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Haitao Lin

National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

Extensive Deep Temporal Point Process


Oct 19, 2021
Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan. Z. Li

* 21 pages 

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Git: Clustering Based on Graph of Intensity Topology


Oct 04, 2021
Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan. Z Li

* 7 pages of main text, 5 pages appendix, clustering method 

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CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization


Sep 06, 2021
Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong

* Accepted by EMNLP2021 main conference 

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CSDS: A Fine-grained Chinese Dataset for Customer Service Dialogue Summarization


Aug 30, 2021
Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong

* Accepted by EMNLP2021 main conference 

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Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models


Aug 19, 2021
Haitao Lin, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong

* Accepted by Interspeech2021 

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DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation


Jun 27, 2021
Haitao Lin, Zichang Liu, Chilam Cheang, Lingwei Zhang, Yanwei Fu, Xiangyang Xue


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GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction


Jun 21, 2021
Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan. Z. Li


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Self-supervised on Graphs: Contrastive, Generative,or Predictive


May 24, 2021
Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan. Z. Li


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Conditional Local Filters with Explainers for Spatio-Temporal Forecasting


Jan 04, 2021
Haitao Lin, Zhangyang Gao, Lirong Wu, Stan. Z. Li


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LookHops: light multi-order convolution and pooling for graph classification


Dec 28, 2020
Zhangyang Gao, Haitao Lin, Stan. Z Li

* 9 pages, 5 figures 

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Invertible Manifold Learning for Dimension Reduction


Oct 07, 2020
Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li

* 18 pages. We propose a novel invertible dimension reduction process for manifold learning with a neural network implementation, and explore the inherent difficulty of manifold learning in real-world secnarios by the way 

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Clustering Based on Graph of Density Topology


Sep 24, 2020
Zhangyang Gao, Haitao Lin, Stan. Z Li


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Neural Pose Transfer by Spatially Adaptive Instance Normalization


Mar 16, 2020
Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang

* Accepted by CVPR2020 

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Pulsars Detection by Machine Learning with Very Few Features


Feb 20, 2020
Haitao Lin, Xiangru Li, Ziying Luo

* 13 pages, 7 figures 

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