Zhiqiang Tao

Orcid: 0000-0002-5639-7540

According to our database1, Zhiqiang Tao authored at least 61 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval.
CoRR, 2024

SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant.
CoRR, 2024

Partial Multi-View Clustering via Self-Supervised Network.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Adversarial Multiview Clustering Networks With Adaptive Fusion.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging.
CoRR, 2023

Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

An Empirical Study of Selection Bias in Pinterest Ads Retrieval.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Learnable Subspace Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2022

Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding.
IEEE Trans. Cybern., 2022

S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction.
CoRR, 2022

A Meta-learning Approach to Fair Ranking.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Collaborative Attention Mechanism for Multi-Modal Time Series Classification.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Parameter-Efficient Masking Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dual Lottery Ticket Hypothesis.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Modeling Mask Uncertainty in Hyperspectral Image Reconstruction.
Proceedings of the Computer Vision - ECCV 2022, 2022

Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Fairness of Machine Learning in Search Engines.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency.
IEEE Trans. Image Process., 2021

Geometrically Editable Face Image Translation With Adversarial Networks.
IEEE Trans. Image Process., 2021

Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network.
CoRR, 2021

Adversarial Memory Networks for Action Prediction.
CoRR, 2021

A New Backbone for Hyperspectral Image Reconstruction.
CoRR, 2021

Automated Graph Learning via Population Based Self-Tuning GCN.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Correlative Channel-Aware Fusion for Multi-View Time Series Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Marginalized Multiview Ensemble Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2020

Adversarial Action Prediction Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Collaborative Attention Mechanism for Multi-View Action Recognition.
CoRR, 2020

Generative Partial Multi-View Clustering.
CoRR, 2020

Learning to Mutate with Hypergradient Guided Population.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-View Attribute Graph Convolution Networks for Clustering.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Automated Relational Meta-learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Robust Spectral Ensemble Clustering via Rank Minimization.
ACM Trans. Knowl. Discov. Data, 2019

Multi-View Saliency-Guided Clustering for Image Cosegmentation.
IEEE Trans. Image Process., 2019

Visual to Text: Survey of Image and Video Captioning.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Machining accuracy reliability during the peripheral milling process of thin-walled components.
Robotics Comput. Integr. Manuf., 2019

Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism.
CoRR, 2019

Consensus Clustering: An Embedding Perspective, Extension and Beyond.
CoRR, 2019

Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adversarial Graph Embedding for Ensemble Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Adversarial Multi-view Clustering Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Generative Multi-View Human Action Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Segmentation Guided Image-to-Image Translation with Adversarial Networks.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

2018
Partition Level Constrained Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Partial Multi-view Clustering via Consistent GAN.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
From Ensemble Clustering to Multi-View Clustering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Large-scale Subspace Clustering by Fast Regression Coding.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Sequential Context Networks for Action Prediction.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multi-view graph learning with adaptive label propagation.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Simultaneous Clustering and Ensemble.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Robust Spectral Ensemble Clustering.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Structured Saliency Fusion Based on Dempster-Shafer Theory.
IEEE Signal Process. Lett., 2015

A flexible framework of adaptive method selection for image saliency detection.
Pattern Recognit. Lett., 2015

2014
Self-Adaptively Weighted Co-Saliency Detection via Rank Constraint.
IEEE Trans. Image Process., 2014

Co-Saliency Detection via Base Reconstruction.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

2013
Saliency map fusion based on rank-one constraint.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013


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