Changlin Wan

29 papers A* 4A 3C 1Misc 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Ambiguities in neural-network-based hyperedge prediction.
J. Appl. Comput. Topol.
Changlin Wan, Muhan Zhang, Pengtao Dang, Wei Hao, Sha Cao, Pan Li, Chi Zhang
2023 A* conf
Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation.
KDD
Pengtao Dang, Haiqi Zhu, Tingbo Guo, Changlin Wan, Tong Zhao, Paul Salama, Yijie Wang, Sha Cao, Chi Zhang
2023 J jnl
IPCS: An improved corner detector with intensity, pattern, curvature, and scale.
Vis. Comput.
Changlin Wan, Jianzhong Cao, Xiaohui Wei, Jingqiu Huang, Zhiming Chen, Deming Xu, Feng Qiu
2022 J jnl
A Multi-Layer Regression based Predicable Function Fitting Network.
CoRR
Changlin Wan, Zhongzhi Shi
2022 A conf
Bias aware probabilistic Boolean matrix factorization.
UAI
Changlin Wan, Pengtao Dang, Tong Zhao, Yong Zang, Chi Zhang, Sha Cao
2022 J jnl
PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning.
PLoS Comput. Biol.
Junyi Zhou, Xiaoyu Lu, Wennan Chang, Changlin Wan, Xiongbin Lu, Chi Zhang, Sha Cao
2021 J jnl
IRIS-FGM: an integrative single-cell RNA-Seq interpretation system for functional gene module analysis.
Bioinform.
Yuzhou Chang, Carter Allen, Changlin Wan, Dongjun Chung, Chi Zhang, Zihai Li, Qin Ma
2021 J jnl
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks.
CoRR
Changlin Wan, Muhan Zhang, Wei Hao, Sha Cao, Pan Li, Chi Zhang
2021 J jnl
SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data.
Briefings Bioinform.
Xiaoyu Lu, Szu-Wei Tu, Wennan Chang, Changlin Wan, Jiashi Wang, Yong Zang, Baskar Ramdas, Reuben Kapur, Xiongbin Lu, Sha Cao, Chi Zhang
2021 — conf
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.
MLSys
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
2021 A* conf
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence.
ICDM
Wennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao
2021 J jnl
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence.
CoRR
Wennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao
2021 J jnl
Supervised clustering of high-dimensional data using regularized mixture modeling.
Briefings Bioinform.
Wennan Chang, Changlin Wan, Yong Zang, Chi Zhang, Sha Cao
2020 — conf
A data denoising approach to optimize functional clustering of single cell RNA-sequencing data.
BIBM
Changlin Wan, Dongya Jia, Yue Zhao, Wennan Chang, Sha Cao, Xiao Wang, Chi Zhang
2020 A conf
Denoising Individual Bias for Fairer Binary Submatrix Detection.
CIKM
Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang
2020 J jnl
Denoising individual bias for a fairer binary submatrix detection.
CoRR
Changlin Wan, Wennan Chang, Tong Zhao, Yong Zang, Sha Cao, Chi Zhang
2020 A* conf
Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation.
AAAI
Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang
2020 J jnl
Geometric All-Way Boolean Tensor Decomposition.
CoRR
Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang
2020 A* conf
Geometric All-way Boolean Tensor Decomposition.
NeurIPS
Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang
2020 J jnl
Supervised clustering of high dimensional data using regularized mixture modeling.
CoRR
Wennan Chang, Changlin Wan, Yong Zang, Chi Zhang, Sha Cao
2019 J jnl
M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data.
BMC Bioinform.
Yu Zhang, Changlin Wan, Pengcheng Wang, Wennan Chang, Yan Huo, Jian Chen, Qin Ma, Sha Cao, Chi Zhang
2019 J jnl
MEBF: a fast and efficient Boolean matrix factorization method.
CoRR
Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang
2017 J jnl
Anaconda: AN automated pipeline for somatic COpy Number variation Detection and Annotation from tumor exome sequencing data.
BMC Bioinform.
Jianing Gao, Changlin Wan, Huan Zhang, Ao Li, Qiguang Zang, Rongjun Ban, Asim Ali, Zhenghua Yu, Qinghua Shi, Xiaohua Jiang, Yuanwei Zhang
2017 J jnl
CPSS 2.0: a computational platform update for the analysis of small RNA sequencing data.
Bioinform.
Changlin Wan, Jianing Gao, Huan Zhang, Xiaohua Jiang, Qiguang Zang, Rongjun Ban, Yuanwei Zhang, Qinghua Shi
2008 A conf
A DDL-Based Model for Web Service Composition in Context-Aware Environment.
ICWS
Wenjia Niu, Zhongzhi Shi, Changlin Wan, Liang Chang, Hui Peng
2008 — conf
On Solving QoS-Aware Service Selection Problem with Service Composition.
GCC
Changlin Wan, Carsten Ullrich, Limin Chen, Rui Huang, Jiewen Luo, Zhongzhi Shi
2008 Misc conf
Solving Medium-Density Subset Sum Problems in Expected Polynomial Time: An Enumeration Approach.
FAW
Changlin Wan, Zhongzhi Shi
2007 J jnl
An Improved Enumeration Scheme for Subset Sum Problem
CoRR
Changlin Wan
2006 C conf
Semantic Web Services Composition Using AI Planning of Description Logics.
APSCC
Lirong Qiu, Fen Lin, Changlin Wan, Zhongzhi Shi