Junchi Yan

Q: What Schools Are Affiliated With Junchi Yan

Junchi Yan is affiliated with the following schools: Stanford University, Shanghai Jiao Tong University

Junchi Yan's AcademicInfluence.com Rankings

Junchi Yan

Computer Science

#6293

World Rank

#6637

Historical Rank

Machine Learning

#1993

World Rank

#2019

Historical Rank

Artificial Intelligence

#2243

World Rank

#2281

Historical Rank

Database

#3393

World Rank

#3534

Historical Rank

computer-science Degrees

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Computer Science

Junchi Yan's Degrees

PhD Computer Science Stanford University
Masters Computer Science Stanford University
Bachelors Computer Science Stanford University

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Junchi Yan'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

SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects (2018) (385)
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object (2019) (352)
Image Matching from Handcrafted to Deep Features: A Survey (2020) (340)
Unsupervised Deep Learning for Optical Flow Estimation (2017) (269)
Modeling the Intensity Function of Point Process Via Recurrent Neural Networks (2017) (189)
Arbitrary-Oriented Object Detection with Circular Smooth Label (2020) (188)
Visual Saliency Detection via Sparsity Pursuit (2010) (184)
Person Re-Identification with Correspondence Structure Learning (2015) (175)
Deep Spectral Clustering Using Dual Autoencoder Network (2019) (173)
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks (2017) (168)
Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization (2016) (145)
A Short Survey of Recent Advances in Graph Matching (2016) (140)
Learning Combinatorial Embedding Networks for Deep Graph Matching (2019) (138)
Wasserstein Learning of Deep Generative Point Process Models (2017) (124)
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss (2021) (111)
Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach (2015) (109)
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing (2020) (101)
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection (2020) (98)
IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction (2016) (98)
Personalized Key Frame Recommendation (2017) (96)
Visual Saliency Based on Conditional Entropy (2009) (93)
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence (2021) (86)
Deep Extreme Multi-label Learning (2017) (85)
Generalizing Face Forgery Detection with High-frequency Features (2021) (84)
Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval (2016) (82)
On Estimating Air Pollution from Photos Using Convolutional Neural Network (2016) (82)
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators (2020) (81)
Adaptive Discrete Hypergraph Matching (2018) (77)
On Modeling and Predicting Individual Paper Citation Count over Time (2016) (77)
Joint Optimization for Consistent Multiple Graph Matching (2013) (68)
Discrete hyper-graph matching (2015) (66)
Optimum Subspace Learning and Error Correction for Tensors (2010) (65)
Graph Convolutional Network Hashing for Cross-Modal Retrieval (2019) (65)
Self-Paced Multi-Task Learning (2016) (61)
Graduated Consistency-Regularized Optimization for Multi-graph Matching (2014) (58)
Transformers in Time Series: A Survey (2022) (58)
Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder (2020) (58)
Neural Graph Matching Network: Learning Lawler’s Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching (2019) (57)
Joint Active Learning with Feature Selection via CUR Matrix Decomposition (2015) (57)
Learning Time Series Associated Event Sequences With Recurrent Point Process Networks (2019) (55)
Learning Correspondence Structures for Person Re-Identification (2017) (53)
On Machine Learning towards Predictive Sales Pipeline Analytics (2015) (52)
Learning deep graph matching with channel-independent embedding and Hungarian attention (2020) (51)
Towards Transferable Targeted Attack (2020) (51)
On the Convergence of Graph Matching: Graduated Assignment Revisited (2012) (50)
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks (2021) (48)
Joint Link Prediction and Network Alignment via Cross-graph Embedding (2019) (46)
MMRotate: A Rotated Object Detection Benchmark using PyTorch (2022) (45)
A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories (2016) (44)
Adversarial Learning for Robust Deep Clustering (2020) (42)
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics (2019) (42)
Low-Rank Matrix Approximation with Stability (2016) (42)
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks (2017) (41)
Learning Conditional Generative Models for Temporal Point Processes (2018) (41)
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting (2019) (40)
On Predictive Patent Valuation: Forecasting Patent Citations and Their Types (2017) (39)
On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited (2020) (39)
Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query (2019) (38)
Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming (2017) (38)
Visual saliency detection via rank-sparsity decomposition (2010) (37)
Generalizing Graph Matching beyond Quadratic Assignment Model (2018) (36)
Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach (2020) (35)
UniRE: A Unified Label Space for Entity Relation Extraction (2021) (35)
A Self-Paced Regularization Framework for Multilabel Learning (2016) (34)
A Matrix Decomposition Perspective to Multiple Graph Matching (2015) (33)
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning (2018) (33)
Learning for Graph Matching and Related Combinatorial Optimization Problems (2020) (33)
Handling Distribution Shifts on Graphs: An Invariance Perspective (2022) (33)
Learning Unseen Concepts via Hierarchical Decomposition and Composition (2020) (32)
Group Re-Identification: Leveraging and Integrating Multi-Grain Information (2018) (29)
Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection (2014) (28)
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark (2022) (28)
MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering (2016) (28)
Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior (2016) (27)
MergeNAS: Merge Operations into One for Differentiable Architecture Search (2020) (25)
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning (2020) (25)
The KFIoU Loss for Rotated Object Detection (2022) (24)
Sales pipeline win propensity prediction: A regression approach (2015) (22)
The Diversified Ensemble Neural Network (2020) (22)
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction (2018) (22)
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering (2017) (21)
A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting (2015) (20)
Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection (2016) (20)
On Joint Learning for Solving Placement and Routing in Chip Design (2021) (19)
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning (2020) (19)
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction (2020) (18)
Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment (2018) (17)
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach (2020) (17)
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information (2020) (17)
An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments (2009) (17)
Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph (2020) (17)
Learning structured communication for multi-agent reinforcement learning (2020) (17)
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation (2016) (17)
Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos (2020) (16)
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning (2022) (16)
Discriminative Partial Domain Adversarial Network (2020) (16)
Weighted sparse coding residual minimization for visual tracking (2011) (16)
Multi-View Point Registration via Alternating Optimization (2015) (16)
GFTE: Graph-based Financial Table Extraction (2020) (16)
Transductive Non-linear Learning for Chinese Hypernym Prediction (2017) (16)
Transferable AutoML by Model Sharing Over Grouped Datasets (2019) (16)
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction (2021) (15)
End-to-end learning for image-based air quality level estimation (2018) (15)
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning (2020) (15)
Decoupled Learning for Factorial Marked Temporal Point Processes (2018) (15)
Modeling and Applications for Temporal Point Processes (2019) (15)
Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering (2018) (15)
Attention based convolutional neural network for predicting RNA-protein binding sites (2017) (14)
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning (2017) (14)
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding (2020) (14)
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs (2021) (13)
A constrained clustering based approach for matching a collection of feature sets (2016) (13)
Unsupervised learning of optical flow with patch consistency and occlusion estimation (2020) (13)
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding (2022) (13)
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline (2022) (13)
Joint Cuts and Matching of Partitions in One Graph (2017) (12)
Self-Paced MultiTask Learning (2017) (12)
Learning Local Neighboring Structure for Robust 3D Shape Representation (2020) (12)
Improving mobile robot localization: grid-based approach (2012) (12)
Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem (2019) (11)
Deep Latent Graph Matching (2021) (11)
Texture Synthesis Based Thyroid Nodule Detection From Medical Ultrasound Images: Interpreting and Suppressing the Adversarial Effect of In-place Manual Annotation (2020) (11)
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation (2021) (11)
Self-SAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network (2021) (11)
AlphaRotate: A Rotation Detection Benchmark using TensorFlow (2021) (11)
Tensor error correction for corrupted values in visual data (2010) (11)
Determinant Regularization for Gradient-Efficient Graph Matching (2020) (10)
Contour detection via stacking random forest learning (2018) (10)
Detecting Rotated Objects as Gaussian Distributions and its 3-D Generalization (2022) (10)
