Junfeng Hu

22 papers A* 3A 3B 1C 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference.
IEEE Trans. Neural Networks Learn. Syst.
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Li Liu, Yifang Yin, Roger Zimmermann
2024 A conf
Prompt-Based Spatio-Temporal Graph Transfer Learning.
CIKM
Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann
2024 J jnl
Prompt-Enhanced Spatio-Temporal Graph Transfer Learning.
CoRR
Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann
2024 — conf
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning.
SIGSPATIAL/GIS
Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann
2024 A* conf
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.
WWW
Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
2023 A* conf
Graph Neural Processes for Spatio-Temporal Extrapolation.
KDD
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann
2023 J jnl
Graph Neural Processes for Spatio-Temporal Extrapolation.
CoRR
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann
2023 A* conf
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.
NeurIPS
Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
2023 J jnl
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.
CoRR
Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
2023 J jnl
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning.
CoRR
Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann
2023 J jnl
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.
CoRR
Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
2022 C conf
On the Episodic Difficulty of Few-shot Learning.
ACML
Yunwei Bai, Zhenfeng He, Junfeng Hu
2022 A conf
Parallel Edge-Image Learning for Image Inpainting.
ICME
Junfeng Hu, Chengxin Wang, Ying Zhang, Li Liu, Yifang Yin, Roger Zimmermann
2021 J jnl
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference.
CoRR
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Yifang Yin, Ying Zhang, Roger Zimmermann
2020 A conf
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network.
ECAI
Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu
2020 B conf
RCapsNet: A Recurrent Capsule Network for Text Classification.
IJCNN
Junfeng Hu, Jun Liao, Li Liu, Wenchao Ma
2020 — conf
Recognizing Complex Activities by a Temporal Causal Network-Based Model.
ECML/PKDD (4)
Jun Liao, Junfeng Hu, Li Liu
2019 — conf
Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope.
KSEM (1)
Wenchao Ma, Junfeng Hu, Jun Liao, Zhencheng Fan, Jianjun Wu, Li Liu
2019 — conf
Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Jun Liao, Dandan Liu, Junfeng Hu, Yande Li, Aamir Khan, Li Liu, Qingyu Xiong, Junhao Wen
2019 J jnl
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network.
CoRR
Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu
2018 — conf
A Survey on Vision-Based Hand Gesture Recognition.
ICSM
Taiqian Wang, Yande Li, Junfeng Hu, Aamir Khan, Li Liu, Caihong Li, Ammarah Hashmi, Mengyuan Ran
2018 — conf
Recognizing Character-Matching CAPTCHA Using Convolutional Neural Networks with Triple Loss.
KSEM (2)
Junfeng Hu, Wenchao Ma, Aamir Khan, Li Liu