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Tianlin Li
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2020 – today
- 2024
- [j12]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. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4057-4068 (2024) - [j11]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: 6785-6798 (2024) - [j10]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): 21:1-21:24 (2024) - [c25]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: 12528-12537 - [c24]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: 21169-21178 - [c23]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: 17205-17216 - [c22]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: 12-23 - [c21]Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo:
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. ICLR 2024 - [c20]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 - [c19]Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu:
Improving Neural Logic Machines via Failure Reflection. ICML 2024 - [c18]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: 9:1-9:13 - [i25]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 abs/2401.06391 (2024) - [i24]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 abs/2402.02738 (2024) - [i23]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 abs/2402.03705 (2024) - [i22]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 abs/2402.12150 (2024) - [i21]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 abs/2402.14480 (2024) - [i20]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 abs/2402.14845 (2024) - [i19]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 abs/2403.13355 (2024) - [i18]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 abs/2404.12850 (2024) - [i17]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 abs/2405.18003 (2024) - [i16]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 abs/2407.20281 (2024) - [i15]Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao:
Compromising Embodied Agents with Contextual Backdoor Attacks. CoRR abs/2408.02882 (2024) - [i14]Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu:
Perception-guided Jailbreak against Text-to-Image Models. CoRR abs/2408.10848 (2024) - [i13]Shide Zhou, Tianlin Li, Kailong Wang, Yihao Huang, Ling Shi, Yang Liu, Haoyu Wang:
Investigating Coverage Criteria in Large Language Models: An In-Depth Study Through Jailbreak Attacks. CoRR abs/2408.15207 (2024) - [i12]Jiachen Zhou, Mingsi Wang, Tianlin Li, Guozhu Meng, Kai Chen:
Dormant: Defending against Pose-driven Human Image Animation. CoRR abs/2409.14424 (2024) - [i11]Anran Li, Yuanyuan Chen, Chao Ren, Wenhan Wang, Ming Hu, Tianlin Li, Han Yu, Qingyu Chen:
Federated Graph Learning with Adaptive Importance-based Sampling. CoRR abs/2409.14655 (2024) - [i10]Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu:
Speculative Coreset Selection for Task-Specific Fine-tuning. CoRR abs/2410.01296 (2024) - 2023
- [c17]Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu:
FAIRER: Fairness as Decision Rationale Alignment. ICML 2023: 19471-19489 - [c16]Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu:
Fairness via Group Contribution Matching. IJCAI 2023: 436-445 - [c15]Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu:
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. ISSTA 2023: 829-841 - [c14]Jian Zhang, Shangqing Liu, Xu Wang, Tianlin Li, Yang Liu:
Learning to Locate and Describe Vulnerabilities. ASE 2023: 332-344 - [i9]Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu:
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. CoRR abs/2305.11602 (2023) - [i8]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 abs/2305.16220 (2023) - [i7]Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu:
FAIRER: Fairness as Decision Rationale Alignment. CoRR abs/2306.15299 (2023) - [i6]Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo:
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. CoRR abs/2310.11890 (2023) - [i5]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 abs/2312.10766 (2023) - 2022
- [j9]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): 47:1-47:27 (2022) - [i4]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 abs/2201.07381 (2022) - [i3]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 abs/2203.12915 (2022) - 2021
- [j8]Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, Xiaofei Xie:
Understanding adversarial robustness via critical attacking route. Inf. Sci. 547: 568-578 (2021) - [j7]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): 1904-1937 (2021) - [j6]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: 1291-1304 (2021) - 2020
- [j5]Tianlin Li, Yiping Yao, Wenjie Tang, Feng Zhu, Zhongwei Lin:
An efficient multi-threaded memory allocator for PDES applications. Simul. Model. Pract. Theory 100: 102067 (2020) - [j4]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): 12:1-12:26 (2020) - [c13]Ruofan Liang, Tianlin Li, Longfei Li, Jing Wang, Quanshi Zhang:
Knowledge Consistency between Neural Networks and Beyond. ICLR 2020
2010 – 2019
- 2019
- [j3]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) - [j2]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): 357-370 (2019) - [j1]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: 78-95 (2019) - [c12]Tianlin Li, Kartik Gopalan, Ping Yang:
ContainerVisor: Customized Control of Container Resources. IC2E 2019: 190-199 - [c11]Tianlin Li, Yiping Yao, Wenjie Tang, Zhongwei Lin:
HMalloc: A Hybrid, Scalable, and Lock-Free Memory Allocator for Multi-Threaded Applications. ICPADS 2019: 406-409 - [i2]Ruofan Liang, Tianlin Li, Longfei Li, Quanshi Zhang:
Knowledge Isomorphism between Neural Networks. CoRR abs/1908.01581 (2019) - [i1]Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li:
Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. CoRR abs/1909.06978 (2019) - 2018
- [c10]Tianlin Li, Wenjie Tang, Yiping Yao, Feng Zhu:
A Binary Search Enhanced Sort-based Interest Matching Algorithm. SIGSIM-PADS 2018: 125-128 - [c9]Tianlin Li, Wenjie Tang, Yiping Yao, Feng Zhu:
A Sort-based Interest Matching Algorithm with two Exclusive Judging conditions for Region Overlap. WSC 2018: 2167-2178 - 2017
- [c8]Tianlin Li, Amish Mehta, Ping Yang:
Security Analysis of Email Systems. CSCloud 2017: 91-96 - [c7]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: 17-21 - [c6]Tianlin Li, Yiping Yao, Wenjie Tang, Feng Yao:
A Hybrid Pedestrian Motion Modeling Approach for Crowd Simulation. ISCID (1) 2017: 103-107 - [c5]Miao Zhang, Zhiwen Jiang, Yiping Yao, Tianlin Li:
An Optimized Memory Management Algorithm for Realtime Simulation on Linux Operation System. SimuTools 2017: 57-62 - [c4]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: 798-809 - 2015
- [c3]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: 613-620 - [c2]Tianlin Li, Yaohui Hu, Ping Yang, Kartik Gopalan:
Privacy-preserving Virtual Machine. ACSAC 2015: 231-240 - 2013
- [c1]Yaohui Hu, Tianlin Li, Ping Yang, Kartik Gopalan:
An Application-Level Approach for Privacy-Preserving Virtual Machine Checkpointing. IEEE CLOUD 2013: 59-66
Coauthor Index
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last updated on 2024-11-22 19:43 CET by the dblp team
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