Zhaoxin Huan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Graph Transduction

User Behavior Patterns

Fusing Multiple

Top Venues

Publications

Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou
AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. CoRR (2024)
Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CoRR (2024)
Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou
AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. ICDE (2024)
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 (2024)
Jun Hu, Wenwen Xia, Xiaolu Zhang, Chilin Fu, Weichang Wu, Zhaoxin Huan, Ang Li, Zuoli Tang, Jun Zhou
Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning. WWW (Companion Volume) (2024)
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)
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)
Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CIKM (2023)
Chan Wu, Hanxiao Zhang, Lin Ju, Jinjing Huang, Youshao Xiao, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou
Rethinking Memory and Communication Cost for Efficient Large Language Model Training. CoRR (2023)
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)
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
C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. CoRR (2023)
Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Chenliang Li
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems. CoRR (2023)
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)
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)
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)
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)
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)
Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou
Data-Free Adversarial Perturbations for Practical Black-Box Attack. CoRR (2020)
Mingyue Zhang, Zhaoxin Huan, Lin Shang
Micro-Expression Recognition Using Micro-Variation Boosted Heat Areas. PRCV (2) (2020)
Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou
Data-Free Adversarial Perturbations for Practical Black-Box Attack. PAKDD (2) (2020)
Zhaoxin Huan, Lin Shang
Model the Dynamic Evolution of Facial Expression from Image Sequences. PAKDD (2) (2018)