Peer-reviewed Articles

2025

ICCV

Personalized Federated Learning under Local Supervision

Qiqi Liu, Jiaqiang Li, Yuchen Liu, Yaochu Jin, Lingjuan Lyu, Xiaohu Wu, and Han Yu

International Conference on Computer Vision, 2025

@article{Liu25a,
  title = {Personalized Federated Learning under Local Supervision},
  author = {Liu, Qiqi and Li, Jiaqiang and Liu, Yuchen and Jin, Yaochu and Lyu, Lingjuan and Wu, Xiaohu and Yu, Han},
  journal = {International Conference on Computer Vision},
  volume = {},
  pages = {},
  year = {2025},
  number = {},
  publisher = {},
}

ICML

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection

Huahui Yi, Wei Xu, Ziyuan Qin, Xi Chen, Xiaohu Wu, Kang Li, and Qicheng Lao

The 42nd International Conference on Machine Learning, 2025

CCF A, CORE A* Bib

@article{Yi25a,
  title = {iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection},
  author = {Yi, Huahui and Xu, Wei and Qin, Ziyuan and Chen, Xi and Wu, Xiaohu and Li, Kang and Lao, Qicheng},
  journal = {The 42nd International Conference on Machine Learning},
  year = {2025},
  volume = {},
  number = {},
  pages = {},
  publisher = {PMLR},
}

ICML

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning

Mengmeng Chen^*†, Xiaohu Wu^†, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, and Han Yu

The 42nd International Conference on Machine Learning, 2025

CCF A, CORE A* Bib

@article{chenvoronoi,
  title = {Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning},
  author = {Chen, Mengmeng and Wu, Xiaohu and Liu, Qiqi and He, Tiantian and Ong, Yew-Soon and Jin, Yaochu and Lao, Qicheng and Yu, Han},
  journal = {The 42nd International Conference on Machine Learning},
  year = {2025},
  volume = {},
  number = {},
  pages = {},
  publisher = {PMLR},
}

IEEE TSC

Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds with Online Learning

Xiaohu Wu, Han Yu, Giuliano Casale, and Guanyu Gao

IEEE Transactions on Services Computing, 2025

CCF A, CORE A*, IF 5.8 DOI Bib

@article{Wu25a,
  author = {Wu, Xiaohu and Yu, Han and Casale, Giuliano and Gao, Guanyu},
  journal = {IEEE Transactions on Services Computing},
  title = {Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds with Online Learning},
  year = {2025},
  volume = {18},
  number = {4},
  pages = {2439-2455},
  doi = {10.1109/TSC.2025.3536305},
  publisher = {IEEE},
}

2024

Book Chapter

Enhancing Causal Discovery in Federated Settings with Limited Local Samples

Xianjie Guo, Liping Yi, Xiaohu Wu, Kui Yu, and Gang Wang

In Federated Learning in the Age of Foundation Models - FL 2024 International Workshops, 2024

Outstanding Student Paper Award Bib

We receveid the Outstanding Student Paper Award at the NeurIPS 2024 workshop on federated foundation models.

@incollection{Guo24a,
  author = {Guo, Xianjie and Yi, Liping and Wu, Xiaohu and Yu, Kui and Wang, Gang},
  editor = {Yu, Han and Li, Xiaoxiao and Xu, Zenglin and Goebel, Randy and King, Irwin},
  title = {Enhancing Causal Discovery in Federated Settings with Limited Local Samples},
  booktitle = {Federated Learning in the Age of Foundation Models - FL 2024 International Workshops},
  year = {2024},
  publisher = {Springer Nature Switzerland},
  address = {Cham},
  pages = {164--179},
  isbn = {978-3-031-82240-7},
}

NeurIPS

Free-rider and conflict aware collaboration formation for cross-silo federated learning

Mengmeng Chen^*, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew Soon Ong, Qiqi Liu, Qicheng Lao, and Han Yu

