Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training. - Qianxiong Xu; Sijie Ruan; Cheng Long 001; Liang Yu 005; Chen Zhang 013 (CIKM, 2022)

Modeling Trajectories with Multi-task Learning. - Kaijun Liu; Sijie Ruan; Qianxiong Xu; Cheng Long 001; Nan Xiao 001; Nan Hu; Liang Yu 005; Sinno Jialin Pan (MDM, 2022)

Self-Calibrated Cross Attention Network for Few-Shot Segmentation. - Qianxiong Xu; Wenting Zhao 001; Guosheng Lin; Cheng Long 001 (ICCV, 2023)

Road Extraction With Satellite Images and Partial Road Maps. - Qianxiong Xu; Cheng Long 001; Liang Yu 005; Chen Zhang 013 (IEEE Trans. Geosci. Remote. Sens., 2023)

Eliminating Feature Ambiguity for Few-Shot Segmentation. - Qianxiong Xu; Guosheng Lin; Chen Change Loy; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (ECCV (3), 2024)

Spatial-Temporal Large Language Model for Traffic Prediction. - Chenxi Liu 003; Sun Yang; Qianxiong Xu; Zhishuai Li; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (MDM, 2024)

Hybrid Mamba for Few-Shot Segmentation. - Qianxiong Xu; Xuanyi Liu; Lanyun Zhu; Guosheng Lin; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (NeurIPS, 2024)

TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment. - Chenxi Liu 003; Qianxiong Xu; Hao Miao 001; Sun Yang; Lingzheng Zhang; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (CoRR, 2024)

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment. - Chenxi Liu 003; Qianxiong Xu; Hao Miao 001; Sun Yang; Lingzheng Zhang; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (AAAI, 2025)

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy. - Qianxiong Xu; Cheng Long 001; Ziyue Li 002; Sijie Ruan; Rui Zhao 001; Zhishuai Li (AAAI, 2025)

POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation. - Lanyun Zhu; Tianrun Chen; Qianxiong Xu; Xuanyi Liu; Deyi Ji; Haiyang Wu; De Wen Soh; Jun Liu 036 (CVPR, 2025)

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation. - Chenxi Liu 003; Hao Miao 001; Qianxiong Xu; Shaowen Zhou; Cheng Long 001; Yan Zhao 008; Ziyue Li 002; Rui Zhao 001 (ICDE, 2025)

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning. - Qiuyu Zhu 002; Liang Zhang; Qianxiong Xu; Kaijun Liu; Cheng Long 001; Xiaoyang Wang 002 (WSDM, 2025)

HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks. - Qiuyu Zhu; Liang Zhang; Qianxiong Xu; Cheng Long (CoRR, 2025)

Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era. - Chenxi Liu 003; Shaowen Zhou; Qianxiong Xu; Hao Miao 001; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (CoRR, 2025)

SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache. - Qiuyu Zhu; Liang Zhang; Qianxiong Xu; Cheng Long; Jie Zhang (CoRR, 2025)

Unlocking the Power of SAM 2 for Few-Shot Segmentation. - Qianxiong Xu; Lanyun Zhu; Xuanyi Liu; Guosheng Lin; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (CoRR, 2025)

SAMITE: Position Prompted SAM2 with Calibrated Memory for Visual Object Tracking. - Qianxiong Xu; Lanyun Zhu; Chenxi Liu 003; Guosheng Lin; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (CoRR, 2025)

ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction. - Chenxi Liu 003; Kethmi Hirushini Hettige; Qianxiong Xu; Cheng Long 001; Shili Xiang; Gao Cong; Ziyue Li 002; Rui Zhao 001 (IEEE Trans. Knowl. Data Eng., 2025)