Selected Publications

Yu H, Li Q, Geng Y, Zhang Y, Wei Z: AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. Proceedings of the 34th AAAI Conference on Articial Intelligence (AAAI), New York, NY Feb 2020.

Cheng C, Tan F, Wei Z: DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature. Proceedings of the 34th AAAI Conference on Articial Intelligence (AAAI), New York, NY Feb 2020.

Tan F, Wei Z, Pani A, Yan Z: User Response Driven Content Understanding with Causal Inference. Proceedings of IEEE International Conference on Data Mining (ICDM), Beijing, China Nov 2019.

Cheng C, Tan F, Wei Z: Success Prediction on Crowdfunding with Multimodal Deep Learning. Proceedings of the 28th International Joint Conference on Articial Intelligence (IJCAI), Macao, China Aug 2019.

Li X, Lv Z, Wang Z, Wei Z, Wu L: A Reinforcement Learning Model Based on Temporal Difference Algorithm. IEEE Access 7: 121922-121930, 2019.

Li J, Wei Z, Zhang J, Hakonarson H, Cook-Sather SD: Candidate gene analyses for acute pain and morphine analgesia after pediatric day surgery: African American versus European Caucasian ancestry and dose prediction limits. The Pharmacogenomics Journal 1, 2019.

Zhang J, Wei Z, Yan Z, Zhou M, Pani A: Online Change-Point Detection in Sparse Time Series With Application to Online Advertising. IEEE Transactions on Systems, Man, and Cybernetics 49(6): 1141-1151, 2019.

Li X, He S, Wei Z, Wu L: Improved Online Sequential Extreme Learning Machine: A New Intelligent Evaluation Method for AZ-Style Algorithms. IEEE Access 7: 124891-124901, 2019.

Li X, Lv Z, Wang S, Wei Z, Zhang X, Wu L: A Middle Game Search Algorithm Applicable to Low-Cost Personal Computer for GO. IEEE Access 7: 121719-121727, 2019.

Tan F, Hou X, Zhang J, Wei Z, Yan Z: A Deep Learning Approach to Competing Risks Representation in Peer-to-Peer Lending. IEEE Transactions on Neural Networks and Learning Systems 30(5): 165-1574, 2019.