The Probability Distribution of Distance TSS-TLS Is Organism Characteristic and Can Be Used for Promoter Prediction. - Yun Dai; Ren Zhang 002; Yan-Xia Lin (IEA/AIE, 2006)

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 002 (Advances of Computational Intelligence in Industrial Systems, 2008)

Similar bidders in takeover contests. - Yun Dai; Sebastian Gryglewicz; Han T. J. Smit; Wouter De Maeseneire (Games Econ. Behav., 2013)

Constrained Semantic Grammar Enabled Question Answering System. - Dongsheng Wang 006; Shi Wang 002; Weiming Wang 002; Jianhui Fu; Yun Dai (Monterey Workshop, 2016)

Upper bounds for adjacent vertex-distinguishing edge coloring. - Junlei Zhu; Yuehua Bu; Yun Dai (J. Comb. Optim., 2018)

Image Registration Based on Camera Calibration for Dual-Wavelength Retinal Oximetry. - Yong-Li Xian; Cong-Zheng Wang; Yun Dai (IEEE Access, 2019)

Understanding student variances in learning outcomes and task interpretations from multimedia presentations. - Yun Dai; Ang Liu (Br. J. Educ. Technol., 2019)

Situating videoconferencing in a connected class toward intercultural knowledge development: A comparative reflection approach. - Yun Dai (Internet High. Educ., 2019)

Student pathways to understanding the global virtual teams: an ethnographic study. - Yun Dai; Stephen Lu; Ang Liu (Interact. Learn. Environ., 2019)

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 (ICCE, 2020)

Personalizing Peer Instruction in a Flipped Classroom. - Yun Dai; Ang Liu (TALE, 2020)

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)

Research on Information Dissemination of Natural Disasters Based on System Dynamics. - Yun Dai; Long Zhang; Zhansheng Zhao (J. Inf. Sci. Eng., 2021)

A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education. - Qi Xia 004; Thomas K. F. Chiu; Min Lee; Ismaila Temitayo Sanusi; Yun Dai; Ching Sing Chai (Comput. Educ., 2022)

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

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)

A High Precision Current Sampling Circuit with Rail-to-Rail Common-Mode Input Range. - Zekun Zhou; Yun Dai; Jianli Lou; Yue Shi 001; Bo Zhang 027 (ASICON, 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 (ICCE, 2023)

Generative adversarial network-assisted image classification for imbalanced tire X-ray defect detection. - Shuang Gao; Yun Dai; Yongchao Xu; Jinyin Chen; Yi Liu 024 (Trans. Inst. Meas. Control, 2023)

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 (ISVLSI, 2024)

LiRank: Industrial Large Scale Ranking Models at LinkedIn. - Fedor Borisyuk; Mingzhou Zhou; Qingquan Song; Siyu Zhu; Birjodh Tiwana; Ganesh Parameswaran; Siddharth Dangi; Lars Hertel; Qiang Charles Xiao; Xiaochen Hou; Yunbo Ouyang; Aman Gupta; et al. (KDD, 2024)

Enhancing Stability for Large Models Training in Constrained Bandwidth Networks. - Yun Dai; Tejas Dharamsi; Byron Hsu; Tao Song; Hamed Firooz (CoRR, 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)

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., 2024)

MM-Transformer: A Transformer-Based Knowledge Graph Link Prediction Model That Fuses Multimodal Features. - Dongsheng Wang 006; Kangjie Tang; Jun Zeng; Yue Pan; Yun Dai; Huige Li; Bin Han (Symmetry, 2024)

Fostering Epistemic Insights into AI Ethics through a Constructionist Pedagogy: An Interdisciplinary Approach to AI Literacy. - Ziyan Lin; Yun Dai (AAAI, 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 (WWW (Companion Volume), 2025)

Quality-aware industrial data imputation with self-supervised recovery for process soft sensor development. - Yun Dai; Chao Yang 019; Kaixin Liu; Yi Liu 024; Yuan Yao 002 (Comput. Chem. Eng., 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; et al. (CoRR, 2025)

From Features to Transformers: Redefining Ranking for Scalable Impact. - Fedor Borisyuk; Lars Hertel; Ganesh Parameswaran; Gaurav Srivastava 001; Sudarshan Srinivasa Ramanujam; Borja Ocejo; Peng Du; Andrei Akterskii; Neil Daftary; Shao Tang; Daqi Sun; Qiang Charles Xiao; et al. (CoRR, 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; et al. (CoRR, 2025)

Integrating unplugged and plugged activities for holistic AI education: An embodied constructionist pedagogical approach. - Yun Dai (Educ. Inf. Technol., 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 002; Hao Peng; Ziqian Zeng (CoRR, 2025)