Conference Papers

2022 (5 篇)
[5] Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai. Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification. KDD 2022: 2408-2417
[4] Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang. Multi-scale variational graph autoencoder for link prediction. In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining(WSDM '22), online,2022, 334–342. PDF
[3] Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li. Controlling underestimation bias in reinforcement learning via quasi-median operation, In Proc. of the 36th AAAI Conf. on Artificial Intelligence (AAAI'22), online, Feb. 22-Mar. 1, 2022. PDF
[2] Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang. Efficient causal structure learning from multiple interventional datasets with unknown targets, In Proc. of the 36th AAAI Conf. on Artificial Intelligence (AAAI'22), online, Feb. 22-Mar. 1, 2022. PDF
[1] Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang. Instance selection: A bayesian decision theory perspective, In Proc. of the 36th AAAI Conf. on Artificial Intelligence (AAAI'22),online, Feb. 22-Mar. 1, 2022. PDF
2020 (3 篇)
[3] Liang Bai,Jiye Liang,Sparse subspace clustering with entropy-norm,Proceedings of the 37th International Conference on Machine Learning(ICML2020), Vienna, Austria,2020-07-12 - 2020-07-17 PDF
[2] Liang Bai, Jiye Liang,A three-level optimization model for nonlinearly separable clustering, In Proc. of the 34th AAAI Conf. on Artificial Intelligence (AAAI'20),New York, NY, USA, Feb. 7-Feb. 12, 2020 PDF
[1] Jing Liu,Fuyuan Cao,Xiao-Zhi Gao,Liqin Yu,Jiye Liang,A cluster-weighted kernel K-Means method for multi-view clustering,In Proc. of the 34th AAAI Conf. on Artificial Intelligence (AAAI'20),New York, NY, USA, Feb. 7-Feb. 12, 2020 PDF
2017 (1 篇)
[1] Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang.Local bayes risk minimization based stopping strategy for hierarchical classification,2017 IEEE International Conference on Data Mining(ICDM), 2017, 515-524. PDF
2015 (1 篇)
[1] Jiye Liang,Decision-oriented rough set methods, 15th International Conference, RSFDGrC, 2015, 3-12. PDF
2012 (3 篇)
[3] Jiye Liang. Feature selection for large-scale data sets in GrC. GrC, 2012: 2-7. PDF
[2] Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang. Variable precision multi-granulation rough set. GrC,2012: 639-643. PDF
[1] Baoli Wang, Jiye Liang, Yuhua Qian. Information granularity and granular structure in decision making, RSKT, 2012: 440-449. PDF
2011 (4 篇)
[4] Jiye Liang. Uncertainty and feature selection in rough set theory. RSKT 2011: 8-15. PDF
[3] Yuhua Qian, Jiye Liang. How to organize data with measurement errors? SMC 2011: 3096-3101. PDF
[2] Yuhua Qian, Chao Li, Jiye Liang. An efficient fuzzy-rough attribute reduction approach. RSKT 2011: 63-70. PDF
[1] Junhong Wang, Jiye Liang, Yuhua Qian. Closed-label concept lattice based rule extraction approach. ICIC (3) 2011: 690-698. PDF
2010 (2 篇)
[2] Junhong Wang, Jiye Liang, Yuhua Qian. A heuristic method to attribute reduction for concept lattice. ICMLC 2010: 483-487. PDF
[1] Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei. On partial order relations in granular computing. GrC 2010: 102-106. PDF
2009 (3 篇)
[3] Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang. An attribute reduction approach and its accelerated version for hybrid data. IEEE ICCI 2009: 167-173. PDF
[2] Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang. A time-reduction strategy to feature selection in rough set theory. RSKT 2009: 111-119. PDF
[1] Xiaomei Yang, Jianchao Zeng, Jiye Liang. Apply inversion order number genetic algorithm to the job shop scheduling problem. WGEC 2009: 196-200. PDF
2008 (3 篇)
[3] Yuhua Qian, Jiye Liang, Wei Wei. Granulation operators on a knowledge base. GrC 2008: 538-543. PDF
[2] Wei Wei, Jiye Liang, Yuhua Qian. Change mechanism of a decision table's decision performance caused by attribute reductions. GrC 2008: 638-643. PDF
[1] Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang. Consistency and fuzziness in ordered decision tables. RSKT 2008: 63-71. PDF
2007 (2 篇)
[2] Yuhua Qian, Jiye Liang, Chuangyin Dang. MGRS in incomplete information systems. GrC 2007: 163-168. PDF
[1] Yuhua Qian, Jiye Liang. Evaluation method for decision rule sets. RSFDGrC 2007: 272-279. PDF
2006 (2 篇)
[2] Yuhua Qian, Jiye Liang. Combination entropy and combination granulation in incomplete information system. RSKT 2006: 184-190. PDF
[1] Jiye Liang, Jifang Pang. A measure method for indiscernibility in imperfect information system. JCIS 2006. PDF
2005 (1 篇)
[1] Jiye Liang, Yuhua Qian, Chengyuan Chu, Deyu Li, Junhong Wang. Rough set approximation based on dynamic granulation. RSFDGrC (1) 2005: 701-708. PDF
2003 (1 篇)
[1] K. S. Chin, Jiye Liang, Chuangyin Dang. Rough set data analysis algorithms for incomplete information systems. RSFDGrC 2003: 264-268. PDF