“科研进展”的版本间的差异

来自南京大学IIP
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'''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</span>'''
 
'''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</span>'''
 
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2019</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">&nbsp;</span></span></p>  
 
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2019</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">&nbsp;</span></span></p>  
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#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Qiao Y., Wu J., Zhang L. and Wang C..Mechanism Design for Cross-Market Task Crowdsourcing[C]. ''2019 IEEE/ACM International Symposium On Quality of Service(IWQoS)''</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">, Accepted</span></span>
 
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhan Q., Emeryx S.,&nbsp;Wang C. and Liu Y..Opinion Mining in Online Media for Public Health Campaigns[J]. ''Journal of Medical Imaging and Health Informatics'', Accepted</span></span>  
 
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhan Q., Emeryx S.,&nbsp;Wang C. and Liu Y..Opinion Mining in Online Media for Public Health Campaigns[J]. ''Journal of Medical Imaging and Health Informatics'', Accepted</span></span>  
 
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhang Y., Wang C. and etc..Many Can Be Better Than All: A Novel Instance-oriented algorithm for Multi-modal Multi-lable Problem. In ''Proceedings of ICME&nbsp;2019'', Accepted</span></span>  
 
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhang Y., Wang C. and etc..Many Can Be Better Than All: A Novel Instance-oriented algorithm for Multi-modal Multi-lable Problem. In ''Proceedings of ICME&nbsp;2019'', Accepted</span></span>  

2019年4月16日 (二) 10:15的版本



研究成果


Selected Paper

2019 

  1. Qiao Y., Wu J., Zhang L. and Wang C..Mechanism Design for Cross-Market Task Crowdsourcing[C]. 2019 IEEE/ACM International Symposium On Quality of Service(IWQoS), Accepted
  2. Zhan Q., Emeryx S., Wang C. and Liu Y..Opinion Mining in Online Media for Public Health Campaigns[J]. Journal of Medical Imaging and Health Informatics, Accepted
  3. Zhang Y., Wang C. and etc..Many Can Be Better Than All: A Novel Instance-oriented algorithm for Multi-modal Multi-lable Problem. In Proceedings of ICME 2019, Accepted
  4. Sun W., Ran X.. Luo X., and Wang C..An Efficient Framework by Topic Model for Multi-label Text Classification. In Proceedings of IJCNN 2019, Accepted
  5. Xu Y., Ran X.. Sun W., Luo X. and Wang C..Gated Neural Network with Regularized Loss for Multi-label Text Classification. In Proceedings of IJCNN 2019, Accepted
  6. Zeng C., Zhang Y.. Lu H. and Wang C..GADGET: Using Gated GRU for Biomedical Event Trigger Detection. In Proceedings of IJCNN 2019, Accepted
  7. Wu J., Zhang Y., Qiao Y., Zhang L., Wang C., Xie J.Multi-unit Budget Feasible Mechanisms for Cellular Traffic Offloading. In Proceedings of AAMAS 2019, Accepted
  8. Lu Q., Xu Y, Wang C. and etc. Enhancing Label Correlations by Text Features for Multi-label Classification. In Proceedings of DASFAA 2019, Accepted
  9. Ran X., Pan Y., Wang C. and etc. Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis. In Proceedings of DASFAA 2019, Accepted
  10. Zhan Q, Philip Y, Wang C and etc. Different Anti-Vaping Campaigns Attactingthe Same Opponent Community[J]. IEEE Transactions on NanoBioscience, Accepted
  11. Peng Y, Wang C and etc. A General Framework for Multi-Label Learning Towards Class Correlations and Class Imbalance[J]. Intelligent Data Analysis, Accepted
  12. Lu H, Tang C, Wang C and etc. Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios[J]. Intelligent Data Analysis, Accepted
  13. YangJ, Wang C., Xie J. Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity, Aspect Memory and Dependency Information[J]. ACM Transactions on Asian and Low-resource Language Information Processing, Accepted
  14. Pang B., Wang C. A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder. In Proceedings of PAKDD2019Accepted

2018

  1. Lu H, Li Y, Tang C, Wang C and Xie J. Constructing Pseudo Documents with Semantic Siliarity for Short Text Topic Descovery. In ICONIP 2018,  SiemReap, Cambodia. Dec.13-16,2018:437-449
  2. QiaoY, SONG Y, WANG N, and etc, A False-name-proof Protocol for Multicast Routing Auctions. In Proceedings of ISPA2018, Melbourne, Australia, Dec. 11-13, 2018: 72-79.
  3. QiaoY, GU Y, Wu J and etc, A Truthful Profit-oriented Mechanism for Mobile Crowdsensing. In Proceedings of ISPA2018, Melbourne, Australia, Dec. 11-13, 2018:64-71.
  4. Feng Y., Tang J., Wang C., XieJ. CuAPSS: A Hybrid CUDA Solution for AllPairsSimilarity Search. In Proceedings of ICA3PP 2018. Guangzhou, China Nov. 15-17, 2018: 421–436
  5. Lu H., Ge G., Li Y., Wang C., Xie J. Exploiting Global Semantic Similarity Biterms for Short-text Topic Discovery.In proceedings of ICTAI 2018. Volos, Greece: 975-982
  6. Chen Q., Du Y, Xu M., Wang C. HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning.In proceedings of ICTAI 2018..Volos, Greece: 350-357
  7. Du Y.. Chen Q., Lu H., Wang C. Online Single Homogeneous Source Transfer Learning Based on AdaBoos.In proceedings of ICTAI 2018. Volos, Greece:344-349
  8. Feng Y., Tang J., Liu M., Wang C., Xie J. Fast Document Cosine Similarity Self-Join on GPUsIn proceedings of ICTAI 2018. Volos, Greece:205-212
  9. Chen G, Peng Y, Wang C and etc. Multi- Label Classification via Label -Toci Pairs. In Proceedings of APWEB\WAIM-18, Macao. Jul.23-25, 2018:32-44
  10. Cheng H, Zhang L, Wu J and Wang C, Optimal Constraint Coolection for Core-Selecting Path Mechanism. In Proceedings of AAMAS 2018,2018:41-49.
  11. Yang J, Yang R and etc, Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity and Aspect Memory. In Proceedings of AAAI 2018. New Oleans, Louisiana. USA.2018:6029-6036
  12. 王崇骏,史忠植,常量,王文剑. 多智能体系统及应用.北京:清华大学出版社, ISBN: 978-7- 302- 48777-7.

2017

  1. Zhan Q, Tan L, Sherry E, Philip Y, Wang C. Community Detection on Anti-vaping Campaign Audience. In Proceedings of BIBM-17. Kansan City, MO. USA.:891-894
  2. Peng Y, Tang C, Chen G, Xie J, Wang C. Multi-Label Learning by Exploiting label Correlations for TCM Diagnosing Parkinson's Disease. In Proceedings of BIBM-17. Kansan City, MO. USA.:590-594
  3. Peng Y, Chen G, Zhai C, Wang C, Xie J. Multi-Label Learning by Exploiting label Correlations with LDA. In Proceedings of ICTAI-17. Boston, MA. USA.:168-174
  4. Xie L, Wang L, Lu H, Li N, Wang C. Topics may Evolve: Using Complaint Date for Analysis. In Proceedings of ICTAI-17. Boston, MA. USA.:1296-1303
  5. 王崇骏. 大数据价值期望探讨. 大数据.  2017,4:91-103【约稿】
  6. Liu L, Zhang Y, Liu M, Wang C, Wang J. A-MapCG: An Adaptive MapReduce Framework for GPUs. In Proceedings of NAS-17. Shen Zhen, China, 2017.:1-8
  7. Qiao Y, Wu J, Zhang L, Wang C. Viral Marketing for Digital Goods in Social Networks[C]. In Proceedings of APWEB\WAIM-17. Beijing, China, 2017.:377-390
  8. Xu M, Cai Y, Wu H, Wang C, Li N. Intensity of Relationship between Words: Using Word Triangles in Topic Discovery for Short Texts. In Proceedings of APWEB\WAIM-17. Beijing, China, 2017.:642-649
  9. Wang N, Wu J, Wang C, Zhang L. Approximation for Strategic Single Point Weighted Steiner Tree Problem[C]. In Proceedings of ICA-17. Beijing, China, 2017.
  10. Wu J, Zhang L, Wang C, Xie J. Mechanism Design for Social Law Synthesis under Incomplete Information[C]. In Proceedings of AAMAS-17. São Paulo, Brazil, 2017: 1757-1759.
  11. Wu J, Zhang L, Wang C, Xie J. Synthesizing Optimal Social Laws for Strategical Agents via Bayesian Mechanism Design[C]. In Proceedings of AAMAS-17. São Paulo, Brazil, 2017: 1214-1222.
  12. Lu H, Xie L, Kang N, Wang C and Xie J. Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery[C]. In Proceedings of AAAI-17. San Francisco, USA, 2017: 1192-1198.
  13. Jiang J, Shi P, An B, Yu J, Wang C. Measuring the social influences of scientist groups based on multiple types of collaboration relations[J]. Information Processing and Management, 2017, 53(1): 1-20.

2016

  1. 王崇骏.大数据思维与应用攻略.北京:机械工业出版社, ISBN: 978-7- 111- 54261- 2.
  2. Li Y, Li H, Wang Q, Wang C and Fan X. Traditional Chinese Medicine Formula Evaluation Using Multi-instance Multi-label Framework[C]. In Proceedings of BIBM-16. Shenzhen, China, 2016: 484-488.
  3. Zhan Q, Zhang J, Yu P, Emery S and Xie J. Inferring Social Influence of Anti-Tobacco Mass Media Campaigns[C]. In Proceedings of BIBM-16. Shenzhen, China, 2016: 805-812.
  4. Liu L, Liu M, Wang C, Wang J. Compile-time Automatic Synchronization Insertion and Redundant Synchronization Elimination for GPU Kernels[C]. In Proceedings of ICPADS-16. Wuhan, China, 2016: 826-834.
  5. Jiang L, Lu H, Xu M and Wang C. Biterm Pseudo Document Topic Model for Short Text[C]. In Proceedings of ICTAI-16. San Jose, USA, 2016: 865-872.
  6. Feng H, Zhang W, Wu H and Wang C. Web Page Segmentation and its Application for Web Information Crawling[C]. In Proceedings of ICTAI-16. San Jose, USA, 2016: 598-605.
  7. Zhang L, Chen H, Wu J, Wang C, Xie J. False-Name-Proof Mechanisms for Path Auctions in Social Networks[C]. In Proceedings of ECAI-16. Hague, Holland, 2016: 1485-1492.
  8. 刘峰,王崇骏,骆斌.一种基于最优策略概率分布的POMDP值迭代算法[J].电子学报, 2016, 44(5): 1078-1084.

2015

  1. Zhang L, Wang C and Xie J. Cost optimal planning with multi valued landmarks[J]. AI Communications, 2015, 28(3): 579-590.
  2. Liu F, Wang C and Luo B. PCFBPI: A point clustering feature based policy iteration algorithm[C]. In Proceedings of ICTAI-15. Vietri sul Mare, Italy, 2015: 119-124.
  3. Wang Q, Li H and Wang C. Using hierarchical clustering algorithm to detect community structure in Traditional Chinese Medicine Formula network[C]. In Proceedings of ICTAI-15. Vietri sul Mare, Italy, 2015: 132-138.
  4. Lu H, Chen F, Xu M, Wang C and Xie J. Never Ignore The Significance Of Different Anomalies: A Cost-sensitive Algorithm Based On Loss Function For Anomaly Detection[C]. In Proceedings of ICTAI-15. Vietri sul Mare, Italy, 2015: 1099-1105.
  5. Zhan Q, Zhang J, Wang S, Yu P and Xie J. Influence Maximization Across Partially Aligned Heterogenous Social Networks[C]. In Proceedings of PAKDD-15. Ho Chi Minh City, Vietnam, 2015: 1099-1105.
  6. Peng Y, Fang M, Wang C, and Xie J. Entropy Chain Multi-Label Classifiers for Traditional Medicine Diagnosing Parkinson’s Disease[C]. In Proceedings of BIBM-15. Washington DC, USA, 2015: 1722-1724.
  7. Liu L, Liu M, Wang C. A low overhead storage format for SPmV on GPU systems[C]. In Proceedings of ICPADS-15. Melbourne, Australia, 2015: 733-741.

