Zhaoxin Huan - RankMe

32 papers A* 9A 3Journal 13Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ReportLogic: Evaluating Logical Quality in Deep Research Reports. CoRR Jujia Zhao, Zhaoxin Huan, Zihan Wang, Xiaolu Zhang, Jun Zhou, Suzan Verberne, Zhaochun Ren
2025	—	`conf`	BOSE: A Systematic Evaluation Method Optimized for Base Models. ACL (Findings) Hongzhi Luan, Changxin Tian, Zhaoxin Huan, Xiaolu Zhang, Kunlong Chen, Zhiqiang Zhang, Jun Zhou
2025	—	`conf`	EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models. WWW (Companion Volume) 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
2025	J	`jnl`	Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs. CoRR Ling Team, Binwei Zeng, Chao Huang, Chao Zhang, Changxin Tian, Cong Chen, Dingnan Jin, Feng Yu, Feng Zhu, Feng Yuan, Fakang Wang, Gangshan Wang, Guangyao Zhai, Haitao Zhang, Huizhong Li, Jun Zhou, Jia Liu, Junpeng Fang, Junjie Ou, Jun Hu, Ji Luo, Ji Zhang, Jian Liu, Jian Sha, Jianxue Qian, Jiewei Wu, Junping Zhao, Jianguo Li, Jubao Feng, Jingchao Di, Junming Xu, Jinghua Yao, Kuan Xu, Kewei Du, Longfei Li, Lei Liang, Lu Yu, Li Tang, Lin Ju, Peng Xu, Qing Cui, Song Liu, Shicheng Li, Shun Song, Song Yan, Tengwei Cai, Tianyi Chen, Ting Guo, Ting Huang, Tao Feng, Tao Wu, Wei Wu, Xiaolu Zhang, Xueming Yang, Xin Zhao, Xiaobo Hu, Xin Lin, Yao Zhao, Yilong Wang, Yongzhen Guo, Yuanyuan Wang, Yue Yang, Yang Cao, Yuhao Fu, Yi Xiong, Yanzhe Li, Zhe Li, Zhiqiang Zhang, Ziqi Liu, Zhaoxin Huan, Zujie Wen, Zhenhang Sun, Zhuoxuan Du, Zhengyu He
2025	J	`jnl`	HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation. ACM Trans. Inf. Syst. Shirui Hu, Weichang Wu, Zuoli Tang, Zhaoxin Huan, Lin Wang, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li
2025	J	`jnl`	One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems. ACM Trans. Inf. Syst. Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Lixin Zou, Chenliang Li
2025	J	`jnl`	Short-Path Prompting in LLMs: Analyzing Reasoning Instability and Solutions for Robust Performance. CoRR Zuoli Tang, Junjie Ou, Kaiqin Hu, Chunwei Wu, Zhaoxin Huan, Chilin Fu, Xiaolu Zhang, Jun Zhou, Chenliang Li
2025	J	`jnl`	Toward Stable and Consistent Evaluation Results: A New Methodology for Base Model Evaluation. CoRR Hongzhi Luan, Changxin Tian, Zhaoxin Huan, Xiaolu Zhang, Kunlong Chen, Zhiqiang Zhang, Jun Zhou
2024	—	`conf`	A Merge Sort Based Ranking System for the Evaluation of Large Language Models. ECML/PKDD (9) Chenchen Li, Linfeng Shi, Chunyi Zhou, Zhaoxin Huan, Chengfu Tang, Xiaolu Zhang, Xudong Wang, Jun Zhou, Song Liu
2024	A*	`conf`	AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. ICDE Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou
2024	J	`jnl`	AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. CoRR Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou
2024	A*	`conf`	Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. SIGIR Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
2024	J	`jnl`	Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. CoRR Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
2024	—	`conf`	Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning. WWW (Companion Volume) Jun Hu, Wenwen Xia, Xiaolu Zhang, Chilin Fu, Weichang Wu, Zhaoxin Huan, Ang Li, Zuoli Tang, Jun Zhou
2024	A*	`conf`	Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 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
2024	J	`jnl`	G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CoRR Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou
2024	A*	`conf`	Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models. NeurIPS Hanxiao Zhang, Lin Ju, Chan Wu, Jinjing Huang, Youshao Xiao, Zhenglei Zhou, Zhiming Fan, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou
2024	A	`conf`	TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference. CIKM Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li
2023	J	`jnl`	AntM CoRR 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
2023	A*	`conf`	DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. SIGIR Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo
2023	A	`conf`	G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CIKM Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou
2023	J	`jnl`	One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems. CoRR Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Chenliang Li
2023	J	`jnl`	Rethinking Memory and Communication Cost for Efficient Large Language Model Training. CoRR Chan Wu, Hanxiao Zhang, Lin Ju, Jinjing Huang, Youshao Xiao, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou
2023	A*	`conf`	SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation. KDD Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou
2022	A*	`conf`	An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. SIGIR Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo
2022	A	`conf`	Task Similarity Aware Meta Learning for Cold-Start Recommendation. CIKM Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo
2021	A*	`conf`	Learning to Select Instance: Simultaneous Transfer Learning and Clustering. SIGIR Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo
2021	A*	`conf`	MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. SIGIR Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo
2020	—	`conf`	Data-Free Adversarial Perturbations for Practical Black-Box Attack. PAKDD (2) Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou
2020	J	`jnl`	Data-Free Adversarial Perturbations for Practical Black-Box Attack. CoRR Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou
2020	—	`conf`	Micro-Expression Recognition Using Micro-Variation Boosted Heat Areas. PRCV (2) Mingyue Zhang, Zhaoxin Huan, Lin Shang
2018	—	`conf`	Model the Dynamic Evolution of Facial Expression from Image Sequences. PAKDD (2) Zhaoxin Huan, Lin Shang