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Zhilong Zhang

13 papers · 2023–2025 · 5 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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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (27) 🌍 Conference Polyglot Β· Silver 🐣 Hot Topic Early Bird πŸ‘‘ Triple Crown
🌈 Renaissance Researcher (5) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (65)

Venues

ICLR (5) ICML (4) NeurIPS (2) CVPR (1) Interspeech (1)

Top co-authors

Yang Yu (7) Bin CUI (4) Ling Yang (4) Yihao Sun (4) Junyin Ye (3) Tian Xu (3) Tian-Shuo Liu (3) Jingwei Liu (3) Xu-Hui Liu (2) Wentao Zhang (2)

Research topics

Machine Learning (10) Deep Learning (7) Models (6) Artificial Intelligence (5) Reinforcement Learning (5) Learning Types (5) Methods (5) Application Areas (4) Core AI (4) Computer Vision (3) Optimization & Theory (3) Generation (2) Learning Paradigms (2) Robotics (1) Speech & Audio (1)

Keywords

diffusion model (6) offline reinforcement learning (3) imitation learning (3) text-to-image generation (2) adversarial imitation learning (2) manifold learning (1) preference learning (1) adversarial learning (1) video generation (1) curriculum learning (1) image generation (1) self-supervised learning (1) speech recognition (1) sample complexity (1) image editing (1) function approximation (1) policy learning (1) adversarial training (1) image synthesis (1) bayesian inference (1)

Papers

Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning ICLR 2025 Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks ICML 2025 Improving Reward Model Generalization from Adversarial Process Enhanced Preferences ICML 2025 Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning ICLR 2025 Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing ICLR 2024 Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning ICML 2024 Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation ICLR 2024 Limited Preference Aided Imitation Learning from Imperfect Demonstrations ICML 2024 Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models ICLR 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NeurIPS 2024 Structure-Guided Adversarial Training of Diffusion Models CVPR 2024 Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition Interspeech 2023 Improving Diffusion-Based Image Synthesis with Context Prediction NeurIPS 2023