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ORCIDPeng Gao 0015
Person information
- affiliation: Ping An Healthcare Technology Co. Ltd, Beijing, China
- affiliation (PhD 2010): Tongji University, Traffic and Transportation Engineering, Shanghai, China
Other persons with the same name
- Peng Gao — disambiguation page
- Peng Gao 0001 — China Mobile Group Design Institute Co., Ltd, Division of Research, China
- Peng Gao 0002
![[0000-0002-9599-855X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9599-855X")
— University of South Carolina, Department of Geography, Columbia, SC, USA - Peng Gao 0003 — University at Buffalo, Department of Geography, NY, USA
- Peng Gao 0004 — Jilin University, Institute of Mathematics, Changchun, China
- Peng Gao 0005 — Qufu Normal University, School of Cyber Science and Engineering, China (and 1 more)
- Peng Gao 0006 — Berlin Institute of Technology, Germany
- Peng Gao 0007 — Shanghai Artificial Intelligence Laboratory, OpenGVLab, Shanghai, China (and 1 more)
- Peng Gao 0008 — Virginia Tech, Department of Computer Science, Blacksburg, VA, USA (and 2 more)
- Peng Gao 0009 — North Carolina State University, Raleigh, NC, USA (and 2 more)
- Peng Gao 0010 — Caeleste CVBA, Mechelen, Belgium (and 1 more)
- Peng Gao 0011 — Shenzhen Broadcare Medical Robotics, Co. Ltd., China (and 1 more)
- Peng Gao 0012 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China
- Peng Gao 0013 — Xiaomi Inc., Beijing, China
- Peng Gao 0014 — IBM Research, Beijing/Shanghai, China
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2020 – today
- 2023
[j4]Ruiqiang Lu, Jun Wang, Pengyong Li, Yuquan Li, Shuoyan Tan, Yiting Pan, Huanxiang Liu, Peng Gao, Guotong Xie, Xiaojun Yao:
Improving drug-target affinity prediction via feature fusion and knowledge distillation. Briefings Bioinform. 24(3) (2023)- [c13]Xiaorui Wang, Jun Wang, Xin Tang, Peng Gao, Rui Fang, Guotong Xie:
Filter Pruning Via Filters Similarity in Consecutive Layers. ICASSP 2023: 1-5 - [i11]Xiaorui Wang, Jun Wang, Xin Tang, Peng Gao, Rui Fang, Guotong Xie:
Filter Pruning via Filters Similarity in Consecutive Layers. CoRR abs/2304.13397 (2023) - 2022
- [c12]Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao:
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. SemEval@NAACL 2022: 1593-1596 - [c11]Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie:
HCL: Improving Graph Representation with Hierarchical Contrastive Learning. ISWC 2022: 108-124 - [i10]Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Pengyong Li, Jun Wang, Peng Gao, Yixuan Qiao, Guotong Xie:
CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer. CoRR abs/2203.00836 (2022) - [i9]Yixuan Qiao, Hao Chen, Yongquan Lai, Jun Wang, Tuozhen Liu, Xianbin Ye, Rui Fang, Peng Gao, Wenfeng Xie, Guotong Xie:
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking. CoRR abs/2205.11245 (2022) - [i8]Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao:
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. CoRR abs/2205.14660 (2022) - [i7]Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie:
HCL: Improving Graph Representation with Hierarchical Contrastive Learning. CoRR abs/2210.12020 (2022) - 2021
- [j3]Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song:
An effective self-supervised framework for learning expressive molecular global representations to drug discovery. Briefings Bioinform. 22(6) (2021) - [j2]Cheng Zhang, Jun Wang, Jian He, Peng Gao, Guotong Xie:
Automated vertebral landmarks and spinal curvature estimation using non-directional part affinity fields. Neurocomputing 438: 280-289 (2021) - [c10]Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie:
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. IJCAI 2021: 2694-2700 - [c9]Yixuan Qiao, Hao Chen, Tuozhen Liu, Xianbin Ye, Jun Wang, Peng Gao, Guotong Xie:
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL. TREC 2021 - [i6]Yixuan Qiao, Hao Chen, Jun Wang, Yihao Chen, Xianbin Ye, Ziliang Li, Xianbiao Qi, Peng Gao, Guotong Xie:
Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model. CoRR abs/2106.15332 (2021) - [i5]Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Seng Song, Guotong Xie:
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. CoRR abs/2110.13567 (2021) - [i4]Jun Wang, Zhoujing Li, Yixuan Qiao, Qiming Qin, Peng Gao, Guotong Xie:
Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks. CoRR abs/2112.04744 (2021) - 2020
- [j1]Changsheng Li, Chong Liu, Lixin Duan, Peng Gao, Kai Zheng:
Reconstruction Regularized Deep Metric Learning for Multi-Label Image Classification. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2294-2303 (2020) - [c8]Ge Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie:
Region Focus Network for Joint Optic Disc and Cup Segmentation. AAAI 2020: 751-758 - [c7]Jun Wang, Shaoguo Wen, Jianghua Yu, Kaixing Chen, Xin Zhou, Peng Gao, Guotong Xie, Changsheng Li:
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions. BMVC 2020 - [c6]Yijun Wang, Changzhi Sun, Yuanbin Wu, Junchi Yan, Peng Gao, Guotong Xie:
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information. EMNLP (1) 2020: 1692-1705 - [c5]Zhexi Zhang, Wei Zhu, Junchi Yan, Peng Gao, Guotong Xie:
Automatic Student Network Search for Knowledge Distillation. ICPR 2020: 2446-2453 - [c4]Suhui Yang, Xia Zhou, Jun Wang, Guotong Xie, Chuanfeng Lv, Peng Gao, Bin Lv:
Unsupervised Domain Adaptation for Cross-Device OCT Lesion Detection via Learning Adaptive Features. ISBI 2020: 1570-1573 - [c3]Liyu Cao, Yixuan Qiao, Hao Chen, Peng Gao, Yuan Ni, Guo Tong Xie:
A Multiple Models Ensembling Method in TREC Deep Learning. TREC 2020 - [c2]Yixuan Qiao, Hao Chen, Liyu Cao, Liping Chen, Pengyong Li, Jun Wang, Peng Gao, Yuan Ni, Guotong Xie:
PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking. TREC 2020 - [i3]Changsheng Li, Chong Liu, Lixin Duan, Peng Gao, Kai Zheng:
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification. CoRR abs/2007.13547 (2020) - [i2]Jun Wang, Shaoguo Wen, Kaixing Chen, Jianghua Yu, Xin Zhou, Peng Gao, Changsheng Li, Guotong Xie:
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions. CoRR abs/2012.04829 (2020) - [i1]Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song:
Learn molecular representations from large-scale unlabeled molecules for drug discovery. CoRR abs/2012.11175 (2020)
2010 – 2019
- 2019
- [c1]Yan Guo, Kang Wang, Suhui Yang, Yue Wang, Peng Gao, Guotong Xie, Chuanfeng Lv, Bin Lv:
Structure-Aware Noise Reduction Generative Adversarial Network for Optical Coherence Tomography Image. OMIA@MICCAI 2019: 9-17
Coauthor Index
aka: Guotong Xie
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