Qian Lin
24 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
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Cross-Pollinator
(12)
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Taxonomy Completionist
(44)
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Triple Crown
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Grand Slam
π§¬
Topic Evolution
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Keyword Champion
(2)
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Conference Pioneer
ποΈ
Keyword Collector
(97)
β‘
Prolific Year
(8)
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Unstoppable
(6)
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Century Club
(23)
Conferences
NIPS (5)
AAAI (3)
ICLR (3)
ICML (3)
JMLR (3)
ACL (2)
EMNLP (2)
WACV (2)
COLING (1)
Top co-authors
Keywords
kernel ridge regression
(4)
minimax optimality
(3)
gradient descent
(3)
offline reinforcement learning
(3)
neural tangent kernel
(3)
reproducing kernel hilbert space
(3)
eigenvalue decay
(2)
source condition
(2)
dialogue breakdown detection
(2)
conversation history
(2)
spectral algorithm
(2)
kernel regression
(2)
convolutional neural network
(2)
generalization error
(2)
semantic analysis
(1)
neural machine translation
(1)
question answering
(1)
semi-supervised learning
(1)
word sense disambiguation
(1)
preference learning
(1)
Papers
Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning
AAAI 2026
DynaQuest: A Dynamic Question Answering Dataset Reflecting Real-World Knowledge Updates
ACL 2025
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
AAAI 2025
Conservative Offline Goal-Conditioned Implicit V-Learning
ICML 2025
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions
JMLR 2025
On the Optimality of Misspecified Spectral Algorithms
JMLR 2024
On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains
JMLR 2024
Off-Policy Primal-Dual Safe Reinforcement Learning
ICLR 2024
On the Saturation Effects of Spectral Algorithms in Large Dimensions
NIPS 2024
The optimality of kernel classifiers in Sobolev space
ICLR 2024
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
NIPS 2024
Improving Adaptivity via Over-Parameterization in Sequence Models
NIPS 2024
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
NIPS 2024
On the Saturation Effect of Kernel Ridge Regression
ICLR 2023
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay
NIPS 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
ICML 2023
On the Optimality of Misspecified Kernel Ridge Regression
ICML 2023
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
AAAI 2022
Re-Compose the Image by Evaluating the Crop on More Than Just a Score
WACV 2022
Improved Word Sense Disambiguation with Enhanced Sense Representations
EMNLP 2021
Learning to Identify Follow-Up Questions in Conversational Question Answering
ACL 2020
A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown Detection
COLING 2020
Print Defect Mapping with Semantic Segmentation
WACV 2020
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
EMNLP 2018