Zengfeng Huang

134 papers A* 40A 1C 1Misc 2Journal 82Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-level graph contrastive learning for community value prediction. Neural Networks Wenjie Yang, Shengzhong Zhang, Zengfeng Huang
2026	J	`jnl`	Few Batches or Little Memory, But Not Both: Simultaneous Space and Adaptivity Constraints in Stochastic Bandits. CoRR Ruiyuan Huang, Zicheng Lyu, Xiaoyi Zhu, Zengfeng Huang
2026	J	`jnl`	FourierSampler: Unlocking Non-Autoregressive Potential in Diffusion Language Models via Frequency-Guided Generation. CoRR Siyang He, Qiqi Wang, Xiaoran Liu, Hongnan Ma, Yiwei Shi, Yuerong Song, Ying Zhu, Tianyi Liang, Zengfeng Huang, Ziwei He, Xipeng Qiu
2026	A*	`conf`	Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning. AAAI Wenjie Yang, Shengzhong Zhang, Chen Ye, Jiaxing Guo, Tongshan Xu, Zengfeng Huang
2026	A*	`conf`	LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs. AAAI Xiaoran Liu, Yuerong Song, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Ziwei He, Xipeng Qiu
2026	J	`jnl`	MOVA: Towards Scalable and Synchronized Video-Audio Generation. CoRR Donghua Yu, Mingshu Chen, Qi Chen, Qi Luo, Qianyi Wu, Qinyuan Cheng, Ruixiao Li, Tianyi Liang, Wenbo Zhang, Wenming Tu, Xiangyu Peng, Yang Gao, Yanru Huo, Ying Zhu, Yinze Luo, Yiyang Zhang, Yuerong Song, Zhe Xu, Zhiyu Zhang, Chenchen Yang, Cheng Chang, Chushu Zhou, Hanfu Chen, Hongnan Ma, Jiaxi Li, Jingqi Tong, Junxi Liu, Ke Chen, Shimin Li, Shiqi Jiang, Songlin Wang, Wei Jiang, Zhaoye Fei, Zhiyuan Ning, Chunguo Li, Chenhui Li, Ziwei He, Zengfeng Huang, Xie Chen, Xipeng Qiu
2026	J	`jnl`	SimpleTool: Parallel Decoding for Real-Time LLM Function Calling. CoRR Xiaoxin Shi, Jiaxin Wan, Linkang Dong, Wei Jiang, Yue Liu, Zengfeng Huang
2026	A*	`conf`	Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction. AAAI Yuerong Song, Xiaoran Liu, Ruixiao Li, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Ziwei He, Xipeng Qiu
2026	J	`jnl`	Wasserstein Propagation for Reverse Diffusion under Weak Log-Concavity: Exploiting Metric Mismatch via One-Switch Routing. CoRR Zicheng Lyu, Zengfeng Huang
2025	J	`jnl`	Beyond Homogeneous Attention: Memory-Efficient LLMs via Fourier-Approximated KV Cache. CoRR Xiaoran Liu, Siyang He, Qiqi Wang, Ruixiao Li, Yuerong Song, Zhigeng Liu, Linlin Li, Qun Liu, Zengfeng Huang, Qipeng Guo, Ziwei He, Xipeng Qiu
2025	J	`jnl`	Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs. CoRR Xiaoran Liu, Yuerong Song, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Zhaoxiang Liu, Shiguo Lian, Ziwei He, Xipeng Qiu
2025	J	`jnl`	Contra2: A one-step active learning method for imbalanced graphs. Artif. Intell. Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang
2025	J	`jnl`	DiRL: An Efficient Post-Training Framework for Diffusion Language Models. CoRR Ying Zhu, Jiaxin Wan, Xiaoran Liu, Siyanag He, Qiqi Wang, Xu Guo, Tianyi Liang, Zengfeng Huang, Ziwei He, Xipeng Qiu
2025	J	`jnl`	EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty. CoRR Yuchen Tian, Ruiyuan Huang, Xuanwu Wang, Jing Ma, Zengfeng Huang, Ziyang Luo, Hongzhan Lin, Da Zheng, Lun Du
2025	J	`jnl`	GNNFairViz: Visual Analysis for Graph Neural Network Fairness. IEEE Trans. Vis. Comput. Graph. Xinwu Ye, Jielin Feng, Erasmo Purificato, Ludovico Boratto, Michael Kamp, Zengfeng Huang, Siming Chen
2025	J	`jnl`	Graph Batch Coarsening framework for scalable graph neural networks. Neural Networks Shengzhong Zhang, Yimin Zhang, Bisheng Li, Wenjie Yang, Min Zhou, Zengfeng Huang
2025	J	`jnl`	Graph Neural Networks With Adaptive Structures. IEEE J. Sel. Top. Signal Process. Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao
2025	—	`conf`	HAF-RM: A Hybrid Alignment Framework for Reward Model Training. ACL (1) Shujun Liu, Xiaoyu Shen, Yuhang Lai, Siyuan Wang, Shengbin Yue, Zengfeng Huang, Xuanjing Huang, Zhongyu Wei
2025	A*	`conf`	High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions. ICML Ruiyuan Huang, Zengfeng Huang
2025	J	`jnl`	I2HGNN: Iterative Interpretable HyperGraph Neural Network for semi-supervised classification. Neural Networks Hongwei Zhang, Saizhuo Wang, Zixin Hu, Yuan Qi, Zengfeng Huang, Jian Guo
2025	J	`jnl`	Implicit vs Unfolded Graph Neural Networks. J. Mach. Learn. Res. Yongyi Yang, Tang Liu, Yangkun Wang, Zengfeng Huang, David Wipf
2025	A*	`conf`	Lipschitz Bandits in Optimal Space. ICLR Xiaoyi Zhu, Zengfeng Huang
2025	J	`jnl`	LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs. CoRR Xiaoran Liu, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Ziwei He, Xipeng Qiu
2025	A*	`conf`	MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy. ICLR Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf
2025	J	`jnl`	Nearly Tight Bounds for Cross-Learning Contextual Bandits with Graphical Feedback. CoRR Ruiyuan Huang, Zengfeng Huang
2025	—	`conf`	Optimal Framework for Clustering with Noisy Queries. COCOON (1) Jinghui Xia, Zengfeng Huang
2025	J	`jnl`	Poivre: Self-Refining Visual Pointing with Reinforcement Learning. CoRR Wenjie Yang, Zengfeng Huang
2025	—	`conf`	Retrieval-Augmented Language Models are Mimetic Theorem Provers. EMNLP (Findings) Wenjie Yang, Ruiyuan Huang, Jiaxing Guo, Zicheng Lyu, Tongshan Xu, Shengzhong Zhang, Lun Du, Da Zheng, Zengfeng Huang
2025	J	`jnl`	Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math Reasoning. CoRR Jiaxing Guo, Wenjie Yang, Shengzhong Zhang, Tongshan Xu, Lun Du, Da Zheng, Zengfeng Huang
2025	A*	`conf`	Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models. STOC Zengfeng Huang, Zhongzheng Xiong, Xiaoyi Zhu, Zhewei Wei
2025	J	`jnl`	Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models. CoRR Zengfeng Huang, Zhongzheng Xiong, Xiaoyi Zhu, Zhewei Wei
2025	J	`jnl`	Space Complexity of Euclidean Clustering. IEEE Trans. Inf. Theory Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang
2025	J	`jnl`	Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction. CoRR Yuerong Song, Xiaoran Liu, Ruixiao Li, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Ziwei He, Xipeng Qiu
2025	A*	`conf`	TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics. ICLR Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang
2025	J	`jnl`	TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics. CoRR Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang
2025	J	`jnl`	Understanding Class Bias Amplification in Graph Representation Learning. Trans. Mach. Learn. Res. Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Zengfeng Huang
2025	—	`conf`	Your Graph Recommenders are Provably Doing Graph Contrastive Learning. KDD (2) Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang
2024	A*	`conf`	Distributed Thresholded Counting with Limited Interaction. KDD Xiaoyi Zhu, Yuxiang Tian, Zengfeng Huang
2024	Misc	`conf`	Enhancing Performance of Coarsened Graphs with Gradient-Matching. ICASSP Wenjie Yang, Shengzhong Zhang, Zengfeng Huang
2024	J	`jnl`	Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily. IEEE Trans. Neural Networks Learn. Syst. Jie Chen, Shouzhen Chen, Junbin Gao, Zengfeng Huang, Junping Zhang, Jian Pu
2024	J	`jnl`	FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training. Proc. VLDB Endow. Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
2024	J	`jnl`	HAF-RM: A Hybrid Alignment Framework for Reward Model Training. CoRR Shujun Liu, Xiaoyu Shen, Yuhang Lai, Siyuan Wang, Shengbin Yue, Zengfeng Huang, Xuanjing Huang, Zhongyu Wei
2024	J	`jnl`	High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions. CoRR Ruiyuan Huang, Zengfeng Huang
2024	J	`jnl`	Lipschitz Bandits With Batched Feedback. IEEE Trans. Inf. Theory Yasong Feng, Zengfeng Huang, Tianyu Wang
2024	J	`jnl`	Optimal Matrix Sketching over Sliding Windows. CoRR Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li
2024	J	`jnl`	Optimal Matrix Sketching over Sliding Windows. Proc. VLDB Endow. Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li
2024	A*	`conf`	Space Complexity of Euclidean Clustering. SoCG Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang
2024	J	`jnl`	Space Complexity of Euclidean Clustering. CoRR Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang
2024	A*	`conf`	StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. ICLR Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang
2024	—	`conf`	The Communication Complexity of Distributed Maximization. COCOON (1) Yuxiang Tian, Xiaoyi Zhu, Zengfeng Huang
2024	J	`jnl`	Your Graph Recommender is Provably a Single-view Graph Contrastive Learning. CoRR Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang
2023	A*	`conf`	Adversarially Robust Distributed Count Tracking via Partial Differential Privacy. NeurIPS Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang
2023	J	`jnl`	Adversarially Robust Distributed Count Tracking via Partial Differential Privacy. CoRR Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang
2023	J	`jnl`	Effective stabilized self-training on few-labeled graph data. Inf. Sci. Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li
2023	J	`jnl`	Efficient Tree-SVD for Subset Node Embedding over Large Dynamic Graphs. Proc. ACM Manag. Data Xinyu Du, Xingyi Zhang, Sibo Wang, Zengfeng Huang
2023	J	`jnl`	Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. IEEE Trans. Knowl. Data Eng. Hao Xiong, Junchi Yan, Zengfeng Huang
2023	J	`jnl`	On Coresets for Clustering in Small Dimensional Euclidean Spaces. CoRR Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu
2023	A*	`conf`	On Coresets for Clustering in Small Dimensional Euclidean spaces. ICML Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu
2023	J	`jnl`	ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training. CoRR Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
2023	A*	`conf`	Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. NeurIPS Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang
2023	J	`jnl`	Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. CoRR Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang
2023	J	`jnl`	StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. CoRR Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang
2023	J	`jnl`	UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification. CoRR Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang
2023	J	`jnl`	Understanding Community Bias Amplification in Graph Representation Learning. CoRR Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Divin Yan, Zengfeng Huang
2023	C	`conf`	Visual Analytics for Phishing Scam Identification in Blockchain Transactions with Multiple Model Comparison. VINCI Jiaqi Dong, Zishu Qin, Zhou Fang, Xuan Chen, Zengfeng Huang, Haoyun Guo, Richen Liu, Cagatay Turkay, Siming Chen
2022	J	`jnl`	ASGNN: Graph Neural Networks with Adaptive Structure. CoRR Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao
2022	A*	`conf`	BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
2022	J	`jnl`	BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
2022	A*	`conf`	Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy. WWW Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang
2022	J	`jnl`	Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily. CoRR Jie Chen, Shouzhen Chen, Zengfeng Huang, Junping Zhang, Jian Pu
2022	A*	`conf`	Lipschitz Bandits with Batched Feedback. NeurIPS Yasong Feng, Zengfeng Huang, Tianyu Wang
2022	A*	`conf`	Optimal Clustering with Noisy Queries via Multi-Armed Bandit. ICML Jinghui Xia, Zengfeng Huang
2022	J	`jnl`	Optimal Clustering with Noisy Queries via Multi-Armed Bandit. CoRR Jinghui Xia, Zengfeng Huang
2022	A*	`conf`	Transformers from an Optimization Perspective. NeurIPS Yongyi Yang, Zengfeng Huang, David P. Wipf
2022	J	`jnl`	Transformers from an Optimization Perspective. CoRR Yongyi Yang, Zengfeng Huang, David Wipf
