Ming Gao

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 75

Top Topics

Heterogeneous Data Sources

Natural Language

Text Classification

Natural Language Processing

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Yingfan Liu, Renyu Zhu, Ming Gao
Personalized Programming Guidance based on Deep Programming Learning Style Capturing. CoRR (2024)
Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
Structure-aware Fine-tuning for Code Pre-trained Models. CoRR (2024)
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
BapFL: You can Backdoor Personalized Federated Learning. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
BapFL: You can Backdoor Personalized Federated Learning. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition. LREC/COLING (2024)
Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou
Accelerating BERT inference with GPU-efficient exit prediction. Frontiers Comput. Sci. 18 (3) (2024)
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
UPFL: Unsupervised Personalized Federated Learning towards New Clients. SDM (2024)
Jiacheng Liu, Feilong Tang, Zhijian Zheng, Hao Liu, Xiaofeng Hou, Long Chen, Ming Gao, Jiadi Yu, Yanmin Zhu
Practical Network Modeling Using Weak Supervision Signals for Human-Centric Networking in Metaverse. IEEE J. Sel. Areas Commun. 42 (3) (2024)
Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
Structure-aware Fine-tuning for Code Pre-trained Models. LREC/COLING (2024)
Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. ACL (1) (2024)
Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. LREC/COLING (2024)
Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. ACL (Findings) (2024)
Yunshi Lan, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou
Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends. CoRR (2024)
Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. LREC/COLING (2024)
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. WWW (2023)
Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CoRR (2023)
Feilong Tang, Xue Li, Long Chen, Jiacheng Liu, Ming Gao, Yanqin Yang, Wenchao Xu, Heteng Zhang
Reinforcement Learning Based Control Domain Division in LEO Satellite Networks. HPCC/DSS/SmartCity/DependSys (2023)
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) (2023)
Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian
ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. KSEM (3) (2023)
Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CIKM (2023)
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)
Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. EMNLP (Findings) (2023)
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)
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
You Can Backdoor Personalized Federated Learning. CoRR (2023)
Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou
Meta-Learning Siamese Network for Few-Shot Text Classification. CoRR (2023)
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) (2023)
Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling. CoRR (2023)
Yingfan Liu, Renyu Zhu, Ming Gao
Personalized Programming Guidance Based on Deep Programming Learning Style Capturing. ICCSE (1) (2023)
Yingnan Fu, Wenyuan Cai, Ming Gao, Aoying Zhou
Symbol Location-Aware Network for Improving Handwritten Mathematical Expression Recognition. ICMR (2023)
Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. AAAI (2023)
Yingnan Fu, Shu Zheng, Wenyuan Cai, Ming Gao, Cheqing Jin, Aoying Zhou
Dynamic Feature Selection for Structural Image Content Recognition. MMM (2) (2023)
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)
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)
Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou
Understanding Long Programming Languages with Structure-Aware Sparse Attention. CoRR (2022)
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 (2022)
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)
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 (2022)
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 (2022)
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)
Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. ACL (1) (2022)
Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou
Understanding Long Programming Languages with Structure-Aware Sparse Attention. SIGIR (2022)
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) (2022)
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)
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 (2022)
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 (2022)
Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. CoRR (2022)
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) (2022)
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)
Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, Aoying Zhou
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification. CoRR (2021)
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)
