Iterative Residual Feature Refinement Network for Bit-Depth Enhancement. - Weizhi Nie; Xin Wen 017; Jing Liu 002; Yuting Su 001 (IEEE Signal Process. Lett., 2022)

Residual-Guided Multiscale Fusion Network for Bit-Depth Enhancement. - Jing Liu 002; Xin Wen 017; Weizhi Nie; Yuting Su 001; Peiguang Jing; Xiaokang Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

MRFT: Multiscale Recurrent Fusion Transformer Based Prior Knowledge for Bit-Depth Enhancement. - Xin Wen 017; Weizhi Nie; Jing Liu 002; Yuting Su 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Knowledge-Enhanced Causal Reinforcement Learning Model for Interactive Recommendation. - Weizhi Nie; Xin Wen 017; Jing Liu 002; Jiawei Chen 007; Jiancan Wu; Guoqing Jin; Jing Lu; An-An Liu (IEEE Trans. Multim., 2024)

CDCM: ChatGPT-Aided Diversity-Aware Causal Model for Interactive Recommendation. - Xin Wen 017; Weizhi Nie; Jing Liu 002; Yuting Su 001; Yongdong Zhang 001; An-An Liu (IEEE Trans. Multim., 2024)

Privacy-preserving Multi-source Cross-domain Recommendation Based on Knowledge Graph. - Jing Liu 002; Litao Shang; Yuting Su 001; Weizhi Nie; Xin Wen 017; Anan Liu (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Disentangled Denoising and Counterfactual Balance for Multimodal Recommendation. - Xin Wen 017; Weizhi Nie; Jing Liu 002; Ning Zhang; Yu-Ting Su 001; An-An Liu (IEEE Trans. Multim., 2025)

Causal Disentanglement for Tackling Popularity Bias in Sequential Recommendation. - An-An Liu; Yadong Zhao; Xin Wen 017; Rihao Chang; Weizhi Nie (IEEE Trans. Artif. Intell., 2026)