A Robust Unsupervised Method for the Single Channel Speech Separation. - Changsheng Zhu; Dongmin Huang; Sijin Zhou; Yifei Chen; Jiali Lin; Dazhi Jiang (CIS, 2019)

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. - Sijin Zhou; Xinyi Dai; Haokun Chen; Weinan Zhang 001; Kan Ren; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (SIGIR, 2020)

Objectivity meets subjectivity: A subjective and objective feature fused neural network for emotion recognition. - Sijin Zhou; Dongmin Huang; Cheng Liu 001; Dazhi Jiang (Appl. Soft Comput., 2022)

Generator-based Domain Adaptation Method with Knowledge Free for Cross-subject EEG Emotion Recognition. - Dongmin Huang; Sijin Zhou; Dazhi Jiang (Cogn. Comput., 2022)

Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. - Guoqiang Sun; Yibin Shen; Sijin Zhou; Xiang Chen 017; Hongyan Liu 001; Chunming Wu 001; Chenyi Lei; Xianhui Wei; Fei Fang 002 (AAAI, 2023)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. - Feilong Tang; Chengzhi Liu; Zhongxing Xu; Ming Hu; Zile Huang; Haochen Xue; Ziyang Chen 003; Zelin Peng; Zhiwei Yang; Sijin Zhou; Wenxue Li; Yulong Li; et al. (CVPR, 2025)

Delving into Out-of-Distribution Detection with Medical Vision-Language Models. - Lie Ju; Sijin Zhou; Yukun Zhou; Huimin Lu 001; Zhuoting Zhu; Pearse A. Keane; Zongyuan Ge (CoRR, 2025)

Federated Out-of-Distribution Generalization: A Causal Augmentation View. - Runhui Zhang; Sijin Zhou; Zhuang Qi (CoRR, 2025)

Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization. - Zhuang Qi; Sijin Zhou; Lei Meng 001; Han Hu 003; Han Yu 001; Xiangxu Meng (CoRR, 2025)

Neighbor-Guided Unbiased Framework for Generalized Category Discovery in Medical Image Classification. - Wei Feng 015; Sijin Zhou; Yiwen Jiang; Feilong Tang; Zongyuan Ge (IEEE J. Biomed. Health Informatics, 2025)