Kailun Wu

According to our database, Kailun Wu authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learned ISTA with Error-Based Thresholding for Adaptive Sparse Coding.

Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task.

Yiwen Sun, Kun Fu, Zheng Wang, Donghua Zhou, Kailun Wu, Jieping Ye, Changshui Zhang

IEEE Trans. Intell. Transp. Syst., 2022

CAN: Feature Co-Action Network for Click-Through Rate Prediction.

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

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction.

Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Compressing Deep Neural Networks With Sparse Matrix Factorization.

Kailun Wu, Yiwen Guo, Changshui Zhang

IEEE Trans. Neural Networks Learn. Syst., 2020

CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction.

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

CoRR, 2020

Learning Fast Approximations of Sparse Nonlinear Regression.

Yuhai Song, Zhong Cao, Kailun Wu, Ziang Yan, Changshui Zhang

CoRR, 2020

Sparse Coding with Gated Learned ISTA.

Kailun Wu, Yiwen Guo, Ziang Li, Changshui Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

Adversarial Attacks on Deep Unfolded Networks for Sparse Coding.

Yulu Wang, Kailun Wu, Changshui Zhang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling.

Guorui Zhou, Kailun Wu, Weijie Bian, Zhao Yang, Xiaoqiang Zhu, Kun Gai

CoRR, 2019

2018

A New Anchor-Labeling Method For Oriented Text Detection Using Dense Detection Framework.

Chengzhe Yan, Kailun Wu, Changshui Zhang

IEEE Signal Process. Lett., 2018

Boosting Few-Shot Image Recognition Via Domain Alignment Prototypical Networks.

Jiang Lu, Zhong Cao, Kailun Wu, Gang Zhang, Changshui Zhang

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Deep Generative Adversarial Networks for the Sparse Signal Denoising.

Kailun Wu, Changshui Zhang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Deep ranking: Triplet MatchNet for music metric learning.

Rui Lu, Kailun Wu, Zhiyao Duan, Changshui Zhang

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017