Lu Wang

According to our database, Lu Wang authored at least 14 papers between 2016 and 2025.

Collaborative distances:

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

2025

Generative Click-through Rate Prediction with Applications to Search Advertising.

Lingwei Kong, Lu Wang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao

CoRR, July, 2025

2024

Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems.

Zhiguang Yang, Liufang Sang, Haoran Wang, Wenlong Chen, Lu Wang, Jie He, Changping Peng, Zhangang Lin, Chun Gan, Jingping Shao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising.

Lingwei Kong, Lu Wang, Xiwei Zhao, Junsheng Jin, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Pluggable Deep Thompson Sampling with Applications to Recommendation.

Lu Wang, Yuhai Song, Zhe Wang, Haoxiang Wang, Yu Li, Weiwei Zhou, Haoming Dang, Mona Shao, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Improving generalization of deep neural networks by leveraging margin distribution.

Shen-Huan Lyu, Lu Wang, Zhi-Hua Zhou

Neural Networks, 2022

Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads.

Kaifu Zheng, Lu Wang, Yu Li, Xusong Chen, Hu Liu, Jing Lu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems.

Yuhai Song, Lu Wang, Haoming Dang, Weiwei Zhou, Jing Guan, Xiwei Zhao, Changping Peng, Yongjun Bao, Jingping Shao

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Spanning attack: reinforce black-box attacks with unlabeled data.

Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang

Mach. Learn., 2020

Provably Robust Metric Learning.

Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective.

Lu Wang, Xuanqing Liu, Jinfeng Yi, Zhi-Hua Zhou, Cho-Jui Hsieh

CoRR, 2019

2018

Optimal Margin Distribution Network.

Shen-Huan Lv, Lu Wang, Zhi-Hua Zhou

CoRR, 2018

2016

One-pass AUC optimization.

Wei Gao, Lu Wang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou

Artif. Intell., 2016

Cost-Saving Effect of Crowdsourcing Learning.

Lu Wang, Zhi-Hua Zhou

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Risk Minimization in the Presence of Label Noise.

Wei Gao, Lu Wang, Yufeng Li, Zhi-Hua Zhou

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016