Chang Xu

Orcid: 0000-0002-4756-0609

Affiliations:
  • University of Sydney, School of Information Technologies, UBTECH Sydney Artificial Intelligence Centre, NSW, Australia
  • Peking University, Beijing, China (former)


According to our database1, Chang Xu authored at least 291 papers between 2012 and 2025.

Collaborative distances:

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Bibliography

2025
Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing.
Neural Networks, 2025

2024
Weak Augmentation Guided Relational Self-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

RUN: Rethinking the UNet Architecture for Efficient Image Restoration.
IEEE Trans. Multim., 2024

Anti-Compression Contrastive Facial Forgery Detection.
IEEE Trans. Multim., 2024

Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization.
IEEE Trans. Multim., 2024

A Credential Usage Study: Flow-Aware Leakage Detection in Open-Source Projects.
IEEE Trans. Inf. Forensics Secur., 2024

Multi-tailed vision transformer for efficient inference.
Neural Networks, 2024

Investigating Memorization in Video Diffusion Models.
CoRR, 2024

Exploring Local Memorization in Diffusion Models via Bright Ending Attention.
CoRR, 2024

Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Model.
CoRR, 2024

Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors.
CoRR, 2024

Training-free Long Video Generation with Chain of Diffusion Model Experts.
CoRR, 2024

Compress Guidance in Conditional Diffusion Sampling.
CoRR, 2024

Surgical Triplet Recognition via Diffusion Model.
CoRR, 2024

Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model.
CoRR, 2024

NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization.
CoRR, 2024

Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V.
CoRR, 2024

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba.
CoRR, 2024

LocalMamba: Visual State Space Model with Windowed Selective Scan.
CoRR, 2024

Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models.
CoRR, 2024

Visual Imitation Learning with Calibrated Contrastive Representation.
CoRR, 2024

Image Anomaly Detection Based on Controllable Self-Augmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Boosting Diffusion Models with an Adaptive Momentum Sampler.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Detecting Any instruction-to-answer interaction relationship: Universal Instruction-to-Answer Navigator for Med-VQA.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Imitation Learning from Purified Demonstrations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Data-efficient Large Vision Models through Sequential Autoregression.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Benchmark Study on Calibration.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Architecture Retrieval.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

TCNAS: Transformer Architecture Evolving in Code Clone Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

Beyond the Limit of Weight-Sharing: Pioneering Space-Evolving NAS with Large Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Visual Prompting via Partial Optimal Transport.
Proceedings of the Computer Vision - ECCV 2024, 2024

Active Generation for Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024

Residual Learning in Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Random Entangled Tokens for Adversarially Robust Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Memorization-Free Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AMD: Autoregressive Motion Diffusion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Skeleton-Based Human Motion Prediction With Privileged Supervision.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

SFHN: Spatial-Frequency Domain Hybrid Network for Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Searching for Network Width With Bilaterally Coupled Network.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Neural Architecture Search via Proxy Validation.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Adversarial Recurrent Time Series Imputation.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Bilinear Graph Networks for Visual Question Answering.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Improving Lightweight AdderNet via Distillation From ℓ<sub>2</sub> to ℓ<sub>1</sub>-norm.
IEEE Trans. Image Process., 2023

Not All Steps are Equal: Efficient Generation with Progressive Diffusion Models.
CoRR, 2023

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models.
CoRR, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.
CoRR, 2023

Imitation Learning from Purified Demonstration.
CoRR, 2023

Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks.
CoRR, 2023

MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field.
CoRR, 2023

Efficient Transfer Learning in Diffusion Models via Adversarial Noise.
CoRR, 2023

CoNe: Contrast Your Neighbours for Supervised Image Classification.
CoRR, 2023

Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation.
CoRR, 2023

GPT Self-Supervision for a Better Data Annotator.
CoRR, 2023

VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale.
CoRR, 2023

AMD: Autoregressive Motion Diffusion.
CoRR, 2023

Can GPT-4 Perform Neural Architecture Search?
CoRR, 2023

Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection.
CoRR, 2023

Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense.
CoRR, 2023

Contrastive Sampling Chains in Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adversarial Robustness through Random Weight Sampling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge Diffusion for Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stable Diffusion is Unstable.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rethinking Conditional Diffusion Sampling with Progressive Guidance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Schedule in Diffusion Probabilistic Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models.
Proceedings of the International Joint Conference on Neural Networks, 2023

Calibrating a Deep Neural Network with Its Predecessors.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dual Focal Loss for Calibration.
Proceedings of the International Conference on Machine Learning, 2023