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe (2022) (10)
Discrete Hypergraph Matching (2015) (10)
Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment (2021) (10)
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (2022) (10)
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification (2022) (9)
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning (2022) (9)
Early Air Pollution Forecasting as a Service: An Ensemble Learning Approach (2017) (9)
Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning (2022) (9)
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning (2021) (9)
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach (2021) (9)
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting (2021) (9)
End-to-End Solution with Clustering Method for Attrition Analysis (2016) (8)
Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series (2023) (8)
An Optimization Based Framework for Human Pose Estimation (2010) (8)
Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks (2019) (8)
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels (2020) (8)
Recent Advance in Temporal Point Process : from Machine Learning Perspective (2019) (8)
Decompositional Quantum Graph Neural Network (2022) (8)
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation (2022) (8)
RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection (2021) (8)
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling (2019) (7)
Nonlinear ICA Using Volume-Preserving Transformations (2022) (7)
Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective (2022) (7)
On Collective Robustness of Bagging Against Data Poisoning (2022) (7)
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning (2020) (7)
Visual analytics for loan guarantee network risk management. (2017) (7)
A hybrid approach for risk assessment of loan guarantee network (2017) (7)
Active Sample Learning and Feature Selection: A Unified Approach (2015) (7)
ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction (2021) (7)
EAutoDet: Efficient Architecture Search for Object Detection (2022) (6)
Model-based 3D human motion tracking and voxel reconstruction from sparse views (2010) (6)
On the flexibility of block coordinate descent for large-scale optimization (2018) (6)
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation (2022) (6)
Learning Substructure Invariance for Out-of-Distribution Molecular Representations (2022) (6)
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing (2021) (6)
Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective (2021) (6)
Hybrid Measurement of Air Quality as a Mobile Service: An Image Based Approach (2017) (5)
Clustering-Aware Multiple Graph Matching via Decayed Pairwise Matching Composition (2020) (5)
M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning (2022) (5)
Video Content Analysis for Compliance Audit in Finance and Security Industry (2020) (5)
Object Localization under Single Coarse Point Supervision (2022) (5)
Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition (2020) (5)
Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph (2021) (5)
BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding (2022) (5)
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem (2020) (5)
Machine Learning Methods in Solving the Boolean Satisfiability Problem (2022) (5)
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks (2022) (5)
Simultaneous 3-D human-motion tracking and voxel reconstruction (2010) (5)
Learning Comprehensive Motion Representation for Action Recognition (2021) (5)
Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model (2020) (4)
Improving Semantic Scene Categorization by Exploiting Audio-Visual Features (2009) (4)
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning (2019) (4)
Multi-Label Dilated Recurrent Network for Sequential Face Alignment (2018) (4)
A Survey for Solving Mixed Integer Programming via Machine Learning (2022) (4)
Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning (2017) (4)
Learning to Select Elements for Graphic Design (2020) (4)
A Divide-and-Conquer Approach for Large-Scale Multi-label Learning (2017) (4)
Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach (2022) (4)
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering (2022) (4)
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation (2020) (4)
A Bayesian framework for 3D human motion tracking from monocular image (2010) (4)
Differential Privacy with Variant-Noise for Gaussian Processes Classification (2019) (4)
Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB (2021) (4)
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks (2022) (4)
From Quantum Graph Computing to Quantum Graph Learning: A Survey (2022) (3)
Session Expert: a Lightweight Conference Session Recommender System (2018) (3)
PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds (2020) (3)
Layered Neighborhood Expansion for Incremental Multiple Graph Matching (2020) (3)
Align Representations with Base: A New Approach to Self-Supervised Learning (2022) (3)
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs (2022) (3)
Markless Human Motion Capture by Voxel Labeling (2009) (3)
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling (2023) (3)
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering (2019) (3)
Learning Neural Hamiltonian Dynamics: A Methodological Overview (2022) (3)
OS-LFFD: a light and fast face detector with Ommateum structure (2020) (3)
Robust Mesh Representation Learning via Efficient Local Structure-Aware Anisotropic Convolution. (2022) (3)
Deep Reinforcement Learning of Graph Matching (2020) (3)
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection (2022) (3)
Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview (2022) (3)
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (2022) (3)
A Deep Learning Approach with Feature Derivation and Selection for Overdue Repayment Forecasting (2020) (3)
Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination. (2021) (3)
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion (2023) (3)
Spatially Regularized Streaming Sensor Selection (2016) (3)
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment (2022) (2)
Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach (2022) (2)
tau-FPL: Tolerance-Constrained Learning in Linear Time (2018) (2)
TION FOR NEGATIVE-FREE SYMMETRIC CONTRASTIVE LEARNING (2022) (2)
StyleFace: Towards Identity-Disentangled Face Generation on Megapixels (2022) (2)
Spherical Transformer: Adapting Spherical Signal to CNNs (2021) (2)
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse (2021) (2)
H2RBox-v2: Boosting HBox-supervised Oriented Object Detection via Symmetric Learning (2023) (2)
ZARTS: On Zero-order Optimization for Neural Architecture Search (2021) (2)
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond (2022) (2)
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching (2020) (2)
A Max-Flow Based Approach for Neural Architecture Search (2022) (2)
Sparse Feature Learning for Visual Tracking by Least Absolute Shrinkage and Selection Operator (2011) (2)
Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation (2022) (2)
ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation. (2022) (2)
Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot (2022) (2)
Input-Specific Robustness Certification for Randomized Smoothing (2021) (2)
Opendenselane: A Dense Lidar-Based Dataset for HD Map Construction (2022) (2)
DAAS: Differentiable Architecture and Augmentation Policy Search (2021) (2)
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution (2023) (1)
Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process (2018) (1)
Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets (2016) (1)
Learning Deep Generative Clustering via Mutual Information Maximization. (2022) (1)
Learning Spectral Dictionary for Local Representation of Mesh (2021) (1)
Molecule Generation for Drug Design: a Graph Learning Perspective (2022) (1)
Hyper-Meta Reinforcement Learning with Sparse Reward (2020) (1)
Cognitive Visual Inspection Service for LCD Manufacturing Industry (2021) (1)
Music Plagiarism Detection via Bipartite Graph Matching (2021) (1)
Guest Editorial: Visual Multimedia Learning from Big Surveillance Data (2017) (1)
Permutation Matters: Anisotropic Convolutional Layer for Learning on Point Clouds (2020) (1)
Causality Learning from Time Series Data for the Industrial Finance Analysis via the Multi-dimensional Point Process (2020) (1)
Trajectory Prediction from EGO View: A Coordinate Transform and Tail-Light Event Driven Approach (2022) (1)
Melody Structure Transfer Network: Generating Music with Separable Self-Attention (2021) (1)
On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited (2022) (1)
DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation (2022) (1)
Explaining Point Processes by Learning Interpretable Temporal Logic Rules (2022) (1)
Learning Regularized Noise Contrastive Estimation for Robust Network Embedding (2023) (1)
Optimal LED Spectral Multiplexing for NIR2RGB Translation (2022) (1)
Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting (2022) (1)
Auto uning of price prediction models for high-frequency trading via reinforcement learning (2022) (1)
GraphQNTK: Quantum Neural Tangent Kernel for Graph Data (2022) (1)
Automatic Student Network Search for Knowledge Distillation (2021) (1)
Correction to: On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited (2022) (1)
Self-supervised Learning of Visual Graph Matching (2022) (1)
Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning (2019) (1)
DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness (2022) (1)
Negative-Unlabeled Tensor Factorization for Location Category Inference from Highly Inaccurate Mobility Data (2017) (1)
τ-FPL : Tolerance-Constrained Learning in Linear Time (2018) (1)
Maximizing Multi-scale Spatial Statistical Discrepancy (2014) (1)
Special issue on deep learning for intelligent sensing, decision-making and control (2019) (1)
DOTIN: Dropping Task-Irrelevant Nodes for GNNs (2022) (1)
Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization (2022) (0)
On Understanding and Mitigating the Dimensional Collapse of Graph Contrastive Learning: a Non-Maximum Removal Approach (2022) (0)
Distributionally Robust Learning for Uncertainty Calibration under Domain Shift (2020) (0)
Person re-identification fusing via ranking consensus (2015) (0)
Towards Better Understanding of Disentangled Representations via Mutual Information (2019) (0)
A Fractal-based CNN for Detecting Complicated Curves in AFM Images (2016) (0)
Monocular Visual Analysis for Electronic Line Calling of Tennis Games (2021) (0)
Deep Networks for Image-to-Image Prediction (2021) (0)
EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU (2022) (0)
Energy-based Out-of-Distribution Detection for Graph Neural Networks (2023) (0)
Rethinking Visual Prompt Learning as Masked Visual Token Modeling (2023) (0)
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks (2018) (0)
Toward More Robust Graph Matching : Models and Algorithms (2019) (0)
An Information Theoretic Perspective on Disentangled Representation Learning (2019) (0)
Recent progress and perspectives on quantum computing for finance (2022) (0)
MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization (2022) (0)
R-Tuning: Regularized Prompt Tuning in Open-Set Scenarios (2023) (0)
MANCE COLLAPSE WITHOUT INDICATORS (2020) (0)
MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning (2023) (0)
Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling (2023) (0)
Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain (2022) (0)
IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction (2016) (0)
Geometric-aware Pretraining for Vision-centric 3D Object Detection (2023) (0)
Self-supervised Disentangled Representation Learning (2020) (0)
Deep Networks for Image Motion Estimation (2019) (0)
Learning representation of heterogeneous temporal graphs for recommendation (2021) (0)
Discrete Hyper-graph Matching. Computer Vision and Pattern Recognition (2015) (0)
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm (2023) (0)
OS-LFFD: a light and fast face detector with Ommateum structure (2020) (0)
Collaborative Filtering with Stability (2018) (0)
End-to-end learning for image-based air quality level estimation (2018) (0)
Monocular 3D Human Pose Estimation via Sequential Second Order Cone Programming (2010) (0)
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning (2023) (0)
Unsupervised Learning of Graph Matching With Mixture of Modes Via Discrepancy Minimization. (2023) (0)
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design (2022) (0)
GSdyn: Learning training dynamics via online Gaussian optimization with gradient states (2021) (0)
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach (2022) (0)
Decoding Spiking Mechanism with Dynamic Learning on Neuron Population (2019) (0)
A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs (2021) (0)
How to Rank Vertices Based on Agony in Directed Social Networks (2023) (0)
HMRL (2021) (0)
Editorial (2019) (0)
FastDARTSDet: Fast Differentiable Architecture Joint Search on Backbone and FPN for Object Detection (2022) (0)
A two-stage scheme for multi-view human pose estimation (2010) (0)
Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications (2023) (0)
Guest Editorial: Visual Multimedia Learning from Big Surveillance Data (2017) (0)
Real-Trading-Oriented Price Prediction with Explainable Multi-objective Optimization in Quantitative Trading (2022) (0)
A Double-Layer Model for Foreground Detection from Video Sequence (2011) (0)
GraphCoCo: Graph Complementary Contrastive Learning (2022) (0)
2 Conditional Saliency 2 . 1 Lossy Coding (2010) (0)
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach (2023) (0)
CEP3: Community Event Prediction with Neural Point Process on Graph (2022) (0)
Progressive Context-Aware Graph Feature Learning for Target Re-Identification (2023) (0)
Deep Distributionally Robust Learning for Calibrated Uncertainties under Domain Shift (2021) (0)
IEEE Access Special Section: Sequential Data Modeling and Its Emerging Applications (2020) (0)
Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data (2019) (0)
EatingTrak (2022) (0)
ARS-DETR: Aspect Ratio Sensitive Oriented Object Detection with Transformer (2023) (0)
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space (2022) (0)
Prompt-based Zero-shot Video Moment Retrieval (2022) (0)
Learning Universe Model for Partial Matching Networks over Multiple Graphs (2022) (0)
Image Matching from Handcrafted to Deep Features: A Survey (2020) (0)
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline (2023) (0)
CoHOZ (2022) (0)
End-to-End Context-Aided Unicity Matching for Person Re-identification (2022) (0)
Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration (2013) (0)
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling (2022) (0)
Learning structured communication for multi-agent reinforcement learning (2022) (0)
Synergizing Local and Global Models for Matrix Approximation (2019) (0)
N ONLINEAR ICA USING V OLUME -P RESERVING T RANSFORMATIONS (2022) (0)
CoHOZ: Contrastive Multimodal Prompt Tuning for Hierarchical Open-set Zero-shot Recognition (2022) (0)
MMRotate (2022) (0)

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