Leader of Marketplace Intelligence and Data
Shopee
负责Shopee电商数仓建设，商家与运营数据产品建设，全链路流量数据，商品算法，包括商品发布、管控、信息优化、SPU库及其比价业务，营销算法，包括招商、选品、推荐算法，评价算法，用户画像，此外，还包括机器翻译，语音算法，图像算法，AIGC,实人认证, chatbot, AB平台等基础AI能力。
Adjunct Master Advisor, Fudan University, China
Adjunct Master Advisor, Soochow University, China
Research Interest
Natural Language Processing , Search, Recommendation,
E-commerce Intelligence, E-commerce Big Data
Education
Ph.D in Computer Science, National University of Singapore (NUS),
Advisors: Dr. Su Jian and Prof Tan Chew Lim
Bachelor in Computer Science, Harbin Institute of Technology (China)
Work Experience & Internship
Alibaba Group
work on data and AI, 05.2016-01.2021
Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR). Singapore
Lab Head, NLP Application, Baidu-I2R Research Center 04/2014-05/2016
Scientist II. Baidu-I2R Research Center; 04/2015-05/2016
Scientist I. 03/2013-04/2015
Microsoft Research Asia (MSRA), Beijing, China
Research Intern , working with Dr. Yunbo Cao and Dr. Chin-Yew Lin.
Awards
Institute Role Model Award 2014-2015Institute for Infocomm Research (I2R)
Excellent Performance 2015-2016; Institute for Infocomm Research (I2R)
Singapore MDA IJam Award，2015.Aug
Singapore MDA IJam Award，2015.Jan
Best New Staff Award, 2016 Alibaba
Best Project Award, 2016 Alibaba
Best Project Award，2017 Alibaba
Hangzhou City 521 Talent Award，2017 Hangzhou，China
Best New Lecturer Award，2017 Alibaba
Best Big Data Application Award （Alibaba Knowledge Graph), BDTC，2017
Best Data Platform Award，（Alibaba Knowledge Graph)，Alibaba data open day，2018
Tech Star Award， Alibaba CTO，2018
Best Academic Partner， Alibaba Tech Strategy Dept，2018
Zhe Jiang Province Top Talent Award，2019
Best Academic Project， Alibaba Tech Strategy Dept，2020
Best Intern Advisor， Alibaba Tech Strategy Dept，2020
Best IP Protector，Alibaba，2020
钱伟长科学技术一等奖，中文信息学会，2020
年度优秀作者, 电子工业出版社博文视点, 2021
News and Videos:
Ali KG Video at Ali YunQi Conference
Publications
42. Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen, DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning , WSDM 2022
40. 陈华钧, 张文, 黄志文, 叶橄强, 文博, 张伟. 大规模知识图谱预训练模型及电商应用. 大数据(2021).
39. N. Zhang, S. Deng, X Cheng, X Chen, Y Zhang, W Zhang, H.J. Chen, Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pre-training, (IJCAI 2021)
38. Ningyu Zhang, Shumin Deng, Wei Zhang,Huajun Chen. Robust Triple Extraction with Cascade Bidirectional Capsule Network. Expert Systems With Applications (IF=6.954). 2021
37. Yuxia Geng, Jiaoyan Chen, Zhiquan Ye, Zonggang Yuan, Wei Zhang and Huajun Chen . Explainable Zero-shot Learning via Attentive Graph Convolutional Network and Knowledge Graphs. Semantic Web Journal (SWJ)(IF=3.524) 2021.
36. W. Zhang, CM Wong, G Ye, Bo Wen, Wei Zhang, H.J. Chen, Billion-scale Pre-trained E-commerce Product Knowledge Graph Model,(ICDE 2021)
35. Dong Zhang, xincheng Ju , Wei Zhang, Junhui Li, Shoushan Li , Zhu Qiaoming , Zhou Guodong, Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing, (AAAI 2021)
32. Rongtao Huang, Bowei Zou, Yu Hong, Wei Zhang, AiTi Aw, Guodong Zhou, NUT-RC: Noisy User-generated Text-oriented Reading Comprehension, (CoLing 2020)
30. Yuxia Geng， Jiaoyan Chen，Zhiquan Ye，Wei Zhang，Huajun Chen，Zonggang Yuan，Explainable Zero-shot Learning via Attentive Graph Convolutional Network and Knowledge Graphs，Semantic Web Journal （SWJ）2020
29. Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai and Wei Zhang. Knowledge Association with Hyperbolic Knowledge Graph Embeddings. (EMNLP 2020)
28. Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei Zhang, YICHI ZHANG, Hao Kong and Suhui Wu. Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph. (EMNLP 2020)
27.Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang Yuzhong Qu, Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, （AAAI 2020）
26. Hao Nie, Xianpei Han, Le Sun, Chi Man Wong, Qiang Chen, Suhui Wu, Wei Zhang, Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment (IJCAI 2020)
25. Jiaojian Kang, Wen Zhang, Wei Zhang, Huajun Chen. Learning Rule Embeddings over Knowledge Graphs: A Case Study from E-Commerce Entity Alignment. TheWebConference. (WWW2020)
24. Ningyu Zhang,Shumin Deng, Wei Zhang, and Huajun Chen. Relation Adversarial Network for Low Resource Knowledge Graph Completion. TheWebConference. (WWW2020)
23. Zhengqiu He，Wenliang Chen ，Yuyi Wang ，Wei Zhang ，Guanchun Wang，Min Zhang，Improving Neural Relation Extraction with Positive and Unlabeled Learning，（AAAI 2020）
22. Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang and Huajun Chen,Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection, (WSDM 2020)
21.Wen Zhang, Shumin Deng, Han Wang, Qiang Chen, Wei Zhang and Huajun Chen XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce，（JIST 2019）
20. Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen and Huajun Chen. Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs. Conference on Empirical Methods in Natural Language Processing, (EMNLP2019 )
19. H. Nie, X. Han, L. Sun, B. Chen, W. Zhang, S. Wu and H. Kong, A Bidirectional Decomposable Attention Model for Structured Sequence-to-Sequence Entity Matching. (CIKM 2019)
18.Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang，Syntax-aware entity representations for neural relation extraction，Artificial Intelligence （AIJ 2019）
17.Xianpei Han,Le Sun,Bo Chen,Wei Zhang,Suhui Wu,Kao Kong, End-to-End Multi-Perspective Matching for Entity Resolution. IJCAI2019
16.Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang and Huajun Chen, Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. NAACL2019
15.Wen Zhang，Bibek Paudel， Liang Wang ， Jiaoyan Chen， Hai Zhu，Wei Zhang， Abraham Bernstein， Huajun Chen， Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. WWW2019
14.Min Fu, Qiang Chen, Wei Lin , Pei Wang & Wei Zhang, Constructing the Scene-Based Knowledge System for E-Commerce Industries: Business Analysis and Challenges. Data Intelligence Journal 2019
13.W. Zhang，B. Paudel, W. Zhang, A. Bernstein, H.J. Chen, Interaction Embeddings for Prediction and Explanation in Knowledge Graphs. WSDM 2019
12. Ningyu Zhang, Shumin Deng, Zhanlin Sun, Xi Chen, Wei Zhang, Huajun Chen, Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction, EMNLP 2018
11.G Wang, W Zhang, R Wang, Y Zhou, X Chen, W Zhang， H Zhu, and H Chen，Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding，EMNLP 2018
10.Y.S. Yang，M.S Zhang, W.L. CHEN, H.F Wang, W. Zhang, M. Zhang, Adversarial Learning for Chinese NER from Crowd Annotations， AAAI 2018
9. Z.Q. He, W.L. CHEN, M.S. Zhang, Z.H. Li, W. Zhang, M. Zhang,Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI 2018
8. Wei Zhang, Yunbo Cao, Chin Yew Lin, Jian Su and Chew-Lim Tan. Learning a Replacement Model for Query Segmentation With Consistency in Search Logs. International Joint Conference for Natural Language Processing (IJCNLP 2013).
7. Wei Zhang, Yunbo Cao, Chin Yew Lin, Jian Su and Chew Lim Tan. An Error Driven Approach to Query Segmentation. The World Wide Web Conference. WWW 2013
6. Wei Zhang, Jian Su, Chew Lim Tan, Yunbo Cao and Chin Yew Lin. A Lazy Learning Model for Entity Linking Using Query-Specific Information. 24rd International Conference on Computational Linguistics (COLING 2012).
5. Wei Zhang, Jian Su, Bin Chen, Wenting Wang, Zhiqiang Toh, Yanchuan Sim, Yunbo Cao, Chin Yew Lin and Chew Lim Tan. I2R-NUS-MSRA at TAC 2011: Entity Linking. Text Analysis Conference. Nov 14-15, 2011. Maryland. US. (2nd best accuracy among 21 teams)
4. Wei Zhang, Jian Su and Chew-Lim Tan. A Wikipedia-LDA Model for Entity Linking with Batch Size Changing Instance Selection. International Joint Conference for Natural Language Processing (IJCNLP 2011), Chiang Mai, Thailand, November 8-13, 2011.[PDF]
3. Wei Zhang, Yan Chuan Sim, Jian Su and Chew Lim Tan. Entity Linking with Effective Acronym Expansion, Instance Selection and Topic Modeling. International Joint Conferences on Artificial Intelligence 2011 (IJCAI 2011). Pages 1909-1904. Jul 16-22, 2011. Barcelona, Spain [PDF].
2. Wei Zhang, Yan Chuan Sim, Jian Su and Chew Lim Tan. NUS-I2R: Learning a Combined System for Entity Linking. Text Analysis Conference TAC2010. Nov 15-16, 2010. Maryland. US [PDF].
1. Wei Zhang, Jian Su, Chew Lim Tan and Wenting Wang. Entity Linking Leveraging Automatically Generated Annotation. 23rd International Conference on Computational Linguistics (COLING 2010), Pages 1290-1298, August 23-27, 2010, Beijing, China [PDF].
Activities：
Standing Reviewer of TACL
中文信息协会知识与语言计算专委会委员
Co-Chair CCKS 2018 Industry Track
Chair，YunQi Conference 17&18 KG Area
Area Chair of NLP App，ACL 2021
Area Chiar of PreTrain, AICon 2021
Chair of KG，DataFunTalk 2021
参与编写 知识图谱：方法、实践与应用(博文视点出品)
参与编写中文信息学会知识图谱发展报告 2018
Program Committee Member:
ACL2023, EMNLP2023, ACL 2021, ACL2020, NLPCC2019, NaACL-HLT2018, TALLIP18, LREC2018, NLPCC2018, NLPCC2017, CoLing 2016, EMNLP 2016, NLPCC2016, ACL 2015, ACL 2014, CoLing 2014, IJCAI 2013
陈华钧、张伟、余艳；面向商务大数据的知识图谱引擎关键技术研究；国家自然科学基金重大研究计划2019
Invited Talks:
GIAC 2020, 哈工大 2020，BDTC-2019，AIProCon-2019，CNCC2019，COLLNET 2019, WWW 2019 KG Workshop，YOCSEF KG 2018, AI-NextCon2018，CIIS2018，World AI conference 2018，CNCC2018，Tutorial at CCKS2018, BDTC-17, YUNQI 2017， CCKS 2017
