Rihao Chang

According to our database, Rihao Chang authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Causal Disentanglement-Based Hidden Markov Model for Cross-Domain Bearing Fault Diagnosis.

Rihao Chang, Yongtao Ma, Weizhi Nie, Jie Nie, Yiqun Zhu, An-An Liu

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Organ-Agents: Virtual Human Physiology Simulator via LLMs.

Rihao Chang, He Jiao, Weizhi Nie, Honglin Guo, Keliang Xie, Zhenhua Wu, Lina Zhao, Yunpeng Bai, Yongtao Ma, Lanjun Wang, Yuting Su, Xi Gao, Weijie Wang, Nicu Sebe, Bruno Lepri, Bingwei Sun

CoRR, August, 2025

SCDL: Sketch Causal Disentangled Learning for Sketch-Based 3D Shape Retrieval.

Shaojin Bai, Yalu Li, Rihao Chang, Qi Liang, Weizhi Nie

IEEE Trans. Circuits Syst. Video Technol., July, 2025

2024

Multi-modal information fusion for LiDAR-based 3D object detection framework.

Ruixin Ma, Yong Yin, Jing Chen, Rihao Chang

Multim. Tools Appl., January, 2024

3D shape knowledge graph for cross-domain 3D shape retrieval.

Rihao Chang, Yongtao Ma, Tong Hao, Weijie Wang, Weizhi Nie

CAAI Trans. Intell. Technol., 2024

2023

CPG3D: Cross-Modal Priors Guided 3D Object Reconstruction.

Weizhi Nie, Chuanqi Jiao, Rihao Chang, Lei Qu, An-An Liu

IEEE Trans. Multim., 2023

Causal Disentanglement Hidden Markov Model for Fault Diagnosis.

Rihao Chang, Yongtao Ma, Weizhi Nie, Jie Nie, Anan Liu

CoRR, 2023

2022

I-GCN: Incremental Graph Convolution Network for Conversation Emotion Detection.

Weizhi Nie, Rihao Chang, Minjie Ren, Yuting Su, Anan Liu

IEEE Trans. Multim., 2022

3D Shape Knowledge Graph for Cross-domain and Cross-modal 3D Shape Retrieval.

Weizhi Nie, Rihao Chang, Tong Hao, Anan Liu

CoRR, 2022