| 2026 | ACL | ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents. | Zhuofeng Li, Yi Lu, Dongfu Jiang, Haoxiang Zhang, Yuyang Bai, Chuan Li, Yu Wang, Shuiwang Ji, Jianwen Xie, Yu Zhang |
| 2026 | WACV | CVP: Central-Peripheral Vision-Inspired Multimodal Model for Spatial Reasoning. | Zeyuan Chen, Xiang Zhang, Haiyang Xu, Jianwen Xie, Zhuowen Tu |
| 2025 | EMNLP | DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic. | Yuheng Wu, Jianwen Xie, Denghui Zhang, Zhaozhuo Xu |
| 2025 | EMNLP | Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. | Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu |
| 2025 | ICCV | Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark. | Enxin Song, Wenhao Chai, Weili Xu, Jianwen Xie, Yuxuan Liu, Gaoang Wang |
| 2025 | ICCV | 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 |
| 2025 | ICML | 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 |
| 2024 | ICLR | Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. | Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao |
| 2023 | AAAI | 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 |
| 2023 | AAAI | CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. | Yang Zhao, Jianwen Xie, Ping Li |
| 2023 | AISTATS | Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. | Yaxuan Zhu, Jianwen Xie, Ping Li |
| 2022 | AAAI | 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 |
| 2022 | AAAI | Energy-Based Generative Cooperative Saliency Prediction. | Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes |
| 2022 | CVPR | 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 |
| 2022 | ICLR | 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 |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. | Jianwen Xie, Zilong Zheng, Ping Li |
| 2021 | CIKM | MixBERT for Image-Ad Relevance Scoring in Advertising. | Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li |
| 2021 | CVPR | Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction. | Dongsheng An, Jianwen Xie, Ping Li |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Semi-Supervised Video Deraining With Dynamical Rain Generator. | Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng |
| 2021 | CVPR | Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning. | Zilong Zheng, Jianwen Xie, Ping Li |
| 2021 | ICLR | Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling. | Yang Zhao, Jianwen Xie, Ping Li |
| 2020 | AAAI | 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 |
| 2020 | ECCV | Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection. | Jing Zhang, Jianwen Xie, Nick Barnes |
| 2019 | AAAI | Learning Dynamic Generator Model by Alternating Back-Propagation through Time. | Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu |
| 2019 | AAAI | 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 |
| 2019 | ICCV | Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. | Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal |
| 2019 | ICLR | 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 |
| 2018 | AAAI | Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching. | Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu |
| 2018 | CVPR | Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. | Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu |
| 2018 | CVPR | Learning Descriptor Networks for 3D Shape Synthesis and Analysis. | Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu |
| 2018 | CVPR | 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 |
| 2017 | CVPR | Generative Hierarchical Learning of Sparse FRAME Models. | Jianwen Xie, Yifei Xu, Erik Nijkamp, Ying Nian Wu, Song-Chun Zhu |
| 2017 | CVPR | Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet. | Jianwen Xie, Song-Chun Zhu, Ying Nian Wu |
| 2017 | ICCV | Super-Trajectory for Video Segmentation. | Wenguan Wang, Jianbing Shen, Jianwen Xie, Fatih Porikli |
| 2016 | ICML | A Theory of Generative ConvNet. | Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu |
| 2014 | CVPR | Learning Inhomogeneous FRAME Models for Object Patterns. | Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu |
| 2009 | ICNC | Vehicle Routing Problem with Time Windows: A Hybrid Particle Swarm Optimization Approach. | Xiaoxiang Liu, Weigang Jiang, Jianwen Xie |