Junchi Yan

发表

Learning Conditional Generative Models for Temporal Point Processes

Le Song, Hongyuan Zha, Junchi Yan, 2018, AAAI.

Recent Advance in Temporal Point Process : from Machine Learning Perspective

Junchi Yan, 2019 .

Visual Saliency Detection via Sparsity Pursuit

Junchi Yan, Yuncai Liu, Huanxi Liu, 2010, IEEE Signal Processing Letters.

MANCE COLLAPSE WITHOUT INDICATORS

Junchi Yan, Bo Zhang, Xiangxiang Chu, 2020 .

Human Gait Recognition by Integrating Motion Feature and Shape Feature

Junchi Yan, Bing Sun, Junchi Yan, 2010, ICMT 2010.

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization

Junchi Yan, Wujiang Xu, Shaoshuai Li, 2022, ArXiv.

Self-Paced MultiTask Learning

Junchi Yan, H. Zha, Qingshan Liu, 2017 .

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

Junchi Yan, Hongbin Shen, Xiaoyong Pan, 2017, BMC Genomics.

Arbitrary-Oriented Object Detection with Circular Smooth Label

Junchi Yan, Xue Yang, 2020, ECCV.

Toward More Robust Graph Matching : Models and Algorithms

Junchi Yan, Junchi Yan, 2019 .

Negative-Unlabeled Tensor Factorization for Location Category Inference from Highly Inaccurate Mobility Data

Wesley M. Gifford, Ji Liu, Junchi Yan, 2017 .

DOTIN: Dropping Task-Irrelevant Nodes for GNNs

Junchi Yan, Feng Zhu, Rui Zhao, 2022, ArXiv.

A Deep Learning Approach with Feature Derivation and Selection for Overdue Repayment Forecasting

Guofu Li, Hongyuan Zha, Junchi Yan, 2020, Applied Sciences.

IEEE Access Special Section: Sequential Data Modeling and Its Emerging Applications

Changsheng Li, Junchi Yan, Chao Ma, 2020, IEEE Access.

2 Conditional Saliency 2 . 1 Lossy Coding

Junchi Yan, Yue Zhou, Jie Yang, 2010 .

The Diversified Ensemble Neural Network

Junchi Yan, Shaofeng Zhang, Meng Liu, 2020, NeurIPS.

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

Junchi Yan, Ning Zhang, Junchi Yan, 2020, ECCV.

A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs

Junchi Yan, Xiaokang Yang, Han Lu, 2021, 2201.00402.

On Collective Robustness of Bagging Against Data Poisoning

Junchi Yan, Jie Li, Chentao Wu, 2022, ICML.

A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting

Stephen M. Chu, Junchi Yan, Xiaokang Yang, 2015, ArXiv.

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

Junchi Yan, Hongyang Li, Xiaosong Jia, 2022, 2206.08129.

Optimal LED Spectral Multiplexing for NIR2RGB Translation

Junchi Yan, Yinqiang Zheng, Yuze Chen, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

CEP3: Community Event Prediction with Neural Point Process on Graph

Minjie Wang, Junchi Yan, Yupu Yang, 2022, LoG.

Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling

Junchi Yan, S. Gong, Guile Wu, 2022, ArXiv.

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

Junchi Yan, Runzhong Wang, Qibing Ren, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

On Understanding and Mitigating the Dimensional Collapse of Graph Contrastive Learning: a Non-Maximum Removal Approach

Junchi Yan, Jie Li, Chentao Wu, 2022, 2203.12821.

Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction

Rui Zhang, Hongyuan Zha, Junchi Yan, 2020, IEEE Transactions on Knowledge and Data Engineering.

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

Junchi Yan, Feng Zhu, Rui Zhao, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MMRotate: A Rotated Object Detection Benchmark using PyTorch

Junchi Yan, Jiabao Wang, Xue Yang, 2022, ACM Multimedia.

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

Junchi Yan, Xiaokang Yang, Jin Tang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Junchi Yan, Hongyang Li, Dacheng Tao, 2022, ECCV.

N ONLINEAR ICA USING V OLUME -P RESERVING T RANSFORMATIONS

Junchi Yan, Yi Wang, Xingzhi Zhang, 2022 .

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching

Junchi Yan, P. Lu, Chang Liu, 2020, 2012.08950.

Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach

Junchi Yan, Yehui Tang, Ge Yan, 2022, KDD.

DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness

Junchi Yan, Qitian Wu, Qibing Ren, 2022, KDD.

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

Junchi Yan, Hongyang Li, Xiaosong Jia, 2022, ArXiv.

Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling

Junchi Yan, S. Gong, Fei Yang, 2022, ECCV.

Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation

Junchi Yan, Xinyu Yang, Qitian Wu, 2022, KDD.

M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning

Junchi Yan, P. Lu, Xiaokang Yang, 2022, KDD.

Recent progress and perspectives on quantum computing for finance

Junchi Yan, Yehui Tang, Guoqiang Hu, 2022, Service Oriented Computing and Applications.

Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering

Junchi Yan, Xiaolu Zhang, Xiaokang Yang, 2022, IJCAI.

Editorial

Gui-Song Xia, Junchi Yan, Francesc Serratosa, 2019, Pattern Recognit. Lett..

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

Junchi Yan, Hongyang Li, Xiaosong Jia, 2022, NeurIPS.

FastDARTSDet: Fast Differentiable Architecture Joint Search on Backbone and FPN for Object Detection

Junchi Yan, Xiaoxing Wang, Tao He, 2022, Applied Sciences.

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe

Junchi Yan, Jifeng Dai, Dahua Lin, 2022, ArXiv.

