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Beilun Wang
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2020 – today
- 2024
- [j8]Shidong Wang, Yangyang Shen, Fanwei Zeng, Meng Wang, Bohan Li, Dian Shen, Xiaodong Tang, Beilun Wang
:
Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning. Health Inf. Sci. Syst. 12(1): 31 (2024) - [c21]Xiao Tan, Zhaoyang Wang, Hao Qian, Jun Zhou, Peibo Duan, Dian Shen, Meng Wang, Beilun Wang:
Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix. CIKM 2024: 2210-2219 - [c20]Yutian Shi, Beilun Wang:
A Privacy-Preserving Method for Sequential Recommendation in Vertical Federated Learning. CSCWD 2024: 2221-2226 - [c19]Kaihong Huang, Dian Shen, Zhaoyang Wang, Juntao Yang, Beilun Wang:
Hynify: A High-throughput and Unified Accelerator for Multi-Mode Nonparametric Statistics. DAC 2024: 90:1-90:6 - [c18]Haoqing Xu, Dian Shen, Meng Wang, Beilun Wang:
Adaptive Group Personalization for Federated Mutual Transfer Learning. ICML 2024 - 2023
- [c17]Xiao Tan
Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data. CIKM 2023: 2382-2391 - [c16]Yueyao Chen, Beilun Wang, Yan Zhang, Jingyu Kuang:
A Robust Framework for Fixing The Vulnerability of Compressed Distributed Learning. CSCWD 2023: 733-738 - [c15]Yuzhang Wu, Beilun Wang:
A Framework Using Absolute Compression Hard-Threshold for Improving The Robustness of Federated Learning Model. CSCWD 2023: 1106-1111 - [c14]Yueyao Chen, Beilun Wang, Tianyi Ma
Applying Robust Gradient Difference Compression to Federated Learning. CSCWD 2023: 1748-1753 - [c13]Yan Zhang, Cheng Chen, Dian Shen, Meng Wang, Beilun Wang:
Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module. ICDM 2023: 828-837 - [c12]Ying Zhan, Beilun Wang:
Collaborative Estimating Multiple Gaussian Graphical Models on Resource Constrained Devices in IoT Networks. SMC 2023: 3583-3588 - [c11]Yuchen Wang
Label Information Enhanced Fraud Detection against Low Homophily in Graphs. WWW 2023: 406-416 - [i13]Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo:
Label Information Enhanced Fraud Detection against Low Homophily in Graphs. CoRR abs/2302.10407 (2023) - 2022
- [j7]Beilun Wang, Jiaqi Zhang
Fast and scalable learning of sparse changes in high-dimensional graphical model structure. Neurocomputing 514: 39-57 (2022) - [j6]Beilun Wang
TKGAT: Graph attention network for knowledge-enhanced tag-aware recommendation system. Knowl. Based Syst. 257: 109903 (2022) - [c10]Haoqing Xu
A Difference Standardization Method for Mutual Transfer Learning. ICML 2022: 24683-24697 - 2021
- [j5]Kaihong Huang
Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing. Sensors 21(16): 5455 (2021) - [j4]Beilun Wang, Jiaqi Zhang
Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network. ACM Trans. Sens. Networks 17(3): 23:1-23:33 (2021) - 2020
- [j3]Beilun Wang
How Decisions Are Made in Brains: Unpack "Black Box" of CNN With Ms. Pac-Man Video Game. IEEE Access 8: 142446-142458 (2020) - [c9]Jiayi Yuan, Hongye Li, Meng Wang, Ruyang Liu, Chuanyou Li, Beilun Wang:
An OpenCV-based Framework for Table Information Extraction. ICKG 2020: 621-628 - [c8]Jiaqi Zhang
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. IJCAI 2020: 2964-2972 - [i12]Arshdeep Sekhon, Beilun Wang, Zhe Wang, Yanjun Qi:
Differential Network Learning Beyond Data Samples. CoRR abs/2004.11494 (2020)
2010 – 2019
- 2019
- [i11]Jiaqi Zhang, Beilun Wang:
Sparse and Low-Rank Tensor Regression via Parallel Proximal Method. CoRR abs/1911.12965 (2019) - [i10]Jiaqi Zhang, Beilun Wang:
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models. CoRR abs/1912.01450 (2019) - 2018
- [c7]Beilun Wang, Arshdeep Sekhon, Yanjun Qi:
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. AISTATS 2018: 1691-1700 - [c6]Beilun Wang, Arshdeep Sekhon, Yanjun Qi:
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. ICML 2018: 5148-5157 - [i9]Beilun Wang, Arshdeep Sekhon, Yanjun Qi:
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. CoRR abs/1806.00548 (2018) - 2017
- [j2]Beilun Wang, Ritambhara Singh, Yanjun Qi:
A constrained $$\ell $$ ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models. Mach. Learn. 106(9-10): 1381-1417 (2017) - [c5]Beilun Wang, Ji Gao, Yanjun Qi:
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models. AISTATS 2017: 1168-1177 - [c4]Ji Gao, Beilun Wang, Zeming Lin, Weilin Xu, Yanjun Qi:
DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples. ICLR (Workshop) 2017 - [c3]Beilun Wang, Ji Gao, Yanjun Qi:
A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Samples. ICLR (Workshop) 2017 - [c2]Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari
GaKCo: A Fast Gapped k-mer String Kernel Using Counting. ECML/PKDD (1) 2017: 356-373 - [c1]Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi:
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. PSB 2017: 254-265 - [i8]Beilun Wang, Ji Gao, Yanjun Qi:
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models. CoRR abs/1702.02715 (2017) - [i7]Ji Gao
DeepMask: Masking DNN Models for robustness against adversarial samples. CoRR abs/1702.06763 (2017) - [i6]Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi:
GaKCo: a Fast GApped k-mer string Kernel using COunting. CoRR abs/1704.07468 (2017) - [i5]Chandan Singh
A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs. CoRR abs/1709.04090 (2017) - [i4]Beilun Wang, Arshdeep Sekhon, Yanjun Qi:
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. CoRR abs/1710.11223 (2017) - 2016
- [j1]Feiyu Xiong, Moshe Kam, Leonid Hrebien, Beilun Wang, Yanjun Qi:
Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data. ACM Trans. Knowl. Discov. Data 10(4): 38:1-38:23 (2016) - [i3]Beilun Wang, Ritambhara Singh, Yanjun Qi:
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models. CoRR abs/1605.03468 (2016) - [i2]Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi:
Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. CoRR abs/1608.03644 (2016) - [i1]Beilun Wang, Ji Gao, Yanjun Qi:
A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise. CoRR abs/1612.00334 (2016)
Coauthor Index
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