Linyi Li - RankMe

64 papers A* 23A 2Misc 1Journal 35Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Empirical Study and Theoretical Explanation on Task-Level Model-Merging Collapse. CoRR Yuan Cao, Dezhi Ran, Yuzhe Guo, Mengzhou Wu, Simin Chen, Linyi Li, Wei Yang, Tao Xie
2026	J	`jnl`	GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training. CoRR Yuan Cao, Dezhi Ran, Mengzhou Wu, Yuzhe Guo, Xin Chen, Ang Li, Gang Cao, Gong Zhi, Hao Yu, Linyi Li, Wei Yang, Tao Xie
2025	J	`jnl`	AppForge: From Assistant to Independent Developer - Are GPTs Ready for Software Development? CoRR Dezhi Ran, Yuan Cao, Mengzhou Wu, Simin Chen, Yuzhe Guo, Jun Ren, Zihe Song, Hao Yu, Jialei Wei, Linyi Li, Wei Yang, Baishakhi Ray, Tao Xie
2025	A*	`conf`	COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks. AAAI Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li
2025	J	`jnl`	Data and System Perspectives of Sustainable Artificial Intelligence. CoRR Tao Xie, David Harel, Dezhi Ran, Zhenwen Li, Maoliang Li, Zhi Yang, Leye Wang, Xiang Chen, Ying Zhang, Wentao Zhang, Meng Li, Chen Zhang, Linyi Li, Assaf Marron
2025	J	`jnl`	KernelBand: Boosting LLM-based Kernel Optimization with a Hierarchical and Hardware-aware Multi-armed Bandit. CoRR Dezhi Ran, Shuxiao Xie, Mingfang Ji, Ziyue Hua, Mengzhou Wu, Yuan Cao, Yuzhe Guo, Hao Yu, Linyi Li, Yitao Hu, Tao Xie
2025	A*	`conf`	Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study. AAAI Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2025	J	`jnl`	The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-Based Code Generation. Proc. ACM Softw. Eng. Yingjie Fu, Bozhou Li, Linyi Li, Wentao Zhang, Tao Xie
2024	A*	`conf`	COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. ICLR Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li
2024	J	`jnl`	COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. CoRR Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li
2024	J	`jnl`	COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks. CoRR Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li
2024	A*	`conf`	Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing. ICML Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li
2024	J	`jnl`	Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing. CoRR Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li
2024	A*	`conf`	InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models. NeurIPS Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang
2024	J	`jnl`	InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models. CoRR Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang
2024	A	`conf`	Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. AISTATS Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
2024	J	`jnl`	The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-based Code Generation. CoRR Yingjie Fu, Bozhou Li, Linyi Li, Wentao Zhang, Tao Xie
2023	—	`conf`	CARE: Certifiably Robust Learning with Reasoning via Variational Inference. SaTML Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li
2023	J	`jnl`	Can Pruning Improve Certified Robustness of Neural Networks? Trans. Mach. Learn. Res. Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2023	—	`conf`	FaShapley: Fast and Approximated Shapley Based Model Pruning Towards Certifiably Robust DNNs. SaTML Mintong Kang, Linyi Li, Bo Li
2023	J	`jnl`	Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. CoRR Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
2023	A*	`conf`	Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects. ICSE Linyi Li, Yuhao Zhang, Luyao Ren, Yingfei Xiong, Tao Xie
2023	J	`jnl`	Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects. CoRR Linyi Li, Yuhao Zhang, Luyao Ren, Yingfei Xiong, Tao Xie
2023	A*	`conf`	SoK: Certified Robustness for Deep Neural Networks. SP Linyi Li, Tao Xie, Bo Li
2022	J	`jnl`	CARE: Certifiably Robust Learning with Reasoning via Variational Inference. CoRR Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li
2022	A*	`conf`	COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. ICLR Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li
2022	J	`jnl`	COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. CoRR Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li
2022	A*	`conf`	CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. ICLR Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li
2022	J	`jnl`	Can pruning improve certified robustness of neural networks? CoRR Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2022	A*	`conf`	Certifying Out-of-Domain Generalization for Blackbox Functions. ICML Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
2022	J	`jnl`	Certifying Out-of-Domain Generalization for Blackbox Functions. CoRR Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
2022	A*	`conf`	Certifying Some Distributional Fairness with Subpopulation Decomposition. NeurIPS Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
2022	J	`jnl`	Certifying Some Distributional Fairness with Subpopulation Decomposition. CoRR Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
2022	A*	`conf`	Double Sampling Randomized Smoothing. ICML Linyi Li, Jiawei Zhang, Tao Xie, Bo Li
2022	J	`jnl`	Double Sampling Randomized Smoothing. CoRR Linyi Li, Jiawei Zhang, Tao Xie, Bo Li
2022	J	`jnl`	FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data. CoRR Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li
2022	A*	`conf`	Fairness in Federated Learning via Core-Stability. NeurIPS Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
2022	J	`jnl`	Fairness in Federated Learning via Core-Stability. CoRR Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
2022	A*	`conf`	General Cutting Planes for Bound-Propagation-Based Neural Network Verification. NeurIPS Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
2022	J	`jnl`	General Cutting Planes for Bound-Propagation-Based Neural Network Verification. CoRR Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
2022	A*	`conf`	Improving Certified Robustness via Statistical Learning with Logical Reasoning. NeurIPS Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li
2022	A*	`conf`	LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness. NeurIPS Xiaojun Xu, Linyi Li, Bo Li
2022	J	`jnl`	LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness. CoRR Xiaojun Xu, Linyi Li, Bo Li
2022	A*	`conf`	On the Certified Robustness for Ensemble Models and Beyond. ICLR Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li
2022	Misc	`conf`	Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRL Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
2022	J	`jnl`	Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRR Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
2022	A*	`conf`	SAPIENTML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions. ICSE Ripon K. Saha, Akira Ura, Sonal Mahajan, Chenguang Zhu, Linyi Li, Yang Hu, Hiroaki Yoshida, Sarfraz Khurshid, Mukul R. Prasad
2022	J	`jnl`	SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions. CoRR Ripon K. Saha, Akira Ura, Sonal Mahajan, Chenguang Zhu, Linyi Li, Yang Hu, Hiroaki Yoshida, Sarfraz Khurshid, Mukul R. Prasad
2022	A*	`conf`	TPC: Transformation-Specific Smoothing for Point Cloud Models. ICML Wenda Chu, Linyi Li, Bo Li
2022	J	`jnl`	TPC: Transformation-Specific Smoothing for Point Cloud Models. CoRR Wenda Chu, Linyi Li, Bo Li
2021	J	`jnl`	CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. CoRR Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li
2021	A	`conf`	Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks. AISTATS Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li
2021	J	`jnl`	Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks. CoRR Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li
2021	J	`jnl`	On the Certified Robustness for Ensemble Models and Beyond. CoRR Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li
2021	A*	`conf`	Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation. ICML Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li
2021	J	`jnl`	Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation. CoRR Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li
2021	J	`jnl`	TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness. CoRR Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li
2021	A*	`conf`	TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness. NeurIPS Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li
2021	A*	`conf`	TSS: Transformation-Specific Smoothing for Robustness Certification. CCS Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li
2020	—	`conf`	Clustering test steps in natural language toward automating test automation. ESEC/SIGSOFT FSE Linyi Li, Zhenwen Li, Weijie Zhang, Jun Zhou, Pengcheng Wang, Jing Wu, Guanghua He, Xia Zeng, Yuetang Deng, Tao Xie
2020	J	`jnl`	On the Limitations of Denoising Strategies as Adversarial Defenses. CoRR Zhonghan Niu, Zhaoxi Chen, Linyi Li, Yubin Yang, Bo Li, Jinfeng Yi
2020	J	`jnl`	Provable Robust Learning Based on Transformation-Specific Smoothing. CoRR Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li
2020	J	`jnl`	SoK: Certified Robustness for Deep Neural Networks. CoRR Linyi Li, Xiangyu Qi, Tao Xie, Bo Li
2019	A*	`conf`	Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space. IJCAI Linyi Li, Zexuan Zhong, Bo Li, Tao Xie