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Jing Huo

24 papers · 2019–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (47) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (2) 🧬 Topic Evolution 🀝 Dynamic Duo (23) 🌈 Renaissance Researcher (5) ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (106)

Venues

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

Top co-authors

Yang Gao (23) Wenbin Li (12) Lei Wang (7) Tianyu Ding (4) Zheng Gu (4) Tianpei Yang (4) Zixuan Chen (4) Fan Feng (3) Yinghuan Shi (3) Jiebo Luo (3)

Research topics

Machine Learning (16) Artificial Intelligence (12) Core AI (10) Learning Types Β· Machine Learning (10) Deep Learning (8) Core Methods (8) Computer Vision (7) Reinforcement Learning (5) Application Areas (5) Analysis (4) Learning Paradigms (4) Learning Types Β· Deep Learning (4) Methods (4) Robotics (3) Capabilities (3)

Keywords

metric learning (5) few-shot learning (5) robotic manipulation (3) sample efficiency (2) long-horizon manipulation (2) semantic alignment (2) local representation (2) vision-language model (2) transfer learning (2) foundation model (2) reinforcement learning (1) feature learning (1) imitation learning (1) contrastive learning (1) representation learning (1) multi-task learning (1) style transfer (1) adversarial learning (1) image classification (1) sparse coding (1)

Papers

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