Ming Yin

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 149

Top Venues

Publications

Chinan Wang, Ming Yin, Shanshan Yu, X. Wang
Multi-channel LFP recording data compression scheme using Cooperative PCA and Kalman Filter. Biomed. Signal Process. Control. 87 (Part A) (2024)
Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong
Poisoning Federated Recommender Systems with Fake Users. CoRR (2024)
Ming Yin, Mengdi Wang, Yu-Xiang Wang
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient. ICLR (2023)
Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. ACL (Findings) (2023)
Ming Yin, Danli Meng, Dan Zhu, Yibo Wang, Jijiao Jiang
Predicting Changes in User-Driven Requirements Using Conditional Random Fields in Agile Software Development. IEEE Trans. Engineering Management 70 (11) (2023)
Sunil Madhow, Dan Xiao, Ming Yin, Yu-Xiang Wang
Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data. CoRR (2023)
Nadish de Silva, Wilfred Salmon, Ming Yin
Fast algorithms for classical specifications of stabiliser states and Clifford gates. CoRR (2023)
Shuai Ma, Ying Lei, Xinru Wang, Chengbo Zheng, Chuhan Shi, Ming Yin, Xiaojuan Ma
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making. CoRR (2023)
Kuiyu Zhu, Ming Yin, Dan Zhu, Xiaogang Zhang, Cunzhi Gao, Jijiao Jiang
SCGRU: A general approach for identifying multiple classes of self-admitted technical debt with text generation oversampling. J. Syst. Softw. 195 (2023)
Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang
Non-stationary Reinforcement Learning under General Function Approximation. ICML (2023)
Ming Yin, Pan Zhou, Taige Xu, Jijiao Jiang
Extracting actors and use cases from requirements text with BiLSTM-CRF. J. Intell. Fuzzy Syst. 44 (3) (2023)
Xiang Yue, Yuansheng Ni, Kai Zhang, Tianyu Zheng, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. CoRR (2023)
Yangyang Zhu, Luofeng Xie, Ming Yin, Guofu Yin
Convolution With Rotation Invariance for Online Detection of Tiny Defects on Magnetic Tile Surface. IEEE Trans. Instrum. Meas. 72 (2023)
Chong Liu, Ming Yin, Yu-Xiang Wang
No-Regret Linear Bandits beyond Realizability. UAI (2023)
Yuming Wang, Hua Zou, Ming Yin, Xining Zhang
SMFF-YOLO: A Scale-Adaptive YOLO Algorithm with Multi-Level Feature Fusion for Object Detection in UAV Scenes. Remote. Sens. 15 (18) (2023)
Chong Liu, Ming Yin, Yu-Xiang Wang
No-Regret Linear Bandits beyond Realizability. CoRR (2023)
Songtao Feng, Ming Yin, Yu-Xiang Wang, Jing Yang, Yingbin Liang
Model-Free Algorithm with Improved Sample Efficiency for Zero-Sum Markov Games. CoRR (2023)
Wenhu Chen, Ming Yin, Max Ku, Elaine Wan, Xueguang Ma, Jianyu Xu, Tony Xia, Xinyi Wang, Pan Lu
TheoremQA: A Theorem-driven Question Answering dataset. CoRR (2023)
Karen Wintersperger, Florian Dommert, Thomas Ehmer, Andrey Hoursanov, Johannes Klepsch, Wolfgang Mauerer, Georg Reuber, Thomas Strohm, Ming Yin, Sebastian Luber
Neutral Atom Quantum Computing Hardware: Performance and End-User Perspective. CoRR (2023)
Guangbin Dai, Zheng Liu, Qiuping Huang, Jianlin Wang, Ming Yin, Qingyou Lu, Yalin Lu
All-Time Phase-Resolved 110 GHz Ultramicroscopy via Quadrature-Assisted Demodulation. IEEE Trans. Instrum. Meas. 72 (2023)
Ming Yin, Shaocong He, Tourfique Ahemd Soomro, Haoliang Yuan
Efficient skeleton-based action recognition via multi-stream depthwise separable convolutional neural network. Expert Syst. Appl. 226 (2023)
Ming Yin, Yangyang Zhu, Guofu Yin, Guoqiang Fu, Luofeng Xie
Deep Feature Interaction Network for Point Cloud Registration, With Applications to Optical Measurement of Blade Profiles. IEEE Trans. Ind. Informatics 19 (8) (2023)
Shiyi Chen, Ming Yin, Yongzhi Luo, Xiyue Lin
