Tianlin Li

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 51

Top Topics

Matching Algorithm

Dynamic Load Balancing

Top Venues

Simul. Model. Pract. Theory

ACM Trans. Softw. Eng. Methodol.

Publications

Tianlin Li, Qian Liu, Tianyu Pang, Chao Du, Qing Guo, Yang Liu, Min Lin
Purifying Large Language Models by Ensembling a Small Language Model. CoRR (2024)
Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. ICLR (2024)
Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu
Improving Deepfake Detection Generalization by Invariant Risk Minimization. IEEE Trans. Multim. 26 (2024)
Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. AAAI (2024)
Tianlin Li, Yue Cao, Jian Zhang, Shiqian Zhao, Yihao Huang, Aishan Liu, Qing Guo, Yang Liu
RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness. ICSE (2024)
Qi Zhou, Dongxia Wang, Tianlin Li, Zhihong Xu, Yang Liu, Kui Ren, Wenhai Wang, Qing Guo
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution. CoRR (2024)
Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu
BadEdit: Backdooring Large Language Models by Model Editing. ICLR (2024)
Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu
Unveiling Project-Specific Bias in Neural Code Models. LREC/COLING (2024)
Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu
BadEdit: Backdooring large language models by model editing. CoRR (2024)
Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu
FedMut: Generalized Federated Learning via Stochastic Mutation. AAAI (2024)
Chong Wang, Jian Zhang, Yebo Feng, Tianlin Li, Weisong Sun, Yang Liu, Xin Peng
Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation. CoRR (2024)
Tianlin Li, Xiaoyu Zhang, Chao Du, Tianyu Pang, Qian Liu, Qing Guo, Chao Shen, Yang Liu
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One. CoRR (2024)
Shide Zhou, Tianlin Li, Yihao Huang, Ling Shi, Kailong Wang, Yang Liu, Haoyu Wang
NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing. CoRR (2024)
Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. CoRR (2024)
Guanyu Wang, Yuekang Li, Yi Liu, Gelei Deng, Tianlin Li, Guosheng Xu, Yang Liu, Haoyu Wang, Kailong Wang
MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation. CoRR (2024)
Guanyu Wang, Yuekang Li, Yi Liu, Gelei Deng, Tianlin Li, Guosheng Xu, Yang Liu, Haoyu Wang, Kailong Wang
MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation. FORGE (2024)
Bowen Zhang, Xiaofei Xie, Haotian Lu, Na Ma, Tianlin Li, Qing Guo
MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling. CoRR (2024)
Tianlin Li, Xiaofei Xie, Jian Wang, Qing Guo, Aishan Liu, Lei Ma, Yang Liu
Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Yihao Huang, Kaiyuan Yu, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Tianlin Li, Geguang Pu, Yang Liu
Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective. CoRR (2024)
Yihao Huang, Yue Cao, Tianlin Li, Felix Juefei-Xu, Di Lin, Ivor W. Tsang, Yang Liu, Qing Guo
On the Robustness of Segment Anything. CoRR (2023)
Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu
FAIRER: Fairness as Decision Rationale Alignment. CoRR (2023)
Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. ISSTA (2023)
Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. CoRR (2023)
Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu
FAIRER: Fairness as Decision Rationale Alignment. ICML (2023)
Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu
Fairness via Group Contribution Matching. IJCAI (2023)
Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Xiaofei Xie, Yang Liu, Chao Shen
A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection. CoRR (2023)
Jian Zhang, Shangqing Liu, Xu Wang, Tianlin Li, Yang Liu
Learning to Locate and Describe Vulnerabilities. ASE (2023)
Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. CoRR (2023)
Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, Yang Liu
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. CoRR (2022)
Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, Yang Liu
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 31 (3) (2022)
Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu
Unveiling Project-Specific Bias in Neural Code Models. CoRR (2022)
Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li
Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity. IEEE Trans. Image Process. 30 (2021)
Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, Xiaofei Xie
Understanding adversarial robustness via critical attacking route. Inf. Sci. 547 (2021)
Guanglu Sun, Lili Liang, Tianlin Li, Bo Yu, Meng Wu, Bolun Zhang
Video Question Answering: a Survey of Models and Datasets. Mob. Networks Appl. 26 (5) (2021)
Wenjie Tang, Yiping Yao, Tianlin Li, Xiao Song, Feng Zhu
An Adaptive Persistence and Work-stealing Combined Algorithm for Load Balancing on Parallel Discrete Event Simulation. ACM Trans. Model. Comput. Simul. 30 (2) (2020)
Tianlin Li, Yiping Yao, Wenjie Tang, Feng Zhu, Zhongwei Lin
An efficient multi-threaded memory allocator for PDES applications. Simul. Model. Pract. Theory 100 (2020)
Ruofan Liang, Tianlin Li, Longfei Li, Jing Wang, Quanshi Zhang
Knowledge Consistency between Neural Networks and Beyond. ICLR (2020)
Tianlin Li, Yiping Yao, Wenjie Tang, Zhongwei Lin
HMalloc: A Hybrid, Scalable, and Lock-Free Memory Allocator for Multi-Threaded Applications. ICPADS (2019)
Feng Yao, Yiping Yao, Huangke Chen, Tianlin Li, Menglong Lin, Xiaoxiong Zhang
An efficient virtual machine allocation algorithm for parallel and distributed simulation applications. Concurr. Comput. Pract. Exp. 31 (17) (2019)
Tianlin Li, Kartik Gopalan, Ping Yang
ContainerVisor: Customized Control of Container Resources. IC2E (2019)
Tianlin Li, Yiping Yao, Wenjie Tang, Feng Yao, Feng Zhu
An exponential search enhanced dynamic sort-based interest matching algorithm for interest management in distributed simulation. Simul. Model. Pract. Theory 95 (2019)
Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li
Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. CoRR (2019)
Feng Yao, Yiping Yao, Lining Xing, Huangke Chen, Zhongwei Lin, Tianlin Li
An intelligent scheduling algorithm for complex manufacturing system simulation with frequent synchronizations in a cloud environment. Memetic Comput. 11 (4) (2019)
Ruofan Liang, Tianlin Li, Longfei Li, Quanshi Zhang
Knowledge Isomorphism between Neural Networks. CoRR (2019)
Tianlin Li, Wenjie Tang, Yiping Yao, Feng Zhu
A Binary Search Enhanced Sort-based Interest Matching Algorithm. SIGSIM-PADS (2018)
Tianlin Li, Wenjie Tang, Yiping Yao, Feng Zhu
A Sort-based Interest Matching Algorithm with two Exclusive Judging conditions for Region Overlap. WSC (2018)
Feng Yao, Yiping Yao, Sirui Bao, Dong Meng, Jiawei Fei, Tianlin Li
Performance Exploration for high Performance Simulation in Lightweight-Virtualization-Based Cloud. ISCID (2) (2017)
Miao Zhang, Zhiwen Jiang, Yiping Yao, Tianlin Li
An Optimized Memory Management Algorithm for Realtime Simulation on Linux Operation System. SimuTools (2017)
Tianlin Li, Yiping Yao, Wenjie Tang, Feng Yao
A Hybrid Pedestrian Motion Modeling Approach for Crowd Simulation. ISCID (1) (2017)
Tianlin Li, Amish Mehta, Ping Yang
Security Analysis of Email Systems. CSCloud (2017)
Wenjie Tang, Yiping Yao, Feng Zhu, Tianlin Li, Xiao Song
A work-stealing based dynamic load balancing algorithm for conservative parallel discrete event simulation. WSC (2017)
Tianlin Li, Yaohui Hu, Ping Yang, Kartik Gopalan
Privacy-preserving Virtual Machine. ACSAC (2015)
Yaohui Hu, Sanket Panhale, Tianlin Li, Emine Kaynar, Danny Chan, Umesh Deshpande, Ping Yang, Kartik Gopalan
Performance Analysis of Encryption in Securing the Live Migration of Virtual Machines. CLOUD (2015)
Yaohui Hu, Tianlin Li, Ping Yang, Kartik Gopalan
An Application-Level Approach for Privacy-Preserving Virtual Machine Checkpointing. IEEE CLOUD (2013)