Yu Li

62 papers A* 12A 5B 4Misc 1Journal 35Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Novel Approach to Reducing Testing Costs and Minimizing Defect Escapes Using Dynamic Neighborhood Range and Shapley Values.
ACM Trans. Design Autom. Electr. Syst.
Tianming Ni, Wangsheng Rui, Cheng Zhuo, Yu Li, Xiaoqing Wen, Mu Nie
2026 J jnl
FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA.
CoRR
Zhengrui Chen, Zixuan Song, Yu Li, Qi Sun, Cheng Zhuo
2026 J jnl
SPLAT: Revisiting Latency Attack on Dynamic Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yu Li, Biao Huang, Jinyin Hu, Cheng Zhuo
2026 J jnl
Stop Rewarding Hallucinated Steps: Faithfulness-Aware Step-Level Reinforcement Learning for Small Reasoning Models.
CoRR
Shuo Nie, Hexuan Deng, Chao Wang, Ruiyu Fang, Xuebo Liu, Shuangyong Song, Yu Li, Min Zhang, Xuelong Li
2026 J jnl
TNT: A Large-Scale P2P Botnet Detection Framework via Communication Topology and Network Traffic.
IEEE Trans. Netw.
Ziming Zhao, Zhaoxuan Li, Tingting Li, Zhijian Xu, Yu Li, Qiang Xu, Fan Zhang
2026 J jnl
Toward efficient testing of graph neural networks via test input prioritization.
Autom. Softw. Eng.
Lichen Yang, Qiang Wang, Zhonghao Yang, Daojing He, Yu Li
2025 J jnl
ArcGen: Generalizing Neural Backdoor Detection Across Diverse Architectures.
CoRR
Zhonghao Yang, Cheng Luo, Daojing He, Yiming Li, Yu Li
2025 J jnl
ArcGen: Generalizing Neural Backdoor Detection Across Diverse Architectures.
IEEE Trans. Inf. Forensics Secur.
Zhonghao Yang, Cheng Luo, Daojing He, Yiming Li, Yu Li
2025 — conf
CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task.
EMNLP (Findings)
Haosi Mo, Xinyu Ma, Xuebo Liu, Derek F. Wong, Yu Li, Jie Liu, Min Zhang
2025 J jnl
CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task.
CoRR
Haosi Mo, Xinyu Ma, Xuebo Liu, Derek F. Wong, Yu Li, Jie Liu, Min Zhang
2025 J jnl
Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs.
CoRR
Tengyun Ma, Jiaqi Yao, Daojing He, Shihao Peng, Yu Li, Shaohui Liu, Zhuotao Tian
2025 A* conf
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models.
AAAI
Zhiheng Huang, Yannan Liu, Daojing He, Yu Li
2025 B conf
FDTest: Prioritizing Test Inputs for Object Detection Models via Foundation Model Exploitation.
IJCNN
Chong Zhang, Qiuxia Lai, Yu Li
2025 A* conf
Function-to-Style Guidance of LLMs for Code Translation.
ICML
Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang, Hao Yang, Meishan Zhang, Yu Li, Jing Li, Jun Yu, Min Zhang
2025 J jnl
Function-to-Style Guidance of LLMs for Code Translation.
CoRR
Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang, Hao Yang, Meishan Zhang, Yu Li, Jing Li, Jun Yu, Min Zhang
2025 — conf
MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming.
ACL (1)
Weiyang Guo, Jing Li, Wenya Wang, Yu Li, Daojing He, Jun Yu, Min Zhang
2025 J jnl
MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming.
CoRR
Weiyang Guo, Jing Li, Wenya Wang, Yu Li, Daojing He, Jun Yu, Min Zhang
2025 A* conf
One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs.
ICLR
Linbao Li, Yannan Liu, Daojing He, Yu Li
2025 J jnl
One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs.
CoRR
Linbao Li, Yannan Liu, Daojing He, Yu Li
2025 J jnl
SWA-LDM: Toward Stealthy Watermarks for Latent Diffusion Models.
CoRR
Zhonghao Yang, Linye Lyu, Xuanhang Chang, Daojing He, Yu Li
2025 J jnl
SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain.
CoRR
Jiawei Zhou, Linye Lyu, Zhuotao Tian, Cheng Zhuo, Yu Li
2025 — conf
Safety Alignment via Constrained Knowledge Unlearning.
ACL (1)
Zesheng Shi, Yucheng Zhou, Jing Li, Yuxin Jin, Yu Li, Daojing He, Fangming Liu, Saleh Alharbi, Jun Yu, Min Zhang
2025 J jnl
Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization.
CoRR
Lichen Yang, Qiang Wang, Zhonghao Yang, Daojing He, Yu Li
2025 J jnl
Toward Robust and Accurate Adversarial Camouflage Generation Against Vehicle Detectors.
IEEE Trans. Dependable Secur. Comput.
Jiawei Zhou, Linye Lyu, Daojing He, Yu Li
2024 A* conf
CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors.
NeurIPS
Linye Lyu, Jiawei Zhou, Daojing He, Yu Li
2024 J jnl
CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors.
CoRR
Linye Lyu, Jiawei Zhou, Daojing He, Yu Li
2024 B conf
Enhancing Flow Embedding Through Trace: A Novel Self-supervised Approach for Encrypted Traffic Classification.
