Efficient residue checker using new binary modular adder tree structure for error detection of arithmetic. - Mingda Zhang; Shugang Wei (FSKD, 2011)

High-Speed Modular Multipliers Based on a New Binary Signed-Digit Adder Tree Structure. - Mingda Zhang; Shugang Wei (J. Circuits Syst. Comput., 2013)

A Linked Data Approach for Geospatial Data Provenance. - Jie Yuan; Peng Yue; Jianya Gong; Mingda Zhang (IEEE Trans. Geosci. Remote. Sens., 2013)

Granularity of geospatial data provenance. - Peng Yue; Mingda Zhang; Xia Guo; Zhenyu Tan (IGARSS, 2014)

Sensor Web event detection and geoprocessing over Big data. - Peng Yue; Chenxiao Zhang; Mingda Zhang; Liangcun Jiang (IGARSS, 2014)

Extending PROV Data Model for Provenance-Aware Sensor Web. - Peng Yue; Xia Guo; Mingda Zhang; Liangcun Jiang (IPAW, 2014)

A geoprocessing workflow system for environmental monitoring and integrated modelling. - Peng Yue; Mingda Zhang; Zhenyu Tan (Environ. Model. Softw., 2015)

Fuzzy spatial relation ontology driven detection of complex geospatial features in a web service environment. - Lianlian He; Peng Yue; Liangcun Jiang; Mingda Zhang (Earth Sci. Informatics, 2015)

Task-oriented Sensor Web data processing for environmental monitoring. - Lei Hu; Peng Yue; Mingda Zhang; Jianya Gong; Liangcun Jiang; Xining Zhang (Earth Sci. Informatics, 2015)

Adding Geospatial Data Provenance into SDI - A Service-Oriented Approach. - Lianlian He; Peng Yue; Liping Di; Mingda Zhang; Lei Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

An SDI Approach for Big Data Analytics: The Case on Sensor Web Event Detection and Geoprocessing Workflow. - Peng Yue; Chenxiao Zhang; Mingda Zhang; Xi Zhai; Liangcun Jiang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

A Sensor Web and Web Service-Based Approach for Active Hydrological Disaster Monitoring. - Xi Zhai; Peng Yue; Mingda Zhang (ISPRS Int. J. Geo Inf., 2016)

A script-based workflow module for composition of geoprocesing functions in GRASS. - Xiaoqian Bu; Peng Yue; Mingda Zhang (Agro-Geoinformatics, 2017)

Geospatial data storage based on HBase and MapReduce. - Fan Gao; Peng Yue; Zhaoyan Wu; Mingda Zhang (Agro-Geoinformatics, 2017)

Ontology for processing service orchestration. - Mingda Zhang; Joshua Lieberman; Peng Yue (Agro-Geoinformatics, 2017)

Automatic Understanding of Image and Video Advertisements. - Zaeem Hussain; Mingda Zhang; Xiaozhong Zhang; Keren Ye; Christopher Thomas 004; Zuha Agha; Nathan Ong; Adriana Kovashka (CVPR, 2017)

An open standards based method for integrated environmental modelling. - Lianlian He; Peng Yue; Mingda Zhang (IGARSS, 2017)

Model provenance tracking and inference for integrated environmental modelling. - Mingda Zhang; Peng Yue; Zhaoyan Wu; Danielle Ziébelin; Huayi Wu; Chenxiao Zhang (Environ. Model. Softw., 2017)

Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. - Mingda Zhang; Rebecca Hwa; Adriana Kovashka (BMVC, 2018)

Learning to discover and localize visual objects with open vocabulary. - Keren Ye; Mingda Zhang; Wei Li 044; Danfeng Qin; Adriana Kovashka; Jesse Berent (CoRR, 2018)

Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. - Keren Ye; Mingda Zhang; Adriana Kovashka; Wei Li 044; Danfeng Qin; Jesse Berent (ICCV, 2019)

An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion. - Zhenyu Tan; Liping Di; Mingda Zhang; Liying Guo; Meiling Gao (Remote. Sens., 2019)

Story Completion with Explicit Modeling of Commonsense Knowledge. - Mingda Zhang; Keren Ye; Rebecca Hwa; Adriana Kovashka (CVPR Workshops, 2020)

Geocube: Towards the Multi-Source Geospatial Data Cube in Big Data Era. - Peng Yue; Boyi Shangguan; Mingda Zhang; Fan Gao; Zhipeng Cao 003; Liangcun Jiang; Zhe Fang (IGARSS, 2020)

Monitoring ICU Mortality Risk with a Long Short-Term Memory Recurrent Neural Network. - Ke Yu; Mingda Zhang; Tianyi Cui; Milos Hauskrecht (PSB, 2020)

An interactive 4D spatio-temporal visualization system for hydrometeorological data in natural disasters. - Xuequan Zhang; Mingda Zhang; Liangcun Jiang; Peng Yue (Int. J. Digit. Earth, 2020)

Interoperable web sharing of environmental models using OGC web processing service and Open Modeling Interface (OpenMI). - Mingda Zhang; Liangcun Jiang; Peng Yue; Jianya Gong (Environ. Model. Softw., 2020)

Coupling OGC WPS and W3C PROV for provenance-aware geoprocessing workflows. - Mingda Zhang; Liangcun Jiang; Jing Zhao 024; Peng Yue; Xuequan Zhang (Comput. Geosci., 2020)

Monitoring Land Surface Temperature Change with Landsat Images during Dry Seasons in Bac Binh, Vietnam. - Thanhtung Dang; Peng Yue; Felix Bachofer; Michael Wang; Mingda Zhang (Remote. Sens., 2020)

A method for solving vehicle routing problems with pickup and delivery with time windows for ride-sharing services. - Zhipeng Cao 003; Liangcun Jiang; Mingda Zhang; Boyi Shangguan; Peng Yue; Zheheng Liang (Agro-Geoinformatics, 2021)

Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering. - Meiqi Guo; Mingda Zhang; Siva Reddy; Malihe Alikhani (AKBC, 2021)

BasisNet: Two-Stage Model Synthesis for Efficient Inference. - Mingda Zhang; Chun-Te Chu; Andrey Zhmoginov; Andrew Howard 002; Brendan Jou; Yukun Zhu; Li Zhang 003; Rebecca Hwa; Adriana Kovashka (CVPR Workshops, 2021)

Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels. - Mingda Zhang; Tristan Maidment; Ahmad Diab; Adriana Kovashka; Rebecca Hwa (CVPR, 2021)

Breaking Shortcuts by Masking for Robust Visual Reasoning. - Keren Ye; Mingda Zhang; Adriana Kovashka (WACV, 2021)

Interpreting the Rhetoric of Visual Advertisements. - Keren Ye; Narges Honarvar Nazari; James Hahn; Zaeem Hussain; Mingda Zhang; Adriana Kovashka (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Towards an Integrated Service Platform in Remote Sensing Satellite Ground Station for Telemetry, Operational Control, and Data Application. - Chang Liu; Boyi Shangguan; Mingda Zhang; Peng Yue (Agro-Geoinformatics, 2022)

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. - Baoyuan Wu; Hongrui Chen; Mingda Zhang; Zihao Zhu 001; Shaokui Wei; Danni Yuan; Chao Shen (NeurIPS, 2022)

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. - Baoyuan Wu; Hongrui Chen; Mingda Zhang; Zihao Zhu 001; Shaokui Wei; Danni Yuan; Chao Shen; Hongyuan Zha (CoRR, 2022)

Facilitating Typhoon-Triggered Flood Disaster-Ready Information Delivery Using SDI Services Approach - A Case Study in Hainan. - Lei Hu; Zhe Fang; Mingda Zhang; Liangcun Jiang; Peng Yue (Remote. Sens., 2022)

A Hybrid Triple Collocation-Deep Learning Approach for Improving Soil Moisture Estimation from Satellite and Model-Based Data. - Wenting Ming; Xuan Ji; Mingda Zhang; Yungang Li; Chang Liu; Yinfei Wang; Jiqiu Li (Remote. Sens., 2022)

MGTIPM: A Multi-granularity Time Intention Prediction Model for Next Point-of-Interest Recommendation. - Junyi Wu; Hao Li; Can Yang; Jian Li; Kai Yan; Mingda Zhang; Ruixiang Liu (Agro-Geoinformatics, 2023)

Train-Once-for-All Personalization. - Hong-You Chen; Yandong Li; Yin Cui; Mingda Zhang; Wei-Lun Chao; Li Zhang 003 (CVPR, 2023)

Video Timeline Modeling For News Story Understanding. - Meng Liu 015; Mingda Zhang; Jialu Liu; Hanjun Dai; Ming-Hsuan Yang 001; Shuiwang Ji; Zheyun Feng; Boqing Gong (NeurIPS, 2023)

Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. - Shaokui Wei; Mingda Zhang; Hongyuan Zha; Baoyuan Wu (NeurIPS, 2023)

How to Practice VQA on a Resource-limited Target Domain. - Mingda Zhang; Rebecca Hwa; Adriana Kovashka (WACV, 2023)

Federated Learning of Shareable Bases for Personalization-Friendly Image Classification. - Hong-You Chen; Jike Zhong; Mingda Zhang; Xuhui Jia; Hang Qi; Boqing Gong; Wei-Lun Chao; Li Zhang 003 (CoRR, 2023)

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy. - Zihao Zhu 001; Mingda Zhang; Shaokui Wei; Li Shen 008; Yanbo Fan; Baoyuan Wu (CoRR, 2023)

VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency. - Zihao Zhu 001; Mingda Zhang; Shaokui Wei; Bingzhe Wu; Baoyuan Wu (CoRR, 2023)

Video Summarization: Towards Entity-Aware Captions. - Hammad A. Ayyubi; Tianqi Liu 002; Arsha Nagrani; Xudong Lin 003; Mingda Zhang; Anurag Arnab; Feng Han; Yukun Zhu; Jialu Liu; Shih-Fu Chang (CoRR, 2023)

Defenses in Adversarial Machine Learning: A Survey. - Baoyuan Wu; Shaokui Wei; Mingli Zhu; Meixi Zheng; Zihao Zhu 001; Mingda Zhang; Hongrui Chen; Danni Yuan; Li Liu 036; Qingshan Liu (CoRR, 2023)

Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services. - Mingyue Xu; Peng Yue; Fan Yu; Can Yang 001; Mingda Zhang; Shangcheng Li; Hao Li (Int. J. Geogr. Inf. Sci., 2023)

A service-oriented collaborative approach to disaster decision support by integrating geospatial resources and task chain. - Zhe Fang; Peng Yue; Mingda Zhang; Jinbiao Xie; Dongjin Wu; Liangcun Jiang (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Learning to Overcome Noise in Weak Caption Supervision for Object Detection. - Mesut Erhan Unal; Keren Ye; Mingda Zhang; Christopher Thomas 004; Adriana Kovashka; Wei Li 044; Danfeng Qin; Jesse Berent (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Enhancing FAIR Data Services in Agricultural Disaster: A Review. - Lei Hu; Chenxiao Zhang; Mingda Zhang; Yuming Shi; Jiasheng Lu; Zhe Fang (Remote. Sens., 2023)

An interoperable and service-oriented approach for real-time environmental simulation by coupling OGC WPS and SensorThings API. - Mingda Zhang; Peng Yue; Lei Hu; Huayi Wu; Fan Zhang (Environ. Model. Softw., 2023)

VIEWS: Entity-Aware News Video Captioning. - Hammad A. Ayyubi; Tianqi Liu 002; Arsha Nagrani; Xudong Lin 003; Mingda Zhang; Anurag Arnab; Feng Han; Yukun Zhu; Xuande Feng; Kevin Zhang; Jialu Liu; Shih-Fu Chang (EMNLP, 2024)

VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. - Zihao Zhu 001; Mingda Zhang; Shaokui Wei; Bingzhe Wu; Baoyuan Wu (ICLR, 2024)

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization. - Mingda Zhang; Mingli Zhu; Zihao Zhu 001; Baoyuan Wu (CoRR, 2024)

Neptune: The Long Orbit to Benchmarking Long Video Understanding. - Arsha Nagrani; Mingda Zhang; Ramin Mehran; Rachel Hornung; Nitesh Bharadwaj Gundavarapu; Nilpa Jha; Austin Myers; Xingyi Zhou; Boqing Gong; Cordelia Schmid; Mikhail Sirotenko; Yukun Zhu; et al. (CoRR, 2024)

Scaling Inference Time Compute for Diffusion Models. - Nanye Ma; Shangyuan Tong; Haolin Jia; Hexiang Hu; Yu-Chuan Su; Mingda Zhang; Xuan Yang; Yandong Li; Tommi S. Jaakkola; Xuhui Jia; Saining Xie (CVPR, 2025)

OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities. - Lichang Chen; Hexiang Hu; Mingda Zhang; Yiwen Chen; Zifeng Wang; Yandong Li; Pranav Shyam; Tianyi Zhou 001; Heng Huang; Ming-Hsuan Yang 001; Boqing Gong (ICLR, 2025)

Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks. - Danni Yuan; Mingda Zhang; Shaokui Wei; Li Liu 036; Baoyuan Wu (ICLR, 2025)

A Cloud-Based Geoprocessing Platform Based on Extended OGC API-Processes Standard and PyQGIS. - Mingda Zhang; Zhihong Guo; Panpan Li; Lei Hu; Yun Qiao; Hong Wang; Xin Mei; Hanhui Yan; Zeqiang Chen (Trans. GIS, 2025)

Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps. - Nanye Ma; Shangyuan Tong; Haolin Jia; Hexiang Hu; Yu-Chuan Su; Mingda Zhang; Xuan Yang; Yandong Li; Tommi S. Jaakkola; Xuhui Jia; Saining Xie (CoRR, 2025)

BoT: Breaking Long Thought Processes of o1-like Large Language Models through Backdoor Attack. - Zihao Zhu 001; Hongbao Zhang; Mingda Zhang; Ruotong Wang 008; Guanzong Wu; Ke Xu; Baoyuan Wu (CoRR, 2025)

A Method for the Architecture of a Medical Vertical Large Language Model Based on Deepseek R1. - Mingda Zhang; Jianglong Qin (CoRR, 2025)

An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis. - Mingda Zhang; Na Zhao; Jianglong Qing; Qing xu; Kaiwen Pan; Ting luo (CoRR, 2025)

A Multi-granularity Concept Sparse Activation and Hierarchical Knowledge Graph Fusion Framework for Rare Disease Diagnosis. - Mingda Zhang; Na Zhao; Jianglong Qin; Guoyu Ye; Ruixiang Tang (CoRR, 2025)

A Multi-Modal Fusion Framework for Brain Tumor Segmentation Based on 3D Spatial-Language-Vision Integration and Bidirectional Interactive Attention Mechanism. - Mingda Zhang; Kaiwen Pan (CoRR, 2025)

The Consistency-Acceptability Divergence of LLMs in Judicial Decision-Making: Task and Stakeholder Dimensions. - Mingda Zhang; Xu Qing (CoRR, 2025)

A Brain Tumor Segmentation Method Based on CLIP and 3D U-Net with Cross-Modal Semantic Guidance and Multi-Level Feature Fusion. - Mingda Zhang (CoRR, 2025)

DCFFSNet: Deep Connectivity Feature Fusion Separation Network for Medical Image Segmentation. - Xun Ye; Ruixiang Tang; Mingda Zhang; Jianglong Qin (CoRR, 2025)

A Semantic Segmentation Algorithm for Pleural Effusion Based on DBIF-AUNet. - Ruixiang Tang; Jianglong Qin; Mingda Zhang; Yan Song; Yi Wu; Wei Wu (CoRR, 2025)

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. - Baoyuan Wu; Hongrui Chen; Mingda Zhang; Zihao Zhu 001; Shaokui Wei; Danni Yuan; Mingli Zhu; Ruotong Wang 008; Li Liu 036; Chao Shen (Int. J. Comput. Vis., 2025)