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魏巍

（華中科技大學老師）

鎖定
魏巍，教授，海歸博士後，博士生導師，2012年博士畢業於華中科技大學計算機學院。主要研究方向包括人工智能、自然語言處理、信息檢索、數據挖掘、多模計算、推薦系統等。博士就讀期間先後在微軟亞洲研究院，南洋理工大學以及新加坡國立大學從事科學工作。2012年博士畢業後分別在新加坡南洋理工大學及新加坡管理大學從事博士後研究工作。現為計算機學會自然語言處理專委會執委、中國中文信息學會青年工作委員會委員，中國人工智能學會青工委委員，中國中文信息學會社交媒體處理專委會委員，中國人工智學會社會計算與社會智能專委會委員，中國計算機學會高級會員，入選第十批“3551光穀人才計劃”。現主持國家自然科學基金2項（面上/青年），湖北省自然科學基金項目1項，國家十三五預研基金、GF縱向多項、千萬級重大企業橫向1項，CCF-螞蟻基金等，累計經費1800餘萬元。作為骨幹成員參與國家863計劃1項(技術組長), 新加坡國家研究基金2項，微軟亞洲研究院Graphor項目等。目前已發表國際高水平會議及期刊80餘篇（包含CCF A近40篇），主要發表在AAAI、IJCAI、ACL、SIGKDD、SIGIR、SIGMOD、WWW、PVLDB、CVPR、ACM MM、IEEE TKDE、ACM TOIS等。擔任EMNLP 2022 Area Chair，SIGKDD 2021 Poster Chair，AAAI 2023和IJCAI 2021 SPC，長期擔任IJCAI、AAAI、ACL、SIGIR、SIGKDD等國際學術會議PC及重要學術期刊如IEEE TKDE、IEEE TC、ACM TIST、ACM TKDD、IEEE TMM等審稿人，國家自然科學基金評審人等。 [1] 
中文名
魏巍
國    籍
中國
畢業院校
華中科技大學
學位/學歷
博士
職    業
高校教師
職    務
實驗室主任
職    稱
教授

目錄

  1. 1 研究經歷
  2. 2 發表論文
  3. 3 教學
  1. 4 專利
  2. 5 學術活動
  3. 6 科研項目
  1. 7 獎勵及證書

魏巍研究經歷

2023.3 – 至今 計算機科學與技術學院，華中科技大學 教授
2016.11 – 2023.3 計算機科學與技術學院，華中科技大學 副教授
2015.04 – 2016.11 計算機科學與技術學院，華中科技大學 講師
2014.06 – 2015.04 信息系統學院，新加坡管理大學（SMU） Research Fellow
2012.09 –2014.05 計算機與工程學院，新加坡南洋理工大學（NTU）Research Fellow
2011.06–2011.12 計算機學院，新加坡國立大學（NUS） Visiting Student
2010.09–2011.03 計算機與工程學院，新加坡南洋理工大學（NTU）Research Assistant
2009.10–2010.06 信息檢索與挖掘組，微軟亞洲研究院（MSRA） Research Intern

魏巍發表論文

  1. Shuo Liang, Wei Wei*, Xian-Ling Mao , Yuanyuan Fu, Rui Fang, Dangyang Chen. STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction, In: Proceedings of the 37thAAAI Conference on Artificial Intelligence (AAAI'23), Washington DC Convention Center, USA. [CCF A] [2] 
  2. Rong-Cheng Tu, Xian-Ling Mao, Qinghong Lin, Chengfei Cai, Weize Qin, Wei Wei, Hongfa Wang, Heyan Huang. Unsupervised Hashing with Semantic Concept Mining,In: Proceedings of ACM SIGMOD/PODS International Conference on Management Data (SIGMOD 2023), Seattle, WA, USA. [CCF A] [2] 
  3. Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei*, Xuemeng Song, Shuo Shang*, Panos Kalnis，Ling Shao. ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity, IEEE Transactions on Knowledge and Data Engineering (TKDE'2023), 2023, to appear. [CCF A] [2] 
  4. Zezhi Shao, Yongjun Xu, Wei Wei*, Fei Wang*, Zhao Zhang, Feida Zhu. Heterogeneous Graph Neural Network with Multi-view Representation Learning, IEEE Transactions on Knowledge and Data Engineering (TKDE'2023), 2023, to appear. [CCF A] [2] 
  5. Shanshan Feng, Kaiqi Zhao, Lanting Fan, Kaiyu Feng, Wei Wei, Xutao Li, Ling Shang, H-Diffu: Hyperbolic Representations for Information Diffusion Prediction, IEEE Transactions on Knowledge and Data Engineering (TKDE'2023), 2023, to appear. [CCF A] [2] 
  6. Zezhi Shao, Zhao Zhang, Wei Wei*, Fei Wang*, Yongjun Xu, Xin Cao, Christian S. Jensen, Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting, In: 48th International Conference on Very Large Databases (PVLDB 2022), Sydney, Australia, 2022. [CCF A] [2] 
  7. Puhai Yang，Heyan Huang，Wei Wei， Xian-Ling Mao，Toward Real-life Dialogue State Tracking Involving Negative Feedback Utterances，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. [CCF A] [2] 
  8. Yuhang Liu, Wei Wei*，Daowan Peng, Feida Zhu. Declaration-based Prompt Tuning for Visual Question Answering, 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. [CCF A] [2] 
  9. Weiran Pan, Wei Wei*，Feida Zhu. Automatic Noisy Label Correction for Fine-Grained Entity Typing，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. [CCF A] [2] 
  10. Yu-Ming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao, Relational Triple Extraction: One Step is Enough, 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.[CCF A] [2] 
  11. Ding Zou, Wei Wei*, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu and Xin Cao. Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022). Madrid, Spain, 2022, to appear. [Full Paper] [CCF A] [2] 
  12. Sen Zhao, Wei Wei*, Ding Zou, Xian-Ling Mao. Multi-view Intent Disentangle Graph Networks for Bundle Recommendation. In: Proceedings of the 36thAAAI Conference on Artificial Intelligence (AAAI'22). Vancouver, Canada. 2022, to appear. [Full Paper] [CCF A‍] [2] 
  13. Shuo Liang, Wei Wei*, Xian-Ling Mao, Fei Wang, Zhiyong He. BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Findings of ACL'22). Dublin, Germany. 2022, to appear. [Full Paper] [CCF A] [2] 
  14. Heqi Zheng, Xiao Zhang, Zewen Chi, Heyan Huang, Yan Tan, Tian Lan, Wei Wei, Xian-Ling Mao, Cross-Lingual Phrase Retrieval. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL'22). Dublin, Germany. 2022, to appear. [Full Paper] [CCF A] [2] 
  15. Rong-Cheng Tu, Xian-Ling Mao, Rong-Xin Tu, Binbin Bian, Wei Wei and Heyan Huang, Deep Cross-modal Proxy Hashing, IEEE Transactions on Knowledge and Data Engineering (TKDE'2022), 2022, to appear. [CCF A] [2] 
  16. Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei, CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network. IEEE Transactions on Knowledge and Data Engineering (TKDE'2022), 2022, to appear. [CCF A] [2] 
  17. Jia-Nan Guo, Xian-Ling Mao, Wei Wei, Heyan Huang, Intra-category Aware Hierarchical Supervised Document Hashing. IEEE Transactions on Knowledge and Data Engineering (TKDE'2022), 2022, to appear. [CCF A] [2] 
  18. Yuming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao, Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction. ACM Transactions on Information Systems (TOIS'2022), 2022, to appear. [CCF A] [2] 
  19. Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng, Target Guided Emotion Aware Chat Machine, ACM Transactions on Information Systems (TOIS'2021), 2021, to appear. [CCF A] [2] 
  20. Jia-Nan Guo, Xian-Ling Mao, Tian Lan, Rong-Xin Tu, Wei Wei and Heyan Huang, LASH: Large-scale Academic Deep Semantic Hashing, IEEE Transactions on Knowledge and Data Engineering (TKDE'2021), 2021, to appear. [CCF A] [2] 
  21. Rong-Cheng Tu, Xian-Ling Mao, Cihang Kong, Zihang Shao, Ze-Lin Li, Wei Wei, Heyan Huang, Weighted Gaussian Loss based Hamming Hashing, The 29th ACM International Conference on Multimedia (ACM MM 2021), China, to appear. [CCF A] [2] 
  22. Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, and Yulai Xie, Context-aware Biaffine Localizing Network for Temporal Sentence Grounding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR‘2021), 2021 to appear. [CCF A] [2] 
  23. Rong-Cheng Tu, Xian-Ling Mao, Jia-Nan Guo, Wei Wei, Heyan Huang, Partial-Softmax Loss based Deep Hashing, In: Proceedings of the 30th The Web Conference on Artificial Intelligence (WWW'2021). Ljubljana, Slovenia, 2021, to appear. [Full Paper] [CCF A] [2] 
  24. Minghui Qiu，Xinjing Huang，Cen Chen，Feng Ji，Chen Qu，Wei Wei，Jun Huang，Yin Zhang, Reinforced History Backtracking for Conversational Question Answering. In: Proceedings of the 35thAAAI Conference on Artificial Intelligence (AAAI'21). Visual Conference. 2021, to appear. [Full Paper] [CCF A] [2] 
