Beilun Wang - RankMe

55 papers A* 13A 5B 1C 4Misc 1Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Identification of Influential Node Group in Attributed Graph through Explaining Graph Neural Network. WWW Xiao Tan, Tongtong Su, Jiayi Wu, Yan Zhang, Binghui Xu, Dian Shen, Meng Wang, Beilun Wang
2026	J	`jnl`	Structured Episodic Event Memory. CoRR Zhengxuan Lu, Dongfang Li, Yukun Shi, Beilun Wang, Longyue Wang, Baotian Hu
2025	A*	`conf`	Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security. ICML Yangyang Shen, Xiao Tan, Dian Shen, Meng Wang, Beilun Wang
2025	A*	`conf`	HyperCom: Enabling High Performance and Composable Data Structures for Software Network Functions with eBPF. INFOCOM Bin Yang, Dian Shen, Hanlin Yang, Lunqi Zhao, Jianrui Liu, Jiantao Cheng, Beilun Wang
2025	A*	`conf`	ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks. IJCAI Kai Sun, Peibo Duan, Levin Kuhlmann, Beilun Wang, Bin Zhang
2025	J	`jnl`	ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks. CoRR Kai Sun, Peibo Duan, Levin Kuhlmann, Beilun Wang, Bin Zhang
2025	J	`jnl`	MolAct: An Agentic RL Framework for Molecular Editing and Property Optimization. CoRR Zhuo Yang, Yeyun Chen, Jiaqing Xie, Ben Gao, Shuaike Shen, Wanhao Liu, Liujia Yang, Beilun Wang, Tianfan Fu, Yuqiang Li
2025	A*	`conf`	NoTeNet: Normalized Mutual Information-Driven Tuning-free Dynamic Dependence Network Inference Method for Multimodal Data. WWW Xiao Tan, Yangyang Shen, Yan Zhang, Jingwen Shao, Dian Shen, Meng Wang, Beilun Wang
2025	J	`jnl`	Sparse and smooth additive isotonic model in high-dimensional settings. Mach. Learn. Jiaqi Zhang, Yiqin Wang, Meng Wang, Beilun Wang
2025	J	`jnl`	Structured reflective reasoning for precise medical knowledge graph retrieval augmented generation. Health Inf. Sci. Syst. Beilun Wang, Jiayi Wu, Yutian Shi, Wenhao Chen, Fan Gong
2025	A	`conf`	eNetSTL: Towards an In-kernel Library for High-Performance eBPF-based Network Functions. EuroSys Bin Yang, Dian Shen, Junxue Zhang, Hanlin Yang, Lunqi Zhao, Beilun Wang, Guyue Liu, Kai Chen
2024	C	`conf`	A Privacy-Preserving Method for Sequential Recommendation in Vertical Federated Learning. CSCWD Yutian Shi, Beilun Wang
2024	A*	`conf`	Adaptive Group Personalization for Federated Mutual Transfer Learning. ICML Haoqing Xu, Dian Shen, Meng Wang, Beilun Wang
2024	J	`jnl`	Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning. Health Inf. Sci. Syst. Shidong Wang, Yangyang Shen, Fanwei Zeng, Meng Wang, Bohan Li, Dian Shen, Xiaodong Tang, Beilun Wang
2024	A	`conf`	Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix. CIKM Xiao Tan, Zhaoyang Wang, Hao Qian, Jun Zhou, Peibo Duan, Dian Shen, Meng Wang, Beilun Wang
2024	A*	`conf`	FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings. NeurIPS Xiao Tan, Yiqin Wang, Yangyang Shen, Dian Shen, Meng Wang, Peibo Duan, Beilun Wang
2024	A*	`conf`	Hynify: A High-throughput and Unified Accelerator for Multi-Mode Nonparametric Statistics. DAC Kaihong Huang, Dian Shen, Zhaoyang Wang, Juntao Yang, Beilun Wang
2024	—	`conf`	Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix. DASFAA (5) Xiao Tan, Zhaoyang Wang, Meng Wang, Dian Shen, Weitong Chen, Beilun Wang
2023	C	`conf`	A Framework Using Absolute Compression Hard-Threshold for Improving The Robustness of Federated Learning Model. CSCWD Yuzhang Wu, Beilun Wang
2023	C	`conf`	A Robust Framework for Fixing The Vulnerability of Compressed Distributed Learning. CSCWD Yueyao Chen, Beilun Wang, Yan Zhang, Jingyu Kuang
2023	C	`conf`	Applying Robust Gradient Difference Compression to Federated Learning. CSCWD Yueyao Chen, Beilun Wang, Tianyi Ma, Cheng Chen
2023	B	`conf`	Collaborative Estimating Multiple Gaussian Graphical Models on Resource Constrained Devices in IoT Networks. SMC Ying Zhan, Beilun Wang
2023	A	`conf`	Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data. CIKM Xiao Tan, Yangyang Shen, Meng Wang, Beilun Wang
2023	A*	`conf`	Label Information Enhanced Fraud Detection against Low Homophily in Graphs. WWW Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo
2023	J	`jnl`	Label Information Enhanced Fraud Detection against Low Homophily in Graphs. CoRR Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo
2023	A*	`conf`	Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module. ICDM Yan Zhang, Cheng Chen, Dian Shen, Meng Wang, Beilun Wang
2022	A*	`conf`	A Difference Standardization Method for Mutual Transfer Learning. ICML Haoqing Xu, Meng Wang, Beilun Wang
2022	J	`jnl`	Fast and scalable learning of sparse changes in high-dimensional graphical model structure. Neurocomputing Beilun Wang, Jiaqi Zhang, Haoqing Xu, Te Tao
2022	J	`jnl`	TKGAT: Graph attention network for knowledge-enhanced tag-aware recommendation system. Knowl. Based Syst. Beilun Wang, Haoqing Xu, Chunshu Li, Yuchen Li, Meng Wang
2021	J	`jnl`	Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing. Sensors Kaihong Huang, Chunshu Li, Jiaqi Zhang, Beilun Wang
2021	J	`jnl`	Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network. ACM Trans. Sens. Networks Beilun Wang, Jiaqi Zhang, Yan Zhang, Meng Wang, Sen Wang
2020	—	`conf`	An OpenCV-based Framework for Table Information Extraction. ICKG Jiayi Yuan, Hongye Li, Meng Wang, Ruyang Liu, Chuanyou Li, Beilun Wang
2020	J	`jnl`	Differential Network Learning Beyond Data Samples. CoRR Arshdeep Sekhon, Beilun Wang, Zhe Wang, Yanjun Qi
2020	J	`jnl`	How Decisions Are Made in Brains: Unpack "Black Box" of CNN With Ms. Pac-Man Video Game. IEEE Access Beilun Wang, Rui Ma, Jingyu Kuang, Yan Zhang
2020	A*	`conf`	Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. IJCAI Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang
2019	J	`jnl`	Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models. CoRR Jiaqi Zhang, Beilun Wang
2019	J	`jnl`	Sparse and Low-Rank Tensor Regression via Parallel Proximal Method. CoRR Jiaqi Zhang, Beilun Wang
2018	A*	`conf`	A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. ICML Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2018	J	`jnl`	A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. CoRR Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2018	A	`conf`	Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. AISTATS Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2017	J	`jnl`	A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs. CoRR Chandan Singh, Beilun Wang, Yanjun Qi
2017	A	`conf`	A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models. AISTATS Beilun Wang, Ji Gao, Yanjun Qi
2017	J	`jnl`	A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models. CoRR Beilun Wang, Ji Gao, Yanjun Qi
2017	—	`conf`	A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Samples. ICLR (Workshop) Beilun Wang, Ji Gao, Yanjun Qi
2017	J	`jnl`	A constrained $$\ell $$ ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models. Mach. Learn. Beilun Wang, Ritambhara Singh, Yanjun Qi
2017	Misc	`conf`	Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. PSB Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi
2017	—	`conf`	DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples. ICLR (Workshop) Ji Gao, Beilun Wang, Zeming Lin, Weilin Xu, Yanjun Qi
2017	J	`jnl`	DeepMask: Masking DNN Models for robustness against adversarial samples. CoRR Ji Gao, Beilun Wang, Yanjun Qi
2017	J	`jnl`	Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. CoRR Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2017	—	`conf`	GaKCo: A Fast Gapped k-mer String Kernel Using Counting. ECML/PKDD (1) Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
2017	J	`jnl`	GaKCo: a Fast GApped k-mer string Kernel using COunting. CoRR Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
2016	J	`jnl`	A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise. CoRR Beilun Wang, Ji Gao, Yanjun Qi
2016	J	`jnl`	A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models. CoRR Beilun Wang, Ritambhara Singh, Yanjun Qi
2016	J	`jnl`	Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. CoRR Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi
2016	J	`jnl`	Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data. ACM Trans. Knowl. Discov. Data Feiyu Xiong, Moshe Kam, Leonid Hrebien, Beilun Wang, Yanjun Qi