Jianwen Xie

41 papers · 2014–2026 · 12 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🌍 Conference Polyglot (11) 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)

🌈 Renaissance Researcher (8) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🤝 Dynamic Duo (16) 🏆 Grand Slam 🔬 Deep Specialist (15) 🧬 Topic Evolution 🏆 Keyword Champion (8) 📈 Trend Setter 🗃️ Keyword Collector (196) 🚀 Conference Pioneer 🔥 Unstoppable (11) 💎 Century Club (40) ⚡ Prolific Year (5)

Conferences

CVPR (11) AAAI (9) NIPS (5) ICLR (4) ICCV (3) EMNLP (2) ICML (2) ACL (1) 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 ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents ACL 2026 Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly EMNLP 2025 Latent Thought Models with Variational Bayes Inference-Time Computation ICML 2025 Latent Adaptive Planner for Dynamic Manipulation CORL 2025 DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic EMNLP 2025 DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion ICCV 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 A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model ICLR 2022 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 Semi-Supervised Video Deraining With Dynamical Rain Generator CVPR 2021 Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NIPS 2021 On Path Integration of Grid Cells: Group Representation and Isotropic Scaling NIPS 2021 Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation AAAI 2021 Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler AAAI 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 Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling ICLR 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 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 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 A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects CVPR 2018 Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018 Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer CVPR 2018 Generative Hierarchical Learning of Sparse FRAME Models CVPR 2017 Super-Trajectory for Video Segmentation ICCV 2017 Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet CVPR 2017 A Theory of Generative ConvNet ICML 2016 Learning Inhomogeneous FRAME Models for Object Patterns CVPR 2014