An Application-Level Approach for Privacy-Preserving Virtual Machine Checkpointing. - Yaohui Hu; Tianlin Li; Ping Yang 002; Kartik Gopalan (IEEE CLOUD, 2013)

Performance Analysis of Encryption in Securing the Live Migration of Virtual Machines. - Yaohui Hu; Sanket Panhale; Tianlin Li; Emine Kaynar; Danny Chan; Umesh Deshpande; Ping Yang 002; Kartik Gopalan (CLOUD, 2015)

Privacy-preserving Virtual Machine. - Tianlin Li; Yaohui Hu; Ping Yang 002; Kartik Gopalan (ACSAC, 2015)

Security Analysis of Email Systems. - Tianlin Li; Amish Mehta; Ping Yang 002 (CSCloud, 2017)

A Hybrid Pedestrian Motion Modeling Approach for Crowd Simulation. - Tianlin Li; Yiping Yao; Wenjie Tang; Feng Yao (ISCID (1), 2017)

Performance Exploration for high Performance Simulation in Lightweight-Virtualization-Based Cloud. - Feng Yao; Yiping Yao; Sirui Bao; Dong Meng; Jiawei Fei; Tianlin Li (ISCID (2), 2017)

An Optimized Memory Management Algorithm for Realtime Simulation on Linux Operation System. - Miao Zhang; Zhiwen Jiang; Yiping Yao; Tianlin Li (SimuTools, 2017)

A work-stealing based dynamic load balancing algorithm for conservative parallel discrete event simulation. - Wenjie Tang; Yiping Yao; Feng Zhu 009; Tianlin Li; Xiao Song 001 (WSC, 2017)

A Binary Search Enhanced Sort-based Interest Matching Algorithm. - Tianlin Li; Wenjie Tang; Yiping Yao; Feng Zhu 009 (SIGSIM-PADS, 2018)

A Sort-based Interest Matching Algorithm with two Exclusive Judging conditions for Region Overlap. - Tianlin Li; Wenjie Tang; Yiping Yao; Feng Zhu 009 (WSC, 2018)

ContainerVisor: Customized Control of Container Resources. - Tianlin Li; Kartik Gopalan; Ping Yang 002 (IC2E, 2019)

HMalloc: A Hybrid, Scalable, and Lock-Free Memory Allocator for Multi-Threaded Applications. - Tianlin Li; Yiping Yao; Wenjie Tang; Zhongwei Lin (ICPADS, 2019)

An efficient virtual machine allocation algorithm for parallel and distributed simulation applications. - Feng Yao; Yiping Yao; Huangke Chen; Tianlin Li; Menglong Lin; Xiaoxiong Zhang (Concurr. Comput. Pract. Exp., 2019)

Knowledge Isomorphism between Neural Networks. - Ruofan Liang; Tianlin Li; Longfei Li; Quanshi Zhang (CoRR, 2019)

Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. - Chongzhi Zhang; Aishan Liu; Xianglong Liu 001; Yitao Xu; Hang Yu 016; Yuqing Ma; Tianlin Li (CoRR, 2019)

An intelligent scheduling algorithm for complex manufacturing system simulation with frequent synchronizations in a cloud environment. - Feng Yao; Yiping Yao; Lining Xing 001; Huangke Chen; Zhongwei Lin; Tianlin Li (Memetic Comput., 2019)

An exponential search enhanced dynamic sort-based interest matching algorithm for interest management in distributed simulation. - Tianlin Li; Yiping Yao; Wenjie Tang; Feng Yao; Feng Zhu 009 (Simul. Model. Pract. Theory, 2019)

Knowledge Consistency between Neural Networks and Beyond. - Ruofan Liang; Tianlin Li; Longfei Li; Jing Wang; Quanshi Zhang (ICLR, 2020)

An efficient multi-threaded memory allocator for PDES applications. - Tianlin Li; Yiping Yao; Wenjie Tang; Feng Zhu 009; Zhongwei Lin (Simul. Model. Pract. Theory, 2020)

An Adaptive Persistence and Work-stealing Combined Algorithm for Load Balancing on Parallel Discrete Event Simulation. - Wenjie Tang; Yiping Yao; Tianlin Li; Xiao Song 001; Feng Zhu 009 (ACM Trans. Model. Comput. Simul., 2020)

Understanding adversarial robustness via critical attacking route. - Tianlin Li; Aishan Liu; Xianglong Liu 001; Yitao Xu; Chongzhi Zhang; Xiaofei Xie (Inf. Sci., 2021)

Video Question Answering: a Survey of Models and Datasets. - Guanglu Sun; Lili Liang; Tianlin Li; Bo Yu; Meng Wu; Bolun Zhang (Mob. Networks Appl., 2021)

Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity. - Chongzhi Zhang; Aishan Liu; Xianglong Liu 001; Yitao Xu; Hang Yu 016; Yuqing Ma; Tianlin Li (IEEE Trans. Image Process., 2021)

Unveiling Project-Specific Bias in Neural Code Models. - Zhiming Li; Yanzhou Li; Tianlin Li; Mengnan Du; Bozhi Wu; Yushi Cao; Xiaofei Xie; Yi Li 008; Yang Liu 003 (CoRR, 2022)

NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. - Xiaofei Xie; Tianlin Li; Jian Wang 067; Lei Ma 003; Qing Guo 005; Felix Juefei-Xu; Yang Liu 003 (ACM Trans. Softw. Eng. Methodol., 2022)

FAIRER: Fairness as Decision Rationale Alignment. - Tianlin Li; Qing Guo 005; Aishan Liu; Mengnan Du; Zhiming Li; Yang Liu 003 (ICML, 2023)

Fairness via Group Contribution Matching. - Tianlin Li; Zhiming Li; Anran Li 001; Mengnan Du; Aishan Liu; Qing Guo 005; Guozhu Meng; Yang Liu 003 (IJCAI, 2023)

Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. - Yisong Xiao; Aishan Liu; Tianlin Li; Xianglong Liu 001 (ISSTA, 2023)

Learning to Locate and Describe Vulnerabilities. - Jian Zhang 087; Shangqing Liu; Xu Wang 007; Tianlin Li; Yang Liu 003 (ASE, 2023)

On the Robustness of Segment Anything. - Yihao Huang 001; Yue Cao; Tianlin Li; Felix Juefei-Xu; Di Lin 002; Ivor W. Tsang; Yang Liu 003; Qing Guo 005 (CoRR, 2023)

A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection. - Xiaoyu Zhang 013; Cen Zhang; Tianlin Li; Yihao Huang 001; Xiaojun Jia; Xiaofei Xie; Yang Liu 003; Chao Shen 001 (CoRR, 2023)

Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. - Yihao Huang 001; Felix Juefei-Xu; Qing Guo 005; Jie Zhang 002; Yutong Wu 009; Ming Hu 003; Tianlin Li; Geguang Pu; Yang Liu 003 (AAAI, 2024)

FedMut: Generalized Federated Learning via Stochastic Mutation. - Ming Hu 003; Yue Cao; Anran Li 001; Zhiming Li; Chengwei Liu; Tianlin Li; Mingsong Chen 001; Yang Liu 003 (AAAI, 2024)

Unveiling Project-Specific Bias in Neural Code Models. - Zhiming Li; Yanzhou Li; Tianlin Li; Mengnan Du; Bozhi Wu; Yushi Cao; Junzhe Jiang 002; Yang Liu 003 (LREC/COLING, 2024)

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation. - Guanyu Wang 005; Yuekang Li; Yi Liu 069; Gelei Deng; Tianlin Li; Guosheng Xu 001; Yang Liu 003; Haoyu Wang 001; Kailong Wang 001 (FORGE, 2024)

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. - Yue Cao; Tianlin Li; Xiaofeng Cao 002; Ivor W. Tsang; Yang Liu 003; Qing Guo 005 (ICLR, 2024)

BadEdit: Backdooring Large Language Models by Model Editing. - Yanzhou Li; Tianlin Li; Kangjie Chen; Jian Zhang 087; Shangqing Liu; Wenhan Wang; Tianwei Zhang 004; Yang Liu 003 (ICLR, 2024)

Improving Neural Logic Machines via Failure Reflection. - Zhiming Li; Yushi Cao; Yan Zheng 002; Xu Liu 014; Bozhi Wu; Tianlin Li; Xiufeng Xu; Junzhe Jiang 002; Yon Shin Teo; Shang-Wei Lin 001; Yang Liu 003 (ICML, 2024)

RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness. - Tianlin Li; Yue Cao; Jian Zhang 087; Shiqian Zhao; Yihao Huang 001; Aishan Liu; Qing Guo 005; Yang Liu 003 (ICSE, 2024)

VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair. - Jian Zhang 087; Chong Wang 013; Anran Li 001; Wenhan Wang; Tianlin Li; Yang Liu 003 (ASE, 2024)

SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification. - Yanxin Yang; Chentao Jia; Dengke Yan; Ming Hu 003; Tianlin Li; Xiaofei Xie; Xian Wei; Mingsong Chen 001 (NeurIPS, 2024)

Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective. - Yihao Huang 001; Kaiyuan Yu; Qing Guo 005; Felix Juefei-Xu; Xiaojun Jia; Tianlin Li; Geguang Pu; Yang Liu 003 (CoRR, 2024)

FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution. - Qi Zhou 012; Dongxia Wang 002; Tianlin Li; Zhihong Xu; Yang Liu 003; Kui Ren 001; Wenhai Wang; Qing Guo 005 (CoRR, 2024)

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One. - Tianlin Li; Xiaoyu Zhang 013; Chao Du; Tianyu Pang; Qian Liu 012; Qing Guo 005; Chao Shen 001; Yang Liu 003 (CoRR, 2024)

Purifying Large Language Models by Ensembling a Small Language Model. - Tianlin Li; Qian Liu 012; Tianyu Pang; Chao Du; Qing Guo 005; Yang Liu 003; Min Lin (CoRR, 2024)

MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling. - Bowen Zhang; Xiaofei Xie; Haotian Lu 004; Na Ma; Tianlin Li; Qing Guo 005 (CoRR, 2024)

NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing. - Shide Zhou; Tianlin Li; Yihao Huang 001; Ling Shi 002; Kailong Wang 001; Yang Liu 003; Haoyu Wang 001 (CoRR, 2024)

Compromising Embodied Agents with Contextual Backdoor Attacks. - Aishan Liu; Yuguang Zhou; Xianglong Liu 001; Tianyuan Zhang 004; Siyuan Liang; Jiakai Wang; Yanjun Pu; Tianlin Li; Junqi Zhang; Wenbo Zhou; Qing Guo 005; Dacheng Tao (CoRR, 2024)

Investigating Coverage Criteria in Large Language Models: An In-Depth Study Through Jailbreak Attacks. - Shide Zhou; Tianlin Li; Kailong Wang 001; Yihao Huang 001; Ling Shi 002; Yang Liu 003; Haoyu Wang 001 (CoRR, 2024)

Dormant: Defending against Pose-driven Human Image Animation. - Jiachen Zhou 001; Mingsi Wang; Tianlin Li; Guozhu Meng; Kai Chen 012 (CoRR, 2024)

Federated Graph Learning with Adaptive Importance-based Sampling. - Anran Li 001; Yuanyuan Chen; Chao Ren 006; Wenhan Wang; Ming Hu 003; Tianlin Li; Han Yu 001; Qingyu Chen (CoRR, 2024)

Speculative Coreset Selection for Task-Specific Fine-tuning. - Xiaoyu Zhang 013; Juan Zhai; Shiqing Ma; Chao Shen 001; Tianlin Li; Weipeng Jiang; Yang Liu 003 (CoRR, 2024)

Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework. - Chong Wang 013; Zhenpeng Chen; Tianlin Li; Yilun Zhao 004; Yang Liu 003 (CoRR, 2024)

A Survey on Physical Adversarial Attacks against Face Recognition Systems. - Mingsi Wang; Jiachen Zhou 001; Tianlin Li; Guozhu Meng; Kai Chen 012 (CoRR, 2024)

Benchmarking Bias in Large Language Models during Role-Playing. - Xinyue Li; Zhenpeng Chen; Jie M. Zhang; Yiling Lou; Tianlin Li; Weisong Sun; Yang Liu 003; Xuanzhe Liu (CoRR, 2024)

Defending LVLMs Against Vision Attacks through Partial-Perception Supervision. - Qi Zhou 012; Tianlin Li; Qing Guo 005; Dongxia Wang 002; Yun Lin 001; Yang Liu 003; Jin Song Dong 001 (CoRR, 2024)

Improving Deepfake Detection Generalization by Invariant Risk Minimization. - Zixin Yin; Jiakai Wang; Yisong Xiao; Hanqing Zhao; Tianlin Li; Wenbo Zhou; Aishan Liu; Xianglong Liu 001 (IEEE Trans. Multim., 2024)

Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis. - Tianlin Li; Xiaofei Xie; Jian Wang 067; Qing Guo 005; Aishan Liu; Lei Ma 003; Yang Liu 003 (ACM Trans. Softw. Eng. Methodol., 2024)

CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. - Zeke Xia; Ming Hu 003; Dengke Yan; Xiaofei Xie; Tianlin Li; Anran Li 001; Junlong Zhou; Mingsong Chen 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Perception-Guided Jailbreak Against Text-to-Image Models. - Yihao Huang 001; Le Liang; Tianlin Li; Xiaojun Jia; Run Wang 001; Weikai Miao; Geguang Pu; Yang Liu 003 (AAAI, 2025)

STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning. - Xiaoyu Zhang 013; Juan Zhai; Shiqing Ma; Chao Shen 001; Tianlin Li; Weipeng Jiang; Yang Liu 003 (ICLR, 2025)

Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework. - Chong Wang 013; Zhenpeng Chen; Tianlin Li; Yilun Zhang; Yang Liu 003 (NIER@ICSE, 2025)

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 001; Lingxiao Jiang; Xiaohong Li 001 (ICSE, 2025)

BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. - Yisong Xiao; Aishan Liu; Xinwei Zhang; Tianyuan Zhang 004; Tianlin Li; Siyuan Liang; Xianglong Liu 001; Yang Liu 088; Dacheng Tao (ICSE, 2025)

Understanding the Effectiveness of Coverage Criteria for Large Language Models: A Special Angle from Jailbreak Attacks. - Shide Zhou; Tianlin Li; Kailong Wang 001; Yihao Huang 001; Ling Shi 002; Yang Liu 003; Haoyu Wang 001 (ICSE, 2025)

SACL: Semantics-Aware Contrastive Learning for One-Shot Medical Image Segmentation. - Tianlin Li; Kaichen Nie; Yuru Pei (ISBI, 2025)

MH-FFNet: Leveraging mid-high frequency information for robust fine-grained face forgery detection. - Kai Zhou; Guanglu Sun; Jun Wang 061; Linsen Yu; Tianlin Li (Expert Syst. Appl., 2025)

Software Fairness Dilemma: Is Bias Mitigation a Zero-Sum Game? - Zhenpeng Chen; Xinyue Li; Jie M. Zhang; Weisong Sun; Ying Xiao; Tianlin Li; Yiling Lou; Yang Liu 003 (Proc. ACM Softw. Eng., 2025)

Compromising LLM Driven Embodied Agents With Contextual Backdoor Attacks. - Aishan Liu; Yuguang Zhou; Xianglong Liu 001; Tianyuan Zhang 004; Siyuan Liang; Jiakai Wang; Yanjun Pu; Tianlin Li; Junqi Zhang; Wenbo Zhou; Qing Guo 005; Dacheng Tao (IEEE Trans. Inf. Forensics Secur., 2025)

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. - Kun Wang 056; Guibin Zhang; Zhenhong Zhou; Jiahao Wu; Miao Yu; Shiqian Zhao; Chenlong Yin; Jinhu Fu; Yibo Yan; Hanjun Luo; Liang Lin; Zhihao Xu; et al. (CoRR, 2025)

A Vision for Auto Research with LLM Agents. - Chengwei Liu; Chong Wang 013; Jiayue Cao; Jingquan Ge; Kun Wang 042; Lvye Zhang; Ming-Ming Cheng; Penghai Zhao; Tianlin Li; Xiaojun Jia; Xiang Li 041; Xinfeng Li; et al. (CoRR, 2025)

Software Development Life Cycle Perspective: A Survey of Benchmarks for Code Large Language Models and Agents. - Kaixin Wang; Tianlin Li; Xiaoyu Zhang 013; Chong Wang 013; Weisong Sun; Yang Liu 003; Bin Shi (CoRR, 2025)

Benchmarking and Revisiting Code Generation Assessment: A Mutation-Based Approach. - Longtian Wang; Tianlin Li; Xiaofei Xie; Yuhan Zhi; Jian Wang; Chao Shen 001 (CoRR, 2025)

TokenProber: Jailbreaking Text-to-image Models via Fine-grained Word Impact Analysis. - Longtian Wang; Xiaofei Xie; Tianlin Li; Yuhan Zhi; Chao Shen 001 (CoRR, 2025)

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity. - Qi Zhou 012; Jie Zhang 002; Dongxia Wang 002; Qiang Liu; Tianlin Li; Jin Song Dong; Wenhai Wang; Qing Guo 005 (CoRR, 2025)

Investigating Training Data Detection in AI Coders. - Tianlin Li; Yunxiang Wei; Zhiming Li; Aishan Liu; Qing Guo 005; Xianglong Liu 001; Dongning Sun; Yang Liu 088 (CoRR, 2025)

MASteer: Multi-Agent Adaptive Steer Strategy for End-to-End LLM Trustworthiness Repair. - Changqing Li; Tianlin Li; Xiaohan Zhang; Aishan Liu; Li Pan (CoRR, 2025)

Your Coding Intent is Secretly in the Context and You Should Deliberately Infer It Before Completion. - Yanzhou Li; Tianlin Li; Yiran Zhang; Shangqing Liu; Aishan Liu; Yang Liu (CoRR, 2025)

Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation. - Chong Wang 013; Jian Zhang 087; Yebo Feng; Tianlin Li; Weisong Sun; Yang Liu 003; Xin Peng 001 (ACM Trans. Softw. Eng. Methodol., 2025)