Gao Huang

IEEE Trans. Neural Networks Learn. Syst., May, 2024

An Energy Matching Vessel Segmentation Framework in 3-D Medical Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, April, 2024

Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., April, 2024

Joint representation learning for text and 3D point cloud.

[BibT_eX]

[DOI]

Pattern Recognit., March, 2024

Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., February, 2024

Dynamic Spatial Focus for Efficient Compressed Video Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., February, 2024

AdaDet: An Adaptive Object Detection System Based on Early-Exit Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., February, 2024

Fine-Grained Recognition With Learnable Semantic Data Augmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

A unified framework for convolution-based graph neural networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Semantic Refocused Tuning for Open-Vocabulary Panoptic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

OStr-DARTS: Differentiable Neural Architecture Search based on Operation Strength.

[BibT_eX]

[DOI]

CoRR, 2024

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Sequence-aware Pre-training for Echocardiography Probe Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking the Architecture Design for Efficient Generic Event Boundary Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing.

[BibT_eX]

[DOI]

CoRR, 2024

COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

Learning 1D Causal Visual Representation with De-focus Attention Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

DiveR-CT: Diversity-enhanced Red Teaming with Relaxing Constraints.

[BibT_eX]

[DOI]

CoRR, 2024

Demystify Mamba in Vision: A Linear Attention Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models.

[BibT_eX]

[DOI]

CoRR, 2024

EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images.

[BibT_eX]

[DOI]

CoRR, 2024

GRA: Detecting Oriented Objects through Group-wise Rotating and Attention.

[BibT_eX]

[DOI]

CoRR, 2024

LLM Agents for Psychology: A Study on Gamified Assessments.

[BibT_eX]

[DOI]

CoRR, 2024

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train.

[BibT_eX]

[DOI]

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning.

[BibT_eX]

[DOI]

Chaoqun Du

Yizeng Han

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DyFADet: Dynamic Feature Aggregation for Temporal Action Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploring Text-to-Motion Generation with Human Preference.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mask Grounding for Referring Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

ExpeL: LLM Agents Are Experiential Learners.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Competitive Meta-Learning.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, September, 2023

Exploration With Task Information for Meta Reinforcement Learning.

[BibT_eX]

[DOI]

Peng Jiang

IEEE Trans. Neural Networks Learn. Syst., August, 2023

SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Convolution-Enhanced Evolving Attention Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Glance and Focus Networks for Dynamic Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Meta-Reinforcement Learning With Dynamic Adaptiveness Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2023

Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels.

[BibT_eX]

[DOI]

CoRR, 2023

GSVA: Generalized Segmentation via Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Agent Attention: On the Integration of Softmax and Linear Attention.

[BibT_eX]

[DOI]

CoRR, 2023

Augmenting Unsupervised Reinforcement Learning with Self-Reference.

[BibT_eX]

[DOI]

CoRR, 2023

Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation.

[BibT_eX]

[DOI]

CoRR, 2023

Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance.

[BibT_eX]

[DOI]

CoRR, 2023

DAT++: Spatially Dynamic Vision Transformer with Deformable Attention.

[BibT_eX]

[DOI]

CoRR, 2023

Latency-aware Unified Dynamic Networks for Efficient Image Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Computation-efficient Deep Learning for Computer Vision: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Specialized Activation Functions for Physics-informed Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Offline Prioritized Experience Replay.

[BibT_eX]

[DOI]

CoRR, 2023

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Modal Interaction Control of Ultrasound Scanning Robots with Safe Human Guidance and Contact Recovery.

[BibT_eX]

[DOI]

CoRR, 2023

Joint Representation Learning for Text and 3D Point Cloud.

[BibT_eX]

[DOI]

CoRR, 2023

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Boosting Offline Reinforcement Learning with Action Preference Query.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Budgeted Training for Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Rotated Convolution for Rotated Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Incubation: Training Large Models by Divide-and-Conquering.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FLatten Transformer: Vision Transformer using Focused Linear Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Perceiver for Efficient Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Siamese Image Modeling for Self-Supervised Vision Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Boosted Dynamic Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism.

[BibT_eX]

[DOI]

Chunjiang Ge

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

The High Separation Probability Assumption for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Chaoqun Du

IEEE Trans. Syst. Man Cybern. Syst., 2022

Attention-Based Meta-Reinforcement Learning for Tracking Control of AUV With Time-Varying Dynamics.

[BibT_eX]

[DOI]

Peng Jiang

IEEE Trans. Neural Networks Learn. Syst., 2022

Regularizing Deep Networks With Semantic Data Augmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Self-Supervised Discovering of Interpretable Features for Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Generalized Domain Conditioned Adaptation Network.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Convolutional Networks with Dense Connectivity.

[BibT_eX]

[DOI]

Zhuang Liu

Geoff Pleiss

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Dynamic Neural Networks: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Preface.

[BibT_eX]

[DOI]

Min-Ling Zhang

Xiu-Shen Wei

J. Comput. Sci. Technol., 2022

TC<sup>3</sup>KD: Knowledge distillation via teacher-student cooperative curriculum customization.

[BibT_eX]

[DOI]

Neurocomputing, 2022

PLAM: A plug-in module for flexible graph attention learning.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Deep Model Assembling.

[BibT_eX]

[DOI]

CoRR, 2022

Cross-Modal Adapter for Text-Video Retrieval.

[BibT_eX]

[DOI]

CoRR, 2022

Boosting Offline Reinforcement Learning via Data Rebalancing.

[BibT_eX]

[DOI]

CoRR, 2022

Siamese Image Modeling for Self-Supervised Vision Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Provable General Function Class Representation Learning in Multitask Bandits and MDPs.

[BibT_eX]

[DOI]

CoRR, 2022

Domain Adaptation via Prompt Learning.

[BibT_eX]

[DOI]

CoRR, 2022

A Mixture Of Surprises for Unsupervised Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Knowledge Distillation from Model Checkpoints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrastive Language-Image Pre-Training with Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Provable General Function Class Representation Learning in Multitask Bandits and MDP.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Latency-aware Spatial-wise Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learn From the Past: Experience Ensemble Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

ActiveNeRF: Learning Where to See with Uncertainty Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Weight Samples for Dynamic Early-Exiting Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Vision Transformer with Deformable Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DiSparse: Disentangled Sparsification for Multitask Model Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

On the Integration of Self-Attention and Convolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Graph Embedding-Based Dimension Reduction With Extreme Learning Machine.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Self-Attention-Based Temporary Curiosity in Reinforcement Learning Exploration.

[BibT_eX]

[DOI]

Hangkai Hu

IEEE Trans. Syst. Man Cybern. Syst., 2021

Spatially Adaptive Feature Refinement for Efficient Inference.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Gated Path Selection Network for Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Deep Siamese Networks Based Change Detection with Remote Sensing Images.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Deep Residual Correction Network for Partial Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

A privacy-preserving image retrieval scheme based secure kNN, DNA coding and deep hashing.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

Fusion layer attention for image-text matching.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Fine-grained few shot learning with foreground object transformation.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Integrating Circle Kernels into Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

On the Power of Multitask Representation Learning in Linear MDP.

[BibT_eX]

[DOI]

Rui Lu

Simon S. Du

CoRR, 2021

Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length.

[BibT_eX]

[DOI]

CoRR, 2021

Large scale air pollution prediction with deep convolutional networks.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2021

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Searching Parameterized AP Loss for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin Softmax.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Evolving Attention with Residual Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Revisiting Locally Supervised Learning: an Alternative to End-to-end Training.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Learning Spatially Discriminative Feature Representations.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Focus for Efficient Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cross-Iteration Batch Normalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

CondenseNet V2: Sparse Feature Reactivation for Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D Object Detection With Pointformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Collaborative learning with corrupted labels.

[BibT_eX]

[DOI]

Neural Networks, 2020

FSD-10: A fine-grained classification dataset for figure skating.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Meta-Semi: A Meta-learning Approach for Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

FSD-10: A Dataset for Competitive Sports Content Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Resolution Adaptive Networks for Efficient Inference.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Domain Conditioned Adaptation Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Cross-Domain Extreme Learning Machines for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2019

Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2019

Learning decomposed subspaces for supervised bidirectional image generation.

[BibT_eX]

[DOI]

Cogn. Comput. Syst., 2019

Implicit Semantic Data Augmentation for Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Joint Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Anytime Stereo Image Depth Estimation on Mobile Devices.

[BibT_eX]

[DOI]

Mark E. Campbell

Proceedings of the International Conference on Robotics and Automation, 2019

Rethinking the Value of Network Pruning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Interpretable Spatio-Temporal Attention for Video Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Improved Techniques for Training Adaptive Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Horizontal Pyramid Matching for Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Learning Large Euclidean Margin for Sketch-based Image Retrieval.

[BibT_eX]

[DOI]

CoRR, 2018

Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos.

[BibT_eX]

[DOI]

CoRR, 2018

An empirical study on evaluation metrics of generative adversarial networks.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-Scale Dense Networks for Resource Efficient Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Resource Aware Person Re-Identification Across Multiple Resolutions.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CondenseNet: An Efficient DenseNet Using Learned Group Convolutions.

[BibT_eX]

[DOI]

Shichen Liu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Dimension Reduction by Minimum Error Minimax Probability Machine.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2017

Prediction Reweighting for Domain Adaptation.

[BibT_eX]

[DOI]

Shuang Li

IEEE Trans. Neural Networks Learn. Syst., 2017

Twin extreme learning machines for pattern classification.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Memory-Efficient Implementation of DenseNets.

[BibT_eX]

[DOI]

CoRR, 2017

Multi-Scale Dense Convolutional Networks for Efficient Prediction.

[BibT_eX]

[DOI]

CoRR, 2017

Snapshot Ensembles: Train 1, Get M for Free.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Learning Efficient Convolutional Networks through Network Slimming.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Densely Connected Convolutional Networks.

[BibT_eX]

[DOI]

Zhuang Liu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2016

Densely Connected Convolutional Networks.

[BibT_eX]

[DOI]

Zhuang Liu

CoRR, 2016

Supervised Word Mover's Distance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Networks with Stochastic Depth.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Discriminative clustering via extreme learning machine.

[BibT_eX]

[DOI]

Neural Networks, 2015

Trends in extreme learning machines: A review.

[BibT_eX]

[DOI]

Neural Networks, 2015

Efficient Lasso training from a geometrical perspective.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Unsupervised neighborhood component analysis for clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Incremental Extreme Learning Machine Based on Cascade Neural Networks.

[BibT_eX]

[DOI]

Yihe Wan

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Dimension Reduction by Maximizing Pairwise Discriminations.

[BibT_eX]

[DOI]

Yanshang Gong

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Maximin Separation Probability Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Semi-Supervised and Unsupervised Extreme Learning Machines.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Non-linear neighborhood component analysis based on constructive neural networks.

[BibT_eX]

[DOI]

Chen Qin

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Transductive Minimax Probability Machine.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Gradient boosted feature selection.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

A second order cone programming approach for semi-supervised learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

Kernelized LARS-LASSO for constructing radial basis function neural networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

Anytime Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Robust Support Vector Regression for Uncertain Input and Output Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Orthogonal Least Squares Algorithm for Training Cascade Neural Networks.

[BibT_eX]

[DOI]