Optimum Linear Detection of a Modified V-BLAST System with Delay Offsets. - Huajiong Lin; Youxi Tang; Lu Guan; Kai Deng (VTC Fall, 2008)

Successive interference cancellation (SIC) in V-BLAST systems with asynchronous transmission mode. - Huajiong Lin; Youxi Tang; Lu Guan; Shihai Shao (Sci. China Ser. F Inf. Sci., 2009)

Ordered Successive Interference Cancellation (OSIC) in V-BLAST Systems with Asynchronous Transmission Mode. - Huajiong Lin; Youxi Tang; Lu Guan; Shihai Shao (Wirel. Pers. Commun., 2011)

A dynamic resource allocation method in IaaS based on deadline time. - Lu Guan; Ying Wang; Yanfei Li (APNOMS, 2012)

An energy efficient resource management method in virtualized cloud environment. - Yanfei Li; Ying Wang; Bo Yin; Lu Guan (APNOMS, 2012)

An Online Power Metering Model for Cloud Environment. - Yanfei Li; Ying Wang; Bo Yin; Lu Guan (NCA, 2012)

Efficient probing method for active diagnosis in large scale network. - Lu Guan; Ying Wang 002; Wenjing Li 001; Congxian Yan (CNSM, 2013)

Multi-layer fault diagnosis method in the Network Virtualization Environment. - Congxian Yan; Ying Wang 002; Xuesong Qiu 001; Wenjing Li 001; Lu Guan (APNOMS, 2014)

An EEG signal classification method based on sparse auto-encoders and support vector machine. - Bo Yan; Yong Wang; Yuheng Li; Yejiang Gong; Lu Guan; Sheng Yu (ICCC, 2016)

Segmenting and Characterizing Adopters of E-Books and Paper Books Based on Amazon Book Reviews. - Lu Guan; Yafei Zhang; Jonathan J. H. Zhu (SMP, 2016)

PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation. - Qiong Wu 001; Yong Liu 020; Chunyan Miao; Binqiang Zhao; Yin Zhao; Lu Guan (IJCAI, 2019)

RNE: A Scalable Network Embedding for Billion-Scale Recommendation. - Jianbin Lin; Daixin Wang; Lu Guan; Yin Zhao; Binqiang Zhao; Jun Zhou 011; Xiaolong Li 005; Yuan (Alan) Qi (PAKDD (2), 2019)

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation. - Yong Liu 020; Yinan Zhang 002; Qiong Wu 001; Chunyan Miao; Lizhen Cui; Binqiang Zhao; Yin Zhao; Lu Guan (CoRR, 2019)

Recent Advances in Diversified Recommendation. - Qiong Wu 001; Yong Liu 020; Chunyan Miao; Yin Zhao; Lu Guan; Haihong Tang (CoRR, 2019)

Predicting reposting latency of news content in social media: A focus on issue attention, temporal usage pattern, and information redundancy. - Lu Guan; Hai Liang; Jonathan J. H. Zhu (Comput. Hum. Behav., 2022)

Predicting information exposure and continuous consumption: self-level interest similarity, peer-level interest similarity and global popularity. - Lu Guan; Yafei Zhang; Jonathan J. H. Zhu (Online Inf. Rev., 2022)

Staying, switching, and multiplatforming of user-generated content activities: a 12-year panel study. - Lei Hou 009; Lu Guan; Yixin Zhou; Anqi Shen; Wei Wang; Ang Luo; Heng Lu; Jonathan J. H. Zhu (Internet Res., 2023)

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. - Yurou Zhao; Yiding Sun; Ruidong Han; Fei Jiang 009; Lu Guan; Xiang Li 067; Wei Lin 022; Weizhi Ma; Jiaxin Mao (CIKM, 2024)

Beacon Signal based Energy-saving Mechanism for 6G Networks. - Ailin Deng; Xiaoqian Li; Gang Feng; Lu Guan (ICCT, 2024)

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. - Yurou Zhao; Yiding Sun; Ruidong Han; Fei Jiang 009; Lu Guan; Xiang Li 067; Wei Lin 022; Jiaxin Mao (CoRR, 2024)