Lu, Sanglu

18 publications

IJCAI 2025 Aggregation Mechanism Based Graph Heterogeneous Networks Distillation Xiaobin Hong, Mingkai Lin, Xiangkai Ma, Wenzhong Li, Sanglu Lu
AAAI 2025 Contextual Structure Knowledge Transfer for Graph Neural Networks Zhiyuan Yu, Wenzhong Li, Zhangyue Yin, Xiaobin Hong, Shijian Xiao, Sanglu Lu
NeurIPS 2025 MixSignGraph: A Sign Sequence Is Worth Mixed Graphs of Nodes Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Lei Xie, Sanglu Lu, Hongkai Wen
IJCAI 2025 QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer Yimiao Shao, Wenzhong Li, Kang Xia, Kaijie Lin, Mingkai Lin, Sanglu Lu
AAAI 2025 Unified Graph Neural Networks Pre-Training for Multi-Domain Graphs Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu
AAAI 2024 Label Attentive Distillation for GNN-Based Graph Classification Xiaobin Hong, Wenzhong Li, Chaoqun Wang, Mingkai Lin, Sanglu Lu
CVPR 2024 SignGraph: A Sign Sequence Is Worth Graphs of Nodes Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Hongkai Wen, Lei Xie, Sanglu Lu
IJCAI 2023 Contrastive Learning for Sign Language Recognition and Translation Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Kang Xia, Lei Xie, Sanglu Lu
JAIR 2023 Fair Influence Maximization in Large-Scale Social Networks Based on Attribute-Aware Reverse Influence Sampling Mingkai Lin, Lintan Sun, Rui Yang, Xusheng Liu, Yajuan Wang, Ding Li, Wenzhong Li, Sanglu Lu
CVPR 2023 Federated Learning with Data-Agnostic Distribution Fusion Jian-hui Duan, Wenzhong Li, Derun Zou, Ruichen Li, Sanglu Lu
AAAI 2023 Multi-Domain Generalized Graph Meta Learning Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu
AAAI 2023 PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search Yuchu Fang, Wenzhong Li, Yao Zeng, Yang Zheng, Zheng Hu, Sanglu Lu
ECML-PKDD 2021 FedDNA: Federated Learning with Decoupled Normalization-Layer Aggregation for Non-IID Data Jian-Hui Duan, Wenzhong Li, Sanglu Lu
ACML 2021 Iterative Deep Model Compression and Acceleration in the Frequency Domain Yao Zeng, Xusheng Liu, Lintan Sun, Wenzhong Li, Yuchu Fang, Sanglu Lu
ACML 2020 FIREPruning: Learning-Based Filter Pruning for Convolutional Neural Network Compression Yuchu Fang, Wenzhong Li, Yao Zeng, Sanglu Lu
IJCAI 2019 AttnSense: Multi-Level Attention Mechanism for Multimodal Human Activity Recognition Haojie Ma, Wenzhong Li, Xiao Zhang, Songcheng Gao, Sanglu Lu
IJCAI 2018 Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu
ECML-PKDD 2016 Structure Pattern Analysis and Cascade Prediction in Social Networks Bolei Zhang, Zhuzhong Qian, Sanglu Lu