Yun Dai

43 papers A* 2C 3Journal 30Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Development and validation of a scenario-based multiple-choice test of AI ethical competence (AIEC) using item response theory.
Comput. Educ.
Yun Dai, Chen Chen, Ziyan Lin, Jianjun Qin, Yanmei Guo
2026 J jnl
Semantic Search At LinkedIn.
CoRR
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
2025 J jnl
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation.
CoRR
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
2025 J jnl
A Theoretical Framework of Student Agency in AI- Assisted Learning: A Grounded Theory Approach.
CoRR
Yun Dai, Sichen Lai
2025 J jnl
Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints.
CoRR
Zhengdong Lu, Weikai Lu, Yiling Tao, Yun Dai, Zixuan Chen, Huiping Zhuang, Cen Chen, Hao Peng, Ziqian Zeng
2025 J jnl
Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications.
CoRR
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
2025 — conf
Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems.
WWW (Companion Volume)
Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu
2025 J jnl
Financial Reporting Regulation in the Laboratory: A Case on Earnings Management.
Manag. Sci.
Yun Dai, Te Bao, Jiahua Zhu
2025 A* conf
Fostering Epistemic Insights into AI Ethics through a Constructionist Pedagogy: An Interdisciplinary Approach to AI Literacy.
AAAI
Ziyan Lin, Yun Dai
2025 J jnl
Human Agency and Creativity in AI-Assisted Learning Environments.
CoRR
Yun Dai
2025 J jnl
Integrating unplugged and plugged activities for holistic AI education: An embodied constructionist pedagogical approach.
Educ. Inf. Technol.
Yun Dai
2025 J jnl
Iterative Layout-Aware Power, Thermal, and IR-Drop Co-Optimization: Ensuring Convergency in 3D-ICs.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Mohamed Naeim, Dwaipayan Biswas, Yun Dai, Odysseas Zografos, Herman Oprins, Geert Van der Plas, CT Kao, Pinhong Chen, Dragomir Milojevic
2025 J jnl
LANTERN: Scalable Distillation of Large Language Models for Job-Person Fit and Explanation.
CoRR
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
2025 — conf
Multi-Morphology Flexible TPMS Structures with Gradient Fusion for Wearable Spinal Robot: Design, Manufacturing, and Experiment.
ROBIO
Jiaxiang Zhou, Weishi Li, Zihang Chen, Yejing Zhou, Yun Dai, Sikai Wang, Shimin Wei, Jian Li
2025 J jnl
Quality-aware industrial data imputation with self-supervised recovery for process soft sensor development.
Comput. Chem. Eng.
Yun Dai, Chao Yang, Kaixin Liu, Yi Liu, Yuan Yao
2025 — conf
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems.
EMNLP (Industry Track)
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
2024 J jnl
An embodied, analogical and disruptive approach of AI pedagogy in upper elementary education: An experimental study.
Br. J. Educ. Technol.
Yun Dai, Ziyan Lin, Ang Liu, Wenlan Wang
2024 J jnl
Enhancing Stability for Large Models Training in Constrained Bandwidth Networks.
CoRR
Yun Dai, Tejas Dharamsi, Byron Hsu, Tao Song, Hamed Firooz
2024 A* conf
LiRank: Industrial Large Scale Ranking Models at LinkedIn.
KDD
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
2024 J jnl
LiRank: Industrial Large Scale Ranking Models at LinkedIn.
CoRR
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
2024 J jnl
Liger Kernel: Efficient Triton Kernels for LLM Training.
CoRR
Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, Qingquan Song, Shao Tang, Siyu Zhu, Steven Shimizu, Shivam Sahni, Haowen Ning, Yanning Chen
2024 J jnl
MM-Transformer: A Transformer-Based Knowledge Graph Link Prediction Model That Fuses Multimodal Features.
Symmetry
Dongsheng Wang, Kangjie Tang, Jun Zeng, Yue Pan, Yun Dai, Huige Li, Bin Han
2024 — conf
Thermal Analysis of 3D Stacking and BEOL Technologies with Functional Partitioning of Many-Core RISC-V SoC.
ISVLSI
Mohamed Naeim, Herman Oprins, Sudipta Das, Geert Van der Plas, Yun Dai, Pinhong Chen, CT Kao, Dwaipayan Biswas, Dragomir Milojevic
2023 — conf
A High Precision Current Sampling Circuit with Rail-to-Rail Common-Mode Input Range.
ASICON
Zekun Zhou, Yun Dai, Jianli Lou, Yue Shi, Bo Zhang
2023 J jnl
Generative adversarial network-assisted image classification for imbalanced tire X-ray defect detection.
Trans. Inst. Meas. Control
Shuang Gao, Yun Dai, Yongchao Xu, Jinyin Chen, Yi Liu
2023 C conf
Incorporation of Robotics in AI Education: Barriers and Enablers as Perceived by K-12 Teachers.
ICCE
Miao Yue, Morris Siu-Yung Jong, Yun Dai, Eric Tsun-Hin Luk
2022 J jnl
A MUSIC-Based Algorithm For Localization of Hybrid Near-Field and Far-Field Sources.
Circuits Syst. Signal Process.
Kejun Yin, Yun Dai, Chunming Gao
2022 J jnl
A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education.
Comput. Educ.
Qi Xia, Thomas K. F. Chiu, Min Lee, Ismaila Temitayo Sanusi, Yun Dai, Ching Sing Chai
2022 J jnl
Mixed Near-Field and Far-field Source Localization Using COLD Arrays.
Circuits Syst. Signal Process.
Kejun Yin, Yun Dai, Chunming Gao
2022 J jnl
Near-Field DOA-Range and Polarization Estimation Based on Exact Propagation Model with COLD Arrays.
Circuits Syst. Signal Process.
Kejun Yin, Yun Dai, Chunming Gao
2021 J jnl
Modeling the structural relationship among primary students' motivation to learn artificial intelligence.
Comput. Educ. Artif. Intell.
Pei-Yi Lin, Ching-Sing Chai, Morris Siu-Yung Jong, Yun Dai, Yanmei Guo, Jianjun Qin
2021 J jnl
Research on Information Dissemination of Natural Disasters Based on System Dynamics.
J. Inf. Sci. Eng.
Yun Dai, Long Zhang, Zhansheng Zhao
2020 — conf
Personalizing Peer Instruction in a Flipped Classroom.
TALE
Yun Dai, Ang Liu
2020 C conf
Primary students' readiness for learning of artificial intelligence: A case study in Beijing.
ICCE
Ching Sing Chai, Pei-Yi Lin, Morris Siu-Yung Jong, Yun Dai, Thomas K. F. Chiu
2019 J jnl
Image Registration Based on Camera Calibration for Dual-Wavelength Retinal Oximetry.
IEEE Access
Yong-Li Xian, Cong-Zheng Wang, Yun Dai
2019 J jnl
Situating videoconferencing in a connected class toward intercultural knowledge development: A comparative reflection approach.
Internet High. Educ.
Yun Dai
2019 J jnl
Student pathways to understanding the global virtual teams: an ethnographic study.
Interact. Learn. Environ.
Yun Dai, Stephen Lu, Ang Liu
2019 J jnl
Understanding student variances in learning outcomes and task interpretations from multimedia presentations.
Br. J. Educ. Technol.
Yun Dai, Ang Liu
2018 J jnl
Upper bounds for adjacent vertex-distinguishing edge coloring.
J. Comb. Optim.
Junlei Zhu, Yuehua Bu, Yun Dai
2016 — conf
Constrained Semantic Grammar Enabled Question Answering System.
Monterey Workshop
Dongsheng Wang, Shi Wang, Weiming Wang, Jianhui Fu, Yun Dai
2013 J jnl
Similar bidders in takeover contests.
Games Econ. Behav.
Yun Dai, Sebastian Gryglewicz, Han T. J. Smit, Wouter De Maeseneire
2008 — ch.
Improving Neural Network Promoter Prediction by Exploiting the Lengths of Coding and Non-Coding Sequences.
Advances of Computational Intelligence in Industrial Systems
Rachel Caldwell, Yun Dai, Sheenal Srivastava, Yan-Xia Lin, Ren Zhang
2006 C conf
The Probability Distribution of Distance TSS-TLS Is Organism Characteristic and Can Be Used for Promoter Prediction.
IEA/AIE
Yun Dai, Ren Zhang, Yan-Xia Lin