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2020 – today
- 2024
[j6]Yuqi Zhang
, Xiucheng Li, Hao Xie, Weijun Zhuang, Shihui Guo, Zhijun Li:
Multi-Label Action Anticipation for Real-World Videos With Scene Understanding. IEEE Trans. Image Process. 33: 3242-3255 (2024)- [j5]Chi Zhang, Linhao Cai, Meng Chen, Xiucheng Li, Gao Cong:
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction. ACM Trans. Knowl. Discov. Data 18(6): 148:1-148:26 (2024) - [c18]Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong:
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. EMNLP (Findings) 2024: 1810-1825 - [c17]Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong:
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. ICDE 2024: 1255-1268 - [c16]Xiaodan Chen, Xiucheng Li, Bo Liu, Zhijun Li:
Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values. ICLR 2024 - [c15]Haokun Gui, Xiucheng Li, Xinyang Chen:
Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment. ICML 2024 - [c14]Yuqi Zhang, Meiying Kang, Xiucheng Li, Yu Qiu, Zhijun Li:
Optimizing Smartphone App Usage Prediction: A Click-Through Rate Ranking Approach. KDD 2024: 6281-6290 - [i5]Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long:
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. CoRR abs/2403.11495 (2024) - [i4]Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong:
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. CoRR abs/2406.12282 (2024) - [i3]Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong:
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. CoRR abs/2406.12360 (2024) - [i2]Letian Gong, Huaiyu Wan, Shengnan Guo, Xiucheng Li, Yan Lin, Erwen Zheng, Tianyi Wang, Zeyu Zhou, Youfang Lin:
Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning. CoRR abs/2407.15899 (2024) - 2023
- [c13]Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang:
Multivariate Time-series Imputation with Disentangled Temporal Representations. ICLR 2023 - 2022
- [j4]Kaiqi Zhao, Gao Cong, Xiucheng Li:
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models. IEEE Trans. Knowl. Data Eng. 34(2): 881-893 (2022) - [j3]Shengnan Guo, Youfang Lin, Huaiyu Wan, Xiucheng Li, Gao Cong:
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting. IEEE Trans. Knowl. Data Eng. 34(11): 5415-5428 (2022) - [i1]Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang:
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. CoRR abs/2202.13686 (2022) - 2021
- [j2]Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang:
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. Proc. VLDB Endow. 15(3): 504-512 (2021) - [j1]David Alexander Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Murtaza Choudhury, A. Kai Qin:
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning. ACM Trans. Intell. Syst. Technol. 12(6): 77:1-77:26 (2021) - [c12]Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison:
Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. CIKM 2021: 211-220 - [c11]Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong:
Sinkhorn Collaborative Filtering. WWW 2021: 582-592 - 2020
- [c10]Xiucheng Li, Gao Cong, Yun Cheng:
Spatial Transition Learning on Road Networks with Deep Probabilistic Models. ICDE 2020: 349-360
2010 – 2019
- 2019
- [b1]Xiucheng Li:
Differentiable generative models for trajectory data analytics. Nanyang Technological University, Singapore, 2019 - [c9]Xiucheng Li, Gao Cong, Aixin Sun, Yun Cheng:
Learning Travel Time Distributions with Deep Generative Model. WWW 2019: 1017-1027 - 2018
- [c8]Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei:
Deep Representation Learning for Trajectory Similarity Computation. ICDE 2018: 617-628 - [c7]Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee:
Inf2vec: Latent Representation Model for Social Influence Embedding. ICDE 2018: 941-952 - 2017
- [c6]Xiucheng Li, Yun Cheng, Gao Cong, Lisi Chen:
Discovering Pollution Sources and Propagation Patterns in Urban Area. KDD 2017: 1863-1872 - 2016
- [c5]Yun Cheng, Xiucheng Li, Yan Li:
Finding Dynamic Co-evolving Zones in Spatial-Temporal Time Series Data. ECML/PKDD (3) 2016: 129-144 - 2015
- [c4]Yilong Li, Yu Wang, Yun Cheng, Xiucheng Li, Guoliang Xing:
QiLoc: A Qi wireless charging based system for robust user-initiated indoor location services. SECON 2015: 480-488 - 2014
- [c3]Yun Cheng, Xiucheng Li, Zhijun Li, Shouxu Jiang, Xiaofan Jiang:
Fine-Grained Air Quality Monitoring Based on Gaussian Process Regression. ICONIP (2) 2014: 126-134 - [c2]Yilong Li, Yun Cheng, Xiucheng Li, Yu Wang, Guoliang Xing, Xiaofan Jiang:
QiLoc - a Qi-wireless based platform for robust user-initiated indoor location services: demo abstract. BuildSys@SenSys 2014: 184-185 - [c1]Yun Cheng, Xiucheng Li, Zhijun Li, Shouxu Jiang, Yilong Li, Ji Jia, Xiaofan Jiang:
AirCloud: a cloud-based air-quality monitoring system for everyone. SenSys 2014: 251-265
Coauthor Index
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