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Kailun Wu
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2020 – today
- 2024
- [c8]Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang:
Learned ISTA with Error-Based Thresholding for Adaptive Sparse Coding. ICASSP 2024: 9301-9305 - 2022
- [j3]Yiwen Sun, Kun Fu, Zheng Wang, Donghua Zhou, Kailun Wu, Jieping Ye, Changshui Zhang:
CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task. IEEE Trans. Intell. Transp. Syst. 23(5): 4037-4048 (2022) - [c7]Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. KDD 2022: 2050-2058 - [c6]Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Yong-Nan Zhu, Zhangming Chan, Na Mou, Xinchen Luo, Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng:
CAN: Feature Co-Action Network for Click-Through Rate Prediction. WSDM 2022: 57-65 - 2021
- [i5]Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang:
Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding. CoRR abs/2112.10985 (2021) - [i4]Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. CoRR abs/2112.11136 (2021) - 2020
- [j2]Kailun Wu, Yiwen Guo, Changshui Zhang:
Compressing Deep Neural Networks With Sparse Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3828-3838 (2020) - [c5]Yulu Wang, Kailun Wu, Changshui Zhang:
Adversarial Attacks on Deep Unfolded Networks for Sparse Coding. ICASSP 2020: 5974-5978 - [c4]Kailun Wu, Yiwen Guo, Ziang Li, Changshui Zhang:
Sparse Coding with Gated Learned ISTA. ICLR 2020 - [i3]Yuhai Song, Zhong Cao, Kailun Wu, Ziang Yan, Changshui Zhang:
Learning Fast Approximations of Sparse Nonlinear Regression. CoRR abs/2010.13490 (2020) - [i2]Guorui Zhou, Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Na Mou, Xinchen Luo, Chi Zhang, Xianjie Qiao, Shiming Xiang, Kun Gai, Xiaoqiang Zhu, Jian Xu:
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. CoRR abs/2011.05625 (2020)
2010 – 2019
- 2019
- [i1]Guorui Zhou, Kailun Wu, Weijie Bian, Zhao Yang, Xiaoqiang Zhu, Kun Gai:
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling. CoRR abs/1906.10304 (2019) - 2018
- [j1]Chengzhe Yan, Kailun Wu, Changshui Zhang:
A New Anchor-Labeling Method For Oriented Text Detection Using Dense Detection Framework. IEEE Signal Process. Lett. 25(9): 1295-1299 (2018) - [c3]Kailun Wu, Changshui Zhang:
Deep Generative Adversarial Networks for the Sparse Signal Denoising. ICPR 2018: 1127-1132 - [c2]Jiang Lu, Zhong Cao, Kailun Wu, Gang Zhang, Changshui Zhang:
Boosting Few-Shot Image Recognition Via Domain Alignment Prototypical Networks. ICTAI 2018: 260-264 - 2017
- [c1]Rui Lu, Kailun Wu, Zhiyao Duan, Changshui Zhang:
Deep ranking: Triplet MatchNet for music metric learning. ICASSP 2017: 121-125
Coauthor Index
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last updated on 2024-08-07 21:31 CEST by the dblp team
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