| 2026 | AAAI | When Safe Unimodal Inputs Collide: Optimizing Reasoning Chains for Cross-Modal Safety in Multimodal Large Language Models. | Wei Cai, Shujuan Liu, Jian Zhao, Ziyan Shi, Yusheng Zhao, Yuchen Yuan, Tianle Zhang, Chi Zhang, Xuelong Li |
| 2026 | AAAI | To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance. | Wanlong Fang, Tianle Zhang, Alvin Chan |
| 2026 | ACL | Visual Attention Reasoning via Hierarchical Search and Self-Verification. | Wei Cai, Jian Zhao, Yuchen Yuan, Tianle Zhang, Ming Zhu, Haichuan Tang, Xuelong Li |
| 2026 | ACL | The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks. | Yusheng Zhao, Jian Zhao, Tianle Zhang, Feng Wei, Xuelong Li |
| 2025 | ICML | PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning. | Dongchi Huang, Jiaqi Wang, Yang Li, Chunhe Xia, Tianle Zhang, Kaige Zhang |
| 2025 | UAI | RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features. | Jialei Song, Xingquan Zuo, Feiyang Wang, Hai Huang, Tianle Zhang |
| 2025 | SiggraphA | Unifying Latent Action and Latent State Pre-training for Policy Learning from Videos. | Guangyan Chen, Meiling Wang, Te Cui, Luojie Yang, Qi Shao, Lin Zhao, Tianle Zhang, Yihang Li, Yi Yang, Yufeng Yue |
| 2024 | AAAI | Reward Certification for Policy Smoothed Reinforcement Learning. | Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan |
| 2024 | CVPR | Towards Fairness-Aware Adversarial Learning. | Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan |
| 2024 | ECCV | RePOSE: 3D Human Pose Estimation via Spatio-Temporal Depth Relational Consistency. | Ziming Sun, Yuan Liang, Zejun Ma, Tianle Zhang, Linchao Bao, Guiqing Li, Shengfeng He |
| 2024 | ICASSP | DeepGRE: Global Robustness Evaluation of Deep Neural Networks. | Tianle Zhang, Jiaxu Liu, Yanghao Zhang, Ronghui Mu, Wenjie Ruan |
| 2024 | ICML | Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. | Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You |
| 2024 | IJCAI | PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. | Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang |
| 2024 | IJCAI | MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models. | Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He |
| 2024 | IJCAI | PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search. | Tianle Zhang, Yanghao Zhang, Ronghui Mu, Jiaxu Liu, Jonathan E. Fieldsend, Wenjie Ruan |
| 2023 | ICONIP | ADGCN: A Weakly Supervised Framework for Anomaly Detection in Social Networks. | Zhixiang Shen, Tianle Zhang, Haolan He |
| 2023 | IJCNN | Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems. | Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan |
| 2022 | IJCNN | Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems. | Yiqun Chen, Wei Yang, Tianle Zhang, Shiguang Wu, Hongxing Chang |
| 2022 | IJCNN | Multi-Agent Local Information Reconstruction for Situational Cognition. | Shiguang Wu, Zhiqiang Pu, Tianle Zhang, Tenghai Qiu, Jianqiang Yi |
| 2022 | IJCNN | Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning. | Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi |
| 2022 | IROS | Multi-UAV Cooperative Short-Range Combat via Attention-Based Reinforcement Learning using Individual Reward Shaping. | Tianle Zhang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Jinying Zhu, Ruiguang Hu |
| 2022 | ICRA | Multi-Target Encirclement with Collision Avoidance via Deep Reinforcement Learning using Relational Graphs. | Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi |
| 2021 | ICONIP | Semantic Perception Swarm Policy with Deep Reinforcement Learning. | Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi |
| 2021 | ICRA | Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework. | Shiguang Wu, Zhiqiang Pu, Zhen Liu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang |
| 2020 | IJCNN | Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy. | Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi |
| 2019 | DASFAA | Understanding Information Diffusion via Heterogeneous Information Network Embeddings. | Yuan Su, Xi Zhang, Senzhang Wang, Binxing Fang, Tianle Zhang, Philip S. Yu |
| 2010 | GLOBECOM | A Model for Evaluating Connectivity Availability in Random Sleep Scheduled Delay-Tolerant Wireless Networks. | Tianle Zhang, Zongwei Luo, Chunlu Wang, Edward C. Wong |
| 2010 | IJCNN | An urban traffic speed fusion method based on principle component analysis and neural network. | Chenye Qiu, Xingquan Zuo, Chunlu Wang, Jianping Wu, Tianle Zhang |