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.
- Probabilistic generative models.
- Graph and compact deep learning by exploring the underlying symmetry and structures.
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 welcomed, 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
-
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 -
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 -
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] -
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] -
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]