| 2026 | ACL | Memory-Guided Hard Data Augmentation for Multimodal Named Entity Recognition. | Xinyu Liu, Kai fu, Yinghan Shi, Quanyou Chu, Ming Du, Hongya Wang, Xiaojun Meng, Jiansheng Wei, Yanghua Xiao, Bo Xu |
| 2025 | COLING | Enhancing Multimodal Named Entity Recognition through Adaptive Mixup Image Augmentation. | Bo Xu, Haiqi Jiang, Jie Wei, Hongyu Jing, Ming Du, Hui Song, Hongya Wang, Yanghua Xiao |
| 2025 | COLING | Boosting Text-to-SQL through Multi-grained Error Identification. | Bo Xu, Shufei Li, Hongyu Jing, Ming Du, Hui Song, Hongya Wang, Yanghua Xiao |
| 2025 | ICCBR | Fast Locality Sensitive Hashing with Theoretical Guarantee. | Zongyuan Tan, Hongya Wang, Bo Xu, Minjie Luo, Ming Du |
| 2025 | INFOCOM | HyperRole: Hyperbolic Graph Transformer for Role Discovery in Online Social Networks. | Huijun Tang, Ming Du, Pengfei Jiao, Huaming Wu, Zhidong Zhao |
| 2025 | MMM | A Multi-expert Collaborative Framework for Multimodal Named Entity Recognition. | Bo Xu, Haiqi Jiang, Shouang Wei, Ming Du, Hui Song, Hongya Wang |
| 2024 | COLING | Adaptive Reinforcement Tuning Language Models as Hard Data Generators for Sentence Representation. | Bo Xu, Yifei Wu, Shouang Wei, Ming Du, Hongya Wang |
| 2024 | CVPR | De-noised Vision-language Fusion Guided by Visual Cues for E-commerce Product Search. | Zhizhang Hu, Shasha Li, Ming Du, Arnab Dhua, Douglas Gray |
| 2024 | IJCNN | Chain-of-Program Prompting with Open-Source Large Language Models for Text-to-SQL. | Bo Xu, Shufei Li, Yifei Wu, Shouang Wei, Ming Du, Hongya Wang, Hui Song |
| 2024 | IJCNN | A Decomposition Framework for Class Incremental Text Classification with Dual Prompt Tuning. | Bo Xu, Yifei Wu, Shufei Li, Hui Song, Ming Du, Hongya Wang |
| 2024 | INFOCOM | Link Topology-Adaptive Offloading Method On Vehicular Edge Computing. | Huijun Tang, Ming Du, Huaming Wu, Pengfei Jiao |
| 2023 | DASFAA | A Unified Visual Prompt Tuning Framework with Mixture-of-Experts for Multimodal Information Extraction. | Bo Xu, Shizhou Huang, Ming Du, Hongya Wang, Hui Song, Yanghua Xiao, Xin Lin |
| 2023 | DASFAA | Semi-supervised Learning for Fine-Grained Entity Typing with Mixed Label Smoothing and Pseudo Labeling. | Bo Xu, Zhengqi Zhang, Ming Du, Hongya Wang, Hui Song, Yanghua Xiao |
| 2023 | HPCC | Improving Global Precipitation in Numerical Weather Prediction Systems based on Deep Learning Techniques. | Haixiang Zhao, Guojing Zhang, Ming Du, Xiaoying Wang |
| 2023 | IJCNN | Knowledge Graph Enhanced Sentential Relation Extraction via Dual Heterogeneous Graph Context Selection. | Bo Xu, Nian Liu, Luyi Cheng, Shizhou Huang, Shouang Wei, Ming Du, Hui Song, Hongya Wang |
| 2023 | IJCNN | HSimCSE: Improving Contrastive Learning of Unsupervised Sentence Representation with Adversarial Hard Positives and Dual Hard Negatives. | Bo Xu, Shouang Wei, Luyi Cheng, Shizhou Huang, Hui Song, Ming Du, Hongya Wang |
| 2022 | APWEB | DASH: Data Aware Locality Sensitive Hashing. | Zongyuan Tan, Hongya Wang, Ming Du, Jie Zhang |
| 2022 | COLING | Different Data, Different Modalities! Reinforced Data Splitting for Effective Multimodal Information Extraction from Social Media Posts. | Bo Xu, Shizhou Huang, Ming Du, Hongya Wang, Hui Song, Chaofeng Sha, Yanghua Xiao |
| 2022 | DASFAA | A Three-Stage Curriculum Learning Framework with Hierarchical Label Smoothing for Fine-Grained Entity Typing. | Bo Xu, Zhengqi Zhang, Chaofeng Sha, Ming Du, Hui Song, Hongya Wang |
| 2022 | ICDE | Fast Reachability Queries Answering based on RCN Reduction (Extended abstract). | Junfeng Zhou, Jeffrey Xu Yu, Yaxian Qiu, Xian Tang, Ziyang Chen, Ming Du |
| 2022 | IJCNN | TS-DST: A Two-Stage Framework for Schema-Guided Dialogue State Tracking with Selected Dialogue History. | Ming Du, Luyi Cheng, Bo Xu, Zhijun Wang, Sufen Wang, Junyi Yuan, Changqing Pan |
| 2022 | IJCNN | Knowledge Base Entity Typing From Text via Entity-Aware Heterogeneous Graph Attention Network. | Bo Xu, Zhong Sun, Ming Du, Hui Song, Hongya Wang |
| 2022 | KDD | Amazon Shop the Look: A Visual Search System for Fashion and Home. | Ming Du, Arnau Ramisa, Amit Kumar K. C, Sampath Chanda, Mengjiao Wang, Neelakandan Rajesh, Shasha Li, Yingchuan Hu, Tao Zhou, Nagashri Lakshminarayana, Son Tran, Douglas Gray |
| 2021 | PG | Hierarchical Link and Code: Efficient Similarity Search for Billion-Scale Image Sets. | Kaixiang Yang, Hongya Wang, Ming Du, Zhizheng Wang, Zongyuan Tan, Yingyuan Xiao |
| 2021 | PRICAI | Improving Sentence-Level Relation Classification via Machine Reading Comprehension and Reinforcement Learning. | Bo Xu, Zhengqi Zhang, Xiangsan Zhao, Hui Song, Ming Du |
| 2019 | KSEM | PRTIRG: A Knowledge Graph for People-Readable Threat Intelligence Recommendation. | Ming Du, Jun Jiang, Zhengwei Jiang, Zhigang Lu, Xiangyu Du |
| 2018 | HPDC | High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation. | Ryan Chard, Rafael Vescovi, Ming Du, Hanyu Li, Kyle Chard, Steven Tuecke, Narayanan Kasthuri, Ian T. Foster |
| 2014 | BMVC | Video-Based Face Recognition Using the Intra-Personal/Extra-Personal Difference Dictionary. | Ming Du, Rama Chellappa |
| 2012 | ECCV | Face Association across Unconstrained Video Frames Using Conditional Random Fields. | Ming Du, Rama Chellappa |
| 2010 | AINA | Integrated Modeling, Generation and Optimization for Packet based NoC Topology. | Jueping Cai, Zheng Liu, Ming Du, Zan Li, Lei Yao |
| 2010 | AINA | Hybrid Communication Reconfigurable Network on Chip for MPSoC. | Zheng Liu, Jueping Cai, Ming Du, Lei Yao, Zan Li |
| 2006 | ICASSP | Monocular Human Motion Tracking with the DE-MC Particle Filter. | Ming Du, Ling Guan |