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Qian Lin

24 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (44) πŸ‘‘ Triple Crown πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (97) ⚑ Prolific Year (8) πŸ”₯ Unstoppable (6) πŸ’Ž 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

Yicheng Li (9) Haobo Zhang (6) Chao Yu (6) Hwee Tou Ng (5) Weihao Lu (3) Zongkai Liu (3) Xuetao Ding (2) Bo Tang (2) Shangqin Mao (2) Souvik Kundu (2)

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