Real-Trading-Oriented Price Prediction with Explainable Multi-objective Optimization in Quantitative Trading

Junchi Yan, Yunan Zhao, Xingbo Du, 2022, IEEE Access.

Discrete Hyper-graph Matching. Computer Vision and Pattern Recognition

Chao Zhang, Hongyuan Zha, Junchi Yan, 2015 .

CoHOZ: Contrastive Multimodal Prompt Tuning for Hierarchical Open-set Zero-shot Recognition

Junchi Yan, Xiansheng Hua, Yifeng Liu, 2022, ACM Multimedia.

Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning

Junchi Yan, Li Shen, Li Shen, 2022, ICML.

Detecting Rotated Objects as Gaussian Distributions and its 3-D Generalization

Junchi Yan, Yue Zhou, Xue Yang, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Prompt-based Zero-shot Video Moment Retrieval

Junchi Yan, Guolong Wang, Xun Wu, 2022, ACM Multimedia.

End-to-End Context-Aided Unicity Matching for Person Re-identification

Junchi Yan, Yinqiang Zheng, Chen Chen, 2022, ArXiv.

Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks

Junchi Yan, Qitian Wu, Chenxiao Yang, 2022, 2210.13014.

Self-supervised Learning of Visual Graph Matching

Junchi Yan, Xiaokang Yang, Shaofeng Zhang, 2022, ECCV.

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

Junchi Yan, Qitian Wu, Qingsong Wen, 2022, ArXiv.

BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding

Junchi Yan, Hao Xiong, Junchi Yan, 2022, IEEE Transactions on Knowledge and Data Engineering.

The KFIoU Loss for Rotated Object Detection

Junchi Yan, Xiaopeng Zhang, Q. Tian, 2022, ArXiv.

Learning structured communication for multi-agent reinforcement learning

Junchi Yan, H. Zha, Wenhao Li, 2022, Autonomous Agents and Multi-Agent Systems.

Image Matching from Handcrafted to Deep Features: A Survey

Junchi Yan, Jiayi Ma, Junjun Jiang, 2020, International Journal of Computer Vision.

Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach

Junchi Yan, Haoxu Wang, 2022, ArXiv.

EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU

Junchi Yan, Seyun Kim, Jihai Zhang, 2022, Proc. ACM Hum. Comput. Interact..

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning pdf

Hongyuan Zha, Xiangfeng Wang, Bo Jin, 2020, ArXiv.

Transformers in Time Series: A Survey

Junchi Yan, Tian Zhou, Qingsong Wen, 2022, IJCAI.

A Self-Paced Regularization Framework for Multilabel Learning

Qingshan Liu, Changsheng Li, Xiaoyu Zhang, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Self-Paced Multi-Task Learning

Changsheng Li, Qingshan Liu, Hongyuan Zha, 2016, AAAI.

Hyper-Meta Reinforcement Learning with Sparse Reward pdf

Hongyuan Zha, Xiaofeng He, Xiangfeng Wang, 2020, ArXiv.

Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB

Junchi Yan, Xiaoping Zhou, Bo Sun, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Visual Saliency Based on Conditional Entropy

Yin Li, Jie Yang, Junchi Yan, 2009, ACCV.

Joint Active Learning with Feature Selection via CUR Matrix Decomposition

Qingshan Liu, Changsheng Li, Hongyuan Zha, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Spatially Regularized Streaming Sensor Selection

Xin Zhang, Changsheng Li, Qingshan Liu, 2016, AAAI.

A Matrix Decomposition Perspective to Multiple Graph Matching

Hongyuan Zha, Junchi Yan, Xiaokang Yang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Active Sample Learning and Feature Selection: A Unified Approach pdf

Changsheng Li, Qingshan Liu, Hongyuan Zha, 2015, ArXiv.

Visual saliency detection via rank-sparsity decomposition

Jian Liu, Yin Li, Junchi Yan, 2010, 2010 IEEE International Conference on Image Processing.

Tensor error correction for corrupted values in visual data

Xiangjian He, Yin Li, Jie Yang, 2010, 2010 IEEE International Conference on Image Processing.

Image Matching from Handcrafted to Deep Features: A Survey

Junjun Jiang, Junchi Yan, Jiayi Ma, 2020, International Journal of Computer Vision.

Learning Neural Hamiltonian Dynamics: A Methodological Overview

Junchi Yan, H. Zha, Zhijie Chen, 2022, ArXiv.

A hybrid approach for risk assessment of loan guarantee network pdf

Liqing Zhang, Hongyuan Zha, Junchi Yan, 2017, ArXiv.

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

Hong-Bin Shen, Junchi Yan, Yong-Xian Fan, 2016, BMC Genomics.

Graph Convolutional Network Hashing for Cross-Modal Retrieval

Xianglong Liu, Cheng Deng, Junchi Yan, 2019, IJCAI.

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

Junchi Yan, Xiaokang Yang, Dongsheng Li, 2022, IEEE Transactions on Knowledge and Data Engineering.

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

Junchi Yan, Hongbin Shen, Xiaoyong Pan, 2017, bioRxiv.

Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs

Junchi Yan, Qitian Wu, Jiahua Wang, 2022, ArXiv.

A Survey for Solving Mixed Integer Programming via Machine Learning

Junchi Yan, Jiayi Zhang, Hui-Ling Zhen, 2022, Neurocomputing.

Machine Learning Methods in Solving the Boolean Satisfiability Problem

Junchi Yan, Yaohui Jin, Wenxuan Guo, 2022, Machine Intelligence Research.

Unsupervised Deep Learning for Optical Flow Estimation

Bingbing Ni, Bin Liu, Hongyuan Zha, 2017, AAAI.

Learning Local Neighboring Structure for Robust 3D Shape Representation

Junchi Yan, Xiaokang Yang, Guangtao Zhai, 2020, AAAI.

Learning Unseen Concepts via Hierarchical Decomposition and Composition

Dacheng Tao, Xianglong Liu, Junchi Yan, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Junchi Yan, Xiaokang Yang, Runzhong Wang, 2021, NeurIPS.

Transformers in Time Series: A Survey

Junchi Yan, Qingsong Wen, Liang Sun, 2022, ArXiv.

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

Junchi Yan, Qitian Wu, Qingsong Wen, 2022, NeurIPS.

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object pdf

Junchi Yan, Ang Li, Qingqing Liu, 2019, AAAI.

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

Yue Zhang, Junchi Yan, Xue Yang, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

ARS-DETR: Aspect Ratio Sensitive Oriented Object Detection with Transformer

Junchi Yan, Xue Yang, Ying Zeng, 2023, ArXiv.

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

Junchi Yan, Xue Yang, Xuehui Wang, 2022, ICLR.

The KFIoU Loss for Rotated Object Detection

Junchi Yan, Xiaopeng Zhang, Q. Tian, 2022, ICLR.

RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection pdf

Silong Peng, Wen Qian, Junchi Yan, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited

Junchi Yan, Xue Yang, Tao He, 2020, International Journal of Computer Vision.

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

Junchi Yan, Qi Tian, Xue Yang, 2021, NeurIPS.

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

Junchi Yan, Qi Tian, Xiaopeng Zhang, 2021, ICML.

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

Junchi Yan, Yue Zhou, Xue Yang, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

From Quantum Graph Computing to Quantum Graph Learning: A Survey

Junchi Yan, Yehui Tang, Hancock Edwin, 2022, ArXiv.

Decompositional Quantum Graph Neural Network pdf

Junchi Yan, Xing Ai, Zhihong Zhang, 2022, ArXiv.

Sales pipeline win propensity prediction: A regression approach

Junchi Yan, Jin Huang, Min Gong, 2015, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM).

Rethinking Visual Prompt Learning as Masked Visual Token Modeling

Junchi Yan, Xiaopeng Zhang, Bowen Shi, 2023, ArXiv.

On Machine Learning towards Predictive Sales Pipeline Analytics

Hongyuan Zha, Junchi Yan, Xiaokang Yang, 2015, AAAI.

Molecule Generation for Drug Design: a Graph Learning Perspective

Junchi Yan, Xiaoyong Pan, Ye Yuan, 2022, ArXiv.

Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach

Junchi Yan, Zhihong Zhang, Edwin R. Hancock, 2023 .

EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning

Junchi Yan, Xiaokang Yang, Chao Chen, 2023, ArXiv.

Handling Distribution Shifts on Graphs: An Invariance Perspective

Junchi Yan, D. Wipf, Qitian Wu, 2022, ICLR.

Learning for Graph Matching and Related Combinatorial Optimization Problems

Edwin R. Hancock, Junchi Yan, Shuang Yang, 2020, IJCAI.

Neural Graph Matching Network: Learning Lawler’s Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching

Junchi Yan, Xiaokang Yang, Runzhong Wang, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach

Junchi Yan, Xiaokang Yang, Runzhong Wang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Combinatorial Embedding Networks for Deep Graph Matching

Junchi Yan, Xiaokang Yang, Runzhong Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution

Junchi Yan, Xiaokang Yang, Chao Chen, 2023, ICLR.

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation

Xiaokang Yang, Jianping Yu, Junchi Yan, 2022, ICML.

Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach

Junchi Yan, H. Zha, Qitian Wu, 2020, ICML.

MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning

Junchi Yan, Qitian Wu, Nianzu Yang, 2023, WWW.

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks pdf

Junchi Yan, David Wipf, Qitian Wu, 2021, NeurIPS.

Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning

Junchi Yan, Xiaokang Yang, Dongsheng Li, 2021, AAAI.

Deep Extreme Multi-label Learning

Hongyuan Zha, Xiangfeng Wang, Junchi Yan, 2017, ICMR.

Optimum Subspace Learning and Error Correction for Tensors

Yin Li, Jie Yang, Junchi Yan, 2010, ECCV.

Adversarial Learning for Robust Deep Clustering

Junchi Yan, Wei Liu, Xu Yang, 2020, NeurIPS.

Deep Spectral Clustering Using Dual Autoencoder Network

Wei Liu, Xu Yang, Cheng Deng, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation

Jianyong Wang, Zeyuan Chen, Wei Zhang, 2021, CIKM.

On Modeling and Predicting Individual Paper Citation Count over Time

Changsheng Li, Hongyuan Zha, Xiangfeng Wang, 2016, IJCAI.

A Short Survey of Recent Advances in Graph Matching

Hongyuan Zha, Weiyao Lin, Cheng Deng, 2016, ICMR.

Learning Sequential Correlation for User Generated Textual Content Popularity Prediction

Wei Zhang, Jun Wang, Wen Wang, 2018, IJCAI.

Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting

Yaohui Jin, Junchi Yan, Xiaokang Yang, 2019, IJCAI.

Generalizing Face Forgery Detection with High-frequency Features

Junchi Yan, Wei Liu, Yong Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning

Junchi Yan, Qitian Wu, Nianzu Yang, 2023, The Web Conference.

Modeling the Intensity Function of Point Process Via Recurrent Neural Networks pdf

Hongyuan Zha, Junchi Yan, Xiaokang Yang, 2017, AAAI.

NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification

Junchi Yan, D. Wipf, Wentao Zhao, 2023, NeurIPS.

