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ORCIDMing Zhang 0004
Person information
- affiliation: Peking University, School of Computer Science, Beijing, China
Other persons with the same name
- Ming Zhang — disambiguation page
- Ming Zhang 0001 — Zhejiang University, Institute of Information and Communication Engineering, Hangzhou, China (and 1 more)
- Ming Zhang 0002
![[0000-0002-6027-4594]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6027-4594")
— Hong Kong Polytechnic University, Department of Health Technology & Information, Hong Kong - Ming Zhang 0003 — Harbin Engineering University, College of Information and Telecommunication, China
- Ming Zhang 0005 — Alibaba Group (and 1 more)
- Ming Zhang 0006 — University of Ottawa, PARADISE Research Laboratory, ON, Canada (and 1 more)
- Ming Zhang 0007 — University of Paris-Sud, Orsay, France
- Ming Zhang 0008 — Texas A&M University, Department of Computer Science, College Station, TX, USA
- Ming Zhang 0009 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan, China
- Ming Zhang 0010 — Xi'an Jiaotong University, School of Electronic and Information Engineering, China
- Ming Zhang 0011 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Ming Zhang 0012 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Ming Zhang 0013 — Anhui Polytechnic University, Wuhu, China
- Ming Zhang 0014 — Tsinghua University, Department of Precision Instruments and Mechanology, Beijing, China
- Ming Zhang 0015 — Tsinghua University, Graduate School at Shenzhen, Shenzhen, China
- Ming Zhang 0016 — Mindray, Nanshan, China (and 1 more)
- Ming Zhang 0017 — Intel, CA, USA (and 1 more)
- Ming Zhang 0018 — Zhejiang University, Hangzhou, China
- Ming Zhang 0019 — China University of Geosciences, Wuhan, China
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2020 – today
- 2022
[j18]Ruiyi Zhang, Yunan Luo, Jianzhu Ma, Ming Zhang, Sheng Wang:
scPretrain: multi-task self-supervised learning for cell-type classification. Bioinform. 38(6): 1607-1614 (2022)- [c132]Yifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang, Ming Zhang:
Deep Graph Mutual Learning for Cross-domain Recommendation. DASFAA (2) 2022: 298-305 - [c131]Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang:
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. WSDM 2022: 421-429 - 2021
- [c130]Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. EMNLP (Findings) 2021: 2269-2279 - [c129]Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang:
Graphine: A Dataset for Graph-aware Terminology Definition Generation. EMNLP (1) 2021: 3453-3463 - [c128]Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun:
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference. EMNLP (1) 2021: 9753-9771 - [i36]Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang:
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation. CoRR abs/2106.10879 (2021) - [i35]Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. CoRR abs/2109.03034 (2021) - [i34]Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang:
Graphine: A Dataset for Graph-aware Terminology Definition Generation. CoRR abs/2109.04018 (2021) - 2020
- [c127]Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang:
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks. ACL 2020: 5832-5841 - [c126]Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang:
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. AMIA 2020 - [c125]Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang:
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation. CIKM 2020: 1605-1614 - [c124]Yichun Yin, Chenguang Wang, Ming Zhang:
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction. COLING 2020: 1714-1719 - [c123]Ming Zhang, Shixing Liu, Yifan Wang:
STR-SA: Session-based Thread Recommendation for Online Course Forum with Self-Attention. EDUCON 2020: 374-381 - [c122]Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang:
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. ICLR 2020 - [c121]Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang:
A Graph to Graphs Framework for Retrosynthesis Prediction. ICML 2020: 8818-8827 - [c120]Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Jiang Yang, Xiaobo Li, Ming Zhang, Yizhou Wang:
Augmented Bi-path Network for Few-shot Learning. ICPR 2020: 8461-8468 - [c119]Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu:
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. MICCAI (6) 2020: 24-34 - [c118]Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu:
Multi-agent Trajectory Prediction with Fuzzy Query Attention. NeurIPS 2020 - [i33]Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang:
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. CoRR abs/2001.09382 (2020) - [i32]Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang:
A Graph to Graphs Framework for Retrosynthesis Prediction. CoRR abs/2003.12725 (2020) - [i31]Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang:
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. CoRR abs/2004.05318 (2020) - [i30]Zequn Liu, Ruiyi Zhang, Yiping Song, Ming Zhang:
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications. CoRR abs/2005.11700 (2020) - [i29]Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Jiang Yang, Xiaobo Li, Ming Zhang, Yizhou Wang:
Augmented Bi-path Network for Few-shot Learning. CoRR abs/2007.07614 (2020) - [i28]Yicheng Wu, Chengwei Pan, Shuqi Wang, Ming Zhang, Yong Xia, Yizhou Yu:
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation. CoRR abs/2010.04428 (2020) - [i27]Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu:
Multi-agent Trajectory Prediction with Fuzzy Query Attention. CoRR abs/2010.15891 (2020) - [i26]Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu:
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. CoRR abs/2012.07262 (2020)
2010 – 2019
- 2019
- [j17]Ming Zhang, Stephen Cooper, Andrew Luxton-Reilly:
Report on the First ACM Global Computing Education Conference (CompEd). ACM SIGCSE Bull. 51(3): 4-6 (2019) - [j16]Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu:
Combating Fake News: A Survey on Identification and Mitigation Techniques. ACM Trans. Intell. Syst. Technol. 10(3): 21:1-21:42 (2019) - [j15]Ming Zhang, Jile Zhu, Zhuo Wang, Yunfan Chen:
Providing personalized learning guidance in MOOCs by multi-source data analysis. World Wide Web 22(3): 1189-1219 (2019) - [c117]Ming Zhang, Yichun Yin:
More Chinese women needed to hold up half the computing sky. ACM TUR-C 2019: 69:1-69:4 - [c116]Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang:
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. AMIA 2019 - [c115]Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang:
Predictive Multi-level Patient Representations from Electronic Health Records. BIBM 2019: 987-990 - [c114]Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang:
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CIKM 2019: 1161-1170 - [c113]Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang:
Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation. CinC 2019: 1-4 - [c112]Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu:
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision. ICCV 2019: 10631-10640 - [c111]Alison Clear, Allen S. Parrish, John Impagliazzo, Ming Zhang:
Computing Curricula 2020: Introduction and Community Engagement. SIGCSE 2019: 653-654 - [c110]Alison Clear, John Impagliazzo, Ming Zhang:
Computing Competencies and the CC2020 Project. SIGCSE 2019: 1245-1246 - [c109]Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang:
Session-Based Social Recommendation via Dynamic Graph Attention Networks. WSDM 2019: 555-563 - [e1]Ming Zhang, Bo Yang, Steve Cooper, Andrew Luxton-Reilly:
Proceedings of the ACM Conference on Global Computing Education, CompEd 2019, Chengdu,Sichuan, China, May 17-19, 2019. ACM 2019, ISBN 978-1-4503-6259-7 [contents] - [i25]Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu:
Combating Fake News: A Survey on Identification and Mitigation Techniques. CoRR abs/1901.06437 (2019) - [i24]Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang:
Session-based Social Recommendation via Dynamic Graph Attention Networks. CoRR abs/1902.09362 (2019) - [i23]Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang:
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. CoRR abs/1903.08652 (2019) - [i22]Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang, Jian Tang:
Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning. CoRR abs/1906.09506 (2019) - [i21]Mengdi Zhu, Zheye Deng, Wenhan Xiong, Mo Yu, Ming Zhang, William Yang Wang:
Towards Open-Domain Named Entity Recognition via Neural Correction Models. CoRR abs/1909.06058 (2019) - [i20]Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang:
Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation. CoRR abs/1910.06792 (2019) - [i19]Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang:
Learning to Customize Language Model for Generation-based dialog systems. CoRR abs/1910.14326 (2019) - [i18]Yichun Yin, Chenguang Wang, Ming Zhang:
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction. CoRR abs/1911.03785 (2019) - [i17]Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang:
Predictive Multi-level Patient Representations from Electronic Health Records. CoRR abs/1911.05698 (2019) - [i16]Yikai Zhu, Jianhao Shen, Ming Zhang:
Learning to Answer Ambiguous Questions with Knowledge Graph. CoRR abs/1912.11668 (2019) - 2018
- [j14]Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks. Data Min. Knowl. Discov. 32(6): 1735-1767 (2018) - [j13]John Impagliazzo, Ming Zhang, Xi Wu:
SIGCSE launches new conference on a global scale. ACM SIGCSE Bull. 50(4): 2-3 (2018) - [c108]Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang:
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. AAAI 2018: 109-116 - [c107]Yiping Song, Rui Yan, Yansong Feng, Yaoyuan Zhang, Dongyan Zhao, Ming Zhang:
Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes. AAAI 2018: 5932-5939 - [c106]Pengtao Xie, Haoran Shi, Ming Zhang, Eric P. Xing:
A Neural Architecture for Automated ICD Coding. ACL (1) 2018: 1066-1076 - [c105]Xiang Li, Ming Zhang:
Emotion Analysis for the Upcoming Response in Open-Domain Human-Computer Conversation. APWeb/WAIM Workshops 2018: 352-367 - [c104]Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan:
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems. IJCAI 2018: 4382-4388 - [c103]Mihaela Sabin, John Impagliazzo, Hala Alrumaih, Cara Tang, Ming Zhang:
IT2017 Report: Implementing A Competency-Based Information Technology Program. SIGCSE 2018: 1045-1046 - [c102]Barbara Boucher Owens, Alison Clear, John Impagliazzo, Mirella M. Moro, Ming Zhang:
Global Awareness for Computing Educators and Scholars: (Abstract Only). SIGCSE 2018: 1069 - [i15]Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang:
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. CoRR abs/1803.04837 (2018) - [i14]Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang:
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CoRR abs/1810.11921 (2018) - 2017
- [c101]Ming Zhang, Jile Zhu:
A data-driven analysis of student efforts and improvements on a SPOC experiment. ACM TUR-C 2017: 1:1-1:6 - [c100]Yunfan Chen, Ming Zhang:
MOOC student dropout: pattern and prevention. ACM TUR-C 2017: 4:1-4:6 - [c99]Yao Guo, Junlin Lu, Yifeng Chen, Ming Zhang, Wenxin Li:
Hybrid small class teaching: dividing and conquering large computer systems classes. ACM TUR-C 2017: 5:1-5:6 - [c98]Xiang Li, Rui Yan, Ming Zhang:
Joint Emoji Classification and Embedding Learning. APWeb/WAIM (2) 2017: 48-63 - [c97]Feng Qian, ChengYue Gong, Lu-chen Liu, Lei Sha, Ming Zhang:
Topic medical concept embedding: Multi-sense representation learning for medical concept. BIBM 2017: 404-409 - [c96]Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han:
Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks. CIKM 2017: 1629-1638 - [c95]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CIKM 2017: 1767-1776 - [c94]Jile Zhu, Xiang Li, Zhuo Wang, Ming Zhang:
An Effective Framework for Automatically Generating and Ranking Topics in MOOC Videos. EDM 2017 - [c93]Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang:
Syntax Aware LSTM model for Semantic Role Labeling. SPNLP@EMNLP 2017: 27-32 - [c92]Yichun Yin, Yangqiu Song, Ming Zhang:
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension. EMNLP 2017: 2044-2054 - [c91]He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, Yizhou Sun:
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks. IJCAI 2017: 1944-1950 - [c90]Ziqian Zeng, Yichun Yin, Yangqiu Song, Ming Zhang:
Socialized Word Embeddings. IJCAI 2017: 3915-3921 - [c89]Yiping Song, Zhiliang Tian, Dongyan Zhao, Ming Zhang, Rui Yan:
Diversifying Neural Conversation Model with Maximal Marginal Relevance. IJCNLP(2) 2017: 169-174 - [c88]Yichun Yin, Yangqiu Song, Ming Zhang:
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings. SemEval@ACL 2017: 621-625 - [c87]Alison Clear, Allen Parrish, Ming Zhang, Gerrit C. van der Veer:
CC2020: A Vision on Computing Curricula. SIGCSE 2017: 647-648 - [c86]Mihaela Sabin, Svetlana Peltsverger, Bill Paterson, Ming Zhang, Hala Alrumaih:
IT2017 Report: Putting It to Work. SIGITE 2017: 95-96 - [i13]Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang:
Syntax Aware LSTM Model for Chinese Semantic Role Labeling. CoRR abs/1704.00405 (2017) - [i12]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CoRR abs/1709.06636 (2017) - [i11]Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing:
Towards Automated ICD Coding Using Deep Learning. CoRR abs/1711.04075 (2017) - 2016
- [j12]John Impagliazzo, Yan Timanovsky, Ming Zhang:
EduBits. Inroads 7(1): 14-16 (2016) - [j11]Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han:
World Knowledge as Indirect Supervision for Document Clustering. ACM Trans. Knowl. Discov. Data 11(2): 13:1-13:36 (2016) - [c85]Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
Text Classification with Heterogeneous Information Network Kernels. AAAI 2016: 2130-2136 - [c84]Rui Yan, Cheng-Te Li, Xiaohua Hu, Ming Zhang:
Chinese Couplet Generation with Neural Network Structures. ACL (1) 2016 - [c83]Xiang Li, Lili Mou, Rui Yan, Ming Zhang:
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. IJCAI 2016: 2845-2851 - [c82]Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou:
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. IJCAI 2016: 2979-2985 - [c81]Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming Zhang:
Dialogue Session Segmentation by Embedding-Enhanced TextTiling. INTERSPEECH 2016: 2706-2710 - [c80]Chris Johnson, Monica McGill, Durell Bouchard, Michael K. Bradshaw, Víctor A. Bucheli, Laurence D. Merkle, Michael James Scott, Elizabeth Sweedyk, Jesus Ángel Velázquez-Iturbide, Zhiping Xiao, Ming Zhang:
Game Development for Computer Science Education. ITiCSE-WGR 2016: 23-44 - [c79]Cara Tang, Elizabeth K. Hawthorne, Cindy S. Tucker, Ernesto Cuadros-Vargas, Diana Cukierman, Simon, Ming Zhang:
Global Perspectives on the Role of Two-Year/Technical/Junior Colleges in Computing Education. ITiCSE 2016: 204-205 - [c78]Zhuo Wang, Jile Zhu, Xiang Li, Zhiting Hu, Ming Zhang:
Structured Knowledge Tracing Models for Student Assessment on Coursera. L@S 2016: 209-212 - [c77]Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang:
RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks. SDM 2016: 621-629 - [c76]Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei:
Visualizing Large-scale and High-dimensional Data. WWW 2016: 287-297 - [i10]Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei:
Visualization Large-scale and High-dimensional Data. CoRR abs/1602.00370 (2016) - [i9]Xiang Li, Lili Mou, Rui Yan, Ming Zhang:
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. CoRR abs/1604.04358 (2016) - [i8]Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou:
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. CoRR abs/1605.07843 (2016) - [i7]Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han:
World Knowledge as Indirect Supervision for Document Clustering. CoRR abs/1608.00104 (2016) - [i6]Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming Zhang:
Dialogue Session Segmentation by Embedding-Enhanced TextTiling. CoRR abs/1610.03955 (2016) - [i5]Yiping Song, Rui Yan, Xiang Li, Dongyan Zhao, Ming Zhang:
Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems. CoRR abs/1610.07149 (2016) - [i4]Jian Tang, Yifan Yang, Samuel Carton, Ming Zhang, Qiaozhu Mei:
Context-aware Natural Language Generation with Recurrent Neural Networks. CoRR abs/1611.09900 (2016) - [i3]Jian Tang, Ming Zhang, Qiaozhu Mei:
Less is More: Learning Prominent and Diverse Topics for Data Summarization. CoRR abs/1611.09921 (2016) - 2015
- [c75]Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang:
Spectral Label Refinement for Noisy and Missing Text Labels. AAAI 2015: 2972-2978 - [c74]Ziqi Wang, Ming Zhang:
Feedback Model for Microblog Retrieval. DASFAA (1) 2015: 529-544 - [c73]Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks. ICDM 2015: 1015-1020 - [c72]Xiaosong Rong, Zhuo Wang, Ziqi Wang, Ming Zhang:
Classifying Stances of Interaction Posts in Social Media Debate Sites. ICIC (2) 2015: 259-269 - [c71]Rui Yan, Yiping Song, Cheng-Te Li, Ming Zhang, Xiaohua Hu:
Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model. IJCAI 2015: 1025-1032 - [c70]Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang:
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations. IJCAI 2015: 3882-3889 - [c69]Mihaela Sabin, John Impagliazzo, Hala Alrumaih, Brenda Byers, Daina Gudoniene, Margaret Hamilton, Vsevolod Kotlyarov, Barry M. Lunt, James W. McGuffee, Svetlana Peltsverger, Cara Tang, Barbara Viola, Ming Zhang:
Multinational Perspectives on Information Technology from Academia and Industry. ITiCSE-WGR 2015: 149-171 - [c68]Chenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han:
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. KDD 2015: 1215-1224 - [c67]Ming Zhang, Jile Zhu, Yanzhen Zou, Hongfei Yan, Dan Hao, Chuxiong Liu:
Educational Evaluation in the PKU SPOC Course "Data Structures and Algorithms". L@S 2015: 237-240 - [c66]Mihaela Sabin, Hala Alrumaih, John Impagliazzo, Barry M. Lunt, Cara Tang, Ming Zhang:
ACM/IEEE-CS Information Technology Curriculum 2017: A Status Update. SIGITE 2015: 75-76 - [c65]Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei:
LINE: Large-scale Information Network Embedding. WWW 2015: 1067-1077 - [i2]Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei:
LINE: Large-scale Information Network Embedding. CoRR abs/1503.03578 (2015) - 2014
- [j10]Ming Zhang, Long Zhang:
Undergraduate IT education in China. Inroads 5(3): 49-55 (2014) - [j9]Ziqi Wang, Gu Xu, Hang Li, Ming Zhang:
A Probabilistic Approach to String Transformation. IEEE Trans. Knowl. Data Eng. 26(5): 1063-1075 (2014) - [c64]Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang:
SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis. AAAI 2014: 1636-1642 - [c63]Jian Tang, Zhaoshi Meng, XuanLong Nguyen, Qiaozhu Mei, Ming Zhang:
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis. ICML 2014: 190-198 - [c62]Mingmin Zhao, Ruipeng Gao, Jiaxu Zhu, Tao Ye, Fan Ye, Yizhou Wang, Kaigui Bian, Guojie Luo, Ming Zhang:
VeLoc: finding your car in the parking lot. SenSys 2014: 346-347 - [c61]Ming Zhang, Bo Li, Ginnie Lo:
China's perspective from the viewpoint of computational thinking on CS1 for non-majors (abstract only). SIGCSE 2014: 730 - [i1]