Lu Liu - RankMe

28 papers A* 9B 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset. IEEE Trans. Pattern Anal. Mach. Intell. Shuguang Dou, Xinyang Jiang, Lu Liu, Lu Ying, Caihua Shan, Yifei Shen, Xuanyi Dong, Yun Wang, Dongsheng Li, Cairong Zhao
2022	A*	`conf`	FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
2022	A*	`conf`	Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. NeurIPS Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
2022	J	`jnl`	Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. CoRR Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
2022	J	`jnl`	Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. IEEE Trans. Knowl. Data Eng. Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2022	J	`jnl`	NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size. IEEE Trans. Pattern Anal. Mach. Intell. Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys
2022	A*	`conf`	Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification. ICLR Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang
2021	A*	`conf`	A Universal Representation Transformer Layer for Few-Shot Image Classification. ICLR Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
2021	J	`jnl`	Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. CoRR Xiaohan Zhang, Lu Liu, Guodong Long, Jing Jiang, Shenquan Liu
2021	J	`jnl`	Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. Neural Networks Xiaohan Zhang, Lu Liu, Guodong Long, Jing Jiang, Shenquan Liu
2021	J	`jnl`	FedProto: Federated Prototype Learning over Heterogeneous Devices. CoRR Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang
2021	J	`jnl`	Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision. CoRR Bo Li, Xinyang Jiang, Donglin Bai, Yuge Zhang, Ningxin Zheng, Xuanyi Dong, Lu Liu, Yuqing Yang, Dongsheng Li
2021	A*	`conf`	Isometric Propagation Network for Generalized Zero-shot Learning. ICLR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
2021	J	`jnl`	Isometric Propagation Network for Generalized Zero-shot Learning. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
2021	A*	`conf`	Recognizing Vector Graphics without Rasterization. NeurIPS Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
2021	J	`jnl`	Recognizing Vector Graphics without Rasterization. CoRR Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
2020	J	`jnl`	A Universal Representation Transformer Layer for Few-Shot Image Classification. CoRR Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
2020	A*	`conf`	Attribute Propagation Network for Graph Zero-Shot Learning. AAAI Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	Attribute Propagation Network for Graph Zero-shot Learning. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020	B	`conf`	Interpretable Time-series Classification on Few-shot Samples. IJCNN Wensi Tang, Lu Liu, Guodong Long
2020	J	`jnl`	Interpretable Time-series Classification on Few-shot Samples. CoRR Wensi Tang, Lu Liu, Guodong Long
2020	J	`jnl`	Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size. CoRR Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys
2020	J	`jnl`	Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline. CoRR Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein
2019	A*	`conf`	Learning to Propagate for Graph Meta-Learning. NeurIPS Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Learning to Propagate for Graph Meta-Learning. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2019	A*	`conf`	Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. IJCAI Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2019	J	`jnl`	Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang