Associate Professor (Ph.D. Supervisor)

Director of Cognitive Computing and Intelligent Information Processing (CCIIP) Laboratory

BIOGRAPHY

Dr. Wei Wei is an Associate Professor in School of Computer Science and Technology at Huazhong University of Science and Technology (HUST), China. Prior to HUST, he was a Research Fellow in School of Computer and Engineering (SCE), Nanyang Technological University (NTU), from Sep. 2012 to May. 2014, under the supervision of Gao Cong and Chunyan Miao; and a Research Fellow in School of Information Systems (SIS), Singapore Management University (SMU), from Jun. 2014 to Mar.2015, under the supervision of Feida Zhu.

During the PhD, he was a Research Intern in MSRA, from Oct. 2009 to Jun. 2010, under the supervision of Bin Gao and Tieyan Liu; a Research Assistant in NTU, from Sep. 2010 to Mar. 2011, under the supervision of Gao Cong; a Visiting Student in NUS, from Jun. 2011 to Dec. 2011, under the supervision of Tat-seng Chua.

RESEARCH INTEREST

  • Information Retrieval

  • Natural Language Processing

  • Artificial Intelligence

  • Data Mining (Text Mining)

  • Statistics Machine Learning

  • Social Media Analysis and Mining

  • Recommender System

RESEARCH TEAM

I am delightful to work with some great students:

  • Mr. Jie Tian,Bachelor, 2022.05

  • Mr. Daihui yangOu,Bachelor, 2022.05

  • Miss. Jue Wang,Bachelor, 2022.05

  • Mr. Han Peng, Bachelor, 2021.08

  • Mr. Jiaqi Shen, Bachelor, 2021.10

  • Mr. Chenlei Shen, Bachelor, 2021.10

  • Mr. Yuanfang Peng, Bachelor, 2021.11

  • Mr. Zhenyi Lu, Bachelor, 2021.10

  • Mr. Guoxuan Cao, Bachelor, 2021.10

  • Mr. Hong Dong, Bachelor, 2021.09

  • Mr. Wendi Li, Bachelor, 2021.08

  • Mr. Shixuan Fan, Bachelor, 2021.08

  • Mr. Daowan Peng, Bachelor, 2021.07

  • Mr. Junchi Hu, Bachelor, 2021.07

  • Mr. Sen Zhao, Bachelor, 2020.09

  • Mr. Xiaofei Wen, Bachelor, 2020.10

  • Miss. Yiting Yu, Bachelor, 2020.10

  • Mr. Ding Zou, Bachelor, 2020.09

  • Mr. Weiran Pan, Bachelor, 2020.08

  • Mr. Luoluo Gao, Bachelor, 2020.08

  • Mr. Fuqiang Peng, Bachelor, 2020.08

  • Miss. Yuanyuan Huang, Bachelor, 2020.08

  • Miss. Shuo Liang, Bachelor, 2019.10

  • Mr. Yuhang Liu, Bachelor, 2019.10

  • Mr. Yifan Liu, Bachelor, 2019.10

  • Mr. Ruihang Zhang, Bachelor, 2019.8


Alumni:

  • Intern

    • Miss. Haonan Feng, Master, 2019.12 -2021.04 (from NUE)

    • Mr. Renjun Luo, Bachelor, 2021.08-2021.09 (from XDU)

    • Mr. Hanyue Du, Bachelor, 2021.08-2021.08 (from HIT)

    • Mr. Bin Ruan, Bachelor, 2021.07-2021.08 (from WUT)

    • Mr. Yangyi Chen, Bachelor, 2020.12-2021.06 (from HUST)

    • Mr. Yichi Zhang, Bachelor, 2020.12-2021.08 (from HUST)

    • Mr. Qunli Li, Bachelor, 2020.11-2021.0` (from HUST)

    • Mr.Jin Su, Bachelor, 2020.12-2021.06 (from HUST)

    • Mr. Lifan Yuan, Bachelor, 2020.10-2021.08 (from HUST)

    • Mr. Ziao Li, Bachelor, 2020.12-2021.08 (from HUST)

    • Mr. Chenhao Fan, Bachelor, 2020.12-2021.08 (from HUST)

