Daxin Jiang

According to our database, Daxin Jiang authored at least 194 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Disentangled Retrieval and Reasoning for Implicit Question Answering.

Qian Liu, Xiubo Geng, Yu Wang, Erik Cambria, Daxin Jiang

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

VatLM: Visual-Audio-Text Pre-Training With Unified Masked Prediction for Speech Representation Learning.

Qiushi Zhu, Long Zhou, Ziqiang Zhang, Shujie Liu, Binxing Jiao, Jie Zhang, Li-Rong Dai, Daxin Jiang, Jinyu Li, Furu Wei

IEEE Trans. Multim., 2024

Hypertext Entity Extraction in Webpage.

Yifei Yang, Tianqiao Liu, Bo Shao, Hai Zhao, Linjun Shou, Ming Gong, Daxin Jiang

CoRR, 2024

WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions.

Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment.

Yiyuan Yang, Guodong Long, Michael Blumenstein, Xiubo Geng, Chongyang Tao, Tao Shen, Daxin Jiang

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

ADAM: Dense Retrieval Distillation with Adaptive Dark Examples.

Chongyang Tao, Chang Liu, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang

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

Synergistic Interplay between Search and Large Language Models for Information Retrieval.

Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang

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

Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever.

Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang

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

Fine-Grained Distillation for Long Document Retrieval.

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang

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

2023

MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering.

Qian Liu, Xiubo Geng, Heyan Huang, Tao Qin, Jie Lu, Daxin Jiang

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency.

Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Jian Pei, Daxin Jiang

CoRR, 2023

Instructed Language Models with Retrievers Are Powerful Entity Linkers.

Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Jian Pei, Daxin Jiang

CoRR, 2023

BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver.

Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan

CoRR, 2023

Knowledge Refinement via Interaction Between Search Engines and Large Language Models.

Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang

CoRR, 2023

Augmented Large Language Models with Parametric Knowledge Guiding.

Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

CoRR, 2023

Large Language Models are Strong Zero-Shot Retriever.

Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, Daxin Jiang

CoRR, 2023

WizardLM: Empowering Large Language Models to Follow Complex Instructions.

Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Daxin Jiang

CoRR, 2023

Inference with Reference: Lossless Acceleration of Large Language Models.

Nan Yang, Tao Ge, Liang Wang, Binxing Jiao, Daxin Jiang, Linjun Yang, Rangan Majumder, Furu Wei

CoRR, 2023

Bridge the Gap between Language models and Tabular Understanding.

Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Chenyu You, Jianhui Chang, Daxin Jiang, Jia Li

CoRR, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval.

Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang

CoRR, 2023

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval.

Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang

Proceedings of the ACM Web Conference 2023, 2023

PROD: Progressive Distillation for Dense Retrieval.

Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan

Proceedings of the ACM Web Conference 2023, 2023

Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval.

Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang

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

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers.

Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Large Language Models are Diverse Role-Players for Summarization Evaluation.

Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang

Proceedings of the Natural Language Processing and Chinese Computing, 2023

UnifieR: A Unified Retriever for Large-Scale Retrieval.

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval.

Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization.

Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP.

Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval.

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval.

Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency.

Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Daxin Jiang

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

Instructed Language Models with Retrievers Are Powerful Entity Linkers.

Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang

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

Allies: Prompting Large Language Model with Beam Search.

Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, Linjun Yang, Nan Duan

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

Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning.

Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Iterative Proposal Refinement for Weakly-Supervised Video Grounding.

Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, Daxin Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation.

Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Robust Ranker for Text Retrieval.

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang

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

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval.

Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei

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

CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection.

Chongyang Tao, Jiazhan Feng, Tao Shen, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang

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

Code Execution with Pre-trained Language Models.

Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan

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

FAA: Fine-grained Attention Alignment for Cascade Document Ranking.

Zhen Li, Chongyang Tao, Jiazhan Feng, Tao Shen, Dongyan Zhao, Xiubo Geng, Daxin Jiang

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

Structural Contrastive Pretraining for Cross-Lingual Comprehension.

Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li

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

Alleviating Over-smoothing for Unsupervised Sentence Representation.

Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang

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

A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension.

Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang

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

WIERT: Web Information Extraction via Render Tree.

Zimeng Li, Bo Shao, Linjun Shou, Ming Gong, Gen Li, Daxin Jiang

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

2022

Graph Fusion Network for Text Classification.

