About Me

Wei Cheng is a Principal Researcher at NEC Labs America. He received his Ph.D. from the Department of Computer Science, UNC at Chapel Hill in 2015, advised by Prof. Wei Wang. His research interests include data science, machine learning and bioinformatics. He has filed more than 180 patents, and has published more than 150 research papers in top-tier conferences such as NeurIPS, ICML, SIGKDD, ICLR, WWW, EMNLP, ISMB and journals such as Nature, Science, TPAMI, TNNLS, TKDE, Bioinformatics, etc. His research results received Best Research Paper Runner-Up Award at SIGKDD 2016 and were nominated for the Best Paper Award at ICDM 2018, ICDM 2017, ICDM 2015 and SDM 2012. He has also served as area chairs for several top-tier conferences including NeuriPS, ICLR, ACL, SIGKDD, EMNLP, NAACL, IJCAI, SDM, AAAI, WSDM, etc.

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Research Interests

• • Machine Learning: Deep Learning, RL, GNN, Transfer Learning, Meta-Learning, Federated Learning, Imitation Learning

  • NLP: Inference Scaling, Agentic RL, LLM Self-Improving, LLM-generated Content Detection, Code Generation and Reasoning, LLM Agent

  • Data Science: Time Series Analysis, Anomaly Detection, Recommendation

Education

• • Ph.D., Department of Computer Science, the University of North Carolina at Chapel Hill, 2015. Advisor: Prof. Wei Wang (UCLA).

  • M.E., Tsinghua University, 2010.

  • B.E., Nanjing University, 2006.