Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Lina Yao 001; Chengqi Zhang (IJCAI, 2019)

Learning to Propagate for Graph Meta-Learning. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (NeurIPS, 2019)

Attribute Propagation Network for Graph Zero-Shot Learning. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (AAAI, 2020)

Interpretable Time-series Classification on Few-shot Samples. - Wensi Tang; Lu Liu 019; Guodong Long (IJCNN, 2020)

Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline. - Wensi Tang; Guodong Long; Lu Liu 019; Tianyi Zhou 001; Jing Jiang 002; Michael Blumenstein (CoRR, 2020)

A Universal Representation Transformer Layer for Few-Shot Image Classification. - Lu Liu 019; William L. Hamilton; Guodong Long; Jing Jiang 002; Hugo Larochelle (ICLR, 2021)

Isometric Propagation Network for Generalized Zero-shot Learning. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Xuanyi Dong; Chengqi Zhang (ICLR, 2021)

Recognizing Vector Graphics without Rasterization. - Xinyang Jiang; Lu Liu 019; Caihua Shan; Yifei Shen; Xuanyi Dong; Dongsheng Li 002 (NeurIPS, 2021)

FedProto: Federated Prototype Learning over Heterogeneous Devices. - Yue Tan; Guodong Long; Lu Liu 019; Tianyi Zhou 001; Jing Jiang 002 (CoRR, 2021)

Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision. - Bo Li 080; Xinyang Jiang; Donglin Bai; Yuge Zhang; Ningxin Zheng; Xuanyi Dong; Lu Liu 019; Yuqing Yang 001; Dongsheng Li 002 (CoRR, 2021)

Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. - Xiaohan Zhang; Lu Liu 019; Guodong Long; Jing Jiang 002; Shenquan Liu (Neural Networks, 2021)

FedProto: Federated Prototype Learning across Heterogeneous Clients. - Yue Tan; Guodong Long; Lu Liu 019; Tianyi Zhou 001; Qinghua Lu 001; Jing Jiang 002; Chengqi Zhang (AAAI, 2022)

Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification. - Wensi Tang; Guodong Long; Lu Liu 019; Tianyi Zhou 001; Michael Blumenstein; Jing Jiang 002 (ICLR, 2022)

Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. - Yue Tan; Guodong Long; Jie Ma; Lu Liu 019; Tianyi Zhou 001; Jing Jiang 002 (NeurIPS, 2022)

NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size. - Xuanyi Dong; Lu Liu 019; Katarzyna Musial; Bogdan Gabrys (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2022)

Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset. - Shuguang Dou; Xinyang Jiang; Lu Liu 019; Lu Ying; Caihua Shan; Yifei Shen; Xuanyi Dong; Yun Wang 012; Dongsheng Li 002; Cairong Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)