Baijun Wu

Online Learning from Capricious Data Streams: A Generative Approach

Yi He, Di Wu, Baijun Wu, 2019, IJCAI.

An Effective Multi-node Charging Scheme for Wireless Rechargeable Sensor Networks

Jian Peng, Wenzheng Xu, Tang Liu, 2020, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications.

Learning an Effective Charging Scheme for Mobile Devices

Hongyi Wu, Jian Peng, Wenzheng Xu, 2020, 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Low-Cost Collaborative Mobile Charging for Large-Scale Wireless Sensor Networks

Hongyi Wu, Tang Liu, Jian Peng, 2017, IEEE Transactions on Mobile Computing.

RLC: A Reinforcement Learning-Based Charging Algorithm for Mobile Devices

Hongyi Wu, Tang Liu, Baijun Wu, 2021, ACM Trans. Sens. Networks.

Generating precise error specifications for C: a zero shot learning approach

Baijun Wu, John Peter Campora, Sheng Chen, 2019, Proc. ACM Program. Lang..

Unsupervised Lifelong Learning with Curricula

Baijun Wu, Xindong Wu, Xu Yuan, 2021, WWW.

How type errors were fixed and what students did?

Baijun Wu, Sheng Chen, Baijun Wu, 2017, Proc. ACM Program. Lang..

Toward Mining Capricious Data Streams: A Generative Approach

Yi He, Di Wu, Xindong Wu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Delay-Constrained Profit Maximization for Data Deposition in Mobile Opportunistic Device-to-Device Networks

Hongyi Wu, Baijun Wu, Yang Liu, 2018, 2018 IEEE 19th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM).

On Partial Multi-Task Learning

Xindong Wu, Di Wu, Baijun Wu, 2020, ECAI.