Zhaoxin Huan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
7
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | ReportLogic: Evaluating Logical Quality in Deep Research Reports. | Jujia Zhao, Zhaoxin Huan, Zihan Wang, Xiaolu Zhang, Jun Zhou, Suzan Verberne, Zhaochun Ren |
| 2025 | ACL | BOSE: A Systematic Evaluation Method Optimized for Base Models. | Hongzhi Luan, Changxin Tian, Zhaoxin Huan, Xiaolu Zhang, Kunlong Chen, Zhiqiang Zhang, Jun Zhou |
| 2025 | WWW | EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models. | 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 |
| 2024 | CIKM | TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference. | Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li |
| 2024 | ICDE | AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. | Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou |
| 2024 | WWW | Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning. | Jun Hu, Wenwen Xia, Xiaolu Zhang, Chilin Fu, Weichang Wu, Zhaoxin Huan, Ang Li, Zuoli Tang, Jun Zhou |
| 2024 | SIGIR | 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 |
| 2024 | SIGIR | Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. | 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 |
| 2023 | CIKM | 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 |
| 2023 | KDD | SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation. | Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou |
| 2023 | SIGIR | 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 |
| 2022 | CIKM | 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 |
| 2022 | SIGIR | 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 |
| 2021 | SIGIR | 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 |
| 2021 | SIGIR | 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 |
| 2020 | PAKDD | Data-Free Adversarial Perturbations for Practical Black-Box Attack. | Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou |
| 2018 | PAKDD | Model the Dynamic Evolution of Facial Expression from Image Sequences. | Zhaoxin Huan, Lin Shang |