Guo, Li

22 publications

TMLR 2025 Cross Entropy Versus Label Smoothing: A Neural Collapse Perspective Li Guo, George Andriopoulos, Zifan Zhao, Zixuan Dong, Shuyang Ling, Keith W. Ross

AAAI 2025 Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition Changwei Wang, Shunpeng Chen, Yukun Song, Rongtao Xu, Zherui Zhang, Jiguang Zhang, Haoran Yang, Yu Zhang, Kexue Fu, Shide Du, Zhiwei Xu, Longxiang Gao, Li Guo, Shibiao Xu

ICML 2025 Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of a System of Hyperbolic Partial Differential Equations Juwei Yue, Haikuo Li, Jiawei Sheng, Xiaodong Li, Taoyu Su, Tingwen Liu, Li Guo

CoLLAs 2024 Enhanced Label Propagation Through Affinity Matrix Fusion for Source-Free Domain Adaptation Li Guo, Yuxuan Xia, Shengjie Wang

CVPRW 2024 QuantNAS: Quantization-Aware Neural Architecture Search for Efficient Deployment on Mobile Device Tianxiao Gao, Li Guo, Shanwei Zhao, Peihan Xu, Yukun Yang, Xionghao Liu, Shihao Wang, Shiai Zhu, Dajiang Zhou

AAAI 2024 Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation Wenhao Xu, Rongtao Xu, Changwei Wang, Shibiao Xu, Li Guo, Man Zhang, Xiaopeng Zhang

NeurIPS 2024 The Prevalence of Neural Collapse in Neural Multivariate Regression George Andriopoulos, Zixuan Dong, Li Guo, Zifan Zhao, Keith Ross

IJCAI 2023 Accurate MRI Reconstruction via Multi-Domain Recurrent Networks Jinbao Wei, Zhijie Wang, Kongqiao Wang, Li Guo, Xueyang Fu, Ji Liu, Xun Chen

CVPR 2023 Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy Hospedales

CVPRW 2021 Perceptual Image Compression Using Relativistic Average Least Squares GANs Zhengxue Cheng, Ting Fu, Jiapeng Hu, Li Guo, Shihao Wang, Xiongxin Zhao, Dajiang Zhou, Yang Song

AAAI 2020 A Knowledge-Aware Attentional Reasoning Network for Recommendation Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo

IJCAI 2020 A Relation-Specific Attention Network for Joint Entity and Relation Extraction Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo

AAAI 2020 Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo

AAAI 2019 DAN: Deep Attention Neural Network for News Recommendation Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo

IJCAI 2019 Deep Active Learning for Anchor User Prediction Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo

IJCAI 2019 Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo

AAAI 2018 Knowledge Graph Embedding with Iterative Guidance from Soft Rules Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo

AAAI 2018 Social Recommendation with an Essential Preference Space Chun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo

AAAI 2016 On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks Chuan Zhou, Weixue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo

IJCAI 2015 Knowledge Base Completion Using Embeddings and Rules Quan Wang, Bin Wang, Li Guo

AAAI 2014 Combining Heterogenous Social and Geographical Information for Event Recommendation Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo, Binxing Fang

AAAI 2014 Event Recommendation in Event-Based Social Networks Zhi Qiao, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo, Yanchuan Zhang