Xiang-Rong Sheng

According to our database, Xiang-Rong Sheng authored at least 26 papers between 2018 and 2026.

Collaborative distances:

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

2026

MAC: A Conversion Rate Prediction Benchmark Featuring Labels Under Multiple Attribution Mechanisms.

Jinqi Wu, Sishuo Chen, Zhangming Chan, Yong Bai, Lei Zhang, Sheng Chen, Chenghuan Hou, Xiang-Rong Sheng, Han Zhu, Jian Xu, Bo Zheng, Chaoyou Fu

CoRR, March, 2026

Fine-grained Semantics Integration for Large Language Model-based Recommendation.

Jiawei Feng, Xiaoyu Kong, Leheng Sheng, Bin Wu, Chao Yi, Feifang Yang, Xiang-Rong Sheng, Han Zhu, Xiang Wang, Jiancan Wu, Xiangnan He

CoRR, February, 2026

EST: Towards Efficient Scaling Laws in Click-Through Rate Prediction via Unified Modeling.

Mingyang Liu, Yong Bai, Zhangming Chan, Sishuo Chen, Xiang-Rong Sheng, Han Zhu, Jian Xu, Xinyang Chen

CoRR, February, 2026

Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions.

Mingxuan Luo, Guipeng Xv, Sishuo Chen, Xinyu Li, Li Zhang, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Bo Zheng, Chen Lin

CoRR, January, 2026

Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions.

Mingxuan Luo, Guipeng Xv, Sishuo Chen, Xinyu Li, Li Zhang, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Bo Zheng, Chen Lin

Proceedings of the ACM Web Conference 2026, 2026

Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches.

Xinyu Li, Sishuo Chen, Guipeng Xv, Li Zhang, Mingxuan Luo, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Chen Lin

Proceedings of the ACM Web Conference 2026, 2026

2025

MUSE: A Simple Yet Effective Multimodal Search-Based Framework for Lifelong User Interest Modeling.

Bin Wu, Feifan Yang, Zhangming Chan, Yu-Ran Gu, Jiawei Feng, Chao Yi, Xiang-Rong Sheng, Han Zhu, Jian Xu, Mang Ye, Bo Zheng

CoRR, December, 2025

AIF: Asynchronous Inference Framework for Cost-Effective Pre-Ranking.

Zhi Kou, Xiang-Rong Sheng, Shuguang Han, Zhishan Zhao, Yueyao Cheng, Han Zhu, Jian Xu, Bo Zheng

CoRR, November, 2025

See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction.

Sishuo Chen, Zhangming Chan, Xiang-Rong Sheng, Lei Zhang, Sheng Chen, Chenghuan Hou, Han Zhu, Jian Xu, Bo Zheng

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction.

Xiaoqiang Gui, Yueyao Cheng, Xiang-Rong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights.

Xiang-Rong Sheng, Feifan Yang, Litong Gong, Biao Wang, Zhangming Chan, Yujing Zhang, Yueyao Cheng, Yong-Nan Zhu, Tiezheng Ge, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach.

Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng

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

Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction.

Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu, Bo Zheng

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

2022

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models.

Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng

CoRR, 2022

CAN: Feature Co-Action Network for Click-Through Rate Prediction.

Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Yong-Nan Zhu, Zhangming Chan, Na Mou, Xinchen Luo, Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng

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

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models.

Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng

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

2021

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction.

Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Xiaoqiang Zhu

CoRR, 2021

Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling.

Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction.

Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach.

Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan

Mach. Learn., 2020

CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction.

Guorui Zhou, Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Na Mou, Xinchen Luo, Chi Zhang, Xianjie Qiao, Shiming Xiang, Kun Gai, Xiaoqiang Zhu, Jian Xu

CoRR, 2020

2019

Multi-View Anomaly Detection: Neighborhood in Locality Matters.

Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang

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

2018

Distance Metric Facilitated Transportation between Heterogeneous Domains.

Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan, Peng He

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Semi-Supervised Multi-Modal Learning with Incomplete Modalities.

Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018