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Journal Articles
- 2024
[j17]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): 173-184 (2024)- [j16]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): 219-229 (2024) - [j15]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: 4515-4526 (2024) - [j14]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): 141:1-141:23 (2024) - 2023
- [j13]Jiajun Xian, Zhihong Zhang, Zongyi Li, Dan Yang:
Coupled Information-Epidemic Spreading Dynamics with Selective Mass Media. Entropy 25(6): 927 (2023) - [j12]Ao Wang, Yu-Zhen Wei, Zongyi Li, Min Jiang:
Research on information lossless teleportation via the W states. IET Quantum Commun. 4(4): 200-207 (2023) - [j11]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: 89:1-89:97 (2023) - [j10]Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar:
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. J. Mach. Learn. Res. 24: 388:1-388:26 (2023) - [j9]Yi Ding, Yuzheng Wei, Zongyi Li, Min Jiang:
Quantum teleportation based on non-maximally entangled graph states. Quantum Inf. Process. 22(11): 400 (2023) - [j8]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): 855-864 (2023) - [j7]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): 183-195 (2023) - 2022
- [j6]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): 603-623 (2022) - [j5]Yuxuan Shi, Weiyi Tian, Hefei Ling, Zongyi Li, Ping Li:
Spatial-wise and channel-wise feature uncertainty for occluded person re-identification. Neurocomputing 486: 237-249 (2022) - 2021
- [j4]Jiazhong Chen, Zongyi Li, Yi Jin, Dakai Ren, Hefei Ling:
Video saliency prediction via spatio-temporal reasoning. Neurocomputing 462: 59-68 (2021) - [j3]Dakai Ren, Xiangming Wen, Tao Jia, Jiazhong Chen, Zongyi Li:
Saliency detection via cross-scale deep inference. J. Vis. Commun. Image Represent. 75: 103031 (2021) - [j2]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: 103369 (2021) - 2019
- [j1]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): 937-946 (2019)
Conference and Workshop Papers
- 2024
- [c24]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: 4795-4799 - [c23]Kaiyu Yan, Fei Shen, Zongyi Li:
Enhancing Landslide Segmentation with Guide Attention Mechanism and Fast Fourier Transformer. ICIC (10) 2024: 296-307 - [c22]Ruipeng Xu, Fei Shen, Xu Xie, Zongyi Li:
Training-Free Diffusion Models for Content-Style Synthesis. ICIC (10) 2024: 308-319 - [c21]Zongyi Li, Jianbo Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Runsheng Wang, Shijuan Huang:
Cross-modal Generation and Alignment via Attribute-guided Prompt for Unsupervised Text-based Person Retrieval. IJCAI 2024: 1047-1055 - [c20]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. IJCNN 2024: 1-7 - 2023
- [c19]Zongyi Li, Hongbing Lyu, Jun Wang:
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation. ACML 2023: 694-706 - [c18]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: 5520-5529 - [c17]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: 286-290 - [c16]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: 2645-2649 - [c15]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 - 2022
- [c14]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: 1527-1535 - [c13]Yuanyuan Shi, Zongyi Li, Huan Yu, Drew Steeves, Anima Anandkumar, Miroslav Krstic:
Machine Learning Accelerated PDE Backstepping Observers. CDC 2022: 5423-5428 - [c12]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: 973-978 - [c11]John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro:
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. ICLR 2022 - [c10]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 - 2021
- [c9]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: 3137-3147 - [c8]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 - [c7]Jiazhong Chen, Jie Chen, Yuan Dong, Dakai Ren, Shiqi Zhang, Zongyi Li:
Video Saliency Prediction via Deep Eye Movement Learning. MMAsia 2021: 17:1-17:6 - 2020
- [c6]Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan:
Conditional Linear Regression. AISTATS 2020: 2164-2173 - [c5]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 - 2018
- [c4]Brendan Juba, Zongyi Li, Evan Miller:
Learning Abduction Using Partial Observability. AAAI 2018: 1888-1896 - [c3]Diego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan:
Conditional Linear Regression. AAAI 2018: 8055-8056 - [c2]Brendan Juba, Zongyi Li, Evan Miller:
Learning Abduction Under Partial Observability. AAAI 2018: 8097-8098 - 2017
- [c1]Zongyi Li, Brendan Juba, Evan Miller:
Learning Abduction under Partial Observability. AKBC@NIPS 2017
Data and Artifacts
- 2022
- [d1]Zongyi Li, Miguel Liu-Schiaffini, Nikola Borislavov Kovachki, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Learning Dissipative Dynamics in Chaotic Systems (Datasets). Zenodo, 2022
Informal and Other Publications
- 2024
- [i32]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 abs/2403.12553 (2024) - [i31]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 abs/2405.03436 (2024) - [i30]Chuwei Wang, Julius Berner, Zongyi Li, Di Zhou, Jiayun Wang, Jane Bae, Anima Anandkumar:
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators. CoRR abs/2408.05177 (2024) - 2023
- [i29]Peter I Renn, Cong Wang, Sahin Lale, Zongyi Li, Anima Anandkumar, Morteza Gharib:
Forecasting subcritical cylinder wakes with Fourier Neural Operators. CoRR abs/2301.08290 (2023) - [i28]Samuel Lanthaler, Zongyi Li, Andrew M. Stuart:
The Nonlocal Neural Operator: Universal Approximation. CoRR abs/2304.13221 (2023) - [i27]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 abs/2309.00583 (2023) - [i26]Kamyar Azizzadenesheli, Nikola B. Kovachki, Zongyi Li, Miguel Liu-Schiaffini, Jean Kossaifi, Anima Anandkumar:
Neural Operators for Accelerating Scientific Simulations and Design. CoRR abs/2309.15325 (2023) - [i25]Zongyi Li, Hongbing Lyu, Jun Wang:
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation. CoRR abs/2310.10951 (2023) - [i24]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 abs/2311.05967 (2023) - 2022
- [i23]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 abs/2202.11214 (2022) - [i22]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 abs/2203.08616 (2022) - [i21]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 abs/2207.04056 (2022) - [i20]Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar:
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. CoRR abs/2207.05209 (2022) - [i19]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 abs/2210.15765 (2022) - [i18]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 abs/2210.16117 (2022) - [i17]Gege Wen, Zongyi Li, Qirui Long, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson:
Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators. CoRR abs/2210.17051 (2022) - [i16]Yuanyuan Shi, Zongyi Li, Huan Yu, Drew Steeves, Anima Anandkumar, Miroslav Krstic:
Machine Learning Accelerated PDE Backstepping Observers. CoRR abs/2211.15044 (2022) - [i15]Jiawei Zhao, Robert Joseph George, Yifei Zhang, Zongyi Li, Anima Anandkumar:
Incremental Fourier Neural Operator. CoRR abs/2211.15188 (2022) - [i14]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 abs/2211.15960 (2022) - 2021
- [i13]Lihao Wang, Zongyi Li, Xiaoqing Zheng:
Unsupervised Word Segmentation with Bi-directional Neural Language Model. CoRR abs/2103.01421 (2021) - [i12]Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Markov Neural Operators for Learning Chaotic Systems. CoRR abs/2106.06898 (2021) - [i11]Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Neural Operator: Learning Maps Between Function Spaces. CoRR abs/2108.08481 (2021) - [i10]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 abs/2108.12777 (2021) - [i9]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 abs/2109.03697 (2021) - [i8]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 abs/2111.03794 (2021) - [i7]John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro:
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. CoRR abs/2111.13587 (2021) - 2020
- [i6]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 abs/2003.03485 (2020) - [i5]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 abs/2006.09535 (2020) - [i4]Zongyi Li, Xiaoqing Zheng:
Unsupervised Summarization by Jointly Extracting Sentences and Keywords. CoRR abs/2009.07481 (2020) - [i3]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 abs/2010.08895 (2020) - 2018
- [i2]Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan:
Conditional Linear Regression. CoRR abs/1806.02326 (2018) - 2017
- [i1]Brendan Juba, Zongyi Li, Evan Miller:
Learning Abduction under Partial Observability. CoRR abs/1711.04438 (2017)
Coauthor Index
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