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He has published over 200 articles in high-impact journals or conferences such as TKDE, TOIS, VLDBJ, IPM, IoT, WWWJ, HISC, SIGMOD, VLDB, ICDE, AAAI, SIGIR, WWW, ACL, IJCAI, CIKM and EMNLP. He holds 27 patents of invention and 25 software copyrights.

• First Prize, Invention and Entrepreneurship Award – Innovation Award, China Association of Inventions (2023)
• Industry-University-Research Cooperation Innovation Award (Individual), China Industry-University-Research Cooperation Promotion Association (2021)
• Second Prize of the Industry-University-Research Cooperation Innovation Award, China Industry-University-Research Cooperation Promotion Association (2020)

• Associate editor of "Health Information Science and Systems" and "Journal of Social Computing"
• Co-PC Chair: WISA 2024, HIS2022, ICSH 2016, ICSH 2014
• Co-Publicity Chair: HIS 2021
• Co-Publication Chair: WISA 2021, WISA 2017
• Expert Reviewer for the Degree & Graduate Education Development Center of the Ministry of Education of the People's Republic of China
• Expert Reviewer for the Catalog of Core Chinese Journals compiled by Peking University Library
• Organizer, Session on Integration and Innovative Applications of Public Data Resources, 9th (2024) Scientific Data Conference & Forum on the Development of Scientific Data Centers
• Peer Reviewer for many journals and conferences, such as TKDD, IJIM, ACM TMIS, KBS, IPM, WWWJ, ESWA, CMPB, BDR, CMBJ, IMU, CI, FCS, ACI, HISC, KDD, AAAI, ACL, EMLP, ICDE, DASFAA, DSAA, WAIM/ApWeb, ICSH, COMPSAC, ADMA, HealthCom and SEKE

• AI and Database Systems: AI and database systems are two powerful tools to help people to simplify their life by being used in the information systems. Our work includes two parts:

  AI4DB: The machine learning, deep learning and LLM are used in database systems to improve their performance.

  DB4AI: Prepare the data in the database to be a reasonable dataset, thus enhance the effectiveness of the AI algorithms.

• Data Lifecycle Management (DLM): It  is a approach for managing the flow of data within information systems throughout its entire lifecycle. Specifically, it involves the long-term preservation and accessibility of digital resources to ultimately support reuse activities such as research, business and policy-making. The data lifecycle includes, but is not limited to, stages such as planning, collection, transmission, storage, processing, utilization, analysis, and decommissioning. The construction of the data lifecycle requires flexible selection and reasonable application based on different task objects. We build a DLM platform to manage the datasets from the research or business.
• Data Fusion and Exploration: The massive data that need to be processed in business typically come from multiple data sources. Data from these different sources often exhibits significant differences in format, structure, semantics, and quality. To bridge or eliminate these differences, it is necessary to establish or adhere to relevant standards, and perform operations such as data cleaning, transformation, enhancement, and fusion, ultimately forming a unified, traceable, and high-quality dataset. Based on knowledge graphs, we have developed a comprehensive set of data fusion methods that can integrate massive, multi-source, and heterogeneous data, thereby supporting business operations and decision-making. In the process of utilizing this data, we have developed interactive data exploration methods that can detect user intent and recommend relevant datasets.
• Health/Medicine Data Management: Health data management is a critical issue in the medical field today, encompassing various aspects such as data collection, storage, processing, sharing, and security. High-quality health data of a certain scale is essential for Real World Study. We have collaborated with Anzhen Hospital to establish a data center for the Cardiovascular Big Data Alliance, worked with 301 Hospital to develop a pre-hospital emergency system that connects pre-hospital care with the operating room, partnered with Tsinghua Changgung Hospital to assist in the diagnosis of sepsis and knee osteoarthritis, collaborated with Peking University People's Hospital to optimize medical procedures using multimodal data, jointly developed a medical-oriented large model with the Peking University Medical Big Data Center, and co-created a platform for doctors' diagnosis, treatment, and research based on large models with YiduCloud.
• Knowledge Graph-Enhanced Data Lakes:  Data lakes offer significant advantages in terms of storage diversity, scalability, and flexibility. However, they also present challenges in management and governance, data quality control, and the complexity of data analysis. To address these issues, we have enhanced the data lake by leveraging knowledge graph technology, building a big data management and service platform. Using this platform, we standardize entities and relationships within the data lake and employ underlying parallel processing technologies to conduct efficient data analysis.

## 2025

1. Yang Wu, Xuanhe Zhou, Xiaoguang Li, Jinhuai Kang , Chunxiao Xing, Tongliang Li, Xinjun Yang, Wenchao Zhou, Feifei Li, Yong Zhang: MemQ: A Graph-Based Query Memory Prediction Framework for Effective Workload Scheduling. ICDE 2025, accepted
2. Xuguang Zhu, Yong Zhang , Chao Li, Chunxiao Xing: Enhancing Chain-of-Thought Reasoning for Text-to-SQL with Effective Retrieval-Augmented Generation. DASFAA 2025, accepted

1. Yang Wu, Xuanhe Zhou, Yong Zhang, Guoliang Li: Automatic Index Tuning: A Survey. IEEE Trans. Knowl. Data Eng. 36(12): 7657-7676 (2024)

2. Hao, Chenxiao, Rui Hao, Huiying Zhao, Yong Zhang, Ming Sheng, and Youzhong An: Identification and Validation of Sepsis Subphenotypes Using Time-Series Data. Heliyon 10, no. 7 (April 2024): e28520.  

3. Ming Sheng, Shuliang Wang, Yong Zhang, Rui Hao, Ye Liang, Yi Luo, Wenhan Yang, Jincheng Wang, Yinan Li, Wenkui Zheng & Wenyao Li: A multi-source heterogeneous medical data enhancement framework based on lakehouse. Health Inf Sci Syst 12, 37 (2024). PDF

4. Xinhang Li, Xiangyu Zhao, Zihao Wang, Yang Duan, Yong Zhang, Chunxiao Xing: Optimal Transport Enhanced Cross-City Site Recommendation. SIGIR 2024: 1441-1451

5. Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing: OpenSiteRec: An Open Dataset for Site Recommendation. SIGIR 2024: 1483-1493

6. Chenyang Xu, Xin Li, Xinyue Zhang, Ruilin Wu, Yuxi Zhou, Qinghao Zhao, Yong Zhang, Shijia Geng, Yue Gu, Shenda Hong: Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning. Health Inf. Sci. Syst. 12(1): 2 (2024) PDF

## 2023

1. Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu: REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning. CIKM 2023: 1278-1287

2. Xinhang Li, Xiangyu Zhao, Yong Zhang, Chunxiao Xing: Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning. CIKM 2023: 1238-1248

3. Chaochen Hu, Zihan Sun, Chao Li, Yong Zhang, Chunxiao Xing:  Survey of Time Series Data Generation in IoT. Sensors 2023, 23(15), 6976

4. Yu Chen, Yong Zhang, Jin Wang, Jiacheng Wu, Chunxiao Xing: Efficient EMD-Based Similarity Search via Batch Pruning and Incremental Computation. IEEE Trans. Knowl. Data Eng. 35(2): 1446-1459 (2023)

5. Kaixin Liu, Sibo Wang, Yong Zhang, Chunxiao Xing: An Efficient Algorithm for Distance-based Structural Graph Clustering. SIGMOD 2023. Proc. ACM Manag. Data 1(1): 45:1-45:25 (2023)

6. Xinhang Li, Zhaopeng Qiu, Jiacheng Jiang, Yong Zhang, Chunxiao Xing, Xian Wu: Conditional Cross-Platform User Engagement Prediction. TOIS, Volume 42, Issue 1, Article No.: 6, pp 1–28.

7. Xiangke Mao, Chao Li, Yong Zhang, Guigang Zhang, Jiafu Li, Mira Shah, Chunxiao Xing: HuaBaseChain: An Extensible Blockchain with High Performance. IEEE Internet Things J. 10(14): 12462-12485 (2023)

8. Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing: IMF: Interactive Multimodal Fusion Model for Link Prediction. WWW 2023: 2572-2580

9. Rui Hao, Ming Sheng, Yong Zhang, Huiying Zhao, Chenxiao Hao, Wenyao Li, Luoxi Wang, Chao Li: Enhancing Clustering Performance in Sepsis Time Series Data Using Gravity Field. HIS 2023: 199-212

10. Zhentao Hu, Kaige Wang, Weifan Wang, Wenkui Zheng, Yong Zhang, Xin Li, Gao Fei, Wenyao Li, Luoxi Wang: Multi-dimensional Complex Query Optimization for Disease-Specific Data Exploration Based on Data Lake. HIS 2023: 321-330

11. Tao Zhao, Nan Hai, Wenyao Li, Wenkui Zheng, Yong Zhang, Xin Li, Gao Fei: Multi-modal Medical Data Exploration Based on Data Lake. HIS 2023: 213-222

## 2022

1. Yong Zhang, Ming Sheng, Xingyue Liu, Ruoyu Wang, Weihang Lin, Peng Ren, Xia Wang, Enlai Zhao, Wenchao Song: A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration. Health Inf. Sci. Syst. 10(1): 22 (2022)

2. Qiao Chang, Zihao Wang, Fan Wang, Jiaheng Dou, Yong Zhang, Yuxing Bai: Automatic analysis of lateral cephalograms based on high-resolution net, American Journal of Orthodontics and Dentofacial Orthopedics, 2022

3. Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing and Xian Wu. Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation. CIKM 2022: 1199-1208

4. Chi Chen, Hui Chen, Kangzhi Zhao, Junsheng Zhou, Li He, Hongbo Deng, Jian Xu, Bo Zheng, Yong Zhang, Chunxiao Xing. EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. KDD 2022: 2732-2740

5. Bing Tian, Yixin Cao, Yong Zhang, Chunxiao Xing: Debiasing NLU models via Causal Intervention and Counterfactual Reasoning. AAAI 2022: 11376-11384. PPT

6. Chaochen Hu, Chao Li\*, Guigang Zhang, Zhiwei Lei, Mira Shah, Yong Zhang, Chunxiao Xing, Jinpeng Jiang, Renyi Bao: CrowdMed-II: a blockchain-based framework for efficient consent management in health data sharing. World Wide Web 25(3): 1489-1515 (2022)

7. Yu Chen, Yong Zhang, Jin Wang, Jiacheng Wu, Chunxiao Xing: Efficient EMD-based Similarity Search via Batch Pruning and Incremental Computation (Extended Abstract). ICDE 2022: 1535-1536

8. Xun Zhong, Yong Zhang, Yu Chen, Chao Li, Chunxiao Xing: Learned Index on GPU. ICDE Workshops 2022: 117-122

## 2021

1. Bing Tian, Yong Zhang, Chunxiao Xing: Improving Document-level Sentiment Classification with User-Product Gated Network. APWeb/WAIM (1) 2021: 397-412.

2. Yong Zhang, Yu Chen, Junye Yang, Jin Wang, Huiqi Hu, Chunxiao Xing, Xiaofang Zhou: Clustering Enhanced Error-tolerant Top-k Spatio-textual Search. World Wide Web 24, 1185–1214 (2021).

3. Jiacheng Wu, Yong Zhang, Shimin Chen, Yu Chen, Jin Wang, Chunxiao Xing: Updatable Learned Index with Precise Position. Proc. VLDB Endow. 14(8): 1276-1288 (2021)

4. Kaixin Liu, Sibo Wang\*, Yong Zhang, Chunxiao Xing: Efficient Algorithm for the Anchored k-Core Budget Minimization Problem, ICDE 2021: 1356-1367

5. Xiaofan Li, Rui Zhou, Lu Chen, Yong Zhang, Chengfei Liu, Qiang He, Yun Yang: Finding a Summary for All Maximal Cliques, ICDE 2021: 1344-1355

6. Yu Chen, Yong Zhang, Jiacheng Wu, Jin Wang, Chunxiao Xing: Revisiting Data Prefetching for Database Systems with Machine Learning Techniques, ICDE 2021: 2165-2170

7. Jiaheng Dou, Bing Tian, Yong Zhang, Chunxiao Xing, A Novel Embedding Model for Knowledge Graph Completion Based on Multi-Task Learning, DASFAA (1) 2021: 240-255

## 2020

1. Mehdi Naseriparsa, Ahmed Al-Shammari, Ming Sheng, Yong Zhang, Rui Zhou: RSMOTE: improving classification performance over imbalanced medical datasets. Health Inf. Sci. Syst. 8(1): 22 (2020)

2. Xu Zhao, Zihao Wang, Hao Wu, Yong Zhang: Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction, EMNLP (1) 2020: 2973-2984

3. Zihao Wang, Datong Zhou, Ming Yang, Yong Zhang, Chenglong Bao, Hao Wu: Robust Document Distance with Wasserstein-Fisher-Rao Metric, ACML 2020: 721-736

4. Mira Shah, Chao Li, Ming Sheng, Yong Zhang, Chunxiao Xing: Smarter Smart Contracts: Efficient Consent Management in Health Data Sharing, ApWeb-WAIM, 2020: 141-155, Best Student Paper Runner-Up

5. Yong Zhang, Ming Sheng, Rui Zhou, Ye Wang, Guangjie Han, Han Zhang, Chunxiao Xing, Jing Dong: HKGB: An Inclusive, Extensible, Intelligent, Semi-auto-constructed Knowledge Graph Framework for Healthcare with Clinicians' Expertise Incorporated. Information Processing & Management, Volume 57, Issue 6, November 2020, 102324

6. Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang,Kai Zheng, Xiaofang Zhou, Chunxiao Xing: Discovering Subsequence Patterns for Next POI Recommendation. International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2020: 3216-3222. PDF

7. Xu Zhao, Zihao Wang, Hao Wu, Yong Zhang: A Relaxed Matching Procedure for Unsupervised BLI. ACL 2020: 3036-3041.

8. Kaixin Liu, Yong Zhang and Chunxiao Xing: Hybrid Attention Based Neural Architecture for Text Semantics Similarity Measurement. DASFAA (2) 2020: 90-106

9. Kaixin Liu, Yong Zhang and Chunxiao Xing: An Efficient Approximate Algorithm for Single-Source Discounted Hitting Time Query. DASFAA (3) 2020: 237-254 Code

10. Xu Zhao, Zihao Wang, Yong Zhang and Chunxiao Xing: Instance Explainable Multi-Instance Learning for ROI of Various Data.  DASFAA (2) 2020: 107-124 Code

11. Jiacheng Wu, Yong Zhang, Yu Chen and Chunxiao Xing: A Progressive Approach for Computing the Earth Mover's Distance. DASFAA (1) 2020: 122-138

12. Yong Zhang, Jiacheng Wu, Jin Wang, Chunxiao Xing: A Transformation-based Framework for KNN Set Similarity Search. IEEE Trans. Knowl. Data Eng. 32(3): 409-423 (2020)

## 2019

1. Bing Tian, Yong Zhang, Jin Wang and Chunxiao Xing: Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning. International Joint Conferences on Artificial Intelligence Organization (IJCAI),  2019: 3569-3575. PPT

2. Zihao Wang, Yong Zhang, Chunxiao Xing: Reducing Wrong Labels for Distant Supervision Relation Extraction with Selective Capsule Network. The Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference (ApWeb-WAIM), 2019: 77-92. PPT

3. Junye Yang, Yong Zhang, Xiaofang Zhou, Jin Wang, Huiqi Hu, Chunxiao Xing: A Hierarchical Framework for Top-k Location-aware Error-tolerant Keyword Search. IEEE International Conference on Data Engineering (ICDE), 2019: 986-997 Code

4. Jiacheng Wu, Yong Zhang, Jin Wang, Chunbin Lin, Yingjia Fu, Chunxiao Xing: A Scalable Framework for Metric Similarity Join using MapReduce. IEEE International Conference on Data Engineering (ICDE), 2019: 1662-1665

5. Junye Yang, Yong Zhang, Hao Wang, Huiqi Hu, Chunxiao Xing: A Hierarchical Index Structure for Region-aware Spatial Keyword Search with Edit Distance Constraint. International Conference on Database Systems for Advanced Applications (DASFAA), 2019: 591-608

6. Jie Xu, Yong Zhang, Chao Li, Chunxiao Xing. STDR: A Deep Learning Method for Travel Time Estimation. International Conference on Database Systems for Advanced Applications (DASFAA), 2019: 156-172

7. Kangzhi Zhao, Yong Zhang, Yan Zhang, Chunxiao Xing, and Chao Li. Learning from User Social Relation for Document Sentiment Classification. International Conference on Database Systems for Advanced Applications (DASFAA), 2019: 86-103

8. Shuo Yu, Hongyi Zhu, Shan Jiang, Yong Zhang, Chunxiao Xing, Hsinchun Chen: Emoticon Analysis for Chinese Social Media and E-commerce: The AZEmo System. ACM Trans. Management Inf. Syst. 9(4): 16:1-16:22 (2019)

9. Kaiyu Li, Yong Zhang, Guoliang Li, Wenbo Tao, Ying Yan: Bounded Approximate Query Processing. IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(12): 2262-2276, 1 Dec. 2019.

10. Mira Shah, Chao Li, Ming Sheng, Yong Zhang, Chunxiao Xing. CrowdMed: A Blockchain-Based Approach to Consent Management for Health Data Sharing. ICSH 2019: 345-356, Best Paper Runner-Up

## 2018

1. Jie Xu, Yong Zhang, Yongzheng Jia, Chunxiao Xing. An Efficient Traffic Prediction Model Using Deep Spatial-Temporal Network. International Conference on Collaborative Computing (CollaborateCom), 2018: 386-399  Best paper award

2. Bing Tian, Yong Zhang, Kaixin Liu and Chunxiao Xing. Deep Learning based Information Extraction Framework on Chinese Electronic Health Records. International Conference on Software Engineering and Knowledge Engineering (SEKE), 2018: 86-91

3. Jie Xu, Yong Zhang, Chunxiao Xing and Guigang Zhang. A Real-Time Ride-Sharing Matching Framework Using Simulated Annealing Genetic Algorithm. International Conference on Software Engineering and Knowledge Engineering (SEKE), 2018: 250-255

4. Kangzhi Zhao, Yong Zhang, Zihao Wang, Hongzhi Yin, Xiaofang Zhou, Jin Wang, Chunxiao Xing: Modeling Patient Visit Using Electronic Medical Records for Cost Profile Estimation. International Conference on Database Systems for Advanced Applications (DASFAA), 2018: 20-36

5. Xinhuan Chen, Yong Zhang, Kangzhi Zhao, Qingcheng Hu, Chunxiao Xing: Domain Supervised Deep Learning Framework for Detecting Chinese Diabetes-Related Topics. International Conference on Database Systems for Advanced Applications (DASFAA), 2018: 53-71

## 2017

1. Minghe Yu, Jin Wang, Guoliang Li, Yong Zhang, Dong Deng, Jianhua Feng: A unified framework for string similarity search with edit-distance constraint. VLDB Journal 26(2): 249-274 (2017)

2. Yong Zhang, Xiuxing Li, Jin Wang, Ying Zhang, Chunxiao Xing, Xiaojie Yuan: An Efficient Framework for Exact Set Similarity Search using Tree Structure Indexes. IEEE International Conference on Data Engineering (ICDE), 2017: 759-770

3. Hongliang Tian, Yong Zhang, Chunxiao Xing, Shoumeng Yan: SGXKernel: A Library Operating System Optimized for Intel SGX. Conf. Computing Frontiers 2017: 35-44

## 2016

1. Xinhuan Chen, Yong Zhang, Jennifer Xu, Chunxiao Xing, Hsinchun Chen: Deep Learning Based Topic Identification and Categorization: Mining Diabetes-Related Topics on Chinese Health Websites. International Conference on Database Systems for Advanced Applications (DASFAA), 2016: 481-500

2. Feben Teklemicael, Yong Zhang, Yongji Wu, Yanshen Yin, Chunxiao Xing: Toward Gamified Personality Acquisition in Travel Recommender Systems. International Conference on Human Centered Computing (HCC), 2016: 375-385

3. Jinwei Zhang, Yong Zhang, Qingcheng Hu, Hongliang Tian, Chunxiao Xing: A Big Data Analysis Platform for Healthcare on Apache Spark. International Conference on Smart Health (ICSH), 2016: 32-43

4. Kangzhi Zhao, Yong Zhang, Chunxiao Xing, Weifeng Li, Hsinchun Chen: Chinese underground market jargon analysis based on unsupervised learning. IEEE Conference on Intelligence and Security Informatics (ISI), 2016: 97-102

## 2015 and before

1. Jin Wang, Guoliang Li, Dong Deng, Yong Zhang, Jianhua Feng: Two birds with one stone: An efficient hierarchical framework for top-k and threshold-based string similarity search. IEEE International Conference on Data Engineering (ICDE), 2015: 519-530  

2. Xinhuan Chen, Yong Zhang, Pengfei Ma, Chao Li, Chunxiao Xing: A Package Generation and Recommendation Framework Based on Travelogues. Annual International Computer Software and Applications Conference (COMPSAC), 2015: 692-701

3. Qingcheng Hu, Yong Zhang, Xinhui Xu, Chao Li, Chunxiao Xing: RMDN: New Approach to Maximize Influence Spread. Annual International Computer Software and Applications Conference (COMPSAC), 2015: 702-711  

4. Xinhuan Chen, Yong Zhang, Jennifer Xu, Chunxiao Xing, Hsinchun Chen: Health-Related Spammer Detection on Chinese Social Media. International Conference on Smart Health (ICSH), 2015: 284-295

5. Yan Zhang, Yong Zhang, Jennifer Xu, Chunxiao Xing, Hsinchun Chen: Sentiment Analysis on Chinese Health Forums: A Preliminary Study of Different Language Models. International Conference on Smart Health (ICSH), 2015: 68-81

6. Yan Zhang, Yong Zhang, Yanshen Yin, Jennifer Xu, Chunxiao Xing, Hsinchun Chen: Chronic Disease Related Entity Extraction in Online Chinese Question and Answer Services. International Conference on Smart Health (ICSH), 2015: 55-67

7. Xinhui Xu, Yong Zhang, Qingcheng Hu, Chunxiao Xing: A Balanced Method for Budgeted Influence Maximization. International Conference on Software Engineering and Knowledge Engineering (SEKE), 2015: 250-255

8. Zhiwen Jiang, Yong Zhang, Jin Wang, Chunxiao Xing: A Cost-aware Buffer Management Policy for Flash-based Storage Devices. International Conference on Database Systems for Advanced Applications (DASFAA), 2015: 175-190

9. Xinhuan Chen, Yong Zhang, Yanshen Yin, Chao Li, Chunxiao Xing: A LDA-Based Algorithm for Length-Aware Text Clustering. Asia-Pacific Web Conference (APWeb), 2014: 503-510

10. Zhiwen Jiang, Yong Zhang, Jin Wang, Chao Li, Chunxiao Xing: TL: A High Performance Buffer Replacement Strategy for Read-Write Splitting Web Applications. Asia-Pacific Web Conference (APWeb), 2014: 478-484

11. Xinhuan Chen, Yong Zhang, Chunxiao Xing, Xiao Liu, Hsinchun Chen: Diabetes-Related Topic Detection in Chinese Health Websites Using Deep Learning. International Conference on Smart Health (ICSH), 2014: 13-24

12. Yanshen Yin, Yong Zhang, Xiao Liu, Yan Zhang, Chunxiao Xing, Hsinchun Chen: HealthQA: A Chinese QA Summary System for Smart Health. International Conference on Smart Health (ICSH), 2014: 51-62

13. Chao Lan, Yong Zhang, Chunxiao Xing, Chao Li: Continuous Temporal Top-k Query over Versioned Documents. Interational Conference on Web-Age Information Management (WAIM), 2014: 494-497

14. Pengfei Ma, Yong Zhang: MAKM: A MAFIA-Based k-Means Algorithm for Short Text in Social Networks. International Conference on Database Systems for Advanced Applications (DASFAA), 2013: 210-218

## Selected Publications (Chinese)

1. 盛明, 陈玉思, 张勇, 韩光洁, 黄天昊, 邢春晓. 一种面向医疗健康领域知识图谱的可扩展系统架构的研究[J]. 小型微型计算机系统, 2019, 40(10):2150-2154.
2. 盛明, 张勇, 邢春晓. 基于医在回路的医疗健康知识图谱系统架构研究. 安徽大学学报, 2019, 43(6)
3. 田洪亮, 张勇, 李超, 邢春晓. 云环境下数据库机密性保护技术研究综述[J]. 计算机学报, 2017, 40(10): 2245-2270.
4. 田洪亮, 张勇, 许信辉, 李超, 邢春晓. 可信固态硬盘:大数据安全的新基础[J]. 计算机学报, 2016, 39(01): 154-168.
5. 盛明,张勇,李超,邢春晓.一种基于大数据分析的移动健康服务平台[J].智慧健康,2016,2(02):45-49.
6. 胡庆成, 张勇, 许信辉, 邢春晓, 陈池, 陈信欢. 一种新的复杂网络影响力最大化发现方法[J]. 物理学报, 2015, 64(19): 27-38.
7. 胡庆成, 尹龑燊, 马鹏斐, 高旸, 张勇, 邢春晓. 一种新的网络传播中最有影响力的节点发现方法[J]. 物理学报, 2013, 62(14): 9-19.
8. 崔跃生, 张勇, 曾春, 冯建华, 邢春晓. 数据库物理结构优化技术[J].软件学报, 2013, 24(04): 761-780.
9. 明华, 张勇, 符小辉. 数据溯源技术综述[J]. 小型微型计算机系统, 2012, 33(09): 1917-1923.