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Ming Du
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2020 – today
- 2024
- [j26]Yongqiang Ma
, Wen Zhang, Ming Du, Haodong Jing
Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex. Int. J. Neural Syst. 34(1): 2450002:1-2450002:15 (2024) - [j25]Jing Bai, Junfeng Zhou
HitSim: An Efficient Algorithm for Single-Source and Top-k SimRank Computation. Inf. 15(6): 348 (2024) - [j24]Ming Du, Xingran Xie, Jing Luo, Jin Li:
Meta-learning-based Inductive logistic matrix completion for prediction of kinase inhibitors. J. Cheminformatics 16(1): 44 (2024) - [j23]Bo Xing, Yuting Tan, Junfeng Zhou, Ming Du:
Truss community search in uncertain graphs. Knowl. Inf. Syst. 66(12): 7739-7773 (2024) - [j22]Yuting Tan, Junfeng Zhou, Xinqi Rong, Ming Du, Caiyun Qi:
Efficient computation of maximum weighted independent sets on weighted dynamic graph. J. Supercomput. 80(8): 10418-10443 (2024) - [c42]Bo Xu, Yifei Wu, Shouang Wei, Ming Du, Hongya Wang:
Adaptive Reinforcement Tuning Language Models as Hard Data Generators for Sentence Representation. LREC/COLING 2024: 358-371 - [c41]Zhizhang Hu, Shasha Li, Ming Du, Arnab Dhua, Douglas Gray:
De-noised Vision-language Fusion Guided by Visual Cues for E-commerce Product Search. CVPR Workshops 2024: 1986-1996 - [c40]Zhizhang Hu, Shasha Li, Ming Du, Arnab Dhua, Douglas Gray:
Multimodal Learning with Online Text Cleaning for E-commerce Product Search. eCom@SIGIR 2024 - [c39]Bo Xu, Shufei Li, Yifei Wu, Shouang Wei, Ming Du, Hongya Wang, Hui Song:
Chain-of-Program Prompting with Open-Source Large Language Models for Text-to-SQL. IJCNN 2024: 1-8 - [c38]Bo Xu, Yifei Wu, Shufei Li, Hui Song, Ming Du, Hongya Wang:
A Decomposition Framework for Class Incremental Text Classification with Dual Prompt Tuning. IJCNN 2024: 1-8 - [c37]Huijun Tang, Ming Du, Huaming Wu, Pengfei Jiao:
Link Topology-Adaptive Offloading Method On Vehicular Edge Computing. INFOCOM (Workshops) 2024: 1-2 - [i8]Lian Chen, Junfeng Zhou, Ming Du, Sheng Yu, Xian Tang, Ziyang Chen:
Efficient k-step Weighted Reachability Query Processing Algorithms. CoRR abs/2403.13181 (2024) - [i7]Ming Du, Tao Zhou, Junjing Deng, Daniel J. Ching, Steven Henke, Mathew J. Cherukara:
Predicting ptychography probe positions using single-shot phase retrieval neural network. CoRR abs/2405.20910 (2024) - 2023
- [j21]Ziwei Hu
A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images. Biomed. Signal Process. Control. 79(Part): 104261 (2023) - [j20]Zhechen Guo, Junlin Lan
Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning. Biomed. Signal Process. Control. 86(Part C): 105336 (2023) - [j19]Sufen Wang
Exploration of the multiple impact of learning styles on learners' cognitive information processing. Interact. Learn. Environ. 31(3): 1607-1622 (2023) - [j18]Ming Du, Pengfei Jiao
Role-oriented representation learning via fusioning local and higher-order feature. Knowl. Based Syst. 282: 111115 (2023) - [j17]Kaixiang Yang, Hongya Wang, Ming Du, Zhizheng Wang, Zongyuan Tan, Jie Zhang, Yingyuan Xiao:
An efficient indexing technique for billion-scale nearest neighbor search. Multim. Tools Appl. 82(20): 31673-31689 (2023) - [j16]Ming Du, Wanting Ma, Yuting Tan, Junfeng Zhou:
Continuous community search with attribute constraints in temporal graphs. J. Supercomput. 79(18): 21089-21115 (2023) - [j15]Junfeng Zhou
Fast Reachability Queries Answering Based on $\mathsf{RCN}$RCN Reduction. IEEE Trans. Knowl. Data Eng. 35(3): 2590-2609 (2023) - [c36]Bo Xu, Shizhou Huang, Ming Du, Hongya Wang, Hui Song, Yanghua Xiao, Xin Lin:
A Unified Visual Prompt Tuning Framework with Mixture-of-Experts for Multimodal Information Extraction. DASFAA (3) 2023: 544-554 - [c35]Bo Xu, Zhengqi Zhang, Ming Du, Hongya Wang, Hui Song, Yanghua Xiao:
Semi-supervised Learning for Fine-Grained Entity Typing with Mixed Label Smoothing and Pseudo Labeling. DASFAA (3) 2023: 727-736 - [c34]Haixiang Zhao, Guojing Zhang, Ming Du, Xiaoying Wang:
Improving Global Precipitation in Numerical Weather Prediction Systems based on Deep Learning Techniques. HPCC/DSS/SmartCity/DependSys 2023: 333-339 - [c33]Feng Yin, Xiaoqiang Liu, Ming Du, Hui Song, Bo Xu, Zhenni Feng:
The Practice of Artificial Intelligence Education for Non-computer Science Majors in Universities. ICCSE (2) 2023: 113-120 - [c32]Bo Xu, Nian Liu, Luyi Cheng, Shizhou Huang, Shouang Wei, Ming Du, Hui Song, Hongya Wang:
Knowledge Graph Enhanced Sentential Relation Extraction via Dual Heterogeneous Graph Context Selection. IJCNN 2023: 1-7 - [c31]Bo Xu, Shouang Wei, Luyi Cheng, Shizhou Huang, Hui Song, Ming Du, Hongya Wang:
HSimCSE: Improving Contrastive Learning of Unsupervised Sentence Representation with Adversarial Hard Positives and Dual Hard Negatives. IJCNN 2023: 1-8 - [i6]Zongyuan Tan, Hongya Wang, Bo Xu, Minjie Luo, Ming Du:
Fast Locality Sensitive Hashing with Theoretical Guarantee. CoRR abs/2309.15479 (2023) - 2022
- [j14]Haiyong Wang, Wei Mao, Shenglei Zhao, Yuanhao He, Jiabo Chen, Ming Du, Xuefeng Zheng, Chong Wang, Chunfu Zhang, Jincheng Zhang, Yue Hao:
Unidirectional p-GaN gate HEMT with composite source-drain field plates. Sci. China Inf. Sci. 65(2) (2022) - [j13]Jing Bai
Index-based top kα-maximal-clique enumeration over uncertain graphs. J. Supercomput. 78(17): 19372-19400 (2022) - [c30]Zongyuan Tan, Hongya Wang, Ming Du, Jie Zhang:
DASH: Data Aware Locality Sensitive Hashing. APWeb/WAIM (2) 2022: 85-100 - [c29]Bo Xu, Shizhou Huang, Ming Du, Hongya Wang, Hui Song, Chaofeng Sha, Yanghua Xiao:
Different Data, Different Modalities! Reinforced Data Splitting for Effective Multimodal Information Extraction from Social Media Posts. COLING 2022: 1855-1864 - [c28]Bo Xu, Zhengqi Zhang, Chaofeng Sha, Ming Du, Hui Song, Hongya Wang:
A Three-Stage Curriculum Learning Framework with Hierarchical Label Smoothing for Fine-Grained Entity Typing. DASFAA (3) 2022: 289-296 - [c27]Junfeng Zhou, Jeffrey Xu Yu, Yaxian Qiu, Xian Tang, Ziyang Chen, Ming Du:
Fast Reachability Queries Answering based on RCN Reduction (Extended abstract). ICDE 2022: 1543-1544 - [c26]Haodong Jing, Ming Du, Yongqiang Ma, Nanning Zheng:
Exploring the Relationship Between Visual Information and Language Semantic Concept in the Human Brain. AIAI (1) 2022: 394-406 - [c25]Ming Du
Hierarchical Causality Network: Find the Effective Connectivity in Visual Cortex. AIAI (1) 2022: 407-419 - [c24]Ming Du, Luyi Cheng, Bo Xu, Zhijun Wang, Sufen Wang, Junyi Yuan, Changqing Pan:
TS-DST: A Two-Stage Framework for Schema-Guided Dialogue State Tracking with Selected Dialogue History. IJCNN 2022: 1-8 - [c23]Bo Xu, Zhong Sun, Ming Du, Hui Song, Hongya Wang:
Knowledge Base Entity Typing From Text via Entity-Aware Heterogeneous Graph Attention Network. IJCNN 2022: 1-7 - [c22]Ming Du, Arnau Ramisa, Amit Kumar K. C, Sampath Chanda, Mengjiao Wang
