Semantic Web Services Composition Using AI Planning of Description Logics. - Lirong Qiu; Fen Lin; Changlin Wan; Zhongzhi Shi (APSCC, 2006)

An Improved Enumeration Scheme for Subset Sum Problem - Changlin Wan (CoRR, 2007)

Solving Medium-Density Subset Sum Problems in Expected Polynomial Time: An Enumeration Approach. - Changlin Wan; Zhongzhi Shi (FAW, 2008)

On Solving QoS-Aware Service Selection Problem with Service Composition. - Changlin Wan; Carsten Ullrich; Limin Chen; Rui Huang; Jiewen Luo; Zhongzhi Shi (GCC, 2008)

A DDL-Based Model for Web Service Composition in Context-Aware Environment. - Wenjia Niu; Zhongzhi Shi; Changlin Wan; Liang Chang 003; Hui Peng (ICWS, 2008)

CPSS 2.0: a computational platform update for the analysis of small RNA sequencing data. - Changlin Wan; Jianing Gao; Huan Zhang; Xiaohua Jiang; Qiguang Zang; Rongjun Ban; Yuanwei Zhang; Qinghua Shi (Bioinform., 2017)

Anaconda: AN automated pipeline for somatic COpy Number variation Detection and Annotation from tumor exome sequencing data. - Jianing Gao; Changlin Wan; Huan Zhang; Ao Li 001; Qiguang Zang; Rongjun Ban; Asim Ali; Zhenghua Yu; Qinghua Shi; Xiaohua Jiang; Yuanwei Zhang (BMC Bioinform., 2017)

M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data. - Yu Zhang; Changlin Wan; Pengcheng Wang; Wennan Chang; Yan Huo; Jian Chen; Qin Ma 003; Sha Cao; Chi Zhang 021 (BMC Bioinform., 2019)

MEBF: a fast and efficient Boolean matrix factorization method. - Changlin Wan; Wennan Chang; Tong Zhao 002; Mengya Li; Sha Cao; Chi Zhang 021 (CoRR, 2019)

Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation. - Changlin Wan; Wennan Chang; Tong Zhao 002; Mengya Li; Sha Cao; Chi Zhang 021 (AAAI, 2020)

A data denoising approach to optimize functional clustering of single cell RNA-sequencing data. - Changlin Wan; Dongya Jia; Yue Zhao 016; Wennan Chang; Sha Cao; Xiao Wang 012; Chi Zhang 021 (BIBM, 2020)

Denoising Individual Bias for Fairer Binary Submatrix Detection. - Changlin Wan; Wennan Chang; Tong Zhao 002; Sha Cao; Chi Zhang 021 (CIKM, 2020)

Geometric All-way Boolean Tensor Decomposition. - Changlin Wan; Wennan Chang; Tong Zhao 002; Sha Cao; Chi Zhang 021 (NeurIPS, 2020)

Supervised clustering of high dimensional data using regularized mixture modeling. - Wennan Chang; Changlin Wan; Yong Zang; Chi Zhang 021; Sha Cao (CoRR, 2020)

Denoising individual bias for a fairer binary submatrix detection. - Changlin Wan; Wennan Chang; Tong Zhao 002; Yong Zang; Sha Cao; Chi Zhang 021 (CoRR, 2020)

Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. - Wennan Chang; Pengdao Dang; Changlin Wan; Xiaoyu Lu; Yue Fang; Tong Zhao 002; Yong Zang; Bo Li; Chi Zhang 021; Sha Cao (ICDM, 2021)

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. - Yue Zhao 016; Xiyang Hu; Cheng Cheng 001; Cong Wang; Changlin Wan; Wen Wang; Jianing Yang; Haoping Bai; Zheng Li; Cao Xiao; Yunlong Wang 001; Zhi Qiao 007; et al. (MLSys, 2021)

IRIS-FGM: an integrative single-cell RNA-Seq interpretation system for functional gene module analysis. - Yuzhou Chang; Carter Allen; Changlin Wan; Dongjun Chung; Chi Zhang 021; Zihai Li; Qin Ma 003 (Bioinform., 2021)

Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks. - Changlin Wan; Muhan Zhang; Wei Hao; Sha Cao; Pan Li 005; Chi Zhang 021 (CoRR, 2021)

Bias aware probabilistic Boolean matrix factorization. - Changlin Wan; Pengtao Dang; Tong Zhao 002; Yong Zang; Chi Zhang 021; Sha Cao (UAI, 2022)

A Multi-Layer Regression based Predicable Function Fitting Network. - Changlin Wan; Zhongzhi Shi (CoRR, 2022)

PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning. - Junyi Zhou; Xiaoyu Lu; Wennan Chang; Changlin Wan; Xiongbin Lu; Chi Zhang 021; Sha Cao (PLoS Comput. Biol., 2022)

Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation. - Pengtao Dang; Haiqi Zhu; Tingbo Guo; Changlin Wan; Tong Zhao 002; Paul Salama; Yijie Wang; Sha Cao; Chi Zhang 021 (KDD, 2023)

IPCS: An improved corner detector with intensity, pattern, curvature, and scale. - Changlin Wan; Jianzhong Cao; Xiaohui Wei; Jingqiu Huang; Zhiming Chen; Deming Xu; Feng Qiu (Vis. Comput., 2023)

Ambiguities in neural-network-based hyperedge prediction. - Changlin Wan; Muhan Zhang; Pengtao Dang; Wei Hao; Sha Cao; Pan Li 005; Chi Zhang 021 (J. Appl. Comput. Topol., 2024)