Yong He

According to our database, Yong He authored at least 31 papers between 2019 and 2025.

Collaborative distances:

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

2025

CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction.

Zixuan Li, Binzong Geng, Jing Xiong, Yong He, Yuxuan Hu, Jian Chen, Dingwei Chen, Xiyu Chang, Liang Zhang, Linjian Mo, Chengming Li, Chuan Yuan, Zhenan Sun

CoRR, August, 2025

EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models.

Zhaorui Lian, Binzong Geng, Xiyu Chang, Yu Zhang, Ke Ding, Ziyu Lyu, Guanghu Yuan, Chengming Li, Min Yang, Zhaoxin Huan, Bin Shen, Yong He, Linjian Mo, Liang Zhang, Xing Zhu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models.

Xiyu Chang, Liang Zhang, Yong He, Binzong Geng, Ke Ding, Xing Zhu, Jian Cao, Linjian Mo

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective.

Binbin Hu, Weifan Wang, Hanshu Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen

CoRR, 2024

Aligned Side Information Fusion Method for Sequential Recommendation.

Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, Linjian Mo

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.

Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.

Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation.

Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo

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

The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective.

Binbin Hu, Weifan Wang, Shuhan Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen

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

2023

AntM²C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction.

Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang

CoRR, 2023

DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation.

Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System.

Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation.

Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou

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

Global-Aware Model-Free Self-distillation for Recommendation System.

Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu

Proceedings of the Database Systems for Advanced Applications, 2023

DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction.

Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo

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

SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation.

Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou

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

MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation.

Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo

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

2022

An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.

Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation.

Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Task Similarity Aware Meta Learning for Cold-Start Recommendation.

Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo

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

MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning.

Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo

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

GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning.

Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo

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

GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems.

Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo

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

CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention.

Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo

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

2021

Learning to Select Instance: Simultaneous Transfer Learning and Clustering.

Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo

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

MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning.

Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo

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

2020

SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment.

Matej Vitek, Abhijit Das, Yann Pourcenoux, Alexandre Missler, C. Paumier, Sumanta Das, Ishita De Ghosh, Diego Rafael Lucio, Luiz Antonio Zanlorensi, David Menotti, Fadi Boutros, Naser Damer, Jonas Henry Grebe, Arjan Kuijper, Junxing Hu, Yong He, Caiyong Wang, H. Liu, Yunlong Wang, Zhenan Sun, Dailé Osorio Roig, Christian Rathgeb, Christoph Busch, Juan E. Tapia, Andres Valenzuela, Georgios Zampoukis, Lazaros T. Tsochatzidis, Ioannis Pratikakis, Sabari Nathan, Ramamoorthy Suganya, Vineet Mehta, Abhinav Dhall, Kiran B. Raja, Gourav Gupta, Jalil Nourmohammadi-Khiarak, Mohsen Akbari-Shahper, Farhang Jaryani, Meysam Asgari-Chenaghlu, Ritesh Vyas, Sristi Dakshit, Peter Peer, Umapada Pal, Vitomir Struc

Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

A Lightweight Multi-Label Segmentation Network for Mobile Iris Biometrics.

Caiyong Wang, Yunlong Wang, Boqiang Xu, Yong He, Zhiwei Dong, Zhenan Sun

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Robust feature screening for elliptical copula regression model.

Yong He, Liang Zhang, Jiadong Ji, Xinsheng Zhang

J. Multivar. Anal., 2019

ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation.

Caiyong Wang, Yong He, Yunfan Liu, Zhaofeng He, Ran He, Zhenan Sun

Proceedings of the 2019 International Conference on Biometrics, 2019

Sclera Segmentation Benchmarking Competition in Cross-resolution Environment.

Abhijit Das, Umapada Pal, Michael Blumenstein, Caiyong Wang, Yong He, Yuhao Zhu, Zhenan Sun

Proceedings of the 2019 International Conference on Biometrics, 2019