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 spatiotemporal data mining, graph learning, reinforcement learning, and their applications on urban computing, intelligent transportation, and recommender systems. In the past three years, he has filed over 50 China/U.S. patents and published over 40 research papers at prestigious journals and conferences, such as TKDE, SIGKDD, SIGIR, WebConf, VLDB, AAAI, and IJCAI. 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 position available! Very competitive salary and research fund package. Please drop your resume and representative publications to liuh[AT]ust[DOT]hk.

[2024 Spring and Fall] Multiple Ph.D. positions available! 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 also 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 Ph.D. career.

[Prospective MPhil students] Please read the Guidelines & Expectations before you request for supervision. Thanks!

News

  • New! (2023-12-20) One paper was accepted to VLDB 2024 about large-scale traffic forecasting, congrats to my student Jindong Han.
  • New! (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 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.
Past news * (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