Liang Hou

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I am currently a senior algorithm engineer in the Visual Generation Team at Kuaishou Technology. In June 2023, I obtained my Ph.D. degree in computer science from the Data Intelligence System Research Center at Institute of Computing Technology, Chinese Academy of Sciences, under the supervision of Prof. Xueqi Cheng. In June 2017, I received my B.S. degree in computer science from the School of Computer Science at Sichuan University. My current research interests include deep generative models and image/video generation.

We are looking for self-motivated interns at Kuaishou Technology. Please feel free to contact me via email if you are interested.

Selected Publications

TEA: Test-time Energy Adaptation
Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
CVPR 2024 [paper] [code]

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
AAAI 2024 [paper] [code]

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng
NeurIPS 2023 [paper] [code]

Conditional GANs with Auxiliary Discriminative Classifier
Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng
ICML 2022 [paper] [code]

Self-Supervised GANs with Label Augmentation
Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng
NeurIPS 2021 [paper] [code]

Slimmable Generative Adversarial Networks
Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang
AAAI 2021 [paper] [code]

SDGNN: Learning Node Representation for Signed Directed Networks
Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng
AAAI 2021 [paper] [code]

Adversarial Immunization for Certifiable Robustness on Graphs
Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng
WSDM 2021 [paper] [code]

Dual Rejection Sampling for Wasserstein Auto-Encoders
Liang Hou, Huawei Shen, Xueqi Cheng
ECAI 2020 [paper]

Signed Graph Attention Networks
Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng
ICANN 2019 [paper] [code]

Academic Services

Conference Reviewers: NeurIPS 2022 -- 2023; ICML 2022 -- 2024; IJCAI 2022 -- 2024; ICLR 2024; CVPR 2024; SIGGRAPH 2024