Junchi Yan

Orcid: 0000-0001-9639-7679

According to our database1, Junchi Yan authored at least 401 papers between 2009 and 2024.

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Bibliography

2024
ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Progressive reinforcement learning for video summarization.
Inf. Sci., January, 2024

ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Grounding and Enhancing Grid-based Models for Neural Fields.
CoRR, 2024

AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving.
CoRR, 2024

Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach.
CoRR, 2024

Boundary Matters: A Bi-Level Active Finetuning Framework.
CoRR, 2024

Exploring Safety Generalization Challenges of Large Language Models via Code.
CoRR, 2024

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving.
CoRR, 2024

Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach.
CoRR, 2024

Theoretically Achieving Continuous Representation of Oriented Bounding Boxes.
CoRR, 2024

Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine Transformations.
CoRR, 2024

Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2).
CoRR, 2024

Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models.
CoRR, 2024

ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning.
CoRR, 2024

Graph Out-of-Distribution Generalization via Causal Intervention.
CoRR, 2024

GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention.
CoRR, 2024

Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm.
CoRR, 2024

Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach.
CoRR, 2024

Knowledge Graph Supported Benchmark and Video Captioning for Basketball.
CoRR, 2024

LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation.
CoRR, 2024

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.
CoRR, 2024

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Dynamic Reactive Spiking Graph Neural Network.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Double-Bounded Optimal Transport for Advanced Clustering and Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Robust Mesh Representation Learning via Efficient Local Structure-Aware Anisotropic Convolution.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., November, 2023

DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Machine Learning Methods in Solving the Boolean Satisfiability Problem.
Mach. Intell. Res., October, 2023

Learning Deep Generative Clustering via Mutual Information Maximization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting.
IEEE Trans. Knowl. Data Eng., July, 2023

Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series.
IEEE Trans. Knowl. Data Eng., June, 2023

Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Learning Regularized Noise Contrastive Estimation for Robust Network Embedding.
IEEE Trans. Knowl. Data Eng., May, 2023

Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Detecting Rotated Objects as Gaussian Distributions and its 3-D Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Progressive Context-Aware Graph Feature Learning for Target Re-Identification.
IEEE Trans. Multim., 2023

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

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning.
J. Mach. Learn. Res., 2023

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

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving.
CoRR, 2023

Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation.
CoRR, 2023

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future.
CoRR, 2023

Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach.
CoRR, 2023

Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework.
CoRR, 2023

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision.
CoRR, 2023

PointOBB: Learning Oriented Object Detection via Single Point Supervision.
CoRR, 2023

Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models.
CoRR, 2023

GMTR: Graph Matching Transformers.
CoRR, 2023

Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems.
CoRR, 2023

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions.
CoRR, 2023

RigLSTM: Recurrent Independent Grid LSTM for Generalizable Sequence Learning.
CoRR, 2023

LLM4Drive: A Survey of Large Language Models for Autonomous Driving.
CoRR, 2023

M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering.
CoRR, 2023

Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory.
CoRR, 2023

REVO-LION: Evaluating and Refining Vision-Language Instruction Tuning Datasets.
CoRR, 2023

Advective Diffusion Transformers for Topological Generalization in Graph Learning.
CoRR, 2023

How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space.
CoRR, 2023

StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding.
CoRR, 2023

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving.
CoRR, 2023

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation.
CoRR, 2023

HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction.
CoRR, 2023

Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving.
CoRR, 2023

Topology Reasoning for Driving Scenes.
CoRR, 2023

H2RBox-v2: Boosting HBox-supervised Oriented Object Detection via Symmetric Learning.
CoRR, 2023

Geometric-aware Pretraining for Vision-centric 3D Object Detection.
CoRR, 2023

EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning.
CoRR, 2023

R-Tuning: Regularized Prompt Tuning in Open-Set Scenarios.
CoRR, 2023

Rethinking Visual Prompt Learning as Masked Visual Token Modeling.
CoRR, 2023

ARS-DETR: Aspect Ratio Sensitive Oriented Object Detection with Transformer.
CoRR, 2023

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

MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning.
Proceedings of the ACM Web Conference 2023, 2023

Adaptable Conservative Q-Learning for Offline Reinforcement Learning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simplifying and Empowering Transformers for Large-Graph Representations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fine-Grained Music Plagiarism Detection: Revealing Plagiarists through Bipartite Graph Matching and a Comprehensive Large-Scale Dataset.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

VQNE: Variational Quantum Network Embedding with Application to Network Alignment.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Variance Reduction for Reinforcement Learning of Industrial Decision-making Tasks: A Bi-Critic based Demand-Constraint Decoupling Approach.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Transformers in Time Series: A Survey.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Patch-level Contrastive Learning via Positional Query for Visual Pre-training.
Proceedings of the International Conference on Machine Learning, 2023

Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver.
Proceedings of the International Conference on Machine Learning, 2023

Quantum 3D Graph Learning with Applications to Molecule Embedding.
Proceedings of the International Conference on Machine Learning, 2023

QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms.
Proceedings of the International Conference on Machine Learning, 2023

LinSATNet: The Positive Linear Satisfiability Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective.
Proceedings of the International Conference on Machine Learning, 2023

QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark.
Proceedings of the International Conference on Machine Learning, 2023

Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Energy-based Out-of-Distribution Detection for Graph Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

The KFIoU Loss for Rotated Object Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing.
Proceedings of the IEEE International Conference on Image Processing, 2023

Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Ternary Weight Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Adaptive Embedding and Distribution Re-margin for Long-Tail Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Learning of Partial Graph Matching via Differentiable Top-K.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Poisson Process for Bayesian Optimization.
Proceedings of the International Conference on Automated Machine Learning, 2023

C-NTPP: Learning Cluster-Aware Neural Temporal Point Process.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Localized Contrastive Learning on Graphs.
CoRR, 2022

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

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

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

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

Conditional Variational Inference for Multi-modal Trajectory Prediction with Latent Diffusion Prior.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Learning Substructure Invariance for Out-of-Distribution Molecular Representations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ZARTS: On Zero-order Optimization for Neural Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GraphQNTK: Quantum Neural Tangent Kernel for Graph Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Generative Adversarial Networks via Adversarial Learning in Latent Space.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

CEP3: Community Event Prediction With Neural Point Process on Graph.
Proceedings of the Learning on Graphs Conference, 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

Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach.
Proceedings of the Conference on Robot Learning, 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

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

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

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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