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Lu Liu

Recognizing Vector Graphics without Rasterization


Nov 12, 2021
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li

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* Accepted by NeurIPS2021 
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Cloning one's voice using very limited data in the wild


Oct 08, 2021
Dongyang Dai, Yuanzhe Chen, Li Chen, Ming Tu, Lu Liu, Rui Xia, Qiao Tian, Yuping Wang, Yuxuan Wang

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Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision


Aug 30, 2021
Bo Li, Xinyang Jiang, Donglin Bai, Yuge Zhang, Ningxin Zheng, Xuanyi Dong, Lu Liu, Yuqing Yang, Dongsheng Li

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* ArXiv Preprint 
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Towards robust and domain agnostic reinforcement learning competitions


Jun 07, 2021
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute

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* 20 pages, several figures, published PMLR 
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Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception


May 18, 2021
Ridong Han, Tao Peng, Jiayu Han, Lin Yue, Hai Cui, Lu Liu

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* 11 pages 
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Human Object Interaction Detection using Two-Direction Spatial Enhancement and Exclusive Object Prior


May 07, 2021
Lu Liu, Robby T. Tan

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FedProto: Federated Prototype Learning over Heterogeneous Devices


May 01, 2021
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang

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Isometric Propagation Network for Generalized Zero-shot Learning


Feb 03, 2021
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang

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* Accepted by ICLR 2021 
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Free Lunch for Few-shot Learning: Distribution Calibration


Jan 16, 2021
Shuo Yang, Lu Liu, Min Xu

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* The 9th International Conference on Learning Representations (ICLR 2021) 
 * ICLR 2021 oral paper, code is available at https://github.com/ShuoYang-1998/ICLR2021-Oral_Distribution_Calibration 
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Attribute Propagation Network for Graph Zero-shot Learning


Sep 24, 2020
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

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* AAAI 2020 
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Improving Coreference Resolution by Leveraging Entity-Centric Features with Graph Neural Networks and Second-order Inference


Sep 10, 2020
Lu Liu, Zhenqiao Song, Xiaoqing Zheng

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NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size


Sep 02, 2020
Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys

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* An extended version of NAS-Bench-201 published in ICLR 2020. arXiv admin note: substantial text overlap with arXiv:2001.00326 
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Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy


Jun 28, 2020
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

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A Universal Representation Transformer Layer for Few-Shot Image Classification


Jun 25, 2020
Lu Liu, William Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle

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Interpretable Time-series Classification on Few-shot Samples


Jun 03, 2020
Wensi Tang, Lu Liu, Guodong Long

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* Accepted to IJCNN 2020 
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Low-shot Object Detection via Classification Refinement


May 06, 2020
Yiting Li, Yu Cheng, Lu Liu, Sichao Tian, Haiyue Zhu, Cheng Xiang, Prahlad Vadakkepat, Cheksing Teo, Tongheng Lee

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* Submitted to NIPS2020 
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Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework


Apr 15, 2020
Jiehang Zeng, Lu Liu, Xiaoqing Zheng

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* 7 pages, 1 figures 
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Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline


Feb 24, 2020
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein

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AutoML using Metadata Language Embeddings


Oct 08, 2019
Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell

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* NeurIPS Workshop on Meta-Learning, 2019 
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Learning to Propagate for Graph Meta-Learning


Sep 11, 2019
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

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* Accepted to NeurIPS 2019 
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New Era of Deeplearning-Based Malware Intrusion Detection: The Malware Detection and Prediction Based On Deep Learning


Jul 19, 2019
Shuqiang Lu, Lingyun Ying, Wenjie Lin, Yu Wang, Meining Nie, Kaiwen Shen, Lu Liu, Haixin Duan

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Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph


Jun 02, 2019
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang

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* Accepted to IJCAI 2019, Code is publicly available at: https://github.com/liulu112601/PPN 
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Certainty-Driven Consistency Loss for Semi-supervised Learning


Jan 17, 2019
Yingting Li, Lu Liu, Robby T. Tan

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From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation


Jan 11, 2019
Yan Zhao, Lu Liu, Chunhua Liu, Ruoyao Yang, Dong Yu

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* Natural Language Processing and Chinese Computing. NLPCC 2018. Lecture Notes in Computer Science, vol 11108. Springer, Cham 
 * 12 pages, 1 figure, NLPCC 2018 
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Loss Guided Activation for Action Recognition in Still Images


Dec 11, 2018
Lu Liu, Robby T. Tan, Shaodi You

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* Accepted to appear in ACCV 2018 
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Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series


Aug 14, 2018
Lu Liu, Zhiguang Wang

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* AAAI 2018 workshop 
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Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization


Nov 26, 2016
Zhiguang Wang, Wei Song, Lu Liu, Fan Zhang, Junxiao Xue, Yangdong Ye, Ming Fan, Mingliang Xu

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* arXiv admin note: text overlap with arXiv:1505.04366 by other authors 
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