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)
Jianbing Zheng, Shuai Wang, Cheqing Jin, Ming Gao, Aoying Zhou, Liang Ni
Trajectory Similarity Search with Multi-level Semantics. ICA3PP (3) (2021)
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 (2021)
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 (2020)
Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou
Improving Neural Relation Extraction with Implicit Mutual Relations. ICDE (2020)
Yingnan Fu, Tingting Liu, Ming Gao, Aoying Zhou
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition. CoRR (2020)
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 (2020)
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) (2019)
Ming Gao, Xiangnan He, Leihui Chen, Aoying Zhou
Learning Vertex Representations for Bipartite Networks. CoRR (2019)
Lisi Ai, Baoli Gao, Jianbing Zheng, Ming Gao
On Improving Text Generation Via Integrating Text Coherence. CCIS (2019)
Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou
AgriKG: An Agricultural Knowledge Graph and Its Applications. DASFAA (3) (2019)
Jihong Yan, Chen Xu, Na Li, Ming Gao, Aoying Zhou
Optimizing model parameter for entity summarization across knowledge graphs. J. Comb. Optim. 37 (1) (2019)
Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou
Improving Neural Relation Extraction with Implicit Mutual Relations. CoRR (2019)
Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou
A retrospective of knowledge graphs. Frontiers Comput. Sci. 12 (1) (2018)
Ming Gao, Leihui Chen, Xiangnan He, Aoying Zhou
BiNE: Bipartite Network Embedding. SIGIR (2018)
Leihui Chen, Jianbing Zheng, Ming Gao, Aoying Zhou, Wei Zeng, Hui Chen
TLRec: Transfer Learning for Cross-Domain Recommendation. ICBK (2017)
Lisi Ai, Na Li, Jianbing Zheng, Ming Gao
Automatic Text Generation via Text Extraction Based on Submodular. APWeb/WAIM Workshops (2017)
Jianbing Zheng, Yanbin Li, Yanji Hou, Ming Gao, Aoying Zhou
BMNR: Design and Implementation a Benchmark for Metrics of Network Robustness. ICBK (2017)
Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang
BiRank: Towards Ranking on Bipartite Graphs. CoRR (2017)
Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang
BiRank: Towards Ranking on Bipartite Graphs. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Rong Zhang, Ming Gao, Xiaofeng He, Aoying Zhou
Learning user credibility for product ranking. Knowl. Inf. Syst. 46 (3) (2016)
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) (2016)
Chao Kong, Ming Gao, Chen Xu, Weining Qian, Aoying Zhou
Entity Matching Across Multiple Heterogeneous Data Sources. DASFAA (1) (2016)
Liang Zhang, Ming Gao, Weining Qian, Aoying Zhou
Compressing Streaming Graph Data Based on Triangulation. APWeb Workshops (2016)
Jihong Yan, Yanhua Wang, Ming Gao, Aoying Zhou
Context-Aware Entity Summarization. WAIM (1) (2016)
Rong Zhang, Yifan Gao, Wenzhe Yu, Pingfu Chao, Xiaoyan Yang, Ming Gao, Aoying Zhou
Review Comment Analysis for Predicting Ratings. WAIM (2015)
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)
Chengyu Wang, Ming Gao, Xiaofeng He, Rong Zhang
Challenges in Chinese knowledge graph construction. ICDE Workshops (2015)
Qiuge Song, Cheqing Jin, Xiaoling Wang, Ming Gao, Aoying Zhou
Discovering underpasses from walking trajectories. ICDE Workshops (2015)
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) (2015)
Lei Wang, Ming Gao, Rong Zhang, Cheqing Jin, Aoying Zhou
Computing Probability Threshold Set Similarity on Probabilistic Sets. WAIM (2015)
Jinyang Li, Chengyu Wang, Xiaofeng He, Rong Zhang, Ming Gao
User Generated Content Oriented Chinese Taxonomy Construction. APWeb (2015)
Ming Gao, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo, Aoying Zhou
CNL: Collective Network Linkage Across Heterogeneous Social Platforms. ICDM (2015)
Ming Gao, Cheqing Jin, Weining Qian, Xueqing Gong
Real-time and Personalized Search over a Microblogging System. Comput. J. 57 (9) (2014)
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)
Ming Gao, Cheqing Jin, Wei Wang, Xuemin Lin, Aoying Zhou
Similarity query processing for probabilistic sets. ICDE (2013)
Philips Kokoh Prasetyo, Ming Gao, Ee-Peng Lim, Christie Napa Scollon
Social Sensing for Urban Crisis Management: The Case of Singapore Haze. SocInfo (2013)
Ming Gao, Ee-Peng Lim, David Lo
-energy for evaluating robustness of dynamic networks. WebSci (2013)
Ming Gao, Cheqing Jin, Weining Qian, Xueqing Gong
Real-Time Search over a Microblogging System. CGC (2012)
Cheqing Jin, Ming Gao, Aoying Zhou
Query on Uncertain Streams. DASFAA (1) (2011)
Ming Gao, Xiangnan He, Cheqing Jin, Xiaoling Wang, Aoying Zhou
Recording How-Provenance on Probabilistic Databases. APWeb (2010)
Peisen Yuan, Xiaoling Wang, Chaofeng Sha, Ming Gao, Aoying Zhou
: An Efficient Framework for XML Structural Similarity Search. DASFAA Workshops (2010)
Chen Zhang, Ming Gao, Aoying Zhou
Tracking High Quality Clusters over Uncertain Data Streams. ICDE (2009)