Qian Lin - RankMe

86 papers A* 17A 2B 2C 1Misc 2Journal 56Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning. AAAI Shenghong He, Chao Yu, Qian Lin, Yile Liang, Donghui Li, Xuetao Ding
2025	J	`jnl`	Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels. CoRR Dongming Huang, Zhifan Li, Yicheng Li, Qian Lin
2025	A*	`conf`	Conservative Offline Goal-Conditioned Implicit V-Learning. ICML Kaiqiang Ke, Qian Lin, Zongkai Liu, Shenghong He, Chao Yu
2025	J	`jnl`	Diagonal Over-parameterization in Reproducing Kernel Hilbert Spaces as an Adaptive Feature Model: Generalization and Adaptivity. CoRR Yicheng Li, Qian Lin
2025	—	`conf`	DynaQuest: A Dynamic Question Answering Dataset Reflecting Real-World Knowledge Updates. ACL (Findings) Qian Lin, Junyi Li, Hwee Tou Ng
2025	J	`jnl`	Hierarchical Multi-Agent Meta-Reinforcement Learning for Cross-Channel Bidding. IEEE Trans. Knowl. Data Eng. Shenghong He, Chao Yu, Qian Lin, Shangqin Mao, Bo Tang, Qianlong Xie, Xingxing Wang
2025	J	`jnl`	Neural Tangent Kernel of Neural Networks with Loss Informed by Differential Operators. CoRR Weiye Gan, Yicheng Li, Qian Lin, Zuoqiang Shi
2025	A*	`conf`	Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. AAAI Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding
2025	J	`jnl`	On the Saturation Effects of Spectral Algorithms in Large Dimensions. CoRR Weihao Lu, Haobo Zhang, Yicheng Li, Qian Lin
2025	J	`jnl`	Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions. J. Mach. Learn. Res. Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin
2025	J	`jnl`	RaySHapke: A Bayesian Inversion Analysis of Lunar Surface Parameters Utilizing the Hapke Model Based on the Raytracing Shadowing Function. IEEE Trans. Geosci. Remote. Sens. Dongxu Han, Peng Zhang, Chengbao Liu, Wanyue Liu, Zheng Bo, Qian Lin
2025	J	`jnl`	Reg3D: Reconstructive Geometry Instruction Tuning for 3D Scene Understanding. CoRR Hongpei Zheng, Lintao Xiang, Qijun Yang, Qian Lin, Hujun Yin
2025	J	`jnl`	Several Supporting Evidences for the Adaptive Feature Program. CoRR Yicheng Li, Qian Lin
2024	A*	`conf`	An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning. NeurIPS Qian Lin, Zongkai Liu, Danying Mo, Chao Yu
2024	J	`jnl`	An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning. CoRR Qian Lin, Zongkai Liu, Danying Mo, Chao Yu
2024	J	`jnl`	Deep Learning Integration of Multi-Model Forecast Precipitation Considering Long Lead Times. Remote. Sens. Wei Fang, Hui Qin, Qian Lin, Benjun Jia, Yuqi Yang, Keyan Shen
2024	C	`conf`	Detection of Acute Myocardial Infarction Using Deep Learning on Lead-I ECG Data. BSN Parmida Davarmanesh, Qian Lin, Irene Tenison, Gabriel Jabbour, Ridwan Alam
2024	J	`jnl`	Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay. CoRR Yicheng Li, Weiye Gan, Zuoqiang Shi, Qian Lin
2024	A*	`conf`	Improving Adaptivity via Over-Parameterization in Sequence Models. NeurIPS Yicheng Li, Qian Lin
2024	J	`jnl`	Improving Adaptivity via Over-Parameterization in Sequence Models. CoRR Yicheng Li, Qian Lin
2024	A*	`conf`	Off-Policy Primal-Dual Safe Reinforcement Learning. ICLR Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
2024	J	`jnl`	Off-Policy Primal-Dual Safe Reinforcement Learning. CoRR Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
