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Publication search results
found 95 matches
- 2024
- Hao Qiu, Zhihao Yu, Tiange Zhao, Qi Zhang, Mingsheng Xu, Peifeng Li, Taotao Li, Wenzhong Bao, Yang Chai, Shula Chen, Yiqi Chen, Hui-Ming Cheng, Daoxin Dai, Zengfeng Di, Zhuo Dong, Xidong Duan, Yuhan Feng, Yu Fu, Jingshu Guo, Pengwen Guo, Yue Hao, Jun He, Xiao He, Jingyi Hu, Weida Hu, Zehua Hu, Xinyue Huang, Ziyang Huang, Ali Imran, Ziqiang Kong, Jia Li, Qian Li, Weisheng Li, Lei Liao, Bilu Liu, Can Liu, Chunsen Liu, Guanyu Liu, Kaihui Liu, Liwei Liu, Sheng Liu, Yuan Liu, Donglin Lu, Likuan Ma, Feng Miao, Zhenhua Ni, Jing Ning, Anlian Pan, Tian-Ling Ren, Haowen Shu, Litao Sun, Yue Sun, Quanyang Tao, Ziao Tian, Dong Wang, Hao Wang, Haomin Wang, Jialong Wang, Junyong Wang, Wenhui Wang, Xingjun Wang, Yeliang Wang, Yuwei Wang, Zhenyu Wang, Yao Wen, Haidi Wu, Hongzhao Wu, Jiangbin Wu, Yanqing Wu, Longfei Xia, Baixu Xiang, Luwen Xing, Qihua Xiong, Xiong Xiong, Jeffrey Xu, Tao Xu, Yang Xu, Liu Yang, Yi Yang, Yuekun Yang, Lei Ye, Yu Ye, Bin Yu, Ting Yu, Hui Zeng, Guangyu Zhang, Hongyun Zhang, Jincheng Zhang, Kai Zhang, Tao Zhang, Xinbo Zhang, Yanfeng Zhang, Chunsong Zhao, Yuda Zhao, Ting Zheng, Peng Zhou, Shaohua Kevin Zhou, Yuxuan Zhu, Deren Yang, Yi Shi, Han Wang, Xinran Wang:
Two-dimensional materials for future information technology: status and prospects. Sci. China Inf. Sci. 67(6) (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): 1473-1486 (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): 2149-2161 (2024) - Yasong Feng, Zengfeng Huang, Tianyu Wang:
Lipschitz Bandits With Batched Feedback. IEEE Trans. Inf. Theory 70(3): 2154-2176 (2024) - Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang:
Space Complexity of Euclidean Clustering. SoCG 2024: 82:1-82:16 - Wenjie Yang, Shengzhong Zhang, Zengfeng Huang:
Enhancing Performance of Coarsened Graphs with Gradient-Matching. ICASSP 2024: 5000-5004 - 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, Zengfeng Huang:
Distributed Thresholded Counting with Limited Interaction. KDD 2024: 4664-4675 - Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang, Zengfeng Huang:
Space Complexity of Euclidean Clustering. CoRR abs/2403.02971 (2024) - 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) - 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) - Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang:
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning. CoRR abs/2407.17723 (2024) - 2023
- 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) - 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) - 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) - Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu:
On Coresets for Clustering in Small Dimensional Euclidean spaces. ICML 2023: 13891-13915 - Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang:
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy. NeurIPS 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: 17:1-17:9 - 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) - Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu:
On Coresets for Clustering in Small Dimensional Euclidean Spaces. CoRR abs/2302.13737 (2023) - 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) - 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) - Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang:
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy. CoRR abs/2311.00346 (2023) - 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) - 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
- 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 - Jinghui Xia, Zengfeng Huang:
Optimal Clustering with Noisy Queries via Multi-Armed Bandit. ICML 2022: 24315-24331 - 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
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