Learning Abduction under Partial Observability. - Zongyi Li; Brendan Juba; Evan Miller (AKBC@NIPS, 2017)

Conditional Linear Regression. - Diego Calderon; Brendan Juba; Zongyi Li; Lisa Ruan (AAAI, 2018)

Learning Abduction Using Partial Observability. - Brendan Juba; Zongyi Li; Evan Miller (AAAI, 2018)

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)

Conditional Linear Regression. - Diego Calderon; Brendan Juba; Sirui Li; Zongyi Li; Lisa Ruan (AISTATS, 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 (NeurIPS, 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)

Unsupervised Summarization by Jointly Extracting Sentences and Keywords. - Zongyi Li; Xiaoqing Zheng (CoRR, 2020)

Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. - Zongyi Li; Jianhan Xu; Jiehang Zeng; Linyang Li; Xiaoqing Zheng; Qi Zhang 001; Kai-Wei Chang; Cho-Jui Hsieh (EMNLP (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 (ICLR, 2021)

Video Saliency Prediction via Deep Eye Movement Learning. - Jiazhong Chen; Jie Chen 058; Yuan Dong; Dakai Ren; Shiqi Zhang 002; Zongyi Li (MMAsia, 2021)

Unsupervised Word Segmentation with Bi-directional Neural Language Model. - Lihao Wang; Zongyi Li; Xiaoqing Zheng (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)

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)

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)

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)

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. - John Guibas; Morteza Mardani; Zongyi Li; Andrew Tao; Anima Anandkumar; Bryan Catanzaro (CoRR, 2021)

Video saliency prediction via spatio-temporal reasoning. - Jiazhong Chen; Zongyi Li; Yi Jin 001; Dakai Ren; Hefei Ling (Neurocomputing, 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)

Saliency detection via cross-scale deep inference. - Dakai Ren; Xiangming Wen; Tao Jia; Jiazhong Chen; Zongyi Li (J. Vis. Commun. Image Represent., 2021)

Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification. - Zongyi Li; Yuxuan Shi; Hefei Ling; Jiazhong Chen; Qian Wang 001; Fengfan Zhou (AAAI, 2022)

Machine Learning Accelerated PDE Backstepping Observers. - Yuanyuan Shi; Zongyi Li; Huan Yu; Drew Steeves; Anima Anandkumar; Miroslav Krstic (CDC, 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 (DAC, 2022)

Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. - John Guibas; Morteza Mardani; Zongyi Li; Andrew Tao; Anima Anandkumar; Bryan Catanzaro (ICLR, 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 (NeurIPS, 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; et al. (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)

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)

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 001 (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)

Incremental Fourier Neural Operator. - Jiawei Zhao; Robert Joseph George; Yifei Zhang; Zongyi Li; Anima Anandkumar (CoRR, 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 001; Anima Anandkumar (CoRR, 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 019; et al. (Int. J. High Perform. Comput. Appl., 2022)

Spatial-wise and channel-wise feature uncertainty for occluded person re-identification. - Yuxuan Shi; Weiyi Tian; Hefei Ling; Zongyi Li; Ping Li 021 (Neurocomputing, 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 (Zenodo, 2022)

FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation. - Zongyi Li; Hongbing Lyu; Jun Wang (ACML, 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 (CVPR Workshops, 2023)

Mutual Relative Position Learning Transformer for Cross-View Geo-Localization. - Bo Gu; Hefei Ling; Yuxuan Shi; Zongyi Li; Chuang Zhao 001; Ping Li 021; Qiang Cao (ICIP, 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 021 (ICIP, 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 002; Kamyar Azizzadenesheli; Animashree Anandkumar (NeurIPS, 2023)

Forecasting subcritical cylinder wakes with Fourier Neural Operators. - Peter I Renn; Cong Wang; Sahin Lale; Zongyi Li; Anima Anandkumar; Morteza Gharib (CoRR, 2023)

The Nonlocal Neural Operator: Universal Approximation. - Samuel Lanthaler; Zongyi Li; Andrew M. Stuart (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)

Plasma Surrogate Modelling using Fourier Neural Operators. - Vignesh Gopakumar; Stanislas Pamela; Lorenzo Zanisi; Zongyi Li; Ander Gray; Daniel Brennand; Nitesh Bhatia; Gregory Stathopoulos; Matt J. Kusner; Marc Peter Deisenroth; Anima Anandkumar; JOREK Team; et al. (CoRR, 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)

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. - Zongyi Li; Daniel Zhengyu Huang; Burigede Liu; Anima Anandkumar (J. Mach. Learn. Res., 2023)

Bidirectional Gated Edge-Labeling Graph Recurrent Neural Network for Few-Shot Learning. - Qian Wang 001; Hefei Ling; Baiyan Zhang; Ping Li 021; Zongyi Li; Yuxuan Shi; Chengxin Zhao; Chuang Zhao 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

Gait Recognition via Gait Period Set. - Runsheng Wang; Yuxuan Shi; Hefei Ling; Zongyi Li; Ping Li 021; Boyuan Liu; Hanqing Zheng; Qian Wang 001 (IEEE Trans. Biom. Behav. Identity Sci., 2023)

Coupled Information-Epidemic Spreading Dynamics with Selective Mass Media. - Jiajun Xian; Zhihong Zhang; Zongyi Li; Dan Yang 005 (Entropy, 2023)

Quantum teleportation based on non-maximally entangled graph states. - Yi Ding; Yuzheng Wei; Zongyi Li; Min Jiang 009 (Quantum Inf. Process., 2023)

Research on information lossless teleportation via the W states. - Ao Wang; Yu-Zhen Wei; Zongyi Li; Min Jiang 009 (IET Quantum Commun., 2023)

