A Framework for Price-Based Resource Allocation on the Grid. - Jiadi Yu; Minglu Li 001; Ying Li 013; Feng Hong 001; Ming Gao 001 (PDCAT, 2004)

Tracking High Quality Clusters over Uncertain Data Streams. - Chen Zhang; Ming Gao 001; Aoying Zhou (ICDE, 2009)

Recording How-Provenance on Probabilistic Databases. - Ming Gao 001; Xiangnan He 001; Cheqing Jin; Xiaoling Wang 004; Aoying Zhou (APWeb, 2010)

GRAMS3: An Efficient Framework for XML Structural Similarity Search. - Peisen Yuan; Xiaoling Wang 004; Chaofeng Sha; Ming Gao 001; Aoying Zhou (DASFAA Workshops, 2010)

Handling ER-topk Query on Uncertain Streams. - Cheqing Jin; Ming Gao 001; Aoying Zhou (DASFAA (1), 2011)

Real-Time Search over a Microblogging System. - Ming Gao 001; Cheqing Jin; Weining Qian; Xueqing Gong (CGC, 2012)

Similarity query processing for probabilistic sets. - Ming Gao 001; Cheqing Jin; Wei Wang 011; Xuemin Lin 001; Aoying Zhou (ICDE, 2013)

Social Sensing for Urban Crisis Management: The Case of Singapore Haze. - Philips Kokoh Prasetyo; Ming Gao 001; Ee-Peng Lim; Christie Napa Scollon (SocInfo, 2013)

R-energy for evaluating robustness of dynamic networks. - Ming Gao 001; Ee-Peng Lim; David Lo 001 (WebSci, 2013)

Predicting the popularity of web 2.0 items based on user comments. - Xiangnan He 001; Ming Gao 001; Min-Yen Kan; Yiqun Liu 001; Kazunari Sugiyama (SIGIR, 2014)

Real-time and Personalized Search over a Microblogging System. - Ming Gao 001; Cheqing Jin; Weining Qian; Xueqing Gong (Comput. J., 2014)

ACID Encountering the CAP Theorem: Two Bank Case Studies. - Chao Kong; Ming Gao 001; Weining Qian; Minqi Zhou; Xueqing Gong; Rong Zhang 002; Aoying Zhou (IEEE WISA, 2015)

User Generated Content Oriented Chinese Taxonomy Construction. - Jinyang Li; Chengyu Wang 001; Xiaofeng He; Rong Zhang 002; Ming Gao 001 (APWeb, 2015)

Discovering underpasses from walking trajectories. - Qiuge Song; Cheqing Jin; Xiaoling Wang 004; Ming Gao 001; Aoying Zhou (ICDE Workshops, 2015)

Challenges in Chinese knowledge graph construction. - Chengyu Wang 001; Ming Gao 001; Xiaofeng He; Rong Zhang 002 (ICDE Workshops, 2015)

CNL: Collective Network Linkage Across Heterogeneous Social Platforms. - Ming Gao 001; Ee-Peng Lim; David Lo 001; Feida Zhu 001; Philips Kokoh Prasetyo; Aoying Zhou (ICDM, 2015)

Computing Probability Threshold Set Similarity on Probabilistic Sets. - Lei Wang; Ming Gao 001; Rong Zhang 002; Cheqing Jin; Aoying Zhou (WAIM, 2015)

Review Comment Analysis for Predicting Ratings. - Rong Zhang 002; Yifan Gao; Wenzhe Yu; Pingfu Chao; Xiaoyan Yang; Ming Gao 001; Aoying Zhou (WAIM, 2015)

Optimizing word set coverage for multi-event summarization. - Jihong Yan; Wenliang Cheng; Chengyu Wang 001; Jun Liu 002; Ming Gao 001; Aoying Zhou (J. Comb. Optim., 2015)

Compressing Streaming Graph Data Based on Triangulation. - Liang Zhang; Ming Gao 001; Weining Qian; Aoying Zhou (APWeb Workshops, 2016)

Entity Matching Across Multiple Heterogeneous Data Sources. - Chao Kong; Ming Gao 001; Chen Xu 001; Weining Qian; Aoying Zhou (DASFAA (1), 2016)

Context-Aware Entity Summarization. - Jihong Yan; Yanhua Wang; Ming Gao 001; Aoying Zhou (WAIM (1), 2016)

On detecting maximal quasi antagonistic communities in signed graphs. - Ming Gao 001; Ee-Peng Lim; David Lo 001; Philips Kokoh Prasetyo (Data Min. Knowl. Discov., 2016)

Learning user credibility for product ranking. - Rong Zhang 002; Ming Gao 001; Xiaofeng He; Aoying Zhou (Knowl. Inf. Syst., 2016)

Discovery and Fusion of Uncertain Knowledge in Data - Kun Yue; Weiyi Liu; Hao Wu 010; Dapeng Tao; Ming Gao 001 (WorldScientific, 2017)

Automatic Text Generation via Text Extraction Based on Submodular. - Lisi Ai; Na Li; Jianbing Zheng 001; Ming Gao 001 (APWeb/WAIM Workshops, 2017)

TLRec: Transfer Learning for Cross-Domain Recommendation. - Leihui Chen; Jianbing Zheng 001; Ming Gao 001; Aoying Zhou; Wei Zeng; Hui Chen (ICBK, 2017)

BMNR: Design and Implementation a Benchmark for Metrics of Network Robustness. - Jianbing Zheng 001; Yanbin Li; Yanji Hou; Ming Gao 001; Aoying Zhou (ICBK, 2017)

BiRank: Towards Ranking on Bipartite Graphs. - Xiangnan He 001; Ming Gao 001; Min-Yen Kan; Dingxian Wang (IEEE Trans. Knowl. Data Eng., 2017)

Network Data Mining and Analysis - Ming Gao 001; Ee-Peng Lim; David Lo 001 (WorldScientific, 2018)

BiNE: Bipartite Network Embedding. - Ming Gao 001; Leihui Chen; Xiangnan He 001; Aoying Zhou (SIGIR, 2018)

A retrospective of knowledge graphs. - Jihong Yan; Chengyu Wang 001; Wenliang Cheng; Ming Gao 001; Aoying Zhou (Frontiers Comput. Sci., 2018)

On Improving Text Generation Via Integrating Text Coherence. - Lisi Ai; Baoli Gao; Jianbing Zheng 001; Ming Gao 001 (CCIS, 2019)

AgriKG: An Agricultural Knowledge Graph and Its Applications. - Yuanzhe Chen; Jun Kuang; Dawei Cheng; Jianbin Zheng 001; Ming Gao 001; Aoying Zhou (DASFAA (3), 2019)

EnAli: entity alignment across multiple heterogeneous data sources. - Chao Kong; Ming Gao 001; Chen Xu 001; Yunbin Fu; Weining Qian; Aoying Zhou (Frontiers Comput. Sci., 2019)

Optimizing model parameter for entity summarization across knowledge graphs. - Jihong Yan; Chen Xu 001; Na Li; Ming Gao 001; Aoying Zhou (J. Comb. Optim., 2019)

Improving Neural Relation Extraction with Implicit Mutual Relations. - Jun Kuang; Yixin Cao 002; Jianbing Zheng 001; Xiangnan He 001; Ming Gao 001; Aoying Zhou (ICDE, 2020)

Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification. - Chengcheng Han 004; Zeqiu Fan; Dongxiang Zhang; Minghui Qiu; Ming Gao 001; Aoying Zhou (ACL/IJCNLP (Findings), 2021)

TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification. - Chengyu Wang 001; Jianing Wang 002; Minghui Qiu; Jun Huang 007; Ming Gao 001 (EMNLP (1), 2021)

Trajectory Similarity Search with Multi-level Semantics. - Jianbing Zheng 001; Shuai Wang; Cheqing Jin; Ming Gao 001; Aoying Zhou; Liang Ni 003 (ICA3PP (3), 2021)

On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner. - Na Li; Renyu Zhu; Xiaoxu Zhou; Xiangnan He 001; Wenyuan Cai; Ming Gao 001; Aoying Zhou (ICDE, 2021)

