Hong, Shenda

18 publications

ICLR 2025 Dist Loss: Enhancing Regression in Few-Shot Region Through Distribution Distance Constraint Guangkun Nie, Gongzheng Tang, Shenda Hong

NeurIPS 2025 GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images Xiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng

ICLR 2025 Reading Your Heart: Learning ECG Words and Sentences via Pre-Training ECG Language Model Jiarui Jin, Haoyu Wang, Hongyan Li, Jun Li, Jiahui Pan, Shenda Hong

NeurIPS 2024 Retrieval-Augmented Diffusion Models for Time Series Forecasting Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong

ECML-PKDD 2024 Synthesis of Standard 12-Lead ECG from Single-Lead ECG Using Shifted Diffusion Models Jingwei Liu, Hongyan Li, Shenda Hong

ICLR 2024 TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong

ICLR 2024 Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng

ICLR 2024 VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec

NeurIPS 2023 Improving Diffusion-Based Image Synthesis with Context Prediction Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui

IJCAI 2022 Hypergraph Structure Learning for Hypergraph Neural Networks Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li

AAAI 2022 Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng

ICML 2022 Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning Ling Yang, Shenda Hong

ICML 2022 Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion Ling Yang, Shenda Hong

IJCAI 2021 TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data Chenxi Sun, Shenda Hong, Moxian Song, Yen-hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li

IJCAI 2019 K-Margin-Based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie

IJCAI 2019 MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

IJCAI 2019 RDPD: Rich Data Helps Poor Data via Imitation Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun

ACML 2018 Knowledge Guided Multi-Instance Multi-Label Learning via Neural Networks in Medicines Prediction Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li