Zengfeng Huang Professor School of Data Science, Fudan University, Shanghai Email: huangzf@fudan.edu.cn

About Me

Research Interests

Selected Awards

• ICML 2018 Best Paper Runner Up Award.
• PODS 2022 Alberto. O. Mendelzon Test-of-Time Award.
• WAIC 2020 Youth Outstanding Paper Award Honorable Mention.
• WAIC 2023 Youth Outstanding Paper Award Honorable Mention.
• VLDB 2024 Best Paper Candidate.

Openings (Drop me an email if you are interested)

• I am looking for self-motivated students. Candidates with strong background in math or programming are especially welcome.


• Postdoc positions are also available.

Conference Publications

• Your Graph Recommenders are Provably Doing Graph Contrastive Learning
  Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang
  KDD 2025 

• HAF-RM: A Hybrid Alignment Framework for Reward Model Training
  Shujun Liu, Xiaoyu Shen, Yuhang Lai, Siyuan Wang, Shengbin Yue, Zengfeng Huang, Xuanjing Huang, Zhongyu Wei
  ACL 2025 

• High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions
  Ruiyuan Huang, Zengfeng Huang
  ICML 2025 

• Optimal Framework for Clustering with Noisy Queries
  Jinghui Xia, Zengfeng Huang
  COCOON 2025 

• Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models
  Zengfeng Huang, Zhongzheng Xiong, Xiaoyi Zhu, Zhewei Wei
  STOC 2025 

• Lipschitz Bandits in Optimal Space
  Xiaoyi Zhu, Zengfeng Huang
  ICLR 2025 

• Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
  Haitian Jiang, Renjie Liu, Zengfeng Huang, Xiao Yan, Yichuan Wang, Zhenkun Cai, Minjie Wang, David Wipf
  ICLR 2025 

• TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
  Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang
  ICLR 2025 

• The Communication Complexity of Distributed Maximization
  Xiaoyi Zhu, Yuxiang Tian, Zengfeng Huang
  COCOON 2024 

• Distributed Thresholded Counting with Limited Interaction
  Xiaoyi Zhu, Yuxiang Tian, Zengfeng Huang
  KDD 2024 

• Enhancing Performance of Coarsened Graphs with Gradient-matching
  Wenjie Yang, Shengzhong Zhang, Zengfeng Huang
  ICASSP 2024 

• Space Complexity of Euclidean Clustering
  Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang
  SoCG 2024 

• StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
  Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang
  ICLR 2024 

• Optimal Matrix Sketching over Sliding Windows (Best Paper Candidate Award)
  Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li
  VLDB 2024 

• FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
  Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
  VLDB 2024 

• Adversarially Robust Distributed Count Tracking via Partial Differential Privacy
  Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang
  NeurIPS 2023 

• Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
  Liang Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang
  NeurIPS 2023 

• On Coresets for Clustering in Small Dimensional Euclidean Spaces
  Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu
  ICML 2023 

• Efficient Tree-SVD for Subset Node Embedding over Large Dynamic Graphs
  Xinyu Du, Xingyi Zhang, Sibo Wang, Zengfeng Huang
  SIGMOD 2023 

• Transformers from an Optimization Perspective
  Yongyi Yang, Zengfeng Huang, David Wipf.
  NeurIPS 2022 

• Lipschitz Bandits with Batched Feedback
  Yasong Feng, Zengfeng Huang, Tianyu Wang.
  NeurIPS 2022 

• Optimal Clustering with Noisy Queries via Multi-Armed Bandit
  Jinghui Xia, Zengfeng Huang.
  ICML 2022 

• BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction
  Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang.
  SIGIR 2022 (short) 

• Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy
  Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Ying Shan, Zengfeng Huang.
  The Web Conference (WWW 2022) 

• Why Propagate Alone? Parallel Use of Labels and Features on Graphs
  Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf.
  ICLR 2022 

• Understanding Bandits with Graph Feedback
  Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang.
  NeurIPS 2021 

• BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
  Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu.
  NeurIPS 2021 

• Graph Neural Networks Inspired by Classical Iterative Algorithms
  (Selected for long talk 3% acceptance rate)
  Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf.
  ICML 2021 

• Scaling Up Graph Neural Networks Via Graph Coarsening.
  Zengfeng Huang, Shenzhong Zhang, Chong Xi, Tang Liu, Min Zhou.
  KDD 2021 

• Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning.
  Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King.
  KDD 2021 

• Learning Based Proximity Matrix Factorization for Node Embedding.
  Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang.
  KDD 2021 

• PathQG: Neural Question Generation from Facts
  Siyuan Wang, Zhongyu Wei, Zhihao Fan, Zengfeng Huang, Weijian Sun, Qi Zhang, Xuanjing Huang.
  EMNLP 2020  

• Automatic Term Name Generation for Gene Ontology: Task and Dataset
  Yanjian Zhang, Qin Chen, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang, Weijian Sun, Xuanjing Huang.
  EMNLP 2020 (Findings) 

• Simple and Deep Graph Convolutional Networks
  Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li.
  ICML 2020 

• SCE: Scalable Network Embedding from Sparsest Cut.
  Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou
  KDD 2020 

• Personalized PageRank to a Target Node, Revisited.
  Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang
  KDD 2020 

• Joint Representation Learning of Legislator and Legislation for Roll Call Prediction
  Yuqiao Yang#, Xiaoqiang Lin#, Geng Lin, Zengfeng Huang, Changjian Jiang and Zhongyu Wei
  IJCAI 2020 

• Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation
  Zengfeng Huang, Ziyue Huang, Yilei Wang, and Ke Yi
  Conference on Neural Information Processing Systems (NeurIPS 19) 

• Understanding Graph Neural Networks via Trajectory Analysis
  Ziqiao Meng, Jin Dong, Zengfeng Huang, Irwin King
  NeurIPS 2019 Graph Representation Learning Workshop 

• GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search
  Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang
  IEEE International Conference on Data Engineering (ICDE 19)