Ziqian Lin
8 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(5)
Artificial Intelligence
(4)
Core AI
(3)
Learning Types Β· Machine Learning
(3)
Deep Learning
(2)
Application Areas
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Applications
(1)
Architectures
(1)
Learning Types Β· Deep Learning
(1)
Models
(1)
Keywords
multimodal learning
(2)
convolutional neural network
(2)
in-context learning
(2)
transformer
(1)
probabilistic model
(1)
deep learning
(1)
protein design
(1)
early exit
(1)
language model fine-tuning
(1)
output distribution
(1)
inference efficiency
(1)
model uncertainty
(1)
language model
(1)
out-of-distribution detection
(1)
prompt engineering
(1)
pre-trained language model
(1)
molecular representation
(1)
biological sequence
(1)
transfer learning
(1)
image classification
(1)
Papers
DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design
AAAI 2026
RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design
AAAI 2026
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
ICML 2025
Dual Operating Modes of In-Context Learning
ICML 2024
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks
NeurIPS 2022
MOOD: Multi-Level Out-of-Distribution Detection
CVPR 2021
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling
IJCAI 2020
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
AAAI 2019