Lei Xiao

According to our database, Lei Xiao authored at least 20 papers between 2012 and 2026.

Collaborative distances:

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

2026

SIREN: Unified Multi-Granularity Semantic Interaction for Multi-Modal Lifelong User Interest Modeling.

Yaqian Zhang, Ruyi Yu, Tianyi Li, Bohan Liu, Maoquan Ye, Ke Wang, Shifeng Wen, Junwei Pan, Lijie Wang, Qi Zhou, Yeshou Cai, Chengguo Yin, Lifeng Wang, Hui Li, Lei Xiao, Haijie Gu

CoRR, May, 2026

FEDIN: Frequency-Enhanced Deep Interest Network for Click-Through Rate Prediction.

Zenan Dai, Jinpeng Wang, Junwei Pan, Dapeng Liu, Lei Xiao, Shu-Tao Xia

CoRR, May, 2026

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation.

Junwei Pan, Wei Xue, Chao Zhou, Xing Zhou, Lunan Fan, Yanbo Wang, Haoran Xin, Zhiyu Hu, Yaozheng Wang, Fengye Xu, Yurong Yang, Xiaotian Li, Junbang Huo, Wentao Ning, Yuliang Sun, Chengguo Yin, Jun Zhang, Shudong Huang, Lei Xiao, Huan Yu, Irwin King, Haijie Gu, Jie Jiang

CoRR, April, 2026

2025

Large Foundation Model for Ads Recommendation.

Shangyu Zhang, Shijie Quan, Zhongren Wang, Junwei Pan, Tianqu Zhuang, Bo Fu, Yilong Sun, Jieying Lin, Jushuo Chen, Xiaotian Li, Zhixiang Feng, Xian Hu, Huiting Deng, Hua Lu, Jinpeng Wang, Boqi Dai, Xiaoyu Chen, Bin Hu, Lili Huang, Yanwen Wu, Yeshou Cai, Qi Zhou, Huang Tang, Chunfeng Yang, Chengguo Yin, Tingyu Jiang, Lifeng Wang, Shudong Huang, Dapeng Liu, Lei Xiao, Haijie Gu, Shu-Tao Xia, Jie Jiang

CoRR, August, 2025

Towards Unifying Feature Interaction Models for Click-Through Rate Prediction.

Yu Kang, Junwei Pan, Jipeng Jin, Shudong Huang, Xiaofeng Gao, Lei Xiao

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation.

Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Dapeng Liu, Lei Xiao

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

2024

Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation.

Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Lei Xiao, Jie Jiang

CoRR, 2024

Ad Recommendation in a Collapsed and Entangled World.

Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang

CoRR, 2024

Ads Recommendation in a Collapsed and Entangled World.

Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Understanding the Ranking Loss for Recommendation with Sparse User Feedback.

Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DeepMIN: Deep Multi-modal Interest Network with Cognitive Learning Modules.

Zhaoxiang Zhang, Zhiheng Li, Jipeng Jin, Xiaofeng Gao, Xiongwen Yang, Bo Zhang, Lei Xiao

Proceedings of the Database Systems for Advanced Applications, 2024

Pareto-based Multi-Objective Recommender System with Forgetting Curve.

Jipeng Jin, Zhaoxiang Zhang, Zhiheng Li, Xiaofeng Gao, Xiongwen Yang, Lei Xiao, Jie Jiang

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

2023

Pareto-based Multi-Objective Recommender System with Forgetting Curve.

Jipeng Jin, Zhaoxiang Zhang, Zhiheng Li, Xiaofeng Gao, Xiongwei Yang, Lei Xiao, Jie Jiang

CoRR, 2023

SCRIPT: Sequential Cross-Meta-Information Recommendation in Pretrain and Prompt Paradigm.

Xinyi Zhou, Jipeng Jin, Li Ma, Xiaofeng Gao, Jianbo Yang, Xiongwen Yang, Lei Xiao

Proceedings of the IEEE International Conference on Data Mining, 2023

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning.

Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising.

Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He

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

2021

Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback.

Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions.

Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2015

Image Feature Learning for Cold Start Problem in Display Advertising.

Kaixiang Mo, Bo Liu, Lei Xiao, Yong Li, Jie Jiang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2012

ComSoc: adaptive transfer of user behaviors over composite social network.

Erheng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong Li

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012