Li, Zongyi

27 publications

ICLR 2026 Counterfactual LLM-Based Framework for Measuring Rhetorical Style Jingyi Qiu, Hong Chen, Zongyi Li

ICLR 2026 Learn the Ropes, Then Trust the Wins: Self-Imitation with Progressive Exploration for Agentic Reinforcement Learning Yulei Qin, Xiaoyu Tan, Zhengbao He, Gang Li, Haojia Lin, Zongyi Li, Zihan Xu, Yuchen Shi, Siqi Cai, Renting Rui, Shaofei Cai, Yuzheng Cai, Xuan Zhang, Sheng Ye, Ke Li, Xing Sun

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

NeurIPS 2025 Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling Linnan Tu, Lingwei Meng, Zongyi Li, Hefei Ling, Shijuan Huang

AAAI 2025 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

NeurIPS 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, Xing Sun

NeurIPSW 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

IJCAI 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

TMLR 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

NeurIPS 2024 Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar

NeurIPSW 2024 Scale-Consistent Learning with Neural Operators Zongyi Li, Samuel Lanthaler, Catherine Deng, Yixuan Wang, Kamyar Azizzadenesheli, Anima Anandkumar

JMLR 2023 Fourier Neural Operator with Learned Deformations for PDEs on General Geometries Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar

ACML 2023 FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation Zongyi Li, Hongbing Lyu, Jun Wang

NeurIPS 2023 Geometry-Informed Neural Operator for Large-Scale 3D PDEs Zongyi Li, Nikola Kovachki, Chris Choy, Boyi Li, Jean Kossaifi, Shourya Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Animashree Anandkumar

CVPRW 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

JMLR 2023 Neural Operator: Learning Maps Between Function Spaces with Applications to PDEs Nikola Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar

NeurIPSW 2023 Physics-Informed Neural Operators with Exact Differentiation on Arbitrary Geometries Colin White, Julius Berner, Jean Kossaifi, Mogab Elleithy, David Pitt, Daniel Leibovici, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar

ICLR 2022 Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro

NeurIPS 2022 Learning Chaotic Dynamics in Dissipative Systems Zongyi Li, Miguel Liu-Schiaffini, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar

AAAI 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

ICLR 2021 Fourier Neural Operator for Parametric Partial Differential Equations Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar

AISTATS 2020 Conditional Linear Regression Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan

NeurIPS 2020 Multipole Graph Neural Operator for Parametric Partial Differential Equations Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Andrew Stuart, Kaushik Bhattacharya, Anima Anandkumar

ICLRW 2020 Neural Operator: Graph Kernel Network for Partial Differential Equations Anima Anandkumar, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Nikola Kovachki, Zongyi Li, Burigede Liu, Andrew Stuart

AAAI 2018 Conditional Linear Regression Diego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan

AAAI 2018 Learning Abduction Under Partial Observability Brendan Juba, Zongyi Li, Evan Miller

AAAI 2018 Learning Abduction Using Partial Observability Brendan Juba, Zongyi Li, Evan Miller