    • Haoyang Yuan, Bachelor,2019.03 -2019.09 (from HUST)

    • Hongxin Liu, Bachelor, 2019.03 -2019.12 (from HUST)

    • XuanLei Zhao, Bachelor, 2019.03 -2019.07 (from HUST)

    • Yuxuan Chen,Bachelor, 2019.03 - 2019.06 (from HUST)

    • Honghao, Liu, Bachelor, 2019.07 - 2019.08 (from WHU)

    • Guoxun Chen, Bachelor, 2018.09 - 2019.03 (from HUST)

    • Chenzhan Shang, Bachelor, 2018.09 - 2019.03 (from HUST)

    • Yazhe Zhang, Bachelor, 2018.09 - 2019.03 (from HUST)

    • Mr. Ling Cheng, Master, 2018.09 - 2019.03 (from FDU)

    • Yunjie Xu, Bachelor, 2018.09 - 2019.01 (from HUST)

    • Miss. Wanning Pan, Bachelor, 2018.08 - 2019.01 (from HUST)

    • Jie Xin, Bachelor, 2018.08-2018.09 (from HUST)

    • Weiying Zhang, Bachelor, 2018.07 - 2018.08 (from NEU)

    • Gang Dong, Bachelor, 2018.06 - 2018.07 (from HUST)

    • Shuqi Zhang, Bachelor, 2017.09 - 2018.01 (from HUST)

    • Ziqiang Wu, Bachelor, 2017.05 - 2018.01 (from HUST)


  • Bachelor

    • Zijian Zhang, Bachelor, 2020, (Master at HUST)

    • Yunjie Xu, 2020 (Master at CMU)

    • Jiaxin Yang, 2020 (Master at UBC)

    • Tong Wang, 2020 (Master at NJU)

    • Qincheng Zheng, 2020 (Master at NJU, LAMDA Lab)

    • Xiaoshuang Li,2019 (Huawei Inc.)

    • Churui Ni,2019 (Guangzhou air traffic management bureau)

    • Yilin Zhang, 2019 (Megvii)

    • Ziyang Wang, 2019 (Master at HUST)

    • Yichun Yan, 2018 (Master at UMN)

    • Kuan Huang, 2018 (Maseter at SJTU)

    • Zhao Huang, 2018 (Master at HUST)

    • Chenwei Xu, 2018 (Master at HUST)

    • Chaoyu Xue, 2018 (Hundsun Technologies Inc.)

    • Qiantong Tang, 2017 (Master at PKU)

    • Rui Cheng, 2016 (Master at HUST)

    • Xin Zheng, 2017 (Power Grid)

    • Ouzhu Baima, 2016 (Civil Servant)

    • Chan Yu, 2016 (Master at HUST)


  • Master

    • Yiwen Zhang (ME), 2017

    • Yanping Liu, 2018 (ThoughtWorks)

    • Zhanghang Yin, 2018 (WeSure)

    • Yusheng Wang 2018 (Baidu Inc.)

    • Li Zou 2018 (Ph. D at HUST)

    • Runzhi Xu 2017 (Baidu Inc.)

    • Heng Li, 2018(Nanjing Research Institute

    • Zhiyi Chen, 2018 (Huawei Inc.)

    • Jiaxin Yang, 2018 (Huawei Inc.)

    • Wei Li, 2019 (Baidu Inc.)

    • Yangfan, Gao, 2019 (Baidu Inc.)

    • Hui Zeng, 2019 (Start-up Business)

    • Zanbo Wang, 2019 (Baidu Inc.)

    • Zhenhai Wang, 2019 (Huawei Inc.)

    • Jiayi Liu, 2019 (Alibaba Inc.)

    • Chenwei Xu, 2018 (State Grid Corporation of China)

    • Kefu Re, 2018 (Civil Servant)


  • Ph. D

    • Cangyin Luo, PhD, 2015.06-2015.12 (Co-supervised) (worked at CCNU)

FUNDING

  • 2021.10 - 2022.12, Principle Investigator (PI) of "Controllable Dialogue System Based on Expert Exerience ", 296K.

  • 2021.09 - 2022.01, Principle Investigator (PI) of "Intelligent Document Analysis System ", 200K.

