Baijiong Lin
7 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π§ Keyword Pioneer π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (19) π Academic Marathon (5)
π
Interdisciplinary Bridge
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Trend Setter
Conferences
ICML (2)
NIPS (2)
AAAI (1)
ECCV (1)
JMLR (1)
Top co-authors
Keywords
multi-task learning
(2)
large language model
(2)
contrastive learning
(1)
few-shot learning
(1)
model selection
(1)
domain adaptation
(1)
gradient-based optimization
(1)
embedding learning
(1)
chain-of-thought reasoning
(1)
model architecture
(1)
deep learning
(1)
gradient descent
(1)
multi-objective optimization
(1)
deep neural network
(1)
ensemble method
(1)
model ensemble
(1)
bi-level optimization
(1)
inference optimization
(1)
model routing
(1)
query routing
(1)
Papers
Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
AAAI 2026
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
ICML 2025
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders
ECCV 2024
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning
ICML 2024
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
NIPS 2024
LibMTL: A Python Library for Deep Multi-Task Learning
JMLR 2023
Multi-Objective Meta Learning
NIPS 2021