Xiucheng Li (李修成)
Assistant Professor of School of Computer Science and Technology at Harbin Institute of Technology, Shenzhen.
- Previously: PhD, School of Computer Science and Engineering, Nanyang Technological University
- Advisor: Gao Cong
- Office: Info-Tech Building 1906, HIT Campus, University Town of Shenzhen
- Email: lixiucheng [at] hit.edu.cn; xli055 [at] e.ntu.edu.sg
Research interests and group
Machine learning and data mining, with a focus on sequence, graph, and probabilistic modeling:
- Time series data and spatiotemporal data modeling.
- Self-supervised learning, structured and interpretable representation learning.
- Graph and compact deep learning by exploring the underlying symmetry and structures.
- Probabilistic generative models.
You can learn more about me in my posts.
I am very glad to work with some excellent students at HITSZ. Self-motivated undergraduate students with strong programming skills and solid math background are welcome, feel free to drop me an email and attach your cv if you are interested.
Undergraduate students
Haokun Gui | (桂昊坤)\(\dagger\) | class of 2020@HITSZ | → PhD@Hong Kong University of Science and Technology (HKUST) |
Yuhang Xie | (谢宇航)\(\dagger\) | class of 2020@HITSZ | → PhD@The Chinese University of Hong Kong (CUHK) |
Xinya Liu | (刘欣雅) | class of 2020@HITSZ | → PhD@City University of Hong Kong (CityU) |
Hongyi Chen | (陈弘毅) | class of 2020@HITSZ | → Master@Harbin Institute of Technology, Shenzhen (HITSZ) |
\(\dagger\) co-supervised with Prof. Xinyang Chen.
Publications
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Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
Xiaodan Chen, Xiucheng Li✉, Xinyang Chen, Zhijun Li✉
Neural Information Processing Systems (NeurIPS), 2024 [PDF] [Code] -
Boosting Transferability and Discriminability for Time Series Domain Adaptation
Mingyang Liu, Xinyang Chen✉, Yang Shu✉, Xiucheng Li✉, Weili Guan, Liqiang Nie
Neural Information Processing Systems (NeurIPS), 2024 [PDF] [Code] -
Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment
Haokun Gui, Xiucheng Li✉, Xinyang Chen✉
International Conference on Machine Learning (ICML), 2024 [PDF] [Code] -
Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values
Xiaodan Chen, Xiucheng Li✉, Bo Liu, Zhijun Li✉
International Conference on Learning Representations (ICLR), 2024 [PDF] [Code] -
A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting
Yue Jiang, Xiucheng Li✉, Yile Chen, Shuai Liu, Weilong Kong, Gao Cong
IEEE International Conference on Data Engineering (ICDE), 2024 [PDF] [Code] -
Optimizing Smartphone App Usage Prediction: A Click-Through Rate Ranking Approach
Yuqi Zhang, Meiying Kang, Xiucheng Li✉, Yu Qiu, Zhijun Li✉
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2024 [PDF] -
Multi-Label Action Anticipation for Real-World Videos with Scene Understanding
Yuqi Zhang, Xiucheng Li✉, Hao Xie, Weijun Zhuang, Shihui Guo, Zhijun Li✉
IEEE Transactions on Image Processing (TIP), 2024 [PDF] -
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction
Chi Zhang, Linhao Cai, Meng Chen, Xiucheng Li✉, Gao Cong
ACM Transactions on Knowledge Discovery from Data (TKDD), 2024 [PDF] -
Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning
Letian Gong, Huaiyu Wan, Shengnan Guo, Xiucheng Li, Yan Lin, Erwen Zheng, Tianyi Wang, Z. Zhou, Y. Lin
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 [PDF] -
Multivariate Time-series Imputation with Disentangled Temporal Representations
Shuai Liu, Xiucheng Li✉, Gao Cong, Yile Chen, Yue Jiang
International Conference on Learning Representations (ICLR), 2023 [PDF][Code] -
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks
Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
International Conference on Very Large Data Bases (VLDB), 2022 [PDF] -
Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics
Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao
The Conference on Information and Knowledge Management (CIKM), 2021 [PDF] -
Similar Trajectory Search with Spatio-temporal Deep Representation Learning
David A. Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Choudhury, Kai Qin
ACM Transactions on Intelligent Systems and Technology (TIST), 2021 [PDF] -
Sinkhorn Collaborative Filtering
Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong
International World Wide Web Conference (WWW), 2021 [PDF] [Code] -
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting
Shengnan Guo, Youfang Lin, Huaiyu Wan, Xiucheng Li, Gao Cong
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 [PDF] -
Spatial Transition Learning on Road Networks with Deep Probabilistic Models
Xiucheng Li, Gao Cong, Yun Cheng
IEEE International Conference on Data Engineering (ICDE), 2021 [PDF] [Code] -
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models
Kaiqi Zhao, Gao Cong, Xiucheng Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 [PDF] -
Learning Travel Time Distributions with Deep Generative Models
Xiucheng Li, Gao Cong, Aixin Sun, Yun Cheng
International World Wide Web Conference (WWW), 2019 [PDF] [Code] -
Deep Representation Learning for Trajectory Similarity Computation
Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei
IEEE International Conference on Data Engineering (ICDE), 2018 [PDF] [Code] -
Latent Representation Model for Social Influence Embedding
Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Chee Yeow Meng
IEEE International Conference on Data Engineering (ICDE), 2018 [PDF] -
Discovering Pollution Sources and Propagation Patterns in Urban Area
Xiucheng Li, Yun Cheng, Gao Cong, Lisi Chen
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017 [PDF] -
Finding Dynamic Co-evolving Zones in Spatial-Temporal Time Series Data
Yun Cheng, Xiucheng Li, Yan Li
European Conference on Machine Learning and Data Mining (ECML-PKDD), 2016 [PDF] -
AirCloud: A Cloud-based Air-Quality Monitoring System for Everyone
Yun Cheng, Xiucheng Li, Zhijun Li, Shouxu Jiang, YiLong Li, Jia Ji, Xiaofan (Fred) Jiang
ACM Conference on Embedded Networked Sensor Systems (SenSys), 2014 [PDF]