Zheng Wang 王铮
Associate Professor, PhD AdvisorInstitute of Cyber Science and Technology
Shanghai Jiao Tong University, China.
Email: wzheng [AATTT] sjtu [DOT] edu [DOT] cn
Office: Room 504B, Micro-Nano Building
Short Biography I am an associate professor at Shanghai Jiao Tong University. I received my PhD degree from Tsinghua University, where I was co-advised by Prof. Xiaojun Ye and Prof. Chaokun Wang. Before that, I obtained my bachelor degree and master degree from Beijing Jiaotong University, advised by Prof. Yao Zhao. During 2018-2021, I was as an assistant professor in Computer Science at USTB; I also was awarded as a "Macao Young Scholars Program" postdoctor advised by Prof. Zhiguo Gong during 2019.11-2021.08. I also work closely with Prof. Philip S. Yu (UIC).
*Hot [招生] 以“AI+Data”为核心开展数据挖掘和数据库两个方向的研究，欢迎感兴趣的同学联系我~(更多)
*New We released rLLM (relationLLM) , the world first algorithm library for Relational Table Learning with LLMs.
*New Our method OGC [TNNLS24] has been officially recommended in the famous GNN libraries DGL and PyG.
*New Our method LPSI [AAAI17] has been officially recommended in a very practical source detection library GraphSL.
*New Our method RECT [TKDE21] has been officially
recommended in the famous GNN libraries DGL and PyG.
*New Tutorial on Zero-shot Graph Embedding given in International Young Scholars Forum at RUC is avaliable [slides].
Research Interests
My research focuses on data mining, deep learning, large model and database. I am equally interested in designing algorithms and systems with strong theoretical foundations and practical implementations for real-world use. Some current projects include:
Preprints
- Li, Weichen, Xiaotong Huang, Jianwu Zheng, Zheng Wang*, Chaokun Wang, Li Pan, and Jianhua Li. rLLM: Relational Table Learning with LLMs. [arXiv].
- Zhao, Siyuan, Yanqi Wu, and Zheng Wang*. HotStuff-2 vs. HotStuff: The Difference and Advantage. [arXiv].
Selected Publications (FULL)
- Zheng Wang, Hongming Ding, Li Pan, Jianhua Li, Zhiguo Gong, Philip S. Yu. From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited. (CCF-B, TNNLS 2024) [Paper, Slides, CODE, Code in DGL, Code in PyG].
- Zheng Wang, Jialong Wang, Yuchen Guo, and Zhiguo Gong. Zero-shot Node Classification with Decomposed Graph Prototype Network. (CCF-A, KDD 2021) [PDF, CODE, Slides].
- Zheng Wang, Xiaojun Ye, Chaokun Wang, Jian Cui, and Philip S. Yu. Network Embedding with Completely-imbalanced Labels. (CCF-A, TKDE 2021) [PDF, CODE, Code in DGL, Code in PyG, Project page].
- Changping Wang, Chaokun Wang, Zheng Wang, Xiaojun Ye and Philip S. Yu. Edge2vec: Edge-based Social Network Embedding. (CCF-B, TKDD 2020) [PDF].
- Zheng Wang, Xiaojun Ye, Chaokun Wang, and Philip S. Yu. Feature Selection via Transferring Knowledge Across Different Classes. (CCF-B, TKDD 2019) [PDF].
- Chaokun Wang, Changping Wang, Zheng Wang, Xiaojun Ye, and etc. DeepDirect: Learning Directions of Social Ties with Edge-Based Network Embedding. ((Extended Abstract). ICDE 2019).
- Yuchen Guo, and etc., Zheng Wang. Dual-view Ranking with Hardness Assessment for Zero-shot Learning. (CCF-A, AAAI 2019).
- Chaokun Wang, Changping Wang, Zheng Wang, Xiaojun Ye, and etc. DeepDirect: Learning Directions of Social Ties with Edge-based Network Embedding. (CCF-A, TKDE 2018) [PDF].
- Zheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, etc. RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding. (CCF-A, AAAI 2018) [PDF, CODE-matlab, CODE-python].
- Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye. Multiple Source Detection without Knowing the Underlying Propagation Model. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (CCF-A, AAAI 2017) [PDF, CODE_Simple, CODE, CODE in GraphSL, Student_report].
- Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye and Philip S. Yu: Causality Based Propagation History Ranking in Social Networks. (CCF-A, IJCAI 2016) [PDF].
Students
*2024-now: Feiyu Pan (PhD), Weichen Li, Ken Zhong
*2023-now: Jianwu Zheng (PhD), Siyuan Zhao
*2022-now: Zhichao Luo, Bowen Zhang, Jiacheng Wei
*2019-now: Jialong Wang (PhD, UM) and Zhe Kan (PhD, SJTU)
*2019-2021: Hongming Ding, Chengzuo Hu, and Ruihang Shao (graduate, USTB)
*2018-2020: Jian Cui, Yingying Chen (graduate, USTB)
Professional Services
PC member/chair for:
Reviewer for: