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2020 – today
- 2026
[j4]Dongmin Huang
, Dazhi Jiang, Sijin Zhou, Liang Chen, Jiali Lin, Erik Cambria:
Emotional lateralization-inspired spatiotemporal neural networks for EEG-based emotion recognition. Inf. Fusion 129: 104053 (2026)- 2025
- [j3]Wei Feng, Sijin Zhou, Yiwen Jiang, Feilong Tang, Zongyuan Ge:
Neighbor-Guided Unbiased Framework for Generalized Category Discovery in Medical Image Classification. IEEE J. Biomed. Health Informatics 29(8): 5736-5747 (2025) - [c6]Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zile Huang, Haochen Xue, Ziyang Chen, Zelin Peng, Zhiwei Yang, Sijin Zhou, Wenxue Li, Yulong Li, Wenxuan Song, Shiyan Su, Wei Feng, Jionglong Su, Mingquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge:
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. CVPR 2025: 26147-26159 - [c5]Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Han Yu, Xiangxu Meng:
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization. IJCAI 2025: 6084-6092 - [c4]Lie Ju, Sijin Zhou, Yukun Zhou, Huimin Lu, Zhuoting Zhu, Pearse A. Keane, Zongyuan Ge:
Delving Into Out-of-Distribution Detection with Medical Vision-Language Models. MICCAI (5) 2025: 133-143 - [i6]Lie Ju, Sijin Zhou, Yukun Zhou, Huimin Lu, Zhuoting Zhu, Pearse A. Keane, Zongyuan Ge:
Delving into Out-of-Distribution Detection with Medical Vision-Language Models. CoRR abs/2503.01020 (2025) - [i5]Runhui Zhang, Sijin Zhou, Zhuang Qi:
Federated Out-of-Distribution Generalization: A Causal Augmentation View. CoRR abs/2504.19882 (2025) - [i4]Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Han Yu, Xiangxu Meng:
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization. CoRR abs/2505.04979 (2025) - [i3]Zhuang Qi, Pan Yu, Lei Meng, Sijin Zhou, Han Yu, Xiaoxiao Li, Xiangxu Meng:
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning. CoRR abs/2509.22700 (2025) - 2023
- [c3]Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang:
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. AAAI 2023: 4614-4622 - [i2]Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang:
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. CoRR abs/2302.14438 (2023) - 2022
- [j2]Sijin Zhou, Dongmin Huang, Cheng Liu, Dazhi Jiang:
Objectivity meets subjectivity: A subjective and objective feature fused neural network for emotion recognition. Appl. Soft Comput. 122: 108889 (2022) - [j1]Dongmin Huang, Sijin Zhou, Dazhi Jiang:
Generator-based Domain Adaptation Method with Knowledge Free for Cross-subject EEG Emotion Recognition. Cogn. Comput. 14(4): 1316-1327 (2022) - 2020
- [c2]Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu:
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR 2020: 179-188 - [i1]Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu:
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. CoRR abs/2006.10389 (2020)
2010 – 2019
- 2019
- [c1]Changsheng Zhu, Dongmin Huang, Sijin Zhou, Yifei Chen, Jiali Lin, Dazhi Jiang:
A Robust Unsupervised Method for the Single Channel Speech Separation. CIS 2019: 387-390
Coauthor Index
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