Hao Liu received his Ph.D. degree from the Hong Kong University of Science and Technology (HKUST) in 2017. He is currently an assistant professor at the Artificial Intelligence Thrust, HKUST (Guangzhou), and an Affiliated Assistant Professor at the Department of Computer Science and Engineering, HKUST (Clear Water Bay). Dr. Liu’s current research interests include urban foundation models, spatiotemporal data mining, and their applications on urban science, intelligent transportation, and recommender systems. In the past five years, he has filed over 50 China/U.S. patents and published over 60 research papers at prestigious journals and conferences, such as TKDE, SIGKDD, SIGIR, WebConf, VLDB, NeurIPS, and ICML. For his research on intelligent transportation and urban computing, he was named in Forbes 30 Under 30 China list for science and healthcare 2021.
[New] Postdoc/Research Associate positions available! Very competitive salary and research fund package. Please drop your resume and representative publications to liuh[AT]ust[DOT]hk.
[Prospective 2025 Fall PhD students] Please feel free to send your resume to liuh[AT]ust[DOT]hk. Experiences of top-tier academic publications, data mining challenge awards, and ICPC awards are strong plus. Perspective students are highly encouraged to apply to my visiting student positions first. You can have a close look at my research group, and we can also try to find common research interests before you start your research career.
[Prospective RBM students] If you are interested in my group, please directly apply in the system, we may schedule an offline meeting during your onsite interview. If you have accepted an offer, please appointment with me for a meeting and read the Guidelines & Expectations before you request for supervision. Thanks!
News
- New! (2024-9-26) Two papers were accepted to NeurIPS 2024 about LLM based Urban KG Construction and Benchmarking LLM Jailbreak Attacks (D&S), congrates to my students Yansong Ning and Zhao Xu.
- New! (2024-9-20) Pleased to announce our IEEE standard IEEE Recommended Practice for the Application of Knowledge Graphs for Talent Services formally published after two years preparation.
- New! (2024-9-20) Two papers were accepted to EMNLP 2024 about dense retrival for RAG/QA (main) and LLM enhanced recommendation (findings), congrates to my students Lu Dai and Wenshuo Chao.
- New! (2024-9-13) Starting to serve as an associate editor of IEEE Transaction on Big Data.
- New! (2024-9-1) Congratulations to my students Weijia Zhang and Fan Liu for receiving the AI Thrust Best Research Award and Rising Star Award, respectively!
- New! (2024-8-30) Our paper BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks received the VLDB 2024 Best Paper Nomination Award, congrats to my student Jindong Han.
- New! (2024-8-27) We gave a tutorial about urban foundation models on KDD 2024, checkout the tutorial homepage and the survey.
- (2024-5-17) Three papers were accepted to KDD 2024 about traffic congestion prediction, federated graph learning and irregular traffic forecasting, congrats to my students Wenzhao Jiang, Zhuoning Guo and Weijia Zhang.
- (2024-5-1) Congratulations to my student Jindong Han for receiving the HKUST AIS Best Research Award!
- (2024-5-1) One paper was accepted to ICML 2024 about irregular time series forecasting, congrats to my student Weijia Zhang.
Past news
* (2023-12-20) One paper was accepted to ***VLDB 2024*** about **large-scale traffic forecasting**, congrats to my student Jindong Han. * (2023-12-20) two papers were accepted to ***AAAI 2024*** about **skill demand-supply prediction** and **hierarchical multi-label classification**, congrats to my student Wenshuo Chao and Dr. Zixuan Yuan. * (2023-9-22) One paper was accepted to ***NeurIPS*** Datasets and Benchmarks track about **Urban Knowledge Graph** congrats to my student Yansong Ning. Checkout the opensourced [UrbanKG construction tool and UrbanKGs for NYC and Chicago](https://github.com/usail-hkust/UUKG) to boost your own research. * (2023-5-17) Four papers were accepted to ***KDD*** about **adversarial spatiotemporal training**, **ETA prediction**, and **personalized vehicle energy consumption estimation** congrats to my students Fan Liu, Jindong Han, and Siqi Lai. * (2023-1-30) One paper was accepted to ***TKDE*** about **joint air quality and weather prediction**, congrats to my student Jindong Han. * (2022-9-16) One paper was accepted to ***NeurIPS 2022*** about **adversarial attack against graph based traffic forecasting models**, congrats to my student Fan Liu. * (2022-9-1) One paper was accepted to ***ICDM 2022*** about **knowledge enhanced imitative trajectory generation**, congrats to my student Qingyan Zhu who graduated in August, a perfect end of research study. * (2022-5-19) Three papers were accepted to ***SIGKDD 2022*** about **GPU-accelerated deep learning system**, **multi-agent charging pricing**, and **talent demand-supply prediction**, congrats to my students Weijia Zhang and Zhuoning Guo. * (2022-5-18) One paper on **Reinforced charging station recommendation** was accepted to ***TKDE***. * (2022-5-1) One paper on **multi-modal transportation routing** was accepted to ***VLDBJ***. * (2022-2-21) One paper on **national-wide public transportation routing** was accepted to ***TKDE***. * (2022-1-29) Two papers on **semi-supervised air quality forecasting** and **graph-grounded conversational recommendation** were accepted to ***TKDE***. * (2022-1-29) One paper on **data science competition analysis** was accepted to ***TKDD***. * (2021-12-02) One paper was accepted to ***AAAI 2022*** about **long path knowledge reasoning**. * (2021-09-28) One paper was accepted to ***NeurIPS 2021*** about **bi-level optimization**. * (2021-09-16) I was named in ***Forbes 30 Under 30 China 2021*** list. * (2021-05-18) Four papers were accepted to ***SIGKDD 2021*** about **web-scale machine learning system**, **real estate appraisal**, **talent demand forecasting**, and **domain-oriented BERT**. * (2021-01-16) Two papers were accepted to ***WebConf 2021*** about **intelligent charging station recommendation** and **online query-POI matching**. * (2020-03-16) Our Cross-City Multi-Modal Recommendation service get online! This service covers over 330 cities in mainland China.* (2019-08-02) We organized "The KDD Cup 2019 Regular ML Track", Context-Aware Multi-Modal Transportation Recommendation. We attracted over 1700 teams participates.
* (2018-9-01) Our Multi-Modal Transportation Recommendation service get online! Download Baidu Maps and try Zhixing!
Selected Publications
- Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong. JiZhi: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021), Virtual Conference, 2021.
- Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong. Multi-Modal Transportation Recommendation with Unified Route Representation Learning. In Proceedings of the VLDB Endowment (VLDB 2021), Copenhagen, Denmark, 2021.
- Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma and Hui Xiong. Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020), San Diego, California, 2020.
- Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, and Hui Xiong. Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019) , Anchorage, Alaska, 2019.
- Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, and Hui Xiong. Joint Representation Learning for Multi-Modal Transportation Recommendation. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019) , Honolulu, Hawaii, USA, 2019.