Education

• 2018 -present,Ph.D, Computer Science ,McGill University

• 2015 -2018 M.S, Computer Science and Technology, Nankai University

• 2011-2015, B.S, Information Management and Information System, Nankai University

Publication

• Dynamic Consolidation for Continual Learning

Hang Li, Chen Ma, Xi Chen, Xue Liu

MIT Neural Computation, 2023.

• Communication Traffic Prediction with Continual Knowledge Distillation

Hang Li,  Ju Wang, Chengming Hu, Xi Chen, Xue Liu, S Jang, Gregory Dudek

ICC 2022-IEEE International Conference on Communications (ICC), 2022

• Data-Efficient Communication Traffic Prediction With Deep Transfer Learning

Hang Li,  Ju Wang, Xi Chen, X ueLiu, G Dudek

ICC 2022-IEEE International Conference on Communications (ICC), 2022

• Short-term load forecasting with deep boosting transfer regression

Di Wu, YT Xu, M Jenkin, J Wang, Hang Li, X Liu, Gregory Dudek

ICC 2022-IEEE International Conference on Communication (ICC), 2022

• Fidora: Robust WiFi-based Indoor Localization via Unsupervised Domain Adaptation

Xi Chen*, Hang Li* (* equal contribution), Chenyi Zhou, Xue Liu, Di Wu, Gregory Dudek 

IEEE Internet of Things Journal, 2022.

• DAFI: WiFi-based Device-free Indoor Localization via Domain Adaptation

Hang Li, Xi Chen, Ju Wang, Di Wu, Xue Liu

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2021.

• Load Balancing for Communication Networks via Data-Efficient Deep Reinforcement Learning

Di Wu, Jikun Kang, Yi Tian Xu, Hang Li, Jimmy Li, Xi Chen, Dmitriy Rivkin, Michael Jenkin, Taeseop Lee, Intaik Park, Xue Liu, Gregory Dudek

IEEE Global Communications Conference (GLOBECOM), 2021.

• AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting

Chengming Hu, Xi Chen, Ju Wang, Hang Li, Jikun Kang, Yi Tian Xu, Xue Liu, Di Wu, Seowoo Jang, Intaik Park, Gregory Dudek

IEEE Global Communications Conference (GLOBECOM), 2021. 

• One for All: Traffic Prediction at Heterogeneous 5G Edge with Data-Efficient Transfer Learning

Xi Chen, Ju Wang, Hang Li, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek, Taeseop Lee, Intaik Park

IEEE Global Communications Conference (GLOBECOM), 2021.  (Best Paper Award).

• Feature Statistics Guided Efficient Filter Pruning

Hang Li, Chen Ma, Wei Xu, Xue Liu

International Joint Conference on Artificial Intelligence (IJCAI), 2020.

• FiDo: Ubiquitous Fine-Grained WiFi-based Localization for Unlabelled Users via Domain Adaptation

Hang Li* (* equal contribution), Xi Chen*,  Chenyi Zhou, Xue Liu, Di Wu, Gregory Dudek

Proceedings of The Web Conference (WWW), 2020.

• HAVAE: Learning Prosodic-Enhanced Representations of Rap Lyrics 

Hongru Liang, Qian Li, Haozheng Wang, Hang Li, Jun Wang, Zhe Sun, Jin-Mao Wei and Zhenglu Yang. 

Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2018. 

• AttAE-RL2: Attention based Autoencoder for Rap Lyrics Representation Learning 

Hongru Liang, Qian Li, Haozheng Wang, Hang Li, Jin-mao Wei, Zhenglu Yang.  

ACM International World Wide Web Conference (WWW), 2018. poster. 

• Effective Representing Information Network by Variational Autoencoder

Hang Li, Haozheng Wang, Zhenglu Yang, Jin-Mao Wei. 

International Joint Conference on Artificial Intelligence (IJCAI), 2017. 

• Effective Strategies on Representing Information Networks 

Hang Li, Haozheng Wang, Zhenglu Yang, Jin-Mao Wei. 

ACM International World Wide Web Conference (WWW), 2017. poster.