Zongyi Li

According to our database, Zongyi Li authored at least 55 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Viewpoint Disentangling and Generation for Unsupervised Object Re-ID.

Zongyi Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Boyuan Liu, Runsheng Wang, Chengxin Zhao

ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Cascade Transformer Reasoning Embedded by Uncertainty for Occluded Person Re-Identification.

Hanqing Zheng, Yuxuan Shi, Hefei Ling, Zongyi Li, Runsheng Wang, Zhongyang Li, Ping Li

IEEE Trans. Biom. Behav. Identity Sci., April, 2024

Gait Recognition With Multi-Level Skeleton-Guided Refinement.

Runsheng Wang, Yuxuan Shi, Hefei Ling, Zongyi Li, Chengxin Zhao, Bohao Wei, He Li, Ping Li

IEEE Trans. Multim., 2024

Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs.

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

CoRR, 2024

2023

Research on information lossless teleportation via the W states.

Ao Wang, Yu-Zhen Wei, Zongyi Li, Min Jiang

IET Quantum Commun., December, 2023

Quantum teleportation based on non-maximally entangled graph states.

Yi Ding, Yuzheng Wei, Zongyi Li, Min Jiang

Quantum Inf. Process., November, 2023

Coupled Information-Epidemic Spreading Dynamics with Selective Mass Media.

Jiajun Xian, Zhihong Zhang, Zongyi Li, Dan Yang

Entropy, June, 2023

Gait Recognition via Gait Period Set.

Runsheng Wang, Yuxuan Shi, Hefei Ling, Zongyi Li, Ping Li, Boyuan Liu, Hanqing Zheng, Qian Wang

IEEE Trans. Biom. Behav. Identity Sci., 2023

Bidirectional Gated Edge-Labeling Graph Recurrent Neural Network for Few-Shot Learning.

Qian Wang, Hefei Ling, Baiyan Zhang, Ping Li, Zongyi Li, Yuxuan Shi, Chengxin Zhao, Chuang Zhao

IEEE Trans. Cogn. Dev. Syst., 2023

Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs.

Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

J. Mach. Learn. Res., 2023

Plasma Surrogate Modelling using Fourier Neural Operators.

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

CoRR, 2023

FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation.

Zongyi Li, Hongbing Lyu, Jun Wang

CoRR, 2023

Neural Operators for Accelerating Scientific Simulations and Design.

Kamyar Azizzadenesheli, Nikola B. Kovachki, Zongyi Li, Miguel Liu-Schiaffini, Jean Kossaifi, Anima Anandkumar

CoRR, 2023

The Nonlocal Neural Operator: Universal Approximation.

Samuel Lanthaler, Zongyi Li, Andrew M. Stuart

CoRR, 2023

Forecasting subcritical cylinder wakes with Fourier Neural Operators.

Peter I Renn, Cong Wang, Sahin Lale, Zongyi Li, Anima Anandkumar, Morteza Gharib

CoRR, 2023

Geometry-Informed Neural Operator for Large-Scale 3D PDEs.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MEGL: Multi-Experts Guided Learning Network for Single Camera Training Person Re-Identification.

He Li, Yuxuan Shi, Hefei Ling, Zongyi Li, Runsheng Wang, Chengxin Zhao, Ping Li

Proceedings of the IEEE International Conference on Image Processing, 2023

Mutual Relative Position Learning Transformer for Cross-View Geo-Localization.

Bo Gu, Hefei Ling, Yuxuan Shi, Zongyi Li, Chuang Zhao, Ping Li, Qiang Cao

Proceedings of the IEEE International Conference on Image Processing, 2023

Hierarchical Clustering and Refinement for Generalized Multi-Camera Person Tracking.

Zongyi Li, Runsheng Wang, He Li, Bohao Wei, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Boyuan Liu, Zhongyang Li, Hanqing Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning Dissipative Dynamics in Chaotic Systems (Datasets).

Zongyi Li, Miguel Liu-Schiaffini, Nikola Borislavov Kovachki, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

Dataset, November, 2022

Spatial-wise and channel-wise feature uncertainty for occluded person re-identification.

