Shaoan Xie

According to our database, Shaoan Xie authored at least 36 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Dialogue between Causal and Traditional Representation Learning: Toward Mutual Benefits in a Unified Formulation.

Yan Li, Yuewen Sun, Shaoan Xie, Gongxu Luo, Yunlong Deng, Kun Zhang, Guangyi Chen

CoRR, May, 2026

From Generalist to Specialist Representation.

Yujia Zheng, Fan Feng, Yuke Li, Shaoan Xie, Kevin Murphy, Kun Zhang

CoRR, May, 2026

The Power of Order: Fooling LLMs with Adversarial Table Permutations.

Xinshuai Dong, Haifeng Chen, Xuyuan Liu, Shengyu Chen, Haoyu Wang, Shaoan Xie, Kun Zhang, Zhengzhang Chen

CoRR, May, 2026

SEDGE: Structural Extrapolated Data Generation.

Kun Zhang, Jiaqi Sun, Yiqing Li, Ignavier Ng, Namrata Deka, Shaoan Xie

CoRR, April, 2026

From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization.

Guanglin Zhou, Zhongyi Han, Shaoan Xie, Shiming Chen, Biwei Huang, Liming Zhu, Xinbo Gao, Lina Yao, Salman H. Khan

Int. J. Comput. Vis., January, 2026

Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards.

Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality.

Lingjing Kong, Shaoan Xie, Guangyi Chen, Yuewen Sun, Xiangchen Song, Eric P. Xing, Kun Zhang

CoRR, December, 2025

Learning by Analogy: A Causal Framework for Composition Generalization.

Lingjing Kong, Shaoan Xie, Yang Jiao, Yetian Chen, Yanhui Guo, Simone Shao, Yan Gao, Guangyi Chen, Kun Zhang

CoRR, December, 2025

Step-Aware Policy Optimization for Reasoning in Diffusion Large Language Models.

Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang

CoRR, October, 2025

SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.

Shaoan Xie, Lingjing Kong, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang

CoRR, July, 2025

Controllable Video Generation with Provable Disentanglement.

Yifan Shen, Peiyuan Zhu, Zijian Li, Shaoan Xie, Zeyu Tang, Namrata Deka, Zongfang Liu, Guangyi Chen, Kun Zhang

CoRR, February, 2025

Learning Vision and Language Concepts for Controllable Image Generation.

Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Nonparametric Identification of Latent Concepts.

Yujia Zheng, Shaoan Xie, Kun Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning.

Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.

Shaoan Xie, Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Causal Representation Learning from General Environments under Nonparametric Mixing.

Ignavier Ng, Shaoan Xie, Xinshuai Dong, Peter Spirtes, Kun Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Causal Representation Learning from Multiple Distributions: A General Setting.

Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models.

Shaoan Xie, Yang Zhao, Zhisheng Xiao, Kelvin C. K. Chan, Yandong Li, Yanwu Xu, Kun Zhang, Tingbo Hou

CoRR, 2023

Partial Identifiability for Domain Adaptation.

Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang

CoRR, 2023

Advancing Counterfactual Inference through Quantile Regression.

Shaoan Xie, Biwei Huang, Bin Gu, Tongliang Liu, Kun Zhang

CoRR, 2023

Semi-Implicit Denoising Diffusion Models (SIDDMs).

Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-domain image generation and translation with identifiability guarantees.

Shaoan Xie, Lingjing Kong, Mingming Gong, Kun Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model.

Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unpaired Image-to-Image Translation with Shortest Path Regularization.

Shaoan Xie, Yanwu Xu, Mingming Gong, Kun Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Image-to-Image Translation with Density Changing Regularization.

Shaoan Xie, Qirong Ho, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation.

Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Partial disentanglement for domain adaptation.

Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang

Proceedings of the International Conference on Machine Learning, 2022

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation.

Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision.

Yanwu Xu, Mingming Gong, Shaoan Xie, Kayhan Batmanghelich

CoRR, 2021

Unaligned Image-to-Image Translation by Learning to Reweight.

Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

An overview on smart contracts: Challenges, advances and platforms.

Zibin Zheng, Shaoan Xie, Hong-Ning Dai, Weili Chen, Xiangping Chen, Jian Weng, Muhammad Imran

Future Gener. Comput. Syst., 2020

Blockchain for cloud exchange: A survey.

Shaoan Xie, Zibin Zheng, Weili Chen, Jiajing Wu, Hong-Ning Dai, Muhammad Imran

Comput. Electr. Eng., 2020

2019

Digging into it: Community detection via hidden attributes analysis.

Li Rui Jie, Fanghua Ye, Shaoan Xie, Chuan Chen, Zibin Zheng

Neurocomputing, 2019

2018

Blockchain challenges and opportunities: a survey.

Zibin Zheng, Shaoan Xie, Hong-Ning Dai, Xiangping Chen, Huaimin Wang

Int. J. Web Grid Serv., 2018

Learning Semantic Representations for Unsupervised Domain Adaptation.

Shaoan Xie, Zibin Zheng, Liang Chen, Chuan Chen

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends.

Zibin Zheng, Shaoan Xie, Hongning Dai, Xiangping Chen, Huaimin Wang

Proceedings of the 2017 IEEE International Congress on Big Data, 2017