Yong He - RankMe

37 papers A* 8A 10B 1Misc 1Journal 9Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. CoRR Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo
2026	J	`jnl`	Trie-Aware Transformers for Generative Recommendation. CoRR Zhenxiang Xu, Jiawei Chen, Sirui Chen, Yong He, Jieyu Yang, Chuan Yuan, Ke Ding, Can Wang
2025	J	`jnl`	CASIA-PR-V1: A Multi-Ethnic, Multi-Device and Cross-Spectral Dataset and a Multiscale Disentangled Model for Periocular Recognition. IEEE Trans. Multim. Wanting Zhou, Yiwei Ru, Yushan Han, Longteng Kong, Zijian Wang, Yong He, Zhenan Sun
2025	J	`jnl`	CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction. CoRR 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
2025	—	`conf`	Contrastive Scenario-Aware Meta Prompting for Multi-scenario Recommendation. DASFAA (6) Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He
2025	—	`conf`	EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models. WWW (Companion Volume) 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
2025	—	`conf`	Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models. WWW (Companion Volume) Xiyu Chang, Liang Zhang, Yong He, Binzong Geng, Ke Ding, Xing Zhu, Jian Cao, Linjian Mo
2024	—	`conf`	Aligned Side Information Fusion Method for Sequential Recommendation. WWW (Companion Volume) Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, Linjian Mo
2024	A*	`conf`	Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. SIGIR Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
2024	J	`jnl`	Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. CoRR Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
2024	A*	`conf`	Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 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
2024	A	`conf`	MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation. CIKM Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo
2024	A	`conf`	The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. CIKM Binbin Hu, Weifan Wang, Shuhan Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen
2024	J	`jnl`	The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. CoRR Binbin Hu, Weifan Wang, Hanshu Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen
2023	J	`jnl`	AntM CoRR 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
2023	A	`conf`	DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. CIKM Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo
2023	A*	`conf`	DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. SIGIR Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo
2023	J	`jnl`	GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. CoRR Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
2023	—	`conf`	Global-Aware Model-Free Self-distillation for Recommendation System. DASFAA (4) Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu
2023	A	`conf`	MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. CIKM Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo
2023	A*	`conf`	SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation. KDD Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou
2023	A	`conf`	SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. CIKM Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou
2023	A*	`conf`	Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. SIGIR Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min
2022	A*	`conf`	An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. SIGIR Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo
2022	A	`conf`	CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. CIKM Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo
2022	A	`conf`	GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. CIKM Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
2022	A	`conf`	GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. CIKM Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo
2022	A	`conf`	MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning. CIKM Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
2022	—	`conf`	Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. PRICAI (3) Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou
2022	A	`conf`	Task Similarity Aware Meta Learning for Cold-Start Recommendation. CIKM Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo
2021	A*	`conf`	Learning to Select Instance: Simultaneous Transfer Learning and Clustering. SIGIR Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo
2021	A*	`conf`	MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. SIGIR Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo
2020	Misc	`conf`	A Lightweight Multi-Label Segmentation Network for Mobile Iris Biometrics. ICASSP Caiyong Wang, Yunlong Wang, Boqiang Xu, Yong He, Zhiwei Dong, Zhenan Sun
2020	B	`conf`	SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment. IJCB 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
2019	J	`jnl`	Robust feature screening for elliptical copula regression model. J. Multivar. Anal. Yong He, Liang Zhang, Jiadong Ji, Xinsheng Zhang
2019	—	`conf`	Sclera Segmentation Benchmarking Competition in Cross-resolution Environment. ICB Abhijit Das, Umapada Pal, Michael Blumenstein, Caiyong Wang, Yong He, Yuhao Zhu, Zhenan Sun
2019	—	`conf`	ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation. ICB Caiyong Wang, Yong He, Yunfan Liu, Zhaofeng He, Ran He, Zhenan Sun