Yun Dai

According to our database, Yun Dai authored at least 42 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Semantic Search At LinkedIn.

Fedor Borisyuk, Sriram Vasudevan, Muchen Wu, Guoyao Li, Benjamin Le, Shaobo Zhang, Kay Qianqi Shen, Yuchin Juan, Kayhan Behdin, Liming Dong, Kaixu Yang, Shusen Jing, Ravi Pothamsetty, Rajat Arora, Sophie Yanying Sheng, Vitaly Abdrashitov, Yang Zhao, Lin Su, Xiaoqing Wang, Chujie Zheng, Sarang Metkar, Rupesh Gupta, Igor Lapchuk, David N. Racca, Madhumitha Mohan, Yanbo Li, Haojun Li, Saloni Gandhi, Xueying Lu, Chetan Bhole, Ali Hooshmand, Xin Yang, Raghavan Muthuregunathan, Jiajun Zhang, Mathew Teoh, Adam Coler, Abhinav Gupta, Xiaojing Ma, Sundara Raman Ramachandran, Morteza Ramezani, Yubo Wang, Lijuan Zhang, Richard Li, Jian Sheng, Chanh Nguyen, Yen-Chi Chen, Chuanrui Zhu, Claire Zhang, Jiahao Xu, Deepti Kulkarni, Qing Lan, Arvind Subramaniam, Ata Fatahi Baarzi, Steven Shimizu, Yanning Chen, Zhipeng Wang, Ran He, Zhengze Zhou, Qingquan Song, Yun Dai, Caleb Johnson, Ping Liu, Shaghayegh Gharghabi, Gokulraj Mohanasundaram, Juan Bottaro, Santhosh Sachindran, Qi Guo, Yunxiang Ren, Chengming Jiang, Di Mo, Luke Simon, Jianqiang Shen, Jingwei Wu, Wenjing Zhang

CoRR, February, 2026

Development and validation of a scenario-based multiple-choice test of AI ethical competence (AIEC) using item response theory.

Yun Dai, Chen Chen, Ziyan Lin, Jianjun Qin, Yanmei Guo

Comput. Educ., 2026

2025

Iterative Layout-Aware Power, Thermal, and IR-Drop Co-Optimization: Ensuring Convergency in 3D-ICs.

Mohamed Naeim, Dwaipayan Biswas, Yun Dai, Odysseas Zografos, Herman Oprins, Geert Van der Plas, CT Kao, Pinhong Chen, Dragomir Milojevic

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2025

A Theoretical Framework of Student Agency in AI- Assisted Learning: A Grounded Theory Approach.

Yun Dai, Sichen Lai

CoRR, December, 2025

Human Agency and Creativity in AI-Assisted Learning Environments.

Yun Dai

CoRR, December, 2025

LANTERN: Scalable Distillation of Large Language Models for Job-Person Fit and Explanation.

Zhoutong Fu, Yihan Cao, Yi-Lin Chen, Aman Lunia, Liming Dong, Neha Saraf, Ruijie Jiang, Yun Dai, Qingquan Song, Tan Wang, Guoyao Li, Derek Koh, Haichao Wei, Zhipeng Wang, Aman Gupta, Chengming Jiang, Jianqiang Shen, Liangjie Hong, Wenjing Zhang

CoRR, October, 2025

Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints.

Zhengdong Lu, Weikai Lu, Yiling Tao, Yun Dai, Zixuan Chen, Huiping Zhuang, Cen Chen, Hao Peng, Ziqian Zeng

CoRR, June, 2025

Integrating unplugged and plugged activities for holistic AI education: An embodied constructionist pedagogical approach.

Yun Dai

Educ. Inf. Technol., April, 2025

Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications.

Kayhan Behdin, Yun Dai, Ata Fatahi Baarzi, Aman Gupta, Qingquan Song, Shao Tang, Hejian Sang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Maziar Sanjabi, Vignesh Kothapalli, Hamed Firooz, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Zhipeng Wang, Rahul Mazumder, Natesh S. Pillai, Luke Simon

CoRR, February, 2025

360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation.

Hamed Firooz, Maziar Sanjabi, Adrian Englhardt, Aman Gupta, Ben Levine, Dre Olgiati, Gungor Polatkan, Iuliia Melnychuk, Karthik Ramgopal, Kirill Talanine, Kutta Srinivasan, Luke Simon, Natesh Sivasubramoniapillai, Necip Fazil Ayan, Qingquan Song, Samira Sriram, Souvik Ghosh, Tao Song, Vignesh Kothapalli, Xiaoling Zhai, Ya Xu, Yu Wang, Yun Dai

CoRR, January, 2025

Financial Reporting Regulation in the Laboratory: A Case on Earnings Management.

Yun Dai, Te Bao, Jiahua Zhu

Manag. Sci., 2025

Quality-aware industrial data imputation with self-supervised recovery for process soft sensor development.

Yun Dai, Chao Yang, Kaixin Liu, Yi Liu, Yuan Yao

Comput. Chem. Eng., 2025

Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems.

Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Multi-Morphology Flexible TPMS Structures with Gradient Fusion for Wearable Spinal Robot: Design, Manufacturing, and Experiment.

Jiaxiang Zhou, Weishi Li, Zihang Chen, Yejing Zhou, Yun Dai, Sikai Wang, Shimin Wei, Jian Li

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems.

Kayhan Behdin, Ata Fatahi Baarzi, Qingquan Song, Yun Dai, Aman Gupta, Zhipeng Wang, Hejian Sang, Shao Tang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Vignesh Kothapalli, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Natesh S. Pillai, Luke Simon, Rahul Mazumder

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Fostering Epistemic Insights into AI Ethics through a Constructionist Pedagogy: An Interdisciplinary Approach to AI Literacy.

Ziyan Lin, Yun Dai

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

MM-Transformer: A Transformer-Based Knowledge Graph Link Prediction Model That Fuses Multimodal Features.

Dongsheng Wang, Kangjie Tang, Jun Zeng, Yue Pan, Yun Dai, Huige Li, Bin Han

Symmetry, August, 2024

An embodied, analogical and disruptive approach of AI pedagogy in upper elementary education: An experimental study.

Yun Dai, Ziyan Lin, Ang Liu, Wenlan Wang

Br. J. Educ. Technol., January, 2024

Liger Kernel: Efficient Triton Kernels for LLM Training.

Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, Qingquan Song, Shao Tang, Siyu Zhu, Steven Shimizu, Shivam Sahni, Haowen Ning, Yanning Chen

CoRR, 2024

Enhancing Stability for Large Models Training in Constrained Bandwidth Networks.

Yun Dai, Tejas Dharamsi, Byron Hsu, Tao Song, Hamed Firooz

CoRR, 2024

LiRank: Industrial Large Scale Ranking Models at LinkedIn.

Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Singh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Thermal Analysis of 3D Stacking and BEOL Technologies with Functional Partitioning of Many-Core RISC-V SoC.

Mohamed Naeim, Herman Oprins, Sudipta Das, Geert Van der Plas, Yun Dai, Pinhong Chen, CT Kao, Dwaipayan Biswas, Dragomir Milojevic

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

2023

Generative adversarial network-assisted image classification for imbalanced tire X-ray defect detection.

Shuang Gao, Yun Dai, Yongchao Xu, Jinyin Chen, Yi Liu

Trans. Inst. Meas. Control, May, 2023

Incorporation of Robotics in AI Education: Barriers and Enablers as Perceived by K-12 Teachers.

Miao Yue, Morris Siu-Yung Jong, Yun Dai, Eric Tsun-Hin Luk

Proceedings of the Proceeding of the 31st International Conference on Computers in Education, 2023

A High Precision Current Sampling Circuit with Rail-to-Rail Common-Mode Input Range.

Zekun Zhou, Yun Dai, Jianli Lou, Yue Shi, Bo Zhang

Proceedings of the 15th IEEE International Conference on ASIC, 2023

2022

A MUSIC-Based Algorithm For Localization of Hybrid Near-Field and Far-Field Sources.

Kejun Yin, Yun Dai, Chunming Gao

Circuits Syst. Signal Process., 2022

Near-Field DOA-Range and Polarization Estimation Based on Exact Propagation Model with COLD Arrays.

Kejun Yin, Yun Dai, Chunming Gao

Circuits Syst. Signal Process., 2022

Mixed Near-Field and Far-field Source Localization Using COLD Arrays.

Kejun Yin, Yun Dai, Chunming Gao

Circuits Syst. Signal Process., 2022

A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education.

Qi Xia, Thomas K. F. Chiu, Min Lee, Ismaila Temitayo Sanusi, Yun Dai, Ching Sing Chai

Comput. Educ., 2022

2021

Research on Information Dissemination of Natural Disasters Based on System Dynamics.

Yun Dai, Long Zhang, Zhansheng Zhao

J. Inf. Sci. Eng., 2021

Modeling the structural relationship among primary students' motivation to learn artificial intelligence.

Pei-Yi Lin, Ching-Sing Chai, Morris Siu-Yung Jong, Yun Dai, Yanmei Guo, Jianjun Qin

Comput. Educ. Artif. Intell., 2021

2020

Personalizing Peer Instruction in a Flipped Classroom.

Yun Dai, Ang Liu

Proceedings of the IEEE International Conference on Teaching, 2020

Primary students' readiness for learning of artificial intelligence: A case study in Beijing.

Ching Sing Chai, Pei-Yi Lin, Morris Siu-Yung Jong, Yun Dai, Thomas K. F. Chiu

Proceedings of the Proceeding of the 28th International Conference on Computers in Education, 2020

2019

Student pathways to understanding the global virtual teams: an ethnographic study.

Yun Dai, Stephen Lu, Ang Liu

Interact. Learn. Environ., 2019

Situating videoconferencing in a connected class toward intercultural knowledge development: A comparative reflection approach.

Yun Dai

Internet High. Educ., 2019

Understanding student variances in learning outcomes and task interpretations from multimedia presentations.

Yun Dai, Ang Liu

Br. J. Educ. Technol., 2019

Image Registration Based on Camera Calibration for Dual-Wavelength Retinal Oximetry.

Yong-Li Xian, Cong-Zheng Wang, Yun Dai

IEEE Access, 2019

2018

Upper bounds for adjacent vertex-distinguishing edge coloring.

Junlei Zhu, Yuehua Bu, Yun Dai

J. Comb. Optim., 2018

2016

Constrained Semantic Grammar Enabled Question Answering System.

Dongsheng Wang, Shi Wang, Weiming Wang, Jianhui Fu, Yun Dai

Proceedings of the Challenges and Opportunity with Big Data, 2016

2013

Similar bidders in takeover contests.

Yun Dai, Sebastian Gryglewicz, Han T. J. Smit, Wouter De Maeseneire

Games Econ. Behav., 2013

2008

Improving Neural Network Promoter Prediction by Exploiting the Lengths of Coding and Non-Coding Sequences.

Rachel Caldwell, Yun Dai, Sheenal Srivastava, Yan-Xia Lin, Ren Zhang

Proceedings of the Advances of Computational Intelligence in Industrial Systems, 2008

2006

The Probability Distribution of Distance TSS-TLS Is Organism Characteristic and Can Be Used for Promoter Prediction.

Yun Dai, Ren Zhang, Yan-Xia Lin

Proceedings of the Advances in Applied Artificial Intelligence, 2006