default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBibTeX records: Zheng Xu 0002
@article{DBLP:journals/tc/YaoPDWDYJXS24,
author = {Dezhong Yao and
Wanning Pan and
Yutong Dai and
Yao Wan and
Xiaofeng Ding and
Chen Yu and
Hai Jin and
Zheng Xu and
Lichao Sun},
title = {FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge
Distillation},
journal = {{IEEE} Trans. Computers},
volume = {73},
number = {1},
pages = {3--17},
year = {2024},
url = {https://doi.org/10.1109/TC.2023.3315066},
doi = {10.1109/TC.2023.3315066},
timestamp = {Wed, 10 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tc/YaoPDWDYJXS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tdsc/YuanYXCSLZJ24,
author = {Bin Yuan and
Maogen Yang and
Zheng Xu and
Qunjinming Chen and
Zhanxiang Song and
Zhen Li and
Deqing Zou and
Hai Jin},
title = {Leakage of Authorization-Data in IoT Device Sharing: New Attacks and
Countermeasure},
journal = {{IEEE} Trans. Dependable Secur. Comput.},
volume = {21},
number = {4},
pages = {3196--3210},
year = {2024},
url = {https://doi.org/10.1109/TDSC.2023.3323713},
doi = {10.1109/TDSC.2023.3323713},
timestamp = {Fri, 19 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tdsc/YuanYXCSLZJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tmlr/WangDJK0024,
author = {Jianyu Wang and
Rudrajit Das and
Gauri Joshi and
Satyen Kale and
Zheng Xu and
Tong Zhang},
title = {On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous
Data},
journal = {Trans. Mach. Learn. Res.},
volume = {2024},
year = {2024},
url = {https://openreview.net/forum?id=zF76Ga4EPs},
timestamp = {Thu, 08 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tmlr/WangDJK0024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chi/ZhouJPYJQZHX0WM24,
author = {Zhongyi Zhou and
Jing Jin and
Vrushank Phadnis and
Xiuxiu Yuan and
Jun Jiang and
Xun Qian and
Jingtao Zhou and
Yiyi Huang and
Zheng Xu and
Yinda Zhang and
Kristen Wright and
Jason Mayes and
Mark Sherwood and
Johnny Lee and
Alex Olwal and
David Kim and
Ram Iyengar and
Na Li and
Ruofei Du},
editor = {Florian 'Floyd' Mueller and
Penny Kyburz and
Julie R. Williamson and
Corina Sas},
title = {Experiencing InstructPipe: Building Multi-modal {AI} Pipelines via
Prompting LLMs and Visual Programming},
booktitle = {Extended Abstracts of the {CHI} Conference on Human Factors in Computing
Systems, {CHI} {EA} 2024, Honolulu, HI, USA, May 11-16, 2024},
pages = {402:1--402:5},
publisher = {{ACM}},
year = {2024},
url = {https://doi.org/10.1145/3613905.3648656},
doi = {10.1145/3613905.3648656},
timestamp = {Tue, 28 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chi/ZhouJPYJQZHX0WM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenIKNO024,
author = {Wei{-}Ning Chen and
Berivan Isik and
Peter Kairouz and
Albert No and
Sewoong Oh and
Zheng Xu},
title = {Improved Communication-Privacy Trade-offs in {L2} Mean Estimation
under Streaming Differential Privacy},
booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024,
Vienna, Austria, July 21-27, 2024},
publisher = {OpenReview.net},
year = {2024},
url = {https://openreview.net/forum?id=x1G7ieRgRd},
timestamp = {Mon, 02 Sep 2024 16:45:29 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenIKNO024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YuKO024,
author = {Da Yu and
Peter Kairouz and
Sewoong Oh and
Zheng Xu},
title = {Privacy-Preserving Instructions for Aligning Large Language Models},
booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024,
Vienna, Austria, July 21-27, 2024},
publisher = {OpenReview.net},
year = {2024},
url = {https://openreview.net/forum?id=mUT1biz09t},
timestamp = {Mon, 02 Sep 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YuKO024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/kdd/Hong0Z0BSAZ24,
author = {Junyuan Hong and
Carl Yang and
Zhuangdi Zhu and
Zheng Xu and
Nathalie Baracaldo and
Neil Shah and
Salman Avestimehr and
Jiayu Zhou},
editor = {Ricardo Baeza{-}Yates and
Francesco Bonchi},
title = {FedKDD: International Joint Workshop on Federated Learning for Data
Mining and Graph Analytics},
booktitle = {Proceedings of the 30th {ACM} {SIGKDD} Conference on Knowledge Discovery
and Data Mining, {KDD} 2024, Barcelona, Spain, August 25-29, 2024},
pages = {6718--6719},
publisher = {{ACM}},
year = {2024},
url = {https://doi.org/10.1145/3637528.3671490},
doi = {10.1145/3637528.3671490},
timestamp = {Sun, 08 Sep 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/kdd/Hong0Z0BSAZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/naacl/WangZCLMOXZ24,
author = {Boxin Wang and
Yibo Zhang and
Yuan Cao and
Bo Li and
Hugh McMahan and
Sewoong Oh and
Zheng Xu and
Manzil Zaheer},
editor = {Kevin Duh and
Helena G{\'{o}}mez{-}Adorno and
Steven Bethard},
title = {Can Public Large Language Models Help Private Cross-device Federated
Learning?},
booktitle = {Findings of the Association for Computational Linguistics: {NAACL}
2024, Mexico City, Mexico, June 16-21, 2024},
pages = {934--949},
publisher = {Association for Computational Linguistics},
year = {2024},
url = {https://doi.org/10.18653/v1/2024.findings-naacl.59},
doi = {10.18653/V1/2024.FINDINGS-NAACL.59},
timestamp = {Thu, 12 Sep 2024 13:29:32 +0200},
biburl = {https://dblp.org/rec/conf/naacl/WangZCLMOXZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2401-06432,
author = {Yae Jee Cho and
Luyang Liu and
Zheng Xu and
Aldi Fahrezi and
Gauri Joshi},
title = {Heterogeneous Low-Rank Approximation for Federated Fine-tuning of
On-Device Foundation Models},
journal = {CoRR},
volume = {abs/2401.06432},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2401.06432},
doi = {10.48550/ARXIV.2401.06432},
eprinttype = {arXiv},
eprint = {2401.06432},
timestamp = {Thu, 25 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2401-06432.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2402-13659,
author = {Da Yu and
Peter Kairouz and
Sewoong Oh and
Zheng Xu},
title = {Privacy-Preserving Instructions for Aligning Large Language Models},
journal = {CoRR},
volume = {abs/2402.13659},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.13659},
doi = {10.48550/ARXIV.2402.13659},
eprinttype = {arXiv},
eprint = {2402.13659},
timestamp = {Fri, 22 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-13659.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2403-08100,
author = {Jae Hun Ro and
Srinadh Bhojanapalli and
Zheng Xu and
Yanxiang Zhang and
Ananda Theertha Suresh},
title = {Efficient Language Model Architectures for Differentially Private
Federated Learning},
journal = {CoRR},
volume = {abs/2403.08100},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2403.08100},
doi = {10.48550/ARXIV.2403.08100},
eprinttype = {arXiv},
eprint = {2403.08100},
timestamp = {Thu, 04 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2403-08100.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2404-04360,
author = {Shanshan Wu and
Zheng Xu and
Yanxiang Zhang and
Yuanbo Zhang and
Daniel Ramage},
title = {Prompt Public Large Language Models to Synthesize Data for Private
On-device Applications},
journal = {CoRR},
volume = {abs/2404.04360},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2404.04360},
doi = {10.48550/ARXIV.2404.04360},
eprinttype = {arXiv},
eprint = {2404.04360},
timestamp = {Wed, 15 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2404-04360.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2405-02341,
author = {Wei{-}Ning Chen and
Berivan Isik and
Peter Kairouz and
Albert No and
Sewoong Oh and
Zheng Xu},
title = {Improved Communication-Privacy Trade-offs in L\({}_{\mbox{2}}\) Mean
Estimation under Streaming Differential Privacy},
journal = {CoRR},
volume = {abs/2405.02341},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2405.02341},
doi = {10.48550/ARXIV.2405.02341},
eprinttype = {arXiv},
eprint = {2405.02341},
timestamp = {Thu, 29 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2405-02341.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2408-08868,
author = {H. Brendan McMahan and
Zheng Xu and
Yanxiang Zhang},
title = {A Hassle-free Algorithm for Private Learning in Practice: Don't Use
Tree Aggregation, Use BLTs},
journal = {CoRR},
volume = {abs/2408.08868},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2408.08868},
doi = {10.48550/ARXIV.2408.08868},
eprinttype = {arXiv},
eprint = {2408.08868},
timestamp = {Tue, 24 Sep 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2408-08868.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jair/PonomarevaHKXDMVCT23,
author = {Natalia Ponomareva and
Hussein Hazimeh and
Alex Kurakin and
Zheng Xu and
Carson Denison and
H. Brendan McMahan and
Sergei Vassilvitskii and
Steve Chien and
Abhradeep Guha Thakurta},
title = {How to DP-fy {ML:} {A} Practical Guide to Machine Learning with Differential
Privacy},
journal = {J. Artif. Intell. Res.},
volume = {77},
pages = {1113--1201},
year = {2023},
url = {https://doi.org/10.1613/jair.1.14649},
doi = {10.1613/JAIR.1.14649},
timestamp = {Tue, 02 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jair/PonomarevaHKXDMVCT23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/acl/0002ZACKMRZ23,
author = {Zheng Xu and
Yanxiang Zhang and
Galen Andrew and
Christopher A. Choquette{-}Choo and
Peter Kairouz and
H. Brendan McMahan and
Jesse Rosenstock and
Yuanbo Zhang},
editor = {Sunayana Sitaram and
Beata Beigman Klebanov and
Jason D. Williams},
title = {Federated Learning of Gboard Language Models with Differential Privacy},
booktitle = {Proceedings of the The 61st Annual Meeting of the Association for
Computational Linguistics: Industry Track, {ACL} 2023, Toronto, Canada,
July 9-14, 2023},
pages = {629--639},
publisher = {Association for Computational Linguistics},
year = {2023},
url = {https://doi.org/10.18653/v1/2023.acl-industry.60},
doi = {10.18653/V1/2023.ACL-INDUSTRY.60},
timestamp = {Thu, 10 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/acl/0002ZACKMRZ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cvpr/0002C0POA0SM23,
author = {Zheng Xu and
Maxwell D. Collins and
Yuxiao Wang and
Liviu Panait and
Sewoong Oh and
Sean Augenstein and
Ting Liu and
Florian Schroff and
H. Brendan McMahan},
title = {Learning to Generate Image Embeddings with User-Level Differential
Privacy},
booktitle = {{IEEE/CVF} Conference on Computer Vision and Pattern Recognition,
{CVPR} 