  25. Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou, Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation. In: Proceedings of the 35thAAAI Conference on Artificial Intelligence (AAAI'21). Visual Conference. 2021, to appear. [Full Paper] [CCF A] [2] 
  26. Feng Shanshan, Chen Lisi, Zhao Kaiqi, Wei Wei, Fan Li, Shuo Shang, Node2LV: Squared Lorentzian Representations for Node Proximity, In: In: Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE'2021), to appear. [Poster, 6 pages] [CCF A] [2] 
  27. Tian Lan, Xian-Ling Mao, Wei Wei, Xiaoyan Gao, Heyan Huang, PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems, ACM Transactions on Information Systems （TOIS’2020）, 2020, to appear. [ [2]  CCF A] [2] 
  28. Ziyang Wang, Wei Wei*, Gao Cong, Xiaoli-Li, Xian-Ling Mao, Minghui Qiu. Global Context Enhanced Graph Neural Networks for Session-based Recommendation. Proceedings of the 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2020), Xi'an, China, 2020, to appear. [Full Paper] (CCF A) [2] 
  29. Yu-Ming Shang, He-Yan Huang, Xian-Ling Mao, Xin Sun, Wei Wei. Are Noisy Sentences Useless for Distant Supervised Relation Extraction? Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'2020). Hilton New York Midtown, New York, USA. 2020, to appear. [Full Paper] (CCF A) [2] 
  30. Rong-Cheng Tu, Xian-Ling Mao, Bing Ma, Yong Hu, Tan Yan, Wei Wei and Heyan Huang. Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020, to appear. (CCF A) [2] 
  31. Rong-Cheng Tu, Xian-Ling Mao, Wei Wei. MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing. 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. [Full Paper] (CCF A) [2] 
  32. Ronghui Ju, Pan Zhou, Shiping Wen, Wei Wei, Yuan Xue, Xiaolei Huang, Xin Yang. 3D-CNN-SPP: A Patient Risk Prediction System from Electronic Health Records via 3D CNN and Spatial Pyramid Pooling. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) 2020, to appear. [2] 
  33. Shilin Qu, Guibing Guo, Yuan Liu, Yuan Yao, Wei Wei. Fast Discrete Factorization Machine for Personalized Item Recommendation. Knowledge-Based Systems (KBS, IF = 5.101), 2020, to appear. [2] 
  34. Zhikang Zou, Yifan Liu, Shuangjie Xu, Wei Wei, Shiping Wen, Pan Zhou. Crowd Counting via Hierarchical Scale Recalibration Network. Proceedings of the 24th European Conference on Artificial Intelligence (ECAI'2020), to appear. [2] 
  35. Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou and Yuchong Hu, Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction, Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM'2019), 2019. (CCF B) [2]  [Full Paper, Oral]
  36. Xiucheng Li,Kaiqi Zhao,Gao Cong,Christian S. Jensen, Wei Wei. Deep Representation Learning for Trajectory Similarity Computation. In: Proceedings of the 34th IEEE International Conferenceon Data Engineering (ICDE'2018), Paris, Fr, 2018. [Full Paper] (CCF A) [2] 
  37. Zhikang Zou, Huiliang Shao, Xiaoye Qu , Wei Wei and Pan Zhou, Enhanced 3D convolutional networks for crowd counting, In: The 30th British Machine Vision Conference (BMVC'19) , UK, 2019.
  38. Wei Wei, Gao Cong, Chunyan Miao, Feida Zhu and Guohui Li, "Learning to Find Topic Experts in Twitter via Different Relations", IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(7):1764-1778,2016.(CCF A) [3] 
  39. Wei Wei, Bin Gao, Tie-YanLiu, Taifeng Wang, Guo-HuiLi and Hang Li, “ A Ranking Approach on Large-Scale Graph with Multi-Dimensional Heterogeneous Information”, IEEE Transactions on Cybernetics (IF=10.386), 46(4):930-944, 2016.(CCF B)
  40. Wei Wei, ZhaoYan Ming, Liqiang Nie, Guohui Li, Jianjun Li, Feida Zhu, Tianfeng Shang and Changyin Luo, "Exploring Heterogeneous Features for Query-focused Summarization of Categorized Community Answers", Information Sciences (IF=4.832), 330:403-423, 2016. (CCF B)
  41. 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, "Individual Judgments vs. Consensus: Estimating Query-URL Relevance", ACM Transactions on the Web (TWEB), 10(3), 2016. (CCFB).
  42. Jianjun Li, JianJia Chen, Ming Xiong, GuohuiLi,Wei Wei*, "Temporal Consistency Maintenance Upon Partitioned Multi-processor Platforms", IEEE Transactions on Computers (IF=2.916), 65(5):1632-1645, 2016.(CCF A).
  43. Yingjie Xia, Qianqian Zhu,Wei Wei, “Weakly Supervised Random Forest for Multi-Label Image Clustering and Segmentation”, In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR'15), pp.227-233, 2015. (CCF B)
  44. Yong Liu,Wei Wei, Aixin Sun, Chunyan Miao, “Exploiting Geographical Neighborhood Characteristics for Location Recommendation”, In: Proceedings of the 23th ACM International Conference on Information and Knowledge Management(CIKM'2014), Shang Hai, China, pp.739-748, 2014. (CCF B) [FullPaper,Oral]
  45. Xiaogang Han,Wei Wei*,Chunyan Miao, Jian-Ping Mei and Hengjie Song, “Context-Aware Personal Information Retrieval from Multiple Social Networks”, IEEE Computational Intelligence Magazine (IF=6.343), 9(2):18-28, 2014. (SCI)
  46. Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng and Guohui Li, “Integrating Community Question and Answer Archives”, In: Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI'2011), San Francisco, California, USA,pp.1255-1260, 2011. (CCF A) [Full Paper, Oral]
  47. Bin Gao, Tie-YanLiu,Wei Wei*, Taifeng Wang and Hang Li, “Semi-supervised ranking on very large graphs with rich metadata”, In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2011), San Diego, CA, USA, pp.96-104, 2011. (CCF A) [Full Paper, Oral Rate=8.7%]

魏巍教學

2017:數據結構理論/實驗（本科）
2016：數據結構理論/實驗（本科）、數據結構課程設計（本科）、大規模圖排序（博士）
2015：數據結構理論/實驗（本科）

魏巍專利

“一種無線傳感器網絡仿真系統”, CN101841839A (201010100830.3)

魏巍學術活動

Program Committee Member： [4] 
  • PC member for SIGIR 2023, Hybrid Conference, at Taipei, China.
  • PC member for ACL 2023, Hybrid Conference, at Toronto, Canada.
  • PC member for SIGKDD 2023, Hybrid Conference, at Long Beach，CA
  • PC member for IJCAI 2023, Hybrid Conference, at Cape Town, South Africa.
  • PC member for ECAI 2023, Hybrid Conference, at Kraków, Poland.
  • PC member for EACL 2023, Hybrid Conference, at Dubrovnik, Croatia.
  • PC member for AAAI 2023, Hybrid Conference, at Washington DC Convention Center, USA.
  • PC member for SIGKDD 2022，at 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 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.
  • 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 IJCAI 2018, at Stockholm, Sweden.
Invited Journal Reviewer： [4] 
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • ACM Transactions on Information Systems (TOIS)
  • IEEE Transactions on Computer (TC)
  • IEEE Transactions on Multimedia (TMM)
  • ACM Transactions on Knowledge Discovery from Data (TKDD)
  • ACM Transactions on Intelligent Systems and Technology (TIST)
  • IEEE/ACM Transactions on Audio, Speech and Language Processing(TASLP)
  • ACM Transactions on Asian and Low-Resource Language Information Processing (TALRLIP)
Talks:
·25th AAAI Conference on Artificial Intelligence, San Francisco, California, USA, Aug 2011, Integrating Community Question and Answer Archives.
·LMS Seminar, Nation University of Singapore, 2011, Large-Scale Graph-based Ranking with Rich Metadata.
·Pinnacle Lab, Singapore Management University, 2014, Large-Scale Graph-based Ranking with Rich Metadata.
·Shandong University, 2017, Learning to Find Topic Experts.

魏巍科研項目

[1] 面向複雜對話場景建模的開放域可控人機對話系統關鍵技術研究，國家自然科學基金(面上), 2023-2026 [5] 
[2] 華科-平安產險人工智能聯合實驗室，2022-2025
[3] 基於專家經驗的可控對話系統，CCF-螞蟻基金，2022-2022
[3] 微博社交網絡中主題專家搜索關鍵技術研究,國家自然科學基金（青年）, 2017~2019 (主持,在研)
[3] 面向問答系統中開放式問題分析及答案融合方法的關鍵技術研究,湖北省自然科學青年基金，2015~2017 (主持, 在研)
[4] 中央高校基金，2016-2018 （主持，在研）
[5] 華中科技大學引進人才啓動基金，2015-2018 (主持, 在研)
[6] 基於傳感器網絡的目標跟蹤技術研究,國家863計劃 (項目編號：2007AA01Z309), 2007~2009 (參與,骨幹)

魏巍獎勵及證書

2021 華為“智能基座”-華為雲與計算先鋒教師 [2] 
2021 華中科技大學校級優秀班主任
2021 “華為獎教金”獲得者
2020 ICKG 2020 Best Student Paper Award
2017 第十批“3551光穀人才計劃”
2017 華中科技大學校級優秀班主任
2016 華中科技大學教師教學競賽二等獎
參考資料