Zhiwei Deng

Orcid: 0000-0003-1169-6376

According to our database¹, Zhiwei Deng authored at least 57 papers between 2012 and 2026.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Multi-Task Learning for Short-Term Electric Vehicle Charging Demand Forecasting: Joint Prediction of EV Count and Energy Consumption.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, May, 2026

STA-UNet: Lightweight Spectral Segmentation for Mowing Robots.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., May, 2026

Formalize, Don't Optimize: The Heuristic Trap in LLM-Generated Combinatorial Solvers.

[BibT_eX]

[DOI]

CoRR, May, 2026

2025

Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification.

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[DOI]

CoRR, October, 2025

DD-Ranking: Rethinking the Evaluation of Dataset Distillation.

[BibT_eX]

[DOI]

Baharan Mirzasoleiman

Manolis Kellis

Konstantinos N. Plataniotis

CoRR, May, 2025

ICONS: Influence Consensus for Vision-Language Data Selection.

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[DOI]

CoRR, January, 2025

Uncertainty-guided Fourier-based domain generalization for seizure prediction.

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[DOI]

Expert Syst. Appl., 2025

scHLens: a web server for hierarchically and interactively exploring single cell RNA-seq data.

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[DOI]

Briefings Bioinform., 2025

Mindscape: Multi-Perspective VR Storytelling in Interactive Psychological Thriller Experiences.

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[DOI]

Proceedings of the SIGGRAPH Asia 2025 Posters, 2025

MindEye: A VR Imagery Training System for Individuals with Acquired Visual Imagery Impairments and Mild Aphantasia.

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[DOI]

Proceedings of the SIGGRAPH Asia 2025 Posters, 2025

Through Their Eyes: A First-Person VR Experience of Alzheimer's Disease.

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[DOI]

Proceedings of the SIGGRAPH Asia 2025 Posters, 2025

Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

A Parallel Framework for Streaming Dimensionality Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., January, 2024

Vision-Language Dataset Distillation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.

[BibT_eX]

[DOI]

Maureen A. J. M. van Eijnatten

Oliver J. Gurney-Champion

Alexandra Alain-Beaudoin

Gustav Müller-Franzes

Chelsea A. H. Sargeant

Edward G. A. Henderson

Medical Image Anal., 2024

Influential Language Data Selection via Gradient Trajectory Pursuit.

[BibT_eX]

[DOI]

Zhiwei Deng

Tao Li

Yang Li

CoRR, 2024

TauAD: MRI-free Tau Anomaly Detection in PET Imaging via Conditioned Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Distributional Dataset Distillation with Subtask Decomposition.

[BibT_eX]

[DOI]

Tian Qin

Zhiwei Deng

David Alvarez-Melis

CoRR, 2024

A Label is Worth A Thousand Images in Dataset Distillation.

[BibT_eX]

[DOI]

Tian Qin

Zhiwei Deng

David Alvarez-Melis

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

What is Dataset Distillation Learning?

[BibT_eX]

[DOI]

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

Perceptual Group Tokenizer: Building Perception with Iterative Grouping.

[BibT_eX]

[DOI]

Zhiwei Deng

Ting Chen

Yang Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Devil's Advocate: Anticipatory Reflection for LLM Agents.

[BibT_eX]

[DOI]

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

2023

EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning.

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[DOI]

Eng. Appl. Artif. Intell., 2023

Unseen Image Synthesis with Diffusion Models.

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[DOI]

CoRR, 2023

Multimodal Dataset Distillation for Image-Text Retrieval.

[BibT_eX]

[DOI]

Xindi Wu

Zhiwei Deng

Olga Russakovsky

CoRR, 2023

Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models.

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[DOI]

CoRR, 2023

Boundary Guided Learning-Free Semantic Control with Diffusion Models.

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[DOI]

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

Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention.

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[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Zero-Shot Language Agent for Computer Control with Structured Reflection.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Domain Incremental Learning for EEG-Based Seizure Prediction.

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[DOI]

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks.

[BibT_eX]

[DOI]

Zhiwei Deng

Olga Russakovsky

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

2021

Dynamic Sub-graph Learning for Patch-Based Cortical Folding Classification.

[BibT_eX]

[DOI]

Zhiwei Deng

Jiong Zhang

Yonggang Shi

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

2020

Structured Label Inference for Visual Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation.

[BibT_eX]

[DOI]

Zhiwei Deng

Karthik Narasimhan

Olga Russakovsky

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

Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation.

[BibT_eX]

[DOI]

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

BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps.

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[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Policy Message Passing: A New Algorithm for Probabilistic Graph Inference.

[BibT_eX]

[DOI]

Zhiwei Deng

Greg Mori

CoRR, 2019

Continuous Graph Flow for Flexible Density Estimation.

[BibT_eX]

[DOI]

CoRR, 2019

Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis.

[BibT_eX]

[DOI]

Siddhartha S. Srinivasa

Yaser Sheikh

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

2018

Sparsely Connected Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Generic Tubelet Proposals for Action Localization.

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[DOI]

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Probabilistic Neural Programmed Networks for Scene Generation.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sparsely Aggregated Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Adaptive Appearance Rendering.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Active Learning for Structured Prediction from Partially Labeled Data.

[BibT_eX]

[DOI]

CoRR, 2017

LabelBank: Revisiting Global Perspectives for Semantic Segmentation.

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[DOI]

CoRR, 2017

Factorized Variational Autoencoders for Modeling Audience Reactions to Movies.

[BibT_eX]

[DOI]

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

2016

Hierarchical Deep Temporal Models for Group Activity Recognition.

[BibT_eX]

[DOI]

Mostafa S. Ibrahim

Srikanth Muralidharan

Zhiwei Deng

Arash Vahdat

Greg Mori

CoRR, 2016

Recalling Holistic Information for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2016

A Hierarchical Deep Temporal Model for Group Activity Recognition.

[BibT_eX]

[DOI]

Mostafa S. Ibrahim

Srikanth Muralidharan

Zhiwei Deng

Arash Vahdat

Greg Mori

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Structured Inference Neural Networks with Label Relations.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Contextual Dependencies for Optical Flow with Recurrent Neural Networks.

[BibT_eX]

[DOI]

Minlong Lu

Zhiwei Deng

Ze-Nian Li

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Deep Structured Models For Group Activity Recognition.

[BibT_eX]

[DOI]

Srikanth Muralidharan

Mehrsan Javan Roshtkhari

Greg Mori

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Learning Action Primitives for Multi-level Video Event Understanding.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2012

Personalized Friend Recommendation in Social Network Based on Clustering Method.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence and Intelligent Systems, 2012

Zhiwei Deng

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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