Linyi Li

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 75

Top Topics

Reinforcement Learning

Gradient Estimation

Top Venues

Publications

Runsheng Ma, Yating Wei, Qiang Zhao, Shuangming Zhao, Zhiwen Yang, Fang Shangguan, Jixuan Li, Zhaowen Wu, Zhijuan Shen, Wen Zhang, Linyi Li, Lingkui Meng
Multi-feature supported dam height measurement method for large hydraulic projects using high resolution remote sensing imagery. Int. J. Appl. Earth Obs. Geoinformation 129 (2024)
Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. CoRR (2024)
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 (2024)
Junjie Li, Yizhuo Meng, Chongxin Tao, Zhen Zhang, Xining Yang, Zhe Wang, Xi Wang, Linyi Li, Wen Zhang
ConvFormerSR: Fusing Transformers and Convolutional Neural Networks for Cross-Sensor Remote Sensing Imagery Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks. CoRR (2024)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. AISTATS (2024)
Zhen Zhang, Wen Zhang, Beibei Yang, Wenjun Xie, Chongxin Tao, Zhiming Hong, Yijia Xie, Jinglin Li, Linyi Li, Lingkui Meng
Long-term spatiotemporal characteristics of meteorological drought in China from a three-dimensional (longitude, latitude, time) perspective. Int. J. Appl. Earth Obs. Geoinformation 126 (2024)
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 (2024)
Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
Can Pruning Improve Certified Robustness of Neural Networks? Trans. Mach. Learn. Res. 2023 (2023)
Linyi Li, Yuhao Zhang, Luyao Ren, Yingfei Xiong, Tao Xie
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects. ICSE (2023)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. CoRR (2023)
Linyi Li, Tao Xie, Bo Li
SoK: Certified Robustness for Deep Neural Networks. SP (2023)
Junjie Li, Linyi Li, Yanjiao Song, Jiaming Chen, Zhe Wang, Yi Bao, Wen Zhang, Lingkui Meng
A robust large-scale surface water mapping framework with high spatiotemporal resolution based on the fusion of multi-source remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 118 (2023)
Mintong Kang, Linyi Li, Bo Li
FaShapley: Fast and Approximated Shapley Based Model Pruning Towards Certifiably Robust DNNs. SaTML (2023)
Linyi Li, Yuhao Zhang, Luyao Ren, Yingfei Xiong, Tao Xie
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects. CoRR (2023)
Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li
CARE: Certifiably Robust Learning with Reasoning via Variational Inference. SaTML (2023)
Linyi Li, Jiawei Zhang, Tao Xie, Bo Li
Double Sampling Randomized Smoothing. CoRR (2022)
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)
Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li
On the Certified Robustness for Ensemble Models and Beyond. ICLR (2022)
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 (2022)
Xiaojun Xu, Linyi Li, Bo Li
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness. CoRR (2022)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRR (2022)
Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li
CARE: Certifiably Robust Learning with Reasoning via Variational Inference. CoRR (2022)
Linyi Li, Jiawei Zhang, Tao Xie, Bo Li
Double Sampling Randomized Smoothing. ICML (2022)
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)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRL (2022)
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 (2022)
Xiaojun Xu, Linyi Li, Bo Li
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness. NeurIPS (2022)
Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
Can pruning improve certified robustness of neural networks? CoRR (2022)
Wenda Chu, Linyi Li, Bo Li
TPC: Transformation-Specific Smoothing for Point Cloud Models. ICML (2022)
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
Certifying Out-of-Domain Generalization for Blackbox Functions. CoRR (2022)
Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
Fairness in Federated Learning via Core-Stability. NeurIPS (2022)
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
Certifying Out-of-Domain Generalization for Blackbox Functions. ICML (2022)
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 (2022)
Linyi Li, Shyam Gopinath, Stephen J. Carson
History Matters: The Impact of Online Customer Reviews Across Product Generations. Manag. Sci. 68 (5) (2022)
Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
Fairness in Federated Learning via Core-Stability. CoRR (2022)
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)
Wenda Chu, Linyi Li, Bo Li
TPC: Transformation-Specific Smoothing for Point Cloud Models. CoRR (2022)
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 (2022)
Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
Certifying Some Distributional Fairness with Subpopulation Decomposition. NeurIPS (2022)
Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. ICLR (2022)
Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
Certifying Some Distributional Fairness with Subpopulation Decomposition. CoRR (2022)
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)
Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks. CoRR (2021)
Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks. AISTATS (2021)
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)
Junjie Li, Lingkui Meng, Beibei Yang, Chongxin Tao, Linyi Li, Wen Zhang
LabelRS: An Automated Toolbox to Make Deep Learning Samples from Remote Sensing Images. Remote. Sens. 13 (11) (2021)
Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li
On the Certified Robustness for Ensemble Models and Beyond. CoRR (2021)
Kaifang Shi, Jingwei Shen, Yizhen Wu, Shirao Liu, Linyi Li
Carbon dioxide (CO2) emissions from the service industry, traffic, and secondary industry as revealed by the remotely sensed nighttime light data. Int. J. Digit. Earth 14 (11) (2021)
Linyi Li, Tuo Wu, Qi Zhang, Jiayin Qin
Sum Achievable Rate Maximization in Orbital Angular Momentum-Based Amplify-and-Forward Two-Way Relay Networks. IEEE Commun. Lett. 25 (5) (2021)
Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. CoRR (2021)
Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation. CoRR (2021)
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)
Dong Hu, Chao Ma, Zhihui Tian, Guohui Shen, Linyi Li
Rice Weed detection method on YOLOv4 convolutional neural network. CAIBDA (2021)
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 (2021)
Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation. ICML (2021)
Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li
Provable Robust Learning Based on Transformation-Specific Smoothing. CoRR (2020)
Linyi Li, Xiangyu Qi, Tao Xie, Bo Li
SoK: Certified Robustness for Deep Neural Networks. CoRR (2020)
Xujin Wang, Rui Wang, Wen Zhan, Beibei Yang, Linyi Li, Fei Chen, Lingkui Meng
A Storage Method for Remote Sensing Images Based on Google S2. IEEE Access 8 (2020)
Zhonghan Niu, Zhaoxi Chen, Linyi Li, Yubin Yang, Bo Li, Jinfeng Yi
On the Limitations of Denoising Strategies as Adversarial Defenses. CoRR (2020)
Linyi Li, Yun Chen, Tingbao Xu, Lingkui Meng, Chang Huang, Kaifang Shi
Spatial Attraction Models Coupled with Elman Neural Networks for Enhancing Sub-Pixel Urban Inundation Mapping. Remote. Sens. 12 (13) (2020)
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)
Chang Huang, Yun Chen, Shiqiang Zhang, Linyi Li, Junfeng Shui, Qihang Liu
Integrating Water Observation from Space Product and Time-Series Flow Data for Modeling Spatio-Temporal Flood Inundation Dynamics. Remote. Sens. 11 (21) (2019)
Linyi Li, Yun Chen, Tingbao Xu, Kaifang Shi, Rui Liu, Chang Huang, Binbin Lu, Lingkui Meng
Remote Sensing of Wetland Flooding at a Sub-Pixel Scale Based on Random Forests and Spatial Attraction Models. Remote. Sens. 11 (10) (2019)
Linyi Li, Yun Chen, Tingbao Xu, Kaifang Shi, Chang Huang, Rui Liu, Binbin Lu, Lingkui Meng
Enhanced Super-Resolution Mapping of Urban Floods Based on the Fusion of Support Vector Machine and General Regression Neural Network. IEEE Geosci. Remote. Sens. Lett. 16 (8) (2019)
Linyi Li, Zexuan Zhong, Bo Li, Tao Xie
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space. IJCAI (2019)
Klas Leino, Shayak Sen, Anupam Datta, Matt Fredrikson, Linyi Li
Influence-Directed Explanations for Deep Convolutional Networks. ITC (2018)
Linyi Li, Yun Chen, Tingbao Xu
Integration of fuzzy theory and particle swarm optimization for high-resolution satellite scene recognition. Prog. Artif. Intell. 7 (2) (2018)
Zhiming Hong, Wen Zhang, Changhui Yu, Dongying Zhang, Linyi Li, Lingkui Meng
SWCTI: Surface Water Content Temperature Index for Assessment of Surface Soil Moisture Status. Sensors 18 (9) (2018)
Klas Leino, Linyi Li, Shayak Sen, Anupam Datta, Matt Fredrikson
Influence-Directed Explanations for Deep Convolutional Networks. CoRR (2018)
Junyi Wang, Xiaoying Bai, Linyi Li, Zhicheng Ji, Haoran Ma
A Model-Based Framework for Cloud API Testing. COMPSAC (2) (2017)
Linyi Li, Tingbao Xu, Yun Chen
Fuzzy Classification of High Resolution Remote Sensing Scenes Using Visual Attention Features. Comput. Intell. Neurosci. 2017 (2017)
Junyi Wang, Xiaoying Bai, Haoran Ma, Linyi Li, Zhicheng Ji
Cloud API Testing. ICST Workshops (2017)
Chang Huang, Yun Chen, Shiqiang Zhang, Linyi Li, Kaifang Shi, Rui Liu
Surface Water Mapping from Suomi NPP-VIIRS Imagery at 30 m Resolution via Blending with Landsat Data. Remote. Sens. 8 (8) (2016)
Linyi Li, Tingbao Xu, Yun Chen
Improved Urban Flooding Mapping from Remote Sensing Images Using Generalized Regression Neural Network-Based Super-Resolution Algorithm. Remote. Sens. 8 (8) (2016)
Linyi Li, Jingyin Zhao, Tao Yuan
Study on Approaches of Land Suitability Evaluation for Crop Production Using GIS. CCTA (2) (2010)
Shuai Zhang, Dongsheng Wang, Linyi Li, Yongda Yuan
Design and Implementation of Aculops Lycopersici Population Dynamic Model Prototype Based on Cellular Automata. CCTA (2) (2008)
Shuai Zhang, Jingyin Zhao, Linyi Li
Grass Cover Change Model Based on Cellular Automata. CCTA (2007)