Xie, Jianwen

53 publications

ICLR 2026 Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics Aniketh Iyengar, Jiaqi Han, Pengwei Sun, Mingjian Jiang, Jianwen Xie, Stefano Ermon

TMLR 2026 Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic Potentials Cong Fu, Yuchao Lin, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Kucukbenli, Xiaofeng Qian, Shuiwang Ji

ICLR 2026 EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing Tianyu Chen, Yasi Zhang, Zhi Zhang, Peiyu Yu, Shu Wang, Zhendong Wang, Kevin Lin, Xiaofei Wang, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Jianwen Xie, Oscar Leong, Lijuan Wang, Ying Nian Wu, Mingyuan Zhou

ICLR 2026 In-the-Flow Agentic System Optimization for Effective Planning and Tool Use Zhuofeng Li, Haoxiang Zhang, Seungju Han, Sheng Liu, Jianwen Xie, Yu Zhang, Yejin Choi, James Zou, Pan Lu

ICLR 2026 Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity Yide Ran, Wentao Guo, Jingwei Sun, Yanzhou Pan, Xiaodong Yu, Hao Wang, Jianwen Xie, Yiran Chen, Denghui Zhang, Zhaozhuo Xu

ICLR 2026 Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective Jingyang Ou, Jiaqi Han, Minkai Xu, Shaoxuan Xu, Jianwen Xie, Stefano Ermon, Yi Wu, Chongxuan Li

ICLR 2026 Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning Ziwen Liu, Huawei Lin, Yide Ran, Denghui Zhang, Jianwen Xie, Chuan Li, Weijie Zhao, Zhaozhuo Xu

ICLR 2026 To Compress or Not? Pushing the Frontier of Lossless GenAI Model Weights Compression with Exponent Concentration Zeyu Yang, Tianyi Zhang, Jianwen Xie, Chuan Li, Zhaozhuo Xu, Anshumali Shrivastava

ICLR 2026 VideoNSA: Native Sparse Attention Scales Video Understanding Enxin Song, Wenhao Chai, Shusheng Yang, Ethan J. Armand, Xiaojun Shan, Haiyang Xu, Jianwen Xie, Zhuowen Tu

ICLR 2026 ``Noisier'’ Noise Contrastive Estimation Is (Almost) Maximum Likelihood Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Sirui Xie, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, Ying Nian Wu

ICCV 2025 DepR: Depth Guided Single-View Scene Reconstruction with Instance-Level Diffusion Qingcheng Zhao, Xiang Zhang, Haiyang Xu, Zeyuan Chen, Jianwen Xie, Yuan Gao, Zhuowen Tu

CoRL 2025 Latent Adaptive Planner for Dynamic Manipulation Donghun Noh, Deqian Kong, Minglu Zhao, Andrew Lizarraga, Jianwen Xie, Ying Nian Wu, Dennis Hong

TMLR 2025 Latent Space Energy-Based Neural ODEs Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang

ICML 2025 Latent Thought Models with Variational Bayes Inference-Time Computation Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu

NeurIPS 2025 OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps Bingnan Li, Chen-Yu Wang, Haiyang Xu, Xiang Zhang, Ethan J. Armand, Divyansh Srivastava, Xiaojun Shan, Zeyuan Chen, Jianwen Xie, Zhuowen Tu

NeurIPS 2025 SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning Wufei Ma, Yu-Cheng Chou, Qihao Liu, Xingrui Wang, Celso M de Melo, Jianwen Xie, Alan Yuille

NeurIPS 2025 Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations Yuchao Lin, Cong Fu, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Kucukbenli, Xiaofeng Qian, Shuiwang Ji

NeurIPS 2024 Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu

ICLR 2024 Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao

NeurIPS 2024 Molecule Design by Latent Prompt Transformer Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming Xu, Shuanghong Xue, Pei Lin, Sanping Zhou, Sheng Zhong, Nanning Zheng, Ying Nian Wu

AAAI 2023 A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li

AAAI 2023 CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning Yang Zhao, Jianwen Xie, Ping Li

AISTATS 2023 Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation Yaxuan Zhu, Jianwen Xie, Ping Li

NeurIPSW 2023 Molecule Design by Latent Prompt Transformer Deqian Kong, Yuhao Huang, Jianwen Xie, Ying Nian Wu

ICLR 2022 A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li

CVPR 2022 Blind Image Super-Resolution with Elaborate Degradation Modeling on Noise and Kernel Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng, Kwan-Yee K. Wong

AAAI 2022 Energy-Based Generative Cooperative Saliency Prediction Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes

AAAI 2022 Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu

CVPR 2021 Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

AAAI 2021 Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu

CVPR 2021 Learning Deep Latent Variable Models by Short-Run MCMC Inference with Optimal Transport Correction Dongsheng An, Jianwen Xie, Ping Li

ICLR 2021 Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling Yang Zhao, Jianwen Xie, Ping Li

AAAI 2021 Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler Jianwen Xie, Zilong Zheng, Ping Li

NeurIPS 2021 Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li

NeurIPS 2021 On Path Integration of Grid Cells: Group Representation and Isotropic Scaling Ruiqi Gao, Jianwen Xie, Xue-Xin Wei, Song-Chun Zhu, Ying Nian Wu

CVPR 2021 Patchwise Generative ConvNet: Training Energy-Based Models from a Single Natural Image for Internal Learning Zilong Zheng, Jianwen Xie, Ping Li

CVPR 2021 Semi-Supervised Video Deraining with Dynamical Rain Generator Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng

ECCV 2020 Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection Jing Zhang, Jianwen Xie, Nick Barnes

AAAI 2020 Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

AAAI 2019 Learning Dynamic Generator Model by Alternating Back-Propagation Through Time Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

ICCV 2019 Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

ICLR 2019 Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

AAAI 2019 Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu

NeurIPS 2019 Semantic-Guided Multi-Attention Localization for Zero-Shot Learning Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal

CVPR 2018 A Causal And-or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu

AAAI 2018 Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu

CVPR 2018 Learning Descriptor Networks for 3D Shape Synthesis and Analysis Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu

CVPR 2018 Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer Hao-Shu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu

CVPR 2017 Generative Hierarchical Learning of Sparse FRAME Models Jianwen Xie, Yifei Xu, Erik Nijkamp, Ying Nian Wu, Song-Chun Zhu

ICCV 2017 Super-Trajectory for Video Segmentation Wenguan Wang, Jianbing Shen, Jianwen Xie, Fatih Porikli

CVPR 2017 Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

ICML 2016 A Theory of Generative ConvNet Jianwen Xie, Yang Lu, Song-Chun Zhu, Yingnian Wu

CVPR 2014 Learning Inhomogeneous FRAME Models for Object Patterns Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu