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2020 – today
- 2024
[j18]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): 1473-1486 (2024)- [j17]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): 2149-2161 (2024) - [j16]Yasong Feng
, Zengfeng Huang, Tianyu Wang:
Lipschitz Bandits With Batched Feedback. IEEE Trans. Inf. Theory 70(3): 2154-2176 (2024) - [j15]Jie Chen, Shouzhen Chen, Junbin Gao, Zengfeng Huang, Junping Zhang, Jian Pu:
Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13383-13396 (2024) - [c39]Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang:
Space Complexity of Euclidean Clustering. SoCG 2024: 82:1-82:16 - [c38]Wenjie Yang, Shengzhong Zhang, Zengfeng Huang:
Enhancing Performance of Coarsened Graphs with Gradient-Matching. ICASSP 2024: 5000-5004 - [c37]Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang:
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. ICLR 2024 - [c36]Xiaoyi Zhu, Yuxiang Tian, Zengfeng Huang:
Distributed Thresholded Counting with Limited Interaction. KDD 2024: 4664-4675 - [i39]Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang:
Space Complexity of Euclidean Clustering. CoRR abs/2403.02971 (2024) - [i38]Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li:
Optimal Matrix Sketching over Sliding Windows. CoRR abs/2405.07792 (2024) - [i37]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 abs/2407.04185 (2024) - [i36]Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang:
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning. CoRR abs/2407.17723 (2024) - [i35]Ruiyuan Huang, Zengfeng Huang:
High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions. CoRR abs/2410.04080 (2024) - 2023
- [j14]Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li:
Effective stabilized self-training on few-labeled graph data. Inf. Sci. 631: 369-384 (2023) - [j13]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): 96:1-96:26 (2023) - [j12]Hao Xiong, Junchi Yan, Zengfeng Huang:
Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. IEEE Trans. Knowl. Data Eng. 35(5): 5017-5034 (2023) - [c35]Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu:
On Coresets for Clustering in Small Dimensional Euclidean spaces. ICML 2023: 13891-13915 - [c34]Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang:
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy. NeurIPS 2023 - [c33]Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang:
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. NeurIPS 2023 - [c32]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: 17:1-17:9 - [i34]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 abs/2301.07482 (2023) - [i33]Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu:
On Coresets for Clustering in Small Dimensional Euclidean Spaces. CoRR abs/2302.13737 (2023) - [i32]Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang:
UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification. CoRR abs/2303.10371 (2023) - [i31]Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang:
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. CoRR abs/2310.18765 (2023) - [i30]Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang:
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy. CoRR abs/2311.00346 (2023) - [i29]Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang:
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. CoRR abs/2312.04865 (2023) - [i28]Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Divin Yan, Zengfeng Huang:
Understanding Community Bias Amplification in Graph Representation Learning. CoRR abs/2312.04883 (2023) - 2022
- [c31]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 - [c30]Jinghui Xia, Zengfeng Huang:
Optimal Clustering with Noisy Queries via Multi-Armed Bandit. ICML 2022: 24315-24331 - [c29]Yasong Feng, Zengfeng Huang, Tianyu Wang:
Lipschitz Bandits with Batched Feedback. NeurIPS 2022 - [c28]Yongyi Yang, Zengfeng Huang, David P. Wipf:
Transformers from an Optimization Perspective. NeurIPS 2022 - [c27]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: 2053-2058 - [c26]Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang:
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy. WWW 2022: 599-609 - [i27]Jie Chen, Shouzhen Chen, Zengfeng Huang, Junping Zhang, Jian Pu:
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily. CoRR abs/2203.11200 (2022) - [i26]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 abs/2204.09508 (2022) - [i25]Yongyi Yang, Zengfeng Huang, David Wipf:
Transformers from an Optimization Perspective. CoRR abs/2205.13891 (2022) - [i24]Jinghui Xia, Zengfeng Huang:
Optimal Clustering with Noisy Queries via Multi-Armed Bandit. CoRR abs/2207.05376 (2022) - [i23]Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao:
ASGNN: Graph Neural Networks with Adaptive Structure. CoRR abs/2210.01002 (2022) - 2021
- [j11]Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang:
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA. J. Mach. Learn. Res. 22: 80:1-80:38 (2021) - [j10]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): 51:1-51:31 (2021) - [c25]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: 11773-11783 - [c24]Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou:
Scaling Up Graph Neural Networks Via Graph Coarsening. KDD 2021: 675-684 - [c23]Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King:
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD 2021: 1975-1985 - [c22]Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang:
Learning Based Proximity Matrix Factorization for Node Embedding. KDD 2021: 2243-2253 - [c21]Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu:
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. NeurIPS 2021: 14239-14251 - [c20]Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang:
Understanding Bandits with Graph Feedback. NeurIPS 2021: 24659-24669 - [i22]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 abs/2103.06064 (2021) - [i21]Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang:
Understanding Bandits with Graph Feedback. CoRR abs/2105.14260 (2021) - [i20]Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou:
Scaling Up Graph Neural Networks Via Graph Coarsening. CoRR abs/2106.05150 (2021) - [i19]Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang:
Learning Based Proximity Matrix Factorization for Node Embedding. CoRR abs/2106.05476 (2021) - [i18]Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu:
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. CoRR abs/2106.10994 (2021) - [i17]Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King:
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR abs/2107.03767 (2021) - [i16]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 abs/2110.07190 (2021) - [i15]Yasong Feng, Zengfeng Huang, Tianyu Wang:
Batched Lipschitz Bandits. CoRR abs/2110.09722 (2021) - [i14]Yongyi Yang, Yangkun Wang, Zengfeng Huang, David Wipf:
Implicit vs Unfolded Graph Neural Networks. CoRR abs/2111.06592 (2021) - 2020
- [j9]Zengfeng Huang, Ke Yi, Qin Zhang:
Correction to: Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks. Algorithmica 82(11): 3413 (2020) - [j8]Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang:
Communication complexity of approximate maximum matching in the message-passing model. Distributed Comput. 33(6): 515-531 (2020) - [c19]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: 4705-4710 - [c18]Siyuan Wang, Zhongyu Wei, Zhihao Fan, Zengfeng Huang, Weijian Sun, Qi Zhang, Xuanjing Huang:
PathQG: Neural Question Generation from Facts. EMNLP (1) 2020: 9066-9075 - [c17]Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li:
Simple and Deep Graph Convolutional Networks. ICML 2020: 1725-1735 - [c16]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: 1424-1430 - [c15]Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou:
SCE: Scalable Network Embedding from Sparsest Cut. KDD 2020: 257-265 - [c14]Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang:
Personalized PageRank to a Target Node, Revisited. KDD 2020: 657-667 - [i13]Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang:
Personalized PageRank to a Target Node, Revisited. CoRR abs/2006.11876 (2020) - [i12]Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou:
SCE: Scalable Network Embedding from Sparsest Cut. CoRR abs/2006.16499 (2020) - [i11]Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li:
Simple and Deep Graph Convolutional Networks. CoRR abs/2007.02133 (2020) - [i10]Zhongzheng Xiong, Zengfeng Huang, Xiaojun Mao, Jian Wang, Shan Ying:
Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy. CoRR abs/2012.02081 (2020)
2010 – 2019
- 2019
- [j7]Zengfeng Huang, Pan Peng:
Dynamic Graph Stream Algorithms in o(n) Space. Algorithmica 81(5): 1965-1987 (2019) - [j6]Zengfeng Huang, Ke Yi, Qin Zhang:
Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks. Algorithmica 81(6): 2222-2243 (2019) - [j5]Zengfeng Huang:
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices. J. Mach. Learn. Res. 20: 56:1-56:23 (2019) - [c13]Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang:
GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search. ICDE 2019: 458-469 - [c12]Zengfeng Huang, Ziyue Huang, Yilei Wang, Ke Yi:
Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation. NeurIPS 2019: 6368-6378 - [i9]Ziang Zhou, Shenzhong Zhang, Zengfeng Huang:
Dynamic Self-training Framework for Graph Convolutional Networks. CoRR abs/1910.02684 (2019) - [i8]Songtao Liu, Lingwei Chen, Hanze Dong, Zihao Wang, Dinghao Wu, Zengfeng Huang:
Higher-order Weighted Graph Convolutional Networks. CoRR abs/1911.04129 (2019) - 2018
- [c11]Zengfeng Huang:
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices. ICML 2018: 2053-2062 - [i7]Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang:
GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search. CoRR abs/1809.00458 (2018) - [i6]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 abs/1810.11152 (2018) - 2017
- [j4]Zengfeng Huang, Ke Yi:
The Communication Complexity of Distributed epsilon-Approximations. SIAM J. Comput. 46(4): 1370-1394 (2017) - [j3]Xiang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Zengfeng Huang:
Top-k spatial-keyword publish/subscribe over sliding window. VLDB J. 26(3): 301-326 (2017) - [c10]Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin:
Tracking Matrix Approximation over Distributed Sliding Windows. ICDE 2017: 833-844 - [c9]Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang:
Efficient Matrix Sketching over Distributed Data. PODS 2017: 347-359 - [i5]Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang:
Communication complexity of approximate maximum matching in the message-passing model. CoRR abs/1704.08462 (2017) - 2016
- [j2]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): 588-599 (2016) - [c8]Philipp Brandes, Zengfeng Huang, Hsin-Hao Su, Roger Wattenhofer:
Clairvoyant Mechanisms for Online Auctions. COCOON 2016: 3-14 - [c7]Zengfeng Huang, Pan Peng:
Dynamic Graph Stream Algorithms in o(n) Space. ICALP 2016: 18:1-18:16 - [i4]Zengfeng Huang, Pan Peng:
Dynamic Graph Stream Algorithms in $o(n)$ Space. CoRR abs/1605.00089 (2016) - [i3]Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Zengfeng Huang:
Top-k Spatial-keyword Publish/Subscribe Over Sliding Window. CoRR abs/1611.03204 (2016) - 2015
- [c6]Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang:
Communication Complexity of Approximate Matching in Distributed Graphs. STACS 2015: 460-473 - 2014
- [c5]Zengfeng Huang, Ke Yi:
The Communication Complexity of Distributed epsilon-Approximations. FOCS 2014: 591-600 - [i2]Zengfeng Huang, Wai Ming Tai, Ke Yi:
Tracking the Frequency Moments at All Times. CoRR abs/1412.1763 (2014) - 2013
- [j1]Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi:
Mergeable summaries. ACM Trans. Database Syst. 38(4): 26 (2013) - 2012
- [c4]Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi:
Mergeable summaries. PODS 2012: 23-34 - [c3]Zengfeng Huang, Ke Yi, Qin Zhang:
Randomized algorithms for tracking distributed count, frequencies, and ranks. PODS 2012: 295-306 - 2011
- [c2]Zengfeng Huang, Ke Yi, Yunhao Liu, Guihai Chen:
Optimal sampling algorithms for frequency estimation in distributed data. INFOCOM 2011: 1997-2005 - [c1]Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu:
Sampling based algorithms for quantile computation in sensor networks. SIGMOD Conference 2011: 745-756 - [i1]Zengfeng Huang, Ke Yi, Qin Zhang:
Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks. CoRR abs/1108.3413 (2011)
Coauthor Index
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