Publications

2025

1. ICLR

   Towards counterfactual fairness thorough auxiliary variables

   Bowei Tian, Ziyao Wang, Shwai He, and 5 more authors

   International Conference on Learning Representations, 2025

   PDF

2024

1. ICLR

   FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent

   Ziyao Wang, Jianyu Wang, and Ang Li

   International Conference on Learning Representations, 2024

   PDF
2. ICLR

   Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

   Rong Dai, Yonggang Zhang, Ang Li, and 3 more authors

   International Conference on Learning Representations, 2024

   PDF
3. MlSys

   SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models

   Zhixu Du, Shiyu Li, Yuhao Wu, and 7 more authors

   Proceedings of Machine Learning and Systems, 2024

   PDF
4. CVPR

   MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling

   Xuzhe Zhang, Yuhao Wu, Elsa Angelini, and 10 more authors

   In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2024

   Bib PDF

   @inproceedings{zhang2024mapseg,
     title = {MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling},
     author = {Zhang, Xuzhe and Wu, Yuhao and Angelini, Elsa and Li, Ang and Guo, Jia and Rasmussen, Jerod and Connor, Thomas and Wadhwa, Pathik and Jackowski, Andrea and Li, Hai and Posner, Jonathan and Laine, Andrew and Wang, Yun},
     booktitle = {Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
     year = {2024},
   }

5. Efficient, direct, and restricted black-box graph evasion attacks to any-layer graph neural networks via influence function

   Binghui Wang, Minhua Lin, Tianxiang Zhou, and 5 more authors

   In Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
6. NeurIPS

   SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning

   Yexiao He, Ziyao Wang, Zheyu Shen, and 5 more authors

   arXiv preprint arXiv:2405.00705, 2024

   PDF Code
7. Demystifying the Compression of Mixture-of-Experts Through a Unified Framework

   Shwai He, Daize Dong, Liang Ding, and 1 more author

   arXiv preprint arXiv:2406.02500, 2024
8. What matters in transformers? not all attention is needed

   Shwai He, Guoheng Sun, Zheyu Shen, and 1 more author

   arXiv preprint arXiv:2406.15786, 2024
9. Splitlora: A split parameter-efficient fine-tuning framework for large language models

   Zheng Lin, Xuanjie Hu, Yuxin Zhang, and 6 more authors

   arXiv preprint arXiv:2407.00952, 2024
10. Mllm-fl: Multimodal large language model assisted federated learning on heterogeneous and long-tailed data

    Jianyi Zhang, Hao Frank Yang, Ang Li, and 5 more authors

    arXiv preprint arXiv:2409.06067, 2024
11. NeurIPS

    Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations

    Ziyao Wang, Zheyu Shen, Yexiao He, and 4 more authors

    arXiv preprint arXiv:2409.05976, 2024

    PDF Code
12. t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving

    Pengfei Hu, Yuhang Qian, Tianyue Zheng, and 5 more authors

    IEEE Transactions on Mobile Computing, 2024
13. Federated large language models: Current progress and future directions

    Yuhang Yao, Jianyi Zhang, Junda Wu, and 8 more authors

    arXiv preprint arXiv:2409.15723, 2024
14. Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies

    Peiran Wang, Qiyu Li, Longxuan Yu, and 3 more authors

    In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024
15. Merit: Multimodal wearable vital sign waveform monitoring

    Yongyang Tang, Zhe Chen, Ang Li, and 6 more authors

    arXiv preprint arXiv:2410.00392, 2024
16. Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers

    Shwai He, Tao Ge, Guoheng Sun, and 4 more authors

    arXiv preprint arXiv:2410.13184, 2024
17. Domino: Eliminating Communication in LLM Training via Generic Tensor Slicing and Overlapping

    Guanhua Wang, Chengming Zhang, Zheyu Shen, and 2 more authors

    arXiv preprint arXiv:2409.15241, 2024
18. Recipient-Aware Photo Automatic Deletion Control Policy Recommendation Scheme in Online Social Networks

    Haiyang Luo, Zhe Sun, Yunqing Sun, and 4 more authors

    IEEE Transactions on Dependable and Secure Computing, 2024
19. MobiCom

    Federated Black-box Prompt Tuning System for Large Language Models on the Edge

    Yiming Li, Jingwei Sun, Yudong Liu, and 7 more authors

    In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024
20. Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias

    Bowei Tian, Yexiao He, Meng Liu, and 8 more authors

    arXiv preprint arXiv:2412.04739, 2024

    PDF
21. One Communication Round is All It Needs for Federated Fine-Tuning Foundation Models

    Ziyao Wang, Bowei Tian, Yexiao He, and 3 more authors

    arXiv preprint arXiv:2412.04650, 2024

    PDF
22. ADEAS: Authentication Using Doppler Effect of Acoustic Signals Caused by Hands Moving

    Zhenyang Guo, Hao Yan, Jin Cao, and 4 more authors

    IEEE Internet of Things Journal, 2024

2023

1. WACV

   Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation

   Likun Zhang, Yahong Chen, Ang Li, and 5 more authors

   In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

   Bib PDF

   @inproceedings{zhang2023interpreting,
     title = {Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation},
     author = {Zhang, Likun and Chen, Yahong and Li, Ang and Wang, Binghui and Chen, Yiran and Li, Fenghua and Cao, Jin and Niu, Ben},
     booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
     pages = {4701--4709},
     year = {2023}
   }

2. MobiCom

   AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving

   Tianyue Zheng, Ang Li, Zhe Chen, and 2 more authors

   2023

   Bib

   @article{zheng2023autofed,
     title = {AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving},
     author = {Zheng, Tianyue and Li, Ang and Chen, Zhe and Wang, Hongbo and Luo, Jun},
     year = {2023},
     isbn = {9781450399906},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3570361.3592517},
     doi = {10.1145/3570361.3592517},
     booktitle = {Proceedings of the 29th Annual International Conference on Mobile Computing and Networking},
     articleno = {15},
     numpages = {15},
     keywords = {autonomous driving, autonomous vehicle, federated learning, crowdsensing, multimodal learning, object detection},
     location = {Madrid, Spain},
     series = {ACM MobiCom '23}
   }

3. ICML

   Fed-cbs: A heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction

   Jianyi Zhang, Ang Li, Minxue Tang, and 6 more authors

   In International Conference on Machine Learning, 2023

   Bib PDF

   @inproceedings{zhang2023fed,
     title = {Fed-cbs: A heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction},
     author = {Zhang, Jianyi and Li, Ang and Tang, Minxue and Sun, Jingwei and Chen, Xiang and Zhang, Fan and Chen, Changyou and Chen, Yiran and Li, Hai},
     booktitle = {International Conference on Machine Learning},
     pages = {41354--41381},
     year = {2023},
     organization = {PMLR},
   }

4. NeurIPS

   FedNAR: Federated Optimization with Normalized Annealing Regularization

   Junbo Li, Ang Li, Chong Tian, and 3 more authors

   Advances in Neural Information Processing Systems, 2023

   PDF Code

2022

1. ICDM

   Graphfl: A federated learning framework for semi-supervised node classification on graphs

   Binghui Wang, Ang Li, Meng Pang, and 2 more authors

   In 2022 IEEE International Conference on Data Mining (ICDM), 2022

   arXiv Bib

   @inproceedings{wang2022graphfl,
     title = {Graphfl: A federated learning framework for semi-supervised node classification on graphs},
     author = {Wang, Binghui and Li, Ang and Pang, Meng and Li, Hai and Chen, Yiran},
     booktitle = {2022 IEEE International Conference on Data Mining (ICDM)},
     pages = {498--507},
     year = {2022},
     organization = {IEEE}
   }

2. DAC

   Towards collaborative intelligence: Routability estimation based on decentralized private data

   Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, and 5 more authors

   In Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022

   Bib

   @inproceedings{pan2022towards,
     title = {Towards collaborative intelligence: Routability estimation based on decentralized private data},
     author = {Pan, Jingyu and Chang, Chen-Chia and Xie, Zhiyao and Li, Ang and Tang, Minxue and Zhang, Tunhou and Hu, Jiang and Chen, Yiran},
     booktitle = {Proceedings of the 59th ACM/IEEE Design Automation Conference},
     pages = {961--966},
     year = {2022}
   }

3. IPSN

   MOM: Microphone based 3D Orientation Measurement

   Zhihui Gao, Ang Li, Dong Li, and 5 more authors

   In 2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2022

   Bib PDF

   @inproceedings{gao2022mom,
     title = {MOM: Microphone based 3D Orientation Measurement},
     author = {Gao, Zhihui and Li, Ang and Li, Dong and Liu, Jialin and Xiong, Jie and Wang, Yu and Li, Bing and Chen, Yiran},
     booktitle = {2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)},
     pages = {132--144},
     year = {2022},
     organization = {IEEE}
   }

4. SenSys

   FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices

   Jingwei Sun, Ang Li, Lin Duan, and 8 more authors

   2022

   Abs Bib HTML PDF

   Federated learning (FL) has attracted increasing attention as a promising technique to drive a vast number of edge devices with artificial intelligence. However, it is very challenging to guarantee the efficiency of a FL system in practice due to the heterogeneous computation resources on different devices. To improve the efficiency of FL systems in the real world, asynchronous FL (AFL) and semi-asynchronous FL (SAFL) methods are proposed such that the server does not need to wait for stragglers. However, existing AFL and SAFL systems suffer from poor accuracy and low efficiency in realistic settings where the data is non-IID distributed across devices and the on-device resources are extremely heterogeneous. In this work, we propose FedSEA - a semi-asynchronous FL framework for extremely heterogeneous devices. We theoretically disclose that the unbalanced aggregation frequency is a root cause of accuracy drop in SAFL. Based on this analysis, we design a training configuration scheduler to balance the aggregation frequency of devices such that the accuracy can be improved. To improve the efficiency of the system in realistic settings where the devices have dynamic on-device resource availability, we design a scheduler that can efficiently predict the arriving time of local updates from devices and adjust the synchronization time point according to the devices’ predicted arriving time. We also consider the extremely heterogeneous settings where there exist extremely lagging devices that take hundreds of times as long as the training time of the other devices. In the real world, there might be even some extreme stragglers which are not capable of training the global model. To enable these devices to join in training without impairing the systematic efficiency, Fed-SEA enables these extreme stragglers to conduct local training on much smaller models. Our experiments show that compared with status quo approaches, FedSEA improves the inference accuracy by 44.34% and reduces the systematic time cost and local training time cost by 87.02X and 792.9X. FedSEA also reduces the energy consumption of the devices with extremely limited resources by 752.9X.

   @article{sun2022fedsea,
     title = {FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices},
     author = {Sun, Jingwei and Li, Ang and Duan, Lin and Alam, Samiul and Deng, Xuliang and Guo, Xin and Wang, Haiming and Gorlatova, Maria and Zhang, Mi and Li, Hai and others},
     booktitle = {Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems},
     year = {2022}
   }

5. TECS

   Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks

   Jiachen Mao, Qing Yang, Ang Li, and 3 more authors

   ACM Transactions on Embedded Computing Systems (TECS), 2022

   Bib

   @article{mao2022toward,
     title = {Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks},
     author = {Mao, Jiachen and Yang, Qing and Li, Ang and Nixon, Kent W and Li, Hai and Chen, Yiran},
     journal = {ACM Transactions on Embedded Computing Systems (TECS)},
     volume = {21},
     number = {3},
     pages = {1--21},
     year = {2022},
     publisher = {ACM New York, NY}
   }

6. ISQED

   An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors

   Zhihui Gao, Minxue Tang, Ang Li, and 1 more author

   In 2022 23rd International Symposium on Quality Electronic Design (ISQED), 2022

   Bib

   @inproceedings{gao2022audio,
     title = {An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors},
     author = {Gao, Zhihui and Tang, Minxue and Li, Ang and Chen, Yiran},
     booktitle = {2022 23rd International Symposium on Quality Electronic Design (ISQED)},
     pages = {1--6},
     year = {2022},
     organization = {IEEE}
   }

7. WWW

   Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing

   Yongbo Yu, Fuxun Yu, Zirui Xu, and 6 more authors

   In Companion Proceedings of the Web Conference 2022, 2022

   Bib

   @inproceedings{yu2022powering,
     title = {Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing},
     author = {Yu, Yongbo and Yu, Fuxun and Xu, Zirui and Wang, Di and Zhang, Minjia and Li, Ang and Bray, Shawn and Liu, Chenchen and Chen, Xiang},
     booktitle = {Companion Proceedings of the Web Conference 2022},
     pages = {567--571},
     year = {2022}
   }

8. Ph.D. Dissertation

   Enable Intelligence on Billion Devices with Deep Learning

   Ang Li

   Duke University, 2022
9. DistributedML

   Rethinking normalization methods in federated learning

   Zhixu Du, Jingwei Sun, Ang Li, and 4 more authors

   In Proceedings of the 3rd International Workshop on Distributed Machine Learning, 2022
10. CIC

    Next Generation Federated Learning for Edge Devices: An Overview

    Jianyi Zhang, Zhixu Du, Jingwei Sun, and 7 more authors

    In 2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC), 2022

    Bib

    @inproceedings{zhang2022next,
      title = {Next Generation Federated Learning for Edge Devices: An Overview},
      author = {Zhang, Jianyi and Du, Zhixu and Sun, Jingwei and Li, Ang and Tang, Minxue and Wu, Yuhao and Gao, Zhihui and Kuo, Martin and Li, Hai-Helen and Chen, Yiran},
      booktitle = {2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC)},
      pages = {10--15},
      year = {2022},
      organization = {IEEE}
    }

2021

1. SEC

   LotteryFL: empower edge intelligence with personalized and communication-efficient federated learning

   Ang Li, Jingwei Sun, Binghui Wang, and 4 more authors

   In 2021 IEEE/ACM Symposium on Edge Computing (SEC), 2021

   arXiv Bib HTML Code

   @inproceedings{li2021lotteryfl,
     title = {LotteryFL: empower edge intelligence with personalized and communication-efficient federated learning},
     author = {Li, Ang and Sun, Jingwei and Wang, Binghui and Duan, Lin and Li, Sicheng and Chen, Yiran and Li, Hai},
     booktitle = {2021 IEEE/ACM Symposium on Edge Computing (SEC)},
     pages = {68--79},
     year = {2021},
     organization = {IEEE},
   }

2. HPCC

   Reinforcement learning-based black-box evasion attacks to link prediction in dynamic graphs

   Houxiang Fan, Binghui Wang, Pan Zhou, and 5 more authors

   In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 2021

   Bib

   @inproceedings{fan2021reinforcement,
     title = {Reinforcement learning-based black-box evasion attacks to link prediction in dynamic graphs},
     author = {Fan, Houxiang and Wang, Binghui and Zhou, Pan and Li, Ang and Xu, Zichuan and Fu, Cai and Li, Hai and Chen, Yiran},
     booktitle = {2021 IEEE 23rd Int Conf on High Performance Computing \& Communications; 7th Int Conf on Data Science \& Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud \& Big Data Systems \& Application (HPCC/DSS/SmartCity/DependSys)},
     pages = {933--940},
     year = {2021},
     organization = {IEEE}
   }

3. EWSN

   Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G

   Zhihui Gao, Ang Li, Yunfan Gao, and 2 more authors

   In Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks, 2021

   Bib

   @inproceedings{gao2021hermes,
     title = {Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G},
     author = {Gao, Zhihui and Li, Ang and Gao, Yunfan and Wang, Yu and Chen, Yiran},
     booktitle = {Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks},
     pages = {13--24},
     year = {2021}
   }

4. TMC

   Privacyeye: A privacy-preserving and computationally efficient deep learning-based mobile video analytics system

   Wei Du, Ang Li, Pan Zhou, and 2 more authors

   IEEE Transactions on Mobile Computing, 2021

   Bib

   @article{du2021privacyeye,
     title = {Privacyeye: A privacy-preserving and computationally efficient deep learning-based mobile video analytics system},
     author = {Du, Wei and Li, Ang and Zhou, Pan and Niu, Ben and Wu, Dapeng},
     journal = {IEEE Transactions on Mobile Computing},
     volume = {21},
     number = {9},
     pages = {3263--3279},
     year = {2021},
     publisher = {IEEE}
   }

5. IoTDI

   Deepobfuscator: Obfuscating intermediate representations with privacy-preserving adversarial learning on smartphones

   Ang Li, Jiayi Guo, Huanrui Yang, and 2 more authors

   In Proceedings of the International Conference on Internet-of-Things Design and Implementation, 2021

   Bib Code

   @inproceedings{li2021deepobfuscator,
     title = {Deepobfuscator: Obfuscating intermediate representations with privacy-preserving adversarial learning on smartphones},
     author = {Li, Ang and Guo, Jiayi and Yang, Huanrui and Salim, Flora D and Chen, Yiran},
     booktitle = {Proceedings of the International Conference on Internet-of-Things Design and Implementation},
     pages = {28--39},
     year = {2021}
   }

6. TCPS

   TPrune: Efficient transformer pruning for mobile devices

   Jiachen Mao, Huanrui Yang, Ang Li, and 2 more authors

   ACM Transactions on Cyber-Physical Systems, 2021

   Bib

   @article{mao2021tprune,
     title = {TPrune: Efficient transformer pruning for mobile devices},
     author = {Mao, Jiachen and Yang, Huanrui and Li, Ang and Li, Hai and Chen, Yiran},
     journal = {ACM Transactions on Cyber-Physical Systems},
     volume = {5},
     number = {3},
     pages = {1--22},
     year = {2021},
     publisher = {ACM New York, NY, USA}
   }

7. CVPR

   Soteria: Provable defense against privacy leakage in federated learning from representation perspective

   Jingwei Sun, Ang Li, Binghui Wang, and 3 more authors

   In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2021

   Bib

   @inproceedings{sun2021soteria,
     title = {Soteria: Provable defense against privacy leakage in federated learning from representation perspective},
     author = {Sun, Jingwei and Li, Ang and Wang, Binghui and Yang, Huanrui and Li, Hai and Chen, Yiran},
     booktitle = {Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
     pages = {9311--9319},
     year = {2021}
   }

8. ACM MM

   Towards adversarial patch analysis and certified defense against crowd counting

   Qiming Wu, Zhikang Zou, Pan Zhou, and 3 more authors

   In Proceedings of the 29th ACM International Conference on Multimedia, 2021

   Bib

   @inproceedings{wu2021towards,
     title = {Towards adversarial patch analysis and certified defense against crowd counting},
     author = {Wu, Qiming and Zou, Zhikang and Zhou, Pan and Ye, Xiaoqing and Wang, Binghui and Li, Ang},
     booktitle = {Proceedings of the 29th ACM International Conference on Multimedia},
     pages = {2195--2204},
     year = {2021}
   }

9. MobiCom

   Hermes: an efficient federated learning framework for heterogeneous mobile clients

   Ang Li, Jingwei Sun, Pengcheng Li, and 3 more authors

   In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, 2021

   Bib PDF

   @inproceedings{li2021hermes,
     title = {Hermes: an efficient federated learning framework for heterogeneous mobile clients},
     author = {Li, Ang and Sun, Jingwei and Li, Pengcheng and Pu, Yu and Li, Hai and Chen, Yiran},
     booktitle = {Proceedings of the 27th Annual International Conference on Mobile Computing and Networking},
     pages = {420--437},
     year = {2021},
   }

10. NeurIPS

    Fl-wbc: Enhancing robustness against model poisoning attacks in federated learning from a client perspective

    Jingwei Sun, Ang Li, Louis DiValentin, and 3 more authors

    Advances in Neural Information Processing Systems, 2021

    Bib

    @article{sun2021fl,
      title = {Fl-wbc: Enhancing robustness against model poisoning attacks in federated learning from a client perspective},
      author = {Sun, Jingwei and Li, Ang and DiValentin, Louis and Hassanzadeh, Amin and Chen, Yiran and Li, Hai},
      journal = {Advances in Neural Information Processing Systems},
      volume = {34},
      pages = {12613--12624},
      year = {2021}
    }

11. SenSys

    Fedmask: Joint computation and communication-efficient personalized federated learning via heterogeneous masking

    Ang Li, Jingwei Sun, Xiao Zeng, and 3 more authors

    In Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, 2021

    Bib HTML PDF

    @inproceedings{li2021fedmask,
      title = {Fedmask: Joint computation and communication-efficient personalized federated learning via heterogeneous masking},
      author = {Li, Ang and Sun, Jingwei and Zeng, Xiao and Zhang, Mi and Li, Hai and Chen, Yiran},
      booktitle = {Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems},
      pages = {42--55},
      year = {2021},
    }

12. ICCAD

    FedSwap: A Federated Learning based 5G Decentralized Dynamic Spectrum Access System

    Zhihui Gao, Ang Li, Yunfan Gao, and 3 more authors

    In 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021

    Bib

    @inproceedings{gao2021fedswap,
      title = {FedSwap: A Federated Learning based 5G Decentralized Dynamic Spectrum Access System},
      author = {Gao, Zhihui and Li, Ang and Gao, Yunfan and Li, Bing and Wang, Yu and Chen, Yiran},
      booktitle = {2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)},
      pages = {1--6},
      year = {2021},
      organization = {IEEE}
    }

13. TCC

    Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming

    Wei Du, Ang Li, Qinghua Li, and 1 more author

    IEEE Transactions on Cloud Computing, 2021

    Bib

    @article{du2021privacy,
      title = {Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming},
      author = {Du, Wei and Li, Ang and Li, Qinghua and Zhou, Pan},
      journal = {IEEE Transactions on Cloud Computing},
      year = {2021},
      publisher = {IEEE}
    }

14. CogMI

    AI-Powered IoT System at the Edge (invited paper)

    Yiran Chen, Ang Li, Huanrui Yang, and 5 more authors

    In 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), 2021

    Bib

    @inproceedings{chen2021ai,
      title = {AI-Powered IoT System at the Edge (invited paper)},
      author = {Chen, Yiran and Li, Ang and Yang, Huanrui and Zhang, Tunhou and Yang, Yuewei and Li, Hai and Banerjee, Suman and Pajic, Miroslav},
      booktitle = {2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI)},
      pages = {242--251},
      year = {2021},
      organization = {IEEE}
    }

15. KDD

    Privacy-preserving representation learning on graphs: A mutual information perspective

    Binghui Wang, Jiayi Guo, Ang Li, and 2 more authors

    In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021

    Bib PDF

    @inproceedings{wang2021privacy,
      title = {Privacy-preserving representation learning on graphs: A mutual information perspective},
      author = {Wang, Binghui and Guo, Jiayi and Li, Ang and Chen, Yiran and Li, Hai},
      booktitle = {Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining},
      pages = {1667--1676},
      year = {2021}
    }

2020

1. T-Cybernetics

   Massive maritime path planning: A contextual online learning approach

   Pan Zhou, Weiguang Zhao, Jianghui Li, and 3 more authors

   IEEE Transactions on Cybernetics, 2020

   Bib

   @article{zhou2020massive,
     title = {Massive maritime path planning: A contextual online learning approach},
     author = {Zhou, Pan and Zhao, Weiguang and Li, Jianghui and Li, Ang and Du, Wei and Wen, Shiping},
     journal = {IEEE Transactions on Cybernetics},
     volume = {51},
     number = {12},
     pages = {6262--6273},
     year = {2020},
     publisher = {IEEE}
   }

2. General access control guidance for cloud systems

   Vincent C Hu, Michaela Iorga, Wei Bao, and 4 more authors

   NIST Special Publication, 2020
3. CVPR

   Learning low-rank deep neural networks via singular vector orthogonality regularization and singular value sparsification

   Huanrui Yang, Minxue Tang, Wei Wen, and 5 more authors

   In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops, 2020

   Bib

   @inproceedings{yang2020learning,
     title = {Learning low-rank deep neural networks via singular vector orthogonality regularization and singular value sparsification},
     author = {Yang, Huanrui and Tang, Minxue and Wen, Wei and Yan, Feng and Hu, Daniel and Li, Ang and Li, Hai and Chen, Yiran},
     booktitle = {Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops},
     pages = {678--679},
     year = {2020}
   }

4. Security

   The QoS and privacy trade-off of adversarial deep learning: an evolutionary game approach

   Zhe Sun, Lihua Yin, Chao Li, and 3 more authors

   Computers & Security, 2020

   Bib

   @article{sun2020qos,
     title = {The QoS and privacy trade-off of adversarial deep learning: an evolutionary game approach},
     author = {Sun, Zhe and Yin, Lihua and Li, Chao and Zhang, Weizhe and Li, Ang and Tian, Zhihong},
     journal = {Computers \& Security},
     volume = {96},
     pages = {101876},
     year = {2020},
     publisher = {Elsevier Advanced Technology}
   }

5. MobiHoc

   Mvstylizer: An efficient edge-assisted video photorealistic style transfer system for mobile phones

   Ang Li, Chunpeng Wu, Yiran Chen, and 1 more author

   In Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, 2020

   Bib

   @inproceedings{li2020mvstylizer,
     title = {Mvstylizer: An efficient edge-assisted video photorealistic style transfer system for mobile phones},
     author = {Li, Ang and Wu, Chunpeng and Chen, Yiran and Ni, Bin},
     booktitle = {Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing},
     pages = {31--40},
     year = {2020}
   }

6. J-IoT

   Approximate to be great: Communication efficient and privacy-preserving large-scale distributed deep learning in Internet of Things

   Wei Du, Ang Li, Pan Zhou, and 4 more authors

   IEEE Internet of Things Journal, 2020

   Bib

   @article{du2020approximate,
     title = {Approximate to be great: Communication efficient and privacy-preserving large-scale distributed deep learning in Internet of Things},
     author = {Du, Wei and Li, Ang and Zhou, Pan and Xu, Zichuan and Wang, Xiumin and Jiang, Hao and Wu, Dapeng},
     journal = {IEEE Internet of Things Journal},
     volume = {7},
     number = {12},
     pages = {11678--11692},
     year = {2020},
     publisher = {IEEE}
   }

7. KDD

   TIPRDC: task-independent privacy-respecting data crowdsourcing framework for deep learning with anonymized intermediate representations

   Ang Li, Yixiao Duan, Huanrui Yang, and 2 more authors

   In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining, 2020

   Bib PDF Code

   @inproceedings{li2020tiprdc,
     title = {TIPRDC: task-independent privacy-respecting data crowdsourcing framework for deep learning with anonymized intermediate representations},
     author = {Li, Ang and Duan, Yixiao and Yang, Huanrui and Chen, Yiran and Yang, Jianlei},
     booktitle = {Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery \& data mining},
     pages = {824--832},
     year = {2020},
   }

8. Arxiv

   Efficient evasion attacks to graph neural networks via influence function

   Binghui Wang, Tianxiang Zhou, Minhua Lin, and 6 more authors

   arXiv preprint arXiv:2009.00203, 2020
9. Book Chapter

   Task-agnostic privacy-preserving representation learning via federated learning

   Ang Li, Huanrui Yang, and Yiran Chen

   Federated Learning: Privacy and Incentive, 2020
10. SecureComm

    Automated bystander detection and anonymization in mobile photography

    David Darling, Ang Li, and Qinghua Li

    In Security and Privacy in Communication Networks: 16th EAI International Conference, SecureComm 2020, Washington, DC, USA, October 21-23, 2020, Proceedings, Part I 16, 2020

    Bib

    @inproceedings{darling2020automated,
      title = {Automated bystander detection and anonymization in mobile photography},
      author = {Darling, David and Li, Ang and Li, Qinghua},
      booktitle = {Security and Privacy in Communication Networks: 16th EAI International Conference, SecureComm 2020, Washington, DC, USA, October 21-23, 2020, Proceedings, Part I 16},
      pages = {402--424},
      year = {2020},
      organization = {Springer International Publishing}
    }

11. GLOBECOM

    A framework to preserve user privacy for machine learning as a service

    Ben Niu, Likun Zhang, Yahong Chen, and 4 more authors

    In GLOBECOM 2020-2020 IEEE Global Communications Conference, 2020

    Bib

    @inproceedings{niu2020framework,
      title = {A framework to preserve user privacy for machine learning as a service},
      author = {Niu, Ben and Zhang, Likun and Chen, Yahong and Li, Ang and Du, Wei and Cao, Jin and Li, Fenghua},
      booktitle = {GLOBECOM 2020-2020 IEEE Global Communications Conference},
      pages = {1--6},
      year = {2020},
      organization = {IEEE}
    }

12. TNSE

    Joint traffic control and multi-channel reassignment for core backbone network in SDN-IoT: a multi-agent deep reinforcement learning approach

    Tong Wu, Pan Zhou, Binghui Wang, and 5 more authors

    IEEE Transactions on Network Science and Engineering, 2020

    Bib

    @article{wu2020joint,
      title = {Joint traffic control and multi-channel reassignment for core backbone network in SDN-IoT: a multi-agent deep reinforcement learning approach},
      author = {Wu, Tong and Zhou, Pan and Wang, Binghui and Li, Ang and Tang, Xueming and Xu, Zichuan and Chen, Kai and Ding, Xiaofeng},
      journal = {IEEE Transactions on Network Science and Engineering},
      volume = {8},
      number = {1},
      pages = {231--245},
      year = {2020},
      publisher = {IEEE}
    }

13. Arxiv

    Evasion attacks to graph neural networks via influence function

    Binghui Wang, Tianxiang Zhou, Minhua Lin, and 6 more authors

    arXiv preprint arXiv:2009.00203, 2020

2019

1. INFOCOM

   Hideme: Privacy-preserving photo sharing on social networks

   Fenghua Li, Zhe Sun, Ang Li, and 3 more authors

   In IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 2019

   Bib

   @inproceedings{li2019hideme,
     title = {Hideme: Privacy-preserving photo sharing on social networks},
     author = {Li, Fenghua and Sun, Zhe and Li, Ang and Niu, Ben and Li, Hui and Cao, Guohong},
     booktitle = {IEEE INFOCOM 2019-IEEE Conference on Computer Communications},
     pages = {154--162},
     year = {2019},
     organization = {IEEE}
   }

2. DAC

   Mobieye: An efficient cloud-based video detection system for real-time mobile applications

   Jiachen Mao, Qing Yang, Ang Li, and 2 more authors

   In Proceedings of the 56th Annual Design Automation Conference 2019, 2019

   Bib

   @inproceedings{mao2019mobieye,
     title = {Mobieye: An efficient cloud-based video detection system for real-time mobile applications},
     author = {Mao, Jiachen and Yang, Qing and Li, Ang and Li, Hai and Chen, Yiran},
     booktitle = {Proceedings of the 56th Annual Design Automation Conference 2019},
     pages = {1--6},
     year = {2019}
   }

2018

1. Privacy-Preserving Photo Taking and Accessing for Mobile Phones

   Ang Li

   University of Arkansas, 2018
2. SecureComm

   Privacy-preserving outsourcing of large-scale nonlinear programming to the cloud

   Ang Li, Wei Du, and Qinghua Li

   In Security and Privacy in Communication Networks: 14th International Conference, SecureComm 2018, Singapore, Singapore, August 8-10, 2018, Proceedings, Part I, 2018

   Bib

   @inproceedings{li2018privacz,
     title = {Privacy-preserving outsourcing of large-scale nonlinear programming to the cloud},
     author = {Li, Ang and Du, Wei and Li, Qinghua},
     booktitle = {Security and Privacy in Communication Networks: 14th International Conference, SecureComm 2018, Singapore, Singapore, August 8-10, 2018, Proceedings, Part I},
     pages = {569--587},
     year = {2018},
     organization = {Springer International Publishing}
   }

3. SecureComm

   Privacy-preserving multiparty learning for logistic regression

   Wei Du, Ang Li, and Qinghua Li

   In Security and Privacy in Communication Networks: 14th International Conference, SecureComm 2018, Singapore, Singapore, August 8-10, 2018, Proceedings, Part I, 2018

   Bib

   @inproceedings{du2018privacy,
     title = {Privacy-preserving multiparty learning for logistic regression},
     author = {Du, Wei and Li, Ang and Li, Qinghua},
     booktitle = {Security and Privacy in Communication Networks: 14th International Conference, SecureComm 2018, Singapore, Singapore, August 8-10, 2018, Proceedings, Part I},
     pages = {549--568},
     year = {2018},
     organization = {Springer}
   }

4. SecureComm

   Politecamera: Respecting strangers’ privacy in mobile photographing

   Ang Li, Wei Du, and Qinghua Li

   In Security and Privacy in Communication Networks: 14th International Conference, SecureComm 2018, Singapore, Singapore, August 8-10, 2018, Proceedings, Part I, 2018

   Bib

   @inproceedings{li2018politecamera,
     title = {Politecamera: Respecting strangers’ privacy in mobile photographing},
     author = {Li, Ang and Du, Wei and Li, Qinghua},
     booktitle = {Security and Privacy in Communication Networks: 14th International Conference, SecureComm 2018, Singapore, Singapore, August 8-10, 2018, Proceedings, Part I},
     pages = {227--247},
     year = {2018},
     organization = {Springer International Publishing}
   }

2017

1. PerCom

   SecureHouse: A home security system based on smartphone sensors

   Michael A Mahler, Qinghua Li, and Ang Li

   In 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2017

   Bib

   @inproceedings{mahler2017securehouse,
     title = {SecureHouse: A home security system based on smartphone sensors},
     author = {Mahler, Michael A and Li, Qinghua and Li, Ang},
     booktitle = {2017 IEEE International Conference on Pervasive Computing and Communications (PerCom)},
     pages = {11--20},
     year = {2017},
     organization = {IEEE}
   }

2. CIC

   Access control for distributed processing systems: Use cases and general considerations

   Ang Li, Qinghua Li, and Vincent Hu

   In 2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC), 2017

   Bib

   @inproceedings{li2017access,
     title = {Access control for distributed processing systems: Use cases and general considerations},
     author = {Li, Ang and Li, Qinghua and Hu, Vincent},
     booktitle = {2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)},
     pages = {117--125},
     year = {2017},
     organization = {IEEE}
   }

2016

1. SECON

   PrivacyCamera: Cooperative privacy-aware photographing with mobile phones

   Ang Li, Qinghua Li, and Wei Gao

   In Sensing, Communication, and Networking (SECON), 2016 13th Annual IEEE International Conference on, 2016

   Bib

   @inproceedings{li2016privacycamera,
     title = {PrivacyCamera: Cooperative privacy-aware photographing with mobile phones},
     author = {Li, Ang and Li, Qinghua and Gao, Wei},
     booktitle = {Sensing, Communication, and Networking (SECON), 2016 13th Annual IEEE International Conference on},
     pages = {1--9},
     year = {2016},
     organization = {IEEE},
     dimensions = {true}
   }

2015

1. MILCOM

   Evaluating the capability and performance of access control policy verification tools

   Ang Li, Qinghua Li, Vincent C Hu, and 1 more author

   In MILCOM 2015-2015 IEEE Military Communications Conference, 2015

   Bib

   @inproceedings{li2015evaluating,
     title = {Evaluating the capability and performance of access control policy verification tools},
     author = {Li, Ang and Li, Qinghua and Hu, Vincent C and Di, Jia},
     booktitle = {MILCOM 2015-2015 IEEE Military Communications Conference},
     pages = {366--371},
     year = {2015},
     organization = {IEEE}
   }