3D Shape Knowledge Graph for Cross-domain and Cross-modal 3D Shape Retrieval. - Weizhi Nie; Rihao Chang; Tong Hao; Anan Liu (CoRR, 2022)

I-GCN: Incremental Graph Convolution Network for Conversation Emotion Detection. - Weizhi Nie; Rihao Chang; Minjie Ren; Yuting Su 001; Anan Liu (IEEE Trans. Multim., 2022)

Causal Disentanglement Hidden Markov Model for Fault Diagnosis. - Rihao Chang; Yongtao Ma; Weizhi Nie; Jie Nie; Anan Liu (CoRR, 2023)

CPG3D: Cross-Modal Priors Guided 3D Object Reconstruction. - Weizhi Nie; Chuanqi Jiao; Rihao Chang; Lei Qu; An-An Liu (IEEE Trans. Multim., 2023)

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)

Multi-modal information fusion for LiDAR-based 3D object detection framework. - Ruixin Ma; Yong Yin; Jing Chen; Rihao Chang (Multim. Tools Appl., 2024)

SCDL: Sketch Causal Disentangled Learning for Sketch-Based 3D Shape Retrieval. - Shaojin Bai; Yalu Li; Rihao Chang; Qi Liang 004; Weizhi Nie (IEEE Trans. Circuits Syst. Video Technol., 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 001; Xi Gao; et al. (CoRR, 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., 2025)