Junfeng Hu

According to our database, Junfeng Hu authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Prompt-Enhanced Spatio-Temporal Graph Transfer Learning.

Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann

CoRR, 2024

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.

Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann

Proceedings of the ACM on Web Conference 2024, 2024

2023

Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning.

Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann

CoRR, 2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.

Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Neural Processes for Spatio-Temporal Extrapolation.

Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Parallel Edge-Image Learning for Image Inpainting.

Junfeng Hu, Chengxin Wang, Ying Zhang, Li Liu, Yifang Yin, Roger Zimmermann

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

On the Episodic Difficulty of Few-shot Learning.

Yunwei Bai, Zhenfeng He, Junfeng Hu

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference.

Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Yifang Yin, Ying Zhang, Roger Zimmermann

CoRR, 2021

2020

Recognizing Complex Activities by a Temporal Causal Network-Based Model.

Jun Liao, Junfeng Hu, Li Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

RCapsNet: A Recurrent Capsule Network for Text Classification.

Junfeng Hu, Jun Liao, Li Liu, Wenchao Ma

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network.

Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature.

Jun Liao, Dandan Liu, Junfeng Hu, Yande Li, Aamir Khan, Li Liu, Qingyu Xiong, Junhao Wen

Proceedings of the 2019 IEEE SmartWorld, 2019

Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope.

Wenchao Ma, Junfeng Hu, Jun Liao, Zhencheng Fan, Jianjun Wu, Li Liu

Proceedings of the Knowledge Science, Engineering and Management, 2019

2018

Recognizing Character-Matching CAPTCHA Using Convolutional Neural Networks with Triple Loss.

Junfeng Hu, Wenchao Ma, Aamir Khan, Li Liu

Proceedings of the Knowledge Science, Engineering and Management, 2018

A Survey on Vision-Based Hand Gesture Recognition.

Taiqian Wang, Yande Li, Junfeng Hu, Aamir Khan, Li Liu, Caihong Li, Ammarah Hashmi, Mengyuan Ran

Proceedings of the Smart Multimedia - First International Conference, 2018