Shuangjia Zheng
10 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (5) π£ Hot Topic Early Bird
π
Cross-Pollinator
(3)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(16)
π
Century Club
(10)
Conferences
IJCAI (3)
NIPS (3)
AAAI (2)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
graph neural network
(5)
molecular graph
(3)
representation learning
(2)
contrastive learning
(2)
message passing
(2)
molecular dynamics
(1)
relation reasoning
(1)
posterior sampling
(1)
bayesian optimization
(1)
sequence optimization
(1)
multi-modal learning
(1)
knowledge graph embedding
(1)
protein design
(1)
drug discovery
(1)
drug design
(1)
machine learning
(1)
binding site prediction
(1)
molecular representation
(1)
molecular property prediction
(1)
uncertainty quantification
(1)
Papers
Efficient Protein Optimization via Structure-aware Hamiltonian Dynamics
AAAI 2026
Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization
ICLR 2025
Multi-modal Contrastive Learning with Negative Sampling Calibration for Phenotypic Drug Discovery
CVPR 2025
ReactZyme: A Benchmark for Enzyme-Reaction Prediction
NIPS 2024
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction
IJCAI 2022
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
NIPS 2022
Communicative Message Passing for Inductive Relation Reasoning
AAAI 2021
Learning Attributed Graph Representation with Communicative Message Passing Transformer
IJCAI 2021
Communicative Representation Learning on Attributed Molecular Graphs
IJCAI 2020
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist
NIPS 2020