Tianhong Li

Orcid: 0000-0001-6280-6411

According to our database1, Tianhong Li authored at least 42 papers between 2004 and 2026.

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Timeline

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Bibliography

2026
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation.
CoRR, April, 2026

DREAM: Where Visual Understanding Meets Text-to-Image Generation.
CoRR, March, 2026

Generative Modeling via Drifting.
CoRR, February, 2026

Physiology as Language: Translating Respiration to Sleep EEG.
CoRR, February, 2026

One-step Latent-free Image Generation with Pixel Mean Flows.
CoRR, January, 2026

Revisiting data imbalance in token-based self-supervised learning.
Neurocomputing, 2026

Linking water quality assessment to source apportionment with machine learning-assisted WQI, PMF, and SOM: A case study of the Jinma River basin.
Ecol. Informatics, 2026

2025
Back to Basics: Let Denoising Generative Models Denoise.
CoRR, November, 2025

Latent Denoising Makes Good Visual Tokenizers.
CoRR, July, 2025

Unified Autoregressive Visual Generation and Understanding with Continuous Tokens.
CoRR, March, 2025

CellFlow: Simulating Cellular Morphology Changes via Flow Matching.
CoRR, February, 2025

Fractal Generative Models.
Trans. Mach. Learn. Res., 2025

CellFlux: Simulating Cellular Morphology Changes via Flow Matching.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Highly Compressed Tokenizer Can Generate Without Training.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
A Machine-Learning-Based Framework for Retrieving Water Quality Parameters in Urban Rivers Using UAV Hyperspectral Images.
Remote. Sens., March, 2024

Autoregressive Image Generation without Vector Quantization.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Return of Unconditional Generation: A Self-supervised Representation Generation Method.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Self-conditioned Image Generation via Generating Representations.
CoRR, 2023

Reparo: Loss-Resilient Generative Codec for Video Conferencing.
CoRR, 2023

Addressing Feature Suppression in Unsupervised Visual Representations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unsupervised Learning for Human Sensing Using Radio Signals.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Targeted Supervised Contrastive Learning for Long-Tailed Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Vibration analysis for marine radar frequency synthesis module.
Proceedings of the CAA Symposium on Fault Detection, 2021

2020
Information-Preserving Contrastive Learning for Self-Supervised Representations.
CoRR, 2020

In-Home Daily-Life Captioning Using Radio Signals.
Proceedings of the Computer Vision - ECCV 2020, 2020

Few Sample Knowledge Distillation for Efficient Network Compression.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Longterm Representations for Person Re-Identification Using Radio Signals.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Through-Wall Human Mesh Recovery Using Radio Signals.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Making the Invisible Visible: Action Recognition Through Walls and Occlusions.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Knowledge Distillation from Few Samples.
CoRR, 2018

RF-based 3D skeletons.
Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

Multi-Scale Dense Networks for Resource Efficient Image Classification.
Proceedings of the 6th International Conference on Learning Representations, 2018

Through-Wall Human Pose Estimation Using Radio Signals.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Multi-Scale Dense Convolutional Networks for Efficient Prediction.
CoRR, 2017

Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes.
Proceedings of the 30th Conference on Learning Theory, 2017

Exploring Efficient Strategies for Minesweeper.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A web-based computer aided system for liver surgery planning: initial implementation on RayPlus.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

2004
Land-use adjustment with a modified soil loss evaluation method supported by GIS.
Future Gener. Comput. Syst., 2004


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