Jianwen Xie - RankMe

129 papers A* 35A 2Misc 2Journal 82Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation. CoRR Chen Si, Yulin Liu, Bo Ai, Jianwen Xie, Rolandos Alexandros Potamias, Chuanxia Zheng, Hao Su
2026	J	`jnl`	Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic Potentials. Trans. Mach. Learn. Res. Cong Fu, Yuchao Lin, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Küçükbenli, Xiaofeng Qian, Shuiwang Ji
2026	J	`jnl`	GraphDancer: Training LLMs to Explore and Reason over Graphs via Curriculum Reinforcement Learning. CoRR Yuyang Bai, Zhuofeng Li, Ping Nie, Jianwen Xie, Yu Zhang
2026	J	`jnl`	Inference-Time Rethinking with Latent Thought Vectors for Math Reasoning. CoRR Deqian Kong, Minglu Zhao, Aoyang Qin, Bo Pang, Chenxin Tao, David Hartmann, Edouardo Honig, Dehong Xu, Amit Kumar, Matthew Sarte, Chuan Li, Jianwen Xie, Ying Nian Wu
2026	J	`jnl`	OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis. CoRR Zhuofeng Li, Dongfu Jiang, Xueguang Ma, Haoxiang Zhang, Ping Nie, Yuyu Zhang, Kai Zou, Jianwen Xie, Yu Zhang, Wenhu Chen
2026	J	`jnl`	PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction. CoRR Xiang Zhang, Sohyun Yoo, Hongrui Wu, Chuan Li, Jianwen Xie, Zhuowen Tu
2026	J	`jnl`	SG-VLA: Learning Spatially-Grounded Vision-Language-Action Models for Mobile Manipulation. CoRR Ruisen Tu, Arth Shukla, Sohyun Yoo, Xuanlin Li, Junxi Li, Jianwen Xie, Hao Su, Zhuowen Tu
2025	J	`jnl`	A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures. CoRR Keqiang Yan, Montgomery Bohde, Andrii Kryvenko, Ziyu Xiang, Kaiji Zhao, Siya Zhu, Saagar Kolachina, Doguhan Saritürk, Jianwen Xie, Raymundo Arróyave, Xiaoning Qian, Xiaofeng Qian, Shuiwang Ji
2025	J	`jnl`	Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic Potentials. CoRR Cong Fu, Yuchao Lin, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Küçükbenli, Xiaofeng Qian, Shuiwang Ji
2025	J	`jnl`	CVP: Central-Peripheral Vision-Inspired Multimodal Model for Spatial Reasoning. CoRR Zeyuan Chen, Xiang Zhang, Haiyang Xu, Jianwen Xie, Zhuowen Tu
2025	A*	`conf`	DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic. EMNLP Yuheng Wu, Jianwen Xie, Denghui Zhang, Zhaozhuo Xu
2025	J	`jnl`	DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic. CoRR Yuheng Wu, Jianwen Xie, Denghui Zhang, Zhaozhuo Xu
2025	J	`jnl`	DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion. CoRR Qingcheng Zhao, Xiang Zhang, Haiyang Xu, Zeyuan Chen, Jianwen Xie, Yuan Gao, Zhuowen Tu
2025	J	`jnl`	EdiVal-Agent: An Object-Centric Framework for Automated, Scalable, Fine-Grained Evaluation of Multi-Turn Editing. CoRR 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
2025	J	`jnl`	FFT-Accelerated Auxiliary Variable MCMC for Fermionic Lattice Models: A Determinant-Free Approach with O(N\log N) Complexity. CoRR Deqian Kong, Shi Feng, Jianwen Xie, Ying Nian Wu
2025	J	`jnl`	In-the-Flow Agentic System Optimization for Effective Planning and Tool Use. CoRR Zhuofeng Li, Haoxiang Zhang, Seungju Han, Sheng Liu, Jianwen Xie, Yu Zhang, Yejin Choi, James Zou, Pan Lu
2025	J	`jnl`	Latent Adaptive Planner for Dynamic Manipulation. CoRR Donghun Noh, Deqian Kong, Minglu Zhao, Andrew Lizarraga, Jianwen Xie, Ying Nian Wu, Dennis W. Hong
2025	J	`jnl`	Latent Space Energy-based Neural ODEs. Trans. Mach. Learn. Res. Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang
2025	A*	`conf`	Latent Thought Models with Variational Bayes Inference-Time Computation. ICML Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu
2025	J	`jnl`	Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity. CoRR Yide Ran, Wentao Guo, Jingwei Sun, Yanzhou Pan, Xiaodong Yu, Hao Wang, Jianwen Xie, Yiran Chen, Denghui Zhang, Zhaozhuo Xu
2025	J	`jnl`	Natural Language Guided Ligand-Binding Protein Design. CoRR Zhenqiao Song, Ramith Hettiarachchi, Chuan Li, Jianwen Xie, Lei Li
2025	J	`jnl`	OAT-Rephrase: Optimization-Aware Training Data Rephrasing for Zeroth-Order LLM Fine-Tuning. CoRR Jikai Long, Zijian Hu, Xiaodong Yu, Jianwen Xie, Zhaozhuo Xu
2025	J	`jnl`	OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps. CoRR Bingnan Li, Chen-Yu Wang, Haiyang Xu, Xiang Zhang, Ethan Armand, Divyansh Srivastava, Xiaojun Shan, Zeyuan Chen, Jianwen Xie, Zhuowen Tu
2025	J	`jnl`	Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective. CoRR Jingyang Ou, Jiaqi Han, Minkai Xu, Shaoxuan Xu, Jianwen Xie, Stefano Ermon, Yi Wu, Chongxuan Li
2025	J	`jnl`	Scalable Language Models with Posterior Inference of Latent Thought Vectors. CoRR Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu
2025	J	`jnl`	SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning. CoRR Wufei Ma, Yu-Cheng Chou, Qihao Liu, Xingrui Wang, Celso De Melo, Jieneng Chen, Jianwen Xie, Alan L. Yuille
2025	J	`jnl`	Super-Resolution Reconstruction of Infrared Images With Edge-Enhanced and Variable Activation Network. IEEE Trans. Instrum. Meas. Lei Hu, Jianwen Xie, Jiachen Ruan, Yunhong Li, Yongmei Zhang
2025	J	`jnl`	Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations. CoRR Yuchao Lin, Cong Fu, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Küçükbenli, Xiaofeng Qian, Shuiwang Ji
2025	J	`jnl`	To Compress or Not? Pushing the Frontier of Lossless GenAI Model Weights Compression with Exponent Concentration. CoRR Zeyu Yang, Tianyi Zhang, Jianwen Xie, Chuan Li, Zhaozhuo Xu, Anshumali Shrivastava
2025	J	`jnl`	TriDiff-4D: Fast 4D Generation through Diffusion-based Triplane Re-posing. CoRR Eddie Pokming Sheung, Qihao Liu, Wufei Ma, Prakhar Kaushik, Jianwen Xie, Alan L. Yuille
2025	—	`conf`	Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark. ICCVW Enxin Song, Wenhao Chai, Weili Xu, Jianwen Xie, Yuxuan Liu, Gaoang Wang
2025	J	`jnl`	Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark. CoRR Enxin Song, Wenhao Chai, Weili Xu, Jianwen Xie, Yuxuan Liu, Gaoang Wang
2025	J	`jnl`	VideoNSA: Native Sparse Attention Scales Video Understanding. CoRR Enxin Song, Wenhao Chai, Shusheng Yang, Ethan Armand, Xiaojun Shan, Haiyang Xu, Jianwen Xie, Zhuowen Tu
2025	A*	`conf`	Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. EMNLP Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu
2025	J	`jnl`	Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. CoRR Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu
2024	J	`jnl`	Dual-Space Optimization: Improved Molecule Sequence Design by Latent Prompt Transformer. CoRR Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming Xu, Shuanghong Xue, Pei Lin, Sanping Zhou, Sheng Zhong, Nanning Zheng, Ying Nian Wu
2024	J	`jnl`	Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space. CoRR Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, Ying Nian Wu
2024	A*	`conf`	Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference. NeurIPS Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
2024	J	`jnl`	Latent Plan Transformer: Planning as Latent Variable Inference. CoRR Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
2024	J	`jnl`	Latent Space Energy-based Neural ODEs. CoRR Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang
2024	A*	`conf`	Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. ICLR Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao
2024	A*	`conf`	Molecule Design by Latent Prompt Transformer. NeurIPS Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming Xu, Shuanghong Xue, Pei Lin, Sanping Zhou, Sheng Zhong, Nanning Zheng, Ying Nian Wu
2023	A*	`conf`	A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. AAAI Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li
2023	J	`jnl`	A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference. CoRR Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li
2023	J	`jnl`	An Energy-Based Prior for Generative Saliency. IEEE Trans. Pattern Anal. Mach. Intell. Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2023	A*	`conf`	CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. AAAI Yang Zhao, Jianwen Xie, Ping Li
2023	J	`jnl`	CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. CoRR Yang Zhao, Jianwen Xie, Ping Li
2023	J	`jnl`	Energy-Based Continuous Inverse Optimal Control. IEEE Trans. Neural Networks Learn. Syst. Yifei Xu, Jianwen Xie, Tianyang Zhao, Chris L. Baker, Yibiao Zhao, Ying Nian Wu
2023	J	`jnl`	Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. CoRR Yaxuan Zhu, Jianwen Xie, Yingnian Wu, Ruiqi Gao
2023	A	`conf`	Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. AISTATS Yaxuan Zhu, Jianwen Xie, Ping Li
2023	J	`jnl`	Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. CoRR Yaxuan Zhu, Jianwen Xie, Ping Li
2023	J	`jnl`	Molecule Design by Latent Prompt Transformer. CoRR Deqian Kong, Yuhao Huang, Jianwen Xie, Ying Nian Wu
2023	J	`jnl`	Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation. CoRR Weinan Song, Yaxuan Zhu, Lei He, Yingnian Wu, Jianwen Xie
2023	J	`jnl`	STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models. CoRR Belhal Karimi, Jianwen Xie, Ping Li
2022	A*	`conf`	A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. ICLR Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li
2022	J	`jnl`	A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. CoRR Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li
2022	J	`jnl`	An Energy-Based Prior for Generative Saliency. CoRR Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2022	A*	`conf`	Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel. CVPR Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng, Kwan-Yee K. Wong
