2023
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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.
CIKM 2023, [PDF] -
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
Jingyue Gao*, Zhishan Zhao*, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng.
(* denotes equal contribution)
CIKM 2023, [PDF] -
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.
SIGKDD 2023 [PDF]
2021
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Learning Groupwise Explanations for Black-Box Models
Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie.
The 30th International Joint Conference on Artificial Intelligence, Online. IJCAI 2021 -
U-BERT: Pre-Training User Representations for Improved Recommendation
Zhaopeng Qiu, Xian Wu, Jingyue Gao, Wei Fan.
The 35th AAAI Conference on Artificial Intelligence, Online. AAAI 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.
The 29th ACM International Conference on Information and Knowledge Management, Online. CIKM 2020 [PDF][CODE]
2019
- Explainable Recommendation Through Attentive Multi-View Learning
Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie.
The 33rd AAAI Conference on Artificial Intelligence, Honolulu, USA. AAAI 2019 [PDF]
- STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints
Jingyue Gao*, Yuanduo He*, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu.
The 28th ACM International Conference on Information and Knowledge Management, Beijing, China. CIKM 2019
[PDF][CODE] (* denotes equal contribution)
- 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.
The 19th IEEE International Conference on Data Mining, Beijing, China. ICDM 2019 [PDF][CODE]
- MuLDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction
Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao.
The 28th International Joint Conference on Artificial Intelligence, Macao, China. IJCAI 2019 [PDF]
2018
- CAPED: Context-Aware Powerlet-Based Energy Disaggregation
Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao.
The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Australia. PAKDD 2018 [PDF]