黄增峰 - 复旦大学 - 大数据学院

个人简介

教授，博士生导师。浙江大学和香港科技大学分别获得学士和博士学位。在国际期刊和会议上（ICML, NeurIPS, JMLR, FOCS, SICOMP, SIGMOD, TIT等）发表高水平论文五十余篇。获上海市扬帆计划、国家级青年人才计划支持。所发表论文荣获了多项国际奖项，包括ICML 2018最佳论文亚军奖（best paper runner up award），两次世界人工智能大会青年优秀论文提名奖（2020，2023），以及PODS 2022时间检验奖。 Selected Awards ICML 2018 Best Paper Runner Up Award. PODS 2022 Alberto. O. Mendelzon Test-of-Time Award. WAIC 2020 Youth Outstanding Paper Award Honorable Mention. WAIC 2023 Youth Outstanding Paper Award Honorable Mention.

研究领域

机器学习算法与理论，大数据计算，理论计算机科学，复杂网络分析

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Lipschitz Bandits with Batched Feedback Yasong Feng, Zengfeng Huang, Tianyu Wang IEEE Transactions on Information Theory 2023. Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily Jie Chen, Shouzhen Chen, Junbin Gao, Zengfeng Huang, Junping Zhang, Jian Pu IEEE Transactions on Neural Networks and Learning Systems 2023. Effective stabilized self-training on few-labeled graph data Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li Information Sciences 2023. Learning Regularized Noise Contrastive Estimation for Robust Network Embedding Hao Xiong, Junchi Yan, Zengfeng Huang IEEE Transactions on Knowledge and Data Engineering. (TKDE 2022) Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang Journal of Machine Learning Research. (JMLR 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 Transactions on Knowledge Discovery from Data. (TKDD 2021) Communication complexity of approximate maximum matching in the message-passing model Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic, Qin Zhang Distributed Computing 2020 Ghost imaging based on Y-net: a dynamic coding and decoding approach Ruiguo Zhu, Hong Yu, Zhijie Tan, Ronghua Lu, ShenSheng Han, Zengfeng Huang, Jian Wang Optics Express 2020 Some mathematical problems in ghost imaging Jian Wang, Zhishen Tong, Chenyu Hu, Mengchu Xu, Zengfeng Huang Acta Optica Sinica 2020 Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices Zengfeng Huang Journal of Machine Learning Research. (JMLR 2019) Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks Zengfeng Huang, Ke Yi, and Qin Zhang Algorithmica 2019. Dynamic graph stream algorithms in o(n) space Zengfeng Huang and Pan Peng Algorithmica 2019 Optimization of light fields in ghost imaging using dictionary learning Chenyu Hu, Zhishen Tong, Zhentao Liu, Zengfeng Huang, Jian Wang, and Shensheng Han Optics Express 2019. The Communication Complexity of Distributed epsilon-Approximations Zengfeng Huang and Ke Yi SIAM Journal on Computing(SICOMP 2017). Top-k spatial-keyword publish/subscribe over sliding window Xiang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Zengfeng Huang The VLDB Journal 2016 Mergeable Summaries Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, and Ke Yi ACM Transactions on Database Systems (TODS 2013)