A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. - Renyu Zhu; Lei Yuan; Xiang Li 067; Ming Gao 001; Wenyuan Cai (ACL (1), 2022)

Learning to Generalize in Heterogeneous Federated Networks. - Cen Chen 001; Tiandi Ye; Li Wang 056; Ming Gao 001 (CIKM, 2022)

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. - Nuo Chen 002; Qiushi Sun; Renyu Zhu; Xiang Li 067; Xuesong Lu; Ming Gao 001 (EMNLP (Findings), 2022)

ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge. - Tingting Liu; Chengyu Wang 001; Xiangru Zhu; Lei Li 043; Minghui Qiu; Jun Huang 007; Ming Gao 001; Yanghua Xiao (EMNLP (Findings), 2022)

Towards Unified Prompt Tuning for Few-shot Text Classification. - Jianing Wang 002; Chengyu Wang 001; Fuli Luo; Chuanqi Tan; Minghui Qiu; Fei Yang; Qiuhui Shi; Songfang Huang; Ming Gao 001 (EMNLP (Findings), 2022)

KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. - Jianing Wang 002; Chengyu Wang 001; Minghui Qiu; Qiuhui Shi; Hongbin Wang; Jun Huang 007; Ming Gao 001 (EMNLP, 2022)

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. - Jianing Wang 002; Chengyu Wang 001; Chuanqi Tan; Minghui Qiu; Songfang Huang; Jun Huang 007; Ming Gao 001 (EMNLP, 2022)

Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. - Jianing Wang 002; Wenkang Huang; Minghui Qiu; Qiuhui Shi; Hongbin Wang; Xiang Li 067; Ming Gao 001 (EMNLP, 2022)

Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. - Renyu Zhu; Dongxiang Zhang; Chengcheng Han 004; Ming Gao 001; Xuesong Lu; Weining Qian; Aoying Zhou (ICDM (Workshops), 2022)

Understanding Long Programming Languages with Structure-Aware Sparse Attention. - Tingting Liu; Chengyu Wang 001; Cen Chen 001; Ming Gao 001; Aoying Zhou (SIGIR, 2022)

Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge. - Lei Li 043; Dongxiang Zhang; Chengyu Wang 001; Cheqing Jin; Ming Gao 001; Aoying Zhou (WISE, 2022)

On measuring network robustness for weighted networks. - Jianbing Zheng 001; Ming Gao 001; Ee-Peng Lim; David Lo 001; Cheqing Jin; Aoying Zhou (Knowl. Inf. Syst., 2022)

Learning Vertex Representations for Bipartite Networks. - Ming Gao 001; Xiangnan He 001; Leihui Chen; Tingting Liu; Jinglin Zhang; Aoying Zhou (IEEE Trans. Knowl. Data Eng., 2022)

Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. - Jianing Wang 002; Chengyu Wang 001; Jun Huang 007; Ming Gao 001; Aoying Zhou (AAAI, 2023)

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. - Chengcheng Han 004; Liqing Cui; Renyu Zhu; Jianing Wang 002; Nuo Chen 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (ACL (Findings), 2023)

FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph. - Xiaodan Wang; Chengyu Wang 001; Lei Li 043; Zhixu Li; Ben Chen; Linbo Jin; Jun Huang 007; Yanghua Xiao; Ming Gao 001 (ACL (industry), 2023)

HugNLP: A Unified and Comprehensive Library for Natural Language Processing. - Jianing Wang 002; Nuo Chen 002; Qiushi Sun; Wenkang Huang; Chengyu Wang 001; Ming Gao 001 (CIKM, 2023)

GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting. - Kangyang Luo; Xiang Li 067; Yunshi Lan; Ming Gao 001 (CVPR, 2023)

Meta-learning Siamese Network for Few-Shot Text Classification. - Chengcheng Han 004; Yuhe Wang; Yingnan Fu; Xiang Li 067; Minghui Qiu; Ming Gao 001; Aoying Zhou (DASFAA (3), 2023)

Robust Clustered Federated Learning. - Tiandi Ye; Senhui Wei; Jamie Cui; Cen Chen 001; Yingnan Fu; Ming Gao 001 (DASFAA (1), 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 067; Ming Gao 001 (ECAI, 2023)

DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models. - Chengcheng Han 004; Xiaowei Du; Che Zhang; Yixin Lian; Xiang Li 067; Ming Gao 001; Baoyuan Wang (EMNLP, 2023)

Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. - Nuo Chen 002; Qiushi Sun; Jianing Wang 002; Ming Gao 001; Xiaoli Li 001; Xiang Li 067 (EMNLP (Findings), 2023)

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. - Nuo Chen 002; Qiushi Sun; Jianing Wang 002; Xiang Li 067; Ming Gao 001 (EMNLP (Findings), 2023)

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. - Jianing Wang 002; Qiushi Sun; Nuo Chen 002; Chengyu Wang 001; Jun Huang 007; Ming Gao 001; Xiang Li 067 (EMNLP (Findings), 2023)

Reinforcement Learning Based Control Domain Division in LEO Satellite Networks. - Feilong Tang; Xue Li; Long Chen 025; Jiacheng Liu 001; Ming Gao 001; Yanqin Yang; Wenchao Xu 002; Heteng Zhang (HPCC/DSS/SmartCity/DependSys, 2023)

An Education-Oriented Collaborative Code Hosting Platform for Programming Courses. - Yao Liu 017; Tianran Liu; Chaopeng Yi; Yuepeng Xu; Ming Gao 001; Wei Wang 011; Aoying Zhou (ICCSE (2), 2023)

Personalized Programming Guidance Based on Deep Programming Learning Style Capturing. - Yingfan Liu; Renyu Zhu; Ming Gao 001 (ICCSE (1), 2023)

EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition. - Yingnan Fu; Tingting Liu; Ming Gao 001; Aoying Zhou (ICDAR (1), 2023)

Graph Self-Contrast Representation Learning. - Minjie Chen; Yao Cheng; Ye Wang; Xiang Li 067; Ming Gao 001 (ICDM, 2023)

ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. - Moming Tang; Chengyu Wang 001; Jianing Wang 002; Cen Chen 001; Ming Gao 001; Weining Qian (KSEM (3), 2023)

Symbol Location-Aware Network for Improving Handwritten Mathematical Expression Recognition. - Yingnan Fu; Wenyuan Cai; Ming Gao 001; Aoying Zhou (ICMR, 2023)

Dynamic Feature Selection for Structural Image Content Recognition. - Yingnan Fu; Shu Zheng; Wenyuan Cai; Ming Gao 001; Cheqing Jin; Aoying Zhou (MMM (2), 2023)

DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning. - Kangyang Luo; Shuai Wang; Yexuan Fu; Xiang Li 067; Yunshi Lan; Ming Gao 001 (NeurIPS, 2023)

SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. - Xiang Li 067; Tiandi Ye; Caihua Shan; Dongsheng Li 002; Ming Gao 001 (WWW, 2023)

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. - Xiang Li 067; Tiandi Ye; Caihua Shan; Dongsheng Li 002; Ming Gao 001 (CoRR, 2023)

Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition. - Chengcheng Han 004; Renyu Zhu; Jun Kuang; Fengjiao Chen; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Wei Wu (CoRR, 2023)

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. - Jianing Wang 002; Qiushi Sun; Nuo Chen 002; Xiang Li 067; Ming Gao 001 (CoRR, 2023)

You Can Backdoor Personalized Federated Learning. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (CoRR, 2023)

TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification. - Jianing Wang 002; Chengyu Wang 001; Cen Chen 001; Ming Gao 001; Jun Huang 007; Aoying Zhou (CoRR, 2023)

Exchanging-based Multimodal Fusion with Transformer. - Renyu Zhu; Chengcheng Han 004; Yong Qian; Qiushi Sun; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Yunsen Xian (CoRR, 2023)

Boosting In-Context Learning with Factual Knowledge. - Jianing Wang 002; Chengyu Wang 001; Chuanqi Tan; Jun Huang 007; Ming Gao 001 (CoRR, 2023)

Prioritized Propagation in Graph Neural Networks. - Yao Cheng; Minjie Chen; Xiang Li 067; Caihua Shan; Ming Gao 001 (CoRR, 2023)

Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction. - Yixin Cao 002; Jun Kuang; Ming Gao 001; Aoying Zhou; Yonggang Wen 001; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2023)

Resizing codebook of vector quantization without retraining. - Lei Li 043; Tingting Liu; Chengyu Wang 001; Minghui Qiu; Cen Chen 001; Ming Gao 001; Aoying Zhou (Multim. Syst., 2023)

INFER: Distilling knowledge from human-generated rules with uncertainty for STINs. - Jiacheng Liu 001; Feilong Tang; Yanmin Zhu 006; Jiadi Yu; Long Chen 025; Ming Gao 001 (Inf. Sci., 2023)

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. - Jianing Wang 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (ACL (1), 2024)

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. - Jianing Wang 002; Junda Wu; Yupeng Hou; Yao Liu 017; Ming Gao 001; Julian J. McAuley (ACL (Findings), 2024)

Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition. - Chengcheng Han 004; Renyu Zhu; Jun Kuang; Fengjiao Chen; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Yunsen Xian (LREC/COLING, 2024)

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. - Qiushi Sun; Chengcheng Han 004; Nuo Chen 002; Renyu Zhu; Jingyang Gong; Xiang Li 067; Ming Gao 001 (LREC/COLING, 2024)

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. - Qiushi Sun; Nuo Chen 002; Jianing Wang 002; Ming Gao 001; Xiang Li 067 (LREC/COLING, 2024)

Structure-aware Fine-tuning for Code Pre-trained Models. - Jiayi Wu 001; Renyu Zhu; Nuo Chen 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (LREC/COLING, 2024)

Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence. - Shu Zheng; Tiandi Ye; Xiang Li 067; Ming Gao 001 (ICASSP, 2024)

DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning. - Kangyang Luo; Shuai Wang; Yexuan Fu; Renrong Shao; Xiang Li 067; Yunshi Lan; Ming Gao 001; Jinlong Shu (ICDM, 2024)

Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning. - Jianing Wang 002; Chengyu Wang 001; Chuanqi Tan; Jun Huang 007; Ming Gao 001 (NAACL-HLT (Findings), 2024)

Cross-model Control: Improving Multiple Large Language Models in One-time Training. - Jiayi Wu 001; Hao Sun 015; Hengyi Cai; Lixin Su; Shuaiqiang Wang; Dawei Yin; Xiang Li 067; Ming Gao 001 (NeurIPS, 2024)

UPFL: Unsupervised Personalized Federated Learning towards New Clients. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (SDM, 2024)

Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends. - Yunshi Lan; Xinyuan Li; Hanyue Du; Xuesong Lu; Ming Gao 001; Weining Qian; Aoying Zhou (CoRR, 2024)

Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator. - Kangyang Luo; Shuai Wang; Xiang Li 067; Yunshi Lan; Ming Gao 001; Jinlong Shu (CoRR, 2024)

Practical Network Modeling Using Weak Supervision Signals for Human-Centric Networking in Metaverse. - Jiacheng Liu 001; Feilong Tang; Zhijian Zheng; Hao Liu 085; Xiaofeng Hou; Long Chen 025; Ming Gao 001; Jiadi Yu; Yanmin Zhu 006 (IEEE J. Sel. Areas Commun., 2024)

Accelerating BERT inference with GPU-efficient exit prediction. - Lei Li 043; Chengyu Wang 001; Minghui Qiu; Cen Chen 001; Ming Gao 001; Aoying Zhou (Frontiers Comput. Sci., 2024)

BapFL: You can Backdoor Personalized Federated Learning. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (ACM Trans. Knowl. Discov. Data, 2024)

PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. - Jiayi Wu 001; Hengyi Cai; Lingyong Yan; Hao Sun 015; Xiang Li 067; Shuaiqiang Wang; Dawei Yin; Ming Gao 001 (NAACL (Long Papers), 2025)