PixelAsParam: A Gradient View on Diffusion Sampling with Guidance.
Proceedings of the International Conference on Machine Learning, 2023

Masked Distillation with Receptive Tokens.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures.
Proceedings of the IEEE International Conference on Data Mining, 2023

SimMatchV2: Semi-Supervised Learning with Graph Consistency.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

What Can Simple Arithmetic Operations Do for Temporal Modeling?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Diffusion Action Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Personalized Image Generation for Color Vision Deficiency Population.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation with Progressive Video Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Trade-off between Robustness and Accuracy of Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adversarial Robustness via Random Projection Filters.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Private Image Generation with Dual-Purpose Auxiliary Classifier.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ContraFeat: Contrasting Deep Features for Semantic Discovery.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Neural Architecture Search for Wide Spectrum Adversarial Robustness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
V-SVR+: Support Vector Regression With Variational Privileged Information.
IEEE Trans. Multim., 2022

TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization With Few Labeled Samples.
IEEE Trans. Circuits Syst. Video Technol., 2022

LocalDrop: A Hybrid Regularization for Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Versatile Convolution Filters for Efficient Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Optimizing Latent Distributions for Non-Adversarial Generative Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Neural architecture tuning with policy adaptation.
Neurocomputing, 2022

GhostNets on Heterogeneous Devices via Cheap Operations.
Int. J. Comput. Vis., 2022

Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-Resolution.
CoRR, 2022

FastMIM: Expediting Masked Image Modeling Pre-training for Vision.
CoRR, 2022

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations.
CoRR, 2022

LightViT: Towards Light-Weight Convolution-Free Vision Transformers.
CoRR, 2022

Relational Self-Supervised Learning.
CoRR, 2022

Multi-Tailed Vision Transformer for Efficient Inference.
CoRR, 2022

Vulnerability Detection Using Deep Learning Based Function Classification.
Proceedings of the Network and System Security - 16th International Conference, 2022

GhostNetV2: Enhance Cheap Operation with Long-Range Attention.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Random Normalization Aggregation for Adversarial Defense.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge Distillation from A Stronger Teacher.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sufficient Vision Transformer.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Spatial-Channel Token Distillation for Vision MLPs.
Proceedings of the International Conference on Machine Learning, 2022

Relational Surrogate Loss Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments.
Proceedings of the IEEE International Conference on Data Mining, 2022

Contrastive Code-Comment Pre-training.
Proceedings of the IEEE International Conference on Data Mining, 2022

Data Agnostic Filter Gating For Efficient Deep Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

One Size Does NOT Fit All: Data-Adaptive Adversarial Training.
Proceedings of the Computer Vision - ECCV 2022, 2022

ViTAS: Vision Transformer Architecture Search.
Proceedings of the Computer Vision - ECCV 2022, 2022

SimMatch: Semi-supervised Learning with Similarity Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DeepFake Disrupter: The Detector of DeepFake Is My Friend.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Image Patch is a Wave: Phase-Aware Vision MLP.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Patch Slimming for Efficient Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hire-MLP: Vision MLP via Hierarchical Rearrangement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CMT: Convolutional Neural Networks Meet Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DyRep: Bootstrapping Training with Dynamic Re-parameterization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GreedyNASv2: Greedier Search with a Greedy Path Filter.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning Student Networks via Feature Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2021

Open-Set Hypothesis Transfer With Semantic Consistency.
IEEE Trans. Image Process., 2021

Learning to reweight examples in multi-label classification.
Neural Networks, 2021

CMT: Convolutional Neural Networks Meet Vision Transformers.
CoRR, 2021

Vision Transformer Architecture Search.
CoRR, 2021

Adder Neural Networks.
CoRR, 2021

ReSSL: Relational Self-Supervised Learning with Weak Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Frequency Domain Approximation for Binary Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Augmented Shortcuts for Vision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Architecture Dilation for Adversarial Robustness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Handling Long-tailed Feature Distribution in AdderNets.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Stable and Robust AdderNets.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Empirical Study of Adder Neural Networks for Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Workshop on Model Mining.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

PLP 2021: Workshop on Programming Language Processing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Commutative Lie Group VAE for Disentanglement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning to Weight Imperfect Demonstrations.
Proceedings of the 38th International Conference on Machine Learning, 2021

K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets.
Proceedings of the 38th International Conference on Machine Learning, 2021

Locally Free Weight Sharing for Network Width Search.
Proceedings of the 9th International Conference on Learning Representations, 2021

Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries.
Proceedings of the IEEE International Conference on Data Mining, 2021

DeepFake MNIST+: A DeepFake Facial Animation Dataset.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Weakly Supervised Contrastive Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Frequency-aware Dynamic Network for Efficient Super-Resolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Where and What? Examining Interpretable Disentangled Representations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ReNAS: Relativistic Evaluation of Neural Architecture Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Manifold Regularized Dynamic Network Pruning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

BCNet: Searching for Network Width With Bilaterally Coupled Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Prioritized Architecture Sampling With Monto-Carlo Tree Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AdderSR: Towards Energy Efficient Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Positive-Unlabeled Data Purification in the Wild for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Object Detectors via Decoupled Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Student Networks in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Pre-Trained Image Processing Transformer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adversarial Robustness through Disentangled Representations.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

One-shot Graph Neural Architecture Search with Dynamic Search Space.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020

Iterative Privileged Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Robust Student Network Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Discriminative Multi-View Privileged Information Learning for Image Re-Ranking.
IEEE Trans. Image Process., 2020

Long-Term Video Prediction via Criticization and Retrospection.
IEEE Trans. Image Process., 2020

Self-Supervised Pose Adaptation for Cross-Domain Image Animation.
IEEE Trans. Artif. Intell., 2020

Joint hyperspectral unmixing for urban computing.
GeoInformatica, 2020

An innovative multi-label learning based algorithm for city data computing.
GeoInformatica, 2020

Data Agnostic Filter Gating for Efficient Deep Networks.
CoRR, 2020

Adversarially Robust Neural Architectures.
CoRR, 2020

Multi-Task Pruning for Semantic Segmentation Networks.
CoRR, 2020

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens.
CoRR, 2020

TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples.
CoRR, 2020

Discernible Compressed Images via Deep Perception Consistency.
CoRR, 2020

Robust learning with imperfect privileged information.
Artif. Intell., 2020

UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Searching for Low-Bit Weights in Quantized Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Kernel Based Progressive Distillation for Adder Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SCOP: Scientific Control for Reliable Neural Network Pruning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adapting Neural Architectures Between Domains.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discernible Image Compression.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Neural Architecture Search in A Proxy Validation Loss Landscape.
Proceedings of the 37th International Conference on Machine Learning, 2020

Training Binary Neural Networks through Learning with Noisy Supervision.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Disentangled Representations with Latent Variation Predictability.
Proceedings of the Computer Vision - ECCV 2020, 2020

On Dropping Clusters to Regularize Graph Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer.
Proceedings of the Computer Vision - ECCV 2020, 2020

DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

CARS: Continuous Evolution for Efficient Neural Architecture Search.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Semi-Supervised Assessor of Neural Architectures.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neuromorphic Camera Guided High Dynamic Range Imaging.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GhostNet: More Features From Cheap Operations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

On Positive-Unlabeled Classification in GAN.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AdderNet: Do We Really Need Multiplications in Deep Learning?
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Frequency Domain Compact 3D Convolutional Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Context Aware Graph Convolution for Skeleton-Based Action Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Assessing Social License to Operate from the Public Discourse on Social Media.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Reborn Filters: Pruning Convolutional Neural Networks with Limited Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Efficient Residual Dense Block Search for Image Super-Resolution.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Student Networks with Few Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Distilling Portable Generative Adversarial Networks for Image Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks.
IEEE Trans. Multim., 2019

ROMIR: Robust Multi-View Image Re-Ranking.
IEEE Trans. Knowl. Data Eng., 2019

Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer.
IEEE Trans. Image Process., 2019

Evolutionary Generative Adversarial Networks.
IEEE Trans. Evol. Comput., 2019

Learning structured and non-redundant representations with deep neural networks.
Pattern Recognit., 2019

Packing Convolutional Neural Networks in the Frequency Domain.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

RNAS: Architecture Ranking for Powerful Networks.
CoRR, 2019

Balanced Binary Neural Networks with Gated Residual.
CoRR, 2019

Full-Stack Filters to Build Minimum Viable CNNs.
CoRR, 2019

Graph Reasoning Networks for Visual Question Answering.
CoRR, 2019

Bringing Giant Neural Networks Down to Earth with Unlabeled Data.
CoRR, 2019

Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification.
CoRR, 2019

Point Cloud Generation From Multiple Angles of Voxel Grids.
IEEE Access, 2019

Spatial-Temporal Attention-Based Human Dynamics Retrospection.
IEEE Access, 2019

Positive-Unlabeled Compression on the Cloud.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning from Bad Data via Generation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Instance-wise Sparsity for Accelerating Deep Models.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Attribute Aware Pooling for Pedestrian Attribute Recognition.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On Retrospecting Human Dynamics with Attention.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Crafting Efficient Neural Graph of Large Entropy.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

