Yu, Ge

11 publications

ICLR 2026 Automated Formalization via Conceptual Retrieval-Augmented LLMs Wangyue Lu, Lun Du, Sirui Li, Ke Weng, Haozhe Sun, Hengyu Liu, Minghe Yu, Tiancheng Zhang, Ge Yu

AAAI 2025 Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao, Minghan Chen

NeurIPS 2025 LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion Yuan Guo, Qian Ma, Hui Li, Qiao Ning, Furui Zhan, Yu Gu, Ge Yu, Shikai Guo

ECML-PKDD 2025 Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing Mingxing Shao, Tiancheng Zhang, Minghe Yu, Zhenghao Liu, Yifang Yin, Hengyu Liu, Ge Yu

NeurIPS 2025 ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation Pengcheng Huang, Zhenghao Liu, Yukun Yan, Haiyan Zhao, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong

IJCAI 2025 Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency Fan Li, Tiancheng Zhang, Yifang Yin, Minghe Yu, Mengxiang Wang, Ge Yu

ICLR 2025 RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong

AAAI 2023 Soft Target-Enhanced Matching Framework for Deep Entity Matching Wenzhou Dou, Derong Shen, Xiangmin Zhou, Tiezheng Nie, Yue Kou, Hang Cui, Ge Yu

ICLR 2023 Universal Vision-Language Dense Retrieval: Learning a Unified Representation Space for Multi-Modal Retrieval Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu

AAAI 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao

IJCAI 2015 Personalized Sentiment Classification Based on Latent Individuality of Microblog Users Kaisong Song, Shi Feng, Wei Gao, Daling Wang, Ge Yu, Kam-Fai Wong