Cheng Deng

Orcid: 0000-0003-2620-3247

According to our database1, Cheng Deng authored at least 278 papers between 2007 and 2024.

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Bibliography

2024
Unsupervised Graph Transformer With Augmentation-Free Contrastive Learning.
IEEE Trans. Knowl. Data Eng., November, 2024

Unsupervised Structure-Adaptive Graph Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Causality-Invariant Interactive Mining for Cross-Modal Similarity Learning.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Agree to Disagree: Exploring Partial Semantic Consistency Against Visual Deviation for Compositional Zero-Shot Learning.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Robust Commonsense Reasoning Against Noisy Labels Using Adaptive Correction.
IEEE Trans. Cybern., July, 2024

Asynchronous Parallel Large-Scale Gaussian Process Regression.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

EvolveKG: a general framework to learn evolving knowledge graphs.
Frontiers Comput. Sci., June, 2024

University-industry collaboration portfolio concentration and focal firms' innovation performance: evidence from China.
Technol. Anal. Strateg. Manag., May, 2024

Parameter-Agnostic Deep Graph Clustering.
ACM Trans. Knowl. Discov. Data, April, 2024

Incremental Embedding Learning With Disentangled Representation Translation.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

TIB: Detecting Unknown Objects via Two-Stream Information Bottleneck.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

RWE: A Random Walk Based Graph Entropy for the Structural Complexity of Directed Networks.
IEEE Trans. Netw. Sci. Eng., 2024

Dual-Stream Contrastive Learning for Compositional Zero-Shot Recognition.
IEEE Trans. Multim., 2024

Implicit Compositional Generative Network for Length-Variable Co-Speech Gesture Synthesis.
IEEE Trans. Multim., 2024

Prototype-Decomposed Knowledge Distillation for Learning Generalized Federated Representation.
IEEE Trans. Multim., 2024

Few-Shot Generative Model Adaptation via Style-Guided Prompt.
IEEE Trans. Multim., 2024

Rethinking Noise Sampling in Class-Imbalanced Diffusion Models.
IEEE Trans. Image Process., 2024

Unsupervised Out-of-Distribution Object Detection via PCA-Driven Dynamic Prototype Enhancement.
IEEE Trans. Image Process., 2024

Class-Incremental Unsupervised Domain Adaptation via Pseudo-Label Distillation.
IEEE Trans. Image Process., 2024

Multi-Relational Deep Hashing for Cross-Modal Search.
IEEE Trans. Image Process., 2024

Invisible Backdoor Attack With Dynamic Triggers Against Person Re-Identification.
IEEE Trans. Inf. Forensics Secur., 2024

Self-Supervised Graph Embedding Clustering.
CoRR, 2024

Good Idea or Not, Representation of LLM Could Tell.
CoRR, 2024

AceParse: A Comprehensive Dataset with Diverse Structured Texts for Academic Literature Parsing.
CoRR, 2024

Multimodal Fusion on Low-quality Data: A Comprehensive Survey.
CoRR, 2024

High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning.
CoRR, 2024

Fuzzy K-Means Clustering without Cluster Centroids.
CoRR, 2024

Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization.
CoRR, 2024

NovelQA: A Benchmark for Long-Range Novel Question Answering.
CoRR, 2024

AceMap: Knowledge Discovery through Academic Graph.
CoRR, 2024

One-Step Multi-View Clustering Based on Transition Probability.
CoRR, 2024

Entropy-Regularized Token-Level Policy Optimization for Large Language Models.
CoRR, 2024

Do You Guys Want to Dance: Zero-Shot Compositional Human Dance Generation with Multiple Persons.
CoRR, 2024

GeoGalactica: A Scientific Large Language Model in Geoscience.
CoRR, 2024

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

3D Molecular Geometry Analysis with 2D Graphs.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Label Learning Method Based on Tensor Projection.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Navigating Continual Test-time Adaptation with Symbiosis Knowledge.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Retrieval Across Any Domains via Large-scale Pre-trained Model.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Language Model as a Design Assistant for UI Design Recommendation and Evaluation.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Robust Noisy Correspondence Learning with Equivariant Similarity Consistency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Long-Tail Class Incremental Learning via Independent SUb-Prototype Construction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LLM Knows Body Language, Too: Translating Speech Voices into Human Gestures.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Bilateral Relation Distillation for Weakly Supervised Temporal Action Localization.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Group Contrastive Self-Supervised Learning on Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Deep Multiview Collaborative Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2023

Adaptive Bias-Aware Feature Generation for Generalized Zero-Shot Learning.
IEEE Trans. Multim., 2023

A Decomposable Causal View of Compositional Zero-Shot Learning.
IEEE Trans. Multim., 2023

Point-Supervised Video Temporal Grounding.
IEEE Trans. Multim., 2023

Adaptive Hierarchical Similarity Metric Learning With Noisy Labels.
IEEE Trans. Image Process., 2023

Frequency domain regularization for iterative adversarial attacks.
Pattern Recognit., 2023

Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Knowledge complexity and team information processing: the mediating role of team learning goal orientation.
J. Knowl. Manag., 2023

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.
CoRR, 2023

Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph.
CoRR, 2023

FMGNN: Fused Manifold Graph Neural Network.
CoRR, 2023

PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model.
CoRR, 2023

Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Deep Bayesian Quantization for Supervised Neuroimage Search.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Hierarchical Prompt Learning for Compositional Zero-Shot Recognition.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Exploring Safety Supervision for Continual Test-time Domain Adaptation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Alarm Association Mining Model Based on Merging Strategy.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Discriminating Known from Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Similarity Distribution Based Membership Inference Attack on Person Re-identification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Design and Realization of Stepping Motor Drive System Controlled by Single-Chip Microcomputer.
Wirel. Pers. Commun., 2022

Faster Stochastic Quasi-Newton Methods.
IEEE Trans. Neural Networks Learn. Syst., 2022

Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Evolving Bipartite Model Reveals the Bounded Weights in Mobile Social Networks.
IEEE Trans. Mob. Comput., 2022

Object-Agnostic Transformers for Video Referring Segmentation.
IEEE Trans. Image Process., 2022

HiSA: Hierarchically Semantic Associating for Video Temporal Grounding.
IEEE Trans. Image Process., 2022

Incremental Zero-Shot Learning.
IEEE Trans. Cybern., 2022

Exploring the antecedents and consequences of effectuation in NPD: the moderating role of firm size.
Technol. Anal. Strateg. Manag., 2022

Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Transferable Coupled Network for Zero-Shot Sketch-Based Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Scaling Up Generalized Kernel Methods.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A survey on multimodal-guided visual content synthesis.
Neurocomputing, 2022

RELAXNet: Residual efficient learning and attention expected fusion network for real-time semantic segmentation.
Neurocomputing, 2022

MSR: Making Self-supervised learning Robust to Aggressive Augmentations.
CoRR, 2022

MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Attention-guided Contrastive Hashing for Long-tailed Image Retrieval.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

IIoT-based Predictive Maintenance for Oil and Gas Industry.
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mutual Quantization for Cross-Modal Search with Noisy Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data.
IEEE Trans. Neural Networks Learn. Syst., 2021

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients.
IEEE Trans. Neural Networks Learn. Syst., 2021

Sparse Modal Additive Model.
IEEE Trans. Neural Networks Learn. Syst., 2021

Staged Sketch-to-Image Synthesis via Semi-supervised Generative Adversarial Networks.
IEEE Trans. Multim., 2021

Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification.
IEEE Trans. Image Process., 2021

Multi-Sentence Auxiliary Adversarial Networks for Fine-Grained Text-to-Image Synthesis.
IEEE Trans. Image Process., 2021

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification.
Mach. Learn., 2021

Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity.
J. Mach. Learn. Res., 2021

Learning semantic priors for texture-realistic sketch-to-image synthesis.
Neurocomputing, 2021

Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs.
CoRR, 2021

Doubly Contrastive Deep Clustering.
CoRR, 2021

Universal-Prototype Augmentation for Few-Shot Object Detection.
CoRR, 2021

Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Debiased Contrastive Learning with Joint Representation Clustering.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Adversarial Attack on Deep Cross-Modal Hamming Retrieval.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Hyperbolic Metric Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Nearest Neighbor Matching for Deep Clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

GAKG: A Multimodal Geoscience Academic Knowledge Graph.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Incremental Embedding Learning via Zero-Shot Translation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Generalized Zero-Shot Learning via Disentangled Representation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Class-Incremental Instance Segmentation via Multi-Teacher Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model.
IEEE Trans. Neural Networks Learn. Syst., 2020

Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search.
IEEE Trans. Neural Networks Learn. Syst., 2020

Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking.
IEEE Trans. Multim., 2020

Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval.
IEEE Trans. Image Process., 2020

Category-Aware Spatial Constraint for Weakly Supervised Detection.
IEEE Trans. Image Process., 2020

Progressive Cross-Modal Semantic Network for Zero-Shot Sketch-Based Image Retrieval.
IEEE Trans. Image Process., 2020

Passive Integration Using FMLF Technique for Integrated Boost Resonant Converters.
IEEE Trans. Ind. Electron., 2020

Adversarial Examples for Hamming Space Search.
IEEE Trans. Cybern., 2020

Graph based semi-supervised classification with probabilistic nearest neighbors.
Pattern Recognit. Lett., 2020

A Unified q-Memorization Framework for Asynchronous Stochastic Optimization.
J. Mach. Learn. Res., 2020

Object and background disentanglement for unsupervised cross-domain person re-identification.
Neurocomputing, 2020

Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning.
CoRR, 2020

Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval.
CoRR, 2020

Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Learning for Robust Deep Clustering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Lifelong Zero-Shot Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Unseen Concepts via Hierarchical Decomposition and Composition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Projection & Probability-Driven Black-Box Attack.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Transferable Targeted Attack.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multi-Scale Fusion Subspace Clustering Using Similarity Constraint.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics.
ACM Trans. Intell. Syst. Technol., 2019

Unsupervised Semantic-Preserving Adversarial Hashing for Image Search.
IEEE Trans. Image Process., 2019

Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

Adaptive graph weighting for multi-view dimensionality reduction.
Signal Process., 2019

Adaptive-weighting discriminative regression for multi-view classification.
Pattern Recognit., 2019

Chinese Conference on Computer Vision 2017.
Neurocomputing, 2019

Fully-Featured Attribute Transfer.
CoRR, 2019

Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning.
CoRR, 2019

Cross-Modal Learning with Adversarial Samples.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Convolutional Network Hashing for Cross-Modal Retrieval.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Zero-shot Metric Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hypergraph Induced Convolutional Manifold Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition.
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

Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Spectral Clustering Using Dual Autoencoder Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Asymmetric Metric Learning via Rich Relationship Mining.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Towards Visual Feature Translation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Balanced Self-Paced Learning for Generative Adversarial Clustering Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Cross Domain Model Compression by Structurally Weight Sharing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Orthogonality-Promoting Dictionary Learning via Bayesian Inference.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Shared Predictive Cross-Modal Deep Quantization.
IEEE Trans. Neural Networks Learn. Syst., 2018

Triplet-Based Deep Hashing Network for Cross-Modal Retrieval.
IEEE Trans. Image Process., 2018

Compressed multi-scale feature fusion network for single image super-resolution.
Signal Process., 2018

Active multi-kernel domain adaptation for hyperspectral image classification.
Pattern Recognit., 2018

Self-adaptive implicit contention window adjustment mechanism for QoS optimization in wireless sensor networks.
J. Netw. Comput. Appl., 2018

Bilevel Distance Metric Learning for Robust Image Recognition.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

New Robust Metric Learning Model Using Maximum Correntropy Criterion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semantic Structure-based Unsupervised Deep Hashing.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-Level Metric Learning via Smoothed Wasserstein Distance.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Joint Semantic-Embedding Hashing.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Complementary Binary Quantization for Joint Multiple Indexing.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep View-Aware Metric Learning for Person Re-Identification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines.
Proceedings of the 35th International Conference on Machine Learning, 2018

Direct Shape Regression Networks for End-to-End Face Alignment.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Unsupervised Deep Generative Adversarial Hashing Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The Effects of Adding Search Functionality to Interactive Visualizations on the Web.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

New l<sub>2, 1</sub>-Norm Relaxation of Multi-Way Graph Cut for Clustering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Dictionary Learning in Optimal Metric Space.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
HindSight: Encouraging Exploration through Direct Encoding of Personal Interaction History.
IEEE Trans. Vis. Comput. Graph., 2017

Discriminative Multi-instance Multitask Learning for 3D Action Recognition.
IEEE Trans. Multim., 2017

Distributed Adaptive Binary Quantization for Fast Nearest Neighbor Search.
IEEE Trans. Image Process., 2017

Latent Max-Margin Multitask Learning With Skelets for 3-D Action Recognition.
IEEE Trans. Cybern., 2017

Robust Sparse Coding for Mobile Image Labeling on the Cloud.
IEEE Trans. Circuits Syst. Video Technol., 2017

Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization.
IEEE Trans. Circuits Syst. Video Technol., 2017

Image sharpening detection based on multiresolution overshoot artifact analysis.
Multim. Tools Appl., 2017

Exploring hybrid spatio-temporal convolutional networks for human action recognition.
Multim. Tools Appl., 2017

A novel metric based on changes in pareto domination ratio for objective reduction of many-objective optimization problems.
J. Exp. Theor. Artif. Intell., 2017

Special issue on selected and extended papers from the 2015 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2015).
Neurocomputing, 2017

Assisting Attraction Classification by Harvesting Web Data.
IEEE Access, 2017

Learning A Structured Optimal Bipartite Graph for Co-Clustering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Group Sparse Additive Machine.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

How Unlabeled Web Videos Help Complex Event Detection?
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Boosting Complementary Hash Tables for Fast Nearest Neighbor Search.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution.
IEEE Trans. Neural Networks Learn. Syst., 2016

Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval.
IEEE Trans. Multim., 2016

Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search.
IEEE Trans. Image Process., 2016

Query-Adaptive Reciprocal Hash Tables for Nearest Neighbor Search.
IEEE Trans. Image Process., 2016

Structure Sensitive Hashing With Adaptive Product Quantization.
IEEE Trans. Cybern., 2016

Multi-task human action recognition via exploring super-category.
Signal Process., 2016

A learning-to-rank approach for image scaling factor estimation.
Neurocomputing, 2016

Attraction recommendation: Towards personalized tourism via collective intelligence.
Neurocomputing, 2016

Performance analysis and simulation verification of S-MAC for wireless sensor networks.
Comput. Electr. Eng., 2016

A Short Survey of Recent Advances in Graph Matching.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Hyperspectral image super-resolution using sparse spectral unmixing and low-rank constraints.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Joint Coupled-Hashing Representation for Cross-Modal Retrieval.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Multilinear Hyperplane Hashing.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

New l1-Norm Relaxations and Optimizations for Graph Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
An evaluation of non-redundant objective sets based on the spatial similarity ratio.
Soft Comput., 2015

Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing.
Signal Process., 2015

Adaptive multi-bit quantization for hashing.
Neurocomputing, 2015

Recognizing Human Actions by Sharing Knowledge in Implicit Action Groups.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

Discriminative Latent Feature Space Learning for Cross-Modal Retrieval.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Coupled Dictionary Learning with Common Label Alignment for Cross-Modal Retrieval.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Joint-based multi-task sparse learning for human action recognition.
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

Multi-View Complementary Hash Tables for Nearest Neighbor Search.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Coupled fisher discrimination dictionary learning for single image super-resolution.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Optimizing Bag Features for Multiple-Instance Retrieval.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Weakly Supervised Multi-Graph Learning for Robust Image Reranking.
IEEE Trans. Multim., 2014

Image scaling factor estimation based on normalized energy density and learning to rank.
Proceedings of the Proceedings IEEE International Conference on Security, 2014

Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Linear Regression Fisher Discrimination Dictionary Learning for Hyperspectral Image Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Image Super-resolution Based on Sparse Representation With Joint Constraints.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

Image super-resolution using multi-layer support vector regression.
Proceedings of the IEEE International Conference on Acoustics, 2014

Collaborative Hashing.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

SAR image classification based on texture feature fusion.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013
Desynchronization attacks resilient image watermarking scheme based on global restoration and local embedding.
Neurocomputing, 2013

Towards Conformance Testing of Choreography Based on Scenario.
Proceedings of the Seventh International Symposium on Theoretical Aspects of Software Engineering, 2013

Query-dependent visual dictionary adaptation for image reranking.
Proceedings of the ACM Multimedia Conference, 2013

Learning to multimodal hash for robust video copy detection.
Proceedings of the IEEE International Conference on Image Processing, 2013

Image super resolution using Gaussian Process Regression with patch clustering.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Visual Reranking through Weakly Supervised Multi-graph Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking.
IEEE Trans. Image Process., 2012

Content-adaptive reliable robust lossless data embedding.
Neurocomputing, 2012

Robust video fingerprinting using local spatio-temporal features.
Proceedings of the International Conference on Computing, Networking and Communications, 2012

2011
Robust Image Watermarking Based on Feature Regions.
Proceedings of the Multimedia Analysis, Processing and Communications, 2011

An Image Quality Metric Based on Biologically Inspired Feature Model.
Int. J. Image Graph., 2011

Robust curvelet-domain image watermarking based on feature matching.
Int. J. Comput. Math., 2011

The Design of Dissolved Oxygen Detection System Based on C8051F020.
Proceedings of the Second International Conference on Digital Manufacturing and Automation, 2011

2010
Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions.
IEEE Trans. Syst. Man Cybern. Part C, 2010

Local histogram based geometric invariant image watermarking.
Signal Process., 2010

Histogram modification based robust image watermarking approach.
Int. J. Multim. Intell. Secur., 2010

Local Feature Based Geometric-Resistant Image Information Hiding.
Cogn. Comput., 2010

Color image quality assessment with biologically inspired feature and machine learning.
Proceedings of the Visual Communications and Image Processing 2010, 2010

Robust lossless data hiding: Analysis and evaluation.
Proceedings of the 2010 International Conference on High Performance Computing & Simulation, 2010

A study on feature extraction of parallel immune genetic clustering algorithm based on clustering center optimization.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Reliable embedding for robust reversible watermarking.
Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010

2009
A local Tchebichef moments-based robust image watermarking.
Signal Process., 2009

Reversible Watermarking Based on Statistical Quantity Histogram.
Proceedings of the Advances in Multimedia Information Processing, 2009

Sinusoidal Signals Pattern Based Robust Video Watermarking in the 3D-CWT Domain.
Proceedings of the Fifth International Conference on Information Assurance and Security, 2009

2008
Three Modulation Modes of SVM for AC-AC Matrix Converter.
Proceedings of the 2008 IEEE Conference on Robotics, Automation and Mechatronics, 2008

Geometrically invariant watermarking using affine covariant regions.
Proceedings of the International Conference on Image Processing, 2008

Invariant Image Watermarking Based on Local Feature Regions.
Proceedings of the International Conference on Cyberworlds 2008, 2008

2007
Development of a Confocal Optical System Design for Molecular Imaging Applications of Biochip.
Int. J. Biomed. Imaging, 2007


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