Publications

Journal Papers (published/accepted) # indicates corresponding author

  1. [TKDE] Zhida Qin, Wentao Cheng, Wenxing Ding, Gangyi Ding, "Hyperbolic Graph Contrastive Learning for Collaborative Filtering," IEEE Transactions on Knowledge and Data Engineering, accepted. (CCF A)

  2. [TIST] Zhida Qin, Wenhao Xue, Lu Zheng, Xiaoying Gan, Hongqiu Wu, Haiming Jin, Luoyi Fu, "Cost-aware Best Arm Identi cation in Stochastic Bandits," ACM Transactions on Intelligent Systems and Technology, accepted. ( JCR Q1, IF 7.2)

  3. [TCSS] Shixiao Yang, Zhida Qin#, Enjun Du, Pengzhan Zhou and Tianyu Huang, "Dual Social View Enhanced Contrastive Learning for Social Recommendation," IEEE Transactions on Computational Social Systems, accepted. ( JCR Q1, IF 4.5)

  4. [IPM] Haoyan Fu, Zhida Qin#, Wenhao Xue, and Gangyi Ding, "Fusing Temporal and Semantic Dependencies for Session-based Recommendation," Information Processing and Management, vol.62, no. 1, Jan. 2025. (中科院一区, JCR Q1 IF 7.4)

  5. [TCC] Yuepeng He, Pengzhan Zhou, Yijun Zhai, Fang Qu, Zhida Qin, Mingyan Li, and Songtao Guo, "FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction," IEEE Transactions on Cloud Computing, accepted, 2024. (JCR Q1)

  6. [TCSS] Daohan Su, Bowen Fan, Zhi Zhang, Haoyan Fu, and Zhida Qin#, "DCL: Diversified Graph Recommendation With Contrastive Learning," IEEE Transactions on Computational Social Systems, vol. 11, no. 3, June 2024. (JCR Q1, IF 4.5)

  7. [TNSE] Zhida Qin, Siyun Yang, Yuchen Huang, Haoyan Fu, Pengzhan Zhou, and Gangyi Ding, "Towards Relevance and Diversity in Crowdsourcing Worker Recruitment With Insufficient Information," IEEE Transactions on Network Science and Engineering, vol. 11, no. 1, Jan. 2024. (JCR Q1, IF 6.7)

  8. [TNSE] Ao Wang, Zhida Qin#, Lu Zheng, Dapeng Li#, and Lin Gao, "Distributed Robust Bandits With Efficient Communication," IEEE Transactions on Network Science and Engineering, vol. 10, no. 3, May 2023. (JCR Q1, IF 6.7).

  9. [TTE] Xiaoying Gan, Haoxiang Zhang, Gai Hang, Zhida Qin, and Haiming Jin, "Fast-Charging Station Deployment Considering Elastic Demand," IEEE Transactions on Transportation Electrification, vol. 6, no. 1, March 2020. (中科院一区, JCR Q1, IF 7.2)

  10. [TNSE] Zhida Qin, Ziquan You, Haiming Jin, Xiaoying Gan, and Jingchao Wang, "Homophily-Driven Evolution Increases the Diffffusion Accuracy in Social Networks," IEEE Transactions on Network Science and Engineering, vol. 7, no. 4, Oct. 2020. (JCR Q1, IF 6.7)

  11. [TNSE] Xiaoying Gan, Chen Feng, Zhida Qin,, Ge Zhang, Huaying Wu, Luoyi Fu, and Xinbing Wang "Relay-Assisted Multicast With Markov Mobility," IEEE Transactions on Network Science and Engineering, vol. 7, no. 3, July 2020. (JCR Q1, IF 6.7)

  12. [TWC] Zhida Qin, Xiaoying Gan, Luoyi Fu, Xin Di, Jun Tian and Xinbing Wang, "Content Delivery in Cache-Enabled Wireless Evolving Social Networks," IEEE Transactions on Wireless Communications, vol. 17, no. 10, Oct. 2018. (中科院一区, JCR Q1, IF 8.9)

  13. [Access] Xiaoying Gan, Zhida Qin, Luoyi Fu, and Xinbing Wang, "Unraveling the Impact of Users’ Interest on Information Dissemination in Wireless Networks," IEEE Access, vol. 6, May 2018.

  14. [TCOM] Zhida Qin, Xiaoying Gan, Jingchao Wang, Luoyi Fu and Xinbing Wang, "Capacity of Social-Aware Wireless Networks With Directional Antennas," IEEE Transactions on Communications, vol. 65, no. 11, Nov. 2017. (中科院一区, JCR Q1, IF 7.2)

Conference Papers

  1. [INFOCOM] Xufeng Liang, Zhida Qin#, Pengzhan Zhou, Shuang Li and Tianyu Huang, "Dual-GT: Dual-scale Spatial Dependency for Grid-Based Traffic Flow Prediction," IEEE Conference on Computer Communications, accepted, 2025. (CCF A)

  2. [MSN] Yijun Zhai, Pengzhan Zhou, Yuepeng He, Fang Qu, Zhida Qin, Xianlong Jiao, Guiyan Liu and Songtao Guo, "FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles," The 20th International Conference on Mobility, Sensing and Networking, accepted, 2024.

  3. [UIC] Pengzhan Zhou, Yuepeng He, Yijun Zhai, Kaixin Gao, Chao Chen, Zhida Qin, Chong Zhang and Songtao Guo, "FedAH: Aggregated Head for Personalized Federated Learning," IEEE International Conference on Ubiquitous Intelligence and Computing, accepted, 2024.

  4. [INFOCOM] Zhida Qin, Xiaoying Gan, Jia Liu, Hongqiu Wu, Haiming Jin and Luoyi Fu, "Exploring Best Arm with Top Reward-Cost Ratio in Stochastic Bandits," IEEE International Conference on Computer Communications, online, May 2020. (CCF A)

  5. [ChinaCom] Chaochen Ma, Zhida Qin, Xiaoying Gan, Luoyi Fu, "Joint Collaborative Task Offloading for Cost-Efficient Applications in Edge Computing," International Conference on Communications and Networking in China, Shanghai, China, Nov. 2019.

  6. [WCSP] Yuchen Chen, Zhida Qin, Xiaoying Gan, "Optimal EV charging network design: When users have choices," IEEE International Conference on Wireless Communications and Signal Processing, Xi'an, China, Oct. 2019.

  7. [ICCC] Shentai Liu, Zhida Qin, Xiaoying Gan, Zhen Wang, "SCOD: A novel semi-supervised outlier detection framework," IEEE/CIC International Conference on Communications in China, Changchun, China, Aug. 2019.

  8. [WCSP] Yiqing Li, Xiaoying Gan, Luoyi Fu, Xiaohua Tian, Zhida Qin, Yanhong Zhou, "Conformity-Aware Influence Maximization with User Profiles," IEEE International Conference on Wireless Communications and Signal Processing, Hangzhou, China, Oct. 2018.

  9. [GLOBECOM] Zhida Qin, Xiaoying Gan, Manyuan Shen, Xinbing Wang and Xiaohua Tian, "Capacity of wireless networks with social behavior and directional antennas," IEEE Global Communications Conference, Washington D.C., December 2016.