Tianlin Li

Orcid: 0009-0000-0307-2649

According to our database1, Tianlin Li authored at least 104 papers between 2013 and 2026.

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Timeline

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Bibliography

2026
Mambacod: Mamba network combining frequency-domain perception and edge refinement for camouflaged object detection.
Multim. Syst., August, 2026

Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs.
CoRR, May, 2026

Same Signal, Different Semantics: A Cross-Framework Behavioral Analysis of Software Engineering Agents.
CoRR, May, 2026

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic.
CoRR, May, 2026

Hidden Reliability Risks in Large Language Models: Systematic Identification of Precision-Induced Output Disagreements.
CoRR, April, 2026

How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic Study.
CoRR, April, 2026

Predicting Program Correctness By Ensemble Semantic Entropy.
CoRR, March, 2026

Verify Claimed Text-to-Image Models via Boundary-Aware Prompt Optimization.
CoRR, March, 2026

Inductance-Based Force Self-Sensing in Fiber-Reinforced Pneumatic Twisted-and-Coiled Actuators.
CoRR, March, 2026

Uncovering Security Threats and Architecting Defenses in Autonomous Agents: A Case Study of OpenClaw.
CoRR, March, 2026

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization.
CoRR, March, 2026

ODAR: Principled Adaptive Routing for LLM Reasoning via Active Inference.
CoRR, February, 2026

An Empirical Study of Bugs in Modern LLM Agent Frameworks.
CoRR, February, 2026

NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-Level Semantic Slicing.
ACM Trans. Softw. Eng. Methodol., January, 2026

JailGuard: A Universal Detection Framework for Prompt-based Attacks on LLM Systems.
ACM Trans. Softw. Eng. Methodol., January, 2026

FOOLSDEDIT: Deceptively Steering Your Edits Towards Targeted Attribute-Aware Distribution.
IEEE Trans. Dependable Secur. Comput., 2026

A survey on physical adversarial attacks against face recognition systems.
Neurocomputing, 2026

Parameter-efficient fine-tuning for no-reference image quality assessment: Empirical studies on vision transformer.
Displays, 2026

OptiCo: Adaptive Distributed Training Optimization via Collaborative Agent Reasoning.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
RoboSafe: Safeguarding Embodied Agents via Executable Safety Logic.
CoRR, December, 2025

OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation.
CoRR, December, 2025

Knowledge-Guided Multi-Agent Framework for Application-Level Software Code Generation.
CoRR, October, 2025

Exploring the Power of Diffusion Large Language Models for Software Engineering: An Empirical Investigation.
CoRR, October, 2025

CodeChemist: Functional Knowledge Transfer for Low-Resource Code Generation via Test-Time Scaling.
CoRR, October, 2025

Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation.
ACM Trans. Softw. Eng. Methodol., September, 2025

Rethinking Technology Stack Selection with AI Coding Proficiency.
CoRR, September, 2025

Rethinking Testing for LLM Applications: Characteristics, Challenges, and a Lightweight Interaction Protocol.
CoRR, August, 2025

Your Coding Intent is Secretly in the Context and You Should Deliberately Infer It Before Completion.
CoRR, August, 2025

MASteer: Multi-Agent Adaptive Steer Strategy for End-to-End LLM Trustworthiness Repair.
CoRR, August, 2025

Investigating Training Data Detection in AI Coders.
CoRR, July, 2025

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity.
CoRR, May, 2025

TokenProber: Jailbreaking Text-to-image Models via Fine-grained Word Impact Analysis.
CoRR, May, 2025

Benchmarking and Revisiting Code Generation Assessment: A Mutation-Based Approach.
CoRR, May, 2025

Software Development Life Cycle Perspective: A Survey of Benchmarks for Code Large Language Models and Agents.
CoRR, May, 2025

A Vision for Auto Research with LLM Agents.
CoRR, April, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.
CoRR, April, 2025

Compromising LLM Driven Embodied Agents With Contextual Backdoor Attacks.
IEEE Trans. Inf. Forensics Secur., 2025

Software Fairness Dilemma: Is Bias Mitigation a Zero-Sum Game?
Proc. ACM Softw. Eng., 2025

MH-FFNet: Leveraging mid-high frequency information for robust fine-grained face forgery detection.
Expert Syst. Appl., 2025

