Zhaoxin Huan

According to our database, Zhaoxin Huan authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

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

CoRR, 2024

G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.

Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou

CoRR, 2024

2023

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems.

Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Chenliang Li

CoRR, 2023

Rethinking Memory and Communication Cost for Efficient Large Language Model Training.

Chan Wu, Hanxiao Zhang, Lin Ju, Jinjing Huang, Youshao Xiao, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou

CoRR, 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

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

G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.

Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou

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

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

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

Micro-Expression Recognition Using Micro-Variation Boosted Heat Areas.

Mingyue Zhang, Zhaoxin Huan, Lin Shang

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Data-Free Adversarial Perturbations for Practical Black-Box Attack.

Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2018

Model the Dynamic Evolution of Facial Expression from Image Sequences.

Zhaoxin Huan, Lin Shang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018