Zengfeng Huang

According to our database, Zengfeng Huang authored at least 59 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Proc. VLDB Endow., February, 2024

Lipschitz Bandits With Batched Feedback.

Yasong Feng, Zengfeng Huang, Tianyu Wang

IEEE Trans. Inf. Theory, 2024

Space Complexity of Euclidean Clustering.

Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang

CoRR, 2024

2023

Learning Regularized Noise Contrastive Estimation for Robust Network Embedding.

Hao Xiong, Junchi Yan, Zengfeng Huang

IEEE Trans. Knowl. Data Eng., May, 2023

Efficient Tree-SVD for Subset Node Embedding over Large Dynamic Graphs.

Xinyu Du, Xingyi Zhang, Sibo Wang, Zengfeng Huang

Proc. ACM Manag. Data, 2023

Effective stabilized self-training on few-labeled graph data.

Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li

Inf. Sci., 2023

Understanding Community Bias Amplification in Graph Representation Learning.

Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Divin Yan, Zengfeng Huang

CoRR, 2023

StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning.

Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang

CoRR, 2023

UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification.

Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang

CoRR, 2023

ReFresh: Reducing Memory Access from Exploiting 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

CoRR, 2023

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

Proceedings of the 16th International Symposium on Visual Information Communication and Interaction, 2023

Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition.

Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adversarially Robust Distributed Count Tracking via Partial Differential Privacy.

Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Coresets for Clustering in Small Dimensional Euclidean spaces.

Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu

Proceedings of the International Conference on Machine Learning, 2023

2022

ASGNN: Graph Neural Networks with Adaptive Structure.

Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao

CoRR, 2022

Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily.

Jie Chen, Shouzhen Chen, Zengfeng Huang, Junping Zhang, Jian Pu

CoRR, 2022

Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy.

Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Transformers from an Optimization Perspective.

Yongyi Yang, Zengfeng Huang, David P. Wipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimal Clustering with Noisy Queries via Multi-Armed Bandit.

Jinghui Xia, Zengfeng Huang

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Efficient and High-Quality Seeded Graph Matching: Employing Higher-order Structural Information.

Haida Zhang, Zengfeng Huang, Xuemin Lin, Zhe Lin, Wenjie Zhang, Ying Zhang

ACM Trans. Knowl. Discov. Data, 2021

Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA.

Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang

J. Mach. Learn. Res., 2021

Implicit vs Unfolded Graph Neural Networks.

Yongyi Yang, Yangkun Wang, Zengfeng Huang, David Wipf

CoRR, 2021

Batched Lipschitz Bandits.

Yasong Feng, Zengfeng Huang, Tianyu Wang

CoRR, 2021

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation.

Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding Bandits with Graph Feedback.

Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Based Proximity Matrix Factorization for Node Embedding.

Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Scaling Up Graph Neural Networks Via Graph Coarsening.

Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space.

Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Communication complexity of approximate maximum matching in the message-passing model.

Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang

Distributed Comput., 2020

Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy.

Zhongzheng Xiong, Zengfeng Huang, Xiaojun Mao, Jian Wang, Shan Ying

CoRR, 2020

Correction to: Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks.

Zengfeng Huang, Ke Yi, Qin Zhang

Algorithmica, 2020

SCE: Scalable Network Embedding from Sparsest Cut.

Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Personalized PageRank to a Target Node, Revisited.

Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Joint Representation Learning of Legislator and Legislation for Roll Call Prediction.

Yuqiao Yang, Xiaoqiang Lin, Geng Lin, Zengfeng Huang, Changjian Jiang, Zhongyu Wei

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Simple and Deep Graph Convolutional Networks.

Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li

Proceedings of the 37th International Conference on Machine Learning, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

PathQG: Neural Question Generation from Facts.

Siyuan Wang, Zhongyu Wei, Zhihao Fan, Zengfeng Huang, Weijian Sun, Qi Zhang, Xuanjing Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices.

Zengfeng Huang

J. Mach. Learn. Res., 2019

Higher-order Weighted Graph Convolutional Networks.

Songtao Liu, Lingwei Chen, Hanze Dong, Zihao Wang, Dinghao Wu, Zengfeng Huang

CoRR, 2019

Dynamic Self-training Framework for Graph Convolutional Networks.

Ziang Zhou, Shenzhong Zhang, Zengfeng Huang

CoRR, 2019

Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks.

Zengfeng Huang, Ke Yi, Qin Zhang

Algorithmica, 2019

Dynamic Graph Stream Algorithms in o(n) Space.

Zengfeng Huang, Pan Peng

Algorithmica, 2019

Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation.

Zengfeng Huang, Ziyue Huang, Yilei Wang, Ke Yi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search.

Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Efficient and High-Quality Seeded Graph Matching: Employing High Order Structural Information.

Haida Zhang, Zengfeng Huang, Xuemin Lin, Zhe Lin, Wenjie Zhang, Ying Zhang

CoRR, 2018

2017

Top-k spatial-keyword publish/subscribe over sliding window.

Xiang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Zengfeng Huang

VLDB J., 2017

The Communication Complexity of Distributed epsilon-Approximations.

Zengfeng Huang, Ke Yi

SIAM J. Comput., 2017

Efficient Matrix Sketching over Distributed Data.

Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang

Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2017

Tracking Matrix Approximation over Distributed Sliding Windows.

Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

SKYPE: Top-k Spatial-keyword Publish/Subscribe Over Sliding Window.

Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Zengfeng Huang

Proc. VLDB Endow., 2016

Clairvoyant Mechanisms for Online Auctions.

Philipp Brandes, Zengfeng Huang, Hsin-Hao Su, Roger Wattenhofer

Proceedings of the Computing and Combinatorics - 22nd International Conference, 2016

2015

Communication Complexity of Approximate Matching in Distributed Graphs.

Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang

Proceedings of the 32nd International Symposium on Theoretical Aspects of Computer Science, 2015

2014

Tracking the Frequency Moments at All Times.

Zengfeng Huang, Wai Ming Tai, Ke Yi

CoRR, 2014

2013

Mergeable summaries.

Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi

ACM Trans. Database Syst., 2013

2011

Sampling based algorithms for quantile computation in sensor networks.

Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Optimal sampling algorithms for frequency estimation in distributed data.

Zengfeng Huang, Ke Yi, Yunhao Liu, Guihai Chen

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011