Keyan Ding
13 papers · 2023–2026 · 6 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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π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (37) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π€ Dynamic Duo (12)
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Grand Slam
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Renaissance Researcher
(5)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Research topics
Artificial Intelligence
(11)
Machine Learning
(11)
Core AI
(10)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Natural Language Processing
(5)
Interdisciplinary
(4)
Knowledge & Reasoning
(4)
Representation
(4)
Science
(4)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Keywords
protein language model
(4)
large language model
(4)
knowledge graph
(3)
contrastive learning
(2)
preference learning
(1)
self-supervised learning
(1)
reinforcement learning
(1)
natural language generation
(1)
domain generalization
(1)
text generation
(1)
preference optimization
(1)
multimodal learning
(1)
cross-modal learning
(1)
cross-modal retrieval
(1)
instruction tuning
(1)
temporal reasoning
(1)
knowledge base
(1)
diffusion process
(1)
elo rating
(1)
out-of-distribution generalization
(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
Boosting LLMβs Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning
ACL 2025
Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization
ACL 2025
EventRAG: Enhancing LLM Generation with Event Knowledge Graphs
ACL 2025
SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models
ICLR 2025
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
ACL 2025
DePLM: Denoising Protein Language Models for Property Optimization
NeurIPS 2024
Enhancing Cross Text-Molecule Learning by Self-Augmentation
ACL 2024
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
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
NeurIPS 2023