2022	A*	`conf`	Why Propagate Alone? Parallel Use of Labels and Features on Graphs. ICLR Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
2021	J	`jnl`	Batched Lipschitz Bandits. CoRR Yasong Feng, Zengfeng Huang, Tianyu Wang
2021	A*	`conf`	BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. NeurIPS Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu
2021	J	`jnl`	BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. CoRR Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu
2021	J	`jnl`	Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA. J. Mach. Learn. Res. Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang
2021	A*	`conf`	Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
2021	J	`jnl`	Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
2021	J	`jnl`	Efficient and High-Quality Seeded Graph Matching: Employing Higher-order Structural Information. ACM Trans. Knowl. Discov. Data Haida Zhang, Zengfeng Huang, Xuemin Lin, Zhe Lin, Wenjie Zhang, Ying Zhang
2021	A*	`conf`	Graph Neural Networks Inspired by Classical Iterative Algorithms. ICML Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
2021	J	`jnl`	Graph Neural Networks Inspired by Classical Iterative Algorithms. CoRR Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
2021	J	`jnl`	Implicit vs Unfolded Graph Neural Networks. CoRR Yongyi Yang, Yangkun Wang, Zengfeng Huang, David Wipf
2021	A*	`conf`	Learning Based Proximity Matrix Factorization for Node Embedding. KDD Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang
2021	J	`jnl`	Learning Based Proximity Matrix Factorization for Node Embedding. CoRR Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang
2021	A*	`conf`	Scaling Up Graph Neural Networks Via Graph Coarsening. KDD Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
2021	J	`jnl`	Scaling Up Graph Neural Networks Via Graph Coarsening. CoRR Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
2021	A*	`conf`	Understanding Bandits with Graph Feedback. NeurIPS Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang
2021	J	`jnl`	Understanding Bandits with Graph Feedback. CoRR Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang
2021	J	`jnl`	Why Propagate Alone? Parallel Use of Labels and Features on Graphs. CoRR Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
2020	—	`conf`	Automatic Term Name Generation for Gene Ontology: Task and Dataset. EMNLP (Findings) Yanjian Zhang, Qin Chen, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang, Weijian Sun, Xuanjing Huang
2020	J	`jnl`	Communication complexity of approximate maximum matching in the message-passing model. Distributed Comput. Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang
2020	J	`jnl`	Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy. CoRR Zhongzheng Xiong, Zengfeng Huang, Xiaojun Mao, Jian Wang, Shan Ying
2020	J	`jnl`	Correction to: Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks. Algorithmica Zengfeng Huang, Ke Yi, Qin Zhang
2020	A*	`conf`	Joint Representation Learning of Legislator and Legislation for Roll Call Prediction. IJCAI Yuqiao Yang, Xiaoqiang Lin, Geng Lin, Zengfeng Huang, Changjian Jiang, Zhongyu Wei
2020	—	`conf`	PathQG: Neural Question Generation from Facts. EMNLP (1) Siyuan Wang, Zhongyu Wei, Zhihao Fan, Zengfeng Huang, Weijian Sun, Qi Zhang, Xuanjing Huang
2020	A*	`conf`	Personalized PageRank to a Target Node, Revisited. KDD Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang
2020	J	`jnl`	Personalized PageRank to a Target Node, Revisited. CoRR Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang
2020	A*	`conf`	SCE: Scalable Network Embedding from Sparsest Cut. KDD Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou
2020	J	`jnl`	SCE: Scalable Network Embedding from Sparsest Cut. CoRR Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou
2020	A*	`conf`	Simple and Deep Graph Convolutional Networks. ICML Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
