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Linyi Li
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2020 – today
- 2024
- [j18]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: 103633 (2024) - [j17]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: 1-15 (2024) - [i26]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) - [i25]Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li:
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits. CoRR abs/2403.11348 (2024) - 2023
- [j16]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: 103288 (2023) - [j15]Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang:
Can Pruning Improve Certified Robustness of Neural Networks? Trans. Mach. Learn. Res. 2023 (2023) - [c28]Linyi Li, Yuhao Zhang, Luyao Ren, Yingfei Xiong, Tao Xie:
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects. ICSE 2023: 1827-1839 - [c27]Linyi Li, Tao Xie, Bo Li:
SoK: Certified Robustness for Deep Neural Networks. SP 2023: 1289-1310 - [i24]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) - [i23]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
- [j14]Linyi Li, Shyam Gopinath, Stephen J. Carson:
History Matters: The Impact of Online Customer Reviews Across Product Generations. Manag. Sci. 68(5): 3878-3903 (2022) - [c26]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRL 2022: 1309-1320 - [c25]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 - [c24]Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li:
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. ICLR 2022 - [c23]Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li:
On the Certified Robustness for Ensemble Models and Beyond. ICLR 2022 - [c22]Wenda Chu, Linyi Li, Bo Li:
TPC: Transformation-Specific Smoothing for Point Cloud Models. ICML 2022: 4035-4056 - [c21]Linyi Li, Jiawei Zhang, Tao Xie, Bo Li:
Double Sampling Randomized Smoothing. ICML 2022: 13163-13208 - [c20]Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang:
Certifying Out-of-Domain Generalization for Blackbox Functions. ICML 2022: 23527-23548 - [c19]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 - [c18]Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta:
Fairness in Federated Learning via Core-Stability. NeurIPS 2022 - [c17]Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li:
Certifying Some Distributional Fairness with Subpopulation Decomposition. NeurIPS 2022 - [c16]Xiaojun Xu, Linyi Li, Bo Li:
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness. NeurIPS 2022 - [c15]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 - [c14]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 - [i22]Wenda Chu, Linyi Li, Bo Li:
TPC: Transformation-Specific Smoothing for Point Cloud Models. CoRR abs/2201.12733 (2022) - [i21]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) - [i20]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) - [i19]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) - [i18]Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li:
Certifying Some Distributional Fairness with Subpopulation Decomposition. CoRR abs/2205.15494 (2022) - [i17]Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang:
Can pruning improve certified robustness of neural networks? CoRR abs/2206.07311 (2022) - [i16]Linyi Li, Jiawei Zhang, Tao Xie, Bo Li:
Double Sampling Randomized Smoothing. CoRR abs/2206.07912 (2022) - [i15]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) - [i14]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) - [i13]Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li:
CARE: Certifiably Robust Learning with Reasoning via Variational Inference. CoRR abs/2209.05055 (2022) - [i12]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) - [i11]Xiaojun Xu, Linyi Li, Bo Li:
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness. CoRR abs/2210.11620 (2022) - [i10]Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta:
Fairness in Federated Learning via Core-Stability. CoRR abs/2211.02091 (2022) - 2021
- [j13]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): 1514-1527 (2021) - [j12]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): 1640-1644 (2021) - [j11]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): 2064 (2021) - [c13]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 - [c12]Dong Hu, Chao Ma, Zhihui Tian, Guohui Shen, Linyi Li:
Rice Weed detection method on YOLOv4 convolutional neural network. CAIBDA 2021: 41-45 - [c11]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 - [c10]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 - [c9]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 - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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
- [j10]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: 74943-74956 (2020) - [j9]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): 2068 (2020) - [c8]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 - [i4]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) - [i3]Linyi Li, Xiangyu Qi, Tao Xie, Bo Li:
SoK: Certified Robustness for Deep Neural Networks. CoRR abs/2009.04131 (2020) - [i2]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
- [j8]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): 1269-1273 (2019) - [j7]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): 1231 (2019) - [j6]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): 2535 (2019) - [c7]Linyi Li, Zexuan Zhong, Bo Li, Tao Xie:
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space. IJCAI 2019: 4711-4717 - 2018
- [j5]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): 147-154 (2018) - [j4]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): 2875 (2018) - [c6]Klas Leino, Shayak Sen, Anupam Datta, Matt Fredrikson, Linyi Li:
Influence-Directed Explanations for Deep Convolutional Networks. ITC 2018: 1-8 - [i1]Klas Leino, Linyi Li, Shayak Sen, Anupam Datta, Matt Fredrikson:
Influence-Directed Explanations for Deep Convolutional Networks. CoRR abs/1802.03788 (2018) - 2017
- [j3]Linyi Li, Tingbao Xu, Yun Chen:
Fuzzy Classification of High Resolution Remote Sensing Scenes Using Visual Attention Features. Comput. Intell. Neurosci. 2017: 9858531:1-9858531:9 (2017) - [c5]Junyi Wang, Xiaoying Bai, Linyi Li, Zhicheng Ji, Haoran Ma:
A Model-Based Framework for Cloud API Testing. COMPSAC (2) 2017: 60-65 - [c4]Junyi Wang, Xiaoying Bai, Haoran Ma, Linyi Li, Zhicheng Ji:
Cloud API Testing. ICST Workshops 2017: 385-386 - 2016
- [j2]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): 625 (2016) - [j1]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): 631 (2016) - 2010
- [c3]Linyi Li, Jingyin Zhao, Tao Yuan:
Study on Approaches of Land Suitability Evaluation for Crop Production Using GIS. CCTA (2) 2010: 587-596
2000 – 2009
- 2008
- [c2]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: 1319-1328 - 2007
- [c1]Shuai Zhang, Jingyin Zhao, Linyi Li:
Grass Cover Change Model Based on Cellular Automata. CCTA 2007: 825-832
Coauthor Index
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last updated on 2024-04-25 02:17 CEST by the dblp team
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