BibTeX records: Chengyi Yang

download as .bib file

@inproceedings{DBLP:conf/aaai/YangQZ24,
  author       = {Chengyi Yang and
                  Jiayin Qi and
                  Aimin Zhou},
  editor       = {Michael J. Wooldridge and
                  Jennifer G. Dy and
                  Sriraam Natarajan},
  title        = {Wasserstein Differential Privacy},
  booktitle    = {Thirty-Eighth {AAAI} Conference on Artificial Intelligence, {AAAI}
                  2024, Thirty-Sixth Conference on Innovative Applications of Artificial
                  Intelligence, {IAAI} 2024, Fourteenth Symposium on Educational Advances
                  in Artificial Intelligence, {EAAI} 2014, February 20-27, 2024, Vancouver,
                  Canada},
  pages        = {16299--16307},
  publisher    = {{AAAI} Press},
  year         = {2024},
  url          = {https://doi.org/10.1609/aaai.v38i15.29565},
  doi          = {10.1609/AAAI.V38I15.29565},
  timestamp    = {Tue, 02 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/aaai/YangQZ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/aaai/SunTYYWDLY24,
  author       = {Hao Sun and
                  Xiaoli Tang and
                  Chengyi Yang and
                  Zhenpeng Yu and
                  Xiuli Wang and
                  Qijie Ding and
                  Zengxiang Li and
                  Han Yu},
  editor       = {Michael J. Wooldridge and
                  Jennifer G. Dy and
                  Sriraam Natarajan},
  title        = {HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced
                  Gas Usage Estimation},
  booktitle    = {Thirty-Eighth {AAAI} Conference on Artificial Intelligence, {AAAI}
                  2024, Thirty-Sixth Conference on Innovative Applications of Artificial
                  Intelligence, {IAAI} 2024, Fourteenth Symposium on Educational Advances
                  in Artificial Intelligence, {EAAI} 2014, February 20-27, 2024, Vancouver,
                  Canada},
  pages        = {22824--22832},
  publisher    = {{AAAI} Press},
  year         = {2024},
  url          = {https://doi.org/10.1609/aaai.v38i21.30317},
  doi          = {10.1609/AAAI.V38I21.30317},
  timestamp    = {Tue, 02 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/aaai/SunTYYWDLY24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2401-05012,
  author       = {Shubao Zhao and
                  Ming Jin and
                  Zhaoxiang Hou and
                  Chengyi Yang and
                  Zengxiang Li and
                  Qingsong Wen and
                  Yi Wang},
  title        = {HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term
                  Forecasting},
  journal      = {CoRR},
  volume       = {abs/2401.05012},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2401.05012},
  doi          = {10.48550/ARXIV.2401.05012},
  eprinttype    = {arXiv},
  eprint       = {2401.05012},
  timestamp    = {Wed, 24 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2401-05012.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2401-12436,
  author       = {Chengyi Yang and
                  Jiayin Qi and
                  Aimin Zhou},
  title        = {Wasserstein Differential Privacy},
  journal      = {CoRR},
  volume       = {abs/2401.12436},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2401.12436},
  doi          = {10.48550/ARXIV.2401.12436},
  eprinttype    = {arXiv},
  eprint       = {2401.12436},
  timestamp    = {Mon, 05 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2401-12436.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2403-01244,
  author       = {Jianheng Huang and
                  Leyang Cui and
                  Ante Wang and
                  Chengyi Yang and
                  Xinting Liao and
                  Linfeng Song and
                  Junfeng Yao and
                  Jinsong Su},
  title        = {Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized
                  Rehearsal},
  journal      = {CoRR},
  volume       = {abs/2403.01244},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2403.01244},
  doi          = {10.48550/ARXIV.2403.01244},
  eprinttype    = {arXiv},
  eprint       = {2403.01244},
  timestamp    = {Tue, 02 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2403-01244.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/aaai/ChenCGZLWYLY23,
  author       = {Yuanyuan Chen and
                  Zichen Chen and
                  Sheng Guo and
                  Yansong Zhao and
                  Zelei Liu and
                  Pengcheng Wu and
                  Chengyi Yang and
                  Zengxiang Li and
                  Han Yu},
  editor       = {Brian Williams and
                  Yiling Chen and
                  Jennifer Neville},
  title        = {Efficient Training of Large-Scale Industrial Fault Diagnostic Models
                  through Federated Opportunistic Block Dropout},
  booktitle    = {Thirty-Seventh {AAAI} Conference on Artificial Intelligence, {AAAI}
                  2023, Thirty-Fifth Conference on Innovative Applications of Artificial
                  Intelligence, {IAAI} 2023, Thirteenth Symposium on Educational Advances
                  in Artificial Intelligence, {EAAI} 2023, Washington, DC, USA, February
                  7-14, 2023},
  pages        = {15485--15493},
  publisher    = {{AAAI} Press},
  year         = {2023},
  url          = {https://doi.org/10.1609/aaai.v37i13.26836},
  doi          = {10.1609/AAAI.V37I13.26836},
  timestamp    = {Mon, 04 Sep 2023 12:29:24 +0200},
  biburl       = {https://dblp.org/rec/conf/aaai/ChenCGZLWYLY23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/icmcs/YangHGCL23,
  author       = {Chengyi Yang and
                  Zhaoxiang Hou and
                  Sheng Guo and
                  Hui Chen and
                  Zengxiang Li},
  title        = {{SWATM:} Contribution-Aware Adaptive Federated Learning Framework
                  Based on Augmented Shapley Values},
  booktitle    = {{IEEE} International Conference on Multimedia and Expo, {ICME} 2023,
                  Brisbane, Australia, July 10-14, 2023},
  pages        = {672--677},
  publisher    = {{IEEE}},
  year         = {2023},
  url          = {https://doi.org/10.1109/ICME55011.2023.00121},
  doi          = {10.1109/ICME55011.2023.00121},
  timestamp    = {Tue, 05 Sep 2023 20:33:33 +0200},
  biburl       = {https://dblp.org/rec/conf/icmcs/YangHGCL23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/icncc/FengLYLY23,
  author       = {Lu Feng and
                  Wugang Lai and
                  Chengyi Yang and
                  Jianan Li and
                  Biyun Yang},
  title        = {Factory Environmental Monitoring System based on Zigbee Technology
                  and Multi-sensor Data Fusion},
  booktitle    = {Proceedings of the 12th International Conference on Networks, Communication
                  and Computing, {ICNCC} 2023, Osaka, Japan, December 15-17, 2023},
  pages        = {133--138},
  publisher    = {{ACM}},
  year         = {2023},
  url          = {https://doi.org/10.1145/3638837.3638857},
  doi          = {10.1145/3638837.3638857},
  timestamp    = {Mon, 15 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icncc/FengLYLY23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/ricai/YangWW23,
  author       = {Chengyi Yang and
                  Kainang Wang and
                  Aili Wang},
  title        = {A Fully Digital Implementation of {A} Reward-Modulated {STDP} Synapse},
  booktitle    = {5th International Conference on Robotics, Intelligent Control and
                  Artificial Intelligence, {RICAI} 2023, Hangzhou, China, December 1-3,
                  2023},
  pages        = {894--899},
  publisher    = {{IEEE}},
  year         = {2023},
  url          = {https://doi.org/10.1109/RICAI60863.2023.10489426},
  doi          = {10.1109/RICAI60863.2023.10489426},
  timestamp    = {Sat, 20 Apr 2024 12:53:27 +0200},
  biburl       = {https://dblp.org/rec/conf/ricai/YangWW23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2302-11485,
  author       = {Yuanyuan Chen and
                  Zichen Chen and
                  Sheng Guo and
                  Yansong Zhao and
                  Zelei Liu and
                  Pengcheng Wu and
                  Chengyi Yang and
                  Zengxiang Li and
                  Han Yu},
  title        = {Efficient Training of Large-scale Industrial Fault Diagnostic Models
                  through Federated Opportunistic Block Dropout},
  journal      = {CoRR},
  volume       = {abs/2302.11485},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2302.11485},
  doi          = {10.48550/ARXIV.2302.11485},
  eprinttype    = {arXiv},
  eprint       = {2302.11485},
  timestamp    = {Fri, 01 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2302-11485.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2307-00233,
  author       = {Has Sun and
                  Xiaoli Tang and
                  Chengyi Yang and
                  Zhenpeng Yu and
                  Xiuli Wang and
                  Qijie Ding and
                  Zengxiang Li and
                  Han Yu},
  title        = {Hierarchical Federated Learning Incentivization for Gas Usage Estimation},
  journal      = {CoRR},
  volume       = {abs/2307.00233},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2307.00233},
  doi          = {10.48550/ARXIV.2307.00233},
  eprinttype    = {arXiv},
  eprint       = {2307.00233},
  timestamp    = {Mon, 10 Jul 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2307-00233.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2308-03945,
  author       = {Yulan Gao and
                  Zhaoxiang Hou and
                  Chengyi Yang and
                  Zengxiang Li and
                  Han Yu},
  title        = {The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning
                  with Transformers},
  journal      = {CoRR},
  volume       = {abs/2308.03945},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2308.03945},
  doi          = {10.48550/ARXIV.2308.03945},
  eprinttype    = {arXiv},
  eprint       = {2308.03945},
  timestamp    = {Fri, 01 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2308-03945.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2308-11217,
  author       = {Zengxiang Li and
                  Zhaoxiang Hou and
                  Hui Liu and
                  Ying Wang and
                  Tongzhi Li and
                  Longfei Xie and
                  Chao Shi and
                  Chengyi Yang and
                  Weishan Zhang and
                  Zelei Liu and
                  Liang Xu},
  title        = {Federated Learning in Big Model Era: Domain-Specific Multimodal Large
                  Models},
  journal      = {CoRR},
  volume       = {abs/2308.11217},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2308.11217},
  doi          = {10.48550/ARXIV.2308.11217},
  eprinttype    = {arXiv},
  eprint       = {2308.11217},
  timestamp    = {Thu, 31 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2308-11217.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/euc/YangLSQ21,
  author       = {Chengyi Yang and
                  Feng Liu and
                  Siyuan Shen and
                  Jiayin Qi},
  editor       = {Shaohua Wan and
                  Xiaochun Cheng and
                  Celimuge Wu},
  title        = {An Energy-aware Approach with Spectrum Detection in Wireless Sensor
                  Networks},
  booktitle    = {19th {IEEE} International Conference on Embedded and Ubiquitous Computing,
                  {EUC} 2021, Shenyang, China, October 20-22, 2021},
  pages        = {1--7},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/EUC53437.2021.00033},
  doi          = {10.1109/EUC53437.2021.00033},
  timestamp    = {Tue, 20 Feb 2024 19:40:20 +0100},
  biburl       = {https://dblp.org/rec/conf/euc/YangLSQ21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/mir/FuLZWYXQFZ21,
  author       = {Ziwang Fu and
                  Feng Liu and
                  Jiahao Zhang and
                  Hanyang Wang and
                  Chengyi Yang and
                  Qing Xu and
                  Jiayin Qi and
                  Xiangling Fu and
                  Aimin Zhou},
  editor       = {Wen{-}Huang Cheng and
                  Mohan S. Kankanhalli and
                  Meng Wang and
                  Wei{-}Ta Chu and
                  Jiaying Liu and
                  Marcel Worring},
  title        = {{SAGN:} Semantic Adaptive Graph Network for Skeleton-Based Human Action
                  Recognition},
  booktitle    = {{ICMR} '21: International Conference on Multimedia Retrieval, Taipei,
                  Taiwan, August 21-24, 2021},
  pages        = {110--117},
  publisher    = {{ACM}},
  year         = {2021},
  url          = {https://doi.org/10.1145/3460426.3463633},
  doi          = {10.1145/3460426.3463633},
  timestamp    = {Thu, 27 Apr 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/mir/FuLZWYXQFZ21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/kais/ZhangFYX19,
  author       = {Yuxiang Zhang and
                  Jiamei Fu and
                  Chengyi Yang and
                  Chunjing Xiao},
  title        = {A local expansion propagation algorithm for social link identification},
  journal      = {Knowl. Inf. Syst.},
  volume       = {60},
  number       = {1},
  pages        = {545--568},
  year         = {2019},
  url          = {https://doi.org/10.1007/s10115-018-1221-y},
  doi          = {10.1007/S10115-018-1221-Y},
  timestamp    = {Fri, 23 Sep 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/kais/ZhangFYX19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/i2mtc/CuiWYX13,
  author       = {Ziqiang Cui and
                  Huaxiang Wang and
                  Chengyi Yang and
                  Yanbin Xu},
  title        = {Estimation of in-tube oil film thickness using electrical capacitance
                  tomography},
  booktitle    = {{IEEE} International Instrumentation and Measurement Technology Conference,
                  {I2MTC} 2013, Minneapolis, MN, USA, May 6-9, 2013},
  pages        = {1--4},
  publisher    = {{IEEE}},
  year         = {2013},
  url          = {https://doi.org/10.1109/I2MTC.2013.6555369},
  doi          = {10.1109/I2MTC.2013.6555369},
  timestamp    = {Sat, 19 Oct 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/i2mtc/CuiWYX13.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.