Tianlin Li

According to our database, Tianlin Li authored at least 79 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation.

Chong Wang, Jian Zhang, Yebo Feng, Tianlin Li, Weisong Sun, Yang Liu, Xin Peng

ACM Trans. Softw. Eng. Methodol., September, 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, August, 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, August, 2025

Investigating Training Data Detection in AI Coders.

Tianlin Li, Yunxiang Wei, Zhiming Li, Aishan Liu, Qing Guo, Xianglong Liu, Dongning Sun, Yang Liu

CoRR, July, 2025

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity.

Qi Zhou, Jie Zhang, Dongxia Wang, Qiang Liu, Tianlin Li, Jin Song Dong, Wenhai Wang, Qing Guo

CoRR, May, 2025

TokenProber: Jailbreaking Text-to-image Models via Fine-grained Word Impact Analysis.

Longtian Wang, Xiaofei Xie, Tianlin Li, Yuhan Zhi, Chao Shen

CoRR, May, 2025

Benchmarking and Revisiting Code Generation Assessment: A Mutation-Based Approach.

Longtian Wang, Tianlin Li, Xiaofei Xie, Yuhan Zhi, Jian Wang, Chao Shen

CoRR, May, 2025

Software Development Life Cycle Perspective: A Survey of Benchmarks for Code Large Language Models and Agents.

Kaixin Wang, Tianlin Li, Xiaoyu Zhang, Chong Wang, Weisong Sun, Yang Liu, Bin Shi

CoRR, May, 2025

A Vision for Auto Research with LLM Agents.

Chengwei Liu, Chong Wang, Jiayue Cao, Jingquan Ge, Kun Wang, Lvye Zhang, Ming-Ming Cheng, Penghai Zhao, Tianlin Li, Xiaojun Jia, Xiang Li, Xinfeng Li, Yang Liu, Yebo Feng, Yihao Huang, Yijia Xu, Yuqiang Sun, Zhenhong Zhou, Zhengzi Xu

CoRR, April, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu

CoRR, April, 2025

Compromising LLM Driven Embodied Agents With Contextual Backdoor Attacks.

Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao

IEEE Trans. Inf. Forensics Secur., 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

Proc. ACM Softw. Eng., 2025

MH-FFNet: Leveraging mid-high frequency information for robust fine-grained face forgery detection.

Kai Zhou, Guanglu Sun, Jun Wang, Linsen Yu, Tianlin Li

Expert Syst. Appl., 2025

SACL: Semantics-Aware Contrastive Learning for One-Shot Medical Image Segmentation.

Tianlin Li, Kaichen Nie, Yuru Pei

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

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

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 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, Lingxiao Jiang, Xiaohong Li

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework.

Chong Wang, Zhenpeng Chen, Tianlin Li, Yilun Zhang, Yang Liu

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, ICSE 2025 - NIER, Ottawa, ON, Canada, April 27, 2025

STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning.

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Perception-Guided Jailbreak Against Text-to-Image Models.

Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance.

Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis.

Tianlin Li, Xiaofei Xie, Jian Wang, Qing Guo, Aishan Liu, Lei Ma, Yang Liu

ACM Trans. Softw. Eng. Methodol., January, 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

IEEE Trans. Multim., 2024

Defending LVLMs Against Vision Attacks through Partial-Perception Supervision.

Qi Zhou, Tianlin Li, Qing Guo, Dongxia Wang, Yun Lin, Yang Liu, Jin Song Dong

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, Xuanzhe Liu

CoRR, 2024

A Survey on Physical Adversarial Attacks against Face Recognition Systems.

Mingsi Wang, Jiachen Zhou, Tianlin Li, Guozhu Meng, Kai Chen

CoRR, 2024

Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework.

Chong Wang, Zhenpeng Chen, Tianlin Li, Yilun Zhao, Yang Liu

CoRR, 2024

Speculative Coreset Selection for Task-Specific Fine-tuning.

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu

CoRR, 2024

Federated Graph Learning with Adaptive Importance-based Sampling.

Anran Li, Yuanyuan Chen, Chao Ren, Wenhan Wang, Ming Hu, Tianlin Li, Han Yu, Qingyu Chen

CoRR, 2024

Dormant: Defending against Pose-driven Human Image Animation.

Jiachen Zhou, Mingsi Wang, Tianlin Li, Guozhu Meng, Kai Chen

CoRR, 2024

Investigating Coverage Criteria in Large Language Models: An In-Depth Study Through Jailbreak Attacks.

Shide Zhou, Tianlin Li, Kailong Wang, Yihao Huang, Ling Shi, Yang Liu, Haoyu Wang

CoRR, 2024

Compromising Embodied Agents with Contextual Backdoor Attacks.

Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao

CoRR, 2024

NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing.

Shide Zhou, Tianlin Li, Yihao Huang, Ling Shi, Kailong Wang, Yang Liu, Haoyu Wang

CoRR, 2024

MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling.

Bowen Zhang, Xiaofei Xie, Haotian Lu, Na Ma, Tianlin Li, Qing Guo

CoRR, 2024

Purifying Large Language Models by Ensembling a Small Language Model.

Tianlin Li, Qian Liu, Tianyu Pang, Chao Du, Qing Guo, Yang Liu, Min Lin

CoRR, 2024

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One.

Tianlin Li, Xiaoyu Zhang, Chao Du, Tianyu Pang, Qian Liu, Qing Guo, Chao Shen, Yang Liu

CoRR, 2024

FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution.

Qi Zhou, Dongxia Wang, Tianlin Li, Zhihong Xu, Yang Liu, Kui Ren, Wenhai Wang, Qing Guo

CoRR, 2024

Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective.

Yihao Huang, Kaiyuan Yu, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Tianlin Li, Geguang Pu, Yang Liu

CoRR, 2024

SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification.

Yanxin Yang, Chentao Jia, Dengke Yan, Ming Hu, Tianlin Li, Xiaofei Xie, Xian Wei, Mingsong Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair.

Jian Zhang, Chong Wang, Anran Li, Wenhan Wang, Tianlin Li, Yang Liu

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

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

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BadEdit: Backdooring Large Language Models by Model Editing.

Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks.

Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation.

Guanyu Wang, Yuekang Li, Yi Liu, Gelei Deng, Tianlin Li, Guosheng Xu, Yang Liu, Haoyu Wang, Kailong Wang

Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

Unveiling Project-Specific Bias in Neural Code Models.

Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

FedMut: Generalized Federated Learning via Stochastic Mutation.

Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection.

Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Xiaofei Xie, Yang Liu, Chao Shen

CoRR, 2023

On the Robustness of Segment Anything.

Yihao Huang, Yue Cao, Tianlin Li, Felix Juefei-Xu, Di Lin, Ivor W. Tsang, Yang Liu, Qing Guo

CoRR, 2023

Learning to Locate and Describe Vulnerabilities.

Jian Zhang, Shangqing Liu, Xu Wang, Tianlin Li, Yang Liu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing.

Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Fairness via Group Contribution Matching.

Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

FAIRER: Fairness as Decision Rationale Alignment.

Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu

Proceedings of the International Conference on Machine Learning, 2023

2022

NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks.

Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, Yang Liu

ACM Trans. Softw. Eng. Methodol., 2022

Unveiling Project-Specific Bias in Neural Code Models.

Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu

CoRR, 2022

2021

Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity.

Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li

IEEE Trans. Image Process., 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

Understanding adversarial robustness via critical attacking route.

Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, Xiaofei Xie

Inf. Sci., 2021

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, Feng Zhu

ACM Trans. Model. Comput. Simul., 2020

An efficient multi-threaded memory allocator for PDES applications.

Tianlin Li, Yiping Yao, Wenjie Tang, Feng Zhu, Zhongwei Lin

Simul. Model. Pract. Theory, 2020

Knowledge Consistency between Neural Networks and Beyond.

Ruofan Liang, Tianlin Li, Longfei Li, Jing Wang, Quanshi Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Simul. Model. Pract. Theory, 2019

An intelligent scheduling algorithm for complex manufacturing system simulation with frequent synchronizations in a cloud environment.

Feng Yao, Yiping Yao, Lining Xing, Huangke Chen, Zhongwei Lin, Tianlin Li

Memetic Comput., 2019

Interpreting and Improving Adversarial Robustness with Neuron Sensitivity.

Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li

CoRR, 2019

Knowledge Isomorphism between Neural Networks.

Ruofan Liang, Tianlin Li, Longfei Li, Quanshi Zhang

CoRR, 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

HMalloc: A Hybrid, Scalable, and Lock-Free Memory Allocator for Multi-Threaded Applications.

Tianlin Li, Yiping Yao, Wenjie Tang, Zhongwei Lin

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

ContainerVisor: Customized Control of Container Resources.

Tianlin Li, Kartik Gopalan, Ping Yang

Proceedings of the IEEE International Conference on Cloud Engineering, 2019

2018

A Sort-based Interest Matching Algorithm with two Exclusive Judging conditions for Region Overlap.

Tianlin Li, Wenjie Tang, Yiping Yao, Feng Zhu

Proceedings of the 2018 Winter Simulation Conference, 2018

A Binary Search Enhanced Sort-based Interest Matching Algorithm.

Tianlin Li, Wenjie Tang, Yiping Yao, Feng Zhu

Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2018

2017

A work-stealing based dynamic load balancing algorithm for conservative parallel discrete event simulation.

Wenjie Tang, Yiping Yao, Feng Zhu, Tianlin Li, Xiao Song

Proceedings of the 2017 Winter Simulation Conference, 2017

An Optimized Memory Management Algorithm for Realtime Simulation on Linux Operation System.

Miao Zhang, Zhiwen Jiang, Yiping Yao, Tianlin Li

Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques, 2017

Performance Exploration for high Performance Simulation in Lightweight-Virtualization-Based Cloud.

Feng Yao, Yiping Yao, Sirui Bao, Dong Meng, Jiawei Fei, Tianlin Li

Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

A Hybrid Pedestrian Motion Modeling Approach for Crowd Simulation.

Tianlin Li, Yiping Yao, Wenjie Tang, Feng Yao

Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

Security Analysis of Email Systems.

Tianlin Li, Amish Mehta, Ping Yang

Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

2015

Privacy-preserving Virtual Machine.

Tianlin Li, Yaohui Hu, Ping Yang, Kartik Gopalan

Proceedings of the 31st Annual Computer Security Applications Conference, 2015

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, Kartik Gopalan

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2013

An Application-Level Approach for Privacy-Preserving Virtual Machine Checkpointing.

Yaohui Hu, Tianlin Li, Ping Yang, Kartik Gopalan

Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013