| 2025 | ICASSP | Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective. | Tianyang Duan, Zongyuan Zhang, Zheng Lin, Yue Gao, Ling Xiong, Yong Cui, Hongbin Liang, Xianhao Chen, Heming Cui, Dong Huang |
| 2025 | IROS | Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks. | Zongyuan Zhang, Tianyang Duan, Zheng Lin, Dong Huang, Zihan Fang, Zekai Sun, Ling Xiong, Hongbin Liang, Heming Cui, Yong Cui, Yue Gao |
| 2024 | ICONIP | Temporal-Contextual Event Learning for Pedestrian Crossing Intent Prediction. | Hongbin Liang, Hezhe Qiao, Wei Huang, Qizhou Wang, Mingsheng Shang, Lin Chen |
| 2017 | VTC | SMDP-Based Resource Allocation for Wireless Networks with Energy Harvesting Constraints. | Mohammed Baljon, Mushu Li, Hongbin Liang, Lian Zhao |
| 2016 | VTC | A SMDP Based Virtual Resource Allocation Model for Multimedia Services in 5G Network. | Hongbin Liang, Lei Zheng, Wei Li, Qingchun Chen |
| 2015 | GLOBECOM | Peer to Peer Anti-Money Laundering Resource Allocation Based on Semi-Markov Decision Process. | Xintao Hong, Hongbin Liang, Lin X. Cai, Zengan Gao, Limin Sun |
| 2012 | TrustCom | Geographic-Based Service Request Scheduling Model for Mobile Cloud Computing. | Tianyi Xing, Hongbin Liang, Dijiang Huang, Lin X. Cai |