Learning Substructure Invariance for Out-of-Distribution Molecular Representations

Junchi Yan, Xiaosong Jia, Qitian Wu, 2022, NeurIPS.

Wasserstein Learning of Deep Generative Point Process Models

Le Song, Hongyuan Zha, Junchi Yan, 2017, NIPS.

H2RBox-v2: Boosting HBox-supervised Oriented Object Detection via Symmetric Learning

Junchi Yan, Yi Yu, Xue Yang, 2023, ArXiv.

R-Tuning: Regularized Prompt Tuning in Open-Set Scenarios

Junchi Yan, Xiaopeng Zhang, Minglu Cao, 2023, ArXiv.

Geometric-aware Pretraining for Vision-centric 3D Object Detection

Junchi Yan, Liujuan Cao, Hongyang Li, 2023, ArXiv.

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

Junchi Yan, Conghui He, Hongyang Li, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning

Junchi Yan, Feng Zhu, Rui Zhao, 2022, ICLR.

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

Cheng Deng, Junchi Yan, Dacheng Tao, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Junchi Yan, Conghui He, Jianping Shi, 2022, ECCV.

StyleFace: Towards Identity-Disentangled Face Generation on Megapixels

Junchi Yan, Ying Tai, Chengjie Wang, 2022, ECCV.

Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling

Junchi Yan, Y. Qiao, Hongyang Li, 2023, ICLR.

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding

Junchi Yan, Hongyang Li, Li Chen, 2022, ArXiv.

Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach

Junchi Yan, Hongyang Li, Xiaosong Jia, 2022, CoRL.

Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling

Junchi Yan, Y. Qiao, Hongyang Li, 2023, ArXiv.

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

Junchi Yan, Yi Yu, Xue Yang, 2023, 2304.04403.

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators

Junchi Yan, Xiangxiang Chu, Xiaoxing Wang, 2020, ICLR.

Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment

Junchi Yan, Zheng Qin, Guolong Wang, 2018, IJCAI.

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

Junchi Yan, M. Tomizuka, W. Zhan, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Robust Mesh Representation Learning via Efficient Local Structure-Aware Anisotropic Convolution

Junchi Yan, Xiaokang Yang, Guangtao Zhai, 2022, IEEE Transactions on Neural Networks and Learning Systems.

UniRE: A Unified Label Space for Entity Relation Extraction pdf

Yuanbin Wu, Lei Li, Hao Zhou, 2021, ACL.

Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos

Qi Wang, Junchi Yan, Chang Wen Chen, 2020, Neurocomputing.

Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder

Yaohui Jin, Junchi Yan, Haiyang Wang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion

Junchi Yan, David Wipf, Qitian Wu, 2023, arXiv.org.

Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks

Junchi Yan, Qitian Wu, Chenxiao Yang, 2022, NeurIPS.

On Joint Learning for Solving Placement and Routing in Chip Design pdf

Junchi Yan, Ruoyu Cheng, Junchi Yan, 2021, NeurIPS.

A Max-Flow Based Approach for Neural Architecture Search

Junchi Yan, Xiaoxing Wang, Chao Xue, 2022, ECCV.

Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective

Junchi Yan, Xiaokang Yang, Kewei Sun, 2021, AAAI.

EAutoDet: Efficient Architecture Search for Object Detection

Junchi Yan, Juanping Zhao, Xiaoxing Wang, 2022, ECCV.

Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series

Junchi Yan, Yaohui Jin, Xiaokang Yang, 2023, IEEE Transactions on Knowledge and Data Engineering.

Energy-based Out-of-Distribution Detection for Graph Neural Networks

Junchi Yan, Qitian Wu, Chenxiao Yang, 2023, ICLR.

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

Junchi Yan, Qitian Wu, Zenan Li, 2022, NeurIPS.

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

Qitian Wu, Junchi Yan, Chenxiao Yang, 2021, NeurIPS.

ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation.

Junchi Yan, Yunan Zhao, Bing Han, 2022, IEEE transactions on neural networks and learning systems.

AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning

Hongyuan Zha, Junchi Yan, Jianchao Zhu, 2020, ECCV.

Layered Neighborhood Expansion for Incremental Multiple Graph Matching

Junchi Yan, Xiaokang Yang, Yinqiang Zheng, 2020, European Conference on Computer Vision.

PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds pdf

Junchi Yan, Xiaokang Yang, Guangtao Zhai, 2020, ArXiv.

Towards Transferable Targeted Attack

Cheng Deng, Junchi Yan, Heng Huang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Correspondence Structures for Person Re-Identification

Ke Lu, Jianxin Wu, Jingdong Wang, 2017, IEEE Transactions on Image Processing.

Transferable AutoML by Model Sharing Over Grouped Datasets

Yonggang Hu, Rong Yan, Junchi Yan, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Opendenselane: A Dense Lidar-Based Dataset for HD Map Construction

Junchi Yan, B. Liu, Wenlong Liao, 2022, 2022 IEEE International Conference on Multimedia and Expo (ICME).

Joint Cuts and Matching of Partitions in One Graph

Baoxin Li, Junchi Yan, Tianshu Yu, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Nonlinear ICA Using Volume-Preserving Transformations

Junchi Yan, Yi Wang, Zhenguo Li, 2022, ICLR.

TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics

Yaohui Jin, Junchi Yan, Hao He, 2019, IJCAI.

Self-SAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network

Cheng Deng, Zhiyuan Dang, Junchi Yan, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot

Junchi Yan, Hongyang Li, Yang Li, 2022, ArXiv.

Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval

Wei Liu, Xinbo Gao, Xu Tang, 2016, IEEE Transactions on Multimedia.

Pre-training Entity Relation Encoder with Intra-span and Inter-span Information

Yijun Wang, Guotong Xie, Peng Gao, 2020, EMNLP.

Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective

Junchi Yan, D. Wipf, Qitian Wu, 2022, ArXiv.

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem

Hongyuan Zha, Xiangfeng Wang, Junchi Yan, 2020, KDD.

Object Localization under Single Coarse Point Supervision

Junchi Yan, Humphrey Shi, Qixiang Ye, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Early Air Pollution Forecasting as a Service: An Ensemble Learning Approach

Xiaoguang Rui, Junchi Yan, Feng Sun, 2017, 2017 IEEE International Conference on Web Services (ICWS).

Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs

Junchi Yan, Qitian Wu, Jiahua Wang, 2022, arXiv.org.

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion

Junchi Yan, David Wipf, Qitian Wu, 2023, ICLR.

MergeNAS: Merge Operations into One for Differentiable Architecture Search

Yonggang Hu, Junchi Yan, Xiaokang Yang, 2020, IJCAI.

Learning Time Series Associated Event Sequences With Recurrent Point Process Networks

Le Song, Hongyuan Zha, Junchi Yan, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks pdf

Le Song, Hongyuan Zha, Junchi Yan, 2017, ArXiv.

Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection

Kai Chen, Wenjun Zhang, Hongyuan Zha, 2016, IEEE Access.

Modeling and Applications for Temporal Point Processes

Junchi Yan, Hongteng Xu, Liangda Li, 2019, KDD.

Distributionally Robust Learning for Uncertainty Calibration under Domain Shift

Anima Anandkumar, Junchi Yan, Anqi Liu, 2020, 2010.05784.

Deep Distributionally Robust Learning for Calibrated Uncertainties under Domain Shift

Anima Anandkumar, Junchi Yan, Anqi Liu, 2021 .

Decoupled Learning for Factorial Marked Temporal Point Processes

Hongyuan Zha, Junchi Yan, Xiaokang Yang, 2018, KDD.

Learning Spectral Dictionary for Local Representation of Mesh

Guangtao Zhai, Xiaokang Yang, Junchi Yan, 2021, IJCAI.

Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering pdf

Hongyuan Zha, Junchi Yan, Xiaokang Yang, 2019, ArXiv.

Auto uning of price prediction models for high-frequency trading via reinforcement learning

Junchi Yan, Xiaokang Yang, Guofu Li, 2022, Pattern Recognit..

Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting

Junchi Yan, Yunhao Zhang, 2023, ICLR.

Personalized Key Frame Recommendation

Yongfeng Zhang, Junchi Yan, Qingyao Ai, 2017, SIGIR.

Discriminative Partial Domain Adversarial Network

Henry Leung, Junchi Yan, Jian Hu, 2020, ECCV.

Learning deep graph matching with channel-independent embedding and Hungarian attention

Baoxin Li, Junchi Yan, Runzhong Wang, 2020, ICLR.

On Estimating Air Pollution from Photos Using Convolutional Neural Network

Changsheng Li, Liang Liu, Xiaoguang Rui, 2016, ACM Multimedia.

Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization

Hongyuan Zha, Junchi Yan, Xiaokang Yang, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation

Hongyuan Zha, Weiyao Lin, Junchi Yan, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting

Yaohui Jin, Junchi Yan, Guangjian Tian, 2021, AAAI.

Causality Learning from Time Series Data for the Industrial Finance Analysis via the Multi-dimensional Point Process

Junchi Yan, Liangliang Shi, Peili Lu, 2020, Intelligent Automation and Soft Computing.

Decoding Spiking Mechanism with Dynamic Learning on Neuron Population pdf

Junchi Yan, Xiaokang Yang, Longyuan Li, 2019, ArXiv.

OS-LFFD: a light and fast face detector with Ommateum structure

Lifang Wu, Junchi Yan, Liang Zhao, 2020, Multimedia Tools and Applications.

Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection

Junchi Yan, Yong-Xian Fan, Xiaoyong Pan, 2014, Comput. Biol. Chem..

Learning Regularized Noise Contrastive Estimation for Robust Network Embedding

Junchi Yan, Zengfeng Huang, Hao Xiong, 2023, IEEE Transactions on Knowledge and Data Engineering.

C ONTEXTUAL I MAGE M ASKING M ODELING VIA S YN - ERGIZED C ONTRASTING WITHOUT V IEW A UGMENTA - TION FOR F ASTER AND B ETTER V ISUAL P RETRAINING

Junchi Yan, Feng Zhu, Shaofeng Zhang, 2023 .

Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior

Changsheng Li, Hongyuan Zha, Xiangfeng Wang, 2016, IJCAI.

Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach

Jun Wang, Hongyuan Zha, Junchi Yan, 2015, IEEE Transactions on Image Processing.

Graduated Consistency-Regularized Optimization for Multi-graph Matching

Wei Liu, Yin Li, Hongyuan Zha, 2014, ECCV.

Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination

Junchi Yan, Qitian Wu, Tianqi Zhang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Deep Reinforcement Learning of Graph Matching

Junchi Yan, Runzhong Wang, Zetian Jiang, 2020, ArXiv.

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching

Junchi Yan, P. Lu, Lingxiao Huang, 2020, ICLR.

Combinatorial Learning of Graph Edit Distance via Dynamic Embedding pdf

Junchi Yan, Xiaokang Yang, Runzhong Wang, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph

Junchi Yan, Tianzhe Wang, Zetian Jiang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Junchi Yan, Xiaokang Yang, Runzhong Wang, 2020, NeurIPS.

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

Tianjun Xiao, Junchi Yan, D. Wipf, 2021, NeurIPS.

Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting

Junchi Yan, Jie Bao, Yaohui Jin, 2023, IEEE Transactions on Knowledge and Data Engineering.

On Predictive Patent Valuation: Forecasting Patent Citations and Their Types

Xin Liu, Hongyuan Zha, Xiangfeng Wang, 2017, AAAI.

Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem

Xiangfeng Wang, Bo Jin, Junchi Yan, 2019, IEEE Transactions on Cybernetics.

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing

Wojciech Matusik, Joshua B. Tenenbaum, Antonio Torralba, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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

Junchi Yan, Qibing Ren, Yiting Chen, 2022, Neural Information Processing Systems.

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding

Junchi Yan, Hongyang Li, Xiaosong Jia, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Junchi Yan, Hongyang Li, Xiaosong Jia, 2023, 2308.00398.

Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks

Guotong Xie, Peng Gao, Zheng Li, 2019, EMNLP.

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization

Junchi Yan, Wujiang Xu, Shaoshuai Li, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Networks for Image-to-Image Prediction

Junchi Yan, Xiaokang Yang, H. Zha, 2021 .

ZARTS: On Zero-order Optimization for Neural Architecture Search

Junchi Yan, Xiaokang Yang, Jianlin Su, 2021, NeurIPS.

GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks

Junchi Yan, Wentao Zhao, Qitian Wu, 2023, KDD.

A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories

Jianxin Wu, Zicheng Liu, Weiyao Lin, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Universe Model for Partial Matching Networks over Multiple Graphs

Junchi Yan, Jia-Xi Lu, Zetian Jiang, 2022, ArXiv.

STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels

Wenhan Luo, Hongyuan Zha, Zhe Ren, 2020, IEEE Transactions on Image Processing.

Unsupervised learning of optical flow with patch consistency and occlusion estimation

Hongyuan Zha, Zhe Ren, Junchi Yan, 2020, Pattern Recognit..

Learning structured communication for multi-agent reinforcement learning pdf

Hongyuan Zha, Xiangfeng Wang, Bo Jin, 2020, Autonomous Agents and Multi-Agent Systems.

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

Junchi Yan, Qitian Wu, Chenxiao Yang, 2021, NeurIPS.

Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning pdf

Long Chen, Junchi Yan, Xuehui Wang, 2020, ACCV.

Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming

Chun Yang, Junchi Yan, Xu-Cheng Yin, 2017, IEEE Transactions on Image Processing.

Learning for Graph Matching and Related Combinatorial Optimization Problems

Junchi Yan, E. Hancock, Shuang Yang, 2020, IJCAI.

Deep Learning of Partial Graph Matching via Differentiable Top-K

Junchi Yan, Xiaokang Yang, Runzhong Wang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Discrete hyper-graph matching

Wei Liu, Hongyuan Zha, Junchi Yan, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Melody Structure Transfer Network: Generating Music with Separable Self-Attention pdf

Ning Zhang, Junchi Yan, Junchi Yan, 2021, ArXiv.

Permutation Matters: Anisotropic Convolutional Layer for Learning on Point Clouds

Junchi Yan, Xiaokang Yang, Guangtao Zhai, 2020, 2005.13135.

EatingTrak

Junchi Yan, Jihai Zhang, Ruidong Zhang, 2022, Proceedings of the ACM on Human-Computer Interaction.

Joint Link Prediction and Network Alignment via Cross-graph Embedding

Hongyuan Zha, Junchi Yan, Xingbo Du, 2019, IJCAI.

An Optimization Based Framework for Human Pose Estimation

Yin Li, Junchi Yan, Yuncai Liu, 2010, IEEE Signal Processing Letters.

DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation

Junchi Yan, Xiaokang Yang, Guangtao Zhai, 2022, ArXiv.

Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization

Junchi Yan, Xiaokang Yang, Runzhong Wang, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A two-stage scheme for multi-view human pose estimation

Yuncai Liu, Junchi Yan, Bing Sun, 2010, International Conference on Image Processing and Pattern Recognition in Industrial Engineering.

Learning Deep Generative Clustering via Mutual Information Maximization

Junchi Yan, Yizhe Zhang, Xiaojiang Yang, 2022, IEEE Transactions on Neural Networks and Learning Systems.

GFTE: Graph-based Financial Table Extraction pdf

Zheng Huang, Junchi Yan, Xianhui Liu, 2020, ICPR Workshops.

Multi-View Point Registration via Alternating Optimization

Jun Wang, Hongyuan Zha, Junchi Yan, 2015, AAAI.

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning

Junchi Yan, H. Zha, Wenhao Li, 2020, J. Mach. Learn. Res..

Input-Specific Robustness Certification for Randomized Smoothing pdf

Ruoxin Chen, Jie Li, Ping Li, 2021, AAAI.

Towards Variance Reduction for Reinforcement Learning of Industrial Decision-making Tasks: A Bi-Critic based Demand-Constraint Decoupling Approach

Junchi Yan, Jiayi Zhang, Zinuo Cai, 2023, KDD.

Explaining Point Processes by Learning Interpretable Temporal Logic Rules

Junchi Yan, Shuang Li, Yufeng Cao, 2022, ICLR.

Collaborative Filtering with Stability pdf

Li Shang, Chao Chen, Junchi Yan, 2018, ArXiv.

Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space

Junchi Yan, Lanjun Wang, Huaqing Shao, 2023, KDD.

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

Junchi Yan, Xiangxiang Chu, Xiaoxing Wang, 2020, 2011.11233.

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach

Junchi Yan, Anima Anandkumar, Anqi Liu, 2023, IJCAI.

Low-Rank Matrix Approximation with Stability

Li Shang, Chao Chen, Junchi Yan, 2016, ICML.

