Ming Zhong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
107
Venues
49
Active years
2000–2026
Best venue rank
A*
Where they publish
- A*EMNLP14 papers
- BDASFAA8 papers
- A*ACL8 papers
- A*ICDE5 papers
- A*AAAI4 papers
- A*SIGIR4 papers
- CAPWEB3 papers
- A*ICLR3 papers
- CADMA3 papers
- BICPR3 papers
- CUIC3 papers
- ASANER2 papers
- CAPSEC2 papers
- BICONIP2 papers
- A*KDD2 papers
- A*WWW2 papers
- A*ASPLOS2 papers
- BCOLING2 papers
- CDEXA2 papers
- NationalHCI2 papers
- NationalGRC2 papers
- A*PODC2 papers
- AICS1 paper
- ACGO1 paper
- CICA3PP1 paper
- BICPADS1 paper
- BIJCNN1 paper
- NationalMVA1 paper
- AEACL1 paper
- A*ICCV1 paper
- A*IJCAI1 paper
- AISSRE1 paper
- CAIES1 paper
- A*ICML1 paper
- ANAACL1 paper
- A*CCS1 paper
- AICDAR1 paper
- A*ICDM1 paper
- CIIWAS1 paper
- ACIKM1 paper
- CIDEAS1 paper
- AEuroSys1 paper
- AICDCS1 paper
- NationalIRI1 paper
- CSNPD1 paper
- CICMLA1 paper
- AFAST1 paper
- A*INFOCOM1 paper
- CISCC1 paper
Papers
107 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data. | Jiacheng Liu, Mayi Xu, Qiankun Pi, Wenli Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu, Tieyun Qian |
| 2026 | AAAI | Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering. | Yunfeng Ning, Mayi Xu, Jintao Wen, Qiankun Pi, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2026 | DASFAA | Debiasing LLMs in Knowledge-Intensive Tasks via Information-Gain Guided Front-Door Adjustment. | Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2026 | ICS | Towards Fully Automated Compiler Backend Generation with Multi-Agent Systems: How Far Are We? | Ming Zhong, Lei Qiu, Lulin Wang, Hongna Geng, Xin Sun, Fang Lv |
| 2026 | SIGIR | Recursive Short-to-Long Generalization for Multi-hop Reasoning. | Mayi Xu, Ke Sun, Jianhao Chen, Qiankun Pi, Guixin Su, Yunfeng Ning, Yongqi Li, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2026 | SANER | A Multi-Modal Retrieval-Augmented Framework for Compiler Backend Generation with LLMs. | Ming Zhong, Fang Lv, Hongna Geng, Xin Sun, Lulin Wang, Lei Qiu, Huimin Cui, Xiaobing Feng |
| 2025 | ACL | Aligning VLM Assistants with Personalized Situated Cognition. | Yongqi Li, Shen Zhou, Xiaohu Li, Xin Miao, Jintao Wen, Mayi Xu, Jianhao Chen, Birong Pan, Hankun Kang, Yuanyuan Zhu, Ming Zhong, Tieyun Qian |
| 2025 | APSEC | Towards Function-Level Correctness Assessment of System Software with LLMs: A Case Study. | Ming Zhong, Xin Sun |
| 2025 | APWEB | SynTSE: A Syntax-Aware Generative Method for Topic-Stance Extraction. | Jintao Wen, Yongqi Li, Shen Zhou, Ming Zhong, Yuanyuan Zhu, Tieyun Qian |
| 2025 | CGO | VEGA: Automatically Generating Compiler Backends using a Pre-trained Transformer Model. | Ming Zhong, Fang Lv, Lulin Wang, Lei Qiu, Yingying Wang, Ying Liu, Huimin Cui, Xiaobing Feng, Jingling Xue |
| 2025 | EMNLP | Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition. | Chenxin An, Zhihui Xie, Xiaonan Li, Ming Zhong, Shansan Gong, Lei Li, Jun Zhang, Jingjing Xu, Lingpeng Kong |
| 2025 | EMNLP | AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. | An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding |
| 2025 | EMNLP | A Survey on Training-free Alignment of Large Language Models. | Birong Pan, Yongqi Li, Weiyu Zhang, Wenpeng Lu, Mayi Xu, Shen Zhou, Yuanyuan Zhu, Ming Zhong, Tieyun Qian |
| 2025 | ICA3PP | OA-WGAN: A Clustering-Guided GAN for Disk Fault Augmentation. | Yubin Li, Shaohua Dong, Bing Wei, Ming Zhong |
| 2025 | ICDE | Efficient Frequency-Aware k-Core Query on Temporal Graphs. | Zhongfan Du, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu |
| 2025 | ICDE | TDT: Tensor Based Directed Truss Decomposition. | Guojing Li, Yuanyuan Zhu, Junchao Ma, Ming Zhong, Tieyun Qian, Jeffrey Xu Yu |
| 2025 | ICLR | Law of the Weakest Link: Cross Capabilities of Large Language Models. | Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten |
| 2025 | ICLR | Why Does the Effective Context Length of LLMs Fall Short? | Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong |
| 2025 | ICONIP | ReLOpt: A Retriever-Augmented Framework for Optimizing Code with Long-Range Dependencies. | Lei Qiu, Fang Lyu, Ming Zhong, Lulin Wang, Xiaobing Feng |
| 2025 | ICPADS | DTAFormer: A Disk Failure Prediction Model Fusing Temporal Change Perception with Dual-Dimension Attention. | Ming Zhong, Jie Sun, Bing Wei, Yuheng Li, Yubin Li, Ting Wang |
| 2025 | IJCNN | NPBD: Neighbor Pattern-Based Backdoor Detection for Node Classifiers. | Mengfan Li, Ming Zhong |
| 2025 | KDD | Retrieval And Structuring Augmented Generation with Large Language Models. | Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han |
| 2025 | MVA | Noise-based Regularized Training for Diffusion Models. | Yuzhang Shang, Yubin Lu, Jinchao Feng, Ming Zhong, Yan Yan |
| 2025 | WWW | Retrieval and Structuring Augmented Generation with LLMs for Web Applications. | Yizhu Jiao, Siru Ouyang, Ming Zhong, Yunyi Zhang, Linyi Ding, Sizhe Zhou, Jiawei Han |
| 2025 | SIGIR | Multimodal Search in Chemical Documents and Reactions. | Ayush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Amador, Patrick Philippy, Ming Zhong, Siru Ouyang, David Mark Friday, David Bianchi, Nick Jackson, Richard Zanibbi, Jiawei Han |
| 2025 | SANER | Boosting Large Language Models for System Software Retargeting: A Preliminary Study. | Ming Zhong, Fang Lv, Lulin Wang, Lei Qiu, Hongna Geng, Huimin Cui, Xiaobing Feng |
| 2024 | ACL | L-Eval: Instituting Standardized Evaluation for Long Context Language Models. | Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu |
| 2024 | ACL | ActionIE: Action Extraction from Scientific Literature with Programming Languages. | Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han |
| 2024 | EMNLP | Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. | Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen |
| 2024 | ICDE | Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. | Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu |
| 2024 | ICLR | Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. | Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He |
| 2024 | KDD | Automated Mining of Structured Knowledge from Text in the Era of Large Language Models. | Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han |
| 2023 | ACL | Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. | Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Xianchao Zhu, Yue Zhang |
| 2023 | ACL | ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. | Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han |
| 2023 | EACL | PREME: Preference-based Meeting Exploration through an Interactive Questionnaire. | Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva, Yang Liu, Ahmed Hassan Awadallah, Ming Zhong, Milad Shokouhi |
| 2023 | EMNLP | Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data. | Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin D. Burke, Huimin Zhao, Jiawei Han |
| 2023 | EMNLP | Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. | Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han |
| 2023 | EMNLP | The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. | Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han |
| 2023 | EMNLP | Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. | Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang |
| 2023 | ICCV | Towards Saner Deep Image Registration. | Bin Duan, Ming Zhong, Yan Yan |
| 2023 | IJCAI | Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. | Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian |
| 2023 | ISSRE | OPTango: Multi-central Representation Learning against Innumerable Compiler Optimization for Binary Diffing. | Hongna Geng, Ming Zhong, Peihua Zhang, Fang Lv, Xiaobing Feng |
| 2023 | WWW | Unsupervised Event Chain Mining from Multiple Documents. | Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han |
| 2022 | AAAI | DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. | Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng |
| 2022 | ASPLOS | EXAMINER: automatically locating inconsistent instructions between real devices and CPU emulators for ARM. | Muhui Jiang, Tianyi Xu, Yajin Zhou, Yufeng Hu, Ming Zhong, Lei Wu, Xiapu Luo, Kui Ren |
| 2022 | COLING | CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization. | Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu |
| 2022 | COLING | Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning. | Zhichao Geng, Ming Zhong, Zhangyue Yin, Xipeng Qiu, Xuanjing Huang |
| 2022 | EMNLP | Open-Vocabulary Argument Role Prediction For Event Extraction. | Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han |
| 2022 | EMNLP | CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision. | Yuning Mao, Ming Zhong, Jiawei Han |
| 2022 | EMNLP | UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. | Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu |
| 2022 | EMNLP | Towards a Unified Multi-Dimensional Evaluator for Text Generation. | Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han |
| 2022 | EMNLP | Unsupervised Multi-Granularity Summarization. | Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han |
| 2022 | ICDE | On Time-optimal (k, p)-core Community Search in Dynamic Graphs. | Zhao Lu, Yuanyuan Zhu, Ming Zhong, Jeffrey Xu Yu |
| 2021 | AAAI | Enhancing Scientific Papers Summarization with Citation Graph. | Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2021 | ACL | GEM: A General Evaluation Benchmark for Multimodal Tasks. | Lin Su, Nan Duan, Edward Cui, Lei Ji, Chenfei Wu, Huaishao Luo, Yongfei Liu, Ming Zhong, Taroon Bharti, Arun Sacheti |
| 2021 | AIES | Becoming Good at AI for Good. | Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres |
| 2021 | APWEB | FANE: A Fusion-Based Attributed Network Embedding Framework. | Guanghua Li, Qiyan Li, Jingqiao Liu, Yuanyuan Zhu, Ming Zhong |
| 2021 | ICML | Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. | Mauro Maggioni, Jason Miller, Hongda Qiu, Ming Zhong |
| 2021 | NAACL | QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. | Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev |
| 2020 | ACL | Extractive Summarization as Text Matching. | Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2020 | CCS | Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware. | Xiaohan Zhang, Yuan Zhang, Ming Zhong, Daizong Ding, Yinzhi Cao, Yukun Zhang, Mi Zhang, Min Yang |
| 2020 | DASFAA | Business Location Selection Based on Geo-Social Networks. | Qian Zeng, Ming Zhong, Yuanyuan Zhu, Jianxin Li |
| 2020 | DASFAA | STIM: Scalable Time-Sensitive Influence Maximization in Large Social Networks. | Yuanyuan Zhu, Kailin Ding, Ming Zhong, Lijia Wei |
| 2020 | EMNLP | An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. | Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2019 | ACL | Searching for Effective Neural Extractive Summarization: What Works and What's Next. | Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2019 | DASFAA | Towards both Local and Global Query Result Diversification. | Ming Zhong, Huanyu Cheng, Ying Wang, Yuanyuan Zhu, Tieyun Qian, Jianxin Li |
| 2019 | DEXA | Keyword Search Based Mashup Construction with Guaranteed Diversity. | Huanyu Cheng, Ming Zhong, Jian Wang, Tieyun Qian |
| 2019 | ICDE | Semantic Similarity Computation in Knowledge Graphs: Comparisons and Improvements. | Chaoqun Yang, Yuanyuan Zhu, Ming Zhong, Rongrong Li |
| 2018 | ADMA | Slice_OP: Selecting Initial Cluster Centers Using Observation Points. | Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu, Mohammad Sultan Mahmud |
| 2018 | DASFAA | Coverage-Oriented Diversification of Keyword Search Results on Graphs. | Ming Zhong, Ying Wang, Yuanyuan Zhu |
| 2018 | DASFAA | Sample Location Selection for Efficient Distance-Aware Influence Maximization in Geo-Social Networks. | Ming Zhong, Qian Zeng, Yuanyuan Zhu, Jianxin Li, Tieyun Qian |
| 2018 | DASFAA | BASSI: Balance and Status Combined Signed Network Embedding. | Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li |
| 2017 | APWEB | Diversified Top-k Keyword Query Interpretation on Knowledge Graphs. | Ying Wang, Ming Zhong, Yuanyuan Zhu, Xuhui Li, Tieyun Qian |
| 2017 | DEXA | Exploit Label Embeddings for Enhancing Network Classification. | Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li |
| 2016 | ADMA | DAPPFC: Density-Based Affinity Propagation for Parameter Free Clustering. | Hanning Yuan, Shuliang Wang, Yang Yu, Ming Zhong |
| 2016 | ICONIP | Inferring Users' Gender from Interests: A Tag Embedding Approach. | Peisong Zhu, Tieyun Qian, Ming Zhong, Xuhui Li |
| 2014 | HCI | Visual Search on E-commerce Category Navigation: A Multi-language Study. | Bin Liu, Lijuan Cao, Yumei Tang, Ming Zhong |
| 2014 | SIGIR | Co-training on authorship attribution with very fewlabeled examples: methods vs. views. | Tieyun Qian, Bing Liu, Ming Zhong, Guoliang He |
| 2013 | ADMA | Detecting Professional Spam Reviewers. | Junlong Huang, Tieyun Qian, Guoliang He, Ming Zhong, Qingxi Peng |
| 2013 | DASFAA | MVP Index: Towards Efficient Known-Item Search on Large Graphs. | Ming Zhong, Mengchi Liu, Zhifeng Bao, Xuhui Li, Tieyun Qian |
| 2013 | ICDAR | Chinese Handwritten Writer Identification based on Structure Features and Extreme Learning Machine. | Jun Tan, Jian-Huang Lai, Wei-Shi Zheng, Ming Zhong |
| 2013 | ICDM | Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance. | Xiaogang Han, Wenjun Zhou, Xing Jiang, Hengjie Song, Ming Zhong, Toyoaki Nishida |
| 2012 | GRC | DDoS defense system with turing test and neural network. | Jiehao Chen, Ming Zhong, Feng-Jiao Chen, An-Di Zhang |
| 2012 | ICPR | Bag-of-feature-graphs: A new paradigm for non-rigid shape retrieval. | Tingbo Hou, Xiaohua Hou, Ming Zhong, Hong Qin |
| 2012 | ICPR | Diffusion-driven high-order matching of partial deformable shapes. | Tingbo Hou, Ming Zhong, Hong Qin |
| 2012 | IIWAS | Revising word lattice using support vector machine for Chinese word segmentation. | Ming Zhong, Sheng Wang, Ming Wu |
| 2012 | ICPR | A hierarchical approach to high-quality partial shape registration. | Ming Zhong, Tingbo Hou, Hong Qin |
| 2009 | CIKM | 3se: a semi-structured search engine for heterogeneous data in graph model. | Ming Zhong, Mengchi Liu |
| 2009 | IDEAS | Efficient keyword proximity search using a frontier-reduce strategy based on | Ming Zhong, Mengchi Liu |
| 2009 | UIC | A Probabilistic Semantic Based Mixture Collaborative Filtering. | Linkai Weng, Yaoxue Zhang, Yuezhi Zhou, Laurence Tianruo Yang, Pengwei Tian, Ming Zhong |
| 2008 | ASPLOS | Hardware counter driven on-the-fly request signatures. | Kai Shen, Ming Zhong, Sandhya Dwarkadas, Chuanpeng Li, Christopher Stewart, Xiao Zhang |
| 2008 | EuroSys | Replication degree customization for high availability. | Ming Zhong, Kai Shen, Joel I. Seiferas |
| 2008 | ICDCS | Correlation-Aware Object Placement for Multi-Object Operations. | Ming Zhong, Kai Shen, Joel I. Seiferas |
| 2008 | IRI | Modeling heterogeneous data in dataspace. | Ming Zhong, Mengchi Liu, Qian Chen |
| 2008 | PODC | Optimizing data popularity conscious bloom filters. | Ming Zhong, Pin Lu, Kai Shen, Joel I. Seiferas |
| 2007 | APSEC | UCSI Towards a User-Centric Service Integration Approach. | Pengwei Tian, Yaoxue Zhang, Yuezhi Zhou, Ming Zhong, Cunhao Fang |
| 2007 | HCI | A Pattern Decomposition and Interaction Design Approach. | Cunhao Fang, Pengwei Tian, Ming Zhong |
| 2007 | PODC | Object replication degree customization for high availability. | Ming Zhong, Kai Shen, Joel I. Seiferas |
| 2007 | UIC | BASCA: A Business Area-Oriented Service Component Adaptation Approach Suitable for Ubiquitous Environment. | Pengwei Tian, Yaoxue Zhang, Ming Zhong, Yuezhi Zhou, Cunhao Fang |
| 2007 | UIC | A Key-Index Based Distributed Mechanism for Component Registration. | Ming Zhong, Yaoxue Zhang, Pengwei Tian, Yue-Zhi Zhou, Cunhao Fang |
| 2007 | SNPD | A Unified-Index Based Distributed Specification for Heterogeneous Components Management. | Ming Zhong, Yaoxue Zhang, Pengwei Tian, Cunhao Fang, Yuezhi Zhou |
| 2006 | GRC | An effective extension to okapi for biomedical text mining. | Ming Zhong, Xiangji Huang |
| 2006 | ICMLA | A Printing Workflow Recommendation Tool--Exploiting Correlations between Highly Sparse Case Logs. | Ming Zhong, Tong Sun |
| 2006 | SIGIR | Concept-based biomedical text retrieval. | Ming Zhong, Xiangji Huang |
| 2005 | FAST | I/O System Performance Debugging Using Model-driven Anomaly Characterization. | Kai Shen, Ming Zhong, Chuanpeng Li |
| 2005 | INFOCOM | Non-uniform random membership management in peer-to-peer networks. | Ming Zhong, Kai Shen, Joel I. Seiferas |
| 2000 | ISCC | Single-Term Divisible Electronic Cash Based on Bit Commitment. | Ming Zhong, Yunbo Feng, Yixian Yang |