Wang, Zun

19 publications

ICLR 2025 Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang

NeurIPS 2025 E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products Yunyang Li, Lin Huang, Zhihao Ding, Xinran Wei, Chu Wang, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Tao Qin, Mark Gerstein, Jia Zhang

ICML 2025 Efficient and Scalable Density Functional Theory Hamiltonian Prediction Through Adaptive Sparsity Erpai Luo, Xinran Wei, Lin Huang, Yunyang Li, Han Yang, Zaishuo Xia, Zun Wang, Chang Liu, Bin Shao, Jia Zhang

ICLR 2025 Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Samuel Harshe, Han Yang, Erpai Luo, Zun Wang, Jia Zhang, Chang Liu, Bin Shao, Mark Gerstein

ICLR 2025 FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields Shihao Shao, Haoran Geng, Zun Wang, Qinghua Cui

ICLRW 2025 HybriDNA: A Hybird Transformer-Mamba2 Long-Range DNA Language Model Mingqian Ma, Guoqing Liu, Chuan Cao, Pan Deng, Tri Dao, Albert Gu, Peiran Jin, Zhao Yang, Yingce Xia, Renqian Luo, Pipi Hu, Zun Wang, Yuan-Jyue Chen, Haiguang Liu, Tao Qin

TMLR 2025 Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance Liya Guo, Zun Wang, Chang Liu, Junzhe Li, Pipi Hu, Yi Zhu, Tao Qin

ICCV 2025 SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts Gengze Zhou, Yicong Hong, Zun Wang, Chongyang Zhao, Mohit Bansal, Qi Wu

TMLR 2025 SE3Set: Harnessing Equivariant Hypergraph Neural Networks for Molecular Representation Learning Hongfei Wu, Lijun Wu, Guoqing Liu, Zhirong Liu, Bin Shao, Zun Wang

NeurIPS 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao

ECCV 2024 InternVideo2: Scaling Foundation Models for Multimodal Video Understanding Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Jilan Xu, Zun Wang, Yansong Shi, Tianxiang Jiang, SongZe Li, Hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang

ICLR 2024 Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu

CVPR 2024 MVBench: A Comprehensive Multi-Modal Video Understanding Benchmark Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, Yi Liu, Zun Wang, Jilan Xu, Guo Chen, Ping Luo, Limin Wang, Yu Qiao

ECCV 2024 NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models Gengze Zhou, Yicong Hong, Zun Wang, Xin Eric Wang, Qi Wu

ICML 2024 Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu

TMLR 2024 Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models Yue Zhang, Ziqiao Ma, Jialu Li, Yanyuan Qiao, Zun Wang, Joyce Chai, Qi Wu, Mohit Bansal, Parisa Kordjamshidi

NeurIPS 2023 Efficiently Incorporating Quintuple Interactions into Geometric Deep Learning Force Fields Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao

ICCV 2023 Scaling Data Generation in Vision-and-Language Navigation Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao

CVPR 2022 Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation Yicong Hong, Zun Wang, Qi Wu, Stephen Gould