Wai Lam

According to our database, Wai Lam authored at least 341 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers.

Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu

ACM Comput. Surv., November, 2024

Nonfactoid Question Answering as Query-Focused Summarization With Graph-Enhanced Multihop Inference.

Yang Deng, Wenxuan Zhang, Weiwen Xu, Ying Shen, Wai Lam

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Joint learning of text alignment and abstractive summarization for long documents via unbalanced optimal transport.

Xin Shen, Wai Lam, Shumin Ma, Huadong Wang

Nat. Lang. Eng., 2024

Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models.

Hongyuan Lu, Zixuan Li, Wai Lam

CoRR, 2024

Harnessing Webpage UIs for Text-Rich Visual Understanding.

Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue

CoRR, 2024

Clean Evaluations on Contaminated Visual Language Models.

Hongyuan Lu, Shujie Miao, Wai Lam

CoRR, 2024

Toxic Subword Pruning for Dialogue Response Generation on Large Language Models.

Hongyuan Lu, Wai Lam

CoRR, 2024

A Survey on the Honesty of Large Language Models.

Siheng Li, Cheng Yang, Taiqiang Wu, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam

CoRR, 2024

Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations.

Hao Yang, Hongyuan Lu, Xinhua Zeng, Yang Liu, Xiang Zhang, Haoran Yang, Yumeng Zhang, Shan Huang, Yiran Wei, Wai Lam

CoRR, 2024

On the Worst Prompt Performance of Large Language Models.

Bowen Cao, Deng Cai, Zhisong Zhang, Yuexian Zou, Wai Lam

CoRR, 2024

VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?

Junpeng Liu, Yifan Song, Bill Yuchen Lin, Wai Lam, Graham Neubig, Yuanzhi Li, Xiang Yue

CoRR, 2024

Exploring Safety Generalization Challenges of Large Language Models via Code.

Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Yu Qiao, Wai Lam, Lizhuang Ma

CoRR, 2024

Consecutive Model Editing with Batch alongside HooK Layers.

Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang Chen, Wai Lam

CoRR, 2024

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.

Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei

CoRR, 2024

Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search.

Yifei Yuan, Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke, Wai Lam

Proceedings of the ACM on Web Conference 2024, 2024

Unveiling the Generalization Power of Fine-Tuned Large Language Models.

Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Exploring Compositional Generalization of Large Language Models.

Haoran Yang, Hongyuan Lu, Wai Lam, Deng Cai

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024

Rephrasing Invokes Better Generations for Large Language Models.

Haoran Yang, Hongyuan Lu, Wai Lam

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents.

Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Thorough Examination of Decoding Methods in the Era of LLMs.

Chufan Shi, Haoran Yang, Deng Cai, Zhisong Zhang, Yifan Wang, Yujiu Yang, Wai Lam

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Chain-of-Dictionary Prompting Elicits Translation in Large Language Models.

Hongyuan Lu, Haoran Yang, Haoyang Huang, Dongdong Zhang, Wai Lam, Furu Wei

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Consecutive Batch Model Editing with HooK Layers.

Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang Chen, Wai Lam

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning.

Sen Yang, Leyang Cui, Deng Cai, Xinting Huang, Shuming Shi, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Revamping Multilingual Agreement Bidirectionally via Switched Back-translation for Multilingual Neural Machine Translation.

Hongyuan Lu, Haoyang Huang, Dongdong Zhang, Furu Wei, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

A Frustratingly Simple Decoding Method for Neural Text Generation.

Haoran Yang, Deng Cai, Huayang Li, Wei Bi, Wai Lam, Shuming Shi

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite.

Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Renjun Hu, Zengming Zhang, Feijun Jiang, Wai Lam

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Reasons to Reject? Aligning Language Models with Judgments.

Weiwen Xu, Deng Cai, Zhisong Zhang, Wai Lam, Shuming Shi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion.

Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics.

Chun Hei Lo, Wai Lam, Hong Cheng, Guy Emerson

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges.

Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam

IEEE Trans. Knowl. Data Eng., November, 2023

Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning.

Yang Deng, Yaliang Li, Bolin Ding, Wai Lam

IEEE Trans. Knowl. Data Eng., November, 2023

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems.

Yang Deng, Wenxuan Zhang, Weiwen Xu, Wenqiang Lei, Tat-Seng Chua, Wai Lam

ACM Trans. Inf. Syst., 2023

Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs.

Sen Yang, Xin Li, Leyang Cui, Lidong Bing, Wai Lam

CoRR, 2023

StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving.

Chang Gao, Haiyun Jiang, Deng Cai, Shuming Shi, Wai Lam

CoRR, 2023

JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning.

Chang Gao, Wenxuan Zhang, Guizhen Chen, Wai Lam

CoRR, 2023

Social Media Fashion Knowledge Extraction as Captioning.

Yifei Yuan, Wenxuan Zhang, Yang Deng, Wai Lam

CoRR, 2023

EPA: Easy Prompt Augmentation on Large Language Models via Multiple Sources and Multiple Targets.

Hongyuan Lu, Wai Lam

CoRR, 2023

A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers.

Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu

CoRR, 2023

Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models.

Hanxu Hu, Hongyuan Lu, Huajian Zhang, Wai Lam, Yue Zhang

CoRR, 2023

Chain-of-Dictionary Prompting Elicits Translation in Large Language Models.

Hongyuan Lu, Haoyang Huang, Dongdong Zhang, Haoran Yang, Wai Lam, Furu Wei

CoRR, 2023

Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder.

Zihao Fu, Wai Lam, Qian Yu, Anthony Man-Cho So, Shengding Hu, Zhiyuan Liu, Nigel Collier

CoRR, 2023

Functional Distributional Semantics at Scale.

Chun Hei Lo, Hong Cheng, Wai Lam, Guy Emerson

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Learning to Ask Clarification Questions with Spatial Reasoning.

Yang Deng, Shuaiyi Li, Wai Lam

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multimodal Fashion Knowledge Extraction as Captioning.

Yifei Yuan, Wenxuan Zhang, Yang Deng, Wai Lam

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader.

Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects.

Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning.

Sen Yang, Xin Li, Lidong Bing, Wai Lam

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TRIP: Accelerating Document-level Multilingual Pre-training via Triangular Document-level Pre-training on Parallel Data Triplets.

Hongyuan Lu, Haoyang Huang, Shuming Ma, Dongdong Zhang, Wai Lam, Zhaochuan Gao, Anthony Aue, Arul Menezes, Furu Wei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text.

Shuaiyi Li, Yang Deng, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation.

Haoran Yang, Yan Wang, Piji Li, Wei Bi, Wai Lam, Chen Xu

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation.

Hongyuan Lu, Wai Lam

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

mPMR: A Multilingual Pre-trained Machine Reader at Scale.

Weiwen Xu, Xin Li, Wai Lam, Lidong Bing

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks.

Weiwen Xu, Xin Li, Yang Deng, Wai Lam, Lidong Bing

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences.

Chaojun Wang, Yang Liu, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Easy-to-Hard Learning for Information Extraction.

Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Enhancing Grammatical Error Correction Systems with Explanations.

Yuejiao Fei, Leyang Cui, Sen Yang, Wai Lam, Zhenzhong Lan, Shuming Shi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Product Question Answering in E-Commerce: A Survey.

Yang Deng, Wenxuan Zhang, Qian Yu, Wai Lam

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations.

Yang Deng, Wenxuan Zhang, Yifei Yuan, Wai Lam

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

On the Effectiveness of Parameter-Efficient Fine-Tuning.

Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge.

Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen

ACM Trans. Inf. Syst., 2022

Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling.

Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam

ACM Trans. Inf. Syst., 2022

TRIP: Triangular Document-level Pre-training for Multilingual Language Models.

Hongyuan Lu, Haoyang Huang, Shuming Ma, Dongdong Zhang, Wai Lam, Furu Wei

CoRR, 2022

From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader.

Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam, Luo Si

CoRR, 2022

Towards Multilingual Transitivity and Bidirectional Multilingual Agreement for Multilingual Document-level Machine Translation.

Hongyuan Lu, Haoyang Huang, Shuming Ma, Dongdong Zhang, Furu Wei, Wai Lam

CoRR, 2022

Informative Text Generation from Knowledge Triples.

Zihao Fu, Yijiang River Dong, Lidong Bing, Wai Lam

CoRR, 2022

Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained Language Models For Classification Tasks.

Haoran Yang, Piji Li, Wai Lam

CoRR, 2022

Improving Lexical Embeddings for Robust Question Answering.

Weiwen Xu, Bowei Zou, Wai Lam, Ai Ti Aw

CoRR, 2022

User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems.

Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Sentiment Analysis of Fashion Related Posts in Social Media.

Yifei Yuan, Wai Lam

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Partner Personas Generation for Dialogue Response Generation.

Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

McQueen: a Benchmark for Multimodal Conversational Query Rewrite.

Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Feijun Jiang, Yuan You, Wai Lam

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction.

Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, Wai Lam

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Generalizable and Robust Text-to-SQL Parsing.

Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance.

Yang Deng, Wenqiang Lei, Wenxuan Zhang, Wai Lam, Tat-Seng Chua

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation.

Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Search Clarification Selection via Query-Intent-Clarification Graph Attention.

Chang Gao, Wai Lam

Proceedings of the Advances in Information Retrieval, 2022

On Controlling Fallback Responses for Grounded Dialogue Generation.

Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations.

Chun Hei Lo, Wai Lam, Hong Cheng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue.

Chang Gao, Wenxuan Zhang, Wai Lam

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

CoreGen: Contextualized Code Representation Learning for Commit Message Generation.

Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu

Neurocomputing, 2021

Using Latent Fine-Grained Sentiment for Cross-Domain Sentiment Analysis.

Kwun Ping Lai, Jackie Chun-Sing Ho, Wai Lam

Int. J. Knowl. Based Organ., 2021

Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling.

Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam

CoRR, 2021

Partner Personas Generation for Diverse Dialogue Generation.

Hongyuan Lu, Wai Lam, Hong Cheng, Helen M. Meng

CoRR, 2021

Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation.

Mudit Chaudhary, Borislav Dzodzo, Sida Huang, Chun Hei Lo, Mingzhi Lyu, Lun Yiu Nie, Jinbo Xing, Tianhua Zhang, Xiaoying Zhang, Jingyan Zhou, Hong Cheng, Wai Lam, Helen Meng

CoRR, 2021

Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback.

Yifei Yuan, Wai Lam

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning.

Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Sentence Structure and Word Relationship Modeling for Emphasis Selection.

Haoran Yang, Wai Lam

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Towards Domain-Generalizable Paraphrase Identification by Avoiding the Shortcut Learning.

Xin Shen, Wai Lam

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching.

Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Aspect-based Sentiment Analysis in Question Answering Forums.

Wenxuan Zhang, Yang Deng, Xin Li, Lidong Bing, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Aspect Sentiment Quad Prediction as Paraphrase Generation.

Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation.

Haoran Yang, Wai Lam, Piji Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Exploiting Reasoning Chains for Multi-hop Science Question Answering.

Weiwen Xu, Yang Deng, Huihui Zhang, Deng Cai, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Multilingual AMR Parsing with Noisy Knowledge Distillation.

Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions.

Haoran Yang, Wanjing Zhang, Wai Lam

Proceedings of the Asian Conference on Machine Learning, 2021

Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation.

Yang Deng, Wenxuan Zhang, Wai Lam

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

Towards Generative Aspect-Based Sentiment Analysis.

Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering.

Weiwen Xu, Huihui Zhang, Deng Cai, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Neural Machine Translation with Monolingual Translation Memory.

Deng Cai, Yan Wang, Huayang Li, Wai Lam, Lemao Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Theoretical Analysis of the Repetition Problem in Text Generation.

Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Narrative Incoherence Detection.

Deng Cai, Yizhe Zhang, Yichen Huang, Wai Lam, Bill Dolan

CoRR, 2020

Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond.

Xin Li, Lidong Bing, Wenxuan Zhang, Zheng Li, Wai Lam

CoRR, 2020

Enhancing Dialogue Generation via Multi-Level Contrastive Learning.

Xin Li, Piji Li, Yan Wang, Xiaojiang Liu, Wai Lam

CoRR, 2020

Contextualized Code Representation Learning for Commit Message Generation.

Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu

CoRR, 2020

Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization.

Piji Li, Lidong Bing, Zhongyu Wei, Wai Lam

CoRR, 2020

Review-guided Helpful Answer Identification in E-commerce.

Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Ensemble Model for Multi-Source Cross-Domain Sentiment Classification with Little Labeled Data.

Kwun Ping Lai, Jackie Chun-Sing Ho, Wai Lam

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling.

Wenxuan Zhang, Yang Deng, Wai Lam

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Soft Kernel-based Ranking on a Statistical Manifold.

Xinshi Lin, Wai Lam

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization.

Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Answering Product-related Questions with Heterogeneous Information.

Wenxuan Zhang, Qian Yu, Wai Lam

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Point-of-Interest Oriented Question Answering with Joint Inference of Semantic Matching and Distance Correlation.

Yifei Yuan, Jingbo Zhou, Wai Lam

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning.

Zihao Fu, Bei Shi, Lidong Bing, Wai Lam

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Cross-Domain Sentiment Classification Using Topic Attention and Dual-Task Adversarial Training.

Kwun Ping Lai, Jackie Chun-Sing Ho, Wai Lam

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

AnswerFact: Fact Checking in Product Question Answering.

Wenxuan Zhang, Yang Deng, Jing Ma, Wai Lam

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Partially-Aligned Data-to-Text Generation with Distant Supervision.

Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-hop Inference for Question-driven Summarization.

Yang Deng, Wenxuan Zhang, Wai Lam

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Domain-Aware Recurrent Neural Network for Cross-Domain Sentiment Classification.

Kwun Ping Lai, Wai Lam, Jackie C. S. Ho

Proceedings of the 3rd International Conference on Data Science and Information Technology, 2020

Dynamic Topic Tracker for KB-to-Text Generation.

Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Intra-/Inter-Interaction Network with Latent Interaction Modeling for Multi-turn Response Selection.

Yang Deng, Wenxuan Zhang, Wai Lam

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce.

Yang Deng, Wenxuan Zhang, Wai Lam

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Review-based Question Generation with Adaptive Instance Transfer and Augmentation.

Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

AMR Parsing via Graph-Sequence Iterative Inference.

Deng Cai, Wai Lam

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Relevance-Promoting Language Model for Short-Text Conversation.

Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Open Domain Event Text Generation.

Zihao Fu, Lidong Bing, Wai Lam

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering.

Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graph Transformer for Graph-to-Sequence Learning.

Deng Cai, Wai Lam

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Reader Comment Digest through Latent Event Facets and News Specificity.

Bei Shi, Wai Lam

IEEE Trans. Knowl. Data Eng., 2019

Persona-Aware Tips Generation?

Piji Li, Zihao Wang, Lidong Bing, Wai Lam

Proceedings of the World Wide Web Conference, 2019

Fact Discovery from Knowledge Base via Facet Decomposition.

Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory.

Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion.

Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Core Semantic First: A Top-down Approach for AMR Parsing.

Deng Cai, Wai Lam

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Context-Aware Helpfulness Prediction for Online Product Reviews.

Iyiola E. Olatunji, Xin Li, Wai Lam

Proceedings of the Information Retrieval Technology, 2019

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis.

Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam

Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank.

Qian Yu, Wai Lam

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction.

Xin Li, Lidong Bing, Piji Li, Wai Lam

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Word Embedding as Maximum A Posteriori Estimation.

Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks.

Yi Liao, Wai Lam, Lidong Bing, Xin Shen

ACM Trans. Inf. Syst., 2018

A learning framework for information block search based on probabilistic graphical models and Fisher Kernel.

Tak-Lam Wong, Haoran Xie, Wai Lam, Fu Lee Wang

Int. J. Mach. Learn. Cybern., 2018

Learning a unified embedding space of web search from large-scale query log.

Lidong Bing, Zheng-Yu Niu, Piji Li, Wai Lam, Haifeng Wang

Knowl. Based Syst., 2018

Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory.

Deng Cai, Yan Wang, Victoria Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi

CoRR, 2018

Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing.

Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang

CoRR, 2018

Actor-Critic based Training Framework for Abstractive Summarization.

Piji Li, Lidong Bing, Wai Lam

CoRR, 2018

Review-Aware Answer Prediction for Product-Related Questions Incorporating Aspects.

Qian Yu, Wai Lam

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

CUIS Team at TREC 2018 CAR Track.

Xinshi Lin, Wai Lam

Proceedings of the Twenty-Seventh Text REtrieval Conference, 2018

Aspect Term Extraction with History Attention and Selective Transformation.

Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Product Question Intent Detection using Indicative Clause Attention and Adversarial Learning.

Qian Yu, Wai Lam

Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content.

Xinshi Lin, Wai Lam, Kwun Ping Lai

Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

QuaSE: Sequence Editing under Quantifiable Guidance.

Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Entity Retrieval via Type Taxonomy Aware Smoothing.

Xinshi Lin, Wai Lam

Proceedings of the Advances in Information Retrieval, 2018

Responding E-commerce Product Questions via Exploiting QA Collections and Reviews.

Qian Yu, Wai Lam, Zihao Wang

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Guiding Approximate Text Classification Rules via Context Information.

Wai Chung Wong, Sunny Lai, Wai Lam, Kwong-Sak Leung

Proceedings of the Information Retrieval Technology, 2018

Learning Domain-Sensitive and Sentiment-Aware Word Embeddings.

Bei Shi, Zihao Fu, Lidong Bing, Wai Lam

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Transformation Networks for Target-Oriented Sentiment Classification.

Xin Li, Lidong Bing, Wai Lam, Bei Shi

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

A new hybrid method for learning bayesian networks: Separation and reunion.

Hui Liu, Shuigeng Zhou, Wai Lam, Jihong Guan

Knowl. Based Syst., 2017

Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern.

Lidong Bing, Zhiming Zhang, Wai Lam, William W. Cohen

Knowl. Based Syst., 2017

Exploiting interactions of review text, hidden user communities and item groups, and time for collaborative filtering.

Yinqing Xu, Qian Yu, Wai Lam, Tianyi Lin

Knowl. Inf. Syst., 2017

Jointly Learning Word Embeddings and Latent Topics.

Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Neural Rating Regression with Abstractive Tips Generation for Recommendation.

Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

CUIS Team for NTCIR-13 AKG Task.

Xinshi Lin, Wai Lam, Shubham Sharma

Proceedings of the 13th NTCIR Conference, 2017

Deep Recurrent Generative Decoder for Abstractive Text Summarization.

Piji Li, Wai Lam, Lidong Bing, Zihao Wang

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization.

Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, Hang Li

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction.

Xin Li, Wai Lam

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset.

Piji Li, Lidong Bing, Wai Lam

Proceedings of the Workshop on New Frontiers in Summarization, 2017

Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization.

Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews.

Lidong Bing, Tak-Lam Wong, Wai Lam

ACM Trans. Internet Techn., 2016

CUIS at the NTCIR-12 MobileClick2 Task.

Kwun Ping Lai, Wai Lam, Lidong Bing

Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks.

Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie

Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model.

Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie

Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Whether This Participant will Attract You to This Event? Exploiting Participant Influence for Event Recommendation.

Yi Liao, Xinshi Lin, Wai Lam

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity.

Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Digesting News Reader Comments via Fine-Grained Associations with Event Facets and News Contents.

Bei Shi, Wai Lam

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Exploring influence among participants for event recommendation.

Yi Liao, Xinshi Lin, Wai Lam

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

A Joint Framework for Collaborative Filtering and Metric Learning.

Tak-Lam Wong, Wai Lam, Haoran Xie, Fu Lee Wang

Proceedings of the Information Retrieval Technology, 2016

Learning a Semantic Space of Web Search via Session Data.

Lidong Bing, Zheng-Yu Niu, Wai Lam, Haifeng Wang

Proceedings of the Information Retrieval Technology, 2016

Detecting Common Discussion Topics Across Culture From News Reader Comments.

Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context.

Lidong Bing, Wai Lam, Tak-Lam Wong, Shoaib Jameel

ACM Trans. Inf. Syst., 2015

Adaptive Concept Resolution for document representation and its applications in text mining.

Lidong Bing, Shan Jiang, Wai Lam, Yan Zhang, Shoaib Jameel

Knowl. Based Syst., 2015

Supervised topic models with word order structure for document classification and retrieval learning.

Shoaib Jameel, Wai Lam, Lidong Bing

Inf. Retr. J., 2015

Topic modeling for conference analytics.

Pengfei Liu, Shoaib Jameel, Wai Lam, Bin Ma, Helen M. Meng

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

A Unified Model for Unsupervised Opinion Spamming Detection Incorporating Text Generality.

Yinqing Xu, Bei Shi, Wentao Tian, Wai Lam

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Reader-Aware Multi-Document Summarization via Sparse Coding.

Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multilingual Viewpoint Detection from news comments.

Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu

Proceedings of the 2015 International Conference on Asian Language Processing, 2015

Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers.

Shoaib Jameel, Wai Lam, Lidong Bing

Proceedings of the Advances in Information Retrieval, 2015

A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank.

Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Abstract Venue Concept Detection from Location-Based Social Networks.

Yi Liao, Shoaib Jameel, Wai Lam, Xing Xie

Proceedings of the Information Retrieval Technology, 2015

Entity Retrieval via Entity Factoid Hierarchy.

Chunliang Lu, Wai Lam, Yi Liao

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Abstractive Multi-Document Summarization via Phrase Selection and Merging.

Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Knowledge Base Refinement Using Limited Amount of Efforts from Experts.

Ki Chan, Wai Lam, Tak-Lam Wong

Int. J. Knowl. Based Organ., 2014

Web page segmentation with structured prediction and its application in web page classification.

Lidong Bing, Rui Guo, Wai Lam, Zheng-Yu Niu, Haifeng Wang

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Latent Aspect Mining via Exploring Sparsity and Intrinsic Information.

Yinqing Xu, Tianyi Lin, Wai Lam, Zirui Zhou, Hong Cheng, Anthony Man-Cho So

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups.

Yinqing Xu, Wai Lam, Tianyi Lin

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Website Community Mining from Query Logs with Two-Phase Clustering.

Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

2013

Robust detection of semi-structured web records using a DOM structure-knowledge-driven model.

Lidong Bing, Wai Lam, Tak-Lam Wong

ACM Trans. Web, 2013

Discovering Low-Rank Shared Concept Space for Adapting Text Mining Models.

Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Web Entity Detection for Semi-structured Text Data Records with Unlabeled Data.

Chunliang Lu, Lidong Bing, Wai Lam, Ki Chan, Yuan Gu

Int. J. Comput. Linguistics Appl., 2013

Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning.

Lidong Bing, Wai Lam, Tak-Lam Wong

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

An unsupervised topic segmentation model incorporating word order.

Shoaib Jameel, Wai Lam

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

An N-Gram Topic Model for Time-Stamped Documents.

Shoaib Jameel, Wai Lam

Proceedings of the Advances in Information Retrieval, 2013

Structured positional entity language model for enterprise entity retrieval.

Chunliang Lu, Lidong Bing, Wai Lam

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

A Nonparametric N-Gram Topic Model with Interpretable Latent Topics.

Shoaib Jameel, Wai Lam

Proceedings of the Information Retrieval Technology, 2013

2012

Probabilistic joint models incorporating logic and learning via structured variational approximation for information extraction.

Xiaofeng Yu, Wai Lam

Knowl. Inf. Syst., 2012

Ranking Text Documents Based on Conceptual Difficulty Using Term Embedding and Sequential Discourse Cohesion.

Shoaib Jameel, Wai Lam, Xiaojun Qian

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

An unsupervised technical difficulty ranking model based on conceptual terrain in the latent space.

Shoaib Jameel, Wai Lam, Xiaojun Qian, Ching-man Au Yeung

Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

N-gram Fragment Sequence Based Unsupervised Domain-Specific Document Readability.

Shoaib Jameel, Xiaojun Qian, Wai Lam

Proceedings of the COLING 2012, 2012

Unsupervised Extraction of Popular Product Attributes from Web Sites.

Lidong Bing, Tak-Lam Wong, Wai Lam

Proceedings of the Information Retrieval Technology, 2012

2011

Normalizing web product attributes and discovering domain ontology with minimal effort.

Tak-Lam Wong, Lidong Bing, Wai Lam

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Ontology enhancement and concept granularity learning: keeping yourself current and adaptive.

Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, Wai Lam

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

An unsupervised ranking method based on a technical difficulty terrain.

Shoaib Jameel, Wai Lam, Ching-man Au Yeung, Sheaujiun Chyan

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Using query log and social tagging to refine queries based on latent topics.

Lidong Bing, Wai Lam, Tak-Lam Wong

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Towards a unified solution: data record region detection and segmentation.

Lidong Bing, Wai Lam, Yuan Gu

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Learning to Adapt Web Information Extraction Knowledge and Discovering New Attributes via a Bayesian Approach.

Tak-Lam Wong, Wai Lam

IEEE Trans. Knowl. Data Eng., 2010

Discovery of logic relations for text mining adaptation using unlabeled data.

Ki Chan, Wai Lam, Tak-Lam Wong

Proceedings of the Recherche d'Information Assistée par Ordinateur, 2010

Adapting relational logic models using unlabeled data.

Ki Chan, Tak-Lam Wong, Wai Lam

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Location and Scatter Matching for Dataset Shift in Text Mining.

Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong

Proceedings of the ICDM 2010, 2010

Pseudo Conditional Random Fields: Joint Training Approach to Segmenting and Labeling Sequence Data.

Shing-Kit Chan, Wai Lam

Proceedings of the ICDM 2010, 2010

Accelerated Training of Maximum Margin Markov Models for Sequence Labeling: A Case Study of NP Chunking.

Xiaofeng Yu, Wai Lam

Proceedings of the COLING 2010, 2010

Jointly Identifying Entities and Extracting Relations in Encyclopedia Text via A Graphical Model Approach.

Xiaofeng Yu, Wai Lam

Proceedings of the COLING 2010, 2010

Learning ontology resolution for document representation and its applications in text mining.

Lidong Bing, Bai Sun, Shan Jiang, Yan Zhang, Wai Lam

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Bidirectional Integration of Pipeline Models.

Xiaofeng Yu, Wai Lam

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

An unsupervised method for joint information extraction and feature mining across different Web sites.

Tak-Lam Wong, Wai Lam

Data Knowl. Eng., 2009

An active learning framework for semi-supervised document clustering with language modeling.

Ruizhang Huang, Wai Lam

Data Knowl. Eng., 2009

Mining employment market via text block detection and adaptive cross-domain information extraction.

Tak-Lam Wong, Wai Lam, Bo Chen

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

A Semi-Supervised Framework for Feature Mapping and Multiclass Classification.

Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong

Proceedings of the SIAM International Conference on Data Mining, 2009

Cross Language Information Extraction Knowledge Adaptation.

Tak-Lam Wong, Kai-On Chow, Wai Lam

Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

An Efficient Method for Generating, Storing and Matching Features for Text Mining.

Shing-Kit Chan, Wai Lam

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Extracting discriminative concepts for domain adaptation in text mining.

Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

An integrated discriminative probabilistic approach to information extraction.

Xiaofeng Yu, Wai Lam, Bo Chen

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Learning to extract and summarize hot item features from multiple auction web sites.

Tak-Lam Wong, Wai Lam

Knowl. Inf. Syst., 2008

Towards More Effective Text Summarization Based on Textual Association Networks.

Yuhui Tao, Shuigeng Zhou, Wai Lam, Jihong Guan

Proceedings of the Fourth International Conference on Semantics, Knowledge and Grid, 2008

An unsupervised framework for extracting and normalizing product attributes from multiple web sites.

Tak-Lam Wong, Wai Lam, Tik-Shun Wong

Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Chinese NER Using CRFs and Logic for the Fourth SIGHAN Bakeoff.

Xiaofeng Yu, Wai Lam, Shing-Kit Chan, Yiu Kei Wu, Bo Chen

Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

A Framework Based on Graphical Models with Logic for Chinese Named Entity Recognition.

Xiaofeng Yu, Wai Lam, Shing-Kit Chan

Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

An Online Cascaded Approach to Biomedical Named Entity Recognition.

Shing-Kit Chan, Wai Lam, Xiaofeng Yu

Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features.

Xiaofeng Yu, Wai Lam

Proceedings of the COLING 2008, 2008

Coreference resolution using expressive logic models.

Ki Chan, Wai Lam, Xiaofeng Yu

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Pronoun Resolution with Markov Logic Networks.

Ki Chan, Wai Lam

Proceedings of the Information Retrieval Technology, 2008

Hidden Dynamic Probabilistic Models for Labeling Sequence Data.

Xiaofeng Yu, Wai Lam

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

An Unsupervised Approach for Product Record Normalization across Different Web Sites.

Tak-Lam Wong, Tik-Shun Wong, Wai Lam

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Adapting Web information extraction knowledge via mining site-invariant and site-dependent features.

Tak-Lam Wong, Wai Lam

ACM Trans. Internet Techn., 2007

Named entity translation matching and learning: With application for mining unseen translations.

Wai Lam, Shing-Kit Chan, Ruizhang Huang

ACM Trans. Inf. Syst., 2007

Introduction to the special topic section on mining Web resources for enhancing information retrieval.

Wai Lam, Christopher C. Yang, Filippo Menczer

J. Assoc. Inf. Sci. Technol., 2007

Customized classification learning based on query projections.

Yiqiu Han, Wai Lam, Charles X. Ling

Inf. Sci., 2007

Efficient in-memory extensible inverted file.

Robert W. P. Luk, Wai Lam

Inf. Syst., 2007

Utilizing hierarchical feature domain values for prediction.

Yiqiu Han, Wai Lam

Data Knowl. Eng., 2007

Active Learning of Constraints for Semi-supervised Text Clustering.

Ruizhang Huang, Wai Lam, Zhigang Zhang

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Semi-supervised Document Clustering via Active Learning with Pairwise Constraints.

Ruizhang Huang, Wai Lam

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model.

Shing-Kit Chan, Wai Lam, Xiaofeng Yu

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Efficient Methods for Biomedical Named Entity Recognition.

Shing-Kit Chan, Wai Lam

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Building Knowledge Base for Reading from Encyclopedia.

Ka Kan Lo, Wai Lam

Proceedings of the Machine Reading, 2007

2006

Customized Generalization of Support Patterns for Classification.

Yiqiu Han, Wai Lam, Charles X. Ling

IEEE Trans. Syst. Man Cybern. Part B, 2006

Introduction to the special topic section on multilingual information systems.

Christopher C. Yang, Wai Lam

J. Assoc. Inf. Sci. Technol., 2006

Integrating XML and CORBA to support collaborative writing using off-the-shelf editing software.

Kei Shiu Ho, Hong Va Leong, Wai Lam, Robert Wing Pong Luk

Inf. Syst., 2006

Using Semantic Relations with World Knowledge for Question Answering.

Ka Kan Lo, Wai Lam

Proceedings of the Fifteenth Text REtrieval Conference, 2006

Refining hierarchical taxonomy structure via semi-supervised learning.

Ruizhang Huang, Zhigang Zhang, Wai Lam

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Collaborative Information Extraction and Mining from Multiple Web Documents.

Tak-Lam Wong, Wai Lam, Shing-Kit Chan

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Extracting and Summarizing Hot Item Features Across Different Auction Web Sites.

Tak-Lam Wong, Wai Lam, Shing-Kit Chan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Text Clustering with Limited User Feedback Under Local Metric Learning.

Ruizhang Huang, Zhigang Zhang, Wai Lam

Proceedings of the Information Retrieval Technology, 2006

2005

Automatic Domain Ontology Generation from Web sites.

Tak-Lam Wong, Wai Lam, Enhong Chen

Trans. SDPS, 2005

Context-based generic cross-lingual retrieval of documents and automated summaries.

Wai Lam, Ki Chan, Dragomir R. Radev, Horacio Saggion, Simone Teufel

J. Assoc. Inf. Sci. Technol., 2005

Extracting causation knowledge from natural language texts.

Ki Chan, Wai Lam

Int. J. Intell. Syst., 2005

Pattern Based Customized Learning for TREC Genomics Track Categorization Task.

Wai Lam, Yiqiu Han, Ki Chan

Proceedings of the Fourteenth Text REtrieval Conference, 2005

Learning to Refine Ontology for a New Web Site Using a Bayesian Approach.

Tak-Lam Wong, Wai Lam

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Lazy Learning for Classification Based on Query Projections.

Yiqiu Han, Wai Lam

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Training Conditional Random Fields with Unlabeled Data and Limited Number of Labeled Examples.

Tak-Lam Wong, Wai Lam

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Exploring Query Matrix for Support Pattern Based Classification Learning.

Yiqiu Han, Wai Lam

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Hot Item Mining and Summarization from Multiple Auction Web Sites.

Tak-Lam Wong, Wai Lam

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Discovering Patterns from Ontology-Derived Texts.

Ki Chan, Wai Lam

Proceedings of the Digital Libraries: Implementing Strategies and Sharing Experiences, 2005

A New Approach for Semi-supervised Online News Classification.

Hon-Man Ko, Wai Lam

Proceedings of the Web and Communication Technologies and Internet-Related Social Issues, 2005

Gene Ontology Classification of Biomedical Literatures Using Context Association.

Ki Chan, Wai Lam

Proceedings of the Information Retrieval Technology, 2005

2004

Learning phonetic similarity for matching named entity translations and mining new translations.

Wai Lam, Ruizhang Huang, Pik-Shan Cheung

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Text Mining from Site Invariant and Dependent Features for Information Extraction Knowledge Adaptation.

Wai Lam, Tak-Lam Wong

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Exploiting Hierarchical Domain Values in Classification Learning.

Yiqiu Han, Wai Lam

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Lazy Learning by Scanning Memory Image Lattice.

Yiqiu Han, Wai Lam

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

MEAD - A Platform for Multidocument Multilingual Text Summarization.

Dragomir R. Radev, Timothy Allison, Sasha Blair-Goldensohn, John Blitzer, Arda Çelebi, Stanko Dimitrov, Elliott Drábek, Ali Hakim, Wai Lam, Danyu Liu, Jahna Otterbacher, Hong Qi, Horacio Saggion, Simone Teufel, Michael Topper, Adam Winkel, Zhu Zhang

Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

Mining events and new name translations from online daily news.

Wai Lam, Pik-Shan Cheung, Ruizhang Huang

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2004

Financial Activity Mining from Online Multilingual News.

Pik-Shan Cheung, Ruizhang Huang, Wai Lam

Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

Phoneme-Based Transliteration of Foreign Names for OOV Problem.

Wei Gao, Kam-Fai Wong, Wai Lam

Proceedings of the Natural Language Processing, 2004

A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes.

Tak-Lam Wong, Wai Lam

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Query-Driven Support Pattern Discovery for Classification Learning.

Yiqiu Han, Wai Lam

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

CatRelate: A New Hierarchical Document Category Integration Algorithm by Learning Category Relationships.

Shanfeng Zhu, Christopher C. Yang, Wai Lam

Proceedings of the Digital Libraries: International Collaboration and Cross-Fertilization, 2004

Interpretable Query Projection Learning.

Yiqiu Han, Wai Lam

Proceedings of the Computational and Information Science, First International Symposium, 2004

Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features.

Wei Gao, Kam-Fai Wong, Wai Lam

Proceedings of the Information Retrieval Technology, Asia Information Retrieval Symposium, 2004

2003

Automatic Textual Document Categorization Based on Generalized Instance Sets and a Metamodel.

Wai Lam, Yiqiu Han

IEEE Trans. Pattern Anal. Mach. Intell., 2003

Direct gold and copper wires bonding on copper.

Hong Meng Ho, Wai Lam, Serguei Stoukatch, Petar Ratchev, Charles J. Vath, Eric Beyne

Microelectron. Reliab., 2003

High-Dimensional Learning Framework for Adaptive Document Filtering.

Wai Lam, Kwok Leung Yu

Comput. Intell., 2003

Web Discovery and Filtering Based on Textual Relevance Feedback Learning.

Wai Lam, Wei Wang, Che-Wang Yue

Comput. Intell., 2003

Exploiting Hierarchical Domain Values for Bayesian Learning.

Yiqiu Han, Wai Lam

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Using Support Vector Machines for Terrorism Information Extraction.

Aixin Sun, Myo-Myo Naing, Ee-Peng Lim, Wai Lam

Proceedings of the Intelligence and Security Informatics, First NSF/NIJ Symposium, 2003

Discovering Bilingual Name Association and Translation From Online News of Different Sources.

Yin-Yee Law, Ruizhang Huang, Wai Lam

Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23, 2003

Supporting Story Link Detection Using Automatic Topic Type Categorization.

Ruizhang Huang, Wai Lam

Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23, 2003

Beyond Supervised Learning of Wrappers for Extracting Information from Unseen Web Sites.

Tak-Lam Wong, Wai Lam, Wei Wang

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Exploiting Heterogeneous Features for Classification Learning.

Yiqiu Han, Wai Lam

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Digesting Bilingual Web News via Mining Financial Activities and Events.

Pik-Shan Cheung, Ruizhang Huang, Wai Lam

Proceedings of the Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access, 2003

Stock prediction: Integrating text mining approach using real-time news.

Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam

Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

Evaluation Challenges in Large-Scale Document Summarization.

Dragomir R. Radev, Simone Teufel, Horacio Saggion, Wai Lam, John Blitzer, Hong Qi, Arda Çelebi, Danyu Liu, Elliott Drábek

Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, 2003

2002

Learning nonlinear multiregression networks based on evolutionary computation.

Kwong-Sak Leung, Man Leung Wong, Wai Lam, Zhenyuan Wang, Kebin Xu

IEEE Trans. Syst. Man Cybern. Part B, 2002

A Distributed Learning Algorithm for Bayesian Inference Networks.

Wai Lam, Alberto Maria Segre

IEEE Trans. Knowl. Data Eng., 2002

Learning good prototypes for classification using filtering and abstraction of instances.

Wai Lam, Chi-Kin Keung, Charles X. Ling

Pattern Recognit., 2002

Discovering Useful Concept Prototypes for Classification Based on Filtering and Abstraction.

Wai Lam, Chi-Kin Keung, Danyu Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2002

News Sensitive Stock Trend Prediction.

Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Extracting Causation Knowledge from Natural Language Texts.

Ki Chan, Boon Toh Low, Wai Lam, Kai-Pui Lam

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Developing Infrastructure for the Evaluation of Single and Multi-document Summarization Systems in a Cross-lingual Environment.

Horacio Saggion, Dragomir R. Radev, Simone Teufel, Wai Lam, Stephanie M. Strassel

Proceedings of the Third International Conference on Language Resources and Evaluation, 2002

Adapting Information Extraction Knowledge For Unseen Web Sites.

Tak-Lam Wong, Wai Lam

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Meta-evaluation of Summaries in a Cross-lingual Environment using Content-based Metrics.