Yong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang

Knowl. Based Syst., 2022

Fine-Grained Distillation for Long Document Retrieval.

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Guodong Long, Can Xu, Daxin Jiang

CoRR, 2022

Adam: Dense Retrieval Distillation with Adaptive Dark Examples.

Chang Liu, Chongyang Tao, Xiubo Geng, Tao Shen, Dongyan Zhao, Can Xu, Binxing Jiao, Daxin Jiang

CoRR, 2022

LEAD: Liberal Feature-based Distillation for Dense Retrieval.

Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan

CoRR, 2022

Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei

CoRR, 2022

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP.

Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang

CoRR, 2022

Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation.

Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon, Daxin Jiang

CoRR, 2022

Task-Specific Expert Pruning for Sparse Mixture-of-Experts.

Tianyu Chen, Shaohan Huang, Yuan Xie, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei

CoRR, 2022

Negative Sampling for Contrastive Representation Learning: A Review.

Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen

CoRR, 2022

UnifieR: A Unified Retriever for Large-Scale Retrieval.

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Kai Zhang, Daxin Jiang

CoRR, 2022

Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding.

Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang

CoRR, 2022

NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN.

Minheng Ni, Chenfei Wu, Haoyang Huang, Daxin Jiang, Wangmeng Zuo, Nan Duan

CoRR, 2022

CodeRetriever: Unimodal and Bimodal Contrastive Learning.

Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan

CoRR, 2022

EventBERT: A Pre-Trained Model for Event Correlation Reasoning.

Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang

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

Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training.

Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang

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

Transformer-Empowered Content-Aware Collaborative Filtering.

Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang

Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets.

Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang

Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Rethinking the Value of Gazetteer in Chinese Named Entity Recognition.

Qianglong Chen, Xiangji Zeng, Jiangang Zhu, Yin Zhang, Bojia Lin, Yang Yang, Daxin Jiang

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting.

Qingfeng Sun, Can Xu, Huang Hu, Yujing Wang, Jian Miao, Xiubo Geng, Yining Chen, Fei Xu, Daxin Jiang

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

Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding.

Hao Huang, Xiubo Geng, Guodong Long, Daxin Jiang

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

Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling.

Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang

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

Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning.

Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models.

Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval.

Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang

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

XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation.

Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang

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

Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval.

Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang

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

Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval.

Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang

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

Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding.

Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang

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

CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search.

Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan

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

Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation.

Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan

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

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA.

Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan

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

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings.

Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang

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

NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion.

Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan

Proceedings of the Computer Vision - ECCV 2022, 2022

Social Norms-Grounded Machine Ethics in Complex Narrative Situation.

Tao Shen, Xiubo Geng, Daxin Jiang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation.

Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue

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

ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification.

Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang

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

Multi-View Document Representation Learning for Open-Domain Dense Retrieval.

Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan

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

Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text.

Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan

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

TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge.

Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang

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

Multimodal Dialogue Response Generation.

Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang

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

HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations.

Jia-Chen Gu, Chao-Hong Tan, Chongyang Tao, Zhen-Hua Ling, Huang Hu, Xiubo Geng, Daxin Jiang

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

Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations.

Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan

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

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption.

Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei

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

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks.

Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang

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

FORCE: A Framework of Rule-Based Conversational Recommender System.

Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension.

Nuo Chen, Linjun Shou, Min Gong, Jian Pei, Daxin Jiang

CoRR, 2021

Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph.

Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang

CoRR, 2021

Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning.

Chongyang Tao, Jiazhan Feng, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang

CoRR, 2021

Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer.

Chuhan Wu, Fangzhao Wu, Tao Qi, Binxing Jiao, Daxin Jiang, Yongfeng Huang

CoRR, 2021

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training.

Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang

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

Pivot-based Candidate Retrieval for Cross-lingual Entity Linking.

Qian Liu, Xiubo Geng, Jie Lu, Daxin Jiang

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

CalibreNet: Calibration Networks for Multilingual Sequence Labeling.

Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang

Proceedings of the WSDM '21, 2021

Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation.

Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph.

Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang, Daxin Jiang

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

Language Scaling for Universal Suggested Replies Model.

Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang

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

Table2Charts: Recommending Charts by Learning Shared Table Representations.

Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang, Dongmei Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Language Scaling: Applications, Challenges and Approaches.

Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition.

Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Survey on Response Selection for Retrieval-based Dialogues.

Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang

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

Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning.

Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, Daxin Jiang

Proceedings of the 9th International Conference on Learning Representations, 2021

GraphCodeBERT: Pre-training Code Representations with Data Flow.

Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou

Proceedings of the 9th International Conference on Learning Representations, 2021

Re-entry Prediction for Online Conversations via Self-Supervised Learning.

Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang

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

Learning Neural Templates for Recommender Dialogue System.

Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang

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

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.

Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan

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

Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding.

Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang

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

Learning to Ground Visual Objects for Visual Dialog.

Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang

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

Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning.

Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang

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

Syntax-Enhanced Pre-trained Model.

Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan

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

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters.

Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou

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

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation.

Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan

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

GLGE: A New General Language Generation Evaluation Benchmark.

Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan

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

Maria: A Visual Experience Powered Conversational Agent.

Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang

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

CoSQA: 20, 000+ Web Queries for Code Search and Question Answering.

Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan

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

Reasoning over Entity-Action-Location Graph for Procedural Text Understanding.

Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, Daxin Jiang

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

MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding.

Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang

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

Reinforced Multi-Teacher Selection for Knowledge Distillation.

Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang

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

Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues.

Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan

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

Integrating Pre-trained Model into Rule-based Dialogue Management.

Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang

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

2020

Pre-training Text Representations as Meta Learning.

Shangwen Lv, Yuechen Wang, Daya Guo, Duyu Tang, Nan Duan, Fuqing Zhu, Ming Gong, Linjun Shou, Ryan Ma, Daxin Jiang, Guihong Cao, Ming Zhou, Songlin Hu

CoRR, 2020

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation.

Dayiheng Liu, Yeyun Gong, Jie Fu, Wei Liu, Yu Yan, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan

CoRR, 2020

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning.

Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou

CoRR, 2020

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation.

Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Rangan Majumder, Ming Zhou

CoRR, 2020

Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System.

Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding.

Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang

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

Mining Implicit Relevance Feedback from User Behavior for Web Question Answering.

Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.

Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang

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

Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation.

Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang

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

Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection.

Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou

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

No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension.

Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang

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

Towards Interpretable Reasoning over Paragraph Effects in Situation.

Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang

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

GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis.

Huaishao Luo, Lei Ji, Tianrui Li, Daxin Jiang, Nan Duan

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

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation.

Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan

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

XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation.

Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou

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

CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou

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

A Graph Representation of Semi-structured Data for Web Question Answering.

Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang

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

Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation.

Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang

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

Learning to Generate Reformulation Actions for Scalable Conversational Query Understanding.

Zihan Xu, Jiangang Zhu, Ling Geng, Yang Yang, Bojia Lin, Daxin Jiang

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

LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network.

Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin

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

Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension.

Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu

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

Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension.

Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang

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

RikiNet: Reading Wikipedia Pages for Natural Question Answering.

Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan

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

Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder.

Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou

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

Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning.

Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang

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

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering.

Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu

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

Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training.

Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang

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

2019

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.

Tao Shen, Xiubo Geng, Tao Qin, Guodong Long, Jing Jiang, Daxin Jiang

CoRR, 2019

Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training.

Gen Li, Nan Duan, Yuejian Fang, Daxin Jiang, Ming Zhou

CoRR, 2019

Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System.

Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang

CoRR, 2019

NeuronBlocks - Building Your NLP DNN Models Like Playing Lego.

Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Daxin Jiang

CoRR, 2019

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base.

Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang

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

Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks.

Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou

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

NeuronBlocks: Building Your NLP DNN Models Like Playing Lego.

Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang

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

Joint Type Inference on Entities and Relations via Graph Convolutional Networks.

Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Assertion-Based QA With Question-Aware Open Information Extraction.

Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Deep LSTM based Feature Mapping for Query Classification.

Yangyang Shi, Kaisheng Yao, Le Tian, Daxin Jiang

Proceedings of the NAACL HLT 2016, 2016

2013

Finding email correspondents in online social networks.

Yi Cui, Jian Pei, Guanting Tang, Wo-Shun Luk, Daxin Jiang, Ming Hua

World Wide Web, 2013

A vlHMM approach to context-aware search.

Zhen Liao, Daxin Jiang, Jian Pei, Yalou Huang, Enhong Chen, Huanhuan Cao, Hang Li

ACM Trans. Web, 2013

Mining search and browse logs for web search: A Survey.

