Self-Practice Imitation Learning from Weak Policy. - Qing Da; Yang Yu 001; Zhi-Hua Zhou (PSL, 2013)

Learning with Augmented Class by Exploiting Unlabeled Data. - Qing Da; Yang Yu 001; Zhi-Hua Zhou (AAAI, 2014)

Napping for functional representation of policy. - Qing Da; Yang Yu 001; Zhi-Hua Zhou (AAMAS, 2014)

Boosting Nonparametric Policies. - Yang Yu 001; Peng-Fei Hou; Qing Da; Yu Qian (AAMAS, 2016)

Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation. - Shi-Yong Chen; Yang Yu 001; Qing Da; Jun Tan; Hai-Kuan Huang; Hai-Hong Tang (KDD, 2018)

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. - Yujing Hu; Qing Da; Anxiang Zeng; Yang Yu 001; Yinghui Xu (KDD, 2018)

Speeding up the Metabolism in e-Commerce by Reinforcement Mechanism Design. - Hua-Lin He; Chun-Xiang Pan; Qing Da; Anxiang Zeng (eCOM@SIGIR, 2018)

Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection. - Yusen Zhan; Qing Da; Fei Xiao; Anxiang Zeng; Yang Yu 001 (CoRR, 2018)

Reusable Reinforcement Learning via Shallow Trails. - Yang Yu 001; Shi-Yong Chen; Qing Da; Zhi-Hua Zhou (IEEE Trans. Neural Networks Learn. Syst., 2018)

Policy Optimization with Model-Based Explorations. - Feiyang Pan; Qingpeng Cai 001; Anxiang Zeng; Chun-Xiang Pan; Qing Da; Hua-Lin He; Qing He 003; Pingzhong Tang (AAAI, 2019)

Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning. - Jing-Cheng Shi; Yang Yu 001; Qing Da; Shi-Yong Chen; Anxiang Zeng (AAAI, 2019)

Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection. - Anxiang Zeng; Han Yu 001; Qing Da; Yusen Zhan; Chunyan Miao (AAAI, 2020)

Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space. - Pengcheng Li; Runze Li; Qing Da; Anxiang Zeng; Lijun Zhang 005 (CIKM, 2020)

Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce. - Guangda Huzhang; Zhen-Jia Pang; Yongqing Gao; Wen-Ji Zhou; Qing Da; Anxiang Zeng; Yang Yu 001 (CoRR, 2020)

Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction. - Yanshi Wang; Jie Zhang 002; Qing Da; Anxiang Zeng (CoRR, 2020)

A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments. - Yu-Hang Zhou; Peng Hu; Chen Liang; Huan Xu; Guangda Huzhang; Yinfu Feng; Qing Da; Xinshang Wang; Anxiang Zeng (AAAI, 2021)

Improving Search Engine Efficiency through Contextual Factor Selection. - Anxiang Zeng; Han Yu 001; Qing Da; Yusen Zhan; Yang Yu 001; Jingren Zhou 001; Chunyan Miao (AI Mag., 2021)

Diversity Regularized Interests Modeling for Recommender Systems. - Junmei Hao; Jingcheng Shi; Qing Da; Anxiang Zeng; Yujie Dun; Xueming Qian; Qianying Lin (CoRR, 2021)

Imitate TheWorld: A Search Engine Simulation Platform. - Yongqing Gao; Guangda Huzhang; Weijie Shen; Yawen Liu; Wen-Ji Zhou; Qing Da; Dan Shen; Yang Yu 001 (CoRR, 2021)

Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce. - Xuesi Wang; Guangda Huzhang; Qianying Lin; Qing Da; Dan Shen (CoRR, 2021)

A General Traffic Shaping Protocol in E-Commerce. - Chenlin Shen; Guangda Huzhang; Yu-Hang Zhou; Chen Liang; Qing Da (CoRR, 2021)

Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. - Qianying Lin; Wen-Ji Zhou; Yanshi Wang; Qing Da; Qing-Guo Chen; Bing Wang 017 (CIKM, 2022)

CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction. - Xulei Yang; Qing Da; Peisheng Qian; Bharadwaj Veeravalli; Tam Wai Leong; Lingyun Dai; Pär Nordlund; Nayana Prabhu; Ziyuan Zhao; Zeng Zeng (EMBC, 2022)

CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines. - Zeng Zeng; Shenghao Zhao; Qing Da; Peisheng Qian; Tam Wai Leong; Lingyun Dai; Pär Nordlund; Nayana Prabhu; Ziyuan Zhao; Xulei Yang (EMBC, 2022)

Cross-Lingual Product Retrieval in E-Commerce Search. - Wenya Zhu; Xiaoyu Lv; Baosong Yang; Yinghua Zhang; Xu Yong; Linlong Xu; Yinfu Feng; Haibo Zhang 013; Qing Da; Anxiang Zeng; Ronghua Chen (PAKDD (2), 2022)

DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce. - Wenya Zhu; Yinghua Zhang; Yu Zhang 006; Yu-Hang Zhou; Yinfu Feng; Yuxiang Wu; Qing Da; Anxiang Zeng (PAKDD (3), 2022)

Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization. - Shiyin Lu; Yu-Hang Zhou; Jing-Cheng Shi; Wenya Zhu; Qingtao Yu; Qing-Guo Chen; Qing Da; Lijun Zhang 005 (WSDM, 2022)

Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce. - Xuesi Wang; Guangda Huzhang; Qianying Lin; Qing Da (WSDM, 2022)

Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. - Qianying Lin; Wen-Ji Zhou; Yanshi Wang; Qing Da; Qing-Guo Chen; Bing Wang (CoRR, 2022)

AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. - Guangda Huzhang; Zhen-Jia Pang; Yongqing Gao; Yawen Liu; Weijie Shen; Wen-Ji Zhou; Qianying Lin; Qing Da; Anxiang Zeng; Han Yu 001; Yang Yu 001; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2023)