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← Authors

Ziyan Wang

25 papers · 2018–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (14)
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) πŸ† Keyword Champion πŸ† Grand Slam 🧬 Topic Evolution πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (22) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (117)

Conferences

CVPR (6) NIPS (6) AAAI (5) ACL (2) ICLR (2) ICML (2) ECCV (1) IJCAI (1)

Top co-authors

Yali Du (6) Jun Wang (5) Meng Fang (4) Giljoo Nam (3) Feng Huang (3) Zhankun Xiong (3) Wen Zhang (3) Stephen Lombardi (3) Michael ZollhΓΆfer (3) Jessica Hodgins (3)

Keywords

3d reconstruction (6) large language model (5) reinforcement learning (4) drug-drug interaction (3) volumetric rendering (3) game ai (3) domain adaptation (2) language model (2) image-based rendering (2) session-based recommendation (2) zero-shot learning (2) depth estimation (2) policy learning (2) graph neural network (2) game theory (1) contrastive learning (1) transfer learning (1) variational inference (1) active learning (1) few-shot learning (1)

Papers

Safe Multi-agent Reinforcement Learning with Natural Language Constraints AAAI 2026 From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models ACL 2026 Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure AAAI 2026 Towards Domain Adaptive Neural Contextual Bandits ICLR 2025 M$^3$HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality ICML 2025 Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation AAAI 2025 Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation AAAI 2025 PKAG-DDI: Pairwise Knowledge-Augmented Language Model for Drug-Drug Interaction Event Text Generation ACL 2025 FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images CVPR 2025 Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing ICLR 2025 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NIPS 2024 ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-modal Uniform Alignment IJCAI 2024 Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NIPS 2024 ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D Image CVPR 2024 Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NIPS 2023 Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction AAAI 2023 Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NIPS 2023 ChessGPT: Bridging Policy Learning and Language Modeling NIPS 2023 NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation CVPR 2023 HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture CVPR 2022 Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images ECCV 2022 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation ICML 2022 Learning Compositional Radiance Fields of Dynamic Human Heads CVPR 2021 A Parametric Top-View Representation of Complex Road Scenes CVPR 2019 Geometry-Aware Recurrent Neural Networks for Active Visual Recognition NIPS 2018