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2020 – today
- 2023
[j1]Yanjiang Guo
, Zheyuan Jiang, Yen-Jen Wang, Jingyue Gao, Jianyu Chen:
Decentralized Motor Skill Learning for Complex Robotic Systems. IEEE Robotics Autom. Lett. 8(9): 5791-5798 (2023)- [c13]Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng:
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. CIKM 2023: 4574-4580 - [c12]Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
COPR: Consistency-Oriented Pre-Ranking for Online Advertising. CIKM 2023: 4974-4980 - [c11]Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng:
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. KDD 2023: 4813-4822 - [i7]Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
COPR: Consistency-Oriented Pre-Ranking for Online Advertising. CoRR abs/2306.03516 (2023) - [i6]Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng:
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. CoRR abs/2306.03527 (2023) - [i5]Yanjiang Guo, Zheyuan Jiang, Yen-Jen Wang, Jingyue Gao, Jianyu Chen:
Decentralized Motor Skill Learning for Complex Robotic Systems. CoRR abs/2306.17411 (2023) - 2022
- [c10]Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen:
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward. CoRL 2022: 1146-1156 - [c9]Zheyuan Jiang, Jingyue Gao, Jianyu Chen:
Unsupervised Skill Discovery via Recurrent Skill Training. NeurIPS 2022 - [i4]Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng:
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. CoRR abs/2208.06164 (2022) - [i3]Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen:
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward. CoRR abs/2212.01509 (2022) - 2021
- [c8]Zhaopeng Qiu, Xian Wu, Jingyue Gao, Wei Fan:
U-BERT: Pre-training User Representations for Improved Recommendation. AAAI 2021: 4320-4327 - [c7]Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie:
Learning Groupwise Explanations for Black-Box Models. IJCAI 2021: 2396-2402 - 2020
- [c6]Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu:
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. CIKM 2020: 395-404
2010 – 2019
- 2019
- [c5]Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie:
Explainable Recommendation through Attentive Multi-View Learning. AAAI 2019: 3622-3629 - [c4]Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu:
STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. CIKM 2019: 1903-1912 - [c3]Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie:
CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare. ICDM 2019: 1036-1041 - [c2]Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao:
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction. IJCAI 2019: 4518-4524 - 2018
- [c1]Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao:
CAPED: Context-Aware Powerlet-Based Energy Disaggregation. PAKDD (1) 2018: 236-247 - [i2]Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang:
Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions. CoRR abs/1811.00208 (2018) - 2017
- [i1]Yuanduo He, Xu Chu, Juguang Peng, Jingyue Gao, Yasha Wang:
Motif-based Rule Discovery for Predicting Real-valued Time Series. CoRR abs/1709.04763 (2017)
Coauthor Index
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