LegoNet: Efficient Convolutional Neural Networks with Lego Filters.
Proceedings of the 36th International Conference on Machine Learning, 2019

Reinforced Molecule Generation with Heterogeneous States.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Approximated Bilinear Modules for Temporal Modeling.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Co-Evolutionary Compression for Unpaired Image Translation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-Supervised Representation Learning From Multi-Domain Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data-Free Learning of Student Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Watermarking to Attack Deep Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Image-Question-Answer Synergistic Network for Visual Dialog.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Self-Supervised Representation Learning by Rotation Feature Decoupling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

STRIP: a defence against trojan attacks on deep neural networks.
Proceedings of the 35th Annual Computer Security Applications Conference, 2019

Recognising Agreement and Disagreement between Stances with Reason Comparing Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Smooth Deep Image Generator from Noises.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Perceptual Adversarial Networks for Image-to-Image Transformation.
IEEE Trans. Image Process., 2018

Cost-Sensitive Feature Selection by Optimizing F-Measures.
IEEE Trans. Image Process., 2018

Multi-Task Learning for Blind Source Separation.
IEEE Trans. Image Process., 2018

Matrix Factorization for Collaborative Budget Allocation.
IEEE Trans Autom. Sci. Eng., 2018

Multi-view manifold learning with locality alignment.
Pattern Recognit., 2018

Discriminative multi-view Privileged Information learning for image re-ranking.
CoRR, 2018

Learning Versatile Filters for Efficient Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Evolutionary Compression.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

R-SVM+: Robust Learning with Privileged Information.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Independent Feature and Label Components for Multi-label Classification.
Proceedings of the IEEE International Conference on Data Mining, 2018

Online Dictionary Learning with Confidence.
Proceedings of the IEEE International Conference on Data Mining, 2018

Historical Gradient Boosting Machine.
Proceedings of the GCAI-2018, 2018

Attention-GAN for Object Transfiguration in Wild Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

Cross-Target Stance Classification with Self-Attention Networks.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Learning With Single-Teacher Multi-Student.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adversarial Learning of Portable Student Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Reinforced Multi-Label Image Classification by Exploring Curriculum.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
DCT Regularized Extreme Visual Recovery.
IEEE Trans. Image Process., 2017

Discriminative Multi-View Interactive Image Re-Ranking.
IEEE Trans. Image Process., 2017

Diversified dictionaries for multi-instance learning.
Pattern Recognit., 2017

SPA: Spatially Pooled Attributes for image retrieval.
Neurocomputing, 2017

Towards Evolutional Compression.
CoRR, 2017

Learning from Multiple Teacher Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Privileged Multi-label Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-Positive and Unlabeled Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Tag Disentangled Generative Adversarial Network for Object Image Re-rendering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Fast SVM Trained by Divide-and-Conquer Anchors.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Collaborative Rating Allocation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Privileged Matrix Factorization for Collaborative Filtering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Beyond Filters: Compact Feature Map for Portable Deep Model.
Proceedings of the 34th International Conference on Machine Learning, 2017

Beyond RPCA: Flattening Complex Noise in the Frequency Domain.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Cost-Sensitive Feature Selection via F-Measure Optimization Reduction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Local Rademacher Complexity for Multi-Label Learning.
IEEE Trans. Image Process., 2016

SERVE: Soft and Equalized Residual VEctors for image retrieval.
Neurocomputing, 2016

Streaming Label Learning for Modeling Labels on the Fly.
CoRR, 2016

Streaming View Learning.
CoRR, 2016

Parts for the Whole: The DCT Norm for Extreme Visual Recovery.
CoRR, 2016

CNNpack: Packing Convolutional Neural Networks in the Frequency Domain.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Robust Extreme Multi-label Learning.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Multi-View Learning With Incomplete Views.
IEEE Trans. Image Process., 2015

Multi-Task Pose-Invariant Face Recognition.
IEEE Trans. Image Process., 2015

Multi-View Intact Space Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Large-margin multi-view Gaussian process.
Multim. Syst., 2015

Multi-view Self-Paced Learning for Clustering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Large-Margin Multi-Label Causal Feature Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Large-Margin Multi-ViewInformation Bottleneck.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Large-margin Weakly Supervised Dimensionality Reduction.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2013

A Survey on Multi-view Learning
CoRR, 2013

Large-margin multi-view Gaussian process for image classification.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Learning to rerank images with enhanced spatial verification.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012


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