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Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation


Aug 23, 2022
Sijie Shen, Xiang Zhu, Yihong Dong, Qizhi Guo, Yankun Zhen, Ge Li

* This paper has been accepted at ESEC/FSE 2022 Industry Track 

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Antecedent Predictions Are Dominant for Tree-Based Code Generation


Aug 22, 2022
Yihong Dong, Ge Li, Zhi Jin


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A Tree-structured Transformer for Program Representation Learning


Aug 18, 2022
Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu


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OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms


Aug 11, 2022
Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang

* 12 pages, 1 figure 

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Salient Object Detection for Point Clouds


Jul 25, 2022
Songlin Fan, Wei Gao, Ge Li

* Accepted to ECCV 2022. Project Page: https://git.openi.org.cn/OpenPointCloud/PCSOD 

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What does Transformer learn about source code?


Jul 18, 2022
Kechi Zhang, Ge Li, Zhi Jin

* First submitted to NeurIPS 2021 and rejected 

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SKFlow: Learning Optical Flow with Super Kernels


May 29, 2022
Shangkun Sun, Yuanqi Chen, Yu Zhu, Guodong Guo, Ge Li


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Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters


May 19, 2022
Yang Xiang, Zhihua Wu, Weibao Gong, Siyu Ding, Xianjie Mo, Yuang Liu, Shuohuan Wang, Peng Liu, Yongshuai Hou, Long Li, Bin Wang, Shaohuai Shi, Yaqian Han, Yue Yu, Ge Li, Yu Sun, Yanjun Ma, Dianhai Yu

* 20 pages, 10 figures, technical report 

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Deep Geometry Post-Processing for Decompressed Point Clouds


Apr 29, 2022
Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao, Thomas H. Li


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Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation


Apr 18, 2022
Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji


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