2022	J	`jnl`	CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. CoRR Khoa D. Doan, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li
2022	J	`jnl`	Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
2022	A*	`conf`	Energy-Based Generative Cooperative Saliency Prediction. AAAI Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes
2022	J	`jnl`	Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
2022	A*	`conf`	Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion. AAAI Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu
2022	J	`jnl`	Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation. IEEE Trans. Pattern Anal. Mach. Intell. Yuanlu Xu, Wenguan Wang, Tengyu Liu, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu
2021	J	`jnl`	Energy-Based Generative Cooperative Saliency Prediction. CoRR Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes
2021	A*	`conf`	Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification. CVPR Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
2021	A*	`conf`	Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation. AAAI Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
2021	J	`jnl`	Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation. CoRR Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
2021	A*	`conf`	Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction. CVPR Dongsheng An, Jianwen Xie, Ping Li
2021	A*	`conf`	Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling. ICLR Yang Zhao, Jianwen Xie, Ping Li
2021	A*	`conf`	Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. AAAI Jianwen Xie, Zilong Zheng, Ping Li
2021	J	`jnl`	Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns. IEEE Trans. Pattern Anal. Mach. Intell. Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2021	A*	`conf`	Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. NeurIPS Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2021	J	`jnl`	Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. CoRR Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2021	A	`conf`	MixBERT for Image-Ad Relevance Scoring in Advertising. CIKM Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li
2021	A*	`conf`	On Path Integration of Grid Cells: Group Representation and Isotropic Scaling. NeurIPS Ruiqi Gao, Jianwen Xie, Xue-Xin Wei, Song-Chun Zhu, Ying Nian Wu
2021	A*	`conf`	Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning. CVPR Zilong Zheng, Jianwen Xie, Ping Li
2021	J	`jnl`	Revisiting Video Saliency Prediction in the Deep Learning Era. IEEE Trans. Pattern Anal. Mach. Intell. Wenguan Wang, Jianbing Shen, Jianwen Xie, Ming-Ming Cheng, Haibin Ling, Ali Borji
2021	A*	`conf`	Semi-Supervised Video Deraining With Dynamical Rain Generator. CVPR Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng
2021	J	`jnl`	Semi-Supervised Video Deraining with Dynamical Rain Generator. CoRR Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng
2021	J	`jnl`	Unsupervised Single Image Super-resolution Under Complex Noise. CoRR Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng
2020	J	`jnl`	A Representational Model of Grid Cells Based on Matrix Lie Algebras. CoRR Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Cooperative Training of Descriptor and Generator Networks. IEEE Trans. Pattern Anal. Mach. Intell. Jianwen Xie, Yang Lu, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification. CoRR Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. CoRR Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. CoRR Jianwen Xie, Zilong Zheng, Ping Li
2020	—	`conf`	Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection. ECCV (17) Jing Zhang, Jianwen Xie, Nick Barnes
2020	J	`jnl`	Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection. CoRR Jing Zhang, Jianwen Xie, Nick Barnes
2020	A*	`conf`	Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. AAAI Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
2019	J	`jnl`	Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition. CoRR Zhanzhan Cheng, Jing Lu, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu
2019	A*	`conf`	Learning Dynamic Generator Model by Alternating Back-Propagation through Time. AAAI Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
2019	J	`jnl`	Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns. CoRR Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2019	A*	`conf`	Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. ICCV Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
2019	J	`jnl`	Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. CoRR Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
2019	—	`conf`	Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion. ICLR (Poster) Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2019	J	`jnl`	Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1. CoRR Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2019	J	`jnl`	Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. CoRR Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
2019	J	`jnl`	Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. CoRR Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
2019	J	`jnl`	Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model. CoRR Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
2019	J	`jnl`	Representation Learning: A Statistical Perspective. CoRR Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu
2019	A*	`conf`	Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection. AAAI Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu
2019	A*	`conf`	Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. NeurIPS Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
2018	A*	`conf`	A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects. CVPR Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu
2018	A*	`conf`	Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching. AAAI Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu
2018	A*	`conf`	Learning Descriptor Networks for 3D Shape Synthesis and Analysis. CVPR Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
2018	J	`jnl`	Learning Descriptor Networks for 3D Shape Synthesis and Analysis. CoRR Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
2018	J	`jnl`	Learning Dynamic Generator Model by Alternating Back-Propagation Through Time. CoRR Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
2018	J	`jnl`	Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion. CoRR Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2018	J	`jnl`	Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection. CoRR Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu
2018	A*	`conf`	Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. CVPR Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu
2018	J	`jnl`	Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. CoRR Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu
2017	A*	`conf`	Generative Hierarchical Learning of Sparse FRAME Models. CVPR Jianwen Xie, Yifei Xu, Erik Nijkamp, Ying Nian Wu, Song-Chun Zhu
2017	A*	`conf`	Super-Trajectory for Video Segmentation. ICCV Wenguan Wang, Jianbing Shen, Jianwen Xie, Fatih Porikli
2017	A*	`conf`	Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet. CVPR Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2016	A*	`conf`	A Theory of Generative ConvNet. ICML Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu
2016	J	`jnl`	A Theory of Generative ConvNet. CoRR Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu
2016	J	`jnl`	Cooperative Training of Descriptor and Generator Networks. CoRR Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu
2016	J	`jnl`	Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms. CoRR Jianwen Xie, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, Ariana E. Anderson
2016	—	`—`	Generative Modeling and Unsupervised Learning in Computer Vision. Jianwen Xie
2016	J	`jnl`	Synthesizing Dynamic Textures and Sounds by Spatial-Temporal Generative ConvNet. CoRR Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2015	J	`jnl`	Learning Sparse FRAME Models for Natural Image Patterns. Int. J. Comput. Vis. Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu
2014	A*	`conf`	Learning Inhomogeneous FRAME Models for Object Patterns. CVPR Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu
2014	J	`jnl`	Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. NeuroImage Ariana E. Anderson, Pamela K. Douglas, Wesley T. Kerr, Virginia S. Haynes, Alan L. Yuille, Jianwen Xie, Ying Nian Wu, Jesse A. Brown, Mark S. Cohen
2009	—	`conf`	A Particle Swarm Optimization Algorithm with Crossover for Resource Constrained Project Scheduling Problem. SSME Ming Li, Yuanbiao Zhang, Weigang Jiang, Jianwen Xie
2009	—	`conf`	A particle swarm optimization algorithm with crossover for vehicle routing problem with time windows. CISched Weigang Jiang, Yuanbiao Zhang, Jianwen Xie
2009	—	`conf`	Feature Selection Algorithm Based on Association Rules Mining Method. ACIS-ICIS Jianwen Xie, Jianhua Wu, Qingquan Qian
2009	Misc	`conf`	Feature Subset Selection Using Association Rules. IC-AI Jianwen Xie, Weigang Jiang, Xiaoxiang Liu
2009	Misc	`conf`	Linear Programming With Fuzzy Relation Constraints: A Molecular-Diffusion Based Particle Swarm Optimization Approach. IC-AI Jianwen Xie, Xiaoxiang Liu, Weigang Jiang
2009	—	`conf`	Vehicle Routing Problem with Time Windows: A Hybrid Particle Swarm Optimization Approach. ICNC (4) Xiaoxiang Liu, Weigang Jiang, Jianwen Xie