Fuzheng Zhang ()

Technical Leader in Meituan
Office: Block B, Hengdian Building, No.4, Wangjing East Road, Beijing
Email: zhfzhkris AT outlook DOT com
Google Scholar


Bio

    Dr. Fuzheng Zhang is now a technical leader in Meituan. He is leading a team focus on AI technologies such as knowledge graph, NLP, and information retrieval. Dr. Zhang and his team are currently engaged in building Meituan Brain, the largest knowledge graph of local services in the world, which is aimed at building knowledge associations between users, merchants, goods, and scenarios. Before this, Dr. Zhang was a researcher in Microsoft Research Asia. He obtained his Ph.D. degree in computer science, and is supervised jointly by University of Science and Technology of China and Microsoft Research Asia.
    Dr. Zhang has published many top-tier international conference papers and journal articles in his research area, such as KDD, WWW, AAAI, and IJCAI. He has received the best paper award in ICDM2013 and CIKM2020. Dr. Zhang is also active in academic activities. For example, he served as the industry chair in ASONAM2018 and has long served as the reviewers on top-tier international conferences and journals, such as KDD, WWW, and TKDE.

Education

Work Experience

Selected Talks

Selected Publications

2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer.
Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu.
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL 2021)
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval.
Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu.
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL 2021)
TITA: A Two-stage Interaction and Topic-Aware Text Matching Model.
Xingwu Sun, Yanling Cui, Hongyin Tang, Qiuyu Zhu, Fuzheng Zhang, Beihong Jin.
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021)
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction.
Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang, Jingang Wang, Fuzheng Zhang, Wei Wu.
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021)
A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking.
Xingwu Sun, Hongyin Tang, Yanling Cui, Beihong Jin, Fuzheng Zhang.
The 35nd AAAI Conference on Artificial Intelligence (AAAI 2021)
2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen.
The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)
Multi-modal Knowledge Graphs for Recommender Systems.
Sun Rui, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang, Kai Zheng.
The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)
Leveraging Historical Interaction Data for Improving Conversational Recommender System.
Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen.
The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)
Query-aware Tip Generation for Vertical Search.
Yang Yang, Junmei Hao , Canjia Li, Zili Wang, Jingang Wang, Fuzheng Zhang, Rao Fu, Peixu Hou, Gong Zhang, and Zhongyuan Wang.
The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)
TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document Retrieval.
Xingwu Sun, Hongyin Tang, Fuzheng Zhang, Yanling Cui, Beihong Jin, Zhongyuan Wang.
The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)
Logical Structure Representation Learning with Graph Embedding for Personalized Product Search.
Shang Liu, Wanli Gu, Gao Cong, Fuzheng Zhang.
The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)
STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation.
Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Hongwei Wang, Enhong Chen, Jianhui Ma, and Qi Liu.
The 20th IEEE International Conference on Data Mining (ICDM 2020)
Unsupervised Loss Correction for Weakly Supervised MRC.
Xuemiao Zhang, Kun Zhou,Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Junfei Liu.
The 28th International Conference on Computational Linguistics (COLING 2020)
Table Fact Verification with Structure-Aware Transformer.
Hongzhi Zhang, Yingyao Wang, Sirui Wang,Xuezhi Cao, Fuzheng Zhang, Zhongyuan Wang.
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
Learning Graph Representation with Generative Adversarial Nets.
Hongwei Wang, Jialin Wang, Jia Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Wenjie Li, Xing Xie, Minyi Guo.
IEEE Transactions on Knowledge and Data Engineering (TKDE)
Sequential Recommendation via Cross-domain Novelty Seeking Trait Mining.
Fuzhen Zhuang, Yingmin Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong.
Journal of Computer Science and Technology (JCST)
2019
Earlier Attention? Aspect-Aware LSTM for Aspect Sentiment Analysis.
Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang.
The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems.
Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo.
ACM Transactions on Information Systems (TOIS)
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems.
Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019)
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation.
Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo.
The Web Conference (WWW 2019)
2018
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo.
ACM Conference on Information and Knowledge Management (CIKM 2018)
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.
Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun.
The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018)
Transcribing Content from Structural Images with Spotlight Mechanism.
Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie and Guoping Hu.
The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018)
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach.
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun.
The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI 2018)
Sequential Recommender System based on Hierarchical Attention Networks.
Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu.
The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI 2018)
DRN: A Deep Reinforcement Learning Framework for News Recommendation.
Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie and Zhenhui Jessie Li.
The 27th International World Wide Web Conference (WWW 2018)
DKN: Deep Knowledge-Aware Network for News Recommendation.
Hongwei Wang, Fuzheng Zhang, Xing Xie and Minyi Guo.
The 27th International World Wide Web Conference (WWW 2018)
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu.
International Conference on Web Search and Data Mining (WSDM 2018)
GraphGAN: Graph Representation Learning with Generative Adversarial Nets.
Hongwei Wang, jia Wang, jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xie Xing, Minyi Guo.
The 32nd AAAI Conference on Artificial Intelligence (AAAI 2018)
Scalable Content-Aware Collaborative Filtering for Location Recommendation.
Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui.
IEEE Transactions on Knowledge and Data Engineering (TKDE)
2017
Beyond the Words: Predicting User Personality from Heterogeneous Information.
Honghao Wei, Fuzheng Zhang, Nicholas Jing Yuan, Chuan Cao, Hao Fu, Xing Xie, Yong Rui.
The 10th ACM International Conference on Web Search and Data Mining (WSDM 2017)
Restaurant Survival Analysis with Heterogeneous Information.
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun.
The 26th International World Wide Web Conference (WWW 2017)
CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems (Poster).
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun.
The 26th International World Wide Web Conference (WWW 2017)
Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation (Poster).
Fuzhen Zhuang, Zhou Yingmin, Fuzheng Zhang, Xiang Ao, Xing Xie and Qing He.
The 26th International World Wide Web Conference (WWW 2017)
2016
Collaborative Knowledge Base Embedding for Recommender Systems.
Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma.
The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016)
Exploiting Dining Preference for Restaurant Recommendation.
Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui.
The 25th International World Wide Web Conference (WWW 2016)
A Contextual Collaborative Approach for App Usage Forecasting.
Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Fuzheng Zhang, Xing Xie, Enhong Chen.
2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp 2016)
Who Will Reply to/Retweet This Tweet?: The Dynamics of Intimacy from Online Social Interactions.
Nicholas Jing Yuan, Yuan Zhong, Fuzheng Zhang, Xing Xie, Chin-Yew Lin, Yong Rui.
The 9th ACM International Conference on Web Search and Data Mining (WSDM 2016)
Geo-social media data analytic for user modeling and location-based services.
Jie Bao, Defu Lian, Fuzheng Zhang, Nicholas Jing Yuan.
SIGSPATIAL Special, 3(7), 2016
2015
Mining Consumer Impulsivity from Offline and Online Behavior.
Fuzheng Zhang, Nicholas Jing Yuan, Kevin Zheng, Defu Lian, Xing Xie and Yong Rui.
2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp 2015)
A Novelty-Seeking based Dining Recommender System.
Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou.
The 24th International World Wide Web Conference (WWW 2015)
You Are Where You Go: Inferring Demographic Attributes from Location Check-ins.
Yuan Zhong, Nicholas Jing Yuan, Wen Zhong, Fuzheng Zhang, Xing Xie.
The 8th ACM International Conference on Web Search and Data Mining (WSDM 2015)
Content-Aware Collaborative Filtering for Location Recommendation based on Human Mobility Data.
Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Yuan, Xing Xie, Tao Zhou, Yong Rui.
The 15th IEEE International Conference on Data Mining (ICDM 2015)
Mining Location-based Social Networks: A Predictive Perspective.
Defu Lian, Xing Xie, Fuzheng Zhang, Nicholas J. Yuan, Tao Zhou, Yong Rui.
IEEE Data Engineering Bulletin, Vol. 38, No. 2, Jun. 2015, p35-46
2014
Mining Novelty Seeking Trait across Heterogeneous Domains.
Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie.
International World Wide Web Conference (WWW 2014)
Reconstructing Individual Mobility from Smart Card Transactions: A Collaborative Space Alignment Approach.
Fuzheng Zhang, Nicholas Jing Yuan, Yingzi Wang, Xing Xie.
Knowledge and Information Systems (KAIS)
Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility.
Fuzheng Zhang, Nicholas Jing Yuan, David Wilkie, Yu Zheng, Xing Xie.
ACM Transactions on Intelligent Systems and Technology (TIST)
CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction.
Defu Lian, Xing Xie, Vincent W. Zheng, Nicholas Jing Yuan, Fuzheng Zhang, Enhong Chen.
ACM Transactions on Intelligent Systems and Technology (TIST)
2013
Sensing the Pulse of Urban Refueling Behavior.
Fuzheng Zhang, David Wilkie, Yu Zheng, Xing Xie.
2013 ACM International Conference on Pervasive and Ubiquitous Computing (Ubicomp 2013)
We Know How You Live: Exploring the Spectrum of Urban Lifestyles.
Nicholas Jing Yuan, Fuzheng Zhang, Defu Lian, Kai Zheng, Siyu Yu, Xing Xie.
ACM Conference on Online Social Networks (COSN 2013)
Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach.
Nicholas Jing Yuan, Yingzi Wang, Fuzheng Zhang, Xing Xie, and Guangzhong Sun.
IEEE International Conference on Data Mining (ICDM 2013, Best Paper Award)