Ya-Qin Zhang

23 papers · 2022–2026 · 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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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (59) 🤝 Dynamic Duo (10)

🤝 Dynamic Duo (10) 🏆 Grand Slam ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🌈 Renaissance Researcher (6) 📈 Trend Setter 🗃️ Keyword Collector (123)

Venues

ICLR (8) CVPR (5) ICML (3) AAAI (2) NeurIPS (2) ACL (1) EMNLP (1) ICCV (1)

Top co-authors

Jingjing Liu (10) Xiaoxue Chen (5) Tongda Xu (5) Xianyuan Zhan (5) Yan Wang (5) Jianxiong Li (5) Hao Zhao (5) Yanyan Lan (4) Yang Liu (4) Wei-Ying Ma (4)

Research topics

Deep Learning (15) Machine Learning (14) Computer Vision (9) Artificial Intelligence (8) Core AI (7) Models (7) Optimization & Theory (6) Processing (6) Learning Types · Machine Learning (5) Learning Types · Deep Learning (5) Reinforcement Learning (4) Analysis (4) Application Areas (4) Core Methods (3) Methods (3)

Keywords

virtual screening (3) diffusion model (2) offline reinforcement learning (2) semantic parsing (2) rate-distortion optimization (2) perceptual image compression (2) multi-task learning (1) zero-shot learning (1) representation learning (1) transfer learning (1) similarity search (1) curriculum learning (1) knowledge distillation (1) policy optimization (1) reinforcement learning (1) referring expression (1) scene reconstruction (1) image generation (1) image compression (1) policy learning (1)

Papers

DGGT: Feedforward 4D Reconstruction of Dynamic Driving Scenes using Unposed Images CVPR 2026 Learning Protein–Ligand Binding in Hyperbolic Space AAAI 2026 S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening AAAI 2026 Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning ACL 2026 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion ICML 2025 InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling ICCV 2025 PICD: Versatile Perceptual Image Compression with Diffusion Rendering CVPR 2025 Redefining the task of Bioactivity Prediction ICLR 2025 Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs ICLR 2025 Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior ICLR 2025 Universal Actions for Enhanced Embodied Foundation Models CVPR 2025 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning ICML 2024 FuseGen: PLM Fusion for Data-generation based Zero-shot Learning EMNLP 2024 Idempotence and Perceptual Image Compression ICLR 2024 Query-Policy Misalignment in Preference-Based Reinforcement Learning ICLR 2024 VFLAIR: A Research Library and Benchmark for Vertical Federated Learning ICLR 2024 Bit Allocation using Optimization ICML 2023 DPF: Learning Dense Prediction Fields With Weak Supervision CVPR 2023 Idempotent Learned Image Compression with Right-Inverse NeurIPS 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards ICLR 2023 When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning ICLR 2023 Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing CVPR 2022 TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation NeurIPS 2022