“科研进展”的版本间的差异

来自南京大学IIP
跳转至: 导航搜索
   更改可见性
   更改可见性
第1行: 第1行:
 +
  
 
= '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' =
 
= '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' =
第6行: 第7行:
 
'''<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">2017</span></span></p>  
 
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2017</span></span></p>  
 +
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">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. [Acceptted].</span></span></span>
 
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">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. [Acceptted].</span></span></span>  
 
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">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. [Acceptted].</span></span></span>  
 
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">Peng Y, Tang C, G 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. [Acceptted].</span></span></span>  
 
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">Peng Y, Tang C, G 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. [Acceptted].</span></span></span>  
第18行: 第20行:
 
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">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.</span></span></span>  
 
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">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.</span></span></span>  
 
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">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.</span></span></span>  
 
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">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.</span></span></span>  
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">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'', 2016, 53(1): 1-20.</span></span></span>  
+
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">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.</span></span></span>  
 
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">2016</span></span></span></p>  
 
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">2016</span></span></span></p>  
 
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">王崇骏</span><span style="color:black">.大数据思维与应用攻略</span><span style="color:black">.北京:</span>''<span style="color:black">机械工业出版社</span>''<span style="color:black">, ISBN: 978-7- 111- 54261- 2.</span></span></span>  
 
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">王崇骏</span><span style="color:black">.大数据思维与应用攻略</span><span style="color:black">.北京:</span>''<span style="color:black">机械工业出版社</span>''<span style="color:black">, ISBN: 978-7- 111- 54261- 2.</span></span></span>  

2017年11月9日 (四) 00:57的版本


研究成果


Selected Paper

2017

  1. 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. [Acceptted].
  2. 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. [Acceptted].
  3. Peng Y, Tang C, G 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. [Acceptted].
  4. 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. [Acceptted].
  5. 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. [Acceptted].
  6. 王崇骏. 大数据价值期望探讨. 大数据.  2017,4:91-103【约稿】
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.