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2020 – today
- 2024
[j7]Changlin Wan, Muhan Zhang, Pengtao Dang, Wei Hao, Sha Cao, Pan Li, Chi Zhang:
Ambiguities in neural-network-based hyperedge prediction. J. Appl. Comput. Topol. 8(5): 1333-1361 (2024)- 2023
- [j6]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): 2499-2513 (2023) - [c12]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: 390-401 - 2022
- [j5]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) - [c11]Changlin Wan, Pengtao Dang, Tong Zhao, Yong Zang, Chi Zhang, Sha Cao:
Bias aware probabilistic Boolean matrix factorization. UAI 2022: 2035-2044 - [i8]Changlin Wan, Zhongzhi Shi:
A Multi-Layer Regression based Predicable Function Fitting Network. CoRR abs/2209.09647 (2022) - 2021
- [j4]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): 3045-3047 (2021) - [c10]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: 31-40 - [c9]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 - [i7]Changlin Wan, Muhan Zhang, Wei Hao, Sha Cao, Pan Li, Chi Zhang:
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks. CoRR abs/2106.04292 (2021) - [i6]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 abs/2109.00539 (2021) - 2020
- [c8]Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang:
Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation. AAAI 2020: 6086-6093 - [c7]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: 217-222 - [c6]Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang:
Denoising Individual Bias for Fairer Binary Submatrix Detection. CIKM 2020: 2245-2248 - [c5]Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang:
Geometric All-way Boolean Tensor Decomposition. NeurIPS 2020 - [i5]Wennan Chang, Changlin Wan, Yong Zang, Chi Zhang, Sha Cao:
Supervised clustering of high dimensional data using regularized mixture modeling. CoRR abs/2007.09720 (2020) - [i4]Changlin Wan, Wennan Chang, Tong Zhao, Yong Zang, Sha Cao, Chi Zhang:
Denoising individual bias for a fairer binary submatrix detection. CoRR abs/2007.15816 (2020) - [i3]Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang:
Geometric All-Way Boolean Tensor Decomposition. CoRR abs/2007.15821 (2020)
2010 – 2019
- 2019
- [j3]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. 20-S(24): 672 (2019) - [i2]Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang:
MEBF: a fast and efficient Boolean matrix factorization method. CoRR abs/1909.03991 (2019) - 2017
- [j2]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): 3289-3291 (2017) - [j1]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): 436:1-436:6 (2017)
2000 – 2009
- 2008
- [c4]Changlin Wan, Zhongzhi Shi:
Solving Medium-Density Subset Sum Problems in Expected Polynomial Time: An Enumeration Approach. FAW 2008: 300-310 - [c3]Changlin Wan, Carsten Ullrich, Limin Chen, Rui Huang, Jiewen Luo, Zhongzhi Shi:
On Solving QoS-Aware Service Selection Problem with Service Composition. GCC 2008: 467-474 - [c2]Wenjia Niu, Zhongzhi Shi, Changlin Wan, Liang Chang, Hui Peng:
A DDL-Based Model for Web Service Composition in Context-Aware Environment. ICWS 2008: 787-788 - 2007
- [i1]Changlin Wan:
An Improved Enumeration Scheme for Subset Sum Problem. CoRR abs/0712.3203 (2007) - 2006
- [c1]Lirong Qiu, Fen Lin, Changlin Wan, Zhongzhi Shi:
Semantic Web Services Composition Using AI Planning of Description Logics. APSCC 2006: 340-347
Coauthor Index
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