Horacio Saggion, Dragomir R. Radev, Simone Teufel, Wai Lam

Proceedings of the 19th International Conference on Computational Linguistics, 2002

2001

FIDS: an intelligent financial Web news articles digest system.

Wai Lam, Kei Shiu Ho

IEEE Trans. Syst. Man Cybern. Part A, 2001

Chinese document indexing based on a new partitioned signature file: Model and evaluation.

Wai Lam, Kam-Fai Wong, Chi-Yin Wong

J. Assoc. Inf. Sci. Technol., 2001

Modeling user interest shift using a bayesian approach.

Wai Lam, Javed Mostafa

J. Assoc. Inf. Sci. Technol., 2001

Web-based Workflow Framework with CORBA.

Hong Va Leong, Kei Shiu Ho, Wai Lam

Concurr. Eng. Res. Appl., 2001

A Meta-Learning Approach for Text Categorization.

Wai Lam, Kwok-Yin Lai

Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

Automatic Textual Document Categorization Using Multiple Similarity-Based Models.

Kwok-Yin Lai, Wai Lam

Proceedings of the First SIAM International Conference on Data Mining, 2001

Meta-learning Models for Automatic Textual Document Categorization.

Kwok-Yin Lai, Wai Lam

Proceedings of the Knowledge Discovery and Data Mining, 2001

Automatic event generation from multi-lingual news stories.

Kin Hui, Wai Lam, Helen M. Meng

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2001

Automatic Story Segmentation for Spoken Document Retrieval.

Pui-Yu Hui, Xiaoou Tang, Helen M. Meng, Wai Lam, Xinbo Gao

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

A Collaborative Word Processing Systems using a CORBA-Based Workflow Framework.

Kei Shiu Ho, Hong Va Leong, Wai Lam

Proceedings of the 3rd International Symposium on Distributed Objects and Applications, 2001

2000

Using discretization and Bayesian inference network learning for automatic filtering profile generation.

Wai Lam, Kon Fan Low

IEEE Trans. Syst. Man Cybern. Part C, 2000

Automatic classification using supervised learning in a medical document filtering application.

Javed Mostafa, Wai Lam

Inf. Process. Manag., 2000

Prototype Generation Based on Instance Filtering and Averaging.

Chi-Kin Keung, Wai Lam

Proceedings of the Knowledge Discovery and Data Mining, 2000

Learning to Extract Hierarchical Information from Semi-structured Documents.

Wai Lam, Wai-Yip Lin

Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000

1999

Automatic Text Categorization and Its Application to Text Retrieval.

Wai Lam, Miguel E. Ruiz, Padmini Srinivasan

IEEE Trans. Knowl. Data Eng., 1999

Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks.

Man Leung Wong, Wai Lam, Kwong-Sak Leung

IEEE Trans. Pattern Anal. Mach. Intell., 1999

Intelligent content-based document delivery via automatic filtering profile generation.

Wai Lam

Int. J. Intell. Syst., 1999

Medical data mining using evolutionary computation.

Po Shun Ngan, Man Leung Wong, Wai Lam, Kwong-Sak Leung, Jack Chun Yiu Cheng

Artif. Intell. Medicine, 1999

An Intelligent Adaptive Filtering Agent Based on an On-Line Learning Model (poster abstract).

Wai Lam, Kwok Leung Yu

Proceedings of the SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999

To believe is to understand.

Helen M. Meng, Wai Lam, Carmen Wai

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

Updating of Association Rules Dynamically.

King-Kwok Ng, Wai Lam

Proceedings of the 1999 International Symposium on Database Applications in Non-Traditional Environments (DANTE '99), 1999

1998

Bayesian Network Refinement Via Machine Learning Approach.

Wai Lam

IEEE Trans. Pattern Anal. Mach. Intell., 1998

Discovering nonlinear-integral networks from databases using evolutionary computation and minimum description length principle.

Kwong-Sak Leung, Man Leung Wong, Wai Lam, Zhenyuan Wang

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Using a Generalized Instance Set for Automatic Text Categorization.

Wai Lam, Chao Yang Ho

Proceedings of the SIGIR '98: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1998

Constructing Text Filters Based on Bayesian Network Learning.

Wai Lam, Kon Fan Low

Proceedings of the 13th European Conference on Artificial Intelligence, 1998

A New On-Line Learning Algorithm for Adaptive Text Filtering.

Kwok Leung Yu, Wai Lam

Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management, 1998

1997

A Multilevel Approach to Intelligent Information Filtering: Model, System, and Evaluation.

Javed Mostafa, Snehasis Mukhopadhyay, Wai Lam, Mathew J. Palakal

ACM Trans. Inf. Syst., 1997

Using a Bayesian Network Induction Approach for Text Categorization.

Wai Lam, Kon Fan Low, Chao Yang Ho

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Distributed Data Mining of Probabilistic Knowledge.

Wai Lam, Alberto Maria Segre

Proceedings of the 17th International Conference on Distributed Computing Systems, 1997

1996

Detection of Shifts in User Interests for Personalized Information Filtering.

Wai Lam, Snehasis Mukhopadhyay, Javed Mostafa, Mathew J. Palakal

Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1996

A Two-Level Approach to Learning in Nonstationary Environments.

Wai Lam, Snehasis Mukhopadhyay

Proceedings of the Advances in Artificial Intelligence, 1996

1994

Learning Bayesian Belief Networks: An Approach Based on the MDL Principle.

Wai Lam, Fahiem Bacchus

Comput. Intell., 1994

Using New Data to Refine a Bayesian Network.

Wai Lam, Fahiem Bacchus

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Abstraction in Bayesian Belief Networks and Automatic Discovery from Past Inference Sessions.

Wai Lam

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993

Using Causal Information and Local Measures to Learn Bayesian Networks.

Wai Lam, Fahiem Bacchus

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993