| 2026 | AAAI | LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs. | Xiaoran Liu, Yuerong Song, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Ziwei He, Xipeng Qiu |
| 2026 | AAAI | Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction. | Yuerong Song, Xiaoran Liu, Ruixiao Li, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Ziwei He, Xipeng Qiu |
| 2026 | AAAI | Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning. | Wenjie Yang, Shengzhong Zhang, Chen Ye, Jiaxing Guo, Tongshan Xu, Zengfeng Huang |
| 2025 | ACL | 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 |
| 2025 | COCOON | Optimal Framework for Clustering with Noisy Queries. | Jinghui Xia, Zengfeng Huang |
| 2025 | EMNLP | Retrieval-Augmented Language Models are Mimetic Theorem Provers. | Wenjie Yang, Ruiyuan Huang, Jiaxing Guo, Zicheng Lyu, Tongshan Xu, Shengzhong Zhang, Lun Du, Da Zheng, Zengfeng Huang |
| 2025 | ICLR | 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 |
| 2025 | ICLR | MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy. | Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf |
| 2025 | ICLR | Lipschitz Bandits in Optimal Space. | Xiaoyi Zhu, Zengfeng Huang |
| 2025 | ICML | High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions. | Ruiyuan Huang, Zengfeng Huang |
| 2025 | KDD | Your Graph Recommenders are Provably Doing Graph Contrastive Learning. | Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang |
| 2025 | STOC | Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models. | Zengfeng Huang, Zhongzheng Xiong, Xiaoyi Zhu, Zhewei Wei |
| 2024 | COCOON | The Communication Complexity of Distributed Maximization. | Yuxiang Tian, Xiaoyi Zhu, Zengfeng Huang |
| 2024 | ICASSP | Enhancing Performance of Coarsened Graphs with Gradient-Matching. | Wenjie Yang, Shengzhong Zhang, Zengfeng Huang |
| 2024 | ICLR | StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. | Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang |
| 2024 | KDD | Distributed Thresholded Counting with Limited Interaction. | Xiaoyi Zhu, Yuxiang Tian, Zengfeng Huang |
| 2023 | ICML | On Coresets for Clustering in Small Dimensional Euclidean spaces. | Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu |
| 2023 | VINCI | Visual Analytics for Phishing Scam Identification in Blockchain Transactions with Multiple Model Comparison. | Jiaqi Dong, Zishu Qin, Zhou Fang, Xuan Chen, Zengfeng Huang, Haoyun Guo, Richen Liu, Cagatay Turkay, Siming Chen |
| 2022 | ICLR | 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 |
| 2022 | ICML | Optimal Clustering with Noisy Queries via Multi-Armed Bandit. | Jinghui Xia, Zengfeng Huang |
| 2022 | WWW | Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy. | Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang |
| 2022 | SIGIR | 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 |
| 2021 | ICML | Graph Neural Networks Inspired by Classical Iterative Algorithms. | Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf |
| 2021 | KDD | Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. | Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King |
| 2021 | KDD | Scaling Up Graph Neural Networks Via Graph Coarsening. | Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou |
| 2021 | KDD | Learning Based Proximity Matrix Factorization for Node Embedding. | Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang |
| 2020 | EMNLP | PathQG: Neural Question Generation from Facts. | Siyuan Wang, Zhongyu Wei, Zhihao Fan, Zengfeng Huang, Weijian Sun, Qi Zhang, Xuanjing Huang |
| 2020 | EMNLP | 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 |
| 2020 | ICML | Simple and Deep Graph Convolutional Networks. | Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li |
| 2020 | IJCAI | Joint Representation Learning of Legislator and Legislation for Roll Call Prediction. | Yuqiao Yang, Xiaoqiang Lin, Geng Lin, Zengfeng Huang, Changjian Jiang, Zhongyu Wei |
| 2020 | KDD | Personalized PageRank to a Target Node, Revisited. | Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang |
| 2020 | KDD | SCE: Scalable Network Embedding from Sparsest Cut. | Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou |
| 2019 | ICDE | GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search. | Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang |
| 2018 | ICML | Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices. | Zengfeng Huang |
| 2017 | ICDE | Tracking Matrix Approximation over Distributed Sliding Windows. | Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin |
| 2017 | PODS | Efficient Matrix Sketching over Distributed Data. | Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang |
| 2016 | COCOON | Clairvoyant Mechanisms for Online Auctions. | Philipp Brandes, Zengfeng Huang, Hsin-Hao Su, Roger Wattenhofer |
| 2016 | ICALP | Dynamic Graph Stream Algorithms in o(n) Space. | Zengfeng Huang, Pan Peng |
| 2015 | STACS | Communication Complexity of Approximate Matching in Distributed Graphs. | Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang |
| 2014 | FOCS | The Communication Complexity of Distributed epsilon-Approximations. | Zengfeng Huang, Ke Yi |
| 2012 | PODS | Mergeable summaries. | Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi |
| 2012 | PODS | Randomized algorithms for tracking distributed count, frequencies, and ranks. | Zengfeng Huang, Ke Yi, Qin Zhang |
| 2011 | INFOCOM | Optimal sampling algorithms for frequency estimation in distributed data. | Zengfeng Huang, Ke Yi, Yunhao Liu, Guihai Chen |
| 2011 | SIGMOD | Sampling based algorithms for quantile computation in sensor networks. | Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu |