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ORCIDMing Gao 0001
Person information
- affiliation: East China Normal University, School of Data Science and Engineering, Shanghai, China
- affiliation (former): Singapore Management University, Singapore
Other persons with the same name
- Ming Gao — disambiguation page
- Ming Gao 0002 — National University of Defense Technology, Changsha, China
- Ming Gao 0003 — University of Reading, School of Systems Engineering, UK
- Ming Gao 0005 — FZI Forschungszentrum Informatik, Group of Technisch Kognitive Assistenzsysteme, Germany
- Ming Gao 0006
![[0000-0003-2253-150X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2253-150X")
— China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China (and 1 more) - Ming Gao 0007 — Northeastern University, School of Information Science and Engineering, Shenyang, China
- Ming Gao 0008 — Dongbei University of Finance & Economics, Key Laboratory of Big Data Management, Optimization and Decision of Liaoning Province, Dalian, China
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2020 – today
- 2023
[j12]Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou:
Resizing codebook of vector quantization without retraining. Multim. Syst. 29(3): 1499-1512 (2023)- [j11]Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction. IEEE Trans. Knowl. Data Eng. 35(2): 1761-1774 (2023) - [c49]Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou:
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. AAAI 2023: 13682-13690 - [c48]Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao:
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CIKM 2023: 5111-5116 - [c47]Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao:
Robust Clustered Federated Learning. DASFAA (1) 2023: 677-692 - [c46]Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-learning Siamese Network for Few-Shot Text Classification. DASFAA (3) 2023: 737-752 - [c45]Yingnan Fu, Tingting Liu, Ming Gao, Aoying Zhou:
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition. ICDAR (1) 2023: 134-151 - [c44]Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian:
ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. KSEM (3) 2023: 106-119 - [c43]Yingnan Fu, Wenyuan Cai, Ming Gao, Aoying Zhou:
Symbol Location-Aware Network for Improving Handwritten Mathematical Expression Recognition. ICMR 2023: 516-524 - [c42]Yingnan Fu, Shu Zheng, Wenyuan Cai, Ming Gao, Cheqing Jin, Aoying Zhou:
Dynamic Feature Selection for Structural Image Content Recognition. MMM (2) 2023: 337-349 - [c41]Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao:
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. WWW 2023: 143-153 - [i20]Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao:
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. CoRR abs/2301.12458 (2023) - [i19]Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-Learning Siamese Network for Few-Shot Text Classification. CoRR abs/2302.03507 (2023) - [i18]Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou:
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling. CoRR abs/2302.08659 (2023) - [i17]Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao:
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CoRR abs/2302.14286 (2023) - [i16]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
You Can Backdoor Personalized Federated Learning. CoRR abs/2307.15971 (2023) - 2022
- [j10]Jianbing Zheng, Ming Gao, Ee-Peng Lim, David Lo, Cheqing Jin, Aoying Zhou:
On measuring network robustness for weighted networks. Knowl. Inf. Syst. 64(7): 1967-1996 (2022) - [j9]Ming Gao, Xiangnan He, Leihui Chen, Tingting Liu, Jinglin Zhang, Aoying Zhou:
Learning Vertex Representations for Bipartite Networks. IEEE Trans. Knowl. Data Eng. 34(1): 379-393 (2022) - [c40]Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai:
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. ACL (1) 2022: 5142-5153 - [c39]Cen Chen, Tiandi Ye, Li Wang, Ming Gao:
Learning to Generalize in Heterogeneous Federated Networks. CIKM 2022: 159-168 - [c38]Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao:
Towards Unified Prompt Tuning for Few-shot Text Classification. EMNLP (Findings) 2022: 524-536 - [c37]Tingting Liu, Chengyu Wang, Xiangru Zhu, Lei Li, Minghui Qiu, Jun Huang, Ming Gao, Yanghua Xiao:
ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge. EMNLP (Findings) 2022: 881-888 - [c36]Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao:
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. EMNLP 2022: 3152-3163 - [c35]Jianing Wang, Wenkang Huang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Xiang Li, Ming Gao:
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. EMNLP 2022: 3164-3177 - [c34]Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao:
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. EMNLP 2022: 3466-3476 - [c33]Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou:
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. ICDM (Workshops) 2022: 298-307 - [c32]Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou:
Understanding Long Programming Languages with Structure-Aware Sparse Attention. SIGIR 2022: 2093-2098 - [c31]Lei Li, Dongxiang Zhang, Chengyu Wang, Cheqing Jin, Ming Gao, Aoying Zhou:
Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge. WISE 2022: 370-385 - [i15]Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao:
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. CoRR abs/2205.03071 (2022) - [i14]Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao:
Towards Unified Prompt Tuning for Few-shot Text Classification. CoRR abs/2205.05313 (2022) - [i13]Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou:
Understanding Long Programming Languages with Structure-Aware Sparse Attention. CoRR abs/2205.13730 (2022) - [i12]Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai:
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. CoRR abs/2206.04730 (2022) - [i11]Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao:
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. CoRR abs/2210.04633 (2022) - [i10]Jianing Wang, Wenkang Huang, Qiuhui Shi, Hongbin Wang, Minghui Qiu, Xiang Li, Ming Gao:
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. CoRR abs/2210.08536 (2022) - [i9]Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao:
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. CoRR abs/2210.09049 (2022) - 2021
- [c30]Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification. ACL/IJCNLP (Findings) 2021: 1664-1673 - [c29]Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, Ming Gao:
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification. EMNLP (1) 2021: 2792-2802 - [c28]Jianbing Zheng, Shuai Wang, Cheqing Jin, Ming Gao, Aoying Zhou, Liang Ni:
Trajectory Similarity Search with Multi-level Semantics. ICA3PP (3) 2021: 602-619 - [c27]Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou:
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner. ICDE 2021: 888-899 - [i8]Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification. CoRR abs/2107.12262 (2021) - [i7]Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou:
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. CoRR abs/2112.08273 (2021) - 2020
- [c26]Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou:
Improving Neural Relation Extraction with Implicit Mutual Relations. ICDE 2020: 1021-1032 - [i6]Yingnan Fu, Tingting Liu, Ming Gao, Aoying Zhou:
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition. CoRR abs/2007.02517 (2020) - [i5]Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction. CoRR abs/2011.13574 (2020) - [i4]Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou:
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner. CoRR abs/2011.14333 (2020)
2010 – 2019
- 2019
- [j8]Chao Kong, Ming Gao, Chen Xu, Yunbin Fu, Weining Qian, Aoying Zhou:
EnAli: entity alignment across multiple heterogeneous data sources. Frontiers Comput. Sci. 13(1): 157-169 (2019) - [j7]Jihong Yan, Chen Xu, Na Li, Ming Gao, Aoying Zhou:
Optimizing model parameter for entity summarization across knowledge graphs. J. Comb. Optim. 37(1): 293-318 (2019) - [c25]Lisi Ai, Baoli Gao, Jianbing Zheng, Ming Gao:
On Improving Text Generation Via Integrating Text Coherence. CCIS 2019: 6-10 - [c24]Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou:
AgriKG: An Agricultural Knowledge Graph and Its Applications. DASFAA (3) 2019: 533-537 - [i3]Ming Gao, Xiangnan He, Leihui Chen, Aoying Zhou:
Learning Vertex Representations for Bipartite Networks. CoRR abs/1901.09676 (2019) - [i2]Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou:
Improving Neural Relation Extraction with Implicit Mutual Relations. CoRR abs/1907.05333 (2019) - 2018
- [j6]Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou:
A retrospective of knowledge graphs. Frontiers Comput. Sci. 12(1): 55-74 (2018) - [c23]Ming Gao, Leihui Chen, Xiangnan He, Aoying Zhou:
BiNE: Bipartite Network Embedding. SIGIR 2018: 715-724 - 2017
- [j5]Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang:
BiRank: Towards Ranking on Bipartite Graphs. IEEE Trans. Knowl. Data Eng. 29(1): 57-71 (2017) - [c22]Lisi Ai, Na Li, Jianbing Zheng, Ming Gao:
Automatic Text Generation via Text Extraction Based on Submodular. APWeb/WAIM Workshops 2017: 237-246 - [c21]Leihui Chen, Jianbing Zheng, Ming Gao, Aoying Zhou, Wei Zeng, Hui Chen:
TLRec: Transfer Learning for Cross-Domain Recommendation. ICBK 2017: 167-172 - [c20]Jianbing Zheng, Yanbin Li, Yanji Hou, Ming Gao, Aoying Zhou:
BMNR: Design and Implementation a Benchmark for Metrics of Network Robustness. ICBK 2017: 320-325 - [i1]Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang:
BiRank: Towards Ranking on Bipartite Graphs. CoRR abs/1708.04396 (2017) - 2016
- [j4]Ming Gao, Ee-Peng Lim, David Lo, Philips Kokoh Prasetyo:
On detecting maximal quasi antagonistic communities in signed graphs. Data Min. Knowl. Discov. 30(1): 99-146 (2016) - [j3]Rong Zhang, Ming Gao, Xiaofeng He, Aoying Zhou:
Learning user credibility for product ranking. Knowl. Inf. Syst. 46(3): 679-705 (2016) - [c19]Liang Zhang, Ming Gao, Weining Qian, Aoying Zhou:
Compressing Streaming Graph Data Based on Triangulation. APWeb Workshops 2016: 164-175 - [c18]Chao Kong, Ming Gao, Chen Xu, Weining Qian, Aoying Zhou:
Entity Matching Across Multiple Heterogeneous Data Sources. DASFAA (1) 2016: 133-146 - [c17]Jihong Yan, Yanhua Wang, Ming Gao, Aoying Zhou:
Context-Aware Entity Summarization. WAIM (1) 2016: 517-529 - 2015
- [j2]Jihong Yan, Wenliang Cheng, Chengyu Wang, Jun Liu, Ming Gao, Aoying Zhou:
Optimizing word set coverage for multi-event summarization. J. Comb. Optim. 30(4): 996-1015 (2015) - [c16]Chao Kong, Ming Gao, Weining Qian, Minqi Zhou, Xueqing Gong, Rong Zhang, Aoying Zhou:
ACID Encountering the CAP Theorem: Two Bank Case Studies. IEEE WISA 2015: 235-240 - [c15]Jinyang Li, Chengyu Wang, Xiaofeng He, Rong Zhang, Ming Gao:
User Generated Content Oriented Chinese Taxonomy Construction. APWeb 2015: 623-634 - [c14]Chengyu Wang, Ming Gao, Xiaofeng He, Rong Zhang:
Challenges in Chinese knowledge graph construction. ICDE Workshops 2015: 59-61 - [c13]Qiuge Song, Cheqing Jin, Xiaoling Wang, Ming Gao, Aoying Zhou:
Discovering underpasses from walking trajectories. ICDE Workshops 2015: 129-133 - [c12]Ming Gao, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo, Aoying Zhou:
CNL: Collective Network Linkage Across Heterogeneous Social Platforms. ICDM 2015: 757-762 - [c11]Rong Zhang, Yifan Gao, Wenzhe Yu, Pingfu Chao, Xiaoyan Yang, Ming Gao, Aoying Zhou:
Review Comment Analysis for Predicting Ratings. WAIM 2015: 247-259 - [c10]Lei Wang, Ming Gao, Rong Zhang, Cheqing Jin, Aoying Zhou:
Computing Probability Threshold Set Similarity on Probabilistic Sets. WAIM 2015: 374-386 - 2014
- [j1]Ming Gao, Cheqing Jin, Weining Qian, Xueqing Gong:
Real-time and Personalized Search over a Microblogging System. Comput. J. 57(9): 1281-1295 (2014) - [c9]Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, Kazunari Sugiyama:
Predicting the popularity of web 2.0 items based on user comments. SIGIR 2014: 233-242 - 2013
- [c8]Ming Gao, Cheqing Jin, Wei Wang, Xuemin Lin, Aoying Zhou:
Similarity query processing for probabilistic sets. ICDE 2013: 913-924 - [c7]Philips Kokoh Prasetyo, Ming Gao, Ee-Peng Lim, Christie Napa Scollon:
Social Sensing for Urban Crisis Management: The Case of Singapore Haze. SocInfo 2013: 478-491 - [c6]Ming Gao, Ee-Peng Lim, David Lo:
R-energy for evaluating robustness of dynamic networks. WebSci 2013: 89-98 - 2012
- [c5]Ming Gao, Cheqing Jin, Weining Qian, Xueqing Gong:
Real-Time Search over a Microblogging System. CGC 2012: 352-359 - 2011
- [c4]Cheqing Jin, Ming Gao, Aoying Zhou:
Handling ER-topk Query on Uncertain Streams. DASFAA (1) 2011: 326-340 - 2010
- [c3]Ming Gao, Xiangnan He, Cheqing Jin, Xiaoling Wang, Aoying Zhou:
Recording How-Provenance on Probabilistic Databases. APWeb 2010: 205-211 - [c2]Peisen Yuan, Xiaoling Wang, Chaofeng Sha, Ming Gao, Aoying Zhou:
GRAMS3: An Efficient Framework for XML Structural Similarity Search. DASFAA Workshops 2010: 422-433
2000 – 2009
- 2009
- [c1]Chen Zhang, Ming Gao, Aoying Zhou:
Tracking High Quality Clusters over Uncertain Data Streams. ICDE 2009: 1641-1648
Coauthor Index
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last updated on 2023-12-08 02:34 CET by the dblp team
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