Junge Zhang

Calibration-Aware Policy Optimization for Reasoning LLMs ACL 2026 Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs AAAI 2026 VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction CVPR 2026 Distribution Optimization under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation WACV 2025 EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning ACL 2025 IDEA-Bench: How Far are Generative Models from Professional Designing? CVPR 2025 Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling AAAI 2025 Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes ICCV 2025 ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning IJCAI 2024 BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning AAAI 2024 Information Bottleneck Based Data Correction in Continual Learning ECCV 2024 NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields AAAI 2024 Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks IJCAI 2024 Position: Foundation Agents as the Paradigm Shift for Decision Making ICML 2024 ProAgent: Building Proactive Cooperative Agents with Large Language Models AAAI 2024 TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient AAAI 2024 Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks IJCAI 2023 S-NeRF: Neural Radiance Fields for Street Views ICLR 2023 Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks AAAI 2023 Coordinated Proximal Policy Optimization NeurIPS 2021 Counter-Contrastive Learning for Language GANs EMNLP 2021 Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning AAAI 2021 SOFT: Softmax-free Transformer with Linear Complexity NeurIPS 2021 Composing Good Shots by Exploiting Mutual Relations CVPR 2020 Learning to Learn Cropping Models for Different Aspect Ratio Requirements CVPR 2020 Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019 Few-Shot Image Recognition With Knowledge Transfer ICCV 2019 SparseMask: Differentiable Connectivity Learning for Dense Image Prediction ICCV 2019 Transductive Zero-Shot Learning via Visual Center Adaptation AAAI 2019 Transductive Zero-Shot Learning with Visual Structure Constraint NeurIPS 2019 A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping CVPR 2018 Discriminative Learning of Latent Features for Zero-Shot Recognition CVPR 2018 Fast End-to-End Trainable Guided Filter CVPR 2018 FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs IJCAI 2016 Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation ICCV 2015 GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs CVPR 2015 Deformable Object Matching via Deformation Decomposition based 2D Label MRF CVPR 2014