Zijing Liu
12 papers · 2021–2025 · 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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π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π Triple Crown π Century Club Β· Bronze
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Keyword Collector
(79)
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The Questioner
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Prolific Year Β· Productive
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Deep Learning
(6)
Application Areas
(6)
Learning Types Β· Deep Learning
(6)
Core AI
(5)
Core Methods
(4)
Interdisciplinary
(3)
Natural Language Processing
(3)
Learning Types Β· Machine Learning
(3)
Science
(3)
Healthcare & Medicine
(2)
Models
(2)
Research
(2)
Resources & Methods
(2)
Keywords
large language model
(3)
multimodal large language model
(2)
molecular representation
(2)
foundation model
(2)
low-rank adaptation
(2)
drug discovery
(2)
domain generalization
(1)
few-shot learning
(1)
reinforcement learning
(1)
factual accuracy
(1)
question answering
(1)
text generation
(1)
multimodal learning
(1)
adversarial training
(1)
matrix factorization
(1)
adversarial robustness
(1)
instruction tuning
(1)
neural network optimization
(1)
dimension reduction
(1)
domain adaptation
(1)
Papers
Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models
NAACL 2025
InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery
COLING 2025
Parameter-Efficient Fine-Tuning via Circular Convolution
ACL 2025
Rethinking Text-based Protein Understanding: Retrieval or LLM?
EMNLP 2025
MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension
EMNLP 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
ICML 2024
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes
EMNLP 2024
Protein Multimer Structure Prediction via Prompt Learning
ICLR 2024
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
NeurIPS 2024
Towards Stable Representations for Protein Interface Prediction
NeurIPS 2024
Dimension reduction for data with heterogeneous missingness
UAI 2021
Similarity measure for sparse time course data based on Gaussian processes
UAI 2021