徐力

中国科学院计算技术研究所

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  • 徐力
  • 副研究员
简历:
2018年3月至今:中国科学院计算技术研究所,副研究员,硕士生导师,中国科学院计算所“新百星计划”引进人才;网络数据科学与技术重点实验室,金融大数据研究组负责人2017年11月至2018年3月:美国密歇根大学和香港中文大学(深圳),联合博士后2014年9月至2017年10月:美国德州农工大学,博士后2010年1月至2014年12月:香港大学,博士(数学博士学位)2003年9月至2007年7月:北京大学,本科(计算机科学学士学位和数学双学士学位)2003年:黑龙江省牡丹江市高考理科状元
研究方向:
金融大数据、机器学习、信息论与编码论
社会任职:

MIIS2016 会议接待主席,BDCI2018竞赛评审专家,IEEE GLOBECOM、IEEE GlobalSIP、IEEE WCNC、IEEE COMNETSAT、IEEE 5GWF、IEEE AGERS、IEEE ICCC等国际学术会议程序委员会委员,IET Smart Grid期刊编委,IEEE TSP、IEEE TIT、IEEE JSAC、IEEE TCCN、IEEE JBHI、IEEE Access、IEEE CL、FITEE、PRL、NCAA、Defence Tech等国际期刊,IEEE GLOBECOM、IEEE WCNC、IEEE ISIT、IEEE GlobalSIP、IEEE ITW、IEEE ICCC、IEEE 5GWF、ACM BCB、ISAAC、STACS、NetCod等国际会议审稿人,中国信息产业商会人工智能分会专家委员会专家。

获奖及荣誉:
代表论著:
[1] Han Zhang, Bo Ai, Wenjun Xu, Li Xu, and Shuguang Cui, “Multi-Antenna Channel Interpolation via Tucker Decomposed Extreme Learning Machine” IEEE Transactions on Vehicular Technology, vol. 68, no. 7, pp. 7160-7163, 2019.[2] Fabin Shi, Xiao-Qian Sun, Jin-Hua Gao, Li Xu, Hua-Wei Shen, Xue-Qi Cheng, “Anomaly Detection in Bitcoin Platforms via Price Return Analysis” PLoS ONE, vol. 14, no. 6, e0218341, 2019.[3] Kezhong zhang, Li Xu, Zhiyong Feng, and Ping Zhang, “A Novel Automatic Modulation Classification Method based on Dictionary Learning,” China Communications, vol. 16, no. 1, pp. 176-192, 2019.[4] Xiaopeng Lucia Sui, Li Xu, Xiaoning Qian, and Tie Liu, “Convex Clustering with Metric Learning,” Pattern Recognition, vol. 81, pp. 575-584, 2018.[5] Qilian Yu, Li Xu, and Shuguang Cui, “Streaming Algorithms for News and Scientific Literature Recommendation: Submodular Maximization with a d-Knapsack Constraint,” IEEE Access, vol. 6, pp. 53736-53747, 2018.[6] Kezhong Zhang, Easton Li Xu, Han Zhang, Zhiyong Feng, and Shuguang Cui, “Data Driven Automatic Modulation Classification via Dictionary Learning,” IEEE Wireless Communications Letters, vol. 7, no. 4, pp. 586-589, 2018.[7] Easton Li Xu, Xiaoning Qian, Qilian Yu, Han Zhang, and Shuguang Cui, “Feature Selection with Interactions in Logistic Regression Models using Multivariate Synergies for a GWAS Application,” BMC Genomics, vol. 19(S4), art. 170, 2018.[8] Li Xu, Kezhong Zhang, Yueyan Zhang, Han Zhang, and Zhiyong Feng, “A Novel Sparse Extreme Learning Machine based Classifier,” IEEE/CIC International Conference on Communications in China, Beijing, China, pp. 283-287, 2018.[9] Shuai Ma, Easton Li Xu, Amir Salimi, and Shuguang Cui, “A Novel Pilot Assignment Scheme in Massive MIMO Networks,” IEEE Wireless Communications Letters, vol. 7, no. 2, pp. 262-265, 2018.[10] Kezhong Zhang, Li Xu, Zhiqing Wei, Sai Huang, and Zhiyong Feng, “A Novel Low Complexity Training Strategy for Extreme Learning Machine Used in Embedded System,” Journal of Beijing University of Posts and Telecommunications, vol. 41, no. 2, pp. 9-14, 2018.[11] Kezhong Zhang, Easton Li Xu, Zhiyong Feng, and Ping Zhang, “A Dictionary Learning based Automatic Modulation Classification Method,” IEEE Access, vol. 6, pp. 5607-5617, 2018.[12] Easton Li Xu, Xiaoning Qian, Tie Liu, and Shuguang Cui, “Detection of Cooperative Interactions in Logistic Regression Models,” IEEE Transactions on Signal Processing, vol. 65, no. 7, pp. 1765-1780, 2017.[13] Easton Li Xu, Weiping Shang, and Guangyue Han, “Network Encoding Complexity: Exact Values, Bounds, and Inequalities,” Advances in Mathematics of Communications, vol. 11, no. 3, pp. 567-594, 2017.[14] Edwin Collado, Easton Li Xu, Hang Li, and Shuguang Cui, “Profit Maximization with Customer Satisfaction Control for Electric Vehicle Charging in Smart Grids,” AIMS Energy, vol. 5, no. 3, pp. 529-556, 2017.[15] Chengyu Wu, Easton Li Xu, and Guangyue Han, “Renyi Entropy Rate of Hidden Markov Processes,” 2017 IEEE International Symposium on Information Theory, Aachen, Germany, pp. 2970-2974, 2017.[16] Kezhong Zhang, Easton Li Xu, and Zhiyong Feng, “PFS: A Novel Modulation Classification Scheme for Mixed Signals,” IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Montreal, QC, Canada, pp. 1-5, 2017.[17] Qilian Yu, Easton Li Xu, and Shuguang Cui, “Submodular Maximization with Multi-Knapsack Constraints and its Applications in Scientific Literature Recommendation”, IEEE Global Conference on Signal and Information Processing, Washington D. C., USA, pp. 1295-1299, 2016.[18] Easton Li Xu, Xiaoning Qian, Tie Liu, and Shuguang Cui, “Pairwise Interaction Analysis of Logistic Regression Models,” IEEE Global Conference on Signal and Information Processing, Washington D. C., USA, pp. 187-191, 2016.[19] Easton Li Xu and Guangyue Han, “The Minimum Number of Hubs in Networks,” Journal of Combinatorial Optimization, vol. 30, no. 4, pp. 1196-1218, 2015.[20] Easton Li Xu, Weiping Shang, and Guangyue Han, “A Graph Theoretic Approach to Network Encoding Complexity,” International Symposium on Information Theory and its Applications, Honolulu, HI, USA, pp. 396-400, 2012.[21] Li Xu and Guangyue Han, “Bounds and Exact Values in Network Encoding Complexity with Two Sinks,” Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA, pp. 1462-1469, 2011.
承担科研项目情况:
国家自然科学青年基金: 面向复杂数据的互联网金融征信建模技术研究(项目批准号:61902380), 2020-2022年,主持。
学科类别:
计算机软件与理论
所属部门:
网络数据科学与技术重点实验室
专家类别:
副高
杰青入选时间:
百人入选时间:
其他备注:
硕导计算机软件与理论
其他备注2:
其他备注3: