Hao Chen

Orcid: 0000-0002-3424-835X

Affiliations:

Carnegie Mellon University, PA, USA

According to our database¹, Hao Chen authored at least 59 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Impact of Noisy Supervision in Foundation Model Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation.

[BibT_eX]

[DOI]

CoRR, June, 2025

Unleashing Hour-Scale Video Training for Long Video-Language Understanding.

[BibT_eX]

[DOI]

CoRR, June, 2025

Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, May, 2025

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization.

[BibT_eX]

[DOI]

CoRR, May, 2025

CAARMA: Class Augmentation with Adversarial Mixup Regularization.

[BibT_eX]

[DOI]

CoRR, March, 2025

Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis.

[BibT_eX]

[DOI]

CoRR, March, 2025

On the robustness of multimodal language model towards distractions.

[BibT_eX]

[DOI]

CoRR, February, 2025

Understanding and Mitigating the Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks.

[BibT_eX]

[DOI]

CoRR, February, 2025

On Fairness of Unified Multimodal Large Language Model for Image Generation.

[BibT_eX]

[DOI]

Bhiksha Raj Ramakrishnan

Wensheng Zhang

CoRR, February, 2025

ImageFolder: Autoregressive Image Generation with Folded Tokens.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A Survey on Evaluation of Large Language Models.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., June, 2024

Exploring Vision-Language Models for Imbalanced Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., January, 2024

PromptBench: A Unified Library for Evaluation of Large Language Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2024

XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation.

[BibT_eX]

[DOI]

CoRR, 2024

TableGPT2: A Large Multimodal Model with Tabular Data Integration.

[BibT_eX]

[DOI]

CoRR, 2024

On the Diversity of Synthetic Data and its Impact on Training Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Autoregressive Audio Modeling via Next-Scale Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

ControlVAR: Exploring Controllable Visual Autoregressive Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Learning with Noisy Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

On Catastrophic Inheritance of Large Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Slight Corruption in Pre-training Data Makes Better Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

[BibT_eX]

[DOI]

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents.

[BibT_eX]

[DOI]

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

Completing Visual Objects via Bridging Generation and Segmentation.

[BibT_eX]

[DOI]

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

A General Framework for Learning from Weak Supervision.

[BibT_eX]

[DOI]

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

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AgentReview: Exploring Peer Review Dynamics with LLM Agents.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

R<sup>2</sup>-Bench: Benchmarking the Robustness of Referring Perception Models Under Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Domain-Specific Features Disentanglement for Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.

[BibT_eX]

[DOI]

CoRR, 2023

Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2023

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Boosting Transductive Few-Shot Fine-tuning with Margin-based Uncertainty Weighting and Probability Regularization.

[BibT_eX]

[DOI]

Ran Tao

Hao Chen

Marios Savvides

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

3D Human Pose, Shape and Texture From Low-Resolution Images and Videos.

[BibT_eX]

[DOI]

Xiangyu Xu

Hao Chen

Francesc Moreno-Noguer

László A. Jeni

Fernando De la Torre

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

[BibT_eX]

[DOI]

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark.

[BibT_eX]

[DOI]

CoRR, 2022

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.

[BibT_eX]

[DOI]

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

Unitail: Detecting, Reading, and Matching in Retail Scene.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning.

[BibT_eX]

[DOI]

Xiangyu Xu

Hao Chen

Francesc Moreno-Noguer

László A. Jeni

Fernando De la Torre

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning.

[BibT_eX]

[DOI]

Hao Chen

Mario Valerio Giuffrida

Peter Doerner

Sotirios A. Tsaftaris

CoRR, 2019

Adversarial Large-Scale Root Gap Inpainting.

[BibT_eX]

[DOI]

Hao Chen

Mario Valerio Giuffrida

Peter Doerner

Sotirios A. Tsaftaris

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Root Gap Correction with a Deep Inpainting Model.

[BibT_eX]

[DOI]

Hao Chen

Mario Valerio Giuffrida

Sotirios A. Tsaftaris

Peter Doerner

Proceedings of the British Machine Vision Conference 2018, 2018

Hao Chen

Timeline

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