| Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation T Zhang, X Wang, B Liang, B Yuan IEEE Transactions on Neural Networks and Learning Systems 34 (12), 9925 - 9939, 2022 | 40 | 2022 |
| Density-based multiscale analysis for clustering in strong noise settings with varying densities T Zhang, B Yuan IEEE Access 6, 25861-25873, 2018 | 28 | 2018 |
| Visualizing MOOC user behaviors: A case study on XuetangX T Zhang, B Yuan International Conference on Intelligent Data Engineering and Automated …, 2016 | 27 | 2016 |
| A surrogate-assisted controller for expensive evolutionary reinforcement learning Y Wang, T Zhang, Y Chang, X Wang, B Liang, B Yuan Information Sciences 616, 539-557, 2022 | 25 | 2022 |
| PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training Y Wang, S Wu, T Zhang, Y Chang, Q FU, H Fu, X Wang 7th Annual Conference on Robot Learning (CoRL 2023), 2023 | 20 | 2023 |
| Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots Y Wang, S Wu, H Fu, Q Fu, T Zhang, Y Chang, X Wang The Eleventh International Conference on Learning Representations (ICLR 2023), 2023 | 19 | 2023 |
| Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization T Zhang, Z Lin, Y Wang, D Ye, Q Fu, W Yang, X Wang, B Liang, B Yuan, ... IEEE Transactions on Neural Networks and Learning Systems 35 (10), 14588 - 14602, 2024 | 17 | 2024 |
| Towards solving TSPN with arbitrary neighborhoods: A hybrid solution B Yuan, T Zhang Australasian Conference on Artificial Life and Computational Intelligence …, 2016 | 10 | 2016 |
| Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models H Sun, J Wu, B Xia, Y Luo, Y Zhao, K Qin, X Lv, T Zhang, Y Chang, ... arXiv preprint arXiv:2505.18536, 2025 | 9 | 2025 |
| Replay-enhanced Continual Reinforcement Learning T Zhang, KZ Shen, Z Lin, B Yuan, X Wang, X Li, D Ye Transactions on Machine Learning Research, 2023 | 8 | 2023 |
| A Critical Note on the Evaluation of Clustering Algorithms T Zhang, L Zhong, B Yuan arXiv preprint arXiv:1908.03782, 2019 | 5 | 2019 |
| Density-based multiscale analysis for clustering in strong noise settings T Zhang, B Yuan Australasian Joint Conference on Artificial Intelligence (AJCAI 2017, Best …, 2017 | 3 | 2017 |
| Ubiquitous robot: A new paradigm for intelligence T Zhang, B Yuan, T Meng, Y Ren, H Liu, X Wang International Conference on Intelligent Data Engineering and Automated …, 2016 | 3 | 2016 |
| Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation Y Luo, X Hu, K Fan, H Sun, Z Chen, B Xia, T Zhang*, Y Chang, X Wang* The Thirty-ninth Annual Conference on Neural Information Processing Systems …, 2025 | 2 | 2025 |
| Sample By Step, Optimize By Chunk: Chunk-Level GRPO For Text-to-Image Generation Y Luo, P Du, B Li, S Du, T Zhang, Y Chang, K Wu, K Gai, X Wang arXiv preprint arXiv:2510.21583, 2025 | 1 | 2025 |
| UACER: An Uncertainty-Aware Critic Ensemble Framework for Robust Adversarial Reinforcement Learning J Wu, T Zhang, Y Wang, Y Chang, X Wang arXiv preprint arXiv:2512.10492, 2025 | | 2025 |
| Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges Y Wang, Z Chen, T Zhang, Q Yin, Y Chang, Z Li, L Wang, X Wang arXiv preprint arXiv:2512.04770, 2025 | | 2025 |
| Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning K Qin, J Wu, J He, H Sun, Y Zhao, B Liang, Y Chang, T Zhang, H Liu arXiv preprint arXiv:2510.04773, 2025 | | 2025 |
| Tacit mechanism: Bridging pre-training of individuality to multi-agent adversarial coordination S Yao, J Chai, H Yu, Y Chang, T Zhang, Y Zhu, X Wang Neural Networks, 108121, 2025 | | 2025 |
Bo Yuan（袁博）Honorary Associate Professor, The University of QueenslandVerified email at ieee.org
