Rihao Chang

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal Disentanglement for Tackling Popularity Bias in Sequential Recommendation.
IEEE Trans. Artif. Intell.
An-An Liu, Yadong Zhao, Xin Wen, Rihao Chang, Weizhi Nie
2026 J jnl
Multilabel Chest X-Ray Image Classification via Category Disentangled Causal Learning.
IEEE Trans. Artif. Intell.
Qiang Li, Mengdi Liu, Rihao Chang, Weizhi Nie, Shaojin Bai, Anan Liu
2025 J jnl
Causal Disentanglement-Based Hidden Markov Model for Cross-Domain Bearing Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst.
Rihao Chang, Yongtao Ma, Weizhi Nie, Jie Nie, Yiqun Zhu, An-An Liu
2025 J jnl
Organ-Agents: Virtual Human Physiology Simulator via LLMs.
CoRR
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
2025 J jnl
SCDL: Sketch Causal Disentangled Learning for Sketch-Based 3D Shape Retrieval.
IEEE Trans. Circuits Syst. Video Technol.
Shaojin Bai, Yalu Li, Rihao Chang, Qi Liang, Weizhi Nie
2024 J jnl
3D shape knowledge graph for cross-domain 3D shape retrieval.
CAAI Trans. Intell. Technol.
Rihao Chang, Yongtao Ma, Tong Hao, Weijie Wang, Weizhi Nie
2024 J jnl
Multi-modal information fusion for LiDAR-based 3D object detection framework.
Multim. Tools Appl.
Ruixin Ma, Yong Yin, Jing Chen, Rihao Chang
2023 J jnl
CPG3D: Cross-Modal Priors Guided 3D Object Reconstruction.
IEEE Trans. Multim.
Weizhi Nie, Chuanqi Jiao, Rihao Chang, Lei Qu, An-An Liu
2023 J jnl
Causal Disentanglement Hidden Markov Model for Fault Diagnosis.
CoRR
Rihao Chang, Yongtao Ma, Weizhi Nie, Jie Nie, Anan Liu
2022 J jnl
3D Shape Knowledge Graph for Cross-domain and Cross-modal 3D Shape Retrieval.
CoRR
Weizhi Nie, Rihao Chang, Tong Hao, Anan Liu
2022 J jnl
I-GCN: Incremental Graph Convolution Network for Conversation Emotion Detection.
IEEE Trans. Multim.
Weizhi Nie, Rihao Chang, Minjie Ren, Yuting Su, Anan Liu