Jingyue Gao

According to our database, Jingyue Gao authored at least 16 papers between 2017 and 2023.

Collaborative distances:

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

2023

Decentralized Motor Skill Learning for Complex Robotic Systems.

Yanjiang Guo, Zheyuan Jiang, Yen-Jen Wang, Jingyue Gao, Jianyu Chen

IEEE Robotics Autom. Lett., September, 2023

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model.

Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

COPR: Consistency-Oriented Pre-Ranking for Online Advertising.

Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao.

Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Unsupervised Skill Discovery via Recurrent Skill Training.

Zheyuan Jiang, Jingyue Gao, Jianyu Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward.

Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen

Proceedings of the Conference on Robot Learning, 2022

2021

Learning Groupwise Explanations for Black-Box Models.

Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

U-BERT: Pre-training User Representations for Improved Recommendation.

Zhaopeng Qiu, Xian Wu, Jingyue Gao, Wei Fan

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

2020

Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation.

Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu

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

2019

MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction.

Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare.

Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints.

Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Explainable Recommendation through Attentive Multi-View Learning.

Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie

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

2018

Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions.

Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang

CoRR, 2018

CAPED: Context-Aware Powerlet-Based Energy Disaggregation.

Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

Motif-based Rule Discovery for Predicting Real-valued Time Series.

Yuanduo He, Xu Chu, Juguang Peng, Jingyue Gao, Yasha Wang

CoRR, 2017