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Yun Dai
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2020 – today
- 2024
- [j15]Yun Dai, Ziyan Lin, Ang Liu, Wenlan Wang:
An embodied, analogical and disruptive approach of AI pedagogy in upper elementary education: An experimental study. Br. J. Educ. Technol. 55(1): 417-434 (2024) - [j14]Dongsheng Wang, Kangjie Tang, Jun Zeng, Yue Pan, Yun Dai, Huige Li, Bin Han:
MM-Transformer: A Transformer-Based Knowledge Graph Link Prediction Model That Fuses Multimodal Features. Symmetry 16(8): 961 (2024) - [c6]Mohamed Naeim, Herman Oprins, Sudipta Das, Geert Van der Plas, Yun Dai, Pinhong Chen, CT Kao, Dwaipayan Biswas, Dragomir Milojevic:
Thermal Analysis of 3D Stacking and BEOL Technologies with Functional Partitioning of Many-Core RISC-V SoC. ISVLSI 2024: 33-38 - [c5]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, 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:
LiRank: Industrial Large Scale Ranking Models at LinkedIn. KDD 2024: 4804-4815 - [i3]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, 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:
LiRank: Industrial Large Scale Ranking Models at LinkedIn. CoRR abs/2402.06859 (2024) - [i2]Yun Dai, Tejas Dharamsi, Byron Hsu, Tao Song, Hamed Firooz:
Enhancing Stability for Large Models Training in Constrained Bandwidth Networks. CoRR abs/2407.01614 (2024) - [i1]Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, Qingquan Song, Shao Tang, Siyu Zhu, Steven Shimizu, Shivam Sahni, Haowen Ning, Yanning Chen:
Liger Kernel: Efficient Triton Kernels for LLM Training. CoRR abs/2410.10989 (2024) - 2023
- [j13]Shuang Gao, Yun Dai, Yongchao Xu, Jinyin Chen, Yi Liu:
Generative adversarial network-assisted image classification for imbalanced tire X-ray defect detection. Trans. Inst. Meas. Control 45(8): 1492-1504 (2023) - [c4]Zekun Zhou, Yun Dai, Jianli Lou, Yue Shi, Bo Zhang:
A High Precision Current Sampling Circuit with Rail-to-Rail Common-Mode Input Range. ASICON 2023: 1-5 - 2022
- [j12]Qi Xia, Thomas K. F. Chiu, Min Lee, Ismaila Temitayo Sanusi, Yun Dai, Ching Sing Chai:
A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education. Comput. Educ. 189: 104582 (2022) - [j11]Kejun Yin, Yun Dai, Chunming Gao:
Mixed Near-Field and Far-field Source Localization Using COLD Arrays. Circuits Syst. Signal Process. 41(6): 3642-3655 (2022) - [j10]Kejun Yin, Yun Dai, Chunming Gao:
Near-Field DOA-Range and Polarization Estimation Based on Exact Propagation Model with COLD Arrays. Circuits Syst. Signal Process. 41(9): 5183-5200 (2022) - [j9]Kejun Yin, Yun Dai, Chunming Gao:
A MUSIC-Based Algorithm For Localization of Hybrid Near-Field and Far-Field Sources. Circuits Syst. Signal Process. 41(11): 6547-6559 (2022) - 2021
- [j8]Pei-Yi Lin, Ching-Sing Chai, Morris Siu-Yung Jong, Yun Dai, Yanmei Guo, Jianjun Qin:
Modeling the structural relationship among primary students' motivation to learn artificial intelligence. Comput. Educ. Artif. Intell. 2: 100006 (2021) - [j7]Yun Dai, Long Zhang, Zhansheng Zhao:
Research on Information Dissemination of Natural Disasters Based on System Dynamics. J. Inf. Sci. Eng. 37(1): 67-78 (2021) - 2020
- [c3]Yun Dai, Ang Liu:
Personalizing Peer Instruction in a Flipped Classroom. TALE 2020: 47-54
2010 – 2019
- 2019
- [j6]Yong-Li Xian, Cong-Zheng Wang, Yun Dai:
Image Registration Based on Camera Calibration for Dual-Wavelength Retinal Oximetry. IEEE Access 7: 128498-128509 (2019) - [j5]Yun Dai, Ang Liu:
Understanding student variances in learning outcomes and task interpretations from multimedia presentations. Br. J. Educ. Technol. 50(5): 2685-2702 (2019) - [j4]Yun Dai:
Situating videoconferencing in a connected class toward intercultural knowledge development: A comparative reflection approach. Internet High. Educ. 41: 1-10 (2019) - [j3]Yun Dai, Stephen Lu, Ang Liu:
Student pathways to understanding the global virtual teams: an ethnographic study. Interact. Learn. Environ. 27(1): 3-14 (2019) - 2018
- [j2]Junlei Zhu, Yuehua Bu, Yun Dai:
Upper bounds for adjacent vertex-distinguishing edge coloring. J. Comb. Optim. 35(2): 454-462 (2018) - 2016
- [c2]Dongsheng Wang, Shi Wang, Weiming Wang, Jianhui Fu, Yun Dai:
Constrained Semantic Grammar Enabled Question Answering System. Monterey Workshop 2016: 55-65 - 2013
- [j1]Yun Dai, Sebastian Gryglewicz, Han T. J. Smit, Wouter De Maeseneire:
Similar bidders in takeover contests. Games Econ. Behav. 82: 544-561 (2013)
2000 – 2009
- 2008
- [p1]Rachel Caldwell, Yun Dai, Sheenal Srivastava, Yan-Xia Lin, Ren Zhang:
Improving Neural Network Promoter Prediction by Exploiting the Lengths of Coding and Non-Coding Sequences. Advances of Computational Intelligence in Industrial Systems 2008: 213-230 - 2006
- [c1]Yun Dai, Ren Zhang, Yan-Xia Lin:
The Probability Distribution of Distance TSS-TLS Is Organism Characteristic and Can Be Used for Promoter Prediction. IEA/AIE 2006: 927-934
Coauthor Index
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