Colin Zhang

According to our database1, Colin Zhang authored at least 13 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
HoliTok:A Coutinuous Holistic Tokenization with Robust Dual Capabilities of Speech Generation and Understanding.
CoRR, May, 2026

Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual Generation.
CoRR, May, 2026

Autoregressive Visual Generation Needs a Prologue.
CoRR, May, 2026

Multimodal OCR: Parse Anything from Documents.
CoRR, March, 2026

Toward Complete Molecular Structure Prediction from Infrared Spectroscopy Using Deep Learning.
J. Chem. Inf. Model., 2026

2025
dots.ocr: Multilingual Document Layout Parsing in a Single Vision-Language Model.
CoRR, December, 2025

Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction.
CoRR, May, 2025

David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models.
CoRR, 2024

Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models.
CoRR, 2024

2023
Predicting Drug Solubility Using Different Machine Learning Methods - Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network.
CoRR, 2023

Developing novel ligands with enhanced binding affinity for the sphingosine 1-phosphate receptor 1 using machine learning.
CoRR, 2023


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