Graph metric with no proper inclusion between lines. - Xiaomin Chen; Guangda Huzhang; Peihan Miao 001; Kuan Yang 001 (Discret. Appl. Math., 2015)

Lines, Betweenness and Metric Spaces. - Pierre Aboulker; Xiaomin Chen; Guangda Huzhang; Rohan Kapadia; Cathryn Supko (Discret. Comput. Geom., 2016)

Cake Cutting: Envy and Truth. - Xiaohui Bei; Ning Chen 005; Guangda Huzhang; Biaoshuai Tao; Jiajun Wu 003 (IJCAI, 2017)

Online Roommate Allocation Problem. - Guangda Huzhang; Xin Huang; Shengyu Zhang 002; Xiaohui Bei (IJCAI, 2017)

Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce. - Guangda Huzhang; Zhen-Jia Pang; Yongqing Gao; Wen-Ji Zhou; Qing Da; Anxiang Zeng; Yang Yu 001 (CoRR, 2020)

Truthful fair division without free disposal. - Xiaohui Bei; Guangda Huzhang; Warut Suksompong (Soc. Choice Welf., 2020)

A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments. - Yu-Hang Zhou; Peng Hu; Chen Liang; Huan Xu; Guangda Huzhang; Yinfu Feng; Qing Da; Xinshang Wang; Anxiang Zeng (AAAI, 2021)

Imitate TheWorld: A Search Engine Simulation Platform. - Yongqing Gao; Guangda Huzhang; Weijie Shen; Yawen Liu; Wen-Ji Zhou; Qing Da; Dan Shen; Yang Yu 001 (CoRR, 2021)

Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce. - Xuesi Wang; Guangda Huzhang; Qianying Lin; Qing Da; Dan Shen (CoRR, 2021)

Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System. - Qi Hao; Tianze Luo; Guangda Huzhang (CoRR, 2021)

A General Traffic Shaping Protocol in E-Commerce. - Chenlin Shen; Guangda Huzhang; Yu-Hang Zhou; Chen Liang; Qing Da (CoRR, 2021)

Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce. - Xuesi Wang; Guangda Huzhang; Qianying Lin; Qing Da (WSDM, 2022)

Exploit Customer Life-time Value with Memoryless Experiments. - Zizhao Zhang; Yifei Zhao; Guangda Huzhang (CoRR, 2022)

Recurrent Temporal Revision Graph Networks. - Yizhou Chen; Anxiang Zeng; Qingtao Yu; Kerui Zhang; Yuanpeng Cao; Kangle Wu; Guangda Huzhang; Han Yu 001; Zhiming Zhou 002 (NeurIPS, 2023)

Clustered Embedding Learning for Recommender Systems. - Yizhou Chen; Guangda Huzhang; Anxiang Zeng; Qingtao Yu; Hui Sun 003; Heng-Yi Li; Jingyi Li; Yabo Ni; Han Yu 001; Zhiming Zhou 002 (WWW, 2023)

AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. - Guangda Huzhang; Zhen-Jia Pang; Yongqing Gao; Yawen Liu; Weijie Shen; Wen-Ji Zhou; Qianying Lin; Qing Da; Anxiang Zeng; Han Yu 001; Yang Yu 001; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2023)

Residual Multi-Task Learner for Applied Ranking. - Cong Fu 001; Kun Wang 024; Jiahua Wu; Yizhou Chen; Guangda Huzhang; Yabo Ni; Anxiang Zeng; Zhiming Zhou 002 (KDD, 2024)

An E-Commerce Dataset Revealing Variations during Sales. - Jianfu Zhang 003; Qingtao Yu; Yizhou Chen; Guoliang Zhou; Yawen Liu; Yawei Sun; Chen Liang; Guangda Huzhang; Yabo Ni; Anxiang Zeng; Han Yu 001 (SIGIR, 2024)

Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization. - Meng Li; Guangda Huzhang; Haibo Zhang; Xiting Wang; Anxiang Zeng (ACL (1), 2025)

Establishing Reliability Metrics for Reward Models in Large Language Models. - Yizhou Chen; Yawen Liu; Xuesi Wang; Qingtao Yu; Guangda Huzhang; Anxiang Zeng; Han Yu; Zhiming Zhou (CoRR, 2025)

Learning Personalizable Clustered Embedding for Recommender Systems. - Yizhou Chen; Guangda Huzhang; Anxiang Zeng; Qingtao Yu; Hui Sun 003; Heng-Yi Li; Jingyi Li; Yabo Ni; Han Yu 001; Zhiming Zhou 002 (Trans. Recomm. Syst., 2025)