Changlin Wan

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 21

Top Topics

Matrix Factorization

Mixture Modeling

Top Venues

Publications

Changlin Wan, Jianzhong Cao, Xiaohui Wei, Jingqiu Huang, Zhiming Chen, Deming Xu, Feng Qiu
IPCS: An improved corner detector with intensity, pattern, curvature, and scale. Vis. Comput. 39 (7) (2023)
Pengtao Dang, Haiqi Zhu, Tingbo Guo, Changlin Wan, Tong Zhao, Paul Salama, Yijie Wang, Sha Cao, Chi Zhang
Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation. KDD (2023)
Changlin Wan, Zhongzhi Shi
A Multi-Layer Regression based Predicable Function Fitting Network. CoRR (2022)
Junyi Zhou, Xiaoyu Lu, Wennan Chang, Changlin Wan, Xiongbin Lu, Chi Zhang, Sha Cao
PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning. PLoS Comput. Biol. 18 (3) (2022)
Changlin Wan, Pengtao Dang, Tong Zhao, Yong Zang, Chi Zhang, Sha Cao
Bias aware probabilistic Boolean matrix factorization. UAI (2022)
Wennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. CoRR (2021)
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys (2021)
Wennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. ICDM (2021)
Yuzhou Chang, Carter Allen, Changlin Wan, Dongjun Chung, Chi Zhang, Zihai Li, Qin Ma
IRIS-FGM: an integrative single-cell RNA-Seq interpretation system for functional gene module analysis. Bioinform. 37 (18) (2021)
Changlin Wan, Muhan Zhang, Wei Hao, Sha Cao, Pan Li, Chi Zhang
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks. CoRR (2021)
Changlin Wan, Dongya Jia, Yue Zhao, Wennan Chang, Sha Cao, Xiao Wang, Chi Zhang
A data denoising approach to optimize functional clustering of single cell RNA-sequencing data. BIBM (2020)
Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang
Geometric All-Way Boolean Tensor Decomposition. CoRR (2020)
Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang
Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation. AAAI (2020)
Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang
Denoising Individual Bias for Fairer Binary Submatrix Detection. CIKM (2020)
Changlin Wan, Wennan Chang, Tong Zhao, Yong Zang, Sha Cao, Chi Zhang
Denoising individual bias for a fairer binary submatrix detection. CoRR (2020)
Wennan Chang, Changlin Wan, Yong Zang, Chi Zhang, Sha Cao
Supervised clustering of high dimensional data using regularized mixture modeling. CoRR (2020)
Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang
Geometric All-way Boolean Tensor Decomposition. NeurIPS (2020)
Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang
MEBF: a fast and efficient Boolean matrix factorization method. CoRR (2019)
Yu Zhang, Changlin Wan, Pengcheng Wang, Wennan Chang, Yan Huo, Jian Chen, Qin Ma, Sha Cao, Chi Zhang
M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data. BMC Bioinform. (24) (2019)
Changlin Wan, Jianing Gao, Huan Zhang, Xiaohua Jiang, Qiguang Zang, Rongjun Ban, Yuanwei Zhang, Qinghua Shi
CPSS 2.0: a computational platform update for the analysis of small RNA sequencing data. Bioinform. 33 (20) (2017)
Jianing Gao, Changlin Wan, Huan Zhang, Ao Li, Qiguang Zang, Rongjun Ban, Asim Ali, Zhenghua Yu, Qinghua Shi, Xiaohua Jiang, Yuanwei Zhang
Anaconda: AN automated pipeline for somatic COpy Number variation Detection and Annotation from tumor exome sequencing data. BMC Bioinform. 18 (1) (2017)
Changlin Wan, Carsten Ullrich, Limin Chen, Rui Huang, Jiewen Luo, Zhongzhi Shi
On Solving QoS-Aware Service Selection Problem with Service Composition. GCC (2008)
Wenjia Niu, Zhongzhi Shi, Changlin Wan, Liang Chang, Hui Peng
A DDL-Based Model for Web Service Composition in Context-Aware Environment. ICWS (2008)
Changlin Wan, Zhongzhi Shi
Solving Medium-Density Subset Sum Problems in Expected Polynomial Time: An Enumeration Approach. FAW (2008)
Changlin Wan
An Improved Enumeration Scheme for Subset Sum Problem CoRR (2007)
Lirong Qiu, Fen Lin, Changlin Wan, Zhongzhi Shi
Semantic Web Services Composition Using AI Planning of Description Logics. APSCC (2006)