2020	J	`jnl`	Simple and Deep Graph Convolutional Networks. CoRR Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
2019	J	`jnl`	Dynamic Graph Stream Algorithms in o(n) Space. Algorithmica Zengfeng Huang, Pan Peng
2019	J	`jnl`	Dynamic Self-training Framework for Graph Convolutional Networks. CoRR Ziang Zhou, Shenzhong Zhang, Zengfeng Huang
2019	A*	`conf`	GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search. ICDE Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang
2019	J	`jnl`	Higher-order Weighted Graph Convolutional Networks. CoRR Songtao Liu, Lingwei Chen, Hanze Dong, Zihao Wang, Dinghao Wu, Zengfeng Huang
2019	J	`jnl`	Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices. J. Mach. Learn. Res. Zengfeng Huang
2019	A*	`conf`	Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation. NeurIPS Zengfeng Huang, Ziyue Huang, Yilei Wang, Ke Yi
2019	J	`jnl`	Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks. Algorithmica Zengfeng Huang, Ke Yi, Qin Zhang
2018	J	`jnl`	Efficient and High-Quality Seeded Graph Matching: Employing High Order Structural Information. CoRR Haida Zhang, Zengfeng Huang, Xuemin Lin, Zhe Lin, Wenjie Zhang, Ying Zhang
2018	J	`jnl`	GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search. CoRR Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang
2018	A*	`conf`	Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices. ICML Zengfeng Huang
2017	J	`jnl`	Communication complexity of approximate maximum matching in the message-passing model. CoRR Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang
2017	A*	`conf`	Efficient Matrix Sketching over Distributed Data. PODS Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang
2017	J	`jnl`	The Communication Complexity of Distributed epsilon-Approximations. SIAM J. Comput. Zengfeng Huang, Ke Yi
2017	J	`jnl`	Top-k spatial-keyword publish/subscribe over sliding window. VLDB J. Xiang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin, Zengfeng Huang
2017	A*	`conf`	Tracking Matrix Approximation over Distributed Sliding Windows. ICDE Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin
2016	Misc	`conf`	Clairvoyant Mechanisms for Online Auctions. COCOON Philipp Brandes, Zengfeng Huang, Hsin-Hao Su, Roger Wattenhofer
2016	J	`jnl`	Dynamic Graph Stream Algorithms in $o(n)$ Space. CoRR Zengfeng Huang, Pan Peng
2016	A*	`conf`	Dynamic Graph Stream Algorithms in o(n) Space. ICALP Zengfeng Huang, Pan Peng
2016	J	`jnl`	SKYPE: Top-k Spatial-keyword Publish/Subscribe Over Sliding Window. Proc. VLDB Endow. Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Zengfeng Huang
2016	J	`jnl`	Top-k Spatial-keyword Publish/Subscribe Over Sliding Window. CoRR Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Zengfeng Huang
2015	A	`conf`	Communication Complexity of Approximate Matching in Distributed Graphs. STACS Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang
2014	A*	`conf`	The Communication Complexity of Distributed epsilon-Approximations. FOCS Zengfeng Huang, Ke Yi
2014	J	`jnl`	Tracking the Frequency Moments at All Times. CoRR Zengfeng Huang, Wai Ming Tai, Ke Yi
2013	J	`jnl`	Mergeable summaries. ACM Trans. Database Syst. Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi
2012	A*	`conf`	Mergeable summaries. PODS Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi
2012	A*	`conf`	Randomized algorithms for tracking distributed count, frequencies, and ranks. PODS Zengfeng Huang, Ke Yi, Qin Zhang
2011	A*	`conf`	Optimal sampling algorithms for frequency estimation in distributed data. INFOCOM Zengfeng Huang, Ke Yi, Yunhao Liu, Guihai Chen
2011	J	`jnl`	Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks CoRR Zengfeng Huang, Ke Yi, Qin Zhang
2011	—	`conf`	Sampling based algorithms for quantile computation in sensor networks. SIGMOD Conference Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu