Junchi Yan

111

Papers

1,030

Total Citations

Papers (111)

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision

CVPR 2024

citations

Theoretically Achieving Continuous Representation of Oriented Bounding Boxes

CVPR 2024

citations

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

AAAI 2024arXiv

citations

Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances

CVPR 2025arXiv

citations

Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning

AAAI 2025

citations

Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach

CVPR 2024

citations

Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search

ICLR 2025

citations

EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model

ICLR 2024

citations

Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation

ICLR 2025

citations

Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views

ICCV 2025

citations

QuanONet: Quantum Neural Operator with Application to Differential Equation

ICML 2025

citations

Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance

ICLR 2025

citations

SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs

ICLR 2025

citations

SelKD: Selective Knowledge Distillation via Optimal Transport Perspective

ICLR 2025

citations

Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning

ICML 2025

citations

Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction

CVPR 2025

citations

How Graph Neural Networks Learn: Lessons from Training Dynamics

ICML 2024

citations

Graph Out-of-Distribution Detection Goes Neighborhood Shaping

ICML 2024

citations

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation

CVPR 2017arXiv

citations

Joint Cuts and Matching of Partitions in One Graph

CVPR 2018arXiv

citations

Deep Spectral Clustering Using Dual Autoencoder Network

CVPR 2019

citations

Transferable AutoML by Model Sharing Over Grouped Datasets

CVPR 2019

citations

Towards Transferable Targeted Attack

CVPR 2020

citations

Determinant Regularization for Gradient-Efficient Graph Matching

CVPR 2020

citations

Learning Unseen Concepts via Hierarchical Decomposition and Composition

CVPR 2020

citations

SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network

CVPR 2021

citations

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

CVPR 2021arXiv

citations

Combinatorial Learning of Graph Edit Distance via Dynamic Embedding

CVPR 2021arXiv

citations

Generalizing Face Forgery Detection With High-Frequency Features

CVPR 2021arXiv

citations

Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB

CVPR 2021arXiv

citations

Object Localization Under Single Coarse Point Supervision

CVPR 2022arXiv

citations

Align Representations With Base: A New Approach to Self-Supervised Learning

CVPR 2022

citations

Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond

CVPR 2022

citations

Optimal LED Spectral Multiplexing for NIR2RGB Translation

CVPR 2022

citations

Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection

CVPR 2023

citations

Deep Learning of Partial Graph Matching via Differentiable Top-K

CVPR 2023

citations

Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving

CVPR 2023arXiv

citations

Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm

CVPR 2023arXiv

citations

A Matrix Decomposition Perspective to Multiple Graph Matching

ICCV 2015

citations

Person Re-Identification With Correspondence Structure Learning

ICCV 2015

citations

Learning Combinatorial Embedding Networks for Deep Graph Matching

ICCV 2019

citations

Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query

ICCV 2019

citations

SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

ICCV 2019

citations

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation

ICCV 2023arXiv

citations

RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments

CVPR 2025

citations

Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model

ECCV 2020

citations

AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning

ECCV 2020

citations

Discriminative Partial Domain Adversarial Network

ECCV 2020

citations

StyleFace: Towards Identity-Disentangled Face Generation on Megapixels

ECCV 2022

citations

EAutoDet: Efficient Architecture Search for Object Detection

ECCV 2022

citations

A Max-Flow Based Approach for Neural Architecture Search

ECCV 2022

citations

Self-Supervised Learning of Visual Graph Matching

ECCV 2022

citations

Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling

ECCV 2022

citations

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning

ECCV 2022

citations

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark

ECCV 2022

citations

DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving

ICCV 2023arXiv

citations

Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters

CVPR 2025

citations

UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection

CVPR 2025

citations

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning

ICCV 2025

citations

Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning

ICCV 2025

citations

GeoFormer: Geometry Point Encoder for 3D Object Detection with Graph-based Transformer

ICCV 2025

citations

FreqPDE: Rethinking Positional Depth Embedding for Multi-View 3D Object Detection Transformers

ICCV 2025

citations

Optimal Control Operator Perspective and a Neural Adaptive Spectral Method

AAAI 2025

citations

ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization

AAAI 2024

citations

Double-Bounded Optimal Transport for Advanced Clustering and Classification

AAAI 2024

citations

Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning

CVPR 2024

citations

Grounding and Enhancing Grid-based Models for Neural Fields

CVPR 2024

citations

HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs

ICML 2025

citations

ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation

ICML 2024

citations

SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification

ICML 2024

citations

OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport

ICML 2024

citations

MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness

ICML 2024

citations

UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis

ICML 2024

citations

On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm

ICML 2024

citations

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation

ICML 2024

citations

Learning Divergence Fields for Shift-Robust Graph Representations

ICML 2024

citations

Generalizing Graph Matching beyond Quadratic Assignment Model

NeurIPS 2018

citations

Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling

NeurIPS 2019

citations

Adversarial Learning for Robust Deep Clustering

NeurIPS 2020

citations

The Diversified Ensemble Neural Network

NeurIPS 2020

citations

Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning

NeurIPS 2020

citations

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

NeurIPS 2021arXiv

citations

On Joint Learning for Solving Placement and Routing in Chip Design

NeurIPS 2021

citations

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

NeurIPS 2021

citations

Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach

NeurIPS 2021

citations

A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs

NeurIPS 2021

citations

GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction

NeurIPS 2021

citations

Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain

NeurIPS 2022

citations

GraphQNTK: Quantum Neural Tangent Kernel for Graph Data

NeurIPS 2022

citations

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

NeurIPS 2022

citations

Improving Generative Adversarial Networks via Adversarial Learning in Latent Space

NeurIPS 2022

citations

ZARTS: On Zero-order Optimization for Neural Architecture Search

NeurIPS 2022

citations

Learning Substructure Invariance for Out-of-Distribution Molecular Representations

NeurIPS 2022

citations

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment

NeurIPS 2022

citations

The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design

NeurIPS 2022

citations

NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification

NeurIPS 2022

citations

Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks

NeurIPS 2022

citations

GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs

NeurIPS 2022

citations

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping

NeurIPS 2023

citations

Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification

NeurIPS 2023

citations

T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization

NeurIPS 2023

citations

H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection

NeurIPS 2023

citations

Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity

NeurIPS 2023

citations

SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations

NeurIPS 2023

citations

HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection

NeurIPS 2023

citations

Low-Rank Matrix Approximation with Stability

ICML 2016

citations

Junchi Yan

Papers (111)

Arbitrary-Oriented Object Detection with Circular Smooth Label

Wasserstein Learning of Deep Generative Point Process Models

Discrete Hyper-Graph Matching

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving

PointOBB: Learning Oriented Object Detection via Single Point Supervision

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision

Theoretically Achieving Continuous Representation of Oriented Bounding Boxes

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances

Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning

Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach

Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search

EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model

Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation

Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views

QuanONet: Quantum Neural Operator with Application to Differential Equation

Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance

SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs

SelKD: Selective Knowledge Distillation via Optimal Transport Perspective

Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning

Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction

How Graph Neural Networks Learn: Lessons from Training Dynamics

Graph Out-of-Distribution Detection Goes Neighborhood Shaping

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation

Joint Cuts and Matching of Partitions in One Graph

Deep Spectral Clustering Using Dual Autoencoder Network

Transferable AutoML by Model Sharing Over Grouped Datasets

Towards Transferable Targeted Attack

Determinant Regularization for Gradient-Efficient Graph Matching

Learning Unseen Concepts via Hierarchical Decomposition and Composition

SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

Combinatorial Learning of Graph Edit Distance via Dynamic Embedding

Generalizing Face Forgery Detection With High-Frequency Features

Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB

Object Localization Under Single Coarse Point Supervision

Align Representations With Base: A New Approach to Self-Supervised Learning

Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond

Optimal LED Spectral Multiplexing for NIR2RGB Translation

Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection

Deep Learning of Partial Graph Matching via Differentiable Top-K

Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving

Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm

A Matrix Decomposition Perspective to Multiple Graph Matching

Person Re-Identification With Correspondence Structure Learning

Learning Combinatorial Embedding Networks for Deep Graph Matching

Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query

SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation

RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments

Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model

AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning

Discriminative Partial Domain Adversarial Network

StyleFace: Towards Identity-Disentangled Face Generation on Megapixels

EAutoDet: Efficient Architecture Search for Object Detection

A Max-Flow Based Approach for Neural Architecture Search

Self-Supervised Learning of Visual Graph Matching

Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark

DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving

Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters

UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning

Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning

GeoFormer: Geometry Point Encoder for 3D Object Detection with Graph-based Transformer

FreqPDE: Rethinking Positional Depth Embedding for Multi-View 3D Object Detection Transformers

Optimal Control Operator Perspective and a Neural Adaptive Spectral Method

ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization

Double-Bounded Optimal Transport for Advanced Clustering and Classification

Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning

Grounding and Enhancing Grid-based Models for Neural Fields

HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs

ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation

SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification

OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport

MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness

UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis