← Authors

Jianwen Xie

40 papers · 2014–2026 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (77) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🀝 Dynamic Duo (16) πŸ† Grand Slam πŸ”¬ Deep Specialist (15) 🧬 Topic Evolution πŸ† Keyword Champion (8) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (196) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (40) ⚑ Prolific Year (5)

Conferences

CVPR (11) AAAI (9) NIPS (5) ICLR (4) ICCV (3) EMNLP (2) ICML (2) AISTATS (1) CORL (1) ECCV (1) WACV (1)

Top co-authors

Ying Nian Wu (16) Song-chun Zhu (13) Ping Li (9) Zilong Zheng (8) Ruiqi Gao (7) Yaxuan Zhu (4) Deqian Kong (4) Yifei Xu (3) Nick Barnes (3) Minglu Zhao (3)

Keywords

energy-based model (10) generative model (10) markov chain monte carlo (8) langevin dynamics (8) latent variable model (4) variational inference (4) image generation (3) weakly supervised learning (3) convolutional network (2) semi-supervised learning (2) maximum likelihood (2) image super-resolution (2) maximum likelihood estimation (2) 3d reconstruction (2) video generation (2) unsupervised learning (2) attention mechanism (2) object classification (2) zero-shot learning (2) saliency prediction (2)

Papers

CVP: Central-Peripheral Vision-Inspired Multimodal Model for Spatial Reasoning WACV 2026
DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic EMNLP 2025
Latent Adaptive Planner for Dynamic Manipulation CORL 2025
DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion ICCV 2025
Latent Thought Models with Variational Bayes Inference-Time Computation ICML 2025
Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly EMNLP 2025
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood ICLR 2024
Molecule Design by Latent Prompt Transformer NIPS 2024
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference NIPS 2024
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference AAAI 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning AAAI 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation AISTATS 2023
Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel CVPR 2022
Energy-Based Generative Cooperative Saliency Prediction AAAI 2022
Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion AAAI 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model ICLR 2022
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler AAAI 2021
Semi-Supervised Video Deraining With Dynamical Rain Generator CVPR 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation AAAI 2021
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling NIPS 2021
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling ICLR 2021
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NIPS 2021
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification CVPR 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021
Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning CVPR 2021
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns AAAI 2020
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection ECCV 2020
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning NIPS 2019
Learning Dynamic Generator Model by Alternating Back-Propagation through Time AAAI 2019
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection AAAI 2019
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning ICCV 2019
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion ICLR 2019
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer CVPR 2018
Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects CVPR 2018
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet CVPR 2017
Generative Hierarchical Learning of Sparse FRAME Models CVPR 2017
Super-Trajectory for Video Segmentation ICCV 2017
A Theory of Generative ConvNet ICML 2016
Learning Inhomogeneous FRAME Models for Object Patterns CVPR 2014