Baijiong Lin
8 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(25)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Core AI
(4)
Learning Types · Machine Learning
(4)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Core Methods
(2)
Models
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Generation · Computer Vision
(1)
Generation · Natural Language Processing
(1)
Keywords
large language model
(3)
multi-task learning
(2)
model routing
(2)
contrastive learning
(1)
few-shot learning
(1)
model selection
(1)
gradient-based optimization
(1)
domain adaptation
(1)
ensemble method
(1)
embedding learning
(1)
chain-of-thought reasoning
(1)
model architecture
(1)
deep learning
(1)
gradient descent
(1)
multi-objective optimization
(1)
bilevel optimization
(1)
diffusion model
(1)
deep neural network
(1)
transfer learning
(1)
benchmark evaluation
(1)
Papers
Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
AAAI 2026
VL-RouterBench: A Benchmark for Vision-Language Model Routing
CVPR 2026
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
ICML 2025
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning
ICML 2024
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders
ECCV 2024
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
NeurIPS 2024
LibMTL: A Python Library for Deep Multi-Task Learning
JMLR 2023
Multi-Objective Meta Learning
NeurIPS 2021