| Shanghua Gao

Shanghua Gao 高尚华

Shanghua Gao (高尚华)

Postdoctoral Fellow at Harvard University, working on generative foundation models and representation learning.

My Works

Collect from Shanghua Gao

Life is beautiful.

Selected Works

Google Scholar | Github

Empowering Biomedical Discovery with AI Agents
_{Shanghua Gao, Ada Fang*, Yepeng Huang*, Valentina Giunchiglia*, Ayush Noori*, Jonathan Richard Schwarz, Yasha Ektefaie, Jovana Kondic, Marinka Zitnik

[pdf]}

UniTS: Building a Unified Time Series Model
_{Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik

Star
[pdf]
[code]}

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
_{Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Star
[pdf]
[project page]
[code]}

Masked Diffusion Transformer is a Strong Image Synthesizer
_{Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
IEEE International Conference on Computer Vision (ICCV), 2023

Star
[pdf]
[code]}

Editanything: Empowering unparalleled flexibility in image editing and generation
_{Shanghua Gao, Zhijie Lin, Xingyu Xie, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Star
[pdf]
[code]}

Large-scale Unsupervised Semantic Segmentation
_{Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip Torr
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

Star
[pdf]
[project]
[code]
[ImageNet-S]}

Towards Sustainable Self-supervised Learning
_{Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
Tech report, 2022

[pdf]
[code]}

RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks
_{Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Global2Local: Efficient Structure Search for Video Action Segmentation
_{Shanghua Gao*, Qi Han*, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Star
[pdf-pami]
[pdf-cvpr]
[project]
[code]}}

A Highly Efficient Model to Study the Semantics of Salient Object Detection
_{Ming-Ming Cheng*, Shanghua Gao*, Ali Borji, Yong-Qiang Tan, Zheng Lin, Meng Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Highly Efficient Salient Object Detection with 100K Parameters
_{Shanghua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan
European Conference on Computer Vision (ECCV), 2020

Star
[pdf-pami]
[pdf-eccv]
[bib]
[project]
[code]}}

Representative Batch Normalization with Feature Calibration
_{Shanghua Gao, Qi Han, Duo Li, Ming-Ming Cheng, Pai Peng
Oral, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Star
[pdf]
[project]
[bib]
[code]}

Res2Net: A New Multi-scale Backbone Architecture
_{Shanghua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip Torr
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

Star
[pdf]
[bib]
[DEMO]
[project]
[code]
[PPT]
[中文版]}

JCS: An explainable COVID-19 diagnosis system by joint classification and segmentation
_{Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng
IEEE Transactions on Image Processing (TIP), 2021
[pdf]
[bib]}

Point-based Iterative Graph Exploration for Road Graphs Extraction
_{Yong-Qiang Tan, Shanghua Gao, Xuan-Yi Li, Ming-Ming Cheng, Bo Ren
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[pdf]
[bib]
[project]}

Optimizing the F-measure for Threshold-free Salient Object Detection
_{Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-Ming Cheng
IEEE International Conference on Computer Vision (ICCV), 2019
[pdf]
[bib]
[project]
[code]}

Hi-Fi: Hierarchical Feature Integration for Skeleton Detection
_{Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng
International Joint Conference on Artificial Intelligence (IJCAI), 2018
[pdf]
[bib]
[project]
[code]
[中文版]}

Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground
_{Deng-Ping Fan, Ming-Ming Cheng*, Jiang-Jiang Liu, Shanghua Gao, Qinbin Hou, Ali Borji
European Conference on Computer Vision (ECCV), 2018
[pdf]
[bib]
[project]
[中文版]}

Orbital Angular Momentum for Wireless Communications
_{Wenchi Cheng, Wei Zhang, Haiyue Jing, Shanghua Gao, Hailin Zhang
IEEE Wireless Communications Magazine, 2018
[pdf]
[bib]
[project]}

Bifocal-Lens Converging Based OAM Wireless Communications
_{Shanghua Gao, Wenchi Cheng, Hailin Zhang
IEEE Journal of Communications and Information Networks (JCIN), 2019
High-efficient beam-converging for UCA based radio vortex wireless communications
_{Shanghua Gao, Wenchi Cheng, Hailin Zhang, Zan Li
IEEE/CIC International Conference on Communications in China (ICCC), 2017

[pdf_journal]
[pdf_conf]
[bib_journal]
[bib_conf]
[project]}}

Contact

Email shgao@live.com

Addr Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.

Hosted by Github