WANG Kaixin Ph.D Candidate & Research Assistant Computation Intelligence Lab (CIL) Data Management and Analytics Lab (DMAL) School of Computer Science and Engineering Nanyang Technological University, Singapore Office: CIL, Block N4, #B1A-02 & DMAL, Block N4, #B3C-14 Contact me: kaixin.wang@ntu.edu.sg & kaixin001@e.ntu.edu.sg

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Currently, I am a Ph.D. candidate at the School of Computer Science and Engineering, Nanyang Technological University, under the supervision of Prof. LONG Cheng. I received my Bachelor's degree from the Honor College (majored in Computer Science) of Beihang University in 2019.

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• Mining on Real Graphs (e.g., large social network, bipartite graphs)
• Deep (Reinforcement) Learning
• Sampling Algorithm Design

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1. Kaixin Wang, Kaiqiang Yu, Cheng Long. "Efficient k-Clique Listing: An Edge-Oriented Branching Strategy", in ACM Conference on Management of Data (SIGMOD'24). [Technical Report] [Code]

2. Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish. "Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams", in Proceedings of the 39th International Conference on Data Engineering (ICDE'23). [Technical Report] [Slides] [Code]

3. Kaixin Wang, Cheng Long, Darrell Joshua Ong, Jie Zhang and Xue-Ming Yuan. "Single-site Perishable Inventory Management under Uncertainties: A Deep Reinforcement Learning Approach", in IEEE Transactions on Knowledge and Data Engineering (TKDE). [Techincal Report] [Code]

4. Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu. "Adaptive Holding for Online Bottleneck Matching with Delays", in Proceedings of the 2021 SIAM International Conference on Data Mining (SDM'21). [Technical Report] [Slides] [Code]

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