Advances in Neural Information Processing Systems, 2024

CCF A, CORE A* Bib

@article{chen2024free,
  title = {Free-rider and conflict aware collaboration formation for cross-silo federated learning},
  author = {Chen, Mengmeng and Wu, Xiaohu and Tang, Xiaoli and He, Tiantian and Ong, Yew Soon and Liu, Qiqi and Lao, Qicheng and Yu, Han},
  journal = {Advances in Neural Information Processing Systems},
  volume = {37},
  pages = {54974--55004},
  year = {2024},
  number = {},
  publisher = {Curran Associates Inc.},
}

AIJ

Polarized message-passing in graph neural networks

Tiantian He, Yang Liu, Yew-Soon Ong, Xiaohu Wu, and Xin Luo

Artificial Intelligence, 2024

CCF A, CORE A* Bib

@article{he2024polarized,
  title = {Polarized message-passing in graph neural networks},
  author = {He, Tiantian and Liu, Yang and Ong, Yew-Soon and Wu, Xiaohu and Luo, Xin},
  journal = {Artificial Intelligence},
  volume = {331},
  pages = {104129},
  year = {2024},
  publisher = {Elsevier},
}

AAAI

Fedcompetitors: Harmonious collaboration in federated learning with competing participants

Shanli Tan^*†, Hao Cheng^†, Xiaohu Wu^†, Han Yu^†, Tiantian He, Yew Soon Ong, Chongjun Wang, and Xiaofeng Tao

Proceedings of the AAAI Conference on Artificial Intelligence, 2024

CCF A, CORE A* Bib

@article{Tan24a,
  title = {Fedcompetitors: Harmonious collaboration in federated learning with competing participants},
  author = {Tan, Shanli and Cheng, Hao and Wu, Xiaohu and Yu, Han and He, Tiantian and Ong, Yew Soon and Wang, Chongjun and Tao, Xiaofeng},
  journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {38},
  number = {14},
  pages = {15231--15239},
  year = {2024},
  publisher = {},
}

IEEE TBD

MarS-FL: Enabling Competitors to Collaborate in Federated Learning

Xiaohu Wu and Han Yu

IEEE Transactions on Big Data, 2024

CCF C, IF 5.7 Bib

@article{Wu24a,
  author = {Wu, Xiaohu and Yu, Han},
  journal = {IEEE Transactions on Big Data},
  title = {MarS-FL: Enabling Competitors to Collaborate in Federated Learning},
  year = {2024},
  volume = {10},
  number = {6},
  pages = {801-811},
}

Springer-Nature

Algorithms for Scheduling Deadline-Sensitive Malleable Tasks

Xiaohu Wu and Patrick Loiseau

SN Operations Research Forum, 2024

Bib

@article{Wu24b,
  journal = {SN Operations Research Forum},
  author = {Wu, Xiaohu and Loiseau, Patrick},
  title = {Algorithms for Scheduling Deadline-Sensitive Malleable Tasks},
  year = {2024},
  month = {},
  pages = {1-38},
  volume = {5},
  number = {2},
  publisher = {},
}

Book Chapter

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning

Zhilong Li^*, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, and Han Yu

In Federated Learning in the Age of Foundation Models - FL 2024 International Workshops, 2024

Bib

@incollection{Li24a,
  author = {Li, Zhilong and Wu, Xiaohu and Tang, Xiaoli and He, Tiantian and Ong, Yew-Soon and Chen, Mengmeng and Liu, Qiqi and Lao, Qicheng and Yu, Han},
  editor = {Yu, Han and Li, Xiaoxiao and Xu, Zenglin and Goebel, Randy and King, Irwin},
  title = {Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning},
  booktitle = {Federated Learning in the Age of Foundation Models - FL 2024 International Workshops},
  year = {2024},
  publisher = {Springer Nature Switzerland},
  address = {Cham},
  pages = {77--92},
  isbn = {978-3-031-82240-7},
}

2023

IEEE JBHI

Anatomically guided cross-domain repair and screening for ultrasound fetal biometry

Jun Gao, Qicheng Lao, Paul Liu, Huahui Yi, Qingbo Kang, Zekun Jiang, Xiaohu Wu, Kang Li, Yuanyuan Chen, and Le Zhang

IEEE Journal of Biomedical and Health Informatics, 2023

CCF C, CORE A*, IF 6.8 Bib

@article{Gao23a,
  title = {Anatomically guided cross-domain repair and screening for ultrasound fetal biometry},
  author = {Gao, Jun and Lao, Qicheng and Liu, Paul and Yi, Huahui and Kang, Qingbo and Jiang, Zekun and Wu, Xiaohu and Li, Kang and Chen, Yuanyuan and Zhang, Le},
  journal = {IEEE Journal of Biomedical and Health Informatics},
  volume = {27},
  number = {10},
  pages = {4914--4925},
  year = {2023},
}

IJCAI

Exploring leximin principle for fair core-selecting combinatorial auctions: payment rule design and implementation

Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, and Chongjun Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CCF A, CORE A* Bib

@article{Cheng23a,
  title = {Exploring leximin principle for fair core-selecting combinatorial auctions: payment rule design and implementation},
  author = {Cheng, Hao and Kong, Shufeng and Deng, Yanchen and Liu, Caihua and Wu, Xiaohu and An, Bo and Wang, Chongjun},
  journal = {Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence},
  volume = {},
  number = {},
  pages = {2581--2588},
  year = {2023},
  publisher = {},
}

EJOR
Efficient approximation algorithms for scheduling moldable tasks

Xiaohu Wu and Patrick Loiseau

European Journal of Operational Research, 2023

FMS A, ABDC A* Bib

EJOR has the highest rank A in the FMS Journal Rating Guide, which is jointly released by three first-class national academic societies of China. The ABDC list is the list of Australian Business Deans Council (ABDC) research journals.
@article{Wu23b, title = {Efficient approximation algorithms for scheduling moldable tasks}, author = {Wu, Xiaohu and Loiseau, Patrick}, journal = {European Journal of Operational Research}, volume = {310}, number = {1}, pages = {71--83}, year = {2023}, publisher = {Elsevier}, }

ACM ToMPECS

Delay and price differentiation in cloud computing: A service model, supporting architectures, and performance

Xiaohu Wu, Francesco De Pellegrini, and Giuliano Casale

ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) , 2023

IF 1.6 Bib

A major journal of ACM Sigmetrics

@article{Wu23a,
  title = {Delay and price differentiation in cloud computing: A service model, supporting architectures, and performance},
  author = {Wu, Xiaohu and De Pellegrini, Francesco and Casale, Giuliano},
  journal = {ACM Transactions on Modeling and Performance Evaluation of Computing Systems},
  volume = {8},
  number = {3},
  pages = {1--40},
  year = {2023},
  publisher = {ACM New York, NY},
}

IEEE MMSP

Edge-Assisted Joint Rate Adaptation and Quality Enhancement for 360-Degree Video Streaming

Kunkun Li, Guanyu Gao, Zhe Wang, and Xiaohu Wu

IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023

CORE B Bib

IEEE MMSP is a flagship event of the IEEE Signal Processing Society, sponsored by its Multimedia Signal Processing Technical Committee (MMSP TC).

@article{Li23a,
  title = {Edge-Assisted Joint Rate Adaptation and Quality Enhancement for 360-Degree Video Streaming},
  author = {Li, Kunkun and Gao, Guanyu and Wang, Zhe and Wu, Xiaohu},
  journal = {IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)},
  pages = {},
  year = {2023},
  volume = {},
  number = {},
  publisher = {IEEE},
}

2022

ACM NOSSDAV

Dynamic DNN model selection and inference off loading for video analytics with edge-cloud collaboration

Xuezhi Wang, Guanyu Gao, Xiaohu Wu, Yan Lyu, and Weiwei Wu

Proceedings of the 32nd Workshop on Network and Operating Systems Support for Digital Audio and Video, 2022

CCF B Bib

@article{Wang22a,
  title = {Dynamic DNN model selection and inference off loading for video analytics with edge-cloud collaboration},
  author = {Wang, Xuezhi and Gao, Guanyu and Wu, Xiaohu and Lyu, Yan and Wu, Weiwei},
  journal = {Proceedings of the 32nd Workshop on Network and Operating Systems Support for Digital Audio and Video},
  pages = {},
  year = {2022},
  volume = {},
  number = {},
  publisher = {ACM},
}

2021

WI-IAT

Multi-agent pickup and delivery with task deadlines

Xiaohu Wu, Y. Liu, X. Tang, W. Cai, F. Bai, G. Khonstantine, and G. Zhao

IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (long paper), 2021

CORE B; Top 10% AI conferences by NRF, SG Bib

WI-IAT is also in the Top 10% AI conferences list approved by the National Research Foundation, Singapore

@article{Wu21a,
  title = {Multi-agent pickup and delivery with task deadlines},
  author = {Wu, Xiaohu and Liu, Y. and Tang, X. and Cai, W. and Bai, F. and Khonstantine, G. and Zhao, G.},
  journal = {IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (long paper)},
  pages = {360--367},
  year = {2021},
  publisher = {ACM},
}

2019

IEEE TPDS

Toward designing cost-optimal policies to utilize IaaS clouds with online learning

Xiaohu Wu, Patrick Loiseau, and Esa Hyytiä

IEEE Transactions on Parallel and Distributed Systems, 2019

CCF A, CORE A*, IF 6.0 Bib

@article{Wu19a,
  title = {Toward designing cost-optimal policies to utilize IaaS clouds with online learning},
  author = {Wu, Xiaohu and Loiseau, Patrick and Hyyti{\"a}, Esa},
  journal = {IEEE Transactions on Parallel and Distributed Systems},
  volume = {31},
  number = {3},
  pages = {501--514},
  year = {2019},
  publisher = {IEEE},
}

ACM ToMPECS

A framework for allocating server time to spot and on-demand services in cloud computing

Xiaohu Wu, Francesco De Pellegrini, Guanyu Gao, and Giuliano Casale

ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) , 2019

IF 1.6 Bib

A major journal of ACM Sigmetrics

@article{Wu19b,
  title = {A framework for allocating server time to spot and on-demand services in cloud computing},
  author = {Wu, Xiaohu and Pellegrini, Francesco De and Gao, Guanyu and Casale, Giuliano},
  journal = {ACM Transactions on Modeling and Performance Evaluation of Computing Systems},
  volume = {4},
  number = {4},
  pages = {1--31},
  year = {2019},
  publisher = {ACM New York, NY, USA},
}

2017

PEVA

Dispatching fixed-sized jobs with multiple deadlines to parallel heterogeneous servers

Esa Hyytiä, Rhonda Righter, Olivier Bilenne, and Xiaohu Wu

Performance Evaluation (PEVA) , 2017

CCF B, IF 0.8 Bib

Performance Evaluation is a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems.

@article{Hyytia17a,
  title = {Dispatching fixed-sized jobs with multiple deadlines to parallel heterogeneous servers},
  author = {Hyyti{\"a}, Esa and Righter, Rhonda and Bilenne, Olivier and Wu, Xiaohu},
  journal = {Performance Evaluation},
  volume = {114},
  pages = {32--44},
  year = {2017},
  publisher = {Elsevier},
}

IEEE ICCAC

Toward designing cost-optimal policies to utilize IaaS clouds with online learning

Xiaohu Wu, Patrick Loiseau, and Esa Hyytiä

2017 International Conference on Cloud and Autonomic Computing (ICCAC). Conference information , 2017

DOI Bib

@article{Wu17a,
  title = {Toward designing cost-optimal policies to utilize IaaS clouds with online learning},
  author = {Wu, Xiaohu and Loiseau, Patrick and Hyyti{\"a}, Esa},
  journal = {2017 International Conference on Cloud and Autonomic Computing (ICCAC)},
  year = {2017},
  volume = {},
  number = {},
  pages = {160-171},
  doi = {10.1109/ICCAC.2017.23},
  publisher = {IEEE},
}

2015

Allerton

Algorithms for Scheduling Deadline-Sensitive Malleable Tasks

Xiaohu Wu and Patrick Loiseau

The 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton). Conference information , 2015

Bib

@article{Wu15a,
  journal = {The 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton)},
  author = {Wu, Xiaohu and Loiseau, Patrick},
  title = {Algorithms for Scheduling Deadline-Sensitive Malleable Tasks},
  year = {2015},
  month = {},
  volume = {},
  number = {},
  pages = {530-537},
  publisher = {IEEE},
}

2013

IEEE TPDS

A tag encoding scheme against pollution attack to linear network coding

Xiaohu Wu, Yinlong Xu, Chau Yuen, and Liping Xiang

IEEE Transactions on Parallel and Distributed Systems, 2013

CCF A, CORE A*, IF 6.0 Bib

@article{Wu13a,
  title = {A tag encoding scheme against pollution attack to linear network coding},
  author = {Wu, Xiaohu and Xu, Yinlong and Yuen, Chau and Xiang, Liping},
  journal = {IEEE Transactions on Parallel and Distributed Systems},
  volume = {25},
  number = {1},
  pages = {33--42},
  year = {2013},
  publisher = {IEEE},
}

2011

IEEE NetCod

A hybrid scheme against pollution attack to network coding

Xiaohu Wu, Yinlong Xu, Liping Xiang, and Wei Xu

2011 International Symposium on Networking Coding, 2011

Bib

@article{Wu11a,
  title = {A hybrid scheme against pollution attack to network coding},
  author = {Wu, Xiaohu and Xu, Yinlong and Xiang, Liping and Xu, Wei},
  journal = {2011 International Symposium on Networking Coding},
  pages = {1--4},
  year = {2011},
  volume = {},
  number = {},
  publisher = {IEEE},
}

Patent

2015

Patent

System and methods for distributed data storage

Chau Yuen, Tam Van Vo, Xiaohu Wu, Xiumin Wang, Wentu Song, Son H. Dau, and Jaume Pernas

US Patent US20150142863A1, 2015

Bib

@article{Wu15b,
  title = {System and methods for distributed data storage},
  author = {Yuen, Chau and Vo, Tam Van and Wu, Xiaohu and Wang, Xiumin and Song, Wentu and Dau, Son H. and Pernas, Jaume},
  journal = {US Patent US20150142863A1},
  volume = {},
  number = {},
  pages = {},
  year = {2015},
  url = {https://patents.google.com/patent/US20150142863A1/en},
  publisher = {Google Patents},
}

Submitted Articles

2025

Submission

Federated Learning with Competing Participants: Achieving Harmonious Collaboration with Minimal Self-Sacrifice

Xiaohu Wu, Han Yu, Mengmeng Chen, Tiantian He, Yew-Soon Ong, Qicheng Lao, and Giuliano Casale

To be submitted to JMLR, 2025

Bib

@article{Wu25pa,
  title = {Federated Learning with Competing Participants: Achieving Harmonious Collaboration with Minimal Self-Sacrifice},
  author = {Wu, Xiaohu and Yu, Han and Chen, Mengmeng and He, Tiantian and Ong, Yew-Soon and Lao, Qicheng and Casale, Giuliano},
  year = {2025},
  journal = {To be submitted to JMLR},
  volume = {},
  pages = {},
  number = {},
  publisher = {},
}

Submission

Personalized Federated Learning via Learning Dynamic Graphs

Ziran Zhou, Guanyu Gao, Xiaohu Wu, and Yan Lyu

Submitted to AAAI, 2025

Bib

@article{Zhou25pa,
  title = {Personalized Federated Learning via Learning Dynamic Graphs},
  author = {Zhou, Ziran and Gao, Guanyu and Wu, Xiaohu and Lyu, Yan},
  year = {2025},
  journal = {Submitted to AAAI},
  volume = {},
  pages = {},
  number = {},
  publisher = {},
}

Submission

pFedCoGen: Tackling Data and Model Heterogeneity in Federated Learning via Personalized Collaborative Generation

Liangyu Sun, Guanyu Gao, Yan Lyu, and Xiaohu Wu

Submitted to AAAI, 2025

Bib

@article{Sun25pa,
  title = {pFedCoGen: Tackling Data and Model Heterogeneity in Federated Learning via Personalized Collaborative Generation},
  author = {Sun, Liangyu and Gao, Guanyu and Lyu, Yan and Wu, Xiaohu},
  year = {2025},
  journal = {Submitted to AAAI},
  volume = {},
  pages = {},
  number = {},
  publisher = {},
}

