Huiliang Zhang

Huiliang Zhang

PhD candidate at McGill working on ML, RL, LLM agents, and reliable evaluation.

Publications

You can also find my articles on my Google Scholar profile.

A) Journals

J. He, H. Yuan, B. Li, H. Zhang, X. Meng, J. Yin, and Y. Li, "Rethinking Driver Fatigue Detection as Anomaly Identification: A Hypergraph-Transformer Approach," Information Processing & Management, vol. 63, no. 3, art. no. 104553, 2026. [DOI] [IPM 2026]

H. Zhang, D. Wu, A. Zinflou, and B. Boulet, "STEMS: Spatial-Temporal-Enhanced Safe Multiagent Coordination for Building Energy Management," IEEE Internet of Things Journal, vol. 13, no. 5, pp. 9548-9560, 2026. [DOI] [IoTJ 2026]

H. Zhang, D. Wu, A. Zinflou, S. Dellacherie, M. M. Dione, and B. Boulet, "Leveraging Long-Term Multivariate History Representation for Time Series Forecasting," IEEE Transactions on Artificial Intelligence, vol. 7, no. 1, pp. 195-209, 2026. [DOI] [TAI 2026]

H. Zhang, P. Nie, L. Sun, and B. Boulet, "Nearest neighbor multivariate time series forecasting," IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 7, pp. 12606-12618, 2025. [DOI] [TNNLS 2025]

W. Sang*, H. Zhang*, X. Kang, P. Nie, X. Meng, B. Boulet, and P. Sun, "Dynamic Multi-Granularity Spatial-Temporal Graph Attention Network for Traffic Forecasting," Information Sciences, vol. 662, art. no. 120230, 2024. (*Equal contribution) [DOI] [IS 2024]

H. Zhang, S. Seal, D. Wu, F. Bouffard, and B. Boulet, "Building Energy Management with Reinforcement Learning and Model Predictive Control: A Survey," IEEE Access, vol. 10, pp. 27853-27862, 2022. [DOI] [IEEE Access 2022]

H. Zhang, M. Ma, and Z. Shao, "Multi-User Linear Precoding for Downlink Generalized Spatial Modulation Systems," IEEE Communications Letters, vol. 24, no. 1, pp. 212-216, 2020. [DOI] [IEEE CL 2020]

B) Conferences

H. Zhang, D. Wu, A. Zinflou, and B. Boulet, "Meta-Reinforcement Learning for Building Energy Management System," in Proc. 2025 IEEE Electrical Power and Energy Conference (EPEC), Waterloo, ON, Canada, 2025, pp. 298-304. Selected as Best Paper Award. [DOI] [EPEC 2025]

H. Zhang, D. Wu, and B. Boulet, "A Review of Recent Advances on Reinforcement Learning for Smart Home Energy Management," in Proc. 2020 IEEE Electric Power and Energy Conference (EPEC), Edmonton, AB, Canada, 2020, pp. 1-6. [DOI] [EPEC 2020]

H. Zhang, Z. Wang, F. Qin, M. Ma, and J. Zhang, "A Neural-Network-Based Non-Linear Interference Cancellation Scheme for Wireless IoT Backhaul With Dual-Connectivity," in Proc. 2019 32nd IEEE International System-on-Chip Conference (SOCC), Singapore, 2019, pp. 444-448. [DOI] [SOCC 2019]

C) Preprints

H. Zhang, D. Wu, and B. Boulet, "Adaptive Aggregation for Safety-Critical Control," arXiv preprint arXiv:2302.03586, 2023. [arXiv] [arXiv 2023]

Y. Lu, H. Zhang, P. Nie, W. Feng, W. Xu, X. E. Wang, and W. Y. Wang, "Anticipating the Unseen Discrepancy for Vision and Language Navigation," arXiv preprint arXiv:2209.04725, 2022. [arXiv] [arXiv 2022]