Kaixiang Lin

1.8k total citations · 1 hit paper
21 papers, 667 citations indexed

About

Kaixiang Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Kaixiang Lin has authored 21 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Kaixiang Lin's work include Domain Adaptation and Few-Shot Learning (5 papers), Sparse and Compressive Sensing Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Kaixiang Lin is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Sparse and Compressive Sensing Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Kaixiang Lin collaborates with scholars based in United States, China and Canada. Kaixiang Lin's co-authors include Jiayu Zhou, Anil K. Jain, Zhuangdi Zhu, İnci M. Baytaş, Anna Tarakanova, Mohammad Madani, Liyang Xie, Zhaojian Li, Tianshu Chu and Dong Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Molecular Sciences and IEEE Transactions on Power Systems.

In The Last Decade

Kaixiang Lin

21 papers receiving 647 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transfer Learning in Deep Reinforcement Learning: A Survey

2023 349 citations Zhuangdi Zhu, Kaixiang Lin et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Countries citing papers authored by Kaixiang Lin

Since Specialization

Citations

This map shows the geographic impact of Kaixiang Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kaixiang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaixiang Lin more than expected).

Fields of papers citing papers by Kaixiang Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaixiang Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kaixiang Lin. The network helps show where Kaixiang Lin may publish in the future.

Co-authorship network of co-authors of Kaixiang Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Kaixiang Lin. A scholar is included among the top collaborators of Kaixiang Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaixiang Lin. Kaixiang Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generation 2024 ·(unknown), Li Erran Li, Min Bai, Xiaopeng Li, Kaixiang Lin, (unknown), Alex C. Williams	1
2	An Energy-Efficient Edge Processor for Radar-Based Continuous Fall Detection Utilizing Mixed-Radix FFT and Updated Blockwise Computation 2024 ·IEEE Internet of Things Journal ·J. Chen, Kaixiang Lin, (unknown), Wenbin Ye	2
3	Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk 2024 ·(unknown), Elman Mansimov, Kaixiang Lin, (unknown), (unknown), Yi Zhang	3
4	A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg 2023 ·Journal of Artificial Intelligence Research ·(unknown), Kaixiang Lin, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou	3
5	Transfer Learning in Deep Reinforcement Learning: A Survey breakdown → 2023 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, Jiayu Zhou	349
6	Automated Few-Shot Classification with Instruction-Finetuned Language Models 2023 ·(unknown), Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson	1
7	DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following 2022 ·IEEE Robotics and Automation Letters ·(unknown), Qiaozi Gao, (unknown), Kaixiang Lin, (unknown), Gaurav S. Sukhatme	23
8	Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou	8
9	DSResSol: A Sequence-Based Solubility Predictor Created with Dilated Squeeze Excitation Residual Networks 2021 ·International Journal of Molecular Sciences ·Mohammad Madani, Kaixiang Lin, Anna Tarakanova	38
10	Off-Policy Imitation Learning from Observations 2021 ·arXiv (Cornell University) ·Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou	2
11	RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection 2021 ·PubMed ·Boyang Liu, Ding Wang, Kaixiang Lin, Pang‐Ning Tan, Jiayu Zhou	25
12	PowerNet: Multi-Agent Deep Reinforcement Learning for Scalable Powergrid Control 2021 ·IEEE Transactions on Power Systems ·Dong Chen, (unknown), Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin	54
13	Alkaline Quinone Flow Battery with Long Lifetime at pH 12 2018 ·Joule ·David G. Kwabi, Kaixiang Lin, Yunlong Ji, Emily F. Kerr, Marc‐Antoni Goulet, Diana De Porcellinis, Daniel P. Tabor, Daniel A. Pollack, Alán Aspuru‐Guzik, Roy G. Gordon, Michael J. Aziz	43
14	Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates 2017 ·Liyang Xie, İnci M. Baytaş, Kaixiang Lin, Jiayu Zhou	40
15	Stochastic convex sparse principal component analysis 2016 ·PubMed ·İnci M. Baytaş, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou	5
16	Multi-Task Feature Interaction Learning 2016 ·Kaixiang Lin, (unknown), İnci M. Baytaş, Shuiwang Ji, Jiayu Zhou	24
17	PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records 2016 ·IEEE Transactions on Multimedia ·İnci M. Baytaş, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou	14
18	Interactive Multi-task Relationship Learning 2016 ·Kaixiang Lin, Jiayu Zhou	9
19	Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine 2016 ·(unknown), Kaixiang Lin, Pang‐Ning Tan, Jiayu Zhou	9
20	Category-based dynamic recommendations adaptive to user interest drifts 2014 ·Kaixiang Lin, Dong Liu	6

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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