Ming Gao

According to our database, Ming Gao authored at least 103 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

BapFL: You can Backdoor Personalized Federated Learning.

Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao

ACM Trans. Knowl. Discov. Data, August, 2024

Accelerating BERT inference with GPU-efficient exit prediction.

Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou

Frontiers Comput. Sci., June, 2024

Practical Network Modeling Using Weak Supervision Signals for Human-Centric Networking in Metaverse.

Jiacheng Liu, Feilong Tang, Zhijian Zheng, Hao Liu, Xiaofeng Hou, Long Chen, Ming Gao, Jiadi Yu, Yanmin Zhu

IEEE J. Sel. Areas Commun., March, 2024

DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning.

Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu

CoRR, 2024

Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator.

Kangyang Luo, Shuai Wang, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu

CoRR, 2024

Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends.

Yunshi Lan, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou

CoRR, 2024

UPFL: Unsupervised Personalized Federated Learning towards New Clients.

Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence.

Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

Structure-aware Fine-tuning for Code Pre-trained Models.

Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills.

Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives.

Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition.

Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment.

Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.

Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

INFER: Distilling knowledge from human-generated rules with uncertainty for STINs.

Jiacheng Liu, Feilong Tang, Yanmin Zhu, Jiadi Yu, Long Chen, Ming Gao

Inf. Sci., October, 2023

Resizing codebook of vector quantization without retraining.

Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou

Multim. Syst., June, 2023

Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction.

Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., 2023

Prioritized Propagation in Graph Neural Networks.

Yao Cheng, Minjie Chen, Xiang Li, Caihua Shan, Ming Gao

CoRR, 2023

Boosting In-Context Learning with Factual Knowledge.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao

CoRR, 2023

Exchanging-based Multimodal Fusion with Transformer.

Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian

CoRR, 2023

TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification.

Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou

CoRR, 2023

You Can Backdoor Personalized Federated Learning.

Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao

CoRR, 2023

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.

Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao

CoRR, 2023

Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition.

Chengcheng Han, Renyu Zhu, Jun Kuang, FengJiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Wei Wu

CoRR, 2023

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.

Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao

CoRR, 2023

SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.

Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao

Proceedings of the ACM Web Conference 2023, 2023

DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.

Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Feature Selection for Structural Image Content Recognition.

Yingnan Fu, Shu Zheng, Wenyuan Cai, Ming Gao, Cheqing Jin, Aoying Zhou

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Symbol Location-Aware Network for Improving Handwritten Mathematical Expression Recognition.

Yingnan Fu, Wenyuan Cai, Ming Gao, Aoying Zhou

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization.

Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian

Proceedings of the Knowledge Science, Engineering and Management, 2023

Graph Self-Contrast Representation Learning.

Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao

Proceedings of the IEEE International Conference on Data Mining, 2023

EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition.

Yingnan Fu, Tingting Liu, Ming Gao, Aoying Zhou

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Personalized Programming Guidance Based on Deep Programming Learning Style Capturing.

Yingfan Liu, Renyu Zhu, Ming Gao

Proceedings of the Computer Science and Education. Computer Science and Technology, 2023

An Education-Oriented Collaborative Code Hosting Platform for Programming Courses.

Yao Liu, Tianran Liu, Chaopeng Yi, Yuepeng Xu, Ming Gao, Wei Wang, Aoying Zhou

Proceedings of the Computer Science and Education. Teaching and Curriculum, 2023

Reinforcement Learning Based Control Domain Division in LEO Satellite Networks.

Feilong Tang, Xue Li, Long Chen, Jiacheng Liu, Ming Gao, Yanqin Yang, Wenchao Xu, Heteng Zhang

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.

Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning.

Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation.

Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models.

Chengcheng Han, Xiaowei Du, Che Zhang, Yixin Lian, Xiang Li, Ming Gao, Baoyuan Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization.

Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Robust Clustered Federated Learning.

Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao

Proceedings of the Database Systems for Advanced Applications, 2023

Meta-learning Siamese Network for Few-Shot Text Classification.

Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou

Proceedings of the Database Systems for Advanced Applications, 2023

GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting.

Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HugNLP: A Unified and Comprehensive Library for Natural Language Processing.

Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph.

Xiaodan Wang, Chengyu Wang, Lei Li, Zhixu Li, Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao, Ming Gao

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.

Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling.

Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Vertex Representations for Bipartite Networks.

Ming Gao, Xiangnan He, Leihui Chen, Tingting Liu, Jinglin Zhang, Aoying Zhou

IEEE Trans. Knowl. Data Eng., 2022

On measuring network robustness for weighted networks.

Jianbing Zheng, Ming Gao, Ee-Peng Lim, David Lo, Cheqing Jin, Aoying Zhou

Knowl. Inf. Syst., 2022

Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge.

Lei Li, Dongxiang Zhang, Chengyu Wang, Cheqing Jin, Ming Gao, Aoying Zhou

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Understanding Long Programming Languages with Structure-Aware Sparse Attention.

Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Programming Knowledge Tracing: A Comprehensive Dataset and A New Model.

Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding.

Jianing Wang, Wenkang Huang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Xiang Li, Ming Gao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering.

Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Unified Prompt Tuning for Few-shot Text Classification.

Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge.

Tingting Liu, Chengyu Wang, Xiangru Zhu, Lei Li, Minghui Qiu, Jun Huang, Ming Gao, Yanghua Xiao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.

Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning to Generalize in Heterogeneous Federated Networks.

Cen Chen, Tiandi Ye, Li Wang, Ming Gao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Neural Network Architecture for Program Understanding Inspired by Human Behaviors.

Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner.

Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Trajectory Similarity Search with Multi-level Semantics.

Jianbing Zheng, Shuai Wang, Cheqing Jin, Ming Gao, Aoying Zhou, Liang Ni

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification.

Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, Ming Gao

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification.

Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, Aoying Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Improving Neural Relation Extraction with Implicit Mutual Relations.

Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Optimizing model parameter for entity summarization across knowledge graphs.

Jihong Yan, Chen Xu, Na Li, Ming Gao, Aoying Zhou

J. Comb. Optim., 2019

EnAli: entity alignment across multiple heterogeneous data sources.

Chao Kong, Ming Gao, Chen Xu, Yunbin Fu, Weining Qian, Aoying Zhou

Frontiers Comput. Sci., 2019

Learning Vertex Representations for Bipartite Networks.

Ming Gao, Xiangnan He, Leihui Chen, Aoying Zhou

CoRR, 2019

AgriKG: An Agricultural Knowledge Graph and Its Applications.

Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou

Proceedings of the Database Systems for Advanced Applications, 2019

On Improving Text Generation Via Integrating Text Coherence.

Lisi Ai, Baoli Gao, Jianbing Zheng, Ming Gao

Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019

2018

A retrospective of knowledge graphs.

Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou

Frontiers Comput. Sci., 2018

BiNE: Bipartite Network Embedding.

Ming Gao, Leihui Chen, Xiangnan He, Aoying Zhou

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Network Data Mining and Analysis

Ming Gao, Ee-Peng Lim, David Lo

East China Normal University Scientific Reports 8, WorldScientific, ISBN: 9789813274976, 2018

2017

BiRank: Towards Ranking on Bipartite Graphs.

Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang

IEEE Trans. Knowl. Data Eng., 2017

BMNR: Design and Implementation a Benchmark for Metrics of Network Robustness.

Jianbing Zheng, Yanbin Li, Yanji Hou, Ming Gao, Aoying Zhou

Proceedings of the IEEE International Conference on Big Knowledge, 2017

TLRec: Transfer Learning for Cross-Domain Recommendation.

Leihui Chen, Jianbing Zheng, Ming Gao, Aoying Zhou, Wei Zeng, Hui Chen

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Automatic Text Generation via Text Extraction Based on Submodular.

Lisi Ai, Na Li, Jianbing Zheng, Ming Gao

Proceedings of the Web and Big Data, 2017

Discovery and Fusion of Uncertain Knowledge in Data

Kun Yue, Weiyi Liu, Hao Wu, Dapeng Tao, Ming Gao

East China Normal University Scientific Reports 6, WorldScientific, ISBN: 9789813227156, 2017

2016

Learning user credibility for product ranking.

Rong Zhang, Ming Gao, Xiaofeng He, Aoying Zhou

Knowl. Inf. Syst., 2016

On detecting maximal quasi antagonistic communities in signed graphs.

Ming Gao, Ee-Peng Lim, David Lo, Philips Kokoh Prasetyo

Data Min. Knowl. Discov., 2016

Context-Aware Entity Summarization.

Jihong Yan, Yanhua Wang, Ming Gao, Aoying Zhou

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Entity Matching Across Multiple Heterogeneous Data Sources.

Chao Kong, Ming Gao, Chen Xu, Weining Qian, Aoying Zhou

Proceedings of the Database Systems for Advanced Applications, 2016

Compressing Streaming Graph Data Based on Triangulation.

Liang Zhang, Ming Gao, Weining Qian, Aoying Zhou

Proceedings of the Web Technologies and Applications, 2016

2015

Optimizing word set coverage for multi-event summarization.

Jihong Yan, Wenliang Cheng, Chengyu Wang, Jun Liu, Ming Gao, Aoying Zhou

J. Comb. Optim., 2015

Review Comment Analysis for Predicting Ratings.

Rong Zhang, Yifan Gao, Wenzhe Yu, Pingfu Chao, Xiaoyan Yang, Ming Gao, Aoying Zhou

Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Computing Probability Threshold Set Similarity on Probabilistic Sets.

Lei Wang, Ming Gao, Rong Zhang, Cheqing Jin, Aoying Zhou

Proceedings of the Web-Age Information Management - 16th International Conference, 2015

CNL: Collective Network Linkage Across Heterogeneous Social Platforms.

Ming Gao, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo, Aoying Zhou

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Challenges in Chinese knowledge graph construction.

Chengyu Wang, Ming Gao, Xiaofeng He, Rong Zhang

Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

Discovering underpasses from walking trajectories.

Qiuge Song, Cheqing Jin, Xiaoling Wang, Ming Gao, Aoying Zhou

Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

User Generated Content Oriented Chinese Taxonomy Construction.

Jinyang Li, Chengyu Wang, Xiaofeng He, Rong Zhang, Ming Gao

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

ACID Encountering the CAP Theorem: Two Bank Case Studies.

Chao Kong, Ming Gao, Weining Qian, Minqi Zhou, Xueqing Gong, Rong Zhang, Aoying Zhou

Proceedings of the 12th Web Information System and Application Conference, 2015

2014

Real-time and Personalized Search over a Microblogging System.

Ming Gao, Cheqing Jin, Weining Qian, Xueqing Gong

Comput. J., 2014

Predicting the popularity of web 2.0 items based on user comments.

Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, Kazunari Sugiyama

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013

<i>R</i>-energy for evaluating robustness of dynamic networks.

Ming Gao, Ee-Peng Lim, David Lo

Proceedings of the Web Science 2013 (co-located with ECRC), 2013

Social Sensing for Urban Crisis Management: The Case of Singapore Haze.

Philips Kokoh Prasetyo, Ming Gao, Ee-Peng Lim, Christie Napa Scollon

Proceedings of the Social Informatics - 5th International Conference, 2013

Similarity query processing for probabilistic sets.

Ming Gao, Cheqing Jin, Wei Wang, Xuemin Lin, Aoying Zhou

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012

Real-Time Search over a Microblogging System.

Ming Gao, Cheqing Jin, Weining Qian, Xueqing Gong

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

2011

Handling ER-top<i>k</i> Query on Uncertain Streams.

Cheqing Jin, Ming Gao, Aoying Zhou

Proceedings of the Database Systems for Advanced Applications, 2011

2010

GRAMS³: An Efficient Framework for XML Structural Similarity Search.

Peisen Yuan, Xiaoling Wang, Chaofeng Sha, Ming Gao, Aoying Zhou

Proceedings of the Database Systems for Advanced Applications, 2010

Recording How-Provenance on Probabilistic Databases.

Ming Gao, Xiangnan He, Cheqing Jin, Xiaoling Wang, Aoying Zhou

Proceedings of the Advances in Web Technologies and Applications, 2010

2009

Tracking High Quality Clusters over Uncertain Data Streams.

Chen Zhang, Ming Gao, Aoying Zhou

Proceedings of the 25th International Conference on Data Engineering, 2009

2004

A Framework for Price-Based Resource Allocation on the Grid.

Jiadi Yu, Minglu Li, Ying Li, Feng Hong, Ming Gao

Proceedings of the Parallel and Distributed Computing: Applications and Technologies, 2004