Yuxuan Shi, Weiyi Tian, Hefei Ling, Zongyi Li, Ping Li

Neurocomputing, 2022

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.

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

Int. J. High Perform. Comput. Appl., 2022

Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators.

Haydn Maust, Zongyi Li, Yixuan Wang, Daniel V. Leibovici, Oscar P. Bruno, Thomas Y. Hou, Anima Anandkumar

CoRR, 2022

Incremental Fourier Neural Operator.

Jiawei Zhao, Robert Joseph George, Yifei Zhang, Zongyi Li, Anima Anandkumar

CoRR, 2022

Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators.

Gege Wen, Zongyi Li, Qirui Long, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson

CoRR, 2022

Improving Transferability of Adversarial Examples on Face Recognition with Beneficial Perturbation Feature Augmentation.

Fengfan Zhou, Hefei Ling, Yuxuan Shi, Jiazhong Chen, Zongyi Li, Qian Wang

CoRR, 2022

An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design.

Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Haoxing Ren

CoRR, 2022

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries.

Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar

CoRR, 2022

Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training.

Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren

CoRR, 2022

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

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

CoRR, 2022

Learning Chaotic Dynamics in Dissipative Systems.

Zongyi Li, Miguel Liu-Schiaffini, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators.

John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro

Proceedings of the Tenth International Conference on Learning Representations, 2022

Generic lithography modeling with dual-band optics-inspired neural networks.

Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Machine Learning Accelerated PDE Backstepping Observers.

Yuanyuan Shi, Zongyi Li, Huan Yu, Drew Steeves, Anima Anandkumar, Miroslav Krstic

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification.

Zongyi Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Qian Wang, Fengfan Zhou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Saliency detection via cross-scale deep inference.

Dakai Ren, Xiangming Wen, Tao Jia, Jiazhong Chen, Zongyi Li

J. Vis. Commun. Image Represent., 2021

Gaze estimation via bilinear pooling-based attention networks.

Dakai Ren, Jiazhong Chen, Jian Zhong, Zhaoming Lu, Tao Jia, Zongyi Li

J. Vis. Commun. Image Represent., 2021

Video saliency prediction via spatio-temporal reasoning.

Jiazhong Chen, Zongyi Li, Yi Jin, Dakai Ren, Hefei Ling

Neurocomputing, 2021

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.

John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro

CoRR, 2021

Physics-Informed Neural Operator for Learning Partial Differential Equations.

Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar

CoRR, 2021

U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow.

Gege Wen, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson

CoRR, 2021

Neural Operator: Learning Maps Between Function Spaces.

Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

CoRR, 2021

Markov Neural Operators for Learning Chaotic Systems.

Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

CoRR, 2021

Unsupervised Word Segmentation with Bi-directional Neural Language Model.

Lihao Wang, Zongyi Li, Xiaoqing Zheng

CoRR, 2021

Video Saliency Prediction via Deep Eye Movement Learning.

Jiazhong Chen, Jie Chen, Yuan Dong, Dakai Ren, Shiqi Zhang, Zongyi Li

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Fourier Neural Operator for Parametric Partial Differential Equations.

Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

Proceedings of the 9th International Conference on Learning Representations, 2021

Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution.

Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Unsupervised Summarization by Jointly Extracting Sentences and Keywords.

Zongyi Li, Xiaoqing Zheng

CoRR, 2020

Neural Operator: Graph Kernel Network for Partial Differential Equations.

Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

CoRR, 2020

Multipole Graph Neural Operator for Parametric Partial Differential Equations.

Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Andrew M. Stuart, Kaushik Bhattacharya, Anima Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Conditional Linear Regression.

Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A k-anonymous Location Privacy Protection Method of Dummy Based on Geographical Semantics.

Yong-bing Zhang, Qiu-Yu Zhang, Zongyi Li, Yan Yan, Mo-yi Zhang

Int. J. Netw. Secur., 2019

2018

Learning Abduction Using Partial Observability.

Brendan Juba, Zongyi Li, Evan Miller

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Conditional Linear Regression.

Diego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning Abduction under Partial Observability.

Zongyi Li, Brendan Juba, Evan Miller

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017