| 2026 | ACL | OptiCo: Adaptive Distributed Training Optimization via Collaborative Agent Reasoning. | Sheng Chen, Tang Zhe, Weixing Zhang, Fei Yang, Yuanyuan Wang, Tianlin Li, Yang Liu |
| 2026 | ACL | Uncovering Strategic Egoism Behaviors in Large Language Models. | Yaoyuan Zhang, Zonghao Ying, Aishan Liu, Jian Yang, Tianlin Li, Yaodong Yang, Xianglong Liu |
| 2026 | ICSE | Unveiling the Potential of Diffusion Large Language Models in Software Engineering Tasks: An Empirical Study. | Jingyao Zhang, Tianlin Li, Xiaoyu Zhang, Qiang Hu, Bin Shi |
| 2026 | TASE | Learn by Analogy: Distribution-Aware Fuzz Testing for DNNs via Cross-Modal Generation. | Boli Huang, Tianlin Li, Ming Hu, Ziming Zhao, MingSong Chen |
| 2025 | AAAI | Perception-Guided Jailbreak Against Text-to-Image Models. | Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu |
| 2025 | ICECCS | An Analytical Perspective on Software Engineering for Large Language Models. | Tianlin Li, Qiang Hu, Chong Wang, Jian Zhang, Wei Ma, Aishan Liu, Jingyi Wang, Yang Liu |
| 2025 | ICLR | STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning. | Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu |
| 2025 | ICML | Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision. | Qi Zhou, Dongxia Wang, Tianlin Li, Yun Lin, Yang Liu, Jin Song Dong, Qing Guo |
| 2025 | ICSE | Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework. | Chong Wang, Zhenpeng Chen, Tianlin Li, Yilun Zhang, Yang Liu |
| 2025 | ICSE | Dissecting Global Search: A Simple Yet Effective Method to Boost Individual Discrimination Testing and Repair. | Lili Quan, Tianlin Li, Xiaofei Xie, Zhenpeng Chen, Sen Chen, Lingxiao Jiang, Xiaohong Li |
| 2025 | ICSE | BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. | Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao |
| 2025 | ICSE | Understanding the Effectiveness of Coverage Criteria for Large Language Models: A Special Angle from Jailbreak Attacks. | Shide Zhou, Tianlin Li, Kailong Wang, Yihao Huang, Ling Shi, Yang Liu, Haoyu Wang |
| 2024 | AAAI | Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. | Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu |
| 2024 | AAAI | FedMut: Generalized Federated Learning via Stochastic Mutation. | Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu |
| 2024 | COLING | Unveiling Project-Specific Bias in Neural Code Models. | Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu |
| 2024 | ICLR | IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. | Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo |
| 2024 | ICLR | BadEdit: Backdooring Large Language Models by Model Editing. | Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu |
| 2024 | ICML | Improving Neural Logic Machines via Failure Reflection. | Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu |
| 2024 | ICSE | RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness. | Tianlin Li, Yue Cao, Jian Zhang, Shiqian Zhao, Yihao Huang, Aishan Liu, Qing Guo, Yang Liu |
| 2023 | ICML | FAIRER: Fairness as Decision Rationale Alignment. | Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu |
| 2023 | IJCAI | Fairness via Group Contribution Matching. | Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu |
| 2023 | ISSTA | Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. | Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu |
| 2020 | ICLR | Knowledge Consistency between Neural Networks and Beyond. | Ruofan Liang, Tianlin Li, Longfei Li, Jing Wang, Quanshi Zhang |
| 2019 | IC2E | ContainerVisor: Customized Control of Container Resources. | Tianlin Li, Kartik Gopalan, Ping Yang |
| 2019 | ICPADS | HMalloc: A Hybrid, Scalable, and Lock-Free Memory Allocator for Multi-Threaded Applications. | Tianlin Li, Yiping Yao, Wenjie Tang, Zhongwei Lin |
| 2018 | PADS | A Binary Search Enhanced Sort-based Interest Matching Algorithm. | Tianlin Li, Wenjie Tang, Yiping Yao, Feng Zhu |
| 2018 | WSC | A Sort-based Interest Matching Algorithm with two Exclusive Judging conditions for Region Overlap. | Tianlin Li, Wenjie Tang, Yiping Yao, Feng Zhu |
| 2017 | WSC | A work-stealing based dynamic load balancing algorithm for conservative parallel discrete event simulation. | Wenjie Tang, Yiping Yao, Feng Zhu, Tianlin Li, Xiao Song |
| 2015 | ACSAC | Privacy-preserving Virtual Machine. | Tianlin Li, Yaohui Hu, Ping Yang, Kartik Gopalan |