2024	J	`jnl`	Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. CoRR Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding
2024	J	`jnl`	On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains. J. Mach. Learn. Res. Yicheng Li, Zixiong Yu, Guhan Chen, Qian Lin
2024	A*	`conf`	On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory. NeurIPS Guhan Chen, Yicheng Li, Qian Lin
2024	J	`jnl`	On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory. CoRR Guhan Chen, Yicheng Li, Qian Lin
2024	J	`jnl`	On the Optimality of Misspecified Spectral Algorithms. J. Mach. Learn. Res. Haobo Zhang, Yicheng Li, Qian Lin
2024	J	`jnl`	On the Saturation Effect of Kernel Ridge Regression. CoRR Yicheng Li, Haobo Zhang, Qian Lin
2024	A*	`conf`	On the Saturation Effects of Spectral Algorithms in Large Dimensions. NeurIPS Weihao Lu, Haobo Zhang, Yicheng Li, Qian Lin
2024	J	`jnl`	Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions. CoRR Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin
2024	A	`conf`	Policy-regularized Offline Multi-objective Reinforcement Learning. AAMAS Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu
2024	J	`jnl`	Policy-regularized Offline Multi-objective Reinforcement Learning. CoRR Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu
2024	J	`jnl`	The Optimality of Kernel Classifiers in Sobolev Space. CoRR Jianfa Lai, Zhifan Li, Dongming Huang, Qian Lin
2024	A*	`conf`	The optimality of kernel classifiers in Sobolev space. ICLR Jianfa Lai, Zhifan Li, Dongming Huang, Qian Lin
2024	J	`jnl`	The phase diagram of kernel interpolation in large dimensions. CoRR Haobo Zhang, Weihao Lu, Qian Lin
2024	J	`jnl`	Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories. CoRR Haobo Zhang, Jianfa Lai, Yicheng Li, Qian Lin, Jun S. Liu
2023	—	`conf`	A Joint-Cartesian Hybrid Motion Mapping Method for Real-Time Teleoperation Based on Human Arm Kinematic Characteristics. RCAR Qian Lin, Peng Zhang, Zhi Wang, Zhenyuan Dong
2023	J	`jnl`	Efficiency Calculation and Evaluation of Environmental Governance Using the Theory of Production, Life, and Ecology Based on Panel Data from 27 Provinces in China from 2003 to 2020. Syst. Xueyuan Li, Senwei Huang, Wei Shi, Qian Lin
2023	J	`jnl`	Generalization Ability of Wide Neural Networks on ℝ. CoRR Jianfa Lai, Manyun Xu, Rui Chen, Qian Lin
2023	J	`jnl`	Generalization Ability of Wide Residual Networks. CoRR Jianfa Lai, Zixiong Yu, Songtao Tian, Qian Lin
2023	J	`jnl`	Identification of a seven autophagy-related gene pairs signature for the diagnosis of colorectal cancer using the RankComp algorithm. J. Bioinform. Comput. Biol. Qi-Shi Song, Hai-Jun Wu, Qian Lin, Yu-Kai Tang
2023	J	`jnl`	Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting. J. Am. Medical Informatics Assoc. Ryan Shea Ying Cong Tan, Qian Lin, Guat Hwa Low, Ruixi Lin, Tzer Chew Goh, Christopher Chu En Chang, Fung Fung Lee, Wei Yin Chan, Wei Chong Tan, Han Jieh Tey, Fun Loon Leong, Hong Qi Tan, Wen Long Nei, Wen Yee Chay, David Wai Meng Tai, Gillianne Geet Yi Lai, Lionel Tim-Ee Cheng, Fuh Yong Wong, Matthew Chin Heng Chua, Melvin Lee Kiang Chua, Daniel Shao-Weng Tan, Choon Hua Thng, Iain Bee Huat Tan, Hwee Tou Ng
2023	J	`jnl`	Intelligent bandit learning for jamming strategy generation. Wirel. Networks Cheng Zhou, Congshan Ma, Qian Lin, Xin Man, Tao Ying
2023	J	`jnl`	Kernel interpolation generalizes poorly. CoRR Yicheng Li, Haobo Zhang, Qian Lin
2023	A*	`conf`	On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay. NeurIPS Yicheng Li, Haobo Zhang, Qian Lin
2023	J	`jnl`	On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay. CoRR Yicheng Li, Haobo Zhang, Qian Lin
2023	A*	`conf`	On the Optimality of Misspecified Kernel Ridge Regression. ICML Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin
2023	J	`jnl`	On the Optimality of Misspecified Kernel Ridge Regression. CoRR Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin
2023	J	`jnl`	On the Optimality of Misspecified Spectral Algorithms. CoRR Haobo Zhang, Yicheng Li, Qian Lin
2023	A*	`conf`	On the Saturation Effect of Kernel Ridge Regression. ICLR Yicheng Li, Haobo Zhang, Qian Lin
2023	J	`jnl`	Optimal Rate of Kernel Regression in Large Dimensions. CoRR Weihao Lu, Haobo Zhang, Yicheng Li, Manyun Xu, Qian Lin
2023	J	`jnl`	SMORES-EP, a modular robot with parallel self-assembly. Auton. Robots Chao Liu, Qian Lin, Hyun Kim, Mark Yim
2023	A*	`conf`	Safe Offline Reinforcement Learning with Real-Time Budget Constraints. ICML Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
2023	J	`jnl`	Safe Offline Reinforcement Learning with Real-Time Budget Constraints. CoRR Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
2023	J	`jnl`	Statistical Optimality of Deep Wide Neural Networks. CoRR Yicheng Li, Zixiong Yu, Guhan Chen, Qian Lin
2022	J	`jnl`	A Semi-Supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues. CoRR Qian Lin, Hwee Tou Ng
2022	A*	`conf`	A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues. AAAI Qian Lin, Hwee Tou Ng
2022	J	`jnl`	How to construct a coordinated ecological network at different levels: A case from Ningbo city, China. Ecol. Informatics Yang Yang, Zhe Feng, Kening Wu, Qian Lin
2022	A	`conf`	Micro-architectural Analysis of OLAP Systems on Persistent Memory. CIDR Jie Liang Ang, Jefferson Chu, Hieu Le Trung, Jiajun Liu, Jiong He, Qian Lin, Bingsheng He
2021	—	`conf`	Improved Word Sense Disambiguation with Enhanced Sense Representations. EMNLP (Findings) Yang Song, Xin Cai Ong, Hwee Tou Ng, Qian Lin
2021	J	`jnl`	SMORES-EP, a Modular Robot with Parallel Self-assembly. CoRR Chao Liu, Qian Lin, Hyun Kim, Mark Yim
2021	J	`jnl`	The global finite-time synchronization of a class of chaotic systems via the variable-substitution and feedback control. IMA J. Math. Control. Inf. Yun Chen, Yanyi Xu, Qian Lin
2020	B	`conf`	A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown Detection. COLING Qian Lin, Souvik Kundu, Hwee Tou Ng
2020	A*	`conf`	Learning to Identify Follow-Up Questions in Conversational Question Answering. ACL Souvik Kundu, Qian Lin, Hwee Tou Ng
2020	J	`jnl`	Model and criteria on the global finite-time synchronization of the chaotic gyrostat systems. Math. Comput. Simul. Yun Chen, Yanyi Xu, Qian Lin, Xiyong Zhang
2020	J	`jnl`	Semantically Smooth Bilingual Phrase Embeddings Based on Recursive Autoencoders. Neural Process. Lett. Qian Lin, Jing Yang, Xiangwen Zhang, Hongji Wang, Yaojie Lu, Jinsong Su
2020	J	`jnl`	Smart cooling-aeration guided by aeration window model for paddy stored in concrete silos in a depot of Guangzhou, China. Comput. Electron. Agric. Xingjun Li, Zhiqiang Han, Qian Lin, Zidan Wu, Liang Chen, Qiang Zhang
2019	A*	`conf`	Efficient Exact Collision Detection between Ellipsoids and Superquadrics via Closed-form Minkowski Sums. ICRA Sipu Ruan, Karen L. Poblete, Yingke Li, Qian Lin, Qianli Ma, Gregory S. Chirikjian
2019	J	`jnl`	Exploiting reverse target-side contexts for neural machine translation via asynchronous bidirectional decoding. Artif. Intell. Jinsong Su, Xiangwen Zhang, Qian Lin, Yue Qin, Junfeng Yao, Yang Liu
2018	J	`jnl`	High-Performance Limiting Current Oxygen Sensor Comprised of Highly Active La Sensors Jie Zou, Qian Lin, Chu Cheng, Xin Zhang, Qinghui Jin, Han Jin, Jinxia Wang, Jiawen Jian
2018	—	`conf`	Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT. NLPCC (1) Jing Yang, Biao Zhang, Yue Qin, Xiangwen Zhang, Qian Lin, Jinsong Su
2018	J	`jnl`	Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT. CoRR Jing Yang, Biao Zhang, Yue Qin, Xiangwen Zhang, Qian Lin, Jinsong Su
2018	A*	`conf`	Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks. EMNLP Biao Zhang, Deyi Xiong, Jinsong Su, Qian Lin, Huiji Zhang
2018	J	`jnl`	Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks. CoRR Biao Zhang, Deyi Xiong, Jinsong Su, Qian Lin, Huiji Zhang
2017	J	`jnl`	Computer Simulation of Noise Effects of the Neighborhood of Stimulus Threshold for a Mathematical Model of Homeostatic Regulation of Sleep-Wake Cycles. Complex. Wuyin Jin, Qian Lin, An Wang, Chun-Ni Wang
2017	J	`jnl`	High accuracy complete elliptic integrals for solving the Hertzian elliptical contact problems. Comput. Math. Appl. Kejing He, Xiaoqiang Zhou, Qian Lin
2016	J	`jnl`	Design and Temperature Reliability Testing for A 0.6-2.14GHz Broadband Power Amplifier. J. Electron. Test. Qian Lin, Qian-Fu Cheng, Junjie Gu, Yuanyuan Zhu, Chao Chen, Haipeng Fu
2016	J	`jnl`	Interconnect Reliability Analysis for Power Amplifier Based on Artificial Neural Networks. J. Electron. Test. Qian Lin, Haipeng Fu, Feifei He, Qian-Fu Cheng
2015	J	`jnl`	Global Lagged Finite-Time Synchronization of Two Chaotic Lur'e Systems Subject to Time Delay. Int. J. Bifurc. Chaos Yun Chen, Xiaofeng Wu, Qian Lin
2013	Misc	`conf`	Many-to-one mapping: The principle of Chinese medicinal property theory learned from strong association rules. ICNC Rui Jin, Chun-miao Xue, Li-Li Wu, Bing Zhang, Qian Lin, Sen-mao Liu
2011	J	`jnl`	Backward doubly stochastic differential equations with weak assumptions on the coefficients. Appl. Math. Comput. Qian Lin
2010	Misc	`conf`	Music rhythm characterization with application to workout-mix generation. ICASSP Qian Lin, Lie Lu, Christopher Weare, Frank Seide
2009	J	`jnl`	Adaptive Sampling for Real-Time Control Based on Sampling Urgency. Control. Intell. Syst. Peter C. Y. Chen, Qian Lin, Aun Neow Poo
2009	—	`conf`	Study on Non-iterative LS-SVM Based on Entropy and Its Applications. IFITA (3) Quanhua Zhao, Qian Lin
2005	—	`conf`	Observation of Crises and Bifurcations in the Hodgkin-Huxley Neuron Model. ICNC (1) Wuyin Jin, Qian Lin, Yaobing Wei, Ying Wu
2003	B	`conf`	Dynamical scheduling of digital control systems. SMC Qian Lin, Peter C. Y. Chen, Aun Neow Poo