2014

  1. 胡云,王崇骏,吴骏,谢俊元,李慧.微博网络上的重叠社群发现与全局表示[J].软件学报, 2014, 25(12): 2824-2836.
  2. Zhang L, Wang C and Xie J. Cost optimal planning with LP-based multi-valued landmark heuristic[C]. In Proceedings of AAMAS-14. Paris, France, 2014: 509-516.
  3. Yang J, Jiang L, Wang C and Xie J. Multi-Label Emotion Classification for Tweets in Weibo: Method and Application[C]. In Proceedings of ICTAI-14. Limassol, Cyprus, 2014: 424-428.
  4. Liu F, Li H and Wang C. nso-HSVI: A not-so-optimistic Heuristic Search Value Iteration Algorithm for POMDPs[C]. In Proceedings of ICTAI-14. Limassol, Cyprus, 2014: 689-693.
  5. Fang M, Xiao Y, Wang C and Xie J. Multi-Label classification: Dealing with Imbalance by Combining Labels[C]. In Proceedings of ICTAI-14. Limassol, Cyprus, 2014: 233-237.
  6. Zhang C, Zhang L, Wang C and Xie J. Text Summarization Based on Sentence Selection with Semantic Representation[C]. In Proceedings of ICTAI-14. Limassol, Cyprus, 2014: 584-590.
  7. Wu J, Wang C and Xie J. Automated Model Revision for Coordinated Open Systems[C]. In Proceedings of ICTAI-14. Limassol, Cyprus, 2014: 984-988.

2013

  1. Liu Y, Pan L, Jia X, Wang C, Xie J. Three-Way Decision Based Overlapping Community Detection[C]. In Proceedings of RSKT-13. Halifax, Canada, 2013: 279-290.
  2. Hu Y, Zhou Z, Xie J, Wang C. An Algorithm for Mining Top K Influential Community Based Evolutionary Outliers in Temporal Dataset[C]. In Proceedings of ICTAI-13. Washington DC, USA, 2013: 524-531.
  3. Zhan Q, Yang H, Wang C, Xie J. CPP-SNS: A Solution to Influence Maximization Problem Under Cost Control[C]. In Proceedings of ICTAI-13. Washington DC, USA, 2013: 849-856.
  4. Pan L, Wang C, Xie J. Spin-Glass Model based Local Community Detection Method in Social Networks[C]. In Proceedings of ICTAI-13. Washington DC, USA, 2013: 108-115.
  5. Zhan Y, Wu J, Wang C, Liu M, Xie J. On the complexity of undominated core and farsighted solution concepts in coalitional games[C]. In Proceedings of AAMAS-13. Saint Paul, USA, 2013: 1177-1178.
  6. Zhang L, Wang C, Wu J, Liu M, Xie J. Planning Multi-Valued Landmarks[C]. In Proceedings of AAAI-13.Bellevue, USA, 2013: 1653-1654.
  7. 胡云,王崇骏,谢俊元,周作建.社群演化的稳健迁移估计及演化离群点检测[J].软件学报, 2013, 24(11): 2710-2720.

2012

  1. Zhan Y, Wu J, Wang C, Liu M and Xie J. On the Complexity and Algorithms of Coalition Structure Generation in Overlapping Coalition Formation Games[C]. In Proceedings of ICTAI-12. Athens, Greece, 2012: 868-873.
  2. Pan L, Dai C, Wang C, Xie J and Liu M. Overlapping Community Detection via leader-based Local Expansion in Social Networks[C]. In Proceedings of ICTAI-12. Athens, Greece, 2012: 397-404.
  3. 王崇骏,吴骏,张雷等.联盟规范系统及其规范能力极限[J].软件学报, 2012, 23(7): 1796-1804.
  4. 潘磊,金杰,王崇骏等.社会网络中基于局部信息的边社区挖掘[J].电子学报, 2012, 40(11): 2255-2263.

2011

  1. Pan L, Wang C, Xie J, Liu M. Detecting Link Communities Based on Local Approach[C]. In Proceedings of ICTAI-11. Boca Raton, USA, 2011: 884-886.
  2. Jin J, Pan L, Wang C, Xie J. A Center-based Community Detection Method In Weighted Networks[C]. In Proceedings of ICTAI-11. Boca Raton, USA, 2011: 513-518.
  3. Wang C, Wu J, Wang Z, Xie J. Strategic Ability Updating in Concurrent Games by Coalitional Commitment[J]. IEEE Transactions on SMC(Part B), 2011, 41(6): 1442-1457.
  4. Wu J, Wang C, Xie J. A Framework for Coalitional Normative Systems[C]. In Proceedings of AAMAS-11. Taipei, 2011: 259-266.
  5. 胡云,谢俊元,王崇骏.基于组合码字的矢量量化编码算法[J].南京大学学报自然科学, 2011, 47(5): 559-565.
  6. 张玉华,华浩明,范欣生,王崇骏,段金廒.基于关联规则方法探讨胸痹心痛方中十八反药对的应用规律[J].中国中药杂志, 2011, 36(24): 3544-3547.

2010

  1. Zhang L, Wu J, Wang C. A Factor-Based Model for Context-Sensitive Skill Rating Systems[C]. In Proceedings of ICTAI-10. Arras, France, 2010: 249-255.
  2. Zhang L, Wu J, Wang C. Multi-relational Topic Model for Social Recommendation[C]. In Proceedings of ICTAI-10. Arras, France, 2010: 349-350.
  3. 韩进,蔡圣闻,王崇骏等.一种基于π^t演算的安全协议建模方法[J].计算机研究与发展, 2010, 47(4): 613-620.
  4. 朱小虎,宋文军,王崇骏等.用于社团发现的Girvan-Newman改进算法[J].计算机科学与探索, 2010, 04(12): 1101-1108.
  5. 宋文军,刘红星,王崇骏等.以图频繁集为基础的核心节点发现[J].计算机科学与探索, 2010, 4(1): 82-88.
  6. 吴涛,王崇骏,谢俊元.基于部分可观测马尔可夫决策过程的网络入侵意图识别研究[J].南京大学学报自然科学, 2010, 46(2): 122-130.
  7. 孙正,宋文军,王崇骏等.用于社团分析的差异性度量方法[J].南京大学学报自然科学, 2010, 46(5): 528-534.
  8. 刘志杰,王崇骏.一个基于复合攻击路径图的报警关联算法[J].南京大学学报自然科学, 2010, 46(1): 56-63.

2009

  1. Wu J, Wang C, Zhang L, et al. Coalitional planning in game-like domains via ATL model checking[C]. In Proceedings of ICTAI-09. Newark, USA, 2009: 645-652.
  2. Zhou Q, Wang C, Xie J. CORE: A Trust Model for Agent Coalition Formation[C]. In Proceedings of ICNC and FSKD-09. Tianjin, China, 2009: 11-17.
  3. Wu J, Wang C, Tu X, Xie J, Pu L. Temporal Reasoning in Urban Growth Simulation[C]. In Proceedings of RSKT-09. Gold Coast, Australia, 2009: 529-537.
  4. Wu J, Wang C, Tu X, Xie J. On the Logic of Cellular Reactive Systems[C]. In Proceedings of IAT-09. Milan, Italy, 2009: 241-248.
  5. 周清华,谢俊元,王崇骏.Agent对抗环境下联盟形成的信任模型[J].计算机科学与探索, 2009, 3(5): 491-497.