Dormant: Defending against Pose-driven Human Image Animation.
Proceedings of the 34th USENIX Security Symposium, 2025

SACL: Semantics-Aware Contrastive Learning for One-Shot Medical Image Segmentation.
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.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks.
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.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

An Analytical Perspective on Software Engineering for Large Language Models.
Proceedings of the Engineering of Complex Computer Systems - 29th International Conference, 2025

Foundation Model-Guided Pseudo-Labeling for Computed Tomography-Based Segmentation of Masticatory Muscles.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Perception-Guided Jailbreak Against Text-to-Image Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis.
ACM Trans. Softw. Eng. Methodol., January, 2024

Improving Deepfake Detection Generalization by Invariant Risk Minimization.
IEEE Trans. Multim., 2024

Benchmarking Bias in Large Language Models during Role-Playing.
CoRR, 2024

Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework.
CoRR, 2024

Speculative Coreset Selection for Task-Specific Fine-tuning.
CoRR, 2024

Federated Graph Learning with Adaptive Importance-based Sampling.
CoRR, 2024

Investigating Coverage Criteria in Large Language Models: An In-Depth Study Through Jailbreak Attacks.
CoRR, 2024

Compromising Embodied Agents with Contextual Backdoor Attacks.
CoRR, 2024

MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling.
CoRR, 2024

Purifying Large Language Models by Ensembling a Small Language Model.
CoRR, 2024

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One.
CoRR, 2024

Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective.
CoRR, 2024

SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Improving Neural Logic Machines via Failure Reflection.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

BadEdit: Backdooring Large Language Models by Model Editing.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation.
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.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

FedMut: Generalized Federated Learning via Stochastic Mutation.
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.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection.
CoRR, 2023

On the Robustness of Segment Anything.
CoRR, 2023

Learning to Locate and Describe Vulnerabilities.
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.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Fairness via Group Contribution Matching.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

FAIRER: Fairness as Decision Rationale Alignment.
Proceedings of the International Conference on Machine Learning, 2023

2022
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks.
ACM Trans. Softw. Eng. Methodol., 2022

Unveiling Project-Specific Bias in Neural Code Models.
CoRR, 2022

2021
Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity.
IEEE Trans. Image Process., 2021

Video Question Answering: a Survey of Models and Datasets.
Mob. Networks Appl., 2021

Understanding adversarial robustness via critical attacking route.
Inf. Sci., 2021

2020
An Adaptive Persistence and Work-stealing Combined Algorithm for Load Balancing on Parallel Discrete Event Simulation.
ACM Trans. Model. Comput. Simul., 2020

An efficient multi-threaded memory allocator for PDES applications.
Simul. Model. Pract. Theory, 2020

Knowledge Consistency between Neural Networks and Beyond.
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.
Simul. Model. Pract. Theory, 2019

An intelligent scheduling algorithm for complex manufacturing system simulation with frequent synchronizations in a cloud environment.
Memetic Comput., 2019

Interpreting and Improving Adversarial Robustness with Neuron Sensitivity.
CoRR, 2019

Knowledge Isomorphism between Neural Networks.
CoRR, 2019

An efficient virtual machine allocation algorithm for parallel and distributed simulation applications.
Concurr. Comput. Pract. Exp., 2019

HMalloc: A Hybrid, Scalable, and Lock-Free Memory Allocator for Multi-Threaded Applications.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

ContainerVisor: Customized Control of Container Resources.
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.
Proceedings of the 2018 Winter Simulation Conference, 2018

A Binary Search Enhanced Sort-based Interest Matching Algorithm.
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.
Proceedings of the 2017 Winter Simulation Conference, 2017

An Optimized Memory Management Algorithm for Realtime Simulation on Linux Operation System.
Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques, 2017

Performance Exploration for high Performance Simulation in Lightweight-Virtualization-Based Cloud.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

A Hybrid Pedestrian Motion Modeling Approach for Crowd Simulation.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

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

2015
Privacy-preserving Virtual Machine.
Proceedings of the 31st Annual Computer Security Applications Conference, 2015

Performance Analysis of Encryption in Securing the Live Migration of Virtual Machines.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2013
An Application-Level Approach for Privacy-Preserving Virtual Machine Checkpointing.
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013


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