papers

Publications (99)

cs.CV2026

ResetEdit: Precise Text-guided Editing of Generated Image via Resettable Starting Latent

Hanyi Wang, Han Fang, Zheng Wang +2

Recent advances in diffusion models have enabled high-quality image generation, leading to increasing demand for post-generation editing that modifies local regions while preservin…

cs.AI2024

Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On

Liang Zeng, Liangjun Zhong, Liang Zhao +9

In this paper, we investigate the underlying factors that potentially enhance the mathematical reasoning capabilities of large language models (LLMs). We argue that the data scalin…

quant-ph2026

Q-Tag: Watermarking Quantum Circuit Generative Models

Yang Yang, Yuzhu Long, Han Fang +4

Quantum cloud platforms have become the most widely adopted and mainstream approach for accessing quantum computing resources, due to the scarcity and operational complexity of qua…

cs.CV2026

ACPO: Anchor-Constrained Perceptual Optimization for Diffusion Models with No-Reference Quality Guidance

Yang Yang, Feifan Meng, Han Fang +1

Diffusion models have achieved remarkable success in image generation, yet their training is predominantly driven by full-reference objectives that enforce pixel-wise similarity to…

cs.LG2023

Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks

Jiyi Zhang, Han Fang, Ee-Chien Chang

In the seller-buyer setting on machine learning models, the seller generates different copies based on the original model and distributes them to different buyers, such that advers…

cs.CR2023

Mitigating Adversarial Attacks by Distributing Different Copies to Different Users

Jiyi Zhang, Han Fang, Wesley Joon-Wie Tann +3

Machine learning models are vulnerable to adversarial attacks. In this paper, we consider the scenario where a model is distributed to multiple buyers, among which a malicious buye…