Amazon Shop the Look: A Visual Search System for Fashion and Home. KDD 2022: 2822-2830 - [c21]Hongya Wang, Shunxin Dai, Ming Du, Bo Xu, Mingyong Li
Revisiting Performance Measures for Cross-Modal Hashing. ICMR 2022: 536-544 - [i5]Junfeng Zhou, Xian Tang, Ming Du:
Efficient Reachability Ratio Computation for 2-hop Labeling Scheme. CoRR abs/2203.02715 (2022) - [i4]Yuhong Jin, Lei Hou, Ming Du, Yushu Chen:
A Wavelet Transform and self-supervised learning-based framework for bearing fault diagnosis with limited labeled data. CoRR abs/2207.10432 (2022) - 2021
- [j12]Xiaozhe Li
buTCS: An Optimized Algorithm for Estimating the Size of Transitive Closure. IEEE Access 9: 116528-116539 (2021) - [j11]Jing Bai
Efficient (k, α)-Maximal-Cliques Enumeration Over Uncertain Graphs. IEEE Access 9: 149338-149348 (2021) - [c20]Kaixiang Yang, Hongya Wang, Ming Du, Zhizheng Wang, Zongyuan Tan, Yingyuan Xiao:
Hierarchical Link and Code: Efficient Similarity Search for Billion-Scale Image Sets. PG (Short Papers, Posters, and Work-in-Progress Papers) 2021: 81-86 - [c19]Bo Xu, Zhengqi Zhang, Xiangsan Zhao, Hui Song, Ming Du:
Improving Sentence-Level Relation Classification via Machine Reading Comprehension and Reinforcement Learning. PRICAI (2) 2021: 299-310 - [i3]Kaixiang Yang, Hongya Wang, Bo Xu, Wei Wang, Yingyuan Xiao, Ming Du, Junfeng Zhou:
Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only. CoRR abs/2110.00696 (2021) - 2020
- [j10]Sufen Wang, Minmin Pang
Information Extraction for Intestinal Cancer Electronic Medical Records. IEEE Access 8: 125923-125934 (2020) - [c18]Ming Du, Wenkun Wang, Sufen Wang, Bo Xu:
A unified framework for attribute extraction in electronic medical records. ACAI 2020: 83:1-83:7 - [c17]Ming Du, Dandan Cao, Xi Chen, Shurui Fan, Zirui Li:
Short-Term Demand Forecasting of Shared Bicycles Based on Long Short-Term Memory Neural Network Model. ICAIS (1) 2020: 350-361 - [i2]Ming Du, Saugat Kandel, Junjing Deng, Xiaojing Huang, Arnaud Demortiere, Tuan Tu Nguyen, Rémi Tucoulou, Vincent De Andrade, Qiaoling Jin, Chris Jacobsen:
Adorym: A multi-platform generic x-ray image reconstruction framework based on automatic differentiation. CoRR abs/2012.12686 (2020)
2010 – 2019
- 2019
- [j9]Ming Du
HT: A Novel Labeling Scheme for k-Hop Reachability Queries on DAGs. IEEE Access 7: 172110-172122 (2019) - [j8]Xin Feng, Youni Jiang, Xuejiao Yang, Ming Du, Xin Li:
Computer vision algorithms and hardware implementations: A survey. Integr. 69: 309-320 (2019) - [j7]Ming Du
Distractor-Aware Deep Regression for Visual Tracking. Sensors 19(2): 387 (2019) - [c16]Hong Zhang, Fa Zhang, Fei Ren, Zhonglie Wang, Xiaosong Rao, Li Li, Junbo Hao, Rui Yan
Predicting Tumor Mutational Burden from Liver Cancer Pathological Images Using Convolutional Neural Network. BIBM 2019: 920-925 - [c15]Si-yu Yu, Nanning Zheng, Hao Wu, Ming Du, Badong Chen
Exploring Brain Effective Connectivity in Visual Perception Using a Hierarchical Correlation Network. AIAI 2019: 223-235 - [c14]Ming Du, Minmin Pang, Bo Xu:
Multi-task Learning for Attribute Extraction from Unstructured Electronic Medical Records. JIST (2) 2019: 117-128 - [c13]Ming Du, Jun Jiang, Zhengwei Jiang, Zhigang Lu, Xiangyu Du:
PRTIRG: A Knowledge Graph for People-Readable Threat Intelligence Recommendation. KSEM (1) 2019: 47-59 - [i1]Son Tran, Ming Du, Sampath Chanda, R. Manmatha, Cj Taylor:
Searching for Apparel Products from Images in the Wild. CoRR abs/1907.02244 (2019) - 2018
- [j6]Sufen Wang, Kejing Zhang, Ming Du, Zhijun Wang:
Development and measurement validity of an instrument for the impact of technology-mediated learning on learning processes. Comput. Educ. 121: 131-142 (2018) - [c12]Ryan Chard, Rafael Vescovi, Ming Du
High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation. AI-Science@HPDC 2018: 1:1-1:7 - 2016
- [j5]Ming Du, Xiangjun Zhao:
改进Retinex的光照变化人脸图像增强算法 (Face Enhancement Algorithm with Variable Illumination Based on Improved Retinex). 计算机科学 43(2): 105-108 (2016) - [j4]Ming Du, Rama Chellappa:
Face Association for Videos Using Conditional Random Fields and Max-Margin Markov Networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1762-1773 (2016) - [c11]Shi Qiu, Yongsheng Dong, Xiaoqiang Lu, Ming Du:
Gestalt Principle Based Change Detection and Background Reconstruction. IVS 2016: 20-29 - 2014
- [b1]Ming Du:
Recognition of Faces from single and Multi-View Videos. University of Maryland, College Park, MD, USA, 2014 - [j3]Ming Du, Aswin C. Sankaranarayanan, Rama Chellappa:
Robust Face Recognition From Multi-View Videos. IEEE Trans. Image Process. 23(3): 1105-1117 (2014) - [c10]Ming Du, Rama Chellappa:
Video-Based Face Recognition Using the Intra-Personal/Extra-Personal Difference Dictionary. BMVC 2014 - [c9]Zhijun Wang, Keyuan Jiang, Ming Du, Jiajin Le:
Content-based query for class-level tagged items via the EPC network. IOT 2014: 43-48 - 2013
- [j2]Ming Du, Xiaoming Nan, Ling Guan:
Monocular Human Motion Tracking by Using DE-MC Particle Filter. IEEE Trans. Image Process. 22(10): 3852-3865 (2013) - 2012
- [c8]Ming Du, Rama Chellappa:
Face Association across Unconstrained Video Frames Using Conditional Random Fields. ECCV (7) 2012: 167-180 - 2011
- [p1]Rama Chellappa, Ming Du, Pavan K. Turaga, Shaohua Kevin Zhou:
Face Tracking and Recognition in Video. Handbook of Face Recognition 2011: 323-351 - 2010
- [c7]Jueping Cai, Zheng Liu, Ming Du, Zan Li, Lei Yao:
Integrated Modeling, Generation and Optimization for Packet based NoC Topology. AINA 2010: 293-298 - [c6]Zheng Liu, Jueping Cai, Ming Du, Lei Yao, Zan Li:
Hybrid Communication Reconfigurable Network on Chip for MPSoC. AINA 2010: 356-361
2000 – 2009
- 2009
- [c5]Yan Zhao, Ming Du, Jiajin Le, Yongcheng Luo:
A Survey on Privacy Preserving Approaches in Data Publishing. DBTA 2009: 128-131 - [c4]Ming Du, Yan Zhao, Jiajin Le:
Using Flash Memory as Storage for Read-Intensive Database. DBTA 2009: 472-475 - 2008
- [j1]Ye Jin, Ling Song, Xianglong Tang, Ming Du:
A Hierarchical Approach for Banknote Image Processing Using Homogeneity and FFD Model. IEEE Signal Process. Lett. 15: 425-428 (2008) - 2007
- [c3]Chun-Hao Wang, Xiaoming Fan, Ming Du, Bruce Elder, Xiaoou Tang, Ling Guan:
Special Effects in Film Making with Object Based Transformations. ICME 2007: 1519-1522 - 2006
- [c2]Ming Du, Ling Guan:
Monocular Human Motion Tracking with the DE-MC Particle Filter. ICASSP (2) 2006: 205-208 - 2005
- [c1]Ming Du, Ling Guan:
Human recognition by body shape features. Human Vision and Electronic Imaging 2005: 535-545
Coauthor Index
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last updated on 2024-11-28 20:30 CET by the dblp team
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