Congcong LIU (刘聪聪)

PhD
Department of Electronic and Computer Engineering,
The Hong Kong University of Science and Technology

Email: cliubh AT ust DOT hk

About Me

I am currently a researcher at JD.COM. I got my Ph.D. in 2020 from The Hong Kong University of Science and Technology(HKUST), supervised by Bertram E. Shi. I received the B.S.(2015) in Information Engineering from Zhejiang University(ZJU), graduated with honor of Zhejiang Province. I entered ECE Ph.D. program (2015) in HKUST with the Hong Kong PhD Fellowship (HKPF) Award.

Google Scholar  /  Research Gate  /  Github  /  CV  /  LinkedIn

Research

I am generally interested in understanding and improving machine learning and deep learning for complex real-world data, with application to Recommender Systems, Online Advertising and Autonomous Driving.

Generalize for Future: Slow and Fast Trajectory learning for CTR prediction
The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24)

Jian Zhu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao

Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
Paper
Confidence Ranking for CTR Prediction
International World Wide Web Conference 2023 (WWW 2023)

Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao
Paper
Position Awareness Modeling with Knowledge Distillation for CTR Prediction
16th ACM Conference on Recommender Systems (RecSys 2022)

Congcong Liu, Yuejiang Li, Jian Zhu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jingping Shao
arXiv
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention
IEEE International Conference on Robotics and Automation (ICRA 2021)

Congcong Liu, Yuying Chen, Ming Liu, Bertram Shi
arXiv
CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation
The British Machine Vision Conference (BMVC), 2020

Yuying Chen*, Congcong Liu*, Ming Liu, Bertram Shi
(*indicates equal contribution)
arXiv
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze.
IEEE Robotics and Automation Letters (RA-L), 2020
IEEE International Conference on Robotics and Automation (ICRA 2020)

Yuying Chen*, Congcong Liu*, Ming Liu, Bertram Shi
(*indicates equal contribution)
arXiv
Using Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020
ICML workshop, 2019

Congcong Liu*, Yuying Chen*, Lei Tai, Ming Liu, Bertram Shi
(*indicates equal contribution)
Paper
Gaze Training by Modulated Dropout Improves Imitation Learning.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019)

Yuying Chen*, Congcong Liu* Lei Tai, Ming Liu, Bertram Shi
(*indicates equal contribution)
arXiv / bibtex
A Gaze Model Improves Autonomous Driving.
In 2019 Symposium on Eye Tracking Research and Applications (ETRA ’19)

Congcong Liu*, Yuying Chen*, Lei Tai, Haoyang Ye, Ming Liu, Bertram Shi
(*indicates equal contribution)
page / bibtex / video
End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019)

Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu
arXiv / bibtex / video / code
On the Interaction between Gaze Behavior and Physiological Responses when Viewing Garden Scenes.
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Congcong Liu, Yawen Zhang, Karl Herrup, Bertram Shi
Paper / bibtex
Remote gaze tracking system for 3D environments
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Congcong Liu, Karl Herrup, Bertram Shi
Paper / Video / bibtex
Honors and Awards

HKUST SENG Academic Award (Top Research Post-Graduate Award), 2019-2020

HKUST SENG Academic Award (Top Research Post-Graduate Award), 2018-2019

Hong Kong PhD Fellowship (HKPFS) (216 candidates in Hong Kong), 2015-2019

Outstanding Graduates of Zhejiang Province (Top 5%), 2015

Tang Lixin Excellent Student Pacesetter Scholarship (10 out of more than 22000 UG students), 2014

Excellent Student Scholarship in Zhejiang University, 2011-2014

Service
Conference reviewer for ICRA 2020, BMVC 2020, WACV 2021, CVPR 2021, ICCV 2021, IROS 2021

Journal reviewer for IEEE-RAS

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