中国·122cc太阳集团(股份)有限公司-Official website

个人信息

秦志达，122cc太阳集团副研究员，助理教授，硕士生导师。研究方向为推荐系统，人工智能，图神经网络等，共发表KDD、SIGIR、TKDE、INFOCOM、ICML等顶级会议和期刊论文29篇，承担了国家自然科学基金青年项目，光明实验室开放课题、北京理工大学青年学术启动计划等一系列项目，参与了国家自然科学基金重点项目、重点研发计划、面上项目等多个纵向项目。担任ACM KDD，AAAI，TKDE，SIGIR，TNNLS等一系列顶级期刊与会议的审稿人。英文主页：https://zhidaqin.github.io/.

Note：每年可招收3~4名硕士，本实验室以发表顶级会议为主，科研氛围浓厚，欢迎感兴趣的同学通过zanderqin@bit.edu.cn联系。

科研方向

1. 智能推荐系统，协同过滤

2. 生成式人工智能，大语言模型，图神经网络

3. 物联网，多智能体强化学习

代表性学术成果

* 代表通讯作者，全部列表参见谷歌学术

1.  [TKDE] Zhida Qin, Wentao Cheng, Wenxing Ding, Gangyi Ding, "Hyperbolic Graph Contrastive Learning for Collaborative Filtering," IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 3, pp. 1255-1267, March 2025. (CCF A)

2.  [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)

3.  [KDD] Haoyan Fu, Zhida Qin*, Shixiao Yang, Zhang Haoyao, Bin Lu, Shuang Li, Tianyu Huang, John C.S. Lui, "Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs," 31st SIGKDD Conference on Knowledge Discovery and Data Mining, accepted, 2025. (CCF A)

4.  [SIGIR] Wentao Cheng, Zhida Qin*, Zexue Wu, Pengzhan Zhou and Tianyu Huang, "Large Language Models Enhanced Hyperbolic Space Recommender Systems," ACM SIGIR Conference on Research and Development in Information Retrieval, accepted, 2025. (CCF A)

5.  [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)

6.   [ICML] Lincan Cai, Jingxuan Kang, Shuang Li, Wenxuan Ma, Binhui Xie, Zhida Qin, Jian Liang, "From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection," International Conference on Machine Learning, accepted, 2025. (CCF A)

7.   [TMC] Pengzhan Zhou, Yijun Zhai, Yuepeng He, Fang Qu, Zhida Qin, Xiaolong Jiao, Fulin Luo, Chao Chen, Songtao Guo, "FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Personalized Autonomous Vehicles with Guaranteed Efficiency," IEEE Transactions on Mobile Computing, accepted. (CCF A)

8.   [IoTJ] Zemu Liu, Zhida Qin*, Tianyu Huang, Gangyi Ding, "Dynamic Graph Convolution and Spatio-Temporal Self-Attention Network for Traffic Flow Prediction," IEEE Internet of Things Journal, accepted. (JCR Q1, IF 8.2)

9.   [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, vol 16, no. 2, April 2025. ( JCR Q1, IF 7.2)

10.  [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)

11.  [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)

12.  [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). 

13.  [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)

14.  [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)

15. [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)

16.  [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)

17.  [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)

18. [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)

承担科研情况

1. 国家科学青年基金，2022-2024，主持

2. 广东省光明实验室开放课题，2024-2026，主持

3. 北理工青年教师学术启动计划，2021-2023， 主持

所获奖励

“挑战杯”首都大学生课外学术科技作品竞赛，北京市二等奖，指导教师

上海交通大学优秀毕业生

上海交通大学周维榦奖学金

社会兼职

1. 中国计算机学会会员，中国电子学会会员

2. IEEE ICCC 2022， TPC member，

IEEE TMC、TWC、TSP、MobiHoc、INFOCOM、ICNP等期刊与会议审稿人

备注

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