Ming Gao

142 papers A* 19A 6B 2C 3Misc 1Journal 63Unranked 46
YearRankTypeTitle / Venue / Authors
2026 J jnl
Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends.
IEEE Trans. Knowl. Data Eng.
Yunshi Lan, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou
2025 A conf
Land Deformation Prediction via Multi-modal Adaptive Association Learning.
CIKM
Wanghui Qiu, Shiyan Hu, Chenjuan Guo, Wenbing Shi, Lina Yu, Ming Gao, Aoying Zhou, Bin Yang
2025 — conf
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization.
NAACL (Long Papers)
Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao
2025 A conf
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning.
CIKM
Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2025 J jnl
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning.
CoRR
Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2024 J jnl
Accelerating BERT inference with GPU-efficient exit prediction.
Frontiers Comput. Sci.
Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou
2024 J jnl
BapFL: You can Backdoor Personalized Federated Learning.
ACM Trans. Knowl. Discov. Data
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2024 — conf
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.
ACL (1)
Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao
2024 — conf
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition.
LREC/COLING
Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
2024 A* conf
Cross-model Control: Improving Multiple Large Language Models in One-time Training.
NeurIPS
Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao
2024 J jnl
Cross-model Control: Improving Multiple Large Language Models in One-time Training.
CoRR
Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao
2024 A* conf
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning.
ICDM
Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu
2024 J jnl
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning.
CoRR
Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu
2024 Misc conf
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence.
ICASSP
Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao
2024 — conf
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment.
ACL (Findings)
Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
2024 J jnl
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment.
CoRR
Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
2024 — conf
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning.
NAACL-HLT (Findings)
Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao
2024 — conf
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives.
LREC/COLING
Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao
2024 J jnl
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization.
CoRR
Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao
2024 J jnl
Personalized Programming Guidance based on Deep Programming Learning Style Capturing.
CoRR
Yingfan Liu, Renyu Zhu, Ming Gao
2024 J jnl
Practical Network Modeling Using Weak Supervision Signals for Human-Centric Networking in Metaverse.
IEEE J. Sel. Areas Commun.
Jiacheng Liu, Feilong Tang, Zhijian Zheng, Hao Liu, Xiaofeng Hou, Long Chen, Ming Gao, Jiadi Yu, Yanmin Zhu
2024 J jnl
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator.
CoRR
Kangyang Luo, Shuai Wang, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu
2024 — conf
Structure-aware Fine-tuning for Code Pre-trained Models.
LREC/COLING
Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2024 J jnl
Structure-aware Fine-tuning for Code Pre-trained Models.
CoRR
Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2024 J jnl
Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends.
CoRR
Yunshi Lan, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou
2024 — conf
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills.
LREC/COLING
Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li
2024 A conf
UPFL: Unsupervised Personalized Federated Learning towards New Clients.
SDM
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2023 — conf
An Education-Oriented Collaborative Code Hosting Platform for Programming Courses.
ICCSE (2)
Yao Liu, Tianran Liu, Chaopeng Yi, Yuepeng Xu, Ming Gao, Wei Wang, Aoying Zhou
2023 J jnl
Boosting In-Context Learning with Factual Knowledge.
CoRR
Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao
2023 J jnl
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.
CoRR
Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao
2023 A* conf
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.
NeurIPS
Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao
2023 J jnl
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.
CoRR
Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao
2023 A conf
Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization.
ECAI
Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao
2023 J jnl
Decentralized Local Updates with Dual-Slow Estimation and Momentum-based Variance-Reduction for Non-Convex Optimization.
CoRR
Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao
2023 A* conf
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models.
EMNLP
Chengcheng Han, Xiaowei Du, Che Zhang, Yixin Lian, Xiang Li, Ming Gao, Baoyuan Wang
2023 J jnl
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models.
CoRR
Chengcheng Han, Xiaowei Du, Che Zhang, Yixin Lian, Xiang Li, Ming Gao, Baoyuan Wang
2023 — conf
Dynamic Feature Selection for Structural Image Content Recognition.
MMM (2)
Yingnan Fu, Shu Zheng, Wenyuan Cai, Ming Gao, Cheqing Jin, Aoying Zhou
2023 — conf
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition.
ICDAR (1)
Yingnan Fu, Tingting Liu, Ming Gao, Aoying Zhou
2023 — conf
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation.
EMNLP (Findings)
Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li
2023 J jnl
Exchanging-based Multimodal Fusion with Transformer.
