Jing Huo

23 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (6)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🤝 Dynamic Duo (19) 🗃️ Keyword Collector (77) ⚡ Prolific Year (5) 🚀 Conference Pioneer 💎 Century Club (20)

Conferences

ICLR (5) AAAI (4) CVPR (4) ICCV (3) IJCAI (3) ACL (2) ECCV (1) NIPS (1)

Top co-authors

Yang Gao (22) Wenbin Li (12) Lei Wang (7) Zheng Gu (4) Tianyu Ding (4) Tianpei Yang (4) Zixuan Chen (3) Fan Feng (3) Jiebo Luo (3) Yinghuan Shi (3)

Keywords

few-shot learning (5) metric learning (5) local representation (2) semantic alignment (2) vision-language model (2) transfer learning (2) reinforcement learning (1) contrastive learning (1) representation learning (1) feature learning (1) adversarial learning (1) robotic manipulation (1) image classification (1) matrix factorization (1) multimodal learning (1) style transfer (1) sparse coding (1) face recognition (1) feature embedding (1) sample efficiency (1)

Papers

Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning ACL 2026 ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation AAAI 2026 Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning ICLR 2025 Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration CVPR 2025 GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation ICLR 2025 Causal Information Prioritization for Efficient Reinforcement Learning ICLR 2025 Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment ICLR 2025 CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning ACL 2025 SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization NIPS 2024 Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation CVPR 2024 InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules ICLR 2024 Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery CVPR 2023 Manifold Alignment for Semantically Aligned Style Transfer ICCV 2021 LoFGAN: Fusing Local Representations for Few-Shot Image Generation ICCV 2021 Biased Feature Learning for Occlusion Invariant Face Recognition IJCAI 2020 Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition ECCV 2020 Learning Task-aware Local Representations for Few-shot Learning IJCAI 2020 Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020 Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning AAAI 2019 Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019 A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification ICCV 2019