Junchi Yan

According to our database1, Junchi Yan authored at least 273 papers between 2009 and 2023.

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Bibliography

2023
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

A survey for solving mixed integer programming via machine learning.
Neurocomputing, 2023

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion.
CoRR, 2023

Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling.
CoRR, 2023

2022
BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model.
IEEE Trans. Knowl. Data Eng., 2022

Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction.
IEEE Trans. Knowl. Data Eng., 2022

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Recent progress and perspectives on quantum computing for finance.
Serv. Oriented Comput. Appl., 2022

Auto uning of price prediction models for high-frequency trading via reinforcement learning.
Pattern Recognit., 2022

Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU.
Proc. ACM Hum. Comput. Interact., 2022

Correction to: On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited.
Int. J. Comput. Vis., 2022

On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited.
Int. J. Comput. Vis., 2022

Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs.
CoRR, 2022

Localized Contrastive Learning on Graphs.
CoRR, 2022

Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach.
CoRR, 2022

Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks.
CoRR, 2022

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment.
CoRR, 2022

End-to-End Context-Aided Unicity Matching for Person Re-identification.
CoRR, 2022

Learning Universe Model for Partial Matching Networks over Multiple Graphs.
CoRR, 2022

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection.
CoRR, 2022

Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization.
CoRR, 2022

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.
CoRR, 2022

Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot.
CoRR, 2022

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
CoRR, 2022

CEP3: Community Event Prediction with Neural Point Process on Graph.
CoRR, 2022

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding.
CoRR, 2022

DOTIN: Dropping Task-Irrelevant Nodes for GNNs.
CoRR, 2022

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization.
CoRR, 2022

GraphCoCo: Graph Complementary Contrastive Learning.
CoRR, 2022

DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation.
CoRR, 2022

Machine Learning Methods in Solving the Boolean Satisfiability Problem.
CoRR, 2022

A Survey for Solving Mixed Integer Programming via Machine Learning.
CoRR, 2022

Learning Neural Hamiltonian Dynamics: A Methodological Overview.
CoRR, 2022

Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview.
CoRR, 2022

From Quantum Graph Computing to Quantum Graph Learning: A Survey.
CoRR, 2022

Molecule Generation for Drug Design: a Graph Learning Perspective.
CoRR, 2022

Transformers in Time Series: A Survey.
CoRR, 2022

Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective.
CoRR, 2022

The KFIoU Loss for Rotated Object Detection.
CoRR, 2022

Decompositional Quantum Graph Neural Network.
CoRR, 2022

Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization.
CoRR, 2022

Real-Trading-Oriented Price Prediction With Explainable Multiobjective Optimization in Quantitative Trading.
IEEE Access, 2022

Learning structured communication for multi-agent reinforcement learning.
Auton. Agents Multi Agent Syst., 2022

MMRotate: A Rotated Object Detection Benchmark using PyTorch.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Prompt-based Zero-shot Video Moment Retrieval.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

CoHOZ: Contrastive Multimodal Prompt Tuning for Hierarchical Open-set Zero-shot Recognition.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning.
Proceedings of the International Conference on Machine Learning, 2022

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

On Collective Robustness of Bagging Against Data Poisoning.
Proceedings of the International Conference on Machine Learning, 2022

Trajectory Prediction from EGO View: A Coordinate Transform and Tail-Light Event Driven Approach.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Opendenselane: A Dense Lidar-Based Dataset for HD Map Construction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Nonlinear ICA Using Volume-Preserving Transformations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Handling Distribution Shifts on Graphs: An Invariance Perspective.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Explaining Point Processes by Learning Interpretable Temporal Logic Rules.
Proceedings of the Tenth International Conference on Learning Representations, 2022

A Max-Flow Based Approach for Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2022, 2022

EAutoDet: Efficient Architecture Search for Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

StyleFace: Towards Identity-Disentangled Face Generation on Megapixels.
Proceedings of the Computer Vision - ECCV 2022, 2022

Self-supervised Learning of Visual Graph Matching.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling.
Proceedings of the Computer Vision - ECCV 2022, 2022

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark.
Proceedings of the Computer Vision - ECCV 2022, 2022

Align Representations with Base: A New Approach to Self-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Object Localization under Single Coarse Point Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Optimal LED Spectral Multiplexing for NIR2RGB Translation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Input-Specific Robustness Certification for Randomized Smoothing.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder.
IEEE Trans. Neural Networks Learn. Syst., 2021

Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem.
IEEE Trans. Cybern., 2021

Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

OS-LFFD: a light and fast face detector with Ommateum structure.
Multim. Tools Appl., 2021

Image Matching from Handcrafted to Deep Features: A Survey.
Int. J. Comput. Vis., 2021

AlphaRotate: A Rotation Detection Benchmark using TensorFlow.
CoRR, 2021

ZARTS: On Zero-order Optimization for Neural Architecture Search.
CoRR, 2021

DAAS: Differentiable Architecture and Augmentation Policy Search.
CoRR, 2021

Music Plagiarism Detection via Bipartite Graph Matching.
CoRR, 2021

Melody Structure Transfer Network: Generating Music with Separable Self-Attention.
CoRR, 2021

IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse.
CoRR, 2021

Spherical Transformer: Adapting Spherical Signal to CNNs.
CoRR, 2021

Cognitive Visual Inspection Service for LCD Manufacturing Industry.
CoRR, 2021

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Joint Learning for Solving Placement and Routing in Chip Design.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Spectral Dictionary for Local Representation of Mesh.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Deep Latent Graph Matching.
Proceedings of the 38th International Conference on Machine Learning, 2021

Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss.
Proceedings of the 38th International Conference on Machine Learning, 2021

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators.
Proceedings of the 9th International Conference on Learning Representations, 2021

Monocular Visual Analysis for Electronic Line Calling of Tennis Games.
Proceedings of the Image and Graphics - 11th International Conference, 2021

ENPAR: Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Combinatorial Learning of Graph Edit Distance via Dynamic Embedding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Generalizing Face Forgery Detection With High-Frequency Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

UniRE: A Unified Label Space for Entity Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Comprehensive Motion Representation for Action Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Modulated Loss for Rotated Object Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Local Neighboring Structure for Robust 3D Shape Representation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels.
IEEE Trans. Image Process., 2020

Unsupervised learning of optical flow with patch consistency and occlusion estimation.
Pattern Recognit., 2020

Fusing motion patterns and key visual information for semantic event recognition in basketball videos.
Neurocomputing, 2020

Deep Reinforcement Learning of Graph Matching.
CoRR, 2020

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation.
CoRR, 2020

PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds.
CoRR, 2020

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing.
CoRR, 2020

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning.
CoRR, 2020

Hyper-Meta Reinforcement Learning with Sparse Reward.
CoRR, 2020

IEEE Access Special Section: Sequential Data Modeling and Its Emerging Applications.
IEEE Access, 2020

Video Content Analysis for Compliance Audit in Finance and Security Industry.
IEEE Access, 2020

The Diversified Ensemble Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Learning for Robust Deep Clustering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Select Elements for Graphic Design.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Learning for Graph Matching and Related Combinatorial Optimization Problems.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

MergeNAS: Merge Operations into One for Differentiable Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Automatic Student Network Search for Knowledge Distillation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

GFTE: Graph-Based Financial Table Extraction.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Learning deep graph matching with channel-independent embedding and Hungarian attention.
Proceedings of the 8th International Conference on Learning Representations, 2020

Pre-training Entity Relation Encoder with Intra-span and Inter-span Information.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model.
Proceedings of the Computer Vision - ECCV 2020, 2020

Discriminative Partial Domain Adversarial Network.
Proceedings of the Computer Vision - ECCV 2020, 2020

Layered Neighborhood Expansion for Incremental Multiple Graph Matching.
Proceedings of the Computer Vision - ECCV 2020, 2020

Arbitrary-Oriented Object Detection with Circular Smooth Label.
Proceedings of the Computer Vision - ECCV 2020, 2020

Determinant Regularization for Gradient-Efficient Graph Matching.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Unseen Concepts via Hierarchical Decomposition and Composition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Transferable Targeted Attack.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning Time Series Associated Event Sequences With Recurrent Point Process Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019

Editorial.
Pattern Recognit. Lett., 2019

Joint Active Learning with Feature Selection via CUR Matrix Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Special issue on deep learning for intelligent sensing, decision-making and control.
Neurocomputing, 2019

Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning.
CoRR, 2019

Decoding Spiking Mechanism with Dynamic Learning on Neuron Population.
CoRR, 2019

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object.
CoRR, 2019

Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering.
CoRR, 2019

Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Differential Privacy with Variant-Noise for Gaussian Processes Classification.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Modeling and Applications for Temporal Point Processes.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Convolutional Network Hashing for Cross-Modal Retrieval.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Joint Link Prediction and Network Alignment via Cross-graph Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Combinatorial Embedding Networks for Deep Graph Matching.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Spectral Clustering Using Dual Autoencoder Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Transferable AutoML by Model Sharing Over Grouped Datasets.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Synergizing Local and Global Models for Matrix Approximation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
A Self-Paced Regularization Framework for Multilabel Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

Adaptive Discrete Hypergraph Matching.
IEEE Trans. Cybern., 2018

End-to-end learning for image-based air quality level estimation.
Mach. Vis. Appl., 2018

Contour detection via stacking random forest learning.
Neurocomputing, 2018

On the flexibility of block coordinate descent for large-scale optimization.
Neurocomputing, 2018

Collaborative Filtering with Stability.
CoRR, 2018

tau-FPL: Tolerance-Constrained Learning in Linear Time.
CoRR, 2018

Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process.
IEEE Access, 2018

Generalizing Graph Matching beyond Quadratic Assignment Model.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Group Re-Identification: Leveraging and Integrating Multi-Grain Information.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Extreme Multi-label Learning.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Decoupled Learning for Factorial Marked Temporal Point Processes.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Sequential Correlation for User Generated Textual Content Popularity Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-Label Dilated Recurrent Network for Sequential Face Alignment.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering.
Proceedings of the Computer Vision - ECCV 2018, 2018

Joint Cuts and Matching of Partitions in One Graph.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Session Expert: a Lightweight Conference Session Recommender System.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Tau-FPL: Tolerance-Constrained Learning in Linear Time.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning Conditional Generative Models for Temporal Point Processes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming.
IEEE Trans. Image Process., 2017

Learning Correspondence Structures for Person Re-Identification.
IEEE Trans. Image Process., 2017

A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Guest Editorial: Visual Multimedia Learning from Big Surveillance Data.
Multim. Tools Appl., 2017

Attention based convolutional neural network for predicting RNA-protein binding sites.
CoRR, 2017

Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning.
CoRR, 2017

Deep Extreme Multi-label Learning.
CoRR, 2017

Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks.
CoRR, 2017

Wasserstein Learning of Deep Generative Point Process Models.
CoRR, 2017

A hybrid approach for risk assessment of loan guarantee network.
CoRR, 2017

Visual analytics for loan guarantee network risk management.
CoRR, 2017

Personalized Key Frame Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Wasserstein Learning of Deep Generative Point Process Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Early Air Pollution Forecasting as a Service: An Ensemble Learning Approach.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Hybrid Measurement of Air Quality as a Mobile Service: An Image Based Approach.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Divide-and-Conquer Approach for Large-Scale Multi-label Learning.
Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

Transductive Non-linear Learning for Chinese Hypernym Prediction.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Modeling the Intensity Function of Point Process Via Recurrent Neural Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Unsupervised Deep Learning for Optical Flow Estimation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

On Predictive Patent Valuation: Forecasting Patent Citations and Their Types.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Self-Paced Multi-Task Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval.
IEEE Trans. Multim., 2016

Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

A Fractal-based CNN for Detecting Complicated Curves in AFM Images.
CoRR, 2016

A Self-Paced Regularization Framework for Multi-Label Learning.
CoRR, 2016

Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection.
IEEE Access, 2016

On Estimating Air Pollution from Photos Using Convolutional Neural Network.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

A Short Survey of Recent Advances in Graph Matching.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

On Modeling and Predicting Individual Paper Citation Count over Time.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A constrained clustering based approach for matching a collection of feature sets.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Low-Rank Matrix Approximation with Stability.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Spatially Regularized Streaming Sensor Selection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

End-to-End Solution with Clustering Method for Attrition Analysis.
Proceedings of the IEEE International Conference on Services Computing, 2016

2015
Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach.
IEEE Trans. Image Process., 2015

A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting.
CoRR, 2015

Active Sample Learning and Feature Selection: A Unified Approach.
CoRR, 2015

Sales pipeline win propensity prediction: A regression approach.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Person re-identification fusing via ranking consensus.
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

A Matrix Decomposition Perspective to Multiple Graph Matching.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Person Re-Identification with Correspondence Structure Learning.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Discrete hyper-graph matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

On Machine Learning towards Predictive Sales Pipeline Analytics.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Multi-View Point Registration via Alternating Optimization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Digital IIR Filter Design with Fix-Point Representation Using Effective Evolutionary Local Search Enhanced Differential Evolution.
Proceedings of the Computational Intelligence in Digital and Network Designs and Applications, 2015

2014
Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection.
Comput. Biol. Chem., 2014

Sufficient Statistics Feature Mapping over Deep Boltzmann Machine for Detection.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Graduated Consistency-Regularized Optimization for Multi-graph Matching.
Proceedings of the Computer Vision - ECCV 2014, 2014

Maximizing Multi-scale Spatial Statistical Discrepancy.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Two-stage based ensemble optimization framework for large-scale global optimization.
Eur. J. Oper. Res., 2013

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.
CoRR, 2013

Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation.
Proceedings of the IJCAI 2013, 2013

Joint Optimization for Consistent Multiple Graph Matching.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Online incremental regression for electricity price prediction.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

Load forecasting using Twin Gaussian Process model.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

Negative pressure wave based pipeline Leak Detection: Challenges and algorithms.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

Experimental analysis of different optimization techniques on leakage localization using series alignment.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

A survey on oil / gas pipeline optimization: Problems, methods and challenges.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

On the Convergence of Graph Matching: Graduated Assignment Revisited.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Weighted sparse coding residual minimization for visual tracking.
Proceedings of the 2011 IEEE Visual Communications and Image Processing, 2011

Sparse Feature Learning for Visual Tracking by Least Absolute Shrinkage and Selection Operator.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

A Double-Layer Model for Foreground Detection from Video Sequence.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

2010
Visual Saliency Detection via Sparsity Pursuit.
IEEE Signal Process. Lett., 2010

An Optimization Based Framework for Human Pose Estimation.
IEEE Signal Process. Lett., 2010

Model-based 3D human motion tracking and voxel reconstruction from sparse views.
Proceedings of the International Conference on Image Processing, 2010

Visual saliency detection via rank-sparsity decomposition.
Proceedings of the International Conference on Image Processing, 2010

Tensor error correction for corrupted values in visual data.
Proceedings of the International Conference on Image Processing, 2010

A Bayesian framework for 3D human motion tracking from monocular image.
Proceedings of the IEEE International Conference on Acoustics, 2010

Optimum Subspace Learning and Error Correction for Tensors.
Proceedings of the Computer Vision, 2010

2009
Improving Semantic Scene Categorization by Exploiting Audio-Visual Features.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

Markless Human Motion Capture by Voxel Labeling.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments.
Proceedings of the Computer Vision, 2009

Visual Saliency Based on Conditional Entropy.
Proceedings of the Computer Vision, 2009


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