How to advertise Approapriately on the World Wide Web? A Multi-Congruity Analysis Approach. - Yongqiang Sun; Yunhong Xu; Yunhong Wang 002; Xiaojian Chen (PACIS, 2009)

Using Social Network Analysis as a Strategy for E-Commerce Recommendation. - Yunhong Xu; Jian Ma 008; Yong-Hong Sun; Jinxing Hao; Yongqiang Sun; Yongqiang Zhao (PACIS, 2009)

Network Based Approach for Discovering Academic Researchers with Shared Interests. - Yunhong Xu; Zhihua Chang; Jiejia Lin; Jian Ma 008; Jinxing Hao; Dingtao Zhao (ICEE, 2010)

Unraveling the Relationship between Co-Authorship and Research Interest. - Jiejia Lin; Yunhong Xu; Shujin Cao (PACIS, 2010)

A Personalized Researcher Recommendation Approach in Academic Contexts: Combining Social Networks and Semantic Concepts Analysis. - Yunhong Xu; Jinxing Hao; Raymond Y. K. Lau; Jian Ma 008; Wei Xu 008; Dingtao Zhao (PACIS, 2010)

A decision support approach for assigning reviewers to proposals. - Yunhong Xu; Jian Ma 008; Yong-Hong Sun; Gang Hao; Wei Xu 008; Dingtao Zhao (Expert Syst. Appl., 2010)

Modeling Researchers' Characteristics For The Formation Of Research Team. - Yunhong Xu; Jian Ma 008; Xitong Guo (PACIS, 2012)

Combining social network and semantic concept analysis for personalized academic researcher recommendation. - Yunhong Xu; Xitong Guo; Jinxing Hao; Jian Ma 008; Raymond Y. K. Lau; Wei Xu 008 (Decis. Support Syst., 2012)

A Three-Layer Network Model for Reviewer Recommendation. - Yunhong Xu; Yuanwei Du 001 (BIFE, 2013)

Understanding Users' Satisfaction with Social Learning Network. - Yunhong Xu; Yongqiang Sun; Jian Ma 008; Ou Liu (PACIS, 2014)

Peer Reviewer Recommendation in Online Social Learning Context: Integrating Information of Learners and Submissions. - Yunhong Xu; Ru Wang (PACIS, 2014)

Can Deep Learning Approach Be Virtually Cultivated Via Social Learning Network. - Yunhong Xu; Thushari P. Silva; Yu Chen; Yuanwei Du 001; Nanli Zhu (PACIS, 2015)

Understanding researchers' Meta-Knowledge Contribution Behavior in Research Social Network: a Social Capital Perspective. - Yunhong Xu; Jianshan Sun; Gang Wang 003; Shanshan Wang; Jian Ma 008 (PACIS, 2016)

Stream Aggregation Through Order Sampling. - Nick G. Duffield; Yunhong Xu; Liangzhen Xia; Nesreen K. Ahmed; Minlan Yu (CIKM, 2017)

Scholar-Friend Recommendation in Online Academic Communities: Approach based on Heterogeneous Network. - Yunhong Xu; Duanning Zhou; Jian Ma 008 (ICIS, 2018)

Scholar-friend recommendation in online academic communities: An approach based on heterogeneous network. - Yunhong Xu; Duanning Zhou; Jian Ma 008 (Decis. Support Syst., 2019)

Investigating Users' Tagging Behavior in Online Academic Community Based on Growth Model: Difference between Active and Inactive Users. - Yunhong Xu; Dehu Yin; Duanning Zhou (Inf. Syst. Frontiers, 2019)

Poster: CO2: Collaborative Packet Classification for Network Functions with Overselection. - Yunhong Xu; Hao Wu 023; Nick Duffield; Bin Liu 001; Minlan Yu (Networking, 2020)

Exploration via Distributional Reinforcement Learning with Epistemic and Aleatoric Uncertainty Estimation. - Qi Liu 027; Yanjie Li; Yuecheng Liu; Meiling Chen; Shaohua Lv; Yunhong Xu (CASE, 2021)

Efficient Power Grid Topology Control via Two-Stage Action Search. - Yuecheng Liu; Yanjie Li; Qi Liu 027; Yunhong Xu; Shaohua Lv; Meiling Chen (ICIRA (3), 2021)

Multi-agent Pathfinding with Local and Global Guidance. - Yunhong Xu; Yanjie Li; Qi Liu 027; Jianqi Gao; Yuecheng Liu; Meiling Chen (ICNSC, 2021)

Towards Autonomous Driving Decision by Combining Self-attention and Deep Reinforcement Learning. - Meiling Chen; Yanjie Li; Qi Liu 027; Shaohua Lv; Yunhong Xu; Yuecheng Liu (RCAR, 2021)

Hashing Design in Modern Networks: Challenges and Mitigation Techniques. - Yunhong Xu; Keqiang He; Rui Wang 025; Minlan Yu; Nick Duffield; Hassan M. G. Wassel; Shidong Zhang; Leon Poutievski; Junlan Zhou; Amin Vahdat (USENIX ATC, 2022)

Predicting Patients' Satisfaction With Doctors in Online Medical Communities: An Approach Based on XGBoost Algorithm. - Yunhong Xu; Guangyu Wu; Yu Chen (J. Organ. End User Comput., 2022)