Publications

Xiaoyu Wu, Jiaru Zhang, Yang Hua, Bohan Lyu, Hao Wang, Tao Song, Haibing Guan (2024). Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks. In Submission.

Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan (2024). CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. In CVPR.

Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang (2024). SPOT: Harnessing Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. In SIGKDD.

Zesong Wang, Jiaru Zhang, Hao Wang, Tao Song, Huai-an Su, Rui Chen, Yang Hua, Xiangwei Zhou, Ruhui Ma, Miao Pan, Haibing Guan (2023). THOR: Generic Energy Estimation for On-device Training. In Submission.

Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan (2023). Information Bound and its Applications in Bayesian Neural Networks. In ECAI.

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Jiaru Zhang, Rui Ding, Qiang Fu, Bojun Huang, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang (2023). Supervised Learning of Identifiable Causal Structures. In Submission.

Xiaoyu Wu, Yang Hua, Tao Song, Hao Wang, Jiaru Zhang, Zhengui Xue, Ruhui Ma, Haibing Guan (2023). All Frequency Components Matter: A Learnable Frequency Component Compression Framework for Adversarial Defense. In Submission.

Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan (2023). Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. In ICML, oral.

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Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan (2022). Improving Bayesian Neural Networks by Adversarial Sampling. In AAAI.

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Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, Haibing Guan (2022). Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data. ACM TDS.

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Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan (2021). Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization. In CVPR.

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Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Ruhui Ma, Haibing Guan (2019). Generalized Tensor-based Multiple Feature Fusion Network using Block Decomposition. Preprint.

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