陳昊 博士 

助理教授(研究) 碩導

學校郵箱：haochen@cityu.edu.mo

辦公電話：(853)8590 2371

辦公地址：澳門城市大學(氹仔)何鴻燊樓S504室

學歷

2015.09 - 2022.06 計算機軟件與理論博士 北京航空航天大學

2011.09 - 2015.06 數學與應用數學學士 南開大學 

現任

澳門城市大學計算機科學研究助理教授

工作經歷

2023.03 - 2024.12 博士後研究員 香港理工大學

2019.09 - 2022.12 犀牛鳥校企合作 微信視頻號/直播創始團隊

2018.09 - 2019.09 犀牛鳥校企合作 騰訊AI Lab 

曾任教科目

數碼市場學

人工智能

研究方向

Graph & Recommendation, Large Language Models, Embodied AI

研究及出版

Graph & Recommendation

2024:

[1] (CCF A) Chen, H., Bei, Y., Huang, W., Chen, S., Huang, F., & Huang, X. (2024). Graph Cross-Correlated Network for Recommendation. IEEE Transactions on Knowledge and Data Engineering.

[2] (CCF A) Chen, H., Bei, Y., ... & Huang, X. (2024). Macro graph neural networks for online billion-scale recommender systems. In WWW.

[3] (CCF A) Liu, R., Chen, H., Bei, Y., Shen, Q., Zhong, F., Wang, S., & Wang, J. (2024). Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination. In NeurIPS (Spotlight, Top 1%).

[4] (CCF A) Bei, Y., Chen, W., Chen, H., Zhou, S., Yang, C., Fan, J., ... & Bu, J. (2024). Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification. In KDD.

[5] (CCF A) Zhang, Y., Bei, Y., Chen, H.*, Shen, Q., Yuan, Z., Gong, H., ... & Huang, X. (2024). Multi-behavior collaborative filtering with partial order graph convolutional networks. In KDD.

[6] (CCF A) Zhang, S., Wang, S., Miao, H., Chen, H., Fan, C., & Zhang, J. (2024). Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. In IJCAI.

[7] (CCF A) Ning, L. B., Wang, S., Fan, W., Li, Q., Xu, X., Chen, H., & Huang, F. (2024). Cheatagent: Attacking llm-empowered recommender systems via llm agent. In KDD.

[8] (CCF B) Huang, F., Yang, Z., Jiang, J., Bei, Y., Zhang, Y., & Chen, H.* (2024). Large Language Model Simulator for Cold-Start Recommendation. In WSDM.

[9] (CCF B) Chen, W., Bei, Y., Shen, Q., Chen, H.*, Huang, X., & Huang, F. (2024). Feedback reciprocal graph collaborative filtering. In CIKM.

2023:

[10] (CCF A) Huang, F., Wang, Z., Huang, X., Qian, Y., Li, Z., & Chen, H.* (2023). Aligning distillation for cold-start item recommendation. In SIGIR (Best Paper Honorable Mention).

[11] (CCF A) Xu, Y., Chen, H., Wang, Z., Yin, J., Shen, Q., Wang, D., ... & Hu, X. (2023). Multi-factor sequential re-ranking with perception-aware diversification. In KDD.

[12] (CCF A) Zhou, H., Chen, H.*, Dong, J., Zha, D., Zhou, C., & Huang, X. (2023). Adaptive popularity debiasing aggregator for graph collaborative filtering. In SIGIR.

[13] (CCF A) Bei, Y., Chen, H., Chen, S., Huang, X., Zhou, S., & Huang, F. (2023). Non-recursive cluster-scale graph interacted model for click-through rate prediction. In CIKM.

[14] (CCF A) Bei, Y., Zhou, S., Tan, Q., Xu, H., Chen, H., Li, Z., & Bu, J. (2023). Reinforcement neighborhood selection for unsupervised graph anomaly detection. In ICDM.

[15] (CCF A) Tan, Q., Zhang, X., Huang, X., Chen, H., Li, J., & Hu, X. (2023). Collaborative graph neural networks for attributed network embedding. IEEE Transactions on Knowledge and Data Engineering.

[16] (CCF A) Xu, Y., Shen, Q., Yin, J., Deng, Z., Wang, D., Chen, H., ... & Ge, J. (2023). Multi-channel Integrated Recommendation with Exposure Constraints. In KDD.

2022 and before:

[17] (CCF A) Chen, H., Wang, Z., Huang, F., Huang, X., Xu, Y., Lin, Y., ... & Li, Z. (2022). Generative adversarial framework for cold-start item recommendation. In SIGIR.

[18] (CCF B) Chen, H., Deng, Z., Xu, Y., & Li, Z. (2021). Non-recursive graph convolutional networks. In ICASSP.

[19] (CCF B) Chen, H., Huang, W., Xu, Y., Sun, F., & Li, Z. (2020). Graph unfolding networks. In CIKM.

[20] (CCF B) Chen, H., Xu, Y., Huang, F., Deng, Z., Huang, W., Wang, S., ... & Li, Z. (2020). Label-aware graph convolutional networks. In CIKM.

[21] (JCR Q1) Chen, H., Huang, Z., Xu, Y., Deng, Z., Huang, F., He, P., & Li, Z. (2022). Neighbor enhanced graph convolutional networks for node classification and recommendation. Knowledge-based systems.

[22] (CCF B) Wang, S., Miao, H., Chen, H., & Huang, Z. (2020). Multi-task adversarial spatial-temporal networks for crowd flow prediction. In CIKM.

[23] (CCF A) Wang, S., Chen, H., Cao, J., Zhang, J., & Philip, S. Y. (2019). Locally balanced inductive matrix completion for demand-supply inference in stationless bike-sharing systems. IEEE Transactions on Knowledge and Data Engineering.

Large Language Models

[24] (CCF A) Dong, J., Zhang, Q., Zhou, C., Chen, H.*, Zha, D., & Huang, X. (2024). Cost-efficient Knowledge-based Question Answering with Large Language Models. In NeurIPS.

[25] (CCF A) Zhou, H., Zhou, S., Chen, H., Liu, N., Yang, F., & Huang, X. (2024). Enhancing explainable rating prediction through annotated macro concepts. In ACL.

[26] (CCF A) Zhang, Q., Dong, J., Chen, H., Zha, D., Yu, Z., & Huang, X. (2024). KnowGPT: Knowledge Graph based Prompting for Large Language Models. In NeurIPS.

[27] (CCF A) Hong, Z., Yuan, Z., Chen, H., Zhang, Q., Huang, F., & Huang, X. (2024). Knowledge-to-sql: Enhancing SQL generation with data expert LLM. In ACL Findings.

[28] Hong, Z., Yuan, Z., Zhang, Q., Chen, H., Dong, J., Huang, F., & Huang, X. (2024). Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL. IEEE Transactions on Knowledge and Data Engineering (Under Revision).

Embodied AI

[29] (CCF B) Zhong, F., Wu, K., Ci, H., Wang, C., & Chen, H. (2025). Empowering embodied visual tracking with visual foundation models and offline RL. In ECCV.

[30] Zhong, F., Wu, K., Wang, C., Chen, H., Ci, H., Li, Z., & Wang, Y. (2024). UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI. In arXiv preprint.

學術獎項

2024 NeruIPS Spotlight Paper (Top 1% )

2023 SIGIR Best Paper Honorable Mention (Top 1%)