Peilin Zhao
#166,406
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Peilin Zhao's AcademicInfluence.com Rankings
Peilin Zhaoengineering Degrees
Engineering
#7377
World Rank
#8747
Historical Rank
Electrical Engineering
#2299
World Rank
#2407
Historical Rank
Applied Physics
#2545
World Rank
#2586
Historical Rank

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Engineering
Peilin Zhao's Degrees
- PhD Electrical Engineering Stanford University
- Masters Electrical Engineering Stanford University
- Bachelors Electrical Engineering Stanford University
Why Is Peilin Zhao Influential?
(Suggest an Edit or Addition)Peilin Zhao's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life (2016) (553)
- Local features are not lonely – Laplacian sparse coding for image classification (2010) (470)
- Graph Convolutional Networks for Temporal Action Localization (2019) (318)
- Stochastic Optimization with Importance Sampling for Regularized Loss Minimization (2015) (284)
- Online Learning: A Comprehensive Survey (2018) (276)
- FedML: A Research Library and Benchmark for Federated Machine Learning (2020) (261)
- Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction (2016) (250)
- Online Feature Selection and Its Applications (2014) (245)
- Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks (2020) (242)
- LIBOL: a library for online learning algorithms (2014) (220)
- Online AUC Maximization (2011) (218)
- Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization (2017) (193)
- Online multimodal deep similarity learning with application to image retrieval (2013) (170)
- Exact Soft Confidence-Weighted Learning (2012) (167)
- PAMR: Passive aggressive mean reversion strategy for portfolio selection (2012) (158)
- Large Scale Online Kernel Learning (2016) (140)
- Mastering Complex Control in MOBA Games with Deep Reinforcement Learning (2019) (139)
- Cost-sensitive online active learning with application to malicious URL detection (2013) (132)
- Online Transfer Learning (2014) (129)
- Online ARIMA Algorithms for Time Series Prediction (2016) (128)
- OTL: A Framework of Online Transfer Learning (2010) (113)
- Online Multiple Kernel Classification (2013) (111)
- Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection (2011) (109)
- Online feature selection for mining big data (2012) (109)
- Double Updating Online Learning (2011) (107)
- Cost-Sensitive Online Classification (2012) (95)
- FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks (2021) (90)
- Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis (2019) (90)
- Stochastic Optimization with Importance Sampling (2014) (88)
- Online Multiple Kernel Similarity Learning for Visual Search (2014) (87)
- Repeat Buyer Prediction for E-Commerce (2016) (83)
- Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling (2014) (82)
- Mining social images with distance metric learning for automated image tagging (2011) (82)
- GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization (2019) (79)
- Online Multi-Modal Distance Metric Learning with Application to Image Retrieval (2016) (76)
- A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks (2017) (76)
- Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning (2012) (74)
- NAT: Neural Architecture Transformer for Accurate and Compact Architectures (2019) (71)
- Adversarial Sparse Transformer for Time Series Forecasting (2020) (69)
- Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies (2019) (64)
- Towards Fast Adaptation of Neural Architectures with Meta Learning (2020) (62)
- RetroXpert: Decompose Retrosynthesis Prediction like a Chemist (2020) (60)
- Projection-free Distributed Online Learning in Networks (2017) (59)
- Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication (2018) (56)
- COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19 (2020) (56)
- A Boosting Algorithm for Item Recommendation with Implicit Feedback (2015) (53)
- Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data (2016) (51)
- From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification (2019) (50)
- Online Passive-Aggressive Active learning (2016) (49)
- Contextualized Point-of-Interest Recommendation (2020) (48)
- Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search (2020) (45)
- Online multi-task collaborative filtering for on-the-fly recommender systems (2013) (45)
- Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization (2018) (43)
- KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial (2017) (40)
- Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data (2018) (40)
- Adaptive Cost-Sensitive Online Classification (2018) (38)
- Collaborative topic regression for online recommender systems: an online and Bayesian approach (2017) (37)
- An Adaptive Gradient Method for Online AUC Maximization (2015) (36)
- Context-Aware Domain Adaptation in Semantic Segmentation (2020) (35)
- Efficient Test-Time Model Adaptation without Forgetting (2022) (33)
- Detecting cyberattacks in industrial control systems using online learning algorithms (2019) (33)
- Online Learning to Rank for Content-Based Image Retrieval (2015) (31)
- Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (2020) (29)
- Distributed multi-task classification: a decentralized online learning approach (2018) (29)
- Cost-Sensitive Online Classification (2014) (29)
- Soft Confidence-Weighted Learning (2016) (29)
- Complexities in Projection-Free Stochastic Non-convex Minimization (2019) (26)
- AUC-MF: Point of Interest Recommendation with AUC Maximization (2019) (25)
- Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems (2017) (25)
- Learning User Dependencies for Recommendation (2017) (25)
- Molecular Graph Enhanced Transformer for Retrosynthesis Prediction (2019) (24)
- Online Passive Aggressive Active Learning and Its Applications (2014) (24)
- Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings (2020) (23)
- High-Dimensional Data Stream Classification via Sparse Online Learning (2014) (23)
- Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications (2015) (22)
- DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations (2022) (22)
- Large Scale Online Kernel Classification (2013) (21)
- DUOL: A Double Updating Approach for Online Learning (2009) (21)
- Second-Order Online Active Learning and Its Applications (2018) (21)
- Hyperparameter Learning via Distributional Transfer (2018) (20)
- Local Augmentation for Graph Neural Networks (2021) (19)
- PSMART: Parameter Server based Multiple Additive Regression Trees System (2017) (19)
- Large Scale Kernel Methods for Online AUC Maximization (2017) (19)
- Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend (2019) (19)
- Transformer for Graphs: An Overview from Architecture Perspective (2022) (19)
- Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback (2017) (19)
- Online Multiple Kernel Similarity Learning for Visual Search. (2013) (18)
- Point-of-Interest Recommendation With Global and Local Context (2021) (18)
- Adaptive Stochastic Alternating Direction Method of Multipliers (2013) (17)
- SOAL: Second-Order Online Active Learning (2016) (17)
- Online Adaptive Asymmetric Active Learning With Limited Budgets (2019) (17)
- Robust Online Multi-Task Learning with Correlative and Personalized Structures (2017) (16)
- Relation-Aware Transformer for Portfolio Policy Learning (2020) (16)
- Towards Accurate and Compact Architectures via Neural Architecture Transformer (2021) (16)
- Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation (2021) (16)
- Active Learning with Expert Advice (2013) (15)
- An Aggressive Graph-Based Selective Sampling Algorithm for Classification (2015) (15)
- Cost Sensitive Online Multiple Kernel Classification (2016) (15)
- Online Compact Convexified Factorization Machine (2018) (15)
- Meta-learning with an Adaptive Task Scheduler (2021) (14)
- Graph Convolutional Module for Temporal Action Localization in Videos (2021) (14)
- A Min-Max Optimization Framework For Online Graph Classification (2015) (14)
- p-Laplacian Based Graph Neural Networks (2021) (14)
- Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection (2013) (14)
- Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods (2018) (14)
- Online Active Learning with Expert Advice (2018) (14)
- Online Multitask Relative Similarity Learning (2017) (13)
- Meta-learning Hyperparameter Performance Prediction with Neural Processes (2021) (13)
- Hierarchical Graph Capsule Network (2020) (12)
- Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss (2018) (12)
- Adaptive Subgradient Methods for Online AUC Maximization (2016) (11)
- A Framework of Sparse Online Learning and Its Applications (2015) (11)
- Online Sparse Passive Aggressive Learning with Kernels (2016) (11)
- GNN-Retro: Retrosynthetic Planning with Graph Neural Networks (2022) (11)
- Learning Optimal Social Dependency for Recommendation (2016) (11)
- Learning Relative Similarity from Data Streams: Active Online Learning Approaches (2015) (10)
- Locally Linear Factorization Machines (2017) (10)
- BDUOL: Double Updating Online Learning on a Fixed Budget (2012) (10)
- Neural graph personalized ranking for Top-N Recommendation (2020) (10)
- ROM: A Robust Online Multi-task Learning Approach (2016) (9)
- Disturbance-immune Weight Sharing for Neural Architecture Search (2020) (9)
- Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media (2022) (9)
- Towards Stable Test-Time Adaptation in Dynamic Wild World (2023) (8)
- Active Crowdsourcing for Annotation (2015) (8)
- AdaXpert: Adapting Neural Architecture for Growing Data (2021) (7)
- Efficient Multi-Class Selective Sampling on Graphs (2016) (7)
- PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning (2021) (7)
- Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets (2021) (7)
- Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications (2016) (7)
- Data Analytics for Fog Computing by Distributed Online Learning with Asynchronous Update (2019) (7)
- Distributed Collaborative Hashing and Its Applications in Ant Financial (2018) (6)
- Transferable Neural Processes for Hyperparameter Optimization (2019) (6)
- Robust Asymmetric Recommendation via Min-Max Optimization (2018) (6)
- Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization (2016) (6)
- Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization (2021) (5)
- Sparse Online Relative Similarity Learning (2015) (5)
- A Unified Framework for Sparse Online Learning (2020) (5)
- SVIP: Sequence VerIfication for Procedures in Videos (2021) (5)
- Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction (2022) (5)
- Robust Factorization Machine: A Doubly Capped Norms Minimization (2019) (5)
- Bandit Online Learning on Graphs via Adaptive Optimization (2018) (5)
- Learning Correlative and Personalized Structure for Online Multi-Task Classification (2016) (5)
- A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding (2020) (4)
- Confidence Weighted Multitask Learning (2019) (4)
- Kernel based online learning (2013) (4)
- High-dimensional Similarity Learning via Dual-sparse Random Projection (2018) (4)
- A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection (2022) (3)
- Learning Graphon Autoencoders for Generative Graph Modeling (2021) (3)
- Temporal Kernel Descriptors for Learning with Time-sensitive Patterns (2016) (3)
- RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction (2021) (3)
- Learning Relative Similarity by Stochastic Dual Coordinate Ascent (2014) (3)
- Pareto-aware Neural Architecture Generation for Diverse Computational Budgets (2022) (3)
- Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points (2018) (3)
- Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer (2022) (3)
- Value Penalized Q-Learning for Recommender Systems (2021) (3)
- Multi-scale Attention Flow for Probabilistic Time Series Forecasting (2022) (3)
- Budget Online Multiple Kernel Learning (2015) (2)
- ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification (2022) (2)
- A Boosting Framework of Factorization Machine (2018) (2)
- PAMR: Passive aggressive mean reversion strategy for portfolio selection (2012) (2)
- tFold-Ab: Fast and Accurate Antibody Structure Prediction without Sequence Homologs (2022) (2)
- Interpretable Retrosynthesis Prediction in Two Steps (2020) (2)
- Decentralized Optimization with Edge Sampling (2019) (2)
- UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup (2022) (2)
- Learning Joint Wasserstein Auto-Encoders for Joint Distribution Matching (2018) (1)
- Metro: Memory-Enhanced Transformer for Retrosynthetic Planning via Reaction Tree (2022) (1)
- Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling (2021) (1)
- Online Transfer Learning: Towards Knowledge Transfer via Online Learning (2009) (1)
- Hierarchical graph learning for protein–protein interaction (2023) (1)
- Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference (2022) (1)
- Handling Missing Data via Max-Entropy Regularized Graph Autoencoder (2022) (1)
- DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup (2022) (1)
- Library for Online Learning Algorithms (LIBOL) (2014) (1)
- Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization (2022) (1)
- ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery (2022) (1)
- Aggregated Gradient Langevin Dynamics (2019) (1)
- Institutional Knowledge at Singapore Management University Projection-free distributed online learning in networks (2019) (0)
- Vertical Federated Linear Contextual Bandits (2022) (0)
- Learning Neural Set Functions Under the Optimal Subset Oracle (2022) (0)
- Towards Interpreting Deep Neural Networks via Understanding Layer Behaviors (2019) (0)
- Joint Wasserstein Distribution Matching (2020) (0)
- Institutional Knowledge at Singapore Management University Online AUC Maximization (2019) (0)
- Review on OFS: Online Feature Selection based on Regression Analysis and Clustering Method along with its Application (2020) (0)
- Review on OFS: Online Feature Selection based on Regression Analysis and Clustering Method along with its Application (2020) (0)
- A dual diffusion model enables 3D binding bioactive molecule generation and lead optimization given target pockets (2023) (0)
- Institutional Knowledge at Singapore Management University Cost-sensitive online classification with adaptive regularization and its applications (2019) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Online Passive Aggressive Active Learning and its Applications Online Passive Aggressive Active Learning and its Applications (2020) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Online Passive Aggressive Active Learning and its Applications Online Passive Aggressive Active Learning and its Applications (2020) (0)
- Institutional Knowledge at Singapore Management University Second-order online active learning and its applications (2019) (0)
- MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction (2022) (0)
- Reweighted Mixup for Subpopulation Shift (2023) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Online ARIMA algorithms for time series prediction Online ARIMA algorithms for time series prediction (2020) (0)
- Online Multiple Kernel Classification (2012) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Second-order online active learning and its applications Second-order online active learning and its applications (2020) (0)
- Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? (2020) (0)
- Deploying Offline Reinforcement Learning with Human Feedback (2023) (0)
- Online Passive-Aggressive Active learning (2016) (0)
- Of Information Systems School of Information Systems 8-2012 Online Feature Selection for Mining Big Data (2015) (0)
- Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data (2022) (0)
- Matrix Factorization for Drug–Target Interaction Prediction (2017) (0)
- Collaborative online ranking algorithms for multitask learning (2019) (0)
- Mann-Whitney Test in the Evaluation of Conditioning and Loosing Technological Innovation * (2013) (0)
- Curriculum Graph Poisoning (2023) (0)
- Second order online multitask learning (2019) (0)
- Institutional Knowledge at Singapore Management University Adaptive cost-sensitive online classification (2019) (0)
- Collaborative online ranking algorithms for multitask learning (2019) (0)
- Multitask Relative Similarity Learning (2017) (0)
- Quantized Adaptive Subgradient Algorithms and Their Applications (2022) (0)
- GPN: A Joint Structural Learning Framework for Graph Neural Networks (2022) (0)
- Supplementary Materials for ``AdaXpert: Adapting Neural Architecture for Growing Data" (2021) (0)
- DeepLogic: Joint Learning of Neural Perception and Logical Reasoning (2022) (0)
- Distributed multi-task classification: a decentralized online learning approach (2017) (0)
- Institutional Knowledge at Singapore Management University Double Updating Online Learning (2019) (0)
- Decentralized Online Learning With Compressed Communication for Near-Sensor Data Analytics (2021) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Adaptive cost-sensitive online classification Adaptive cost-sensitive online classification (2020) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Projection-free distributed online learning in networks Projection-free distributed online learning in networks (2020) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Double Updating Online Learning Double Updating Online Learning (2020) (0)
- Fairness-guided Few-shot Prompting for Large Language Models (2023) (0)
- A Local Online Learning Approach for Non-linear Data (2018) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Online feature selection for mining big data Online feature selection for mining big data (2020) (0)
- Online learning of ARIMA for time series prediction (2016) (0)
- RetroComposer: Composing Templates for Template-Based Retrosynthesis Prediction (2021) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Online Passive-Aggressive Active Learning Online Passive-Aggressive Active Learning (2020) (0)
- Online Bayesian Collaborative Topic Regression (2016) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Online learning to rank for content-based image retrieval Online learning to rank for content-based image retrieval (2020) (0)
- L G ] 1 7 A pr 2 01 8 A Boosting Framework of Factorization Machine (2018) (0)
- Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation (2022) (0)
- Institutional Knowledge at Singapore Management University Online AUC Maximization (2019) (0)
- Collaborative topic regression for online recommender systems: an online and Bayesian approach (2017) (0)
- L G ] 2 1 O ct 2 01 9 Aggregated Gradient Langevin Dynamics (2019) (0)
- Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction (2022) (0)
- Accelerating Stochastic Alternating Direction Method of Multipliers with Adaptive Subgradient (2013) (0)
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What Schools Are Affiliated With Peilin Zhao?
Peilin Zhao is affiliated with the following schools: