Lu Wang - RankMe

18 papers A* 7A 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generative Click-through Rate Prediction with Applications to Search Advertising. CoRR Lingwei Kong, Lu Wang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
2025	J	`jnl`	Generative Modeling with Multi-Instance Reward Learning for E-commerce Creative Optimization. CoRR Qiaolei Gu, Yu Li, DingYi Zeng, Lu Wang, Ming Pang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
2024	A*	`conf`	Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems. AAAI Zhiguang Yang, Liufang Sang, Haoran Wang, Wenlong Chen, Lu Wang, Jie He, Changping Peng, Zhangang Lin, Chun Gan, Jingping Shao
2023	A*	`conf`	LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising. SIGIR Lingwei Kong, Lu Wang, Xiwei Zhao, Junsheng Jin, Zhangang Lin, Jinghe Hu, Jingping Shao
2023	J	`jnl`	Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems. CoRR Zhiguang Yang, Lu Wang, Chun Gan, Liufang Sang, Haoran Wang, Wenlong Chen, Jie He, Changping Peng, Zhangang Lin, Jingping Shao
2023	A	`conf`	Pluggable Deep Thompson Sampling with Applications to Recommendation. SDM Lu Wang, Yuhai Song, Zhe Wang, Haoxiang Wang, Yu Li, Weiwei Zhou, Haoming Dang, Mona Shao, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
2022	A*	`conf`	Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads. WWW Kaifu Zheng, Lu Wang, Yu Li, Xusong Chen, Hu Liu, Jing Lu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao
2022	J	`jnl`	Improving generalization of deep neural networks by leveraging margin distribution. Neural Networks Shen-Huan Lyu, Lu Wang, Zhi-Hua Zhou
2021	A*	`conf`	Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems. SIGIR Yuhai Song, Lu Wang, Haoming Dang, Weiwei Zhou, Jing Guan, Xiwei Zhao, Changping Peng, Yongjun Bao, Jingping Shao
2020	A*	`conf`	Provably Robust Metric Learning. NeurIPS Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh
2020	J	`jnl`	Provably Robust Metric Learning. CoRR Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh
2020	J	`jnl`	Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data. CoRR Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
2020	J	`jnl`	Spanning attack: reinforce black-box attacks with unlabeled data. Mach. Learn. Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
2019	J	`jnl`	Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective. CoRR Lu Wang, Xuanqing Liu, Jinfeng Yi, Zhi-Hua Zhou, Cho-Jui Hsieh
2018	J	`jnl`	Optimal Margin Distribution Network. CoRR Shen-Huan Lv, Lu Wang, Zhi-Hua Zhou
2016	A*	`conf`	Cost-Saving Effect of Crowdsourcing Learning. IJCAI Lu Wang, Zhi-Hua Zhou
2016	J	`jnl`	One-pass AUC optimization. Artif. Intell. Wei Gao, Lu Wang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
2016	A*	`conf`	Risk Minimization in the Presence of Label Noise. AAAI Wei Gao, Lu Wang, Yufeng Li, Zhi-Hua Zhou