Zengfeng Huang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 85

Top Topics

Dimensional Euclidean Space

Randomized Algorithms

Top Venues

Publications

Wenjie Yang, Shengzhong Zhang, Zengfeng Huang
Enhancing Performance of Coarsened Graphs with Gradient-Matching. ICASSP (2024)
Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li
Optimal Matrix Sketching over Sliding Windows. CoRR (2024)
Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training. Proc. VLDB Endow. 17 (6) (2024)
Xiaoyi Zhu, Yuxiang Tian, Zengfeng Huang
Distributed Thresholded Counting with Limited Interaction. KDD (2024)
Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning. CoRR (2024)
Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. ICLR (2024)
Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang
Space Complexity of Euclidean Clustering. SoCG (2024)
Yasong Feng, Zengfeng Huang, Tianyu Wang
Lipschitz Bandits With Batched Feedback. IEEE Trans. Inf. Theory 70 (3) (2024)
Shujun Liu, Xiaoyu Shen, Yuhang Lai, Siyuan Wang, Shengbin Yue, Zengfeng Huang, Xuanjing Huang, Zhongyu Wei
HAF-RM: A Hybrid Alignment Framework for Reward Model Training. CoRR (2024)
Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li
Optimal Matrix Sketching over Sliding Windows. Proc. VLDB Endow. 17 (9) (2024)
Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang
Space Complexity of Euclidean Clustering. CoRR (2024)
Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu
On Coresets for Clustering in Small Dimensional Euclidean Spaces. CoRR (2023)
Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang
UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification. CoRR (2023)
Hao Xiong, Junchi Yan, Zengfeng Huang
Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Xinyu Du, Xingyi Zhang, Sibo Wang, Zengfeng Huang
Efficient Tree-SVD for Subset Node Embedding over Large Dynamic Graphs. Proc. ACM Manag. Data 1 (1) (2023)
Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li
Effective stabilized self-training on few-labeled graph data. Inf. Sci. 631 (2023)
Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. CoRR (2023)
Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu
On Coresets for Clustering in Small Dimensional Euclidean spaces. ICML (2023)
Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Divin Yan, Zengfeng Huang
Understanding Community Bias Amplification in Graph Representation Learning. CoRR (2023)
Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. NeurIPS (2023)
Jiaqi Dong, Zishu Qin, Zhou Fang, Xuan Chen, Zengfeng Huang, Haoyun Guo, Richen Liu, Cagatay Turkay, Siming Chen
Visual Analytics for Phishing Scam Identification in Blockchain Transactions with Multiple Model Comparison. VINCI (2023)
Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy. NeurIPS (2023)
Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy. CoRR (2023)
Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. CoRR (2023)
Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training. CoRR (2023)
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
Why Propagate Alone? Parallel Use of Labels and Features on Graphs. ICLR (2022)
Jie Chen, Shouzhen Chen, Zengfeng Huang, Junping Zhang, Jian Pu
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily. CoRR (2022)
Yongyi Yang, Zengfeng Huang, David Wipf
Transformers from an Optimization Perspective. CoRR (2022)
Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR (2022)
Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao
ASGNN: Graph Neural Networks with Adaptive Structure. CoRR (2022)
Jinghui Xia, Zengfeng Huang
Optimal Clustering with Noisy Queries via Multi-Armed Bandit. CoRR (2022)
Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy. WWW (2022)
Yasong Feng, Zengfeng Huang, Tianyu Wang
Lipschitz Bandits with Batched Feedback. NeurIPS (2022)
Yongyi Yang, Zengfeng Huang, David P. Wipf
Transformers from an Optimization Perspective. NeurIPS (2022)
Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR (2022)
Jinghui Xia, Zengfeng Huang
Optimal Clustering with Noisy Queries via Multi-Armed Bandit. ICML (2022)
Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang
Learning Based Proximity Matrix Factorization for Node Embedding. CoRR (2021)
Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang
Learning Based Proximity Matrix Factorization for Node Embedding. KDD (2021)
Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. CoRR (2021)
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
Why Propagate Alone? Parallel Use of Labels and Features on Graphs. CoRR (2021)
Yasong Feng, Zengfeng Huang, Tianyu Wang
Batched Lipschitz Bandits. CoRR (2021)
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
Graph Neural Networks Inspired by Classical Iterative Algorithms. ICML (2021)
Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. NeurIPS (2021)
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD (2021)
Yongyi Yang, Yangkun Wang, Zengfeng Huang, David Wipf
Implicit vs Unfolded Graph Neural Networks. CoRR (2021)
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR (2021)
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
Graph Neural Networks Inspired by Classical Iterative Algorithms. CoRR (2021)
Haida Zhang, Zengfeng Huang, Xuemin Lin, Zhe Lin, Wenjie Zhang, Ying Zhang
Efficient and High-Quality Seeded Graph Matching: Employing Higher-order Structural Information. ACM Trans. Knowl. Discov. Data 15 (3) (2021)
Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
Scaling Up Graph Neural Networks Via Graph Coarsening. KDD (2021)
Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
