个人简介
2006年9月-2007年12月，美国加州大学洛杉矶分校(UCLA)，访问，研究助理.
2005年8月-2010年7月，清华大学，硕士、博士学位.
2001年8月-2005年6月，西安电子科技大学，学士学位.
最新更新参见国科大教师主页：http://210.76.211.71/~sliu
近期论文
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Shenghua Liu, Xueqi Cheng, Fuxin Li, Fangtao Li, “TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets,” IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, No. 6, June 2015, pp. 1696-1709.
Yongqing Wang, Huawei Shen,Shenghua Liu and Xueqi Cheng. Learning user-specific latent influence and susceptibility from information cascades. The 29th AAAI Conference on Artificial Intelligence (AAAI-15). Austin, USA, 2015:477-483.
Shenghua Liu, Xueqi Cheng, Fangtao Li, “Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure,” In Proc. of Twenty-Eighth Conference on Artificial Intelligence (AAAI-14), 2014: 1235-1241.
Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng and Huawei Shen, “Adaptive Co-Training SVM for Sentiment Classification on Tweets,” In Proc. of ACM International Conference on Information and Knowledge Management (CIKM), 2013: 2079-2088.
Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang, “SUIT: A Supervised User-Item based Topic model for Sentiment Analysis,” In Proc. of Twenty-Eighth Conference on Artificial Intelligence (AAAI-14), 2014:1636-1642.
Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng, “Learning user-specific latent influence and susceptibility from information cascades,” In Proc. of Twenty-Nine Conference on Artificial Intelligence (AAAI-15), 2015.
Shenghua Liu, Wenjun Zhu, Ning Xu, Fangtao Li, Xueqi Cheng, Yue Liu and Yuanzhuo Wang, “Co-training and Visualizing Sentiment Evolvement for Tweet Events,” In Proc. of the 22nd international conference on World Wide Web (WWW) (Companion Volume), 2013: 105-106.
Zhankun Huang, Shenghua Liu, Xueqi Cheng, Pan Du, “Ranking Tweets with Local and Global Consistency Using Rich Features,” In Proc. of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2014: 298-309.
Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng, “Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix”, In Proc. of the SIAM International Conference on Data Mining (SDM), 2013: 749-757.
Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng, Yanfeng Wang: Clustering short text using Ncut-weighted non-negative matrix factorization. In Proc. of the 21st ACM international conference on Information and knowledge management. ACM (CIKM) Short, 2012: 2259-2262.
Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Tianpei Zhang, Robi Dutta, Xian-Long Hong, “Substrate Topological Routing for High Density Packages,” IEEE trans. on Computer Aided Design, Vol.28, No.2, 2009, pp207-216.
Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Robi Dutta, Xian-Long Hong, “Effective Congestion Reduction for IC Package Substrate Routing,” ACM Trans. on Design Automation of Electronic System, Vol. 15, Issue 3, 2010.
Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Tianpei Zhang, Robi Dutta, Xian-Long Hong, “Topological Routing to Maximize Routability for Package Substrate,” In Proc. of 45th ACM/EDAC/IEEE Design Automation Conference (DAC), Anaheim, June 2008, pp.566-569.
Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Robi Dutta, Xian-Long Hong, “Diffusion-Driven Congestion Reduction for Substrate Topological Routing”, In Proc. of International Symposium on Physical Design (ISPD SIGDA) 2009, Mar. 2009, pp175-180.
Shenghua Liu, Yuchun Ma, Xian-Long Hong, Yu Wang, “Simultaneous Slack Budgeting and Retiming for Synchronous Circuits Optimization”, In Proc. of 15th Asia and South Pacific Design Automation Conference (ASP-DAC), 2010, pp. 49-54. (Best paper candidate)
[US patent] "DYNAMIC PUSH FOR TOPOLOGICAL ROUTING OF SEMICONDUCTOR PACKAGES", Guoqiang Chen, Kaushik Sheth, Egino Sarto, and Shenghua Liu, Filing Date: June 6, 2008, Patent number 8006216, Issue date Aug. 23, 2011.
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