Leveraging the Dynamic Changes from Items to Improve Recommendation. - Zongze Jin; Yun Zhang; Weimin Mu; Weiping Wang 005; Hai Jin 001 (ER, 2018)

Leveraging Similar Reviews to Discover What Users Want. - Zongze Jin; Yun Zhang; Weimin Mu; Weiping Wang 005 (ICONIP (5), 2018)

Collaborating Aesthetic Change and Heterogeneous Information into Recommender Systems. - Zongze Jin; Yun Zhang; Weimin Mu; Weiping Wang 005; Hai Jin 001 (PRICAI (1), 2018)

OMOPredictor: An Online Multi-Step Operator Performance Prediction Framework in Distributed Streaming Processing. - Weimin Mu; Zongze Jin; Fan Liu; Weilin Zhu; Weiping Wang (ISPA/BDCloud/SocialCom/SustainCom, 2019)

BGElasor: Elastic-Scaling Framework for Distributed Streaming Processing with Deep Neural Network. - Weimin Mu; Zongze Jin; Junwei Wang; Weilin Zhu; Weiping Wang 005 (NPC, 2019)

QEScalor: Quantitative Elastic Scaling Framework in Distributed Streaming Processing. - Weimin Mu; Zongze Jin; Weilin Zhu; Fan Liu; Zhenzhen Li; Ziyuan Zhu; Weiping Wang (ICCS (1), 2020)

DROAllocator: A Dynamic Resource-Aware Operator Allocation Framework in Distributed Streaming Processing. - Fan Liu; Zongze Jin; Weimin Mu; Weilin Zhu; Yun Zhang; Weiping Wang (NPC, 2020)

HDQGF: Heterogeneous Data Quality Guarantee Framework Based on Deep Learning. - Yun Zhang; Zongze Jin; Weilin Zhu; Lei Chi; Weiping Wang 005 (CSCWD, 2021)