Scaling Up Graph Neural Networks Via Graph Coarsening. CoRR (2021)
Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang
Understanding Bandits with Graph Feedback. CoRR (2021)
Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA. J. Mach. Learn. Res. 22 (2021)
Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang
Understanding Bandits with Graph Feedback. NeurIPS (2021)
Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang
Communication complexity of approximate maximum matching in the message-passing model. Distributed Comput. 33 (6) (2020)
Yuqiao Yang, Xiaoqiang Lin, Geng Lin, Zengfeng Huang, Changjian Jiang, Zhongyu Wei
Joint Representation Learning of Legislator and Legislation for Roll Call Prediction. IJCAI (2020)
Zhongzheng Xiong, Zengfeng Huang, Xiaojun Mao, Jian Wang, Shan Ying
Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy. CoRR (2020)
Yanjian Zhang, Qin Chen, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang, Weijian Sun, Xuanjing Huang
Automatic Term Name Generation for Gene Ontology: Task and Dataset. EMNLP (Findings) (2020)
Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang
Personalized PageRank to a Target Node, Revisited. KDD (2020)
Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
Simple and Deep Graph Convolutional Networks. CoRR (2020)
Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
Simple and Deep Graph Convolutional Networks. ICML (2020)
Siyuan Wang, Zhongyu Wei, Zhihao Fan, Zengfeng Huang, Weijian Sun, Qi Zhang, Xuanjing Huang
PathQG: Neural Question Generation from Facts. EMNLP (1) (2020)
Zengfeng Huang, Ke Yi, Qin Zhang
Correction to: Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks. Algorithmica 82 (11) (2020)
Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou
SCE: Scalable Network Embedding from Sparsest Cut. CoRR (2020)
Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou
SCE: Scalable Network Embedding from Sparsest Cut. KDD (2020)
Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang
Personalized PageRank to a Target Node, Revisited. CoRR (2020)
Songtao Liu, Lingwei Chen, Hanze Dong, Zihao Wang, Dinghao Wu, Zengfeng Huang
Higher-order Weighted Graph Convolutional Networks. CoRR (2019)
Zengfeng Huang
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices. J. Mach. Learn. Res. 20 (2019)
Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang
GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search. ICDE (2019)
Zengfeng Huang, Ziyue Huang, Yilei Wang, Ke Yi
Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation. NeurIPS (2019)
Zengfeng Huang, Pan Peng
Dynamic Graph Stream Algorithms in o(n) Space. Algorithmica 81 (5) (2019)
Zengfeng Huang, Ke Yi, Qin Zhang
Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks. Algorithmica 81 (6) (2019)
Ziang Zhou, Shenzhong Zhang, Zengfeng Huang
Dynamic Self-training Framework for Graph Convolutional Networks. CoRR (2019)
Haida Zhang, Zengfeng Huang, Xuemin Lin, Zhe Lin, Wenjie Zhang, Ying Zhang
Efficient and High-Quality Seeded Graph Matching: Employing High Order Structural Information. CoRR (2018)
Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang
GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search. CoRR (2018)
Zengfeng Huang
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices. ICML (2018)
Zengfeng Huang, Ke Yi
The Communication Complexity of Distributed epsilon-Approximations. SIAM J. Comput. 46 (4) (2017)
Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang
Efficient Matrix Sketching over Distributed Data. PODS (2017)
Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang
Communication complexity of approximate maximum matching in the message-passing model. CoRR (2017)
Xiang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Zengfeng Huang
Top-k spatial-keyword publish/subscribe over sliding window. VLDB J. 26 (3) (2017)
Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin
Tracking Matrix Approximation over Distributed Sliding Windows. ICDE (2017)
Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Zengfeng Huang
SKYPE: Top-k Spatial-keyword Publish/Subscribe Over Sliding Window. Proc. VLDB Endow. 9 (7) (2016)
Zengfeng Huang, Pan Peng
Dynamic Graph Stream Algorithms in o(n) Space. ICALP (2016)
Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Zengfeng Huang
Top-k Spatial-keyword Publish/Subscribe Over Sliding Window. CoRR (2016)
Zengfeng Huang, Pan Peng
Dynamic Graph Stream Algorithms in $o(n)$ Space. CoRR (2016)
Philipp Brandes, Zengfeng Huang, Hsin-Hao Su, Roger Wattenhofer
Clairvoyant Mechanisms for Online Auctions. COCOON (2016)
Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang
Communication Complexity of Approximate Matching in Distributed Graphs. STACS (2015)
Zengfeng Huang, Wai Ming Tai, Ke Yi
Tracking the Frequency Moments at All Times. CoRR (2014)
Zengfeng Huang, Ke Yi
The Communication Complexity of Distributed epsilon-Approximations. FOCS (2014)
Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi
Mergeable summaries. ACM Trans. Database Syst. 38 (4) (2013)
Zengfeng Huang, Ke Yi, Qin Zhang
Randomized algorithms for tracking distributed count, frequencies, and ranks. PODS (2012)
Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi
Mergeable summaries. PODS (2012)
Zengfeng Huang, Ke Yi, Qin Zhang
Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks CoRR (2011)
Zengfeng Huang, Ke Yi, Yunhao Liu, Guihai Chen
Optimal sampling algorithms for frequency estimation in distributed data. INFOCOM (2011)
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu
Sampling based algorithms for quantile computation in sensor networks. SIGMOD Conference (2011)