Optical Parametric Oscillator Based on All-Optical Poled Silicon Nitride. IEEE Access 11 (2023)
Shuai Ma, Ying Lei, Xinru Wang, Chengbo Zheng, Chuhan Shi, Ming Yin, Xiaojuan Ma
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making. CHI (2023)
Yangyang Zhu, Luofeng Xie, Zhengfeng Xie, Ming Yin, Guofu Yin
FSConv: Flexible and separable convolution for convolutional neural networks compression. Pattern Recognit. 140 (2023)
Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang
Non-stationary Reinforcement Learning under General Function Approximation. CoRR (2023)
Chinan Wang, Ming Yin, F. Liang, X. Wang
A Robust and High Accurate Method for Hand Kinematics Decoding from Neural Populations. PRCV (9) (2023)
Ming Yin, Bingxu Han, Sunghan Ryu, Min Hua
Acceptance of Generative AI in the Creative Industry: Examining the Role of AI Anxiety in the UTAUT2 Model. HCI (53) (2023)
Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. AAAI (2023)
Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, Ming Yin
Are Two Heads Better Than One in AI-Assisted Decision Making? Comparing the Behavior and Performance of Groups and Individuals in Human-AI Collaborative Recidivism Risk Assessment. CHI (2023)
Dan Qiao, Ming Yin, Yu-Xiang Wang
Logarithmic Switching Cost in Reinforcement Learning beyond Linear MDPs. CoRR (2023)
Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. ICML (2023)
Ming Yin, Xiaohua Liu, Liuyang Wang, Guoliang He
Learning latent embedding via weighted projection matrix alignment for incomplete multi-view clustering. Inf. Sci. 634 (2023)
Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia
TheoremQA: A Theorem-driven Question Answering Dataset. EMNLP (2023)
Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar, Ming Yin, Dan Goldwasser
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. CoRR (2023)
Xinru Wang, Ming Yin
Watch Out for Updates: Understanding the Effects of Model Explanation Updates in AI-Assisted Decision Making. CHI (2023)
Saumik Narayanan, Guanghui Yu, Wei Tang, Chien-Ju Ho, Ming Yin
How Does Predictive Information Affect Human Ethical Preferences? AIES (2022)
Houhong Lu, Yangyang Zhu, Ming Yin, Guofu Yin, Luofeng Xie
Multimodal Fusion Convolutional Neural Network With Cross-Attention Mechanism for Internal Defect Detection of Magnetic Tile. IEEE Access 10 (2022)
Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle Ungar, Dan Goldwasser
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. CoRR (2022)
Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi, Ahmed Ali, Ming Yin, Junbin Gao
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research. Artif. Intell. Rev. 55 (2) (2022)
Zhuoran Lu, Patrick Li, Weilong Wang, Ming Yin
The Effects of AI-based Credibility Indicators on the Detection and Spread of Misinformation under Social Influence. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Kaiqi Zhang, Ming Yin, Yu-Xiang Wang
Why Quantization Improves Generalization: NTK of Binary Weight Neural Networks. CoRR (2022)
Chun-Wei Chiang, Ming Yin
Exploring the Effects of Machine Learning Literacy Interventions on Laypeople's Reliance on Machine Learning Models. IUI (2022)
Ming Yin, Yaqi Duan, Mengdi Wang, Yu-Xiang Wang
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism. ICLR (2022)
Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. CoRR (2022)
Yi Han, Ming Yin, Puhong Duan, Pedram Ghamisi
Edge-Preserving Filtering-Based Dehazing for Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Amy Rechkemmer, Ming Yin
Understanding the Microtask Crowdsourcing Experience for Workers with Disabilities: A Comparative View. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Xinru Wang, Ming Yin
Effects of Explanations in AI-Assisted Decision Making: Principles and Comparisons. ACM Trans. Interact. Intell. Syst. 12 (4) (2022)
Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. CoRR (2022)
Amy Rechkemmer, Ming Yin
When Confidence Meets Accuracy: Exploring the Effects of Multiple Performance Indicators on Trust in Machine Learning Models. CHI (2022)
Amy Rechkemmer, Ming Yin
Understanding the Microtask Crowdsourcing Experience for Workers with Disabilities: A Comparative View. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Guoyang Zhou, Vaneet Aggarwal, Ming Yin, Denny Yu
A Computer Vision Approach for Estimating Lifting Load Contributors to Injury Risk. IEEE Trans. Hum. Mach. Syst. 52 (2) (2022)
Zongping Wang, Ming Yin, Dengying Ou, Luofeng Xie, Haohao Liu, Guofu Yin
Optical Measurement Method for Blade Profiles Based on Blade Self-Features. IEEE Trans. Ind. Electron. 69 (2) (2022)
Miao Ji, Ming Yin, Ying Hui Zhou
Application of static taint analysis in RASP protection strategy. CSW (2022)
Xiaoni Duan, Chien-Ju Ho, Ming Yin
The Influences of Task Design on Crowdsourced Judgement: A Case Study of Recidivism Risk Evaluation. WWW (2022)
Zhuoyan Li, Zhuoran Lu, Ming Yin
Towards Better Detection of Biased Language with Scarce, Noisy, and Biased Annotations. AIES (2022)
Dan Qiao, Ming Yin, Ming Min, Yu-Xiang Wang
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost. ICML (2022)
Meric Altug Gemalmaz, Ming Yin
Understanding Decision Subjects' Fairness Perceptions and Retention in Repeated Interactions with AI-Based Decision Systems. AIES (2022)
Xinru Wang, Zhuoran Lu, Ming Yin
Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making. WWW (2022)
Ming Yin, Wenjing Chen, Mengdi Wang, Yu-Xiang Wang
Offline stochastic shortest path: Learning, evaluation and towards optimality. UAI (2022)
Ming Yin, Kuiyu Zhu, Hongli Xiao, Dan Zhu, Jijiao Jiang
Deep neural network ensembles for detecting self-admitted technical debt. J. Intell. Fuzzy Syst. 43 (1) (2022)
Ming Yin, Mengdi Wang, Yu-Xiang Wang
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient. CoRR (2022)
Dan Qiao, Ming Yin, Ming Min, Yu-Xiang Wang
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost. CoRR (2022)
Lijuan Wang, Lin Zhang, Ming Yin, Zhifeng Hao, Ruichu Cai, Wen Wen
Double embedding-transfer-based multi-view spectral clustering. Expert Syst. Appl. 210 (2022)
Shuwan Ma, Yonghua Wang, Jinxuan Ren, Ming Yin
A Cooperative Spectrum Sensing Method Based on Soft Low-Rank Subspace Clustering. IEEE Trans. Circuits Syst. II Express Briefs 69 (9) (2022)
Ming Yin, Yaqi Duan, Mengdi Wang, Yu-Xiang Wang
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism. CoRR (2022)
Zhuoran Lu, Patrick Li, Weilong Wang, Ming Yin
The Effects of AI-based Credibility Indicators on the Detection and Spread of Misinformation under Social Influence. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Tingjian Chen, Haoliang Yuan, Ming Yin
Hierarchical unsupervised multi-view feature selection. Int. J. Wavelets Multiresolution Inf. Process. 20 (6) (2022)
Zixi Liang, Ming Yin, Junli Gao, Yicheng He, Weitian Huang
View knowledge transfer network for multi-view action recognition. Image Vis. Comput. 118 (2022)
Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle Ungar, Dan Goldwasser
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. NAACL-HLT (2022)
Ming Yin, Wenjing Chen, Mengdi Wang, Yu-Xiang Wang
Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality. CoRR (2022)
Haoliang Yuan, Sio-Long Lo, Ming Yin, Yong Liang
Erratum: Multi-view feature selection via sparse tensor regression. Int. J. Wavelets Multiresolution Inf. Process. 20 (2) (2022)
Haoliang Yuan, Sio-Long Lo, Ming Yin, Yong Liang
Multi-view feature selection via sparse tensor regression. Int. J. Wavelets Multiresolution Inf. Process. 19 (5) (2021)
Ming Yin, Yu Bai, Yu-Xiang Wang
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction. CoRR (2021)
Ming Yin, Yu Bai, Yu-Xiang Wang
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction. NeurIPS (2021)
Zhuoran Lu, Ming Yin
Human Reliance on Machine Learning Models When Performance Feedback is Limited: Heuristics and Risks. CHI (2021)
Guoyang Zhou, Vaneet Aggarwal, Ming Yin, Denny Yu
Video-based AI Decision Support System for Lifting Risk Assessment. SMC (2021)
Ming Yin, Yu-Xiang Wang
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings. CoRR (2021)
Meric Altug Gemalmaz, Ming Yin
Accounting for Confirmation Bias in Crowdsourced Label Aggregation. IJCAI (2021)
Amy Rechkemmer, Ming Yin
Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract). IJCAI (2021)
Lijuan Wang, Jinping Xing, Ming Yin, Xinxuan Huang
Multi-view Spectral Clustering With Adaptive Local Neighbors. PAAP (2021)
Ming Yin, Zhixin Song, Jiao Hu
Research on the Cultivation of Software Engineering Graduates' Scientific Research Ability Based on Whole Process Control and Management. ICETM (2021)
Chun-Wei Chiang, Ming Yin
You'd Better Stop! Understanding Human Reliance on Machine Learning Models under Covariate Shift. WebSci (2021)
Xinru Wang, Ming Yin
Are Explanations Helpful? A Comparative Study of the Effects of Explanations in AI-Assisted Decision-Making. IUI (2021)
Ming Yin, Yu-Xiang Wang
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism. NeurIPS (2021)
Ming Yin, Yu Bai, Yu-Xiang Wang
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning. AISTATS (2021)
Ming Yin, Yu-Xiang Wang
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings. NeurIPS (2021)
Zongze Wu, Chunchen Su, Ming Yin, Zhigang Ren, Shengli Xie
Subspace clustering via stacked independent subspace analysis networks with sparse prior information. Pattern Recognit. Lett. 146 (2021)
Feiran Jie, Qingfeng Nie, Mingsuo Li, Ming Yin, Taisong Jin
Atrous spatial pyramid convolution for object detection with encoder-decoder. Neurocomputing 464 (2021)
Ming Yin, Yu-Xiang Wang
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism. CoRR (2021)
Ming Yin, Wei Liu, Mingsuo Li, Taisong Jin, Rongrong Ji
Cauchy loss induced block diagonal representation for robust multi-view subspace clustering. Neurocomputing 427 (2021)
Amy Rechkemmer, Ming Yin
Motivating Novice Crowd Workers through Goal Setting: An Investigation into the Effects on Complex Crowdsourcing Task Training. HCOMP (2020)
Ming Yin, Yu-Xiang Wang
Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning. CoRR (2020)
Xiaoni Duan, Chien-Ju Ho, Ming Yin
Does Exposure to Diverse Perspectives Mitigate Biases in Crowdwork? An Explorative Study. HCOMP (2020)
Xiangyun Yin, Ming Yin, Luofeng Xie, Guofu Yin
Automatic Measurement System of Section Geometry Parameters for Composite Filter Rods Based on Machine Vision. IEEE Trans. Instrum. Meas. 69 (7) (2020)
Lijuan Wang, Jiawen Huang, Ming Yin, Ruichu Cai, Zhifeng Hao
Block diagonal representation learning for robust subspace clustering. Inf. Sci. 526 (2020)
Ming Yin, Yu Bai, Yu-Xiang Wang
Near Optimal Provable Uniform Convergence in Off-Policy Evaluation for Reinforcement Learning. CoRR (2020)
Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin
Crowdsourcing Detection of Sampling Biases in Image Datasets. WWW (2020)
Ming Yin, Weitian Huang, Junbin Gao
Shared Generative Latent Representation Learning for Multi-View Clustering. AAAI (2020)
Ming Yin, Yu-Xiang Wang
Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning. AISTATS (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ming Yin