Simplifying and Empowering Transformers for Large-Graph Representations

Junchi Yan, Yatao Bian, Qitian Wu, 2023, ArXiv.

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks

Junchi Yan, G. Reinert, D. Wipf, 2022, ICML.

Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning

Xin Liu, Changsheng Li, Hongyuan Zha, 2018, IJCAI.

Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph

Junchi Yan, Yunhao Zhang, Junchi Yan, 2021, IJCAI.

Contour detection via stacking random forest learning

Changsheng Li, Junchi Yan, Rongfang Bie, 2018, Neurocomputing.

Improving Semantic Scene Categorization by Exploiting Audio-Visual Features

Junchi Yan, Yuncai Liu, Songhao Zhu, 2009, 2009 Fifth International Conference on Image and Graphics.

An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments

Yin Li, Junchi Yan, Yuncai Liu, 2009, ACCV.

End-to-end learning for image-based air quality level estimation

Hao Wu, Changsheng Li, Junchi Yan, 2018, Machine Vision and Applications.

QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms

Junchi Yan, G. Yan, Wen-Zhe Wu, 2023, ICML.

Quantum 3D Graph Learning with Applications to Molecule Embedding

Junchi Yan, G. Yan, Huaijin Wu, 2023, ICML.

Topology Reasoning for Driving Scenes

Wei Zhang, Junchi Yan, Ping Luo, 2023, ArXiv.

Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment

Hao Xiong, Li Pan, Junchi Yan, 2021, KDD.

Learning Comprehensive Motion Representation for Action Recognition pdf

Feiyue Huang, Mingyu Wu, Junchi Yan, 2021, AAAI.

Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview

Junchi Yan, Yibo Lin, Ruoyu Cheng, 2022, ArXiv.

GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction

Junchi Yan, Runzhong Wang, Haoyu Geng, 2023, KDD.

Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case

Junchi Yan, Xiaokang Yang, Dacheng Tao, 2023, ICLR.

LinSATNet: The Positive Linear Satisfiability Neural Networks

Junchi Yan, Xiaokang Yang, Runzhong Wang, 2023, ICML.

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline

Junchi Yan, Y. Li, Xinyan Chen, 2023, Knowledge Discovery and Data Mining.

ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs

Junchi Yan, Mingxuan Yuan, Jia Zeng, 2023, ICLR.

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

Junchi Yan, Jianye Hao, Xianglong Lyu, 2022, NeurIPS.

Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering

Baoxin Li, Wei Liu, Junchi Yan, 2018, ECCV.

Joint Optimization for Consistent Multiple Graph Matching

Yu Tian, Ya Zhang, Hongyuan Zha, 2013, 2013 IEEE International Conference on Computer Vision.

Texture Synthesis Based Thyroid Nodule Detection From Medical Ultrasound Images: Interpreting and Suppressing the Adversarial Effect of In-place Manual Annotation

Mingyu Wu, Junchi Yan, Xue Yang, 2020, Frontiers in Bioengineering and Biotechnology.

Progressive Context-Aware Graph Feature Learning for Target Re-Identification

Junchi Yan, Xiyuan Hu, Chen Chen, 2023, IEEE Transactions on Multimedia.

Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning

Junchi Yan, Feng Zhu, Rui Zhao, 2023, ICLR.

Patch-level Contrastive Learning via Positional Query for Visual Pretraining

Junchi Yan, Fan Wang, Zhibin Wang, 2023 .

TRASTIVE REPRESENTATION LEARNING

Junchi Yan, Feng Zhu, Rui Zhao, 2023 .

Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning

Junchi Yan, Wendong Bi, Xiaojiang Yang, 2019, ArXiv.

Towards Better Understanding of Disentangled Representations via Mutual Information

Yu Cheng, Xiaojiang Yang, Wendong Bi, 2019 .

Video Content Analysis for Compliance Audit in Finance and Security Industry

Junchi Yan, Kai Chen, Guoliang Shen, 2020, IEEE Access.

Person Re-Identification with Correspondence Structure Learning

Jianxin Wu, Jingdong Wang, Weiyao Lin, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

A Fractal-based CNN for Detecting Complicated Curves in AFM Images pdf

Hongyuan Zha, Junchi Yan, Hongteng Xu, 2016, ArXiv.

C-NTPP: Learning Cluster-Aware Neural Temporal Point Process

Junchi Yan, Fangyu Ding, Haiyang Wang, 2023, AAAI.

StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding

Junchi Yan, Y. Qiao, Hao Peng, 2023, ArXiv.

Learning to Select Elements for Graphic Design

Zheng Qin, Liu Jiang, Junchi Yan, 2020, ICMR.

QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark

Junchi Yan, G. Yan, Wen-Zhe Wu, 2023, ICML.

Hybrid Measurement of Air Quality as a Mobile Service: An Image Based Approach

Xiaoguang Rui, Junchi Yan, Rongfang Bie, 2017, 2017 IEEE International Conference on Web Services (ICWS).

Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization pdf

Junchi Yan, Xiaokang Yang, Han Lu, 2022, ArXiv.

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving

Junchi Yan, Ping Luo, Wenqi Shao, 2023, ArXiv.

Delving Into the Devils of Bird’s-Eye-View Perception: A Review, Evaluation and Recipe

Junchi Yan, Jifeng Dai, Dahua Lin, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Guihai Chen, Junchi Yan, Zixuan Zhang, 2019, NeurIPS.

A Divide-and-Conquer Approach for Large-Scale Multi-label Learning

Wenjie Zhang, Hongyuan Zha, Xiangfeng Wang, 2017, 2017 IEEE Third International Conference on Multimedia Big Data (BigMM).

End-to-End Context-Aided Unicity Matching for Person Re-identification

Junchi Yan, Yinqiang Zheng, Chen Chen, 2022, ArXiv.

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations

Junchi Yan, Yixuan He, Zhaobing Han, 2023, KDD.

DAAS: Differentiable Architecture and Augmentation Policy Search

Junchi Yan, Xiaokang Yang, Xiangxiang Chu, 2021, ArXiv.

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

Junchi Yan, Xiaokang Yang, Xiaolin Wei, 2020, ArXiv.

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Junchi Yan, Xue Yang, Tao He, 2021, AAAI.

Automatic Student Network Search for Knowledge Distillation

Junchi Yan, Zhexi Zhang, Wei Zhu, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

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

Junchi Yan, Hongyang Li, Xiaosong Jia, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection

Junchi Yan, Y. Qiao, Hongyang Li, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity

Junchi Yan, Wei Hu, Yongyi Yang, 2023, ArXiv.

DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation

Junchi Yan, Xiaokang Yang, Guangtao Zhai, 2022, ArXiv.

Clustering-Aware Multiple Graph Matching via Decayed Pairwise Matching Composition

Junchi Yan, Zetian Jiang, Tianzhe Wang, 2020 .

Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing

Junchi Yan, Liangliang Shi, Yulin Su, 2023, 2023 IEEE International Conference on Image Processing (ICIP).

MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering

Li Shang, Chao Chen, Junchi Yan, 2016, IJCAI.

M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios

Junchi Yan, Xiaopeng Zhang, Minglu Cao, 2023, 2303.05122.

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

Yujing Hu, Jianye Hao, Zhaopeng Meng, 2020, IJCAI.

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

Tianjun Xiao, Junchi Yan, D. Wipf, 2021 .

A constrained clustering based approach for matching a collection of feature sets

Hongyuan Zha, Junchi Yan, Zhe Ren, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving

Junchi Yan, Long Chen, Xuemin Hu, 2023, IEEE Transactions on Intelligent Transportation Systems.

Trajectory Prediction from EGO View: A Coordinate Transform and Tail-Light Event Driven Approach

Junchi Yan, Huanxi Liu, Shuqi Mei, 2022, 2022 IEEE International Conference on Multimedia and Expo (ICME).

DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling

Junchi Yan, Xiaoxing Wang, Zhirui Lian, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Machine Learning Methods in Solving the Boolean Satisfiability Problem

Junchi Yan, Yaohui Jin, Wenxuan Guo, 2022, Machine Intelligence Research.

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

Junchi Yan, Tao Chen, Y. Qiao, 2023, ArXiv.

Music Plagiarism Detection via Bipartite Graph Matching pdf

Ning Zhang, Junchi Yan, Wenxuan Liu, 2021, ArXiv.

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline

Junchi Yan, Y. Li, Xinyan Chen, 2023, KDD.

Visual analytics for loan guarantee network risk management.

Junchi Yan, Dawei Cheng, Liqing Zhang, 2017 .

A Survey for Solving Mixed Integer Programming via Machine Learning

Junchi Yan, Jiayi Zhang, Hui-Ling Zhen, 2022, Neurocomputing.

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

Junchi Yan, Xue Yang, Xuehui Wang, 2022, ICLR.

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

Junchi Yan, Qi Tian, Xue Yang, 2021, NeurIPS.

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

Junchi Yan, Qi Tian, Xiaopeng Zhang, 2021, ICML.

Learning Correspondence Structures for Person Re-Identification

Junchi Yan, Jianxin Wu, Jingdong Wang, 2017, IEEE Transactions on Image Processing.

Supplementary Material for the Paper “Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm”

Junchi Yan, M. Tomizuka, Xiaokang Yang, 2023 .

MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning

Junchi Yan, Qitian Wu, Nianzu Yang, 2023, WWW.

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

Junchi Yan, Yi Yu, Xue Yang, 2023, NeurIPS.

AlphaRotate: A Rotation Detection Benchmark using TensorFlow pdf

Junchi Yan, Xue Yang, Yue Zhou, 2021, ArXiv.

ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection

Junchi Yan, Xue Yang, Ying Zeng, 2023, IEEE Transactions on Geoscience and Remote Sensing.

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

Junchi Yan, D. Tao, Cheng Deng, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

Junchi Yan, Hongbin Shen, Xiaoyong Pan, 2016, BMC Genomics.

Simplifying and Empowering Transformers for Large-Graph Representations

Junchi Yan, Yatao Bian, Qitian Wu, 2023, NeurIPS.

IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse

Junchi Yan, Yang Li, Liangliang Shi, 2021, IJCAI.

Improving Generative Adversarial Networks via Adversarial Learning in Latent Space

Junchi Yan, Liangliang Shi, Yi Mo, 2022, NeurIPS.

Attention based convolutional neural network for predicting RNA-protein binding sites pdf

Junchi Yan, Xiaoyong Pan, Junchi Yan, 2017, ArXiv.

Generalizing Graph Matching beyond Quadratic Assignment Model

Baoxin Li, Wei Liu, Junchi Yan, 2018, NeurIPS.

GSdyn: Learning training dynamics via online Gaussian optimization with gradient states

Haoran Liao, Junchi Yan, Zimin Feng, 2021 .

Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs

Junchi Yan, Qitian Wu, Jiahua Wang, 2022, ArXiv.

Handling Distribution Shifts on Graphs: An Invariance Perspective

Junchi Yan, D. Wipf, Qitian Wu, 2022, ICLR.

A Bayesian framework for 3D human motion tracking from monocular image

Jian Liu, Junchi Yan, Yuncai Liu, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.