Weiming Lu

According to our database, Weiming Lu authored at least 117 papers between 2005 and 2024.

Collaborative distances:

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

2024

Specialized Mathematical Solving by a Step-By-Step Expression Chain Generation.

Wenqi Zhang, Yongliang Shen, Guiyang Hou, Kuangyi Wang, Weiming Lu

IEEE ACM Trans. Audio Speech Lang. Process., 2024

GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation.

Fei Tang, Yongliang Shen, Hang Zhang, Zeqi Tan, Wenqi Zhang, Guiyang Hou, Kaitao Song, Weiming Lu, Yueting Zhuang

CoRR, 2024

Entering Real Social World! Benchmarking the Theory of Mind and Socialization Capabilities of LLMs from a First-person Perspective.

Guiyang Hou, Wenqi Zhang, Yongliang Shen, Zeqi Tan, Sihao Shen, Weiming Lu

CoRR, 2024

RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU.

Chengyuan Liu, Shihang Wang, Fubang Zhao, Kun Kuang, Yangyang Kang, Weiming Lu, Changlong Sun, Fei Wu

CoRR, 2024

Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism.

Chang Zong, Jian Shao, Weiming Lu, Yueting Zhuang

CoRR, 2024

Information Re-Organization Improves Reasoning in Large Language Models.

Xiaoxia Cheng, Zeqi Tan, Weiming Lu

CoRR, 2024

ProSwitch: Knowledge-Guided Language Model Fine-Tuning to Generate Professional and Non-Professional Styled Text.

Chang Zong, Yuyan Chen, Weiming Lu, Jian Shao, Yueting Zhuang

CoRR, 2024

Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering.

Chang Zong, Yuchen Yan, Weiming Lu, Eliot Huang, Jian Shao, Yueting Zhuang

CoRR, 2024

Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge.

Yifei Liu, Yiquan Wu, Ang Li, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang

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

Shapley Value Guided Extractive Text Summarization.

Xiaoxia Cheng, Weiming Lu

Proceedings of the IEEE International Conference on Acoustics, 2024

Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering.

Chang Zong, Yuchen Yan, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang

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

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model.

Wenqi Zhang, Zhenglin Cheng, Yuanyu He, Mengna Wang, Yongliang Shen, Zeqi Tan, Guiyang Hou, Mingqian He, Yanna Ma, Weiming Lu, Yueting Zhuang

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

Advancing Process Verification for Large Language Models via Tree-Based Preference Learning.

Mingqian He, Yongliang Shen, Wenqi Zhang, Zeqi Tan, Weiming Lu

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

Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization.

Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu

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

Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives.

Wenqi Zhang, Yongliang Shen, Linjuan Wu, Qiuying Peng, Jun Wang, Yueting Zhuang, Weiming Lu

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

Insert or Attach: Taxonomy Completion via Box Embedding.

Wei Xue, Yongliang Shen, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu

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

Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning.

Yiquan Wu, Anlai Zhou, Yuhang Liu, Yifei Liu, Adam Jatowt, Weiming Lu, Jun Xiao, Kun Kuang

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

Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning.

Zeqi Tan, Yongliang Shen, Xiaoxia Cheng, Chang Zong, Wenqi Zhang, Jian Shao, Weiming Lu, Yueting Zhuang

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

TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models' Theory-of-Mind.

Guiyang Hou, Wenqi Zhang, Yongliang Shen, Linjuan Wu, Weiming Lu

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

Progressive Tuning: Towards Generic Sentiment Abilities for Large Language Models.

Guiyang Hou, Yongliang Shen, Weiming Lu

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

De-biased Attention Supervision for Text Classification with Causality.

Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Stable Prediction With Leveraging Seed Variable.

Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li

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

Multi-Label Classification With Dual Tail-Node Augmentation for Drug Repositioning.

Xinyu Zhu, Weiming Lu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

TaskBench: Benchmarking Large Language Models for Task Automation.

Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang

CoRR, 2023

PUMGPT: A Large Vision-Language Model for Product Understanding.

Shuhui Wu, Zengming Tang, Zongyi Guo, Weiwei Zhang, Baoliang Cui, Haihong Tang, Weiming Lu

CoRR, 2023

Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow.

Wenqi Zhang, Yongliang Shen, Weiming Lu, Yueting Zhuang

CoRR, 2023

Taxonomy Completion with Probabilistic Scorer via Box Embedding.

Wei Xue, Yongliang Shen, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu

CoRR, 2023

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.

Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang, Yong Jiang

CoRR, 2023

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace.

Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang

CoRR, 2023

ML-LJP: Multi-Law Aware Legal Judgment Prediction.

Yifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang

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

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.

Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.

Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang

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

An Expression Tree Decoding Strategy for Mathematical Equation Generation.

Wenqi Zhang, Yongliang Shen, Qingpeng Nong, Zeqi Tan, Yanna Ma, Weiming Lu

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

Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration.

Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang

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

Struct-XLM: A Structure Discovery Multilingual Language Model for Enhancing Cross-lingual Transfer through Reinforcement Learning.

Linjuan Wu, Weiming Lu

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

Good Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages.

Linjuan Wu, Zongyi Guo, Baoliang Cui, Haihong Tang, Weiming Lu

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

MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition.

Shuhui Wu, Yongliang Shen, Zeqi Tan, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu

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

Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization.

Guiyang Hou, Yongliang Shen, Wenqi Zhang, Wei Xue, Weiming Lu

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

Focus-aware Response Generation in Inquiry Conversation.

Yiquan Wu, Weiming Lu, Yating Zhang, Adam Jatowt, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang

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

A Set Prediction Network For Extractive Summarization.

Xiaoxia Cheng, Yongliang Shen, Weiming Lu

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

PromptNER: Prompt Locating and Typing for Named Entity Recognition.

Yongliang Shen, Zeqi Tan, Shuhui Wu, Wenqi Zhang, Rongsheng Zhang, Yadong Xi, Weiming Lu, Yueting Zhuang

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

DiffusionNER: Boundary Diffusion for Named Entity Recognition.

Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang

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

2022

Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph.

Chang Zong, Yueting Zhuang, Weiming Lu, Jian Shao, Siliang Tang

CoRR, 2022

DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition.

Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Minimally-Supervised Relation Induction from Pre-trained Language Model.

Lu Sun, Yongliang Shen, Weiming Lu

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

A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation.

Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Yingfeng Chen, Weiming Lu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition.

Shuhui Wu, Yongliang Shen, Zeqi Tan, Weiming Lu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt.

Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem.

Wenqi Zhang, Yongliang Shen, Yanna Ma, Xiaoxia Cheng, Zeqi Tan, Qingpeng Nong, Weiming Lu

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

Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework.

Yiquan Wu, Yifei Liu, Weiming Lu, Yating Zhang, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang

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

Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment.

Yechun Tang, Xiaoxia Cheng, Weiming Lu

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

Query-based Instance Discrimination Network for Relational Triple Extraction.

Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang

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

Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction.

Xinyu Zhu, Yongliang Shen, Weiming Lu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation.

Yemin Yu, Kun Kuang, Jiangchao Yang, Zeke Wang, Kunyang Jia, Weiming Lu, Hongxia Yang, Fei Wu

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

De-Bias for Generative Extraction in Unified NER Task.

Shuai Zhang, Yongliang Shen, Zeqi Tan, Yiquan Wu, Weiming Lu

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

Parallel Instance Query Network for Named Entity Recognition.

Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang

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

2021

A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction.

Yongliang Shen, Xinyin Ma, Yechun Tang, Weiming Lu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data.

Chenghao Jia, Yongliang Shen, Yechun Tang, Lu Sun, Weiming Lu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Sequence-to-Set Network for Nested Named Entity Recognition.

Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations.

Xinyin Ma, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Weiming Lu

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

Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition.

Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, Weiming Lu

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

2020

EncyCatalogRec: catalog recommendation for encyclopedia article completion.

Wei-ming Lu, Jiahui Liu, Wei Xu, Peng Wang, Baogang Wei

Frontiers Inf. Technol. Electron. Eng., 2020

Enrich cross-lingual entity links for online wikis via multi-modal semantic matching.

Weiming Lu, Peng Wang, Xinyin Ma, Wei Xu, Chen Chen

Inf. Process. Manag., 2020

Boosting Cross-lingual Entity Alignment with Textual Embedding.

Wei Xu, Chen Chen, Chenghao Jia, Yongliang Shen, Xinyin Ma, Weiming Lu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network.

Zeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

SynET: Synonym Expansion using Transitivity.

Jiale Yu, Yongliang Shen, Xinyin Ma, Chenghao Jia, Chen Chen, Weiming Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Adversarial Self-Supervised Data-Free Distillation for Text Classification.

Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu

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

2019

Metro maps for efficient knowledge learning by summarizing massive electronic textbooks.

Weiming Lu, Pengkun Ma, Jiale Yu, Yangfan Zhou, Baogang Wei

Int. J. Document Anal. Recognit., 2019

Entity Synonym Discovery via Multiple Attentions.

Jiale Yu, Weiming Lu, Wei Xu, Zeyun Tang

Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

Incorporating External Knowledge to Boost Machine Comprehension Based Question Answering.

Huan Wang, Weiming Lu, Zeyun Tang

Proceedings of the Advances in Information Retrieval, 2019

Concept Extraction and Prerequisite Relation Learning from Educational Data.

Weiming Lu, Yangfan Zhou, Jiale Yu, Chenhao Jia

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

2018

Identifying Objective and Subjective Words via Topic Modeling.

Hanqi Wang, Fei Wu, Weiming Lu, Yi Yang, Xi Li, Xuelong Li, Yueting Zhuang

IEEE Trans. Neural Networks Learn. Syst., 2018

Active instance matching with pairwise constraints and its application to Chinese knowledge base construction.

Weiming Lu, Hao Dai, Zhenyu Zhang, Chao Wu, Yueting Zhuang

Knowl. Inf. Syst., 2018

2017

Bag-of-Discriminative-Words (BoDW) Representation via Topic Modeling.

Yueting Zhuang, Hanqi Wang, Jun Xiao, Fei Wu, Yi Yang, Weiming Lu, Zhongfei Zhang

IEEE Trans. Knowl. Data Eng., 2017

Regularized Deep Belief Network for Image Attribute Detection.

Fei Wu, Zhuhao Wang, Weiming Lu, Xi Li, Yi Yang, Jiebo Luo, Yueting Zhuang

IEEE Trans. Circuits Syst. Video Technol., 2017

Hybrid storage architecture and efficient MapReduce processing for unstructured data.

Weiming Lu, Yaoguang Wang, Jingyuan Jiang, Jian Liu, Yapeng Shen, Baogang Wei

Parallel Comput., 2017

KeyphraseDS: Automatic generation of survey by exploiting keyphrase information.

Shansong Yang, Weiming Lu, Dezhi Yang, Xi Li, Chao Wu, Baogang Wei

Neurocomputing, 2017

Boosting Collective Entity Linking via Type-Guided Semantic Embedding.

Weiming Lu, Yangfan Zhou, Haijiao Lu, Pengkun Ma, Zhenyu Zhang, Baogang Wei

Proceedings of the Natural Language Processing and Chinese Computing, 2017

Cross-Lingual Entity Matching for Heterogeneous Online Wikis.

Weiming Lu, Peng Wang, Huan Wang, Jiahui Liu, Hao Dai, Baogang Wei

Proceedings of the Natural Language Processing and Chinese Computing, 2017

2016

Aspect Learning for Multimedia Summarization via Nonparametric Bayesian.

Fei Wu, Hanyin Fang, Xi Li, Siliang Tang, Weiming Lu, Yi Yang, Wenwu Zhu, Yueting Zhuang

IEEE Trans. Circuits Syst. Video Technol., 2016

Amplifying scientific paper's abstract by leveraging data-weighted reconstruction.

Shansong Yang, Weiming Lu, Zhanjiang Zhang, Baogang Wei, Wenjia An

Inf. Process. Manag., 2016

Kernelized sparse hashing for scalable image retrieval.

Yin Zhang, Weiming Lu, Yang Liu, Fei Wu

Neurocomputing, 2016

D-Ocean: an unstructured data management system for data ocean environment.

Yueting Zhuang, Yaoguang Wang, Jian Shao, Ling Chen, Weiming Lu, Jianling Sun, Baogang Wei, Jiangqin Wu

Frontiers Comput. Sci., 2016

Diverse Image Captioning via GroupTalk.

Zhuhao Wang, Fei Wu, Weiming Lu, Jun Xiao, Xi Li, Zitong Zhang, Yueting Zhuang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Structured Visual Feature Learning for Classification via Supervised Probabilistic Tensor Factorization.

Xu Tan, Fei Wu, Xi Li, Siliang Tang, Weiming Lu, Yueting Zhuang

IEEE Trans. Multim., 2015

Cross-Modal Learning to Rank via Latent Joint Representation.

Fei Wu, Xinyang Jiang, Xi Li, Siliang Tang, Weiming Lu, Zhongfei Zhang, Yueting Zhuang

IEEE Trans. Image Process., 2015

The classification of multi-modal data with hidden conditional random field.

Xinyang Jiang, Fei Wu, Yin Zhang, Siliang Tang, Weiming Lu, Yueting Zhuang

Pattern Recognit. Lett., 2015

Topic aspect-oriented summarization via group selection.

Hanyin Fang, Weiming Lu, Fei Wu, Yin Zhang, Xindi Shang, Jian Shao, Yueting Zhuang

Neurocomputing, 2015

Improving MapReduce Performance with Partial Speculative Execution.

Yaoguang Wang, Weiming Lu, Renjie Lou, Baogang Wei

J. Grid Comput., 2015

Mining RDF from Tables in Chinese Encyclopedias.

Weiming Lu, Zhenyu Zhang, Renjie Lou, Hao Dai, Shansong Yang, Baogang Wei

Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Taxonomy Induction from Chinese Encyclopedias by Combinatorial Optimization.

Weiming Lu, Renjie Lou, Hao Dai, Zhenyu Zhang, Shansong Yang, Baogang Wei

Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Short Text Understanding by Leveraging Knowledge into Topic Model.

Shansong Yang, Weiming Lu, Dezhi Yang, Liang Yao, Baogang Wei

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Deep Compositional Cross-modal Learning to Rank via Local-Global Alignment.

Xinyang Jiang, Fei Wu, Xi Li, Zhou Zhao, Weiming Lu, Siliang Tang, Yueting Zhuang

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Multi-modal Retrieval via Deep Textual-Visual Correlation Learning.

Jun Song, Yueyang Wang, Fei Wu, Weiming Lu, Siliang Tang, Yueting Zhuang

Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

Sketch the Storyline with CHARCOAL: A Non-Parametric Approach.

Siliang Tang, Fei Wu, Si Li, Weiming Lu, Zhongfei Zhang, Yueting Zhuang

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

2014

Multiple kernel learning with NOn-conVex group spArsity.

Ying Yuan, Weiming Lu, Fei Wu, Yueting Zhuang

J. Vis. Commun. Image Represent., 2014

Learning Multimodal Neural Network with Ranking Examples.

Xinyan Lu, Fei Wu, Xi Li, Yin Zhang, Weiming Lu, Donghui Wang, Yueting Zhuang

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Amplifying scientific paper's abstract by leveraging data-weighted reconstruction.

Shansong Yang, Weiming Lu, Baogang Wei, Wenjia An

Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014

Geo-informative discriminative image representation by semi-supervised hierarchical topic modeling.

Zijian Li, Siliang Tang, Jian Shao, Weiming Lu, Yueting Zhuang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

2013

SRec: An Automatic Slide Capturing and Sharing System.

Zhenkun Zhou, Weiming Lu, Wenjia An

Proceedings of the Digital Libraries: Social Media and Community Networks, 2013

Cross-Reading by Leveraging a Hybrid Index of Heterogeneous Information.

Shansong Yang, Weiming Lu, Baogang Wei

Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013

Supervised Coupled Dictionary Learning with Group Structures for Multi-modal Retrieval.

Yueting Zhuang, Yanfei Wang, Fei Wu, Yin Zhang, Weiming Lu

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Digital Library Engine: Adapting Digital Library for Cloud Computing.

Weiming Lu, Liangju Zheng, Jian Shao, Baogang Wei, Yueting Zhuang

Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

2012

A unified framework for web video topic discovery and visualization.

Jian Shao, Shuai Ma, Weiming Lu, Yueting Zhuang

Pattern Recognit. Lett., 2012

A Scalable, Adaptive, Self-management and Fault-Tolerant Architecture for Digital Library.

Liangju Zheng, Weiming Lu, Meng Zhang, Baofeng Zhang, Baogang Wei

Proceedings of the Outreach of Digital Libraries: A Globalized Resource Network, 2012

HAaaS: Towards Highly Available Distributed Systems.

Yaoguang Wang, Weiming Lu, Bin Yu, Baogang Wei

Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

Transactional Multi-row Access Guarantee in the Key-Value Store.

Yaoguang Wang, Weiming Lu, Baogang Wei

Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

2011

Efficient shape matching for Chinese calligraphic character retrieval.

Weiming Lu, Jiangqin Wu, Baogang Wei, Yueting Zhuang

J. Zhejiang Univ. Sci. C, 2011

A new video text detection method.

Jie Yuan, Baogang Wei, Weiming Lu, Lidong Wang

Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011

2010

CMSOF: a structured data organization framework for scanned Chinese medicine books in digital libraries.

Jie Yuan, Baogang Wei, Lidong Wang, Weiming Lu, Yueting Zhuang

J. Zhejiang Univ. Sci. C, 2010

A digital library architecture supporting massive small files and efficient replica maintenance.

Chunhui Shen, Weiming Lu, Jiangqin Wu, Baogang Wei

Proceedings of the 2010 Joint International Conference on Digital Libraries, 2010

2009

Discovering calligraphy style relationships by Supervised Learning Weighted Random Walk Model.

Weiming Lu, Yueting Zhuang, Jiangqin Wu

Multim. Syst., 2009

Latent Style Model: Discovering writing styles for calligraphy works.

Yueting Zhuang, Weiming Lu, Jiangqin Wu

J. Vis. Commun. Image Represent., 2009

Chinese Brush Calligraphy Character Retrieval and Learning.

Yueting Zhuang, Xiafen Zhang, Weiming Lu, Fei Wu

Proceedings of the Methods and Applications for Advancing Distance Education Technologies, 2009

2007

Chinese Brush Calligraphy Character Retrieval and Learning.

Yueting Zhuang, Xiafen Zhang, Weiming Lu, Fei Wu

Int. J. Distance Educ. Technol., 2007

2006

Region-Based Semantic Similarity Propagation for Image Retrieval.

Weiming Lu, Hong Pan, Jiangqin Wu

Proceedings of the Advances in Multimedia Information Processing, 2006

2005

Web-Based Chinese Calligraphy Retrieval and Learning System.

Yueting Zhuang, Xiafen Zhang, Weiming Lu, Fei Wu

Proceedings of the Advances in Web-Based Learning - ICWL 2005, 4th International Conference, Hong Kong, China, July 31, 2005