FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding. - Yutai Hou; Jiafeng Mao; Yongkui Lai; Cheng Chen; Wanxiang Che; Zhigang Chen 003; Ting Liu 001 (CoRR, 2020)

Noisy Annotation Refinement for Object Detection. - Jiafeng Mao; Qing Yu; Yoko Yamakata; Kiyoharu Aizawa (BMVC, 2021)

Noisy Localization Annotation Refinement for Object Detection. - Jiafeng Mao; Qing Yu; Kiyoharu Aizawa (IEICE Trans. Inf. Syst., 2021)

Training-Free Location-Aware Text-to-Image Synthesis. - Jiafeng Mao; Xueting Wang (ICIP, 2023)

Noise-Avoidance Sampling for Annotation Missing Object Detection. - Jiafeng Mao; Qing Yu; Go Irie; Kiyoharu Aizawa (ICIP, 2023)

Guided Image Synthesis via Initial Image Editing in Diffusion Model. - Jiafeng Mao; Xueting Wang; Kiyoharu Aizawa (ACM Multimedia, 2023)

Semantic-Driven Initial Image Construction for Guided Image Synthesis in Diffusion Model. - Jiafeng Mao; Xueting Wang; Kiyoharu Aizawa (CoRR, 2023)

The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization. - Jiafeng Mao; Xueting Wang; Kiyoharu Aizawa (ECCV (74), 2024)

SCOMatch: Alleviating Overtrusting in Open-Set Semi-supervised Learning. - Zerun Wang; Liuyu Xiang; Lang Huang 001; Jiafeng Mao; Ling Xiao 001; Toshihiko Yamasaki (ECCV (51), 2024)

Dealing with Synthetic Data Contamination in Online Continual Learning. - Maorong Wang; Nicolas Michel; Jiafeng Mao; Toshihiko Yamasaki (NeurIPS, 2024)

From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data. - Zerun Wang; Jiafeng Mao; Liuyu Xiang; Toshihiko Yamasaki (CoRR, 2024)

Training-Free Sketch-Guided Diffusion with Latent Optimization. - Sandra Zhang Ding; Jiafeng Mao; Kiyoharu Aizawa (CoRR, 2024)

Reward Incremental Learning in Text-to-Image Generation. - Maorong Wang; Jiafeng Mao; Xueting Wang; Toshihiko Yamasaki (CoRR, 2024)

Training Data Synthesis with Difficulty Controlled Diffusion Model. - Zerun Wang; Jiafeng Mao; Xueting Wang; Toshihiko Yamasaki (CoRR, 2024)

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory. - Mingzhuo Li; Guang Li 008; Jiafeng Mao; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling. - Mingzhuo Li; Guang Li 008; Jiafeng Mao; Linfeng Ye; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

LORE: Latent Optimization for Precise Semantic Control in Rectified Flow-based Image Editing. - Liangyang Ouyang; Jiafeng Mao (CoRR, 2025)

Exploring Palette based Color Guidance in Diffusion Models. - Qianru Qiu; Jiafeng Mao; Xueting Wang (CoRR, 2025)

MangaDiT: Reference-Guided Line Art Colorization with Hierarchical Attention in Diffusion Transformers. - Qianru Qiu; Jiafeng Mao; Kento Masui; Xueting Wang (CoRR, 2025)