We stand with Ukraine

We stand with Ukraine

Xiucheng Li

Orcid: 0009-0006-4145-6698

According to our database¹, Xiucheng Li authored at least 44 papers between 2014 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Toward Learning Shift-Invariant Representations for Healthcare Series Classification.

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IEEE Trans. Knowl. Data Eng., May, 2026

S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting.

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Trans. Mach. Learn. Res., 2026

LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models.

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Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

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

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IEEE Trans. Mob. Comput., October, 2025

S<sup>2</sup>Transformer: Scalable Structured Transformers for Global Station Weather Forecasting.

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CoRR, September, 2025

Towards Scalable and Structured Spatiotemporal Forecasting.

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CoRR, September, 2025

Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series.

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IEEE Trans. Knowl. Data Eng., July, 2025

Multi-objective Large Language Model Alignment with Hierarchical Experts.

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CoRR, May, 2025

Knowledge Grafting of Large Language Models.

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CoRR, May, 2025

Exploring Translation Mechanism of Large Language Models.

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CoRR, February, 2025

A Survey on the Feedback Mechanism of LLM-based AI Agents.

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Curvature-aware Graph Attention for PDEs on Manifolds.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-Ray Classification.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Spatial-Temporal Cross-View Contrastive Pre-Training for Check-in Sequence Representation Learning.

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IEEE Trans. Knowl. Data Eng., December, 2024

DeepMeshCity: A Deep Learning Model for Urban Grid Prediction.

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

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

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IEEE Trans. Image Process., 2024

Boosting Transferability and Discriminability for Time Series Domain Adaptation.

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics.

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

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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.

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

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

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

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Antonis F. Lentzakis

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

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

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

2023

Multivariate Time-series Imputation with Disentangled Temporal Representations.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

PGeoTopic: A Distributed Solution for Mining Geographical Topic Models.

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IEEE Trans. Knowl. Data Eng., 2022

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

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IEEE Trans. Knowl. Data Eng., 2022

2021

Similar Trajectory Search with Spatio-Temporal Deep Representation Learning.

[DOI]

David Alexander Tedjopurnomo

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Farhana Murtaza Choudhury

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ACM Trans. Intell. Syst. Technol., 2021

Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks.

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Proc. VLDB Endow., 2021

Sinkhorn Collaborative Filtering.

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

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

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Arun Kumar Chandran

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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.

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

2019

Differentiable generative models for trajectory data analytics

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PhD thesis, 2019

Learning Travel Time Distributions with Deep Generative Model.

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Proceedings of the World Wide Web Conference, 2019

2018

Deep Representation Learning for Trajectory Similarity Computation.

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Christian S. Jensen

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

Inf2vec: Latent Representation Model for Social Influence Embedding.

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

2017

Discovering Pollution Sources and Propagation Patterns in Urban Area.

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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.

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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.

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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.

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

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

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

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

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

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