Shenghua Liu

Associate Professor

Institute of Computing Technology (ICT)

Chinese Academy of Sciences (CAS)

  • Email: liushenghua at ict.ac.cn
       shliu at cs.cmu.edu
  • Address: NO. 6, South Road, Kexueyuan, Zhongguancun, Beijing, P.R.China, 100190
  • Biography
  • Publication
  • Softwares
  • Students

He is now an Associate Professor at Institute of Computing Technology, Chinese Academy of Sciences.

He spent his one-year sabbatical at Computer Science Department, Carnegie Mellon University (CMU), as a research scholar. He was hosted and supervised by Professor Christos Faloutsos.

He received his Ph.D. degree from Computer Science & Technology Department, Tsinghua University in 2010, and visited Electronic Engineering Department, University of California, Los Angeles (UCLA) for more than a year as a Ph.D. student. He was hosted and supervised by Professor Lei He. He is in consequence listed as one of the Alumni in Academia by UCLA.

His current research interests include big graph mining, time series mining, and designing intelligent & scalable algorithms for massive data. Graphs and series are fundamental representations of many key applications in a wide range of online behaviors (socializing, shoppings, media, etc), networks, circuits, stock tradings, and medical data. The related publications are on TKDE, AAAI, IJCAI, CIKM, PKDD, WWW, SDM, TCAD, TODAES, DAC, etc.

EVENTS

Projects
  • National Science Foundation of China (NSFC, 61772498), Shenghua Liu, Xiaoqian Sun, Xiaona Liu, et al, 2018-2021.
  • Beijing Natural Science Foundation (Beijing NSF, 4172059), Shenghua Liu, Wentao Ouyang, et al., 2017-2019.
  • National Science Foundation of China (NSFC, 61572467), Shenghua Liu, Pan Du, Dayong Wu, et al, 2016.
  • National Science Foundation of China (NSFC, 61202213), Shenghua Liu, Kai Feng, Yanfeng Wang, et al, 2013-2015.
  • National Science Foundation of China (NSFC, 61472400), Huawei Shen, Haiqiang Chen, Shenghua Liu, et al, 2015-.
  • Participation of tasks from National Grand Fundsamental Research 973 Program of China, "social network analysis and information propagation (No.2013CB329602, 2013CB329606, 2015-2017), and Fundamental Theories and Applications of Web Big Data (No.2014CB340401, 2014.01- ).
Honors and Awards
  • Outstanding research staff, Institute of Computing Technology, Chinese Academy of Sciences, 2012
  • Outstanding dissertation, Tsinghua University, 2010.
  • Microsoft Research Asia (MSRA) fellowship, 2009.
  • The honor of Academic Rising Star, Dept. of CS & T, Tsinghua Univisity 2009
Academic Services
  • Reviewer of IEEE Transactions on Knowledge and Data Engineering(TKDE), ACM Transactions on Knowledge Discovery from Data(TKDD), ACM Transactions on Intelligent Systems and Technology (ACM TIST), Chinese Journal of Computers(JSC), Chinese Journal of Computers, etc.
  • PC member of The AAAI Conference on Artificial Intelligence (2016- ).
  • Committee member of Social Media Processing of Chinese Information Processing, (2013- )
Representative publications

    Data Mining: Big Graphs, Time sieries, and Texts

  • Shenghua Liu, Bryan Hooi, and Christos Faloutsos, "HoloScope: Topology-and-Spike Aware Fraud Detection," In Proc. of ACM International Conference on Information and Knowledge Management (CIKM), Singapore, 2017, pp.1539-1548. [paper][slides][code]
  • Shenghua Liu, Houdong Zheng, Xiangwen Liao, Shenghua Wei, and Xueqi Cheng: Learning Concise Representations of Users' Influences through Online Behaviors, in Proc. the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Austrila, Aug. 2017, pp.2351-2357.
  • Shenghua Liu, Xueqi Cheng, Fuxin Li, and 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.
  • 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.
  • 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.
  • Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng, NeuCast: Seasonal Neural Forecast of Power Grid Time Series, In Proc. of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI-18), Stockholm, Sweden, July 13-19, 2018. [code]
  • Bryan Hooi, Shenghua Liu, Asim Smailagic, and Christos Faloutsos, BEATLEX: Summarizing and Forecasting Time Series with Patterns, The European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Skopje, Macedonia, 2017. [code]
  • Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, and Yaohang Li: Single-pass PCA of large high-dimensional data, in Proc. the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Austrila, Aug. 2017, pp.3350-3356. [code][paper]
  • 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.
  • Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao and Xueqi Cheng. Cascade dynamics modeling with attention-based recurrent neural network, in Proc. the 26th International Joint Conference on Artificial Intelligence (IJCAI-17). Melbourne, Australia, 2017, pp.2985-2991.
  • 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.
  • Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin and Xueqi Cheng, Predict Anchor Links across Social Networks via an Embedding Approach, In Proc. of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), pp. 1823-1829, July 9-15, New York City, New York, USA.
  • 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.

    Geometric and topological graph-based algorithms in application of large-scale circuit design

  • 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 (TCAD), 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 (TODAES), 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)
2018
  • [C] Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng, NeuCast: Seasonal Neural Forecast of Power Grid Time Series, In Proc. of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI-18), Stockholm, Sweden, July 13-19, 2018. [code]
2017
  • [C] Shenghua Liu, Bryan Hooi, and Christos Faloutsos, "HoloScope: Topology-and-Spike Aware Fraud Detection," In Proc. of ACM International Conference on Information and Knowledge Management (CIKM), Singapore, 2017, pp.1539-1548. [paper][slides][code]
  • [C] Bryan Hooi, Shenghua Liu, Asim Smailagic, and Christos Faloutsos, “BEATLEX: Summarizing and Forecasting Time Series with Patterns,” The European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Skopje, Macedonia, 2017. [code]
  • [C] Pedro Costa, Aurelio Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, and Adrian Galdran, “EyeQual: Accurate, Explainable, Retinal Image Quality Assessment”, in proc. of 16th IEEE International Conference On Machine Learning and Applications (ICMLA), Cancun, Mexico, 2017.
  • [C] Shenghua Liu, Bryan Hooi, and Christos Faloutsos, "Fraud Detection using Graph Topology and Temporal Spikes," the 13th international workshop on MLG, KDD, Halifax, Nova Scotia, Canada, 2017.
  • [C] Shenghua Liu, Houdong Zheng, Xiangwen Liao, Shenghua Wei, and Xueqi Cheng: Learning Concise Representations of Users' Influences through Online Behaviors, in Proc. the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Austrila, Aug. 2017, pp.2351-2357.
  • [C] Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao and Xueqi Cheng. Cascade dynamics modeling with attention-based recurrent neural network, in Proc. the 26th International Joint Conference on Artificial Intelligence (IJCAI-17). Melbourne, Australia, 2017, pp.2985-2991.
  • [C] Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, and Yaohang Li: Single-pass PCA of large high-dimensional data, in Proc. the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Austrila, Aug. 2017, pp.3350-3356. [code][paper]
  • [C] Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao and Xueqi Cheng: Marked Temporal Dynamics Modeling based on Recurrent Neural Network, in proc. of PAKDD, Korea, 2017, pp.786-798.
  • [C] Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu. Personalized Ranking Recommendation via Integrating Multiple Feedbacks. in proc. of PAKDD, Korea, 2017, pp.131-143.
2016
  • [C] Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin and Xueqi Cheng, Predict Anchor Links across Social Networks via an Embedding Approach, In Proc. of the 25th International Joint Conference on Artificial Intelligence IJCAI-16, pp. 1823-1829, July 9-15, New York City, New York, USA.
  • [O] Shenghua Liu and Xueqi Cheng, Social Media Sentiment Analysis: opinions, users, and behaviors, in Communication of Chinese Association for Artificial Intelligence (CAAI), Special Issue on Social Media Analysis, 2016:12-17.
  • [C] Jinahua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng, Modeling and predicting retweeting dynamics via a mixture process, In Proc. of the 25th international conference on World Wide Web (WWW) (Companion Volume), 2016, accepted. [link]
2015
  • [J] 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.
  • [C] 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.
2014
  • [C] 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.
  • [C] 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.
  • [C] 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.
  • [C] 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.
  • [J] Yonglei Xiao, Shenghua Liu, Yue Liu, Xue-qi Cheng, Wenjing Zhao, Ren Yan,Yuping Wang, “Semantic Concept Linking and Extension for Social Media Short Texts,” Journal of Chinese Information Processing, Vol. 28, No. 4, July 15th 2014, pp 21-28. (in Chinese)
2013
  • [C] 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.
  • [C] 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.
  • [C] Shenghua Liu, Yatao Zhu, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng, and Yue Liu, “A Blending Method for Automated Social Tagging“ In Proc. of Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on. IEEE, 2013, 1: 115-120.
2012
  • [C] 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.
  • [C] Ya-Tao Zhu, Shenghua Liu, Xueqi Cheng, Yue Liu, Yuanzhuo Wang, Jin-Gang Liu: Using WordNet-Based Neighborhood for Improving Social Tag Recommendation. Intelligent Computing Theories and Applications. Springer Berlin Heidelberg, 2012: 221-228.
  • [C] Peng Cao, Shenghua Liu, Jinhua Gao, Huawei Shen, Jingyuan Li, Yue Liu, Xueqi Cheng: Finding Topic-Related Tweets Using Conversational Thread. Intelligent Information Processing VI. Springer Berlin Heidelberg, 2012. 258-267.
  • [C] Bolong Zhu, Jinghua Gao, Xiao Han, Cunhui Shi, Shenghua Liu, Yue Liu, Xueqi Cheng: ICTNET at Microblog Track TREC 2012. The Twenty-First Text REtrieval Conference (TREC 2012) Proceedings. 2012.
  • [J] Yi Mo, Shenghua Liu, Yue Liu, Xueqi Cheng, "An Entropy-Based Rule Mining algorithm for Filtering Tweets on Topics," Journal of Chinese Information Processing, Vol. 26, No. 5, May 2012, pp.1-6. (in Chinese)
  • [C] Yonglei Xiao, Shenghua Liu, Yue Liu, Xue-qi Cheng, Wenjing Zhao, Ren Yan,Yuping Wang, "Adding Semantic Concepts to Tweets Based on Wikipedia," In Proc. of China Conference on Information Retrieval (CCIR), 2012. (in Chinese)
2011
  • [C] Peng Cao, Jinhua Gao, Yubao Yu, Shenghua Liu, Yue Liu, Xueqi Cheng: ICTNET at Microblog Track TREC 2011. The Twentieth Text REtrieval Conference (TREC 2011) Proceedings. 2011.
  • [C] Yi Mo, Shenghua Liu, Yue Liu, Xueqi Cheng, "Push Tweets on Topics: A Rule-Entropy-Based Classifier," In Proc. of China Conference on Information Retrieval (CCIR), 2011. (in Chinese)
until 2010
  • [J] 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.
  • [C] 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)
  • [J] 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.
  • [C] 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.
  • [C] 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.
  • [J] Shenghua Liu, Xianlong Hong, Tong Jing, Jingyu Xu, "FREe: A Fast Routability Estimator," In Proc. of IEEE International Conference on Communications, Circuits and Systems, ICCCAS 2006: 2454-2458.(in Chinese)
  • [C] Fubing Mao, Yuchun Ma, Ning Xu, Shenghua Liu, Yu Wang, Xianlong Hong,"Congestion-driven floorplanning based on two-stage optimization," In Proc. of IEEE 8th International Conference on ASIC, ASICON 2009: 1298- 1301.
[Patents]
  • DYNAMIC PUSH FOR TOPOLOGICAL ROUTING OF SEMICONDUCTOR PACKAGES, filing date: June 6, 2008, patent number: 8006216, issue date: Aug. 23, 2011, Guoqiang Chen, Kaushik Sheth, Egino Sarto, and Shenghua Liu.(US patent, issued)
  • A FAST ROUTABILITY ESTIMATING METHOD IN VLSI, filing date 6/15/2006 (ZL 200610012271.4), issued date 7/23/2008 (CN 100405379C), by Xianlong Hong, Tong Jing, Shenghua Liu, and Jingyu Xu. (Chinese patent, issued)
  • AN AUTOMATED SOCIAL TAGGING METHOD AND SOCIAL TAG GENERATOR, filing date: 9/7/2011, patent number 201110263798.5, Shenghua Liu, Xueqi Cheng, Jiafeng Guo, Yue Liu, Huaming Liao, and Yatao Zhu.(Chinese patent, filed)
  • AN OPEN-KNOWLEDGE-BASED SEMANTIC CONCEPT LINKING AND EXTENSION METHOD FOR SHORT TEXT, filing date: 3/15/2013, patent number 201310081984.6, issue date: 4/1/2015, issue number: CN 103150382B, Xueqi Cheng, Shenghua Liu, Yonglei Xiao, Yuanzhuo Wang, and Yue Liu. (Chinese patent, issued)
  • AN EVENT EVOLVEMENT ANALYSING METHOD FOR SHORT TEXT, filing date: 3/15/2013, patent number: ZL 201310082990.3, Xueqi Cheng, Shenghua Liu, Fuxin Li, Yuanzhuo Wang, and Yue Liu. (Chinese patent, issued)
  • A VISUALIZING METHOD FOR DYNAMIC OPINIONS IN SOCIAL MEDIA, file date: 4/18/2013, patent number: ZL 201310134433.1, Xueqi Cheng, Shenghua Liu, Yatao Zhu, Yuanzhuo Wang, Yue Liu, and Wenjun Zhu. (Chinese patent, issued)
  • A REALTIME EVENT FILTERING METHOD AND SYSTEM FOR STREAMING WEB DATA, filing date: 4/19/2013, patent number: ZL 201310136896.1, Xueqi Cheng, Shenghua Liu, Wenyi Qiu, Yuanzhuo Wang, Yue Liu, Yi Mo, and Zhankun Huang. (Chinese patent, issued)
  • HoloScope:Topology-and-Spike Aware Fraud Detection in big graph [download]
  • Heatmap for point list [download]
  • NeuCast for time series forecasting in power grid [download]
Students under supervision
  • Jiabao Zhang (undergraduate, adviser, to be involved in master program in 2018)
  • Bin Zhou (Master student, adviser, research on medical data mining, 2017 -)
  • Wenjie Feng (Ph.D. student co-adviser, research on big graph mining, 2016 - )
  • Caizheng Liu (Ph.D. student, co-advisor, research on big sparse tensor, 2017 -)
Alumni
  • Yang Liu (Visiting Master student, 2016-2017)
  • Qi Cao (Master, co-advisor, now Ph.D. at ICT)
  • Yongqing Wang (Ph.D. co-advisor, 2015-2017, now working at ICT)
  • Tong Man (Ph.D. co-advisor, now working at Amozon)
  • Yonglei Xiao (Master, now working at Sohu)
  • Houdong Zheng (Visiting Master, Fall 2015 - Fall 2016)
  • Yatao Zhu (Master, now ph.D.)
  • Yi Mo (Master, now working at Tencent)
  • Zhankun Huang (Master, now working at Netease)
  • Peng Cao (Ph.D. co-advisor, now working overseas)
  • Fuxin Li (Master, now working at MI Technology)
  • Wenyi Qiu (visiting undergraduate from CUG, now working at Youku)
  • Bin Wang (visiting Master from WHUT)
  • Wenjun Zhu (visiting Master from WHUT)
  • Xiaoli Wang (visiting Master from Xidian Univ.)
  • Wenjing Zhao (visiting Master from Xidian Univ.)