2024
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents.
Stat. Comput., October, 2024
OpenResearcher: Unleashing AI for Accelerated Scientific Research.
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CoRR, 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.
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CoRR, 2024
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
CodecLM: Aligning Language Models with Tailored Synthetic Data.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
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Medical Image Anal., December, 2023
Plant image recognition with deep learning: A review.
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Comput. Electron. Agric., September, 2023
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning.
CoRR, 2023
StraIT: Non-autoregressive Generation with Stratified Image Transformer.
CoRR, 2023
Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
AutoGT: Automated Graph Transformer Architecture Search.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction.
Proceedings of the Conference on Robot Learning, 2023
QueryForm: A Simple Zero-shot Form Entity Query Framework.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Kullback-Leibler Divergence Metric Learning.
IEEE Trans. Cybern., 2022
Correction: G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm.
Soft Comput., 2022
Hypergraph Learning: Methods and Practices.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Deep Hypergraph Structure Learning.
CoRR, 2022
Exploit Customer Life-time Value with Memoryless Experiments.
CoRR, 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning.
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Proceedings of the Computer Vision - ECCV 2022, 2022
Learning to Prompt for Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing.
IEEE Trans. Image Process., 2021
G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm.
Soft Comput., 2021
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Aggregating Nested Transformers.
CoRR, 2021
Improved Transformer for High-Resolution GANs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation.
Proceedings of the 9th International Conference on Learning Representations, 2021
Learning Fast Sample Re-weighting Without Reward Data.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Diagnosis of Childhood Autism Using Multi-modal Functional Connectivity via Dynamic Hypergraph Learning.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021
Improved Consistency Regularization for GANs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Low-resolution facial expression recognition: A filter learning perspective.
Signal Process., 2020
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors.
Memetic Comput., 2020
Image Augmentations for GAN Training.
CoRR, 2020
A Simple Semi-Supervised Learning Framework for Object Detection.
CoRR, 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Consistency Regularization for Generative Adversarial Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020
Distance-Based Learning from Errors for Confidence Calibration.
Proceedings of the 8th International Conference on Learning Representations, 2020
Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost.
Proceedings of the Computer Vision - ECCV 2020, 2020
Distilling Effective Supervision From Severe Label Noise.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Loss-Based Attention for Deep Multiple Instance Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Hypergraph-Induced Convolutional Networks for Visual Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019
Exploring High-Order Correlations for Industry Anomaly Detection.
IEEE Trans. Ind. Electron., 2019
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.
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Nat. Mach. Intell., 2019
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.
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Nat. Mach. Intell., 2019
Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.
Medical Image Anal., 2019
IEG: Robust Neural Network Training to Tackle Severe Label Noise.
CoRR, 2019
Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images.
BMC Bioinform., 2019
Towards pixel-to-pixel deep nucleus detection in microscopy images.
BMC Bioinform., 2019
High throughput automatic muscle image segmentation using parallel framework.
BMC Bioinform., 2019
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Hypergraph Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification.
IEEE Trans. Image Process., 2018
Revisiting graph construction for fast image segmentation.
Pattern Recognit., 2018
Breast mass classification via deeply integrating the contextual information from multi-view data.
Pattern Recognit., 2018
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
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CoRR, 2018
Cross Diffusion on Multi-hypergraph for Multi-modal 3D Object Recognition.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
Dynamic Hypergraph Structure Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection.
CoRR, 2017
Revisiting Graph Construction for Fast Image Segmentation.
CoRR, 2017
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Kernel-Based Supervised Discrete Hashing for Image Retrieval.
Proceedings of the Computer Vision - ECCV 2016, 2016
SemiContour: A Semi-Supervised Learning Approach for Contour Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
2013
Discriminative filter based regression learning for facial expression recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013