Uncertainty-Guided Person Search Model with Auxiliary Shallow Feature Exploration. - Zongyi Li; Zhongyang Li; Yuxuan Shi; Hefei Ling; Jiazhong Chen; Runsheng Wang; Ping Li 021 (ICASSP, 2024)

Training-Free Diffusion Models for Content-Style Synthesis. - Ruipeng Xu; Fei Shen; Xu Xie; Zongyi Li (ICIC (10), 2024)

Enhancing Landslide Segmentation with Guide Attention Mechanism and Fast Fourier Transformer. - Kaiyu Yan; Fei Shen; Zongyi Li (ICIC (10), 2024)

Cross-modal Generation and Alignment via Attribute-guided Prompt for Unsupervised Text-based Person Retrieval. - Zongyi Li; Jianbo Li; Yuxuan Shi; Hefei Ling; Jiazhong Chen; Runsheng Wang; Shijuan Huang (IJCAI, 2024)

DBDH: A Dual-Branch Dual-Head Neural Network for Invisible Embedded Regions Localization. - Chengxin Zhao; Hefei Ling; Sijing Xie; Nan Sun; Zongyi Li; Yuxuan Shi; Jiazhong Chen (IJCNN, 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; Animashree Anandkumar (NeurIPS, 2024)

Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators. - Chuwei Wang; Julius Berner; Zongyi Li; Di Zhou; Jiayun Wang; Jane Bae; Anima Anandkumar (CoRR, 2024)

A Library for Learning Neural Operators. - Jean Kossaifi; Nikola B. Kovachki; Zongyi Li; David Pitt; Miguel Liu-Schiaffini; Robert Joseph George; Boris Bonev; Kamyar Azizzadenesheli; Julius Berner; Anima Anandkumar (CoRR, 2024)

Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs. - Robert Joseph George; Jiawei Zhao; Jean Kossaifi; Zongyi Li; Anima Anandkumar (Trans. Mach. Learn. Res., 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 021 (IEEE Trans. Multim., 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 021 (IEEE Trans. Biom. Behav. Identity Sci., 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., 2024)

Multi-hop joint remote state preparation of general hybrid entangled multi-qudit states via distinct Einstein-Podolsky-Rosen channels. - Zongyi Li; Yuzhen Wei; Min Jiang 009 (IET Quantum Commun., 2024)

Knowledge Consistency Distillation for Weakly Supervised One Step Person Search. - Zongyi Li; Yuxuan Shi; Hefei Ling; Jiazhong Chen; Runsheng Wang; Chengxin Zhao; Qian Wang 001; Shijuan Huang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Improving the Transferability of Adversarial Attacks on Face Recognition With Beneficial Perturbation Feature Augmentation. - Fengfan Zhou; Hefei Ling; Yuxuan Shi; Jiazhong Chen; Zongyi Li; Ping Li 021 (IEEE Trans. Comput. Soc. Syst., 2024)

Exploring the Potential of Large Vision-Language Models for Unsupervised Text-Based Person Retrieval. - Zongyi Li; Jianbo Li; Yuxuan Shi; Jiazhong Chen; Shijuan Huang; Linnan Tu; Fei Shen; Hefei Ling (AAAI, 2025)

AD2T: Adversarial Distortion Domain Translation for Robust Watermarking against Non-differentiable Distortions. - Chengxin Zhao; Hefei Ling; Jiazhong Chen; Han Fang; Zongyi Li; Sijing Xie (ICASSP, 2025)

ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation. - Zongyi Li; Shujie Hu; Shujie Liu 001; Long Zhou; Jeongsoo Choi; Lingwei Meng; Xun Guo; Jinyu Li 001; Hefei Ling; Furu Wei (ICLR, 2025)

TSAD: Temporal-spatial association differences-based unsupervised anomaly detection for multivariate time-series. - Hanbing Zhu; Nan Xiao; Hefei Ling; Zongyi Li; Yuxuan Shi; Chuang Zhao 001; Hongxu Ji; Ping Li 021; Hui Liu (Neurocomputing, 2025)

Ultrasound Lung Aeration Map via Physics-Aware Neural Operators. - Jiayun Wang; Oleksii Ostras; Masashi Sode; Bahareh Tolooshams; Zongyi Li; Kamyar Azizzadenesheli; Gianmarco Pinton; Anima Anandkumar (CoRR, 2025)

GSyncCode: Geometry Synchronous Hidden Code for One-step Photography Decoding. - Chengxin Zhao; Hefei Ling; Jialie Shen 001; Han Fang; Sijing Xie; Yaokun Fang; Zongyi Li; Ping Li 021 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models. - Yulei Qin; Gang Li; Zongyi Li; Zihan Xu; Yuchen Shi; Zhekai Lin; Xiao Cui; Ke Li 015; Xing Sun 001 (CoRR, 2025)

High precision PINNs in unbounded domains: application to singularity formulation in PDEs. - Yixuan Wang; Ziming Liu; Zongyi Li; Anima Anandkumar; Thomas Y. Hou 001 (CoRR, 2025)

Scale-Consistent Learning for Partial Differential Equations. - Zongyi Li; Samuel Lanthaler; Catherine Deng; Michael Chen; Yixuan Wang; Kamyar Azizzadenesheli; Anima Anandkumar (CoRR, 2025)

Geometric Operator Learning with Optimal Transport. - Xinyi Li; Zongyi Li; Nikola B. Kovachki; Anima Anandkumar (CoRR, 2025)

AIM-Bone: Texture Discrepancy Generation and Localization for Generalized Deepfake Detection. - Boyuan Liu; Xin Zhang; Hefei Ling; Zongyi Li; Runsheng Wang; Hanyuan Zhang; Ping Li 021 (IEEE Trans. Biom. Behav. Identity Sci., 2025)