CoRR
Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
2023 — conf
FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph.
ACL (industry)
Xiaodan Wang, Chengyu Wang, Lei Li, Zhixu Li, Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao, Ming Gao
2023 J jnl
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence.
CoRR
Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao
2023 A* conf
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting.
CVPR
Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao
2023 J jnl
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting.
CoRR
Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao
2023 A* conf
Graph Self-Contrast Representation Learning.
ICDM
Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao
2023 J jnl
Graph Self-Contrast Representation Learning.
CoRR
Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao
2023 A conf
HugNLP: A Unified and Comprehensive Library for Natural Language Processing.
CIKM
Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao
2023 J jnl
HugNLP: A Unified and Comprehensive Library for Natural Language Processing.
CoRR
Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao
2023 J jnl
INFER: Distilling knowledge from human-generated rules with uncertainty for STINs.
Inf. Sci.
Jiacheng Liu, Feilong Tang, Yanmin Zhu, Jiadi Yu, Long Chen, Ming Gao
2023 J jnl
Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction.
IEEE Trans. Knowl. Data Eng.
Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua
2023 J jnl
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives.
CoRR
Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao
2023 J jnl
Meta-Learning Siamese Network for Few-Shot Text Classification.
CoRR
Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou
2023 J jnl
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition.
CoRR
Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Wei Wu
2023 — conf
Meta-learning Siamese Network for Few-Shot Text Classification.
DASFAA (3)
Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou
2023 — conf
ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization.
KSEM (3)
Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian
2023 — conf
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning.
EMNLP (Findings)
Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao
2023 — conf
Personalized Programming Guidance Based on Deep Programming Learning Style Capturing.
ICCSE (1)
Yingfan Liu, Renyu Zhu, Ming Gao
2023 J jnl
Prioritized Propagation in Graph Neural Networks.
CoRR
Yao Cheng, Minjie Chen, Xiang Li, Caihua Shan, Ming Gao
2023 — conf
Reinforcement Learning Based Control Domain Division in LEO Satellite Networks.
HPCC/DSS/SmartCity/DependSys
Feilong Tang, Xue Li, Long Chen, Jiacheng Liu, Ming Gao, Yanqin Yang, Wenchao Xu, Heteng Zhang
2023 J jnl
Resizing codebook of vector quantization without retraining.
Multim. Syst.
Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou
2023 — conf
Robust Clustered Federated Learning.
DASFAA (1)
Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao
2023 A* conf
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.
WWW
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
2023 J jnl
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.
CoRR
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
2023 B conf
Symbol Location-Aware Network for Improving Handwritten Mathematical Expression Recognition.
ICMR
Yingnan Fu, Wenyuan Cai, Ming Gao, Aoying Zhou
2023 J jnl
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills.
CoRR
Qiushi Sun, Nuo Chen, Jianing Wang, Xiang Li, Ming Gao
2023 J jnl
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification.
CoRR
Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou
2023 J jnl
UPFL: Unsupervised Personalized Federated Learning towards New Clients.
CoRR
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2023 A* conf
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling.
AAAI
Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou
2023 — conf
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.
EMNLP (Findings)
Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li
2023 J jnl
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.
CoRR
Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li
2023 J jnl
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling.
CoRR
Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou
2023 — conf
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.
ACL (Findings)
Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2023 J jnl
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.
CoRR
Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2023 J jnl
You Can Backdoor Personalized Federated Learning.
CoRR
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2022 — conf
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors.
ACL (1)
Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai
2022 J jnl
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors.
CoRR
Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai
2022 — conf
ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge.
EMNLP (Findings)
Tingting Liu, Chengyu Wang, Xiangru Zhu, Lei Li, Minghui Qiu, Jun Huang, Ming Gao, Yanghua Xiao
2022 — conf
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.
EMNLP (Findings)
Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao
2022 J jnl
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.
CoRR
Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao
2022 B conf
Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge.
WISE
Lei Li, Dongxiang Zhang, Chengyu Wang, Cheqing Jin, Ming Gao, Aoying Zhou
2022 A* conf
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering.
EMNLP
Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao
2022 J jnl
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering.
CoRR
Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao
2022 A* conf
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding.
EMNLP
Jianing Wang, Wenkang Huang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Xiang Li, Ming Gao
2022 J jnl
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding.
CoRR
Jianing Wang, Wenkang Huang, Qiuhui Shi, Hongbin Wang, Minghui Qiu, Xiang Li, Ming Gao
2022 J jnl
Learning Vertex Representations for Bipartite Networks.
IEEE Trans. Knowl. Data Eng.
Ming Gao, Xiangnan He, Leihui Chen, Tingting Liu, Jinglin Zhang, Aoying Zhou
2022 A conf
Learning to Generalize in Heterogeneous Federated Networks.
CIKM
Cen Chen, Tiandi Ye, Li Wang, Ming Gao
2022 J jnl
On measuring network robustness for weighted networks.
Knowl. Inf. Syst.
Jianbing Zheng, Ming Gao, Ee-Peng Lim, David Lo, Cheqing Jin, Aoying Zhou
2022 — conf
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model.
ICDM (Workshops)
Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou
2022 A* conf
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition.
EMNLP
Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao
2022 J jnl
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition.
CoRR
Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao
2022 — conf
Towards Unified Prompt Tuning for Few-shot Text Classification.
EMNLP (Findings)
Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao
2022 J jnl
Towards Unified Prompt Tuning for Few-shot Text Classification.
CoRR
Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao
2022 A* conf
Understanding Long Programming Languages with Structure-Aware Sparse Attention.
SIGIR
Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou
2022 J jnl
Understanding Long Programming Languages with Structure-Aware Sparse Attention.
CoRR
Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou
2021 — conf
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification.
ACL/IJCNLP (Findings)
Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, Aoying Zhou
2021 J jnl
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification.
CoRR
Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, Aoying Zhou
2021 A* conf
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner.
ICDE
Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou
2021 J jnl
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model.
CoRR
Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou
2021 — conf
Trajectory Similarity Search with Multi-level Semantics.
ICA3PP (3)
Jianbing Zheng, Shuai Wang, Cheqing Jin, Ming Gao, Aoying Zhou, Liang Ni
2021 — conf
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification.
EMNLP (1)
Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, Ming Gao
2020 J jnl
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition.
CoRR
Yingnan Fu, Tingting Liu, Ming Gao, Aoying Zhou
2020 A* conf
Improving Neural Relation Extraction with Implicit Mutual Relations.
ICDE
Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou
2020 J jnl
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction.
CoRR
Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua
2020 J jnl
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner.
CoRR
Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou
2019 — conf
AgriKG: An Agricultural Knowledge Graph and Its Applications.
DASFAA (3)
Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou
2019 J jnl
EnAli: entity alignment across multiple heterogeneous data sources.
Frontiers Comput. Sci.
Chao Kong, Ming Gao, Chen Xu, Yunbin Fu, Weining Qian, Aoying Zhou
2019 J jnl
Improving Neural Relation Extraction with Implicit Mutual Relations.
CoRR
Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou
2019 J jnl
Learning Vertex Representations for Bipartite Networks.
CoRR
Ming Gao, Xiangnan He, Leihui Chen, Tingting Liu, Jinglin Zhang, Aoying Zhou
2019 — conf
On Improving Text Generation Via Integrating Text Coherence.
CCIS
Lisi Ai, Baoli Gao, Jianbing Zheng, Ming Gao
2019 J jnl
Optimizing model parameter for entity summarization across knowledge graphs.
J. Comb. Optim.
Jihong Yan, Chen Xu, Na Li, Ming Gao, Aoying Zhou
2018 J jnl
A retrospective of knowledge graphs.
Frontiers Comput. Sci.
Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou
2018 A* conf
BiNE: Bipartite Network Embedding.
SIGIR
Ming Gao, Leihui Chen, Xiangnan He, Aoying Zhou
2018 — book
Network Data Mining and Analysis
Ming Gao, Ee-Peng Lim, David Lo
2017 — conf
Automatic Text Generation via Text Extraction Based on Submodular.
APWeb/WAIM Workshops
Lisi Ai, Na Li, Jianbing Zheng, Ming Gao
2017 — conf
BMNR: Design and Implementation a Benchmark for Metrics of Network Robustness.
ICBK
Jianbing Zheng, Yanbin Li, Yanji Hou, Ming Gao, Aoying Zhou
2017 J jnl
BiRank: Towards Ranking on Bipartite Graphs.
CoRR
Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang
2017 J jnl
BiRank: Towards Ranking on Bipartite Graphs.
IEEE Trans. Knowl. Data Eng.
Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang
2017 — book
Discovery and Fusion of Uncertain Knowledge in Data
Kun Yue, Weiyi Liu, Hao Wu, Dapeng Tao, Ming Gao
2017 — conf
TLRec: Transfer Learning for Cross-Domain Recommendation.
ICBK
Leihui Chen, Jianbing Zheng, Ming Gao, Aoying Zhou, Wei Zeng, Hui Chen
2016 — conf
Compressing Streaming Graph Data Based on Triangulation.
APWeb Workshops
Liang Zhang, Ming Gao, Weining Qian, Aoying Zhou
2016 — conf
Context-Aware Entity Summarization.
WAIM (1)
Jihong Yan, Yanhua Wang, Ming Gao, Aoying Zhou
2016 — conf
Entity Matching Across Multiple Heterogeneous Data Sources.
DASFAA (1)
Chao Kong, Ming Gao, Chen Xu, Weining Qian, Aoying Zhou
2016 J jnl
Learning user credibility for product ranking.
Knowl. Inf. Syst.
Rong Zhang, Ming Gao, Xiaofeng He, Aoying Zhou
2016 J jnl
On detecting maximal quasi antagonistic communities in signed graphs.
Data Min. Knowl. Discov.
Ming Gao, Ee-Peng Lim, David Lo, Philips Kokoh Prasetyo
2015 — conf
ACID Encountering the CAP Theorem: Two Bank Case Studies.
IEEE WISA
Chao Kong, Ming Gao, Weining Qian, Minqi Zhou, Xueqing Gong, Rong Zhang, Aoying Zhou
2015 A* conf
CNL: Collective Network Linkage Across Heterogeneous Social Platforms.
ICDM
Ming Gao, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo, Aoying Zhou
2015 — conf
Challenges in Chinese knowledge graph construction.
ICDE Workshops
Chengyu Wang, Ming Gao, Xiaofeng He, Rong Zhang
2015 — conf
Computing Probability Threshold Set Similarity on Probabilistic Sets.
WAIM
Lei Wang, Ming Gao, Rong Zhang, Cheqing Jin, Aoying Zhou
2015 — conf
Discovering underpasses from walking trajectories.
ICDE Workshops
Qiuge Song, Cheqing Jin, Xiaoling Wang, Ming Gao, Aoying Zhou
2015 J jnl
Optimizing word set coverage for multi-event summarization.
J. Comb. Optim.
Jihong Yan, Wenliang Cheng, Chengyu Wang, Jun Liu, Ming Gao, Aoying Zhou
2015 — conf
Review Comment Analysis for Predicting Ratings.
WAIM
Rong Zhang, Yifan Gao, Wenzhe Yu, Pingfu Chao, Xiaoyan Yang, Ming Gao, Aoying Zhou
2015 C conf
User Generated Content Oriented Chinese Taxonomy Construction.
APWeb
Jinyang Li, Chengyu Wang, Xiaofeng He, Rong Zhang, Ming Gao
2014 A* conf
Predicting the popularity of web 2.0 items based on user comments.
SIGIR
Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, Kazunari Sugiyama
2014 J jnl
Real-time and Personalized Search over a Microblogging System.
Comput. J.
Ming Gao, Cheqing Jin, Weining Qian, Xueqing Gong
2013 A* conf
Similarity query processing for probabilistic sets.
ICDE
Ming Gao, Cheqing Jin, Wei Wang, Xuemin Lin, Aoying Zhou
2013 — conf
Social Sensing for Urban Crisis Management: The Case of Singapore Haze.
SocInfo
Philips Kokoh Prasetyo, Ming Gao, Ee-Peng Lim, Christie Napa Scollon
2012 — conf
Real-Time Search over a Microblogging System.
CGC
Ming Gao, Cheqing Jin, Weining Qian, Xueqing Gong
2011 — conf
Handling ER-top
DASFAA (1)
Cheqing Jin, Ming Gao, Aoying Zhou
2010 — conf
GRAMS
DASFAA Workshops
Peisen Yuan, Xiaoling Wang, Chaofeng Sha, Ming Gao, Aoying Zhou
2010 C conf
Recording How-Provenance on Probabilistic Databases.
APWeb
Ming Gao, Xiangnan He, Cheqing Jin, Xiaoling Wang, Aoying Zhou
2009 A* conf
Tracking High Quality Clusters over Uncertain Data Streams.
ICDE
Chen Zhang, Ming Gao, Aoying Zhou
2004 C conf
A Framework for Price-Based Resource Allocation on the Grid.
PDCAT
Jiadi Yu, Minglu Li, Ying Li, Feng Hong, Ming Gao