Keyan Ding
13 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (7)
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Conference Polyglot
(5)
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Dynamic Duo
(11)
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(11)
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Prolific Year
(5)
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Keyword Collector
(64)
Conferences
ACL (7)
NIPS (2)
AAAI (1)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
protein language model
(3)
knowledge graph
(3)
large language model
(3)
contrastive learning
(2)
self-supervised learning
(1)
data augmentation
(1)
reinforcement learning
(1)
preference optimization
(1)
domain generalization
(1)
multimodal learning
(1)
cross-modal learning
(1)
cross-modal retrieval
(1)
out-of-distribution generalization
(1)
knowledge base
(1)
elo rating
(1)
text generation
(1)
diffusion process
(1)
protein sequence
(1)
spectral analysis
(1)
instruction tuning
(1)
Papers
Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra
AAAI 2026
TIGER: Text-Informed Generalized Enzyme-Reaction Retrieval
ACL 2026
EventRAG: Enhancing LLM Generation with Event Knowledge Graphs
ACL 2025
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
ACL 2025
Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization
ACL 2025
Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning
ACL 2025
SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models
ICLR 2025
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
ACL 2024
DePLM: Denoising Protein Language Models for Property Optimization
NIPS 2024
Enhancing Cross Text-Molecule Learning by Self-Augmentation
ACL 2024
Knowledge-aware Reinforced Language Models for Protein Directed Evolution
ICML 2024
Graph Sampling-based Meta-Learning for Molecular Property Prediction
IJCAI 2023
Learning Invariant Molecular Representation in Latent Discrete Space
NIPS 2023