Yao, Yinghua

8 publications

ICLR 2026 Sample Reward Soups: Query-Efficient Multi-Reward Guidance for Text-to-Image Diffusion Models Yinghua Yao, Yuangang Pan, Guoji Fu, Ivor Tsang

ICLR 2026 TS$^2$: Training with Sparsemax+, Testing with SoftMax for Accurate and Diverse LLM Fine-Tuning XuZiyang, Ananthu Rajendran Pillai, Yinghua Yao, Yuangang Pan

IJCAI 2025 Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space Yinghua Yao, Yuangang Pan, Xixian Chen

IJCAI 2025 Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai

JMLR 2024 Generative Adversarial Ranking Nets Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

CPAL 2024 PC-X: Profound Clustering via Slow Exemplars Yuangang Pan, Yinghua Yao, Ivor Tsang

MLJ 2024 PROUD: PaRetO-gUided Diffusion Model for Multi-Objective Generation Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

MLJ 2024 Sanitized Clustering Against Confounding Bias Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao