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Yong He 0009
Person information
- affiliation: Ant Group, Hangzhou, China
Other persons with the same name
- Yong He — disambiguation page
- Yong He 0001 — Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China
- Yong He 0002 — Beijing Normal University, State Key Lab of Cognitive Neuroscience & Learning, Beijing, China
- Yong He 0003 — China University of Geosciences, School of Automation, Wuhan, China (and 1 more)
- Yong He 0004 — Southeast University, School of Economics and Management, Nanjing, China
- Yong He 0005 — Zhejiang University, College of Mechanical Engineering, China
- Yong He 0006 — Chongqing University of Science and Technology, Department of Mathematics and Physics, China
- Yong He 0007 — Sichuan Research Institute for Ecosystem Restoration & Geohazard Prevention, Chengdu, China
- Yong He 0008 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China (and 1 more)
- Yong He 0010 — China Agricultural University, Beijing, China (and 1 more)
- Yong He 0011 — Southeast University, School of Transportation, Nanjing, China
- Yong He 0012 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Yong He 0013 — Carnegie Mellon University, Pittsburgh, PA, USA
- Yong He 0014 — Zhejiang University, Department of Mathematics, State Key Lab of CAD & CG, Hangzhou, China
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2020 – today
- 2024
- [c21]Binbin Hu, Weifan Wang, Shuhan Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen:
The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. CIKM 2024: 880-889 - [c20]Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo:
MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation. CIKM 2024: 3063-3072 - [c19]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:
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 2024: 1232-1241 - [c18]Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo:
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. SIGIR 2024: 2311-2315 - [c17]Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, Linjian Mo:
Aligned Side Information Fusion Method for Sequential Recommendation. WWW (Companion Volume) 2024: 112-120 - [i4]Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo:
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. CoRR abs/2403.19347 (2024) - [i3]Binbin Hu, Weifan Wang, Hanshu Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen:
The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. CoRR abs/2409.19574 (2024) - 2023
- [c16]Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo:
MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. CIKM 2023: 3803-3807 - [c15]Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou:
SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. CIKM 2023: 4205-4209 - [c14]Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo:
DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. CIKM 2023: 4279-4283 - [c13]Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu:
Global-Aware Model-Free Self-distillation for Recommendation System. DASFAA (4) 2023: 515-518 - [c12]Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou:
SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation. KDD 2023: 4175-4184 - [c11]Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min:
Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. SIGIR 2023: 2471-2475 - [c10]Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo:
DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. SIGIR 2023: 3369-3373 - [i2]Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo:
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. CoRR abs/2301.13465 (2023) - [i1]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:
AntM2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. CoRR abs/2308.16437 (2023) - 2022
- [c9]Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo:
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. CIKM 2022: 386-395 - [c8]Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo:
CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. CIKM 2022: 3883-3887 - [c7]Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo:
GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. CIKM 2022: 3918-3922 - [c6]Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo:
MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning. CIKM 2022: 3923-3927 - [c5]Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo:
Task Similarity Aware Meta Learning for Cold-Start Recommendation. CIKM 2022: 4630-4634 - [c4]Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou:
Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. PRICAI (3) 2022: 3-16 - [c3]Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo:
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. SIGIR 2022: 3403-3407 - 2021
- [c2]Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo:
Learning to Select Instance: Simultaneous Transfer Learning and Clustering. SIGIR 2021: 1950-1954 - [c1]Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo:
MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. SIGIR 2021: 2237-2241
2010 – 2019
- 2019
- [j1]Yong He, Liang Zhang, Jiadong Ji, Xinsheng Zhang:
Robust feature screening for elliptical copula regression model. J. Multivar. Anal. 173: 568-582 (2019)
Coauthor Index
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last updated on 2025-01-20 22:54 CET by the dblp team
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