Yu Li

Orcid: 0000-0001-9122-5923

Affiliations:

Chinese University of Hong Kong, CURE, Hong Kong
KU Leuven, Group T, Belgium

According to our database¹, Yu Li authored at least 53 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

A Novel Approach to Reducing Testing Costs and Minimizing Defect Escapes Using Dynamic Neighborhood Range and Shapley Values.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., July, 2026

Toward efficient testing of graph neural networks via test input prioritization.

[BibT_eX]

[DOI]

Autom. Softw. Eng., June, 2026

Light Interaction: Training-Free Inference Acceleration for Interactive Video World Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

Benchmarks for Trajectory Safety Evaluation and Diagnosis in OpenClaw and Codex: ATBench-Claw and ATBench-Codex.

[BibT_eX]

[DOI]

CoRR, April, 2026

ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis.

[BibT_eX]

[DOI]

CoRR, April, 2026

FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA.

[BibT_eX]

[DOI]

CoRR, March, 2026

Stop Rewarding Hallucinated Steps: Faithfulness-Aware Step-Level Reinforcement Learning for Small Reasoning Models.

[BibT_eX]

[DOI]

CoRR, February, 2026

SPLAT: Revisiting Latency Attack on Dynamic Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2026

TNT: A Large-Scale P2P Botnet Detection Framework via Communication Topology and Network Traffic.

[BibT_eX]

[DOI]

IEEE Trans. Netw., 2026

VLM-Guard: Defending Jailbreaks by Monitoring Only Hundreds of Safety-Critical Neurons.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2026

2025

Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs.

[BibT_eX]

[DOI]

CoRR, December, 2025

FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets.

[BibT_eX]

[DOI]

CoRR, September, 2025

SilentStriker:Toward Stealthy Bit-Flip Attacks on Large Language Models.

[BibT_eX]

[DOI]

CoRR, September, 2025

Function-to-Style Guidance of LLMs for Code Translation.

[BibT_eX]

[DOI]

CoRR, July, 2025

SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain.

[BibT_eX]

[DOI]

CoRR, May, 2025

SWA-LDM: Toward Stealthy Watermarks for Latent Diffusion Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

ArcGen: Generalizing Neural Backdoor Detection Across Diverse Architectures.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Toward Robust and Accurate Adversarial Camouflage Generation Against Vehicle Detectors.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2025

Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FDTest: Prioritizing Test Inputs for Object Detection Models via Foundation Model Exploitation.

[BibT_eX]

[DOI]

Chong Zhang

Qiuxia Lai

Yu Li

Proceedings of the International Joint Conference on Neural Networks, 2025

Function-to-Style Guidance of LLMs for Code Translation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

AIR: Complex Instruction Generation via Automatic Iterative Refinement.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Safety Alignment via Constrained Knowledge Unlearning.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

On Function-Coupled Watermarks for Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2024

Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Spatial attention for human-centric visual understanding: An Information Bottleneck method.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2024

CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Vector Quantization Prompting for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Flow Embedding Through Trace: A Novel Self-supervised Approach for Encrypted Traffic Classification.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation.

[BibT_eX]

[DOI]

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

2023

HiBug: On Human-Interpretable Model Debug.

[BibT_eX]

[DOI]

Muxi Chen

Yu Li

Qiang Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Robust Deep Neural Networks Against Design-Time and Run-Time Failures.

[BibT_eX]

[DOI]

Yu Li

Qiang Xu

Proceedings of the IEEE International Test Conference, 2023

EXPERT: EXPloiting DRAM ERror Types to Improve the Effective Forecasting Coverage in the Field.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

2022

An Empirical Study on the Efficacy of Deep Active Learning for Image Classification.

[BibT_eX]

[DOI]

CoRR, 2022

What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction.

[BibT_eX]

[DOI]

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

HybridRepair: towards annotation-efficient repair for deep learning models.

[BibT_eX]

[DOI]

Yu Li

Muxi Chen

Qiang Xu

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021

MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis.

[BibT_eX]

[DOI]

CoRR, 2021

On Workload-Aware DRAM Failure Prediction in Large-Scale Data Centers.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE VLSI Test Symposium, 2021

TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Information Bottleneck Approach to Spatial Attention Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

On Configurable Defense against Adversarial Example Attacks.

[BibT_eX]

[DOI]

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

DeepDyve: Dynamic Verification for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

Sample-Efficient Policy Learning based on Completely Behavior Cloning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

On Functional Test Generation for Deep Neural Network IPs.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

D2NN: a fine-grained dual modular redundancy framework for deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Computer Security Applications Conference, 2019

2018

IEEE Std P1838's flexible parallel port and its specification with Google's protocol buffers.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE European Test Symposium, 2018

I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Computer Security Applications Conference, 2018

Yu Li

Timeline

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