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A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges


May 08, 2022
Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong


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ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data


Mar 15, 2022
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li

* Under Review. The main paper is 16 pages, and the supplementary is 9 pages 

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Learning Temporal Consistency for Source-Free Video Domain Adaptation


Mar 09, 2022
Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Wu Min, Zhenghua Chen

* 22 pages, 5 figures, 7 tables 

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Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study


Feb 26, 2022
Yuecong Xu, Jianfei Yang, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu

* Summary of UG2 2021 Track 2, 22 pages, 5 figures, 3 tables 

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Self-supervised Autoregressive Domain Adaptation for Time Series Data


Nov 29, 2021
Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li

* Under Review 

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Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer


Oct 06, 2021
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang

* Accepted at NeurIPS 2021 

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Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment


Sep 26, 2021
Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Rui Zhao, Zhenghua Chen

* 10 pages, 5 figures, Dataset to be available at https://xuyu0010.github.io/msvda.html 

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Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues


Jul 20, 2021
Xingxing Yang, Jie Chen, Zaifeng Yang, Zhenghua Chen


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