Daxin Jiang, Jian Pei, Hang Li

ACM Trans. Intell. Syst. Technol., 2013

2012

Mining query subtopics from search log data.

Yunhua Hu, Ya-nan Qian, Hang Li, Daxin Jiang, Jian Pei, Qinghua Zheng

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Automatically Mining Question Reformulation Patterns from Search Log Data.

Xiaobing Xue, Yu Tao, Daxin Jiang, Hang Li

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion.

Zhen Liao, Daxin Jiang, Enhong Chen, Jian Pei, Huanhuan Cao, Hang Li

ACM Trans. Intell. Syst. Technol., 2011

Multidimensional mining of large-scale search logs: a topic-concept cube approach.

Dongyeop Kang, Daxin Jiang, Jian Pei, Zhen Liao, Xiaohui Sun, Ho-Jin Choi

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

Enhancing web search by mining search and browse logs.

Daxin Jiang, Jian Pei, Hang Li

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Web Search and Browse Log Mining: Challenges, Methods, and Applications.

Daxin Jiang

Proceedings of the Database Systems for Advanced Applications, 2011

2010

Mining discriminative items in multiple data streams.

Zhenhua Lin, Bin Jiang, Jian Pei, Daxin Jiang

World Wide Web, 2010

Web search/browse log mining: challenges, methods, and applications.

Daxin Jiang, Jian Pei, Hang Li

Proceedings of the 19th International Conference on World Wide Web, 2010

Context-aware ranking in web search.

Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Search and browse log mining for web information retrieval: challenges, methods, and applications.

Daxin Jiang, Jian Pei, Hang Li

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

2009

Mining frequent cross-graph quasi-cliques.

Daxin Jiang, Jian Pei

ACM Trans. Knowl. Discov. Data, 2009

Towards context-aware search by learning a very large variable length hidden markov model from search logs.

Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, Hang Li

Proceedings of the 18th International Conference on World Wide Web, 2009

Context-aware query classification.

Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang

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

OLAP on search logs: an infrastructure supporting data-driven applications in search engines.

Bin Zhou, Daxin Jiang, Jian Pei, Hang Li

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

Web Query Recommendation via Sequential Query Prediction.

Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee-Peng Lim, Hang Li

Proceedings of the 25th International Conference on Data Engineering, 2009

2008

Context-aware query suggestion by mining click-through and session data.

Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Mining gene-sample-time microarray data: a coherent gene cluster discovery approach.

Daxin Jiang, Jian Pei, Murali Ramanathan, Chuan Lin, Chun Tang, Aidong Zhang

Knowl. Inf. Syst., 2007

2006

Prediction of Protein Function Using Common-Neighbors in Protein-Protein Interaction Networks.

Chuan Lin, Daxin Jiang, Aidong Zhang

Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

2005

An Interactive Approach to Mining Gene Expression Data.

Daxin Jiang, Jian Pei, Aidong Zhang

IEEE Trans. Knowl. Data Eng., 2005

On mining cross-graph quasi-cliques.

Jian Pei, Daxin Jiang, Aidong Zhang

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Mining Cross-Graph Quasi-Cliques in Gene Expression and Protein Interaction Data.

Jian Pei, Daxin Jiang, Aidong Zhang

Proceedings of the 21st International Conference on Data Engineering, 2005

A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data.

Daxin Jiang, Jian Pei, Aidong Zhang

Proceedings of the Database Systems for Advanced Applications, 2005

2004

Cluster Analysis for Gene Expression Data: A Survey.

Daxin Jiang, Chun Tang, Aidong Zhang

IEEE Trans. Knowl. Data Eng., 2004

GPX: Interactive Mining of Gene Expression Data.

Daxin Jiang, Jian Pei, Aidong Zhang

Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Mining coherent gene clusters from gene-sample-time microarray data.

Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003

Towards interactive exploration of gene expression patterns.

Daxin Jiang, Jian Pei, Aidong Zhang

SIGKDD Explor., 2003

Interactive exploration of coherent patterns in time-series gene expression data.

Daxin Jiang, Jian Pei, Aidong Zhang

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

DHC: A Density-Based Hierarchical Clustering Method for Time Series Gene Expression Dat.

Daxin Jiang, Jian Pei, Aidong Zhang

Proceedings of the 3rd IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2003), 2003