Sijin Zhou - RankMe

18 papers A* 4C 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A General Model for Retinal Segmentation and Quantification. CoRR Zhonghua Wang, Lie Ju, Sijia Li, Wei Feng, Sijin Zhou, Ming Hu, Jianhao Xiong, Xiaoying Tang, Yifan Peng, Mingquan Lin, Yaodong Ding, Yong Zeng, Wenbin Wei, Li Dong, Zongyuan Ge
2026	J	`jnl`	Emotional lateralization-inspired spatiotemporal neural networks for EEG-based emotion recognition. Inf. Fusion Dongmin Huang, Dazhi Jiang, Sijin Zhou, Liang Chen, Jiali Lin, Erik Cambria
2026	J	`jnl`	TokenMixer-Large: Scaling Up Large Ranking Models in Industrial Recommenders. CoRR Yuchen Jiang, Jie Zhu, Xintian Han, Hui Lu, Kunmin Bai, Mingyu Yang, Shikang Wu, Ruihao Zhang, Wenlin Zhao, Shipeng Bai, Sijin Zhou, Huizhi Yang, Tianyi Liu, Wenda Liu, Ziyan Gong, Haoran Ding, Zheng Chai, Deping Xie, Zhe Chen, Yuchao Zheng, Peng Xu
2025	—	`conf`	Delving Into Out-of-Distribution Detection with Medical Vision-Language Models. MICCAI (5) Lie Ju, Sijin Zhou, Yukun Zhou, Huimin Lu, Zhuoting Zhu, Pearse A. Keane, Zongyuan Ge
2025	J	`jnl`	Delving into Out-of-Distribution Detection with Medical Vision-Language Models. CoRR Lie Ju, Sijin Zhou, Yukun Zhou, Huimin Lu, Zhuoting Zhu, Pearse A. Keane, Zongyuan Ge
2025	A*	`conf`	Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization. IJCAI Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Han Yu, Xiangxu Meng
2025	J	`jnl`	Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization. CoRR Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Han Yu, Xiangxu Meng
2025	J	`jnl`	Federated Out-of-Distribution Generalization: A Causal Augmentation View. CoRR Runhui Zhang, Sijin Zhou, Zhuang Qi
2025	J	`jnl`	Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning. CoRR Zhuang Qi, Pan Yu, Lei Meng, Sijin Zhou, Han Yu, Xiaoxiao Li, Xiangxu Meng
2025	J	`jnl`	Neighbor-Guided Unbiased Framework for Generalized Category Discovery in Medical Image Classification. IEEE J. Biomed. Health Informatics Wei Feng, Sijin Zhou, Yiwen Jiang, Feilong Tang, Zongyuan Ge
2025	A*	`conf`	Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. CVPR 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
2023	A*	`conf`	Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. AAAI Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang
2023	J	`jnl`	Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. CoRR Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang
2022	J	`jnl`	Generator-based Domain Adaptation Method with Knowledge Free for Cross-subject EEG Emotion Recognition. Cogn. Comput. Dongmin Huang, Sijin Zhou, Dazhi Jiang
2022	J	`jnl`	Objectivity meets subjectivity: A subjective and objective feature fused neural network for emotion recognition. Appl. Soft Comput. Sijin Zhou, Dongmin Huang, Cheng Liu, Dazhi Jiang
2020	A*	`conf`	Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2020	J	`jnl`	Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. CoRR Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2019	C	`conf`	A Robust Unsupervised Method for the Single Channel Speech Separation. CIS Changsheng Zhu, Dongmin Huang, Sijin Zhou, Yifei Chen, Jiali Lin, Dazhi Jiang