Junfeng Hu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Fully Connected

Text Classification

Spatio Temporal Patterns

Top Venues

SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI

Publications

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