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ORCIDLinyi Li 0001
Person information
- affiliation: Simon Fraser University, BC, Canada
- affiliation (former): University of Illinois Urbana-Champaign, IL, USA
- affiliation (former): Tsinghua University, China
Other persons with the same name
- Linyi Li — disambiguation page
- Linyi Li 0002
![[0000-0002-2185-8407]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2185-8407")
— Wuhan University, Wuhan, China
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2020 – today
- 2025
[i29]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:
Data and System Perspectives of Sustainable Artificial Intelligence. CoRR abs/2501.07487 (2025)- 2024
- [c27]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. AISTATS 2024: 217-225 - [c26]Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li:
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. ICLR 2024 - [c25]Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li:
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing. ICML 2024 - [c24]Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang:
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models. NeurIPS 2024 - [i28]Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li:
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks. CoRR abs/2403.02329 (2024) - [i27]Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li:
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. CoRR abs/2403.11348 (2024) - [i26]Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang:
InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models. CoRR abs/2404.07940 (2024) - [i25]Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li:
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing. CoRR abs/2406.02309 (2024) - [i24]Yingjie Fu, Bozhou Li, Linyi Li, Wentao Zhang, Tao Xie:
The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-based Code Generation. CoRR abs/2411.06774 (2024) - 2023
- [j1]Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang:
Can Pruning Improve Certified Robustness of Neural Networks? Trans. Mach. Learn. Res. 2023 (2023) - [c23]Linyi Li, Yuhao Zhang, Luyao Ren, Yingfei Xiong, Tao Xie:
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects. ICSE 2023: 1827-1839 - [c22]Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li:
CARE: Certifiably Robust Learning with Reasoning via Variational Inference. SaTML 2023: 554-574 - [c21]Mintong Kang, Linyi Li, Bo Li:
FaShapley: Fast and Approximated Shapley Based Model Pruning Towards Certifiably Robust DNNs. SaTML 2023: 575-592 - [c20]Linyi Li, Tao Xie, Bo Li:
SoK: Certified Robustness for Deep Neural Networks. SP 2023: 1289-1310 - [i23]Linyi Li, Yuhao Zhang, Luyao Ren, Yingfei Xiong, Tao Xie:
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects. CoRR abs/2302.06086 (2023) - [i22]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. CoRR abs/2309.13150 (2023) - 2022
- [c19]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRL 2022: 1309-1320 - [c18]Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li:
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. ICLR 2022 - [c17]Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li:
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. ICLR 2022 - [c16]Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li:
On the Certified Robustness for Ensemble Models and Beyond. ICLR 2022 - [c15]Wenda Chu, Linyi Li, Bo Li:
TPC: Transformation-Specific Smoothing for Point Cloud Models. ICML 2022: 4035-4056 - [c14]Linyi Li, Jiawei Zhang, Tao Xie, Bo Li:
Double Sampling Randomized Smoothing. ICML 2022: 13163-13208 - [c13]Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang:
Certifying Out-of-Domain Generalization for Blackbox Functions. ICML 2022: 23527-23548 - [c12]Ripon K. Saha, Akira Ura, Sonal Mahajan, Chenguang Zhu, Linyi Li, Yang Hu, Hiroaki Yoshida, Sarfraz Khurshid, Mukul R. Prasad:
SAPIENTML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions. ICSE 2022: 1932-1944 - [c11]Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta:
Fairness in Federated Learning via Core-Stability. NeurIPS 2022 - [c10]Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li:
Certifying Some Distributional Fairness with Subpopulation Decomposition. NeurIPS 2022 - [c9]Xiaojun Xu, Linyi Li, Bo Li:
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness. NeurIPS 2022 - [c8]Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li:
Improving Certified Robustness via Statistical Learning with Logical Reasoning. NeurIPS 2022 - [c7]Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. NeurIPS 2022 - [i21]Wenda Chu, Linyi Li, Bo Li:
TPC: Transformation-Specific Smoothing for Point Cloud Models. CoRR abs/2201.12733 (2022) - [i20]Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang:
Certifying Out-of-Domain Generalization for Blackbox Functions. CoRR abs/2202.01679 (2022) - [i19]Ripon K. Saha, Akira Ura, Sonal Mahajan, Chenguang Zhu, Linyi Li, Yang Hu, Hiroaki Yoshida, Sarfraz Khurshid, Mukul R. Prasad:
SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions. CoRR abs/2202.10451 (2022) - [i18]Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li:
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. CoRR abs/2203.08398 (2022) - [i17]Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li:
Certifying Some Distributional Fairness with Subpopulation Decomposition. CoRR abs/2205.15494 (2022) - [i16]Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang:
Can pruning improve certified robustness of neural networks? CoRR abs/2206.07311 (2022) - [i15]Linyi Li, Jiawei Zhang, Tao Xie, Bo Li:
Double Sampling Randomized Smoothing. CoRR abs/2206.07912 (2022) - [i14]Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li:
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data. CoRR abs/2207.10265 (2022) - [i13]Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. CoRR abs/2208.05740 (2022) - [i12]Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li:
CARE: Certifiably Robust Learning with Reasoning via Variational Inference. CoRR abs/2209.05055 (2022) - [i11]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRR abs/2210.04625 (2022) - [i10]Xiaojun Xu, Linyi Li, Bo Li:
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness. CoRR abs/2210.11620 (2022) - [i9]Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta:
Fairness in Federated Learning via Core-Stability. CoRR abs/2211.02091 (2022) - 2021
- [c6]Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li:
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks. AISTATS 2021: 3142-3150 - [c5]Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li:
TSS: Transformation-Specific Smoothing for Robustness Certification. CCS 2021: 535-557 - [c4]Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li:
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation. ICML 2021: 12479-12490 - [c3]Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li:
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness. NeurIPS 2021: 17642-17655 - [i8]Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li:
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks. CoRR abs/2102.13184 (2021) - [i7]Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li:
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness. CoRR abs/2104.00671 (2021) - [i6]Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li:
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation. CoRR abs/2106.06056 (2021) - [i5]Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li:
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. CoRR abs/2106.09292 (2021) - [i4]Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li:
On the Certified Robustness for Ensemble Models and Beyond. CoRR abs/2107.10873 (2021) - 2020
- [c2]Linyi Li, Zhenwen Li, Weijie Zhang, Jun Zhou, Pengcheng Wang, Jing Wu, Guanghua He, Xia Zeng, Yuetang Deng, Tao Xie:
Clustering test steps in natural language toward automating test automation. ESEC/SIGSOFT FSE 2020: 1285-1295 - [i3]Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li:
Provable Robust Learning Based on Transformation-Specific Smoothing. CoRR abs/2002.12398 (2020) - [i2]Linyi Li, Xiangyu Qi, Tao Xie, Bo Li:
SoK: Certified Robustness for Deep Neural Networks. CoRR abs/2009.04131 (2020) - [i1]Zhonghan Niu, Zhaoxi Chen, Linyi Li, Yubin Yang, Bo Li, Jinfeng Yi:
On the Limitations of Denoising Strategies as Adversarial Defenses. CoRR abs/2012.09384 (2020)
2010 – 2019
- 2019
- [c1]Linyi Li, Zexuan Zhong, Bo Li, Tao Xie:
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space. IJCAI 2019: 4711-4717
Coauthor Index
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last updated on 2025-02-26 20:50 CET by the dblp team
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