Jiang, Zhe

22 publications

ICLR 2026 NLI : Non-Uniform Linear Interpolation Approximation of Nonlinear Operations for Efficient LLMs Inference Jiangyong Yu, Xiaomeng Han, Xing Hu, Chen Xu, Zhe Jiang, Dawei Yang

ICLR 2026 Temporally Detailed Hypergraph Neural ODE for Disease Progression Modeling Tingsong Xiao, Yao An Lee, Zelin Xu, Yupu Zhang, Zibo Liu, Yu Huang, Jiang Bian, Jingchuan Guo, Zhe Jiang

ICML 2025 CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes Zelin Xu, Yupu Zhang, Tingsong Xiao, Maitane Olabarrieta Lizaso, Jose M. Gonzalez-Ondina, Zibo Liu, Shigang Chen, Zhe Jiang

NeurIPS 2025 DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction Yupu Zhang, Zelin Xu, Tingsong Xiao, Gustavo Seabra, Yanjun Li, Chenglong Li, Zhe Jiang

ICLR 2025 OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting Xing Hu, Yuan Cheng, Dawei Yang, Zhixuan Chen, Zukang Xu, JiangyongYu, Xuchen, Zhihang Yuan, Zhe Jiang, Sifan Zhou

AAAI 2025 Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia

AAAI 2025 Pushing the Limits of BFP on Narrow Precision LLM Inference Hui Wang, Yuan Cheng, Xiaomeng Han, Zhengpeng Zhao, Dawei Yang, Zhe Jiang

TMLR 2025 Spatio-Temporal Partial Sensing Forecast of Long-Term Traffic Zibo Liu, Zhe Jiang, Zelin Xu, Tingsong Xiao, Zhengkun Xiao, Yupu Zhang, Haibo Wang, Shigang Chen

NeurIPS 2025 Table as a Modality for Large Language Models Liyao Li, Chao Ye, Wentao Ye, Yifei Sun, Zhe Jiang, Haobo Wang, Jiaming Tian, Yiming Zhang, Ningtao Wang, Xing Fu, Gang Chen, Junbo Zhao

AAAI 2025 XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications Tingsong Xiao, Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang, Zibo Liu, Shigang Chen, My T. Thai, Jiang Bian, Parisa Rashidi, Zhe Jiang

IJCAI 2024 EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou

AAAI 2024 SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu

AAAI 2024 Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou

NeurIPS 2023 A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini

NeurIPSW 2023 Infusing Spatial Knowledge into Deep Learning for Earth Science: A Hydrological Application Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang

AAAI 2022 Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-Level Learning Framework Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam

AAAI 2022 STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang

CVPR 2020 Learning Event-Based Motion Deblurring Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy Ren, Jiancheng Lv, Yebin Liu

ECCV 2020 Learning Event-Driven Video Deblurring and Interpolation Songnan Lin, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen, Jimmy Ren

ECCV 2020 Learning to See in the Dark with Events Song Zhang, Yu Zhang, Zhe Jiang, Dongqing Zou, Jimmy Ren, Bin Zhou

AAAI 2020 Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan

CVPR 2019 Structure-Preserving Stereoscopic View Synthesis with Multi-Scale Adversarial Correlation Matching Yu Zhang, Dongqing Zou, Jimmy S. Ren, Zhe Jiang, Xiaohao Chen