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ORCIDMing Zhong 0002
Person information
- unicode name: 钟鸣
- affiliation: Wuhan University, School of Computer Science, Wuhan, China
Other persons with the same name
- Ming Zhong — disambiguation page
- Ming Zhong 0001 — Tsinghua National Laboratory for Information Science and Technology, Beijing, China (and 1 more)
- Zhong Ming 0001
![[0000-0001-9310-3460]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9310-3460")
(aka: Ming Zhong 0003) — Shenzhen University, College of Computer Science and Software Engineering, Big Data Institute, Shenzhen, China (and 1 more) - Ming Zhong 0004 — Wuhan University of Technology, Intelligent Transportation Systems Research Center, Wuhan, China
- Ming Zhong 0005 — University of Illinois Urbana-Champaign, Department of Computer Science, Urbana, IL, USA (and 1 more)
- Ming Zhong 0006 — Google, Inc., Mountain View, CA, USA (and 1 more)
- Ming Zhong 0007 — Google, Mountain View, CA, USA (and 1 more)
- Ming Zhong 0008 — Texas A&M University, Institute of Data Science, College Station, TX, USA (and 2 more)
- Ming Zhong 0009 — Zhejiang Normal University, College of Mathematics and Computer Science, Jinhua, China (and 1 more)
- Ming Zhong 0010 — Harbin Institute of Technology, Industrial Research Institute of Robotics and Intelligent Equipment, Weihai, China (and 1 more)
- Ming Zhong 0011 — Fudan University, School of Computer Science, Shanghai, China
- Ming Zhong 0012 — Beijing Institute of Petrochemical Technology, School of Information Engineering, Beijing, China
- Ming Zhong 0013 — York University, Toronto, Canada
- Ming Zhong 0014 — Microsoft, AI for Good Research Lab, USA
- Ming Zhong 0015 — Microsoft STCA, Beijing, China (and 1 more)
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2020 – today
- 2024
[j17]Guotong Xue, Ming Zhong, Tieyun Qian, Jianxin Li:
PSA-GNN: An augmented GNN framework with priori subgraph knowledge. Neural Networks 173: 106155 (2024)- [j16]Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
A Unified and Scalable Algorithm Framework of User-Defined Temporal $(k,\mathcal {X})$(k,X)-Core Query. IEEE Trans. Knowl. Data Eng. 36(7): 2831-2845 (2024) - 2023
- [j15]Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Scalable Time-Range k-Core Query on Temporal Graphs. Proc. VLDB Endow. 16(5): 1168-1180 (2023) - [j14]Ming Zhong, Yingyi Zheng, Guotong Xue, Mengchi Liu:
Reliable Keyword Query Interpretation on Summary Graphs. IEEE Trans. Knowl. Data Eng. 35(5): 5187-5202 (2023) - [j13]Wanli Li, Tieyun Qian, Ming Zhong, Xu Chen:
Interactive Lexical and Semantic Graphs for Semisupervised Relation Extraction. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7158-7169 (2023) - [j12]Ke Sun, Tieyun Qian, Chenliang Li, Xuan Ma, Qing Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu:
Pre-Training Across Different Cities for Next POI Recommendation. ACM Trans. Web 17(4): 31:1-31:27 (2023) - [j11]Ke Sun, Tieyun Qian, Ming Zhong, Xuhui Li:
Towards more effective encoders in pre-training for sequential recommendation. World Wide Web (WWW) 26(5): 2801-2832 (2023) - [c29]Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian:
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. IJCAI 2023: 6299-6307 - [i4]Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Scalable Time-Range k-Core Query on Temporal Graphs(Full Version). CoRR abs/2301.03770 (2023) - [i3]Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian:
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. CoRR abs/2306.06601 (2023) - [i2]Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k, X)-Core Analysis. CoRR abs/2309.00361 (2023) - 2022
- [j10]Guotong Xue, Ming Zhong, Jianxin Li, Jia Chen, Chengshuai Zhai, Ruochen Kong:
Dynamic network embedding survey. Neurocomputing 472: 212-223 (2022) - [j9]Jia Chen, Ming Zhong, Jianxin Li, Dianhui Wang, Tieyun Qian, Hang Tu:
Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. IEEE Trans. Cybern. 52(7): 5935-5946 (2022) - [c28]Zhao Lu, Yuanyuan Zhu, Ming Zhong, Jeffrey Xu Yu:
On Time-optimal (k, p)-core Community Search in Dynamic Graphs. ICDE 2022: 1396-1407 - 2021
- [j8]Kejian Tang, Shaohui Zhan, Tao Zhan, Hui Zhu, Qian Zeng, Ming Zhong, Xiaoyu Zhu, Yuanyuan Zhu, Jianxin Li, Tieyun Qian:
Efficient Sample Location Selection for Query Zone in Geo-Social Networks. Complex. 2021: 2581288:1-2581288:15 (2021) - [j7]Qian Zeng, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Jianxin Li:
Business location planning based on a novel geo-social influence diffusion model. Inf. Sci. 559: 61-74 (2021) - [j6]Ke Sun, Tieyun Qian, Xu Chen, Ming Zhong:
Context-aware seq2seq translation model for sequential recommendation. Inf. Sci. 581: 60-72 (2021) - [c27]Guanghua Li, Qiyan Li, Jingqiao Liu, Yuanyuan Zhu, Ming Zhong:
FANE: A Fusion-Based Attributed Network Embedding Framework. APWeb/WAIM (1) 2021: 53-60 - [c26]Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Juan Liu:
COMNA: Core-attachment based protein complex detection via multiple network alignment. BIBM 2021: 241-244 - [i1]Guotong Xue, Ming Zhong, Jianxin Li, Jia Chen, Chengshuai Zhai, Ruochen Kong:
Dynamic Network Embedding Survey. CoRR abs/2103.15447 (2021) - 2020
- [j5]Huanyu Cheng, Ming Zhong, Jian Wang:
Diversified keyword search based web service composition. J. Syst. Softw. 163: 110540 (2020) - [c25]Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Rong Peng, Juan Liu:
GPPIAL: A New Global PPI Network Aligner Based on Orthologs. BIBM 2020: 100-107 - [c24]Qian Zeng, Ming Zhong, Yuanyuan Zhu, Jianxin Li:
Business Location Selection Based on Geo-Social Networks. DASFAA (3) 2020: 36-52 - [c23]Yuanyuan Zhu, Kailin Ding, Ming Zhong, Lijia Wei:
STIM: Scalable Time-Sensitive Influence Maximization in Large Social Networks. DASFAA (3) 2020: 120-136
2010 – 2019
- 2019
- [j4]Roland Pail, Hsien-Chi Yeh, Wei Feng, Markus Hauk, Anna Purkhauser, Changqing Wang, Ming Zhong, Yunzhong Shen, Qiujie Chen, Zhicai Luo, Hao Zhou, Bingshi Liu, Yongqi Zhao, Xiancai Zou, Xinyu Xu, Bo Zhong, Roger Haagmans, Houze Xu:
Next-Generation Gravity Missions: Sino-European Numerical Simulation Comparison Exercise. Remote. Sens. 11(22): 2654 (2019) - [c22]Ming Zhong, Huanyu Cheng, Ying Wang, Yuanyuan Zhu, Tieyun Qian, Jianxin Li:
Towards both Local and Global Query Result Diversification. DASFAA (2) 2019: 464-481 - [c21]Huanyu Cheng, Ming Zhong, Jian Wang, Tieyun Qian:
Keyword Search Based Mashup Construction with Guaranteed Diversity. DEXA (2) 2019: 423-433 - [c20]Chaoqun Yang, Yuanyuan Zhu, Ming Zhong, Rongrong Li:
Semantic Similarity Computation in Knowledge Graphs: Comparisons and Improvements. ICDE Workshops 2019: 249-252 - 2018
- [c19]Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li:
BASSI: Balance and Status Combined Signed Network Embedding. DASFAA (1) 2018: 55-63 - [c18]Ming Zhong, Ying Wang, Yuanyuan Zhu:
Coverage-Oriented Diversification of Keyword Search Results on Graphs. DASFAA (2) 2018: 166-183 - [c17]Ming Zhong, Qian Zeng, Yuanyuan Zhu, Jianxin Li, Tieyun Qian:
Sample Location Selection for Efficient Distance-Aware Influence Maximization in Geo-Social Networks. DASFAA (1) 2018: 355-371 - 2017
- [c16]Ying Wang, Ming Zhong, Yuanyuan Zhu, Xuhui Li, Tieyun Qian:
Diversified Top-k Keyword Query Interpretation on Knowledge Graphs. APWeb/WAIM (1) 2017: 541-555 - [c15]Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li:
Exploit Label Embeddings for Enhancing Network Classification. DEXA (2) 2017: 450-458 - 2016
- [j3]Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng, Ming Zhong, Guoliang He, Xuhui Li, Gang Xu:
Tri-Training for authorship attribution with limited training data: a comprehensive study. Neurocomputing 171: 798-806 (2016) - [c14]Peisong Zhu, Tieyun Qian, Ming Zhong, Xuhui Li:
Inferring Users' Gender from Interests: A Tag Embedding Approach. ICONIP (4) 2016: 86-94 - 2015
- [c13]Li Chen, Tieyun Qian, Fei Wang, Zhenni You, Qingxi Peng, Ming Zhong:
Age Detection for Chinese Users in Weibo. WAIM 2015: 83-95 - [c12]Xuhui Li, Yijun Guan, Mengchi Liu, Rui Cai, Ming Zhong, Tieyun Qian:
LDM: A DTD Schema Mapping Language Based on Logic Patterns. WAIM 2015: 559-562 - 2014
- [j2]Qingxi Peng, Ming Zhong:
Detecting Spam Review through Sentiment Analysis. J. Softw. 9(8): 2065-2072 (2014) - [c11]Tieyun Qian, Bing Liu, Ming Zhong, Guoliang He:
Co-training on authorship attribution with very fewlabeled examples: methods vs. views. SIGIR 2014: 903-906 - [c10]Mengdi Fan, Tieyun Qian, Li Chen, Bin Liu, Ming Zhong, Guoliang He:
Authorship Attribution with Very Few Labeled Data: A Co-training Approach. WAIM 2014: 657-668 - 2013
- [j1]Ming Zhong, Mengchi Liu, Yanxiang He:
3SEPIAS: A Semi-Structured Search Engine for Personal Information in dAtaspace System. Inf. Sci. 218: 31-50 (2013) - [c9]Junlong Huang, Tieyun Qian, Guoliang He, Ming Zhong, Qingxi Peng:
Detecting Professional Spam Reviewers. ADMA (2) 2013: 288-299 - [c8]Ming Zhong, Mengchi Liu, Zhifeng Bao, Xuhui Li, Tieyun Qian:
MVP Index: Towards Efficient Known-Item Search on Large Graphs. DASFAA (1) 2013: 193-200 - [c7]Xuhui Li, Shanfeng Zhu, Mengchi Liu, Ming Zhong:
Presenting XML Schema Mapping with Conjunctive-Disjunctive Views. WAIM 2013: 105-110 - 2012
- [c6]Ming Zhong, Sheng Wang, Ming Wu:
Revising word lattice using support vector machine for Chinese word segmentation. iiWAS 2012: 352-355 - [c5]Ming Zhong, Mengchi Liu:
A distributed index for efficient parallel top-k keyword search on massive graphs. WIDM 2012: 27-32
2000 – 2009
- 2009
- [c4]Ming Zhong, Mengchi Liu:
3se: a semi-structured search engine for heterogeneous data in graph model. CIKM 2009: 1405-1408 - [c3]Ming Zhong, Mengchi Liu:
A Flexible Data Warehousing Approach for One-Stop Querying on Heterogeneous Personal Information. DEXA Workshops 2009: 412-416 - [c2]Ming Zhong, Mengchi Liu:
Efficient keyword proximity search using a frontier-reduce strategy based on d-distance graph index. IDEAS 2009: 206-216 - 2008
- [c1]Ming Zhong, Mengchi Liu, Qian Chen:
Modeling heterogeneous data in dataspace. IRI 2008: 404-409
Coauthor Index
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last updated on 2024-06-18 22:58 CEST by the dblp team
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