Fuchun Sun

Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning AAAI 2026 Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling ICML 2025 Towards the Causal Complete Cause of Multi-Modal Representation Learning ICML 2025 Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks AAAI 2025 BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction ICLR 2024 Small Scale Data-Free Knowledge Distillation CVPR 2024 OMPO: A Unified Framework for RL under Policy and Dynamics Shifts ICML 2024 IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation ICML 2024 Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic ICML 2024 ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization ICML 2024 Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning AAAI 2024 AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation ECCV 2024 Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels NIPS 2024 Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL ICML 2024 Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments ICML 2024 Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective AAAI 2023 Compacting Binary Neural Networks by Sparse Kernel Selection CVPR 2023 Measuring Acoustics with Collaborative Multiple Agents IJCAI 2023 Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos ICCV 2023 Subequivariant Graph Reinforcement Learning in 3D Environments ICML 2023 Timestamp-Supervised Action Segmentation from the Perspective of Clustering IJCAI 2023 Robust Causal Graph Representation Learning against Confounding Effects AAAI 2023 Sound Adversarial Audio-Visual Navigation ICLR 2022 When to Update Your Model: Constrained Model-based Reinforcement Learning NIPS 2022 Embodied Multi-Agent Task Planning from Ambiguous Instruction RSS 2022 Sim2Real Object-Centric Keypoint Detection and Description AAAI 2022 Causal Discovery for Linear Mixed Data CLEAR 2022 Bootstrapping Informative Graph Augmentation via A Meta Learning Approach IJCAI 2022 Multimodal Token Fusion for Vision Transformers CVPR 2022 Adversarial Texture for Fooling Person Detectors in the Physical World CVPR 2022 Bridged Transformer for Vision and Point Cloud 3D Object Detection CVPR 2022 SNAKE: Shape-aware Neural 3D Keypoint Field NIPS 2022 Equivariant Graph Mechanics Networks with Constraints ICLR 2022 Adversarial Option-Aware Hierarchical Imitation Learning ICML 2021 Evaluations of the Gap between Supervised and Reinforcement Lifelong Learning on Robotic Manipulation Tasks CORL 2021 Embodied Semantic Scene Graph Generation CORL 2021 Sub-Bit Neural Networks: Learning To Compress and Accelerate Binary Neural Networks ICCV 2021 MQA: Answering the Question via Robotic Manipulation RSS 2021 Multi-Agent Embodied Question Answering in Interactive Environments ECCV 2020 Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 Single Satellite Optical Imagery Dehazing using SAR Image Prior Based on conditional Generative Adversarial Networks WACV 2020 Deep Multimodal Fusion by Channel Exchanging NIPS 2020 Towards Embodied Scene Description RSS 2020 Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation CVPR 2020 Resolution Switchable Networks for Runtime Efficient Image Recognition ECCV 2020 A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning ECCV 2020 Task Transfer by Preference-Based Cost Learning AAAI 2019 Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement NIPS 2019 Deep Feature Pyramid Reconfiguration for Object Detection ECCV 2018 Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding NIPS 2017 RON: Reverse Connection With Objectness Prior Networks for Object Detection CVPR 2017 MAT: A Multimodal Attentive Translator for Image Captioning IJCAI 2017 HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection CVPR 2016 Learning Stable Linear Dynamical Systems with the Weighted Least Square Method IJCAI 2016 Sparse Coding and Dictionary Learning With Linear Dynamical Systems CVPR 2016 Robust Kernel Dictionary Learning Using a Whole Sequence Convergent Algorithm IJCAI 2015 Scalable Gaussian Process Regression Using Deep Neural Networks IJCAI 2015