Junchi Yan
Orcid: 0000-0001-9639-7679
According to our database1,
Junchi Yan
authored at least 459 papers
between 2009 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach.
Neural Networks, 2025
2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Autonomous Driving.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks.
CoRR, 2024
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation.
CoRR, 2024
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation.
CoRR, 2024
CoRR, 2024
FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving.
CoRR, 2024
CoRR, 2024
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models.
CoRR, 2024
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models.
CoRR, 2024
Scene Graph Generation in Large-Size VHR Satellite Imagery: A Large-Scale Dataset and A Context-Aware Approach.
CoRR, 2024
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving.
CoRR, 2024
On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling.
CoRR, 2024
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach.
CoRR, 2024
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
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning.
CoRR, 2024
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention.
CoRR, 2024
LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation.
CoRR, 2024
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
CalibRBEV: Multi-Camera Calibration via Reversed Bird's-eye-view Representations for Autonomous Driving.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang.
Proceedings of the Computer Vision - ECCV 2024, 2024
Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2).
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Boosting Order-Preserving and Transferability for Neural Architecture Search: A Joint Architecture Refined Search and Fine-Tuning Approach.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-End Oriented Object Detection with Single Point Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 10th IEEE International Conference on Big Data Computing Service and Machine Learning Applications, 2024
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
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
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
Mach. Intell. Res., October, 2023
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
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
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
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
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
Neurocomputing, 2023
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation.
CoRR, 2023
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
Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models.
CoRR, 2023
Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving.
CoRR, 2023
H2RBox-v2: Boosting HBox-supervised Oriented Object Detection via Symmetric Learning.
CoRR, 2023
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
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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
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
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
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
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
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
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
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
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
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
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
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
Proceedings of the Eleventh International Conference on Learning Representations, 2023
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
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
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
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
Proceedings of the International Conference on Automated Machine Learning, 2023
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model.
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Knowl. Data Eng., 2022
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
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
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach.
CoRR, 2022
CoRR, 2022
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.
CoRR, 2022
CoRR, 2022
MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization.
CoRR, 2022
CoRR, 2022
Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview.
CoRR, 2022
Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective.
CoRR, 2022
CoRR, 2022
Real-Trading-Oriented Price Prediction With Explainable Multiobjective Optimization in Quantitative Trading.
IEEE Access, 2022
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
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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
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
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
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
Proceedings of the Learning on Graphs Conference, 2022
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
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
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
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
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
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
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
IEEE Trans. Cybern., 2021
Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Multim. Tools Appl., 2021
Int. J. Comput. Vis., 2021
CoRR, 2021
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
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
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
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
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
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
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
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
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
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
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
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
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
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
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
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
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
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
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
IEEE Access, 2020
IEEE Access, 2020
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
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
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
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
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
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
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
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Neurocomputing, 2019
Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning.
CoRR, 2019
CoRR, 2019
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering.
CoRR, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
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
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
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
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
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
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Mach. Vis. Appl., 2018
Neurocomputing, 2018
Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process.
IEEE Access, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018
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
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
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
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
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
IEEE Trans. Image Process., 2017
A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories.
IEEE Trans. Pattern Anal. Mach. Intell., 2017
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
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks.
CoRR, 2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE International Conference on Web Services, 2017
Proceedings of the 2017 IEEE International Conference on Web Services, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
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
Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection.
IEEE Access, 2016
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
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
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
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
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
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
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
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
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the Computer Vision - ECCV 2014, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
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
Proceedings of the IJCAI 2013, 2013
Proceedings of the IEEE International Conference on Computer Vision, 2013
2012
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012
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
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
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
Proceedings of the Sixth International Conference on Image and Graphics, 2011
2010
IEEE Signal Process. Lett., 2010
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the Computer Vision, 2010
2009
Proceedings of the Fifth International Conference on Image and Graphics, 2009
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
Proceedings of the Computer Vision, 2009