Peilin Zhao

Q: What Schools Are Affiliated With Peilin Zhao

Peilin Zhao is affiliated with the following schools: South China University of Technology, Nanyang Technological University

Peilin Zhao's AcademicInfluence.com Rankings

Peilin Zhao

Engineering

#7377

World Rank

#8747

Historical Rank

Electrical Engineering

#2299

World Rank

#2407

Historical Rank

Applied Physics

#2545

World Rank

#2586

Historical Rank

engineering Degrees

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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?

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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:

Peilin Zhao's Academic­Influence.com Rankings

Peilin Zhao's Degrees

Why Is Peilin Zhao Influential?

Peilin Zhao's Published Works

Published Works

What Schools Are Affiliated With Peilin Zhao?

Peilin Zhao's AcademicInfluence.com Rankings