Zongyi Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 68

Top Topics

Saliency Detection

Diffusion Models

Severe Acute Respiratory Syndrome

Differential Equations

Top Venues

Publications

Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel V. Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs. CoRR (2024)
Ruipeng Xu, Fei Shen, Xu Xie, Zongyi Li
Training-Free Diffusion Models for Content-Style Synthesis. ICIC (10) (2024)
Zongyi Li, Zhongyang Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Runsheng Wang, Ping Li
Uncertainty-Guided Person Search Model with Auxiliary Shallow Feature Exploration. ICASSP (2024)
Runsheng Wang, Yuxuan Shi, Hefei Ling, Zongyi Li, Chengxin Zhao, Bohao Wei, He Li, Ping Li
Gait Recognition With Multi-Level Skeleton-Guided Refinement. IEEE Trans. Multim. 26 (2024)
Chengxin Zhao, Hefei Ling, Sijing Xie, Nan Sun, Zongyi Li, Yuxuan Shi, Jiazhong Chen
DBDH: A Dual-Branch Dual-Head Neural Network for Invisible Embedded Regions Localization. CoRR (2024)
Zongyi Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Boyuan Liu, Runsheng Wang, Chengxin Zhao
Viewpoint Disentangling and Generation for Unsupervised Object Re-ID. ACM Trans. Multim. Comput. Commun. Appl. 20 (5) (2024)
Kaiyu Yan, Fei Shen, Zongyi Li
Enhancing Landslide Segmentation with Guide Attention Mechanism and Fast Fourier Transformer. ICIC (10) (2024)
Hanqing Zheng, Yuxuan Shi, Hefei Ling, Zongyi Li, Runsheng Wang, Zhongyang Li, Ping Li
Cascade Transformer Reasoning Embedded by Uncertainty for Occluded Person Re-Identification. IEEE Trans. Biom. Behav. Identity Sci. 6 (2) (2024)
Zongyi Li, Yuzhen Wei, Min Jiang
Multi-hop joint remote state preparation of general hybrid entangled multi-qudit states via distinct Einstein-Podolsky-Rosen channels. IET Quantum Commun. 5 (2) (2024)
Qian Wang, Hefei Ling, Baiyan Zhang, Ping Li, Zongyi Li, Yuxuan Shi, Chengxin Zhao, Chuang Zhao
Bidirectional Gated Edge-Labeling Graph Recurrent Neural Network for Few-Shot Learning. IEEE Trans. Cogn. Dev. Syst. 15 (2) (2023)
Jiajun Xian, Zhihong Zhang, Zongyi Li, Dan Yang
Coupled Information-Epidemic Spreading Dynamics with Selective Mass Media. Entropy 25 (6) (2023)
Vignesh Gopakumar, Stanislas Pamela, Lorenzo Zanisi, Zongyi Li, Ander Gray, Daniel Brennand, Nitesh Bhatia, Gregory Stathopoulos, Matt Kusner, Marc Peter Deisenroth, Anima Anandkumar, JOREK Team, MAST Team
Plasma Surrogate Modelling using Fourier Neural Operators. CoRR (2023)
Zongyi Li, Hongbing Lyu, Jun Wang
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation. ACML (2023)
Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs. J. Mach. Learn. Res. 24 (2023)
Bo Gu, Hefei Ling, Yuxuan Shi, Zongyi Li, Chuang Zhao, Ping Li, Qiang Cao
Mutual Relative Position Learning Transformer for Cross-View Geo-Localization. ICIP (2023)
Yi Ding, Yuzheng Wei, Zongyi Li, Min Jiang
Quantum teleportation based on non-maximally entangled graph states. Quantum Inf. Process. 22 (11) (2023)
Zongyi Li, Nikola Borislavov Kovachki, Christopher B. Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Anima Anandkumar
Geometry-Informed Neural Operator for Large-Scale 3D PDEs. CoRR (2023)
Kamyar Azizzadenesheli, Nikola B. Kovachki, Zongyi Li, Miguel Liu-Schiaffini, Jean Kossaifi, Anima Anandkumar
Neural Operators for Accelerating Scientific Simulations and Design. CoRR (2023)
Runsheng Wang, Yuxuan Shi, Hefei Ling, Zongyi Li, Ping Li, Boyuan Liu, Hanqing Zheng, Qian Wang
Gait Recognition via Gait Period Set. IEEE Trans. Biom. Behav. Identity Sci. 5 (2) (2023)
Zongyi Li, Nikola B. Kovachki, Christopher B. Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Animashree Anandkumar
Geometry-Informed Neural Operator for Large-Scale 3D PDEs. NeurIPS (2023)
Zongyi Li, Hongbing Lyu, Jun Wang
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation. CoRR (2023)
Samuel Lanthaler, Zongyi Li, Andrew M. Stuart
The Nonlocal Neural Operator: Universal Approximation. CoRR (2023)
Zongyi Li, Runsheng Wang, He Li, Bohao Wei, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Boyuan Liu, Zhongyang Li, Hanqing Zheng
Hierarchical Clustering and Refinement for Generalized Multi-Camera Person Tracking. CVPR Workshops (2023)
He Li, Yuxuan Shi, Hefei Ling, Zongyi Li, Runsheng Wang, Chengxin Zhao, Ping Li
MEGL: Multi-Experts Guided Learning Network for Single Camera Training Person Re-Identification. ICIP (2023)
Peter I Renn, Cong Wang, Sahin Lale, Zongyi Li, Anima Anandkumar, Morteza Gharib
Forecasting subcritical cylinder wakes with Fourier Neural Operators. CoRR (2023)
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training. CoRR (2022)
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren
Generic lithography modeling with dual-band optics-inspired neural networks. DAC (2022)
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks. CoRR (2022)
Zongyi Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Qian Wang, Fengfan Zhou
Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification. AAAI (2022)
Yuanyuan Shi, Zongyi Li, Huan Yu, Drew Steeves, Anima Anandkumar, Miroslav Krstic
Machine Learning Accelerated PDE Backstepping Observers. CoRR (2022)
Gege Wen, Zongyi Li, Qirui Long, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson
Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators. CoRR (2022)
Haydn Maust, Zongyi Li, Yixuan Wang, Daniel V. Leibovici, Oscar P. Bruno, Thomas Y. Hou, Anima Anandkumar
Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators. CoRR (2022)
Yuanyuan Shi, Zongyi Li, Huan Yu, Drew Steeves, Anima Anandkumar, Miroslav Krstic
Machine Learning Accelerated PDE Backstepping Observers. CDC (2022)
Yuxuan Shi, Weiyi Tian, Hefei Ling, Zongyi Li, Ping Li
Spatial-wise and channel-wise feature uncertainty for occluded person re-identification. Neurocomputing 486 (2022)
Anda Trifan, Defne Gorgun, Michael Salim, Zongyi Li, Alexander Brace, Maxim Zvyagin, Heng Ma, Austin Clyde, David Clark, David J. Hardy, Tom Burnley, Lei Huang, John D. McCalpin, Murali Emani, Hyenseung Yoo, Junqi Yin, Aristeidis Tsaris, Vishal Subbiah, Tanveer Raza, Jessica Liu, Noah Trebesch, Geoffrey Wells, Venkatesh Mysore, Tom Gibbs, James C. Phillips, S. Chakra Chennubhotla, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, John E. Stone, Emad Tajkhorshid, Sarah A Harris, Arvind Ramanathan
Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action. Int. J. High Perform. Comput. Appl. 36 (5-6) (2022)
Fengfan Zhou, Hefei Ling, Yuxuan Shi, Jiazhong Chen, Zongyi Li, Qian Wang
Improving Transferability of Adversarial Examples on Face Recognition with Beneficial Perturbation Feature Augmentation. CoRR (2022)
Zongyi Li, Miguel Liu-Schiaffini, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Learning Chaotic Dynamics in Dissipative Systems. NeurIPS (2022)
Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Haoxing Ren
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design. CoRR (2022)
Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators. CoRR (2022)
Jiawei Zhao, Robert Joseph George, Yifei Zhang, Zongyi Li, Anima Anandkumar
Incremental Fourier Neural Operator. CoRR (2022)
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. ICLR (2022)
Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. CoRR (2022)
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. CoRR (2021)
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Markov Neural Operators for Learning Chaotic Systems. CoRR (2021)
Dakai Ren, Xiangming Wen, Tao Jia, Jiazhong Chen, Zongyi Li
Saliency detection via cross-scale deep inference. J. Vis. Commun. Image Represent. 75 (2021)
Lihao Wang, Zongyi Li, Xiaoqing Zheng
Unsupervised Word Segmentation with Bi-directional Neural Language Model. CoRR (2021)
Gege Wen, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson
U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow. CoRR (2021)
Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. CoRR (2021)
Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. EMNLP (1) (2021)
Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Fourier Neural Operator for Parametric Partial Differential Equations. ICLR (2021)
Dakai Ren, Jiazhong Chen, Jian Zhong, Zhaoming Lu, Tao Jia, Zongyi Li
Gaze estimation via bilinear pooling-based attention networks. J. Vis. Commun. Image Represent. 81 (2021)
Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar
Physics-Informed Neural Operator for Learning Partial Differential Equations. CoRR (2021)
Jiazhong Chen, Zongyi Li, Yi Jin, Dakai Ren, Hefei Ling
Video saliency prediction via spatio-temporal reasoning. Neurocomputing 462 (2021)
Jiazhong Chen, Jie Chen, Yuan Dong, Dakai Ren, Shiqi Zhang, Zongyi Li
Video Saliency Prediction via Deep Eye Movement Learning. MMAsia (2021)
Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Neural Operator: Learning Maps Between Function Spaces. CoRR (2021)
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Andrew M. Stuart, Kaushik Bhattacharya, Anima Anandkumar
Multipole Graph Neural Operator for Parametric Partial Differential Equations. NeurIPS (2020)
Zongyi Li, Xiaoqing Zheng
Unsupervised Summarization by Jointly Extracting Sentences and Keywords. CoRR (2020)
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Neural Operator: Graph Kernel Network for Partial Differential Equations. CoRR (2020)
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Fourier Neural Operator for Parametric Partial Differential Equations. CoRR (2020)
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Multipole Graph Neural Operator for Parametric Partial Differential Equations. CoRR (2020)
Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan
Conditional Linear Regression. AISTATS (2020)
Yong-bing Zhang, Qiu-Yu Zhang, Zongyi Li, Yan Yan, Mo-yi Zhang
A k-anonymous Location Privacy Protection Method of Dummy Based on Geographical Semantics. Int. J. Netw. Secur. 21 (6) (2019)
Brendan Juba, Zongyi Li, Evan Miller
Learning Abduction Under Partial Observability. AAAI (2018)
Brendan Juba, Zongyi Li, Evan Miller
Learning Abduction Using Partial Observability. AAAI (2018)
Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan
Conditional Linear Regression. CoRR (2018)
Diego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan
Conditional Linear Regression. AAAI (2018)
Brendan Juba, Zongyi Li, Evan Miller
Learning Abduction under Partial Observability. CoRR (2017)
Zongyi Li, Brendan Juba, Evan Miller
Learning Abduction under Partial Observability. AKBC@NIPS (2017)