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2020 – today
- 2023
[j3]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:
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. IEEE Trans. Knowl. Data Eng. 35(2): 1214-1226 (2023)- 2022
- [c20]Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang:
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. CIKM 2022: 3312-3321 - [c19]Zeng Zeng, Shenghao Zhao, Qing Da, Peisheng Qian, Tam Wai Leong, Lingyun Dai, Pär Nordlund, Nayana Prabhu, Ziyuan Zhao, Xulei Yang:
CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines. EMBC 2022: 1647-1650 - [c18]Xulei Yang, Qing Da, Peisheng Qian, Bharadwaj Veeravalli, Tam Wai Leong, Lingyun Dai, Pär Nordlund, Nayana Prabhu, Ziyuan Zhao, Zeng Zeng:
CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction. EMBC 2022: 1659-1662 - [c17]Wenya Zhu, Yinghua Zhang, Yu Zhang, Yu-Hang Zhou, Yinfu Feng, Yuxiang Wu, Qing Da, Anxiang Zeng:
DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce. PAKDD (3) 2022: 275-287 - [c16]Wenya Zhu, Xiaoyu Lv, Baosong Yang, Yinghua Zhang, Xu Yong, Linlong Xu, Yinfu Feng, Haibo Zhang, Qing Da, Anxiang Zeng, Ronghua Chen:
Cross-Lingual Product Retrieval in E-Commerce Search. PAKDD (2) 2022: 458-471 - [c15]Shiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, Lijun Zhang:
Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization. WSDM 2022: 618-627 - [c14]Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da:
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce. WSDM 2022: 1036-1044 - [i12]Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang:
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. CoRR abs/2208.04022 (2022) - 2021
- [j2]Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Yang Yu, Jingren Zhou, Chunyan Miao:
Improving Search Engine Efficiency through Contextual Factor Selection. AI Mag. 42(2): 50-58 (2021) - [c13]Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, Anxiang Zeng:
A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments. AAAI 2021: 11160-11167 - [i11]Junmei Hao, Jingcheng Shi, Qing Da, Anxiang Zeng, Yujie Dun, Xueming Qian, Qianying Lin:
Diversity Regularized Interests Modeling for Recommender Systems. CoRR abs/2103.12404 (2021) - [i10]Yongqing Gao, Guangda Huzhang, Weijie Shen, Yawen Liu, Wen-Ji Zhou, Qing Da, Dan Shen, Yang Yu:
Imitate TheWorld: A Search Engine Simulation Platform. CoRR abs/2107.07693 (2021) - [i9]Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da, Dan Shen:
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce. CoRR abs/2107.08598 (2021) - [i8]Chenlin Shen, Guangda Huzhang, Yu-Hang Zhou, Chen Liang, Qing Da:
A General Traffic Shaping Protocol in E-Commerce. CoRR abs/2112.14941 (2021) - 2020
- [c12]Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Chunyan Miao:
Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection. AAAI 2020: 13212-13219 - [c11]Pengcheng Li, Runze Li, Qing Da, Anxiang Zeng, Lijun Zhang:
Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space. CIKM 2020: 2605-2612 - [i7]Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Wen-Ji Zhou, Qing Da, Anxiang Zeng, Yang Yu:
Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce. CoRR abs/2003.11941 (2020) - [i6]Yanshi Wang, Jie Zhang, Qing Da, Anxiang Zeng:
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction. CoRR abs/2011.11826 (2020)
2010 – 2019
- 2019
- [c10]Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang:
Policy Optimization with Model-Based Explorations. AAAI 2019: 4675-4682 - [c9]Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng:
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning. AAAI 2019: 4902-4909 - 2018
- [j1]Yang Yu, Shi-Yong Chen, Qing Da, Zhi-Hua Zhou:
Reusable Reinforcement Learning via Shallow Trails. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2204-2215 (2018) - [c8]Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu:
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. KDD 2018: 368-377 - [c7]Shi-Yong Chen, Yang Yu, Qing Da, Jun Tan, Hai-Kuan Huang, Hai-Hong Tang:
Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation. KDD 2018: 1187-1196 - [c6]Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
SPEEDING Up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN. ECML/PKDD (3) 2018: 105-119 - [c5]Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
Speeding up the Metabolism in e-Commerce by Reinforcement Mechanism Design. eCOM@SIGIR 2018 - [i5]Yusen Zhan, Qing Da, Fei Xiao, Anxiang Zeng, Yang Yu:
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection. CoRR abs/1803.00693 (2018) - [i4]Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu:
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. CoRR abs/1803.00710 (2018) - [i3]Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng:
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning. CoRR abs/1805.10000 (2018) - [i2]Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
Speeding up the Metabolism in E-commerce by Reinforcement Mechanism Design. CoRR abs/1807.00448 (2018) - [i1]Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang:
Policy Optimization with Model-based Explorations. CoRR abs/1811.07350 (2018) - 2016
- [c4]Yang Yu, Peng-Fei Hou, Qing Da, Yu Qian:
Boosting Nonparametric Policies. AAMAS 2016: 477-484 - 2014
- [c3]Qing Da, Yang Yu, Zhi-Hua Zhou:
Learning with Augmented Class by Exploiting Unlabeled Data. AAAI 2014: 1760-1766 - [c2]Qing Da, Yang Yu, Zhi-Hua Zhou:
Napping for functional representation of policy. AAMAS 2014: 189-196 - 2013
- [c1]Qing Da, Yang Yu, Zhi-Hua Zhou:
Self-Practice Imitation Learning from Weak Policy. PSL 2013: 9-20
Coauthor Index
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