Zhang, Bo

Vector Quantized Diffusion Model for Text-to-Image Synthesis

Gu, S., Chen, D., Bao, J., Wen, F., Zhang, B., Chen, D., Yuan, L., & Guo, B. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 720

OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations

Ouyang, L., Qu, Y., Zhou, H., Zhu, J., Zhang, R., Lin, Q., Wang, B., Zhao, Z., Jiang, M., Zhao, X., et al. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Handwritten Text Recognition TechniquesInformation Systems and Technology Applications

Cited by 61

OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations

Ouyang, L., Qu, Y., Zhou, H., Zhu, J., Zhang, R., Lin, Q., Wang, B., Zhao, Z., Jiang, M., Zhao, X., et al. (2024) · arXiv

Handwritten Text Recognition TechniquesInformation Systems and Technology Applications

Cited by 38

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

Du, S., Yan, X., Shi, J., Cao, Z., Feng, S., Liang, Z., Sun, B., Guo, X., Peng, T., Zhou, Y., et al. (2026) · arXiv

Evolutionary Algorithms and ApplicationsMachine Learning and Data Classification

Cited by 31

SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing

Yan, X., Feng, S., Yuan, J., Xia, R., Wang, B., Zhang, B., & Bai, L. (2025) · arXiv

Survey Methodology and NonresponseEducational Technology and Assessment

Cited by 8

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Niu, J., Liu, Z., Gu, Z., Wang, B., Ouyang, L., Zhao, Z., Chu, T., He, T., Wu, F., Zhang, Q., et al. (2025) · arXiv

Handwritten Text Recognition TechniquesAdvanced Neural Network Applications

Cited by 3

OmniGen2: Towards Instruction-Aligned Multimodal Generation

Wu, C., Zheng, P., Yan, R., Xiao, S., Luo, X., Wang, Y., Li, W., Jiang, X., Liu, Y., Zhou, J., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0

AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents

Du, S., Yan, X., Jiang, D., Yuan, J., Hu, Y., Li, X., He, L., Zhang, B., & Bai, L. (2025) · arXiv

Machine Learning and Data ClassificationSoftware Engineering Research

Cited by 0