Trajectory-Matching Prediction for Friend Recommendation in Anonymous Social Networks. - Yichun Duan; Yuanxing Zhang; Chengliang Gao; Meng Tong; Yuanyuan Zhang; Kaigui Bian; Wei Yan 007 (GLOBECOM, 2017)

Holiday syndrome: A measurement study of mobile social network use during holidays. - Chengliang Gao; Yuanxing Zhang; Kaigui Bian; Zhuojin Li; Yichong Bai; Xuanzhe Liu (ICC, 2017)

On Lifecycle of Interactive Web Apps in WeChat. - Chengliang Gao; Yuanxing Zhang; Kaigui Bian; Shaoling Dong; Lingyang Song (ICC, 2018)

Two-Stage Attention Network for Aspect-Level Sentiment Classification. - Kai Gao 006; Hua Xu 003; Chengliang Gao; Xiaomin Sun 001; Junhui Deng; Xiaoming Zhang (ICONIP (4), 2018)

Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification. - Kai Gao 006; Hua Xu 003; Chengliang Gao; Hanyong Hao; Junhui Deng; Xiaomin Sun 001 (IJCNN, 2018)

Proactive Video Push for Optimizing Bandwidth Consumption in Hybrid CDN-P2P VoD Systems. - Yuanxing Zhang; Chengliang Gao; Yangze Guo; Kaigui Bian; Xin Jin 008; Zhi Yang 001; Lingyang Song; Jiangang Cheng; Hu Tuo; Xiaoming Li 001 (INFOCOM, 2018)

Modeling Attention Flow on Graphs. - Xiaoran Xu; Songpeng Zu; Chengliang Gao; Yuan Zhang; Wei Feng (CoRR, 2018)

Mobile Social Big Data: WeChat Moments Dataset, Network Applications, and Opportunities. - Yuanxing Zhang; Zhuqi Li; Chengliang Gao; Kaigui Bian; Lingyang Song; Shaoling Dong; Xiaoming Li 001 (IEEE Netw., 2018)

Machine Learning Assisted Content Delivery at Edge of Mobile Social Networks. - Yu Tao; Kaigui Bian; Chengliang Gao; Yuanxing Zhang; Lingyang Song; Shaoling Dong (DSC, 2019)

Learning at the Edge: Smart Content Delivery in Real World Mobile Social Networks. - Kaigui Bian; Chengliang Gao; Yu Tao; Yuanxing Zhang; Lingyang Song; Shaoling Dong; Xiaoming Li 001 (IEEE Netw., 2019)

GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network. - Shiwen Wu; Yuanxing Zhang; Chengliang Gao; Kaigui Bian; Bin Cui 001 (Data Sci. Eng., 2020)

A Deep Learning Method for Route and Time Prediction in Food Delivery Service. - Chengliang Gao; Fan Zhang; Guanqun Wu; Qiwan Hu; Qiang Ru; Jinghua Hao; Renqing He; Zhizhao Sun (KDD, 2021)

Applying Deep Learning Based Probabilistic Forecasting to Food Preparation Time for On-Demand Delivery Service. - Chengliang Gao; Fan Zhang; Yue Zhou; Ronggen Feng; Qiang Ru; Kaigui Bian; Renqing He; Zhizhao Sun (KDD, 2022)

Automatically Identifying Sentences with Attack Behavior from Cyber Threat Intelligence Reports. - JunJun Chen; Chengliang Gao; Fei Tang; Jiaxu Xing; Qianlong Xiao; Dongyang Zheng; Jing Qiu 002 (DSC, 2023)

Conserving Semantic Unit Information and Simplifying Syntactic Constituents to Improve Implicit Discourse Relation Recognition. - Zhongyang Fang; Yue Cong; Yuhan Chai; Chengliang Gao; Ximing Chen 004; Jing Qiu 002 (Entropy, 2023)

Ada-FFL: Adaptive computing fairness federated learning. - Yue Cong; Jing Qiu 002; Kun Zhang 001; Zhongyang Fang; Chengliang Gao; Shen Su; Zhihong Tian (CAAI Trans. Intell. Technol., 2024)