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2020 – today
- 2024
[c16]Zuoli Tang
, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li:
TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference. CIKM 2024: 2240-2249- [c15]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: 5238-5251 - [c14]Chenchen Li, Linfeng Shi, Chunyi Zhou, Zhaoxin Huan, Chengfu Tang, Xiaolu Zhang, Xudong Wang, Jun Zhou, Song Liu:
A Merge Sort Based Ranking System for the Evaluation of Large Language Models. ECML/PKDD (9) 2024: 240-255 - [c13]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 - [c12]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 - [c11]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: 103-111 - [i7]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 abs/2401.04338 (2024) - [i6]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) - [i5]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 abs/2404.09679 (2024) - 2023
- [c10]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: 4365-4369 - [c9]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 - [c8]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 - [i4]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) - [i3]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 abs/2310.06003 (2023) - [i2]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 abs/2310.14304 (2023) - 2022
- [c7]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 - [c6]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
- [c5]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 - [c4]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 - 2020
- [c3]Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. PAKDD (2) 2020: 127-138 - [c2]Mingyue Zhang, Zhaoxin Huan, Lin Shang:
Micro-Expression Recognition Using Micro-Variation Boosted Heat Areas. PRCV (2) 2020: 531-543 - [i1]Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. CoRR abs/2003.01295 (2020)
2010 – 2019
- 2018
- [c1]Zhaoxin Huan, Lin Shang:
Model the Dynamic Evolution of Facial Expression from Image Sequences. PAKDD (2) 2018: 546-557
Coauthor Index
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