Qing Da

According to our database, Qing Da authored at least 29 papers between 2013 and 2023.

Collaborative distances:

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

2023

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, Yang Yu, Zhi-Hua Zhou

IEEE Trans. Knowl. Data Eng., 2023

2022

Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce.

Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da

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

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

DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce.

Wenya Zhu, Yinghua Zhang, Yu Zhang, Yu-Hang Zhou, Yinfu Feng, Yuxiang Wu, Qing Da, Anxiang Zeng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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, Qing Da, Anxiang Zeng, Ronghua Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A General Traffic Shaping Protocol in E-Commerce.

Chenlin Shen, Guangda Huzhang, Yu-Hang Zhou, Chen Liang, Qing Da

CoRR, 2021

Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce.

Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da, Dan Shen

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

CoRR, 2021

Diversity Regularized Interests Modeling for Recommender Systems.

Junmei Hao, Jingcheng Shi, Qing Da, Anxiang Zeng, Yujie Dun, Xueming Qian, Qianying Lin

CoRR, 2021

Improving Search Engine Efficiency through Contextual Factor Selection.

Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Yang Yu, Jingren Zhou, Chunyan Miao

AI Mag., 2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction.

Yanshi Wang, Jie Zhang, Qing Da, Anxiang Zeng

CoRR, 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

CoRR, 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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection.

Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Chunyan Miao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning.

Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Policy Optimization with Model-Based Explorations.

Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Reusable Reinforcement Learning via Shallow Trails.

Yang Yu, Shi-Yong Chen, Qing Da, Zhi-Hua Zhou

IEEE Trans. Neural Networks Learn. Syst., 2018

Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection.

Yusen Zhan, Qing Da, Fei Xiao, Anxiang Zeng, Yang Yu

CoRR, 2018

SPEEDING Up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN.

Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application.

Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation.

Shi-Yong Chen, Yang Yu, Qing Da, Jun Tan, Hai-Kuan Huang, Hai-Hong Tang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2016

Boosting Nonparametric Policies.

Yang Yu, Peng-Fei Hou, Qing Da, Yu Qian

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2014

Napping for functional representation of policy.

Qing Da, Yang Yu, Zhi-Hua Zhou

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Learning with Augmented Class by Exploiting Unlabeled Data.

Qing Da, Yang Yu, Zhi-Hua Zhou

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Self-Practice Imitation Learning from Weak Policy.

Qing Da, Yang Yu, Zhi-Hua Zhou

Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013