Submission

Gradient-Based Federated Bayesian Optimization

Yang Lin, Qiqi Liu, Junhua Gu, Yaochu Jin, and Xiaohu Wu

Submitted, 2025

Bib

@article{Lin25pa,
  title = {Gradient-Based Federated Bayesian Optimization},
  author = {Lin, Yang and Liu, Qiqi and Gu, Junhua and Jin, Yaochu and Wu, Xiaohu},
  year = {2025},
  journal = {Submitted},
  volume = {},
  pages = {},
  number = {},
  publisher = {},
}

Submission

Stabilized Fine-Tuning with LoRA in Federated Learning: Mitigating the Side Effect of Client Size and Rank via the Scaling Factor

Jiayu Huang, Xiaohu Wu, Qicheng Lao, Guanyu Gao, Tiantian He, Yew-Soon Ong, and Han Yu

Submitted to AAAI, 2025

Bib

@article{Huang25pa,
  title = {Stabilized Fine-Tuning with LoRA in Federated Learning: Mitigating the Side Effect of Client Size and Rank via the Scaling Factor},
  author = {Huang, Jiayu and Wu, Xiaohu and Lao, Qicheng and Gao, Guanyu and He, Tiantian and Ong, Yew-Soon and Yu, Han},
  year = {2025},
  journal = {Submitted to AAAI},
  volume = {},
  pages = {},
  number = {},
  publisher = {},
}

Submission

MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning

Junjie Wang, Guangjing Yang, Wentao Chen, Huahui Yi, Xiaohu Wu, Zhouchen Lin, and Qicheng Lao

Submitted to IEEE Transactions on Image Processing, Major Revision, 2025

CCF A; IF 13.7 Bib

@article{Wang25pa,
  title = {MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning},
  author = {Wang, Junjie and Yang, Guangjing and Chen, Wentao and Yi, Huahui and Wu, Xiaohu and Lin, Zhouchen and Lao, Qicheng},
  year = {2025},
  journal = {Submitted to IEEE Transactions on Image Processing, Major Revision},
  volume = {},
  pages = {},
  number = {},
  publisher = {},
}

Submission

Learning conceptual text prompts from visual regions of interest for medical image segmentation

Zhu He^*, Haoran Zhang, Wentao Zhang, Shen Zhao, Qiqi Liu, Xiaohu Wu, and Qicheng Lao

Submitted to Engineering for the second round of review, 2025

IF 11.6 Bib

Engineering is a flagship journal of the Chinese Academy of Engineering

@article{He25pa,
  title = {Learning conceptual text prompts from visual regions of interest for medical image segmentation},
  author = {He, Zhu and Zhang, Haoran and Zhang, Wentao and Zhao, Shen and Liu, Qiqi and Wu, Xiaohu and Lao, Qicheng},
  year = {2025},
  journal = {Submitted to Engineering for the second round of review},
  volume = {},
  pages = {},
  number = {},
  publisher = {},
}

Submission

Relation-Augmented Diffusion for Layout-to-Image Generation

Xueqi Bao, Ke Li, Xiaohu Wu, Ping Ma, and Qicheng Lao

Submitted to AAAI, 2025

Bib

@article{Bao25pa,
  title = {Relation-Augmented Diffusion for Layout-to-Image Generation},
  author = {Bao, Xueqi and Li, Ke and Wu, Xiaohu and Ma, Ping and Lao, Qicheng},
  year = {2025},
  journal = {Submitted to AAAI},
  volume = {},
  pages = {},
  number = {},
  publisher = {},
}

Submission

Learning Structurally Stabilized Representations for Lossless DNA Storage

Ben Cao, Xue Li, Tiantian He, Bin Wang, Shihua Zhou, Xiaohu Wu, and Qiang Zhang

Submitted to AAAI, 2025

Bib

@article{Cao25pa,
  title = {Learning Structurally Stabilized Representations for Lossless DNA Storage},
  author = {Cao, Ben and Li, Xue and He, Tiantian and Wang, Bin and Zhou, Shihua and Wu, Xiaohu and Zhang, Qiang},
  year = {2025},
  journal = {Submitted to AAAI},
  volume = {},
  pages = {},
  number = {},
  publisher = {},
}