A Survey on Vision-Based Hand Gesture Recognition. - Taiqian Wang; Yande Li; Junfeng Hu 001; Aamir Khan; Li Liu 001; Caihong Li; Ammarah Hashmi; Mengyuan Ran (ICSM, 2018)

Recognizing Character-Matching CAPTCHA Using Convolutional Neural Networks with Triple Loss. - Junfeng Hu 001; Wenchao Ma; Aamir Khan; Li Liu 001 (KSEM (2), 2018)

Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope. - Wenchao Ma; Junfeng Hu 001; Jun Liao 001; Zhencheng Fan; Jianjun Wu; Li Liu 001 (KSEM (1), 2019)

Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature. - Jun Liao 001; Dandan Liu; Junfeng Hu 001; Yande Li; Aamir Khan; Li Liu 001; Qingyu Xiong; Junhao Wen 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. - Junfeng Hu 001; Zhencheng Fan; Jun Liao 001; Li Liu 001 (ECAI, 2020)

RCapsNet: A Recurrent Capsule Network for Text Classification. - Junfeng Hu 001; Jun Liao 001; Li Liu 001; Wenchao Ma (IJCNN, 2020)

Recognizing Complex Activities by a Temporal Causal Network-Based Model. - Jun Liao 001; Junfeng Hu 001; Li Liu 001 (ECML/PKDD (4), 2020)

Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference. - Junfeng Hu 001; Yuxuan Liang; Zhencheng Fan; Yifang Yin; Ying Zhang 047; Roger Zimmermann (CoRR, 2021)

On the Episodic Difficulty of Few-shot Learning. - Yunwei Bai; Zhenfeng He; Junfeng Hu 001 (ACML, 2022)

Parallel Edge-Image Learning for Image Inpainting. - Junfeng Hu 001; Chengxin Wang; Ying Zhang 047; Li Liu 001; Yifang Yin; Roger Zimmermann (ICME, 2022)

Graph Neural Processes for Spatio-Temporal Extrapolation. - Junfeng Hu 001; Yuxuan Liang; Zhencheng Fan; Hongyang Chen; Yu Zheng 004; Roger Zimmermann (KDD, 2023)

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. - Xu Liu 014; Yutong Xia; Yuxuan Liang; Junfeng Hu 001; Yiwei Wang 001; Lei Bai 001; Chao Huang 001; Zhenguang Liu; Bryan Hooi; Roger Zimmermann (NeurIPS, 2023)

Prompt-Based Spatio-Temporal Graph Transfer Learning. - Junfeng Hu 001; Xu Liu 014; Zhencheng Fan; Yifang Yin; Shili Xiang; Savitha Ramasamy; Roger Zimmermann (CIKM, 2024)

Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning. - Junfeng Hu 001; Xu Liu 014; Zhencheng Fan; Yuxuan Liang; Roger Zimmermann (SIGSPATIAL/GIS, 2024)

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. - Xu Liu 014; Junfeng Hu 001; Yuan Li 032; Shizhe Diao; Yuxuan Liang; Bryan Hooi; Roger Zimmermann (WWW, 2024)

Prompt-Enhanced Spatio-Temporal Graph Transfer Learning. - Junfeng Hu 001; Xu Liu 014; Zhencheng Fan; Yifang Yin; Shili Xiang; Savitha Ramasamy; Roger Zimmermann (CoRR, 2024)

Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference. - Junfeng Hu 001; Yuxuan Liang; Zhencheng Fan; Li Liu 001; Yifang Yin; Roger Zimmermann (IEEE Trans. Neural Networks Learn. Syst., 2024)