Answering Multiple Queries in Compressed Texts. - Bin Wang 015; Minghe Yu; Xiaochun Yang 001; Guoren Wang (WISA, 2012)

Entity linking on graph data. - Minghe Yu (WWW (Companion Volume), 2014)

Efficient Top-K SimRank-based Similarity Join. - Wenbo Tao; Minghe Yu; Guoliang Li 001 (Proc. VLDB Endow., 2014)

A Cost-based Method for Location-Aware Publish/Subscribe Services. - Minghe Yu; Guoliang Li 001; Jianhua Feng (CIKM, 2015)

Efficient Filtering Algorithms for Location-Aware Publish/Subscribe. - Minghe Yu; Guoliang Li 001; Ting Wang; Jianhua Feng; Zhiguo Gong (IEEE Trans. Knowl. Data Eng., 2015)

String similarity search and join: a survey. - Minghe Yu; Guoliang Li 001; Dong Deng 001; Jianhua Feng (Frontiers Comput. Sci., 2016)

A unified framework for string similarity search with edit-distance constraint. - Minghe Yu; Jin Wang 007; Guoliang Li 001; Yong Zhang 002; Dong Deng 001; Jianhua Feng (VLDB J., 2017)

Research and Implementation of Vehicle Tracking Algorithm Based on Multi-Feature Fusion. - Heng Guan; Huimin Liu; Minghe Yu; Zhibin Zhao (WISA, 2019)

Efficient Large-Scale Multi-graph Similarity Search Using MapReduce. - Jun Pang 002; Minghe Yu; Yu Gu 002 (WISA, 2019)

Research and Implementation of Anti-occlusion Algorithm for Vehicle Detection in Video Data. - Yongqi Wu; Zhichao Zhou; Lan Yao; Minghe Yu; Yongming Yan (WISA, 2019)

GraphBench: A Benchmark Suite for Graph Computing Systems. - Lei Wang; Minghe Yu (Bench, 2019)

AIBench: An Industry Standard Internet Service AI Benchmark Suite. - Wanling Gao; Fei Tang; Lei Wang 004; Jianfeng Zhan; Chunxin Lan; Chunjie Luo; Yunyou Huang; Chen Zheng 001; Jiahui Dai; Zheng Cao 003; Daoyi Zheng; Haoning Tang; et al. (CoRR, 2019)

Semantic Enhanced Top-k Similarity Search on Heterogeneous Information Networks. - Minghe Yu; Yun Zhang 020; Tiancheng Zhang 001; Ge Yu 001 (DASFAA (3), 2020)

AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite. - Wanling Gao; Fei Tang; Jianfeng Zhan; Chuanxin Lan; Chunjie Luo; Lei Wang 004; Jiahui Dai; Zheng Cao 003; Xiongwang Xiong; Zihan Jiang; Tianshu Hao; Fanda Fan; et al. (CoRR, 2020)

AIBench: An Industry Standard AI Benchmark Suite from Internet Services. - Fei Tang; Wanling Gao; Jianfeng Zhan; Chuanxin Lan; Xu Wen; Lei Wang 004; Chunjie Luo; Jiahui Dai; Zheng Cao 003; Xingwang Xiong; Zihan Jiang; Tianshu Hao; et al. (CoRR, 2020)

Graph-Encoder and Multi-decoders Solution Framework with Multi-attention. - Hui Cai; Tiancheng Zhang 001; Xianghui Sun; Minghe Yu; Ge Yu 001 (WISA, 2021)

AIBench Training: Balanced Industry-Standard AI Training Benchmarking. - Fei Tang; Wanling Gao; Jianfeng Zhan; Chuanxin Lan; Xu Wen; Lei Wang 004; Chunjie Luo; Zheng Cao 003; Xingwang Xiong; Zihan Jiang; Tianshu Hao; Fanda Fan; et al. (ISPASS, 2021)

A Tree-Based Indexing Approach for Diverse Textual Similarity Search. - Minghe Yu; Chengliang Chai; Ge Yu 001 (IEEE Access, 2021)

An Extensible Heterogeneous Network Embedding Framework for Knowledge Tracing. - Xue He; Tiancheng Zhang 001; Minghe Yu; Ge Yu 001; Yuhai Zhao (Int. J. Softw. Informatics, 2022)

Semantic enhanced Top-k similarity search on weighted HIN. - Yun Zhang 020; Minghe Yu; Tiancheng Zhang 001; Ge Yu 001 (Neural Comput. Appl., 2022)

MG-CR: Factor Memory Network and Graph Neural Network Based Personalized Course Recommendation. - Yun Zhang 020; Minghe Yu; Jintong Sun; Tiancheng Zhang 001; Ge Yu 001 (DASFAA (2), 2023)

BEM-SM: A BERT-Encoder Model with Symmetry Supervision Module for Solving Math Word Problem. - Yijia Zhang; Tiancheng Zhang 001; Peng Xie; Minghe Yu; Ge Yu 001 (Symmetry, 2023)

A subspace constraint based approach for fast hierarchical graph embedding. - Minghe Yu; Xu Chen 022; Xinhao Gu; Hengyu Liu 001; Lun Du (World Wide Web (WWW), 2023)

Knowledge-Aware Self-supervised Educational Resources Recommendation. - Jing Chen 037; Yu Zhang 018; Bohan Zhang; Zhenghao Liu 001; Minghe Yu; Bin Xu 003; Ge Yu 001 (WISA, 2024)

MMPDRec: A Denoising Model for Knowledge Concepts Recommendation Using Metapaths. - Bohan Zhang; Mo Chen 009; Jing Chen 037; Minghe Yu; Zhenghao Liu 001; Bin Xu 003; Ge Yu 001 (WISA, 2024)

Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning. - Jiajun Cui; Minghe Yu; Bo Jiang 016; Aimin Zhou; Jianyong Wang 001; Wei Zhang 056 (ICDE, 2024)

Enhancing the Code Debugging Ability of LLMs via Communicative Agent Based Data Refinement. - Weiqing Yang; Hanbin Wang; Zhenghao Liu 001; Xinze Li; Yukun Yan; Shuo Wang 013; Yu Gu 002; Minghe Yu; Zhiyuan Liu 001; Ge Yu 001 (CoRR, 2024)

A probabilistic generative model for tracking multi-knowledge concept mastery probability. - Hengyu Liu 001; Tiancheng Zhang 001; Fan Li; Minghe Yu; Ge Yu 001 (Frontiers Comput. Sci., 2024)

RTeX: An Efficient and Timing-Predictable Multithreaded Executor for ROS 2. - Songran Liu; Xu Jiang 004; Nan Guan; Zilong Wang; Minghe Yu; Wang Yi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models. - Yun Zhang 020; Xue Geng; Lizi Liao; Jintong Sun; Minghe Yu; Ge Yu 001 (ACL (Findings), 2025)

COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis. - Weiqing Yang; Hanbin Wang; Zhenghao Liu 001; Xinze Li; Yukun Yan; Shuo Wang 013; Yu Gu 002; Minghe Yu; Zhiyuan Liu 001; Ge Yu 001 (NAACL (Findings), 2025)

A probabilistic optimizer for binary neural networks. - Xue He; Xue Geng; Tiancheng Zhang 001; Minghe Yu; Min Wu; Ge Yu 001; Yuhai Zhao (Neurocomputing, 2025)

HG-SCC: A Subgraph-Aware Convolutional Few-Shot Classification Method on Heterogeneous Graphs. - Minghe Yu; Yun Zhang 020; Jintong Sun; Min Huang 001; Tiancheng Zhang 001; Ge Yu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Learning to Route Queries Across Knowledge Bases for Step-wise Retrieval-Augmented Reasoning. - Chunyi Peng; Zhipeng Xu; Zhenghao Liu 001; Yishan Li; Yukun Yan; Shuo Wang 013; Zhiyuan Liu 001; Yu Gu 002; Minghe Yu; Ge Yu 001; Maosong Sun 001 (CoRR, 2025)

EULER: Enhancing the Reasoning Ability of Large Language Models through Error-Induced Learning. - Zhuoyang Wu; Xinze Li; Zhenghao Liu 001; Yukun Yan; Zhiyuan Liu 001; Minghe Yu; Cheng Yang 002; Yu Gu 002; Ge Yu 001; Maosong Sun 001 (CoRR, 2025)

Automated Formalization via Conceptual Retrieval-Augmented LLMs. - Wangyue Lu; Lun Du; Sirui Li; Ke Weng; Haozhe Sun; Hengyu Liu 001; Minghe Yu; Tiancheng Zhang 001; Ge Yu 001 (CoRR, 2025)

Advancing Knowledge Tracing by Exploring Follow-up Performance Trends. - Hengyu Liu 001; Yushuai Li; Minghe Yu; Tiancheng Zhang 001; Ge Yu 001; Torben Bach Pedersen; Kristian Torp; Christian S. Jensen; Tianyi Li 005 (CoRR, 2025)