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Published in IEEE Transactions on Knowledge and Data Engineering, 2021
This paper is about mining scientific data with machine learning methods.
Recommended citation: Yin, Da & Tam, Weng & Ding, Ming & Tang, Jie. (2021). MRT: Tracing the Evolution of Scientific Publications. IEEE Transactions on Knowledge and Data Engineering. PP. 1-1. 10.1109/TKDE.2021.3088139. http://keg.cs.tsinghua.edu.cn/jietang/publications/TKDE21-Yin-et-al-MRT-Tracing-the-Evolution-of-Scientific-Publications.pdf
Published in The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
This paper is about using heuristic methods to improve the quality of generated texts via large language models.
Recommended citation: Zou, Xu & Yin, Da & Zhong, Qingyang & Yang, Hongxia & Yang, Zhilin & Tang, Jie. (2021). Controllable Generation from Pre-trained Language Models via Inverse Prompting. 2450-2460. 10.1145/3447548.3467418. http://keg.cs.tsinghua.edu.cn/jietang/publications/KDD21-Zou-et-al-Controllable-Generation-from-Pre-trained-Language-Models-via-Inverse-Prompting.pdf
Published in The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
This paper is about training large language model on top of scientific data.
Recommended citation: Liu, Xiao & Yin, Da & Zheng, Jingnan & Zhang, Xingjian & Zhang, Peng & Yang, Hongxia & Yuxiao, Dong & Tang, Jie. (2022). OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. 3418-3428. 10.1145/3534678.3539210. http://keg.cs.tsinghua.edu.cn/jietang/publications/KDD22-Liu-et-al-OAG-BERT.pdf
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This is a demo talk presenting how to integrate Jenkins with KubeVela to automate the continuous integration and delivery process of applications.
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This is a talk presented on CD Foundation’s community meeting on behalf of the KubeVela team. It introduces KubeVela’s basic concepts and design principles. A demo is included to show how to integrate KubeVela with third-party projects.
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This talk introduces the basic concepts of KubeVela and how it works. A live demo is also included which shows how to integrate KubeVela with third-party projects, such as observability tools.
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A KubeVela introduction is presented at the general meeting of the TAG app delivery, focusing the basic ideas and functionalities of the KubeVela.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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