Qianxiong Xu

Orcid: 0000-0001-9175-6783

According to our database1, Qianxiong Xu authored at least 19 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction.
IEEE Trans. Knowl. Data Eng., August, 2025

SAMITE: Position Prompted SAM2 with Calibrated Memory for Visual Object Tracking.
CoRR, July, 2025

Unlocking the Power of SAM 2 for Few-Shot Segmentation.
CoRR, May, 2025

SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache.
CoRR, May, 2025

Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era.
CoRR, May, 2025

HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks.
CoRR, January, 2025

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment.
CoRR, 2024

Hybrid Mamba for Few-Shot Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Spatial-Temporal Large Language Model for Traffic Prediction.
Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

Eliminating Feature Ambiguity for Few-Shot Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Road Extraction With Satellite Images and Partial Road Maps.
IEEE Trans. Geosci. Remote. Sens., 2023

Self-Calibrated Cross Attention Network for Few-Shot Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Modeling Trajectories with Multi-task Learning.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022


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