Ya-Qin Zhang
22 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Cross-Pollinator (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (6)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(39)
π
Triple Crown
π±
Topic Pioneer
π
Grand Slam
π€
Dynamic Duo
(10)
ποΈ
Keyword Collector
(67)
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
π
Century Club
(19)
Conferences
ICLR (8)
CVPR (4)
ICML (3)
AAAI (2)
NIPS (2)
ACL (1)
EMNLP (1)
ICCV (1)
Top co-authors
Keywords
virtual screening
(2)
semantic parsing
(2)
contrastive learning
(1)
zero-shot learning
(1)
multi-task learning
(1)
image generation
(1)
curriculum learning
(1)
neural rendering
(1)
knowledge distillation
(1)
transfer learning
(1)
scene reconstruction
(1)
referring expression
(1)
image compression
(1)
instance segmentation
(1)
reinforcement learning
(1)
weak supervision
(1)
implicit representation
(1)
robot control
(1)
protein sequence
(1)
representation learning
(1)
Papers
SΒ²Drug: 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
Learning ProteinβLigand Binding in Hyperbolic Space
AAAI 2026
Universal Actions for Enhanced Embodied Foundation Models
CVPR 2025
PICD: Versatile Perceptual Image Compression with Diffusion Rendering
CVPR 2025
InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling
ICCV 2025
Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion
ICML 2025
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
ICLR 2025
Redefining the task of Bioactivity Prediction
ICLR 2025
Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs
ICLR 2025
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
ICLR 2024
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning
EMNLP 2024
Query-Policy Misalignment in Preference-Based Reinforcement Learning
ICLR 2024
Idempotence and Perceptual Image Compression
ICLR 2024
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
ICML 2024
Mind the Gap: Offline Policy Optimization for Imperfect Rewards
ICLR 2023
Bit Allocation using Optimization
ICML 2023
Idempotent Learned Image Compression with Right-Inverse
NIPS 2023
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning
ICLR 2023
DPF: Learning Dense Prediction Fields With Weak Supervision
CVPR 2023
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
CVPR 2022
TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation
NIPS 2022