  • 2019.11 - 2020.03, Principle Investigator (PI) of "Intelligent Financial System ", 700K.

  • 2019.11 - 2020.03, Principle Investigator (PI) of "Intelligent Recommendation", 400K.

  • 2019.01-2020.12, Principle Investigator (PI) of "Intelligent Information Fusion ", 2M.

  • 2018.11 - 2019.03, Principle Investigator (PI) of "Natural Language Processing Tools", 600K.

  • 2018.11 - 2019.03, Principle Investigator (PI) of "Resume Parsing", 200K.

  • 2017.09 - 201809 Principle Investigator (PI) of a joint Laboratory (named Hero) between Huazhong University of Sci. & Tec. and Ronglian Co, Ltd, 1M.

  • 2017.01 - 2019.12, Principle Investigator (PI) of "Topic-Specific Expert Finding in Social Network", NSFC Grant (Youth Program, 210K)

  • 2016.01 - 2017.12, Principle Investigator (PI) of "Summarization of Community Question-Answering", National Natural Science Foundation of HuBei Province, 50K.

  • 2016.01-2017.12 Principle Investigator (PI) of Fundamental Research Funds for the Central Universities, 70K.

  • 2015.04 - 2018.04, HUST University Starup Grant, 150K.

TEACHING

  • Natural Language Processing, 2021, (Undergraduate)

  • Discrete Mathematics, 2020 (Undergraduate)

  • Introduction to Artificial Intelligence, 2019/2020 (Undergraduate)

  • Information Retrieval, 2018/2019/2020 /2021 (Undergraduate)

  • Principles of Computer Composition, 2018 (Undergraduate)

  • Data Structure, 2015/2016/2017 (Undergraduate)

  • Key Technology of Mobile Spatio-Temporal Database, 2016 (Doctor)

  • Curriculum Design of Data Structure, 2016 (Undergraduate)

SELECTED PUBLICATIONS

(*=corresponding author)

  1. Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting

Zezhi Shao, Zhao Zhang, Wei Wei*, Fei Wang*, Yongjun Xu, Xin Cao, Christian S. Jensen

In: 48th International Conference on Very Large Databases (PVLDB 2022), Sydney, Australia, 2022.

  1. Toward Real-life Dialogue State Tracking Involving Negative Feedback Utterances

Puhai Yang,Heyan Huang,Wei Wei, Xian-Ling Mao

In: Proceedings of the 28th International ACM SIGKDD Conference on Research and Development Knowledge Discovery and Data Mining (SIGKDD 2022), Washington DC Convention Center, USA, to appear.

  1. Automatic Noisy Label Correction for Fine-Grained Entity Typing [PDF] [Sourcecode]

Weiran Pan,Wei Wei*,Feida Zhu

In: Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI’ 2022), Messe Wien, Vienna, Austria, to appear.

  1. Declaration-based Prompt Tuning for Visual Question Answering [PDF] [Sourcecode]

Yuhang Liu, Wei Wei*,Daowan Peng, Feida Zhu,

In: Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI’ 2022), Messe Wien, Vienna, Austria, to appear.

  1. Relational Triple Extraction: One Step is Enough

Yu-Ming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao,

In: Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI’ 2022), Messe Wien, Vienna, Austria, to appear.

  1. Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System [PDF] [Sourcecode]

Ding Zou, Wei Wei*, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu and Xin Cao

In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022). Madrid, Spain, 2022, to appear.

  1. BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis [PDF][Sourcecode]

Shuo Liang, Wei Wei*, Xian-Ling Mao, Fei Wang, Zhiyong He

In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Findings of ACL'22). Dublin, Germany. 2022, to appear.

  1. Cross-Lingual Phrase Retrieval

Heqi Zheng, Xiao Zhang, Zewen Chi, Heyan Huang, Yan Tan, Tian Lan, Wei Wei, Xian-Ling Mao

In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL'22). Dublin, Germany. 2022, to appear.

  1. Multi-view Intent Disentangle Graph Networks for Bundle Recommendation [PDF] [Sourcecode]

Sen Zhao, Wei Wei*, Ding Zou, Xian-Ling Mao

In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI'2022). Vancouver, Canada. 2022, to appear.