IJCNN
Zefei Luo, Yu Li, Shuaishuai Tan, Daojing He
2024 J jnl
On Function-Coupled Watermarks for Deep Neural Networks.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Xiangyu Wen, Yu Li, Wei Jiang, Qiang Xu
2024 A* conf
RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation.
ICML
Jiawei Zhou, Linye Lyu, Daojing He, Yu Li
2024 J jnl
RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation.
CoRR
Jiawei Zhou, Linye Lyu, Daojing He, Yu Li
2024 J jnl
Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades.
IEEE Trans. Circuits Syst. Video Technol.
Qiuxia Lai, Ailing Zeng, Ye Wang, Lihong Cao, Yu Li, Qiang Xu
2024 J jnl
Spatial attention for human-centric visual understanding: An Information Bottleneck method.
Comput. Vis. Image Underst.
Qiuxia Lai, Yongwei Nie, Yu Li, Hanqiu Sun, Qiang Xu
2024 J jnl
Toward Robust and Accurate Adversarial Camouflage Generation against Vehicle Detectors.
CoRR
Jiawei Zhou, Linye Lyu, Daojing He, Yu Li
2024 A* conf
Vector Quantization Prompting for Continual Learning.
NeurIPS
Li Jiao, Qiuxia Lai, Yu Li, Qiang Xu
2024 J jnl
Vector Quantization Prompting for Continual Learning.
CoRR
Li Jiao, Qiuxia Lai, Yu Li, Qiang Xu
2023 — conf
EXPERT: EXPloiting DRAM ERror Types to Improve the Effective Forecasting Coverage in the Field.
DSN-S
Xiangjun Peng, Zheng Huang, Alex Cantrell, Bihua Shu, Ke Ke Xie, Yi Li, Yu Li, Li Jiang, Qiang Xu, Ming-Chang Yang
2023 A* conf
HiBug: On Human-Interpretable Model Debug.
NeurIPS
Muxi Chen, Yu Li, Qiang Xu
2023 J jnl
On Function-Coupled Watermarks for Deep Neural Networks.
CoRR
Xiangyu Wen, Yu Li, Wei Jiang, Qiang Xu
2023 A conf
Towards Robust Deep Neural Networks Against Design-Time and Run-Time Failures.
ITC
Yu Li, Qiang Xu
2022 J jnl
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification.
CoRR
Yu Li, Muxi Chen, Yannan Liu, Daojing He, Qiang Xu
2022 A conf
HybridRepair: towards annotation-efficient repair for deep learning models.
ISSTA
Yu Li, Muxi Chen, Qiang Xu
2022 A* conf
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction.
NDSS
Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu
2022 J jnl
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction.
CoRR
Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu
2021 A* conf
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference.
DAC
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
2021 J jnl
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference.
CoRR
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
2021 A* conf
Information Bottleneck Approach to Spatial Attention Learning.
IJCAI
Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu
2021 J jnl
Information Bottleneck Approach to Spatial Attention Learning.
CoRR
Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu
2021 J jnl
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis.
CoRR
Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu
2021 Misc conf
On Workload-Aware DRAM Failure Prediction in Large-Scale Data Centers.
VTS
Xingyi Wang, Yu Li, Yiquan Chen, Shiwen Wang, Yin Du, Cheng He, Yuzhong Zhang, Pinan Chen, Xin Li, Wenjun Song, Qiang Xu, Li Jiang
2021 A* conf
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks.
NeurIPS
Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu
2021 J jnl
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks.
CoRR
Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu
2020 A* conf
DeepDyve: Dynamic Verification for Deep Neural Networks.
CCS
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu
2020 J jnl
DeepDyve: Dynamic Verification for Deep Neural Networks.
CoRR
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu
2020 — conf
On Configurable Defense against Adversarial Example Attacks.
ACM Great Lakes Symposium on VLSI
Bo Luo, Min Li, Yu Li, Qiang Xu
2019 A conf
D2NN: a fine-grained dual modular redundancy framework for deep neural networks.
ACSAC
Yu Li, Yannan Liu, Min Li, Ye Tian, Bo Luo, Qiang Xu
2019 A conf
On Functional Test Generation for Deep Neural Network IPs.
DATE
Bo Luo, Yu Li, Lingxiao Wei, Qiang Xu
2019 J jnl
On Functional Test Generation for Deep Neural Network IPs.
CoRR
Bo Luo, Yu Li, Lingxiao Wei, Qiang Xu
2019 B conf
Sample-Efficient Policy Learning based on Completely Behavior Cloning.
SMC
Qiming Zou, Ling Wang, Yu Li, Jie Liu
2018 A conf
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators.
ACSAC
Lingxiao Wei, Bo Luo, Yu Li, Yannan Liu, Qiang Xu
2018 J jnl
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators.
CoRR
Lingxiao Wei, Yannan Liu, Bo Luo, Yu Li, Qiang Xu
2018 B conf
IEEE Std P1838's flexible parallel port and its specification with Google's protocol buffers.
ETS
Yu Li, Ming Shao, Hailong Jiao, Adam Cron, Sandeep Bhatia, Erik Jan Marinissen
2018 J jnl
On Configurable Defense against Adversarial Example Attacks.
CoRR
Bo Luo, Min Li, Yu Li, Qiang Xu