Xiucheng Li

According to our database, Xiucheng Li authored at least 27 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DeepMeshCity: A Deep Learning Model for Urban Grid Prediction.

Chi Zhang, Linhao Cai, Meng Chen, Xiucheng Li, Gao Cong

ACM Trans. Knowl. Discov. Data, July, 2024

Multi-Label Action Anticipation for Real-World Videos With Scene Understanding.

Yuqi Zhang, Xiucheng Li, Hao Xie, Weijun Zhuang, Shihui Guo, Zhijun Li

IEEE Trans. Image Process., 2024

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, Zeyu Zhou, Youfang Lin

CoRR, 2024

Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics.

Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long

CoRR, 2024

Optimizing Smartphone App Usage Prediction: A Click-Through Rate Ranking Approach.

Yuqi Zhang, Meiying Kang, Xiucheng Li, Yu Qiu, Zhijun Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment.

Haokun Gui, Xiucheng Li, Xinyang Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.

Xiaodan Chen, Xiucheng Li, Bo Liu, Zhijun Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting.

Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models.

Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Multivariate Time-series Imputation with Disentangled Temporal Representations.

Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

PGeoTopic: A Distributed Solution for Mining Geographical Topic Models.

Kaiqi Zhao, Gao Cong, Xiucheng Li

IEEE Trans. Knowl. Data Eng., 2022

Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting.

Shengnan Guo, Youfang Lin, Huaiyu Wan, Xiucheng Li, Gao Cong

IEEE Trans. Knowl. Data Eng., 2022

2021

Similar Trajectory Search with Spatio-Temporal Deep Representation Learning.

David Alexander Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Murtaza Choudhury, A. Kai Qin

ACM Trans. Intell. Syst. Technol., 2021

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

Proc. VLDB Endow., 2021

Sinkhorn Collaborative Filtering.

Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong

Proceedings of the WWW '21: The Web Conference 2021, 2021

Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics.

Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Spatial Transition Learning on Road Networks with Deep Probabilistic Models.

Xiucheng Li, Gao Cong, Yun Cheng

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Differentiable generative models for trajectory data analytics

Xiucheng Li

PhD thesis, 2019

Learning Travel Time Distributions with Deep Generative Model.

Xiucheng Li, Gao Cong, Aixin Sun, Yun Cheng

Proceedings of the World Wide Web Conference, 2019

2018

Deep Representation Learning for Trajectory Similarity Computation.

Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Inf2vec: Latent Representation Model for Social Influence Embedding.

Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Discovering Pollution Sources and Propagation Patterns in Urban Area.

Xiucheng Li, Yun Cheng, Gao Cong, Lisi Chen

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Finding Dynamic Co-evolving Zones in Spatial-Temporal Time Series Data.

Yun Cheng, Xiucheng Li, Yan Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

QiLoc: A Qi wireless charging based system for robust user-initiated indoor location services.

Yilong Li, Yu Wang, Yun Cheng, Xiucheng Li, Guoliang Xing

Proceedings of the 12th Annual IEEE International Conference on Sensing, 2015

2014

QiLoc - a Qi-wireless based platform for robust user-initiated indoor location services: demo abstract.

Yilong Li, Yun Cheng, Xiucheng Li, Yu Wang, Guoliang Xing, Xiaofan Jiang

Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 2014

AirCloud: a cloud-based air-quality monitoring system for everyone.

Yun Cheng, Xiucheng Li, Zhijun Li, Shouxu Jiang, Yilong Li, Ji Jia, Xiaofan Jiang

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems, 2014

Fine-Grained Air Quality Monitoring Based on Gaussian Process Regression.

Yun Cheng, Xiucheng Li, Zhijun Li, Shouxu Jiang, Xiaofan Jiang

Proceedings of the Neural Information Processing - 21st International Conference, 2014