  1. Multi-level Contrastive Learning Framework for Sequential Recommendation

Ziyang Wang, Huoyu Liu, Wei Wei*, Yue Hu, Xian-Ling Mao, Shaojian He, Rui Fang, Dangyang Chen

In: Proceedings of 31st ACM International Conference on Information and Knowledge Management (CIKM 2022) Atlanta, Georgia, USA, 2022.

  1. Improving Personality Consistency in Conversation by Persona Extending

Yifan Liu, Wei Wei*, Jiayi Liu, Xian-Ling Mao, Rui Fang, Dangyang Chen

In: Proceedings of 31st ACM International Conference on Information and Knowledge Management (CIKM 2022) Atlanta, Georgia, USA, 2022.

  1. Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

Ding Zou, Wei Wei*, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang, Dangyang Chen

In: Proceedings of 31st ACM International Conference on Information and Knowledge Management (CIKM 2022) Atlanta, Georgia, USA, 2022.

  1. Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting

Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei and Yongjun Xu.

In: Proceedings of 31st ACM International Conference on Information and Knowledge Management (CIKM 2022, Short Paper) Atlanta, Georgia, USA, 2022.

  1. CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network [PDF]

Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, to appear.

  1. Depth-aware and Semantic Guided Relational Attention Network for Visual Question Answering

Yuhang Liu, Wei Wei*,Daowan Peng, Xian-Ling Mao, Zhiyong He, Pan Zhou

IEEE Transactions on Multimedia (TMM), 2022, to appear.

  1. Deep Cross-modal Proxy Hashing

Rong-Cheng Tu, Xian-Ling Mao, Rong-Xin Tu, Binbin Bian, Wei Wei, Heyan Huang

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, to appear.

  1. Intra-category Aware Hierarchical Supervised Document Hashing [PDF]

Jia-Nan Guo, Xian-Ling Mao, Wei Wei, Heyan Huang,

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, to appear.

  1. Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction [PDF]

Yuming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao

ACM Transactions on Information Systems (TOIS), 2022, to appear.

  1. Three Birds, One Stone: A Novel Translation based Framework for Joint Entity and Relation Extraction [PDF]

Heyan Huang, Yu-Ming Shang, Xin Sun, Wei Wei and Xianling Mao

Knowledge-Based Systems (KBS, IF = 5.101), 2022, to appear.

  1. A Pattern-aware Self-attention Network for Distant Supervised Relation Extraction [PDF]

Yu-Ming Shang, Heyan Huang, Xin Sun, Wei Wei and Xian-Ling Mao

Information Sciences (INS, IF = 5.524)., 2022, to appear.

  1. User-based Network Embedding for Opinion Spammer Detection [PDF]

Ziyang Wang, Wei Wei*, Xian-Ling Mao, Guibing Guo, Pan Zhou, Sheng Jiang

Pattern Recognition (PR, IF=7.74) , 2022, to appear.

  1. Person-job fit estimation from candidate profile and related recruitment history with Co-Attention Neural Networks

Ziyang Wang, Wei Wei*,Chenwei Xu,Jun Xu,Xian-Ling Mao

Neurocomputing (IF=5.71), 2022, to appear.

  1. Context-aware Entity Typing in Knowledge Graph [PDF] [Sourcecode]

Weiran Pan, Wei Wei*, Xian-Ling Mao

In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP'2021), Punta Cana, Dominican Republic.

  1. Multi-granularity Textual Adversarial Attack with Behavior Cloning [PDF] [Sourcecode]

Yangyi Chen, Jin Su, Wei Wei*

In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP'2021), Punta Cana, Dominican Republic.

  1. LASH: Large-scale Academic Deep Semantic Hashing [PDF]

Jia-Nan Guo, Xian-Ling Mao, Tian Lan, Rong-Xin Tu, Wei Wei and Heyan Huang

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021, to appear.

  1. Target Guided Emotion Aware Chat Machine [PDF]

Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng

ACM Transactions on Information Systems (TOIS), 2021, to appear.

  1. Weighted Gaussian Loss based Hamming Hashing [PDF]

Rong-Cheng Tu, Xian-Ling Mao, Cihang Kong, Zihang Shao, Ze-Lin Li, Wei Wei, Heyan Huang

The 29th ACM International Conference on Multimedia (ACM MM 2021), China, to appear.

  1. Context-aware Biaffine Localizing Network for Temporal Sentence Grounding [PDF]

Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, and Yulai Xie

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'2021), Visual Conference. 2021, to appear.

  1. Partial-Softmax Loss based Deep Hashing [PDF]

Rong-Cheng Tu, Xian-Ling Mao, Jia-Nan Guo, Wei Wei, Heyan Huang

In: Proceedings of the 30th The Web Conference on Artificial Intelligence (WWW'2021). Ljubljana, Slovenia, 2021, to appear.

  1. Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation [PDF]

Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou

In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'2021). Visual Conference. 2021, to appear.

  1. Reinforced History Backtracking for Conversational Question Answering [PDF]

Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang

In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'2021). Visual Conference. 2021, to appear.

  1. Deep Kernel Supervised Hashing for Node Classification in Structural Networks [PDF]

Jia-Nan Guo, Xian-Ling Mao, Shu-Yang Lin, Wei Wei and Heyan Huang

Information Sciences (INS, IF = 5.524)., 2021, to appear.

  1. Attend to Where and When: Cascaded Attention Network for Facial Expression Recognition [PDF]

Xiaoye Qu, Zhikang Zou, Xinxing Su, Pan Zhou, Wei Wei, Shiping Wen and Dapeng Oliver Wu

IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) 2021, to appear.

  1. PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems [PDF]

Tian Lan, Xian-Ling Mao, Wei Wei, Xiaoyan Gao, Heyan Huang

ACM Transactions on Information Systems (TOIS), 2020, to appear.

  1. Position-Aware Self-Attention based Neural Sequence Labeling [PDF]

Wei Wei, Zanbo Wang, Xianling Mao, Guangyou Zhou, Pan Zhou, Sheng Jiang

Pattern Recognition (PR, IF=7.196) , 2021, to appear.

  1. Node2LV: Squared Lorentzian Representations for Node Proximity [PDF]

Feng Shanshan, Chen Lisi, Zhao Kaiqi, Wei Wei, Fan Li, Shuo Shang

In: Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE'2021, Short Paper), to appear.

  1. Unsupervised Deep Hashing via Adaptive Clustering [PDF]

Shuying Yu, Xian-Ling Mao, Wei Wei, and Heyan Huang

The 5th APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM 2021), China, to appear.

  1. MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing [PDF]

Rong-Cheng Tu, Xian-Ling Mao, Wei Wei

In: Proceedings of The 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020) , Yokohama, Japan, 2020, to appear.

  1. Global Context Enhanced Graph Neural Networks for Session-based Recommendation [PDF][Source Code+Data]

Ziyang Wang, Wei Wei*, Gao Cong, Xiaoli-Li, Xian-Ling Mao, Minghui Qiu.

In: Proceedings of the 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2020), Xi'an, China, 2020, to appear.

  1. Are Noisy Sentences Useless for Distant Supervised Relation Extraction? [PDF]

Yu-Ming Shang, He-Yan Huang, Xian-Ling Mao, Xin Sun, Wei Wei

In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'2020). Hilton New York Midtown, New York, USA. 2020, to appear.

  1. Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning [PDF]

Rong-Cheng Tu, Xian-Ling Mao, Bing Ma, Yong Hu, Tan Yan, Wei Wei and Heyan Huang

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020, to appear.

  1. Crowd Counting via Hierarchical Scale Recalibration Network [PDF]

Zhikang Zou, Yifan Liu, Shuangjie Xu, Wei Wei, Shiping Wen, Pan Zhou

In: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI'2020), to appear.

  1. Fast Discrete Factorization Machine for Personalized Item Recommendation [PDF]

Shilin Qu, Guibing Guo, Yuan Liu, Yuan Yao, Wei Wei

Knowledge-Based Systems (KBS, IF = 5.101), 2020, to appear.

  1. 3D-CNN-SPP: A Patient Risk Prediction System from Electronic Health Records via 3D CNN and Spatial Pyramid Pooling [PDF]

Ronghui Ju, Pan Zhou, Shiping Wen, Wei Wei, Yuan Xue, Xiaolei Huang, Xin Yang

IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) 2020, to appear.

  1. A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition [PDF]

Houjin Yu, Xian-Ling Mao, Zewen Chi, Wei Wei, Heyan Huang

IEEE International Conference on Knowledge Graph (ICKG 2020), to appear. [Best Student Paper Award]

  1. Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation [PDF]

Ling Cheng, Wei Wei*, Yong Liu, Xian-Ling Mao, Chunyan Miao

IEEE ACCESS, 2020, to appear.

  1. Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction [PDF] [Source Code+Data]

Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou and Yuchong Hu

In: Proceedings of the 28th ACM International Conference on Conference on Information and Knowledge Management (CIKM'2019), Beijing, China, 2019.

  1. Enhanced 3D convolutional networks for crowd counting

Zhikang Zou, Huiliang Shao, Xiaoye Qu , Wei Wei and Pan Zhou

In: The 30th British Machine Vision Conference (BMVC'2019) , UK, 2019.

  1. k-Reciprocal Harmonious Attention Network for Video-Based Person Re-Identification [PDF]

XinXing Su, XiaoYe Qu, ZhiKAang Zou, Pan Zhou, Wei Wei, ShiPing Wen, MengLan Hu

IEEE ACCESS (IF: 3.557 ), 7(1):22457-22470, 2019.

  1. Enhanced Self-coding for Available Mem-cached

Liangfeng Cheng, Yuchong Hu, Wei Wei and Renzhi Xiao

In: The 16th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA'2018), 2018.

  1. Deep Representation Learning for Trajectory Similarity Computation. [PDF]

Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei

In: Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE'2018), Paris, Fr, 2018.

  1. Topic categorization and representation of health community generated data. [PDF]

Maofu Liu, He Zhang, Huijun Hu, Wei Wei

Multimedia Tools and Applications (MTAP), 76(8), 10575-10597, 2017.

  1. Monocular Scene Flow Estimation via Variational method.[PDF]

Degui Xiao, Quiwei Yang, Bing Yang, Wei Wei

Multimedia Tools and Applications (MTAP), 76(8), 10541-10553, 2017.

  1. Learning to Find Topic Experts in Twitter via Different Relations. [PDF]

Wei Wei, Gao Cong, Chunyan Miao, Feida Zhu and Guohui Li

IEEE Transactions on Knowledge and Data Engineering (TKDE). 28(7): 1764 -1778, 2016.

  1. A Ranking Approach on Large-Scale Graph with Multi-Dimensional Heterogeneous Information. [PDF]

Wei Wei, Bin Gao, Tie-Yan Liu, Taifeng Wang, Guo-Hui Li and Hang Li

IEEE Transactions on Cybernetics (TCYB, IF = 10.387). 46(4): 930-944, 2016.

  1. Exploring Heterogeneous Features for Query-focused Summarization of Categorized Community Answers. [PDF]

Wei Wei, ZhaoYan Ming, Liqiang Nie, Guohui Li, Jianjun Li, Feida Zhu, Tianfeng Shang and Changyin Luo

Information Sciences (INS, IF = 5.524). 330: 403-423, 2016.

  1. RkNN query Integrity with influence zone. [PDF]

Guohui Li, Changyin Luo, Wei Wei *, Jianjun Li

Information Systems (IS, IF = 2.777). 56:214-231, 2016.

  1. Efficient reverse spatial and textual k nearest neighbor queries on road networks. [PDF]

Changyin Luo, Li Junlin, Guohui Li, Wei Wei*, Yanhong Li, Jianjun Li

Knowledge-Based Systems (KBS, IF = 5.101), 93:121-134, 2016.

  1. Individual Judgments vs. Consensus: Estimating Query-URL Relevance. [PDF]

Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei*, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao and Nishida Toyoaki

ACM Transactions on the Web (TWEB), 10(3): 2016, 1-26.

  1. Temporal Consistency Maintenance Upon Partitioned Multiprocessor Platforms. [PDF]

Jianjun Li, Jian-Jia Chen, Ming Xiong, Guohui Li, Wei Wei*

IEEE Transactions on Computers (TC), 65(5):1632-1645, 2016.

  1. Weakly Supervised Random Forest for Multi-Label Image Clustering and Segmentation. [PDF]

Yingjie Xia, Qianqian Zhu, Wei Wei

In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR'2015), 2015, 227-233 .

  1. Exploiting Geographical Neighborhood Characteristics for Location Recommendation. [PDF]

Yong Liu, Wei Wei, Aixin Sun, Chunyan Miao

In: Proceedings of the 23thACM International Conference on Conference on Information and Knowledge Management (CIKM'2014). ShangHai, China, 2014, 739-748.

  1. Context-Aware Personal Information Retrieval from Multiple Social Networks. [PDF]

Xiaogang Han,Wei Wei*,Chunyan Miao, Jian-Ping Mei and Hengjie Song

IEEE Computational Intelligence Magazine (CIM, IF = 5.857), 9(2):18-28, 2014.

  1. Integrating Community Question and Answer Archives. [PDF]

Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng and Guohui Li

In: Proceedings of the 25thAAAI Conference on Artificial Intelligence (AAAI'2011). San Francisco, California, USA, 2011, 1255-1260.

  1. Semi-supervised ranking on very large graphs with rich metadata. [PDF]

Bin Gao, Tie-Yan Liu,Wei Wei*, Taifeng Wang and Hang Li

In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2011). San Diego, CA, USA, 2011, 96-104.

PROFESSIONAL SERVICES


Program Committee Chair/Senior PC


Program Committee Member

  • PC member for COLING 2022, Hybrid Conference, at Gyeongju, Republic of Korea Gyeongju, Republic of Korea.

  • PC member for CIKM 2022 (short paper), Hybrid Conference, at Hosted in Atlanta, Georgia, USA.

  • PC member for SIGKDD 2022at Washington DC Convention Center, USA.

  • PC member for ACL 2022,at Dublin, Germany.

  • PC member for IJCAI 2022,at Austria.

  • PC member for LREC 2022,at Palais du Pharo.

  • PC member for AAAI 2022,at Vancouver, BC, Canada.

  • PC member for NLPCC 2022, Hybrid Conference, at Guilin, China.

  • PC member for CIKM 2021 (short paper), at Gold Coast, Queensland, Australia.

  • PC member for EMNLP 2021, Virtual Conference.

  • PC member for ACL-IJCNLP 2021,at Bangkok, Thailand.

  • PC member for NAACL 2021,at Mexico City, Mexico.

  • Senior PC member for IJCAI 2021,at Montreal, Canada.

  • PC member for AAAI 2021,Virtual Conference.

  • PC member for EMNLP 2020,at Barceló Bávaro Convention Centre, Punta Cana, Dominican Republic.

  • PC member for AACL 2020,at Suzhou, China.

  • PC member for COLING 2020,at Barcelona, Spain.

  • PC member for IJCAI 2020,at Yokohama, Japan.

  • PC member for ACL 2020,at Seattle, Washington, USA.

  • PC member for AAAI 2020,at Hilton New York Midtown, New York, USA.

  • PC member for ACL 2019, at Florence, Italy.

  • PC member for IJCAI 2019, at Macao, China.

  • PC member for AAAI 2019, at Honolulu, Hawaii, USA.

  • PC member for EMNLP 2019, at Hongkong, China.

  • PC member for CIKM 2019, at Beijing, China.

  • PC member for NLPCC 2019, at Dunhuang, China.

  • PC member for IJCAI 2018, at Stockholm, Sweden.

  • PC member for ADMA 2017;

  • PC member for ICHI 2015;

  • PC member for SDM 2014;

Invited Journal Reviewer :

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)

  • IEEE/ACM Transactions on Audio, Speech and Language Processing(TASLP)

  • ACM Transactions on Asian and Low-Resource Language Information Processing (TALRLIP)

  • IEEE Transactions on Computer (TC)

  • ACM Transactions on Information Systems (TOIS)

  • ACM Transactions on Intelligent Systems and Technology (TIST)

  • ACM Transactions on Knowledge Discovery from Data (TKDD)

  • Pattern Recognition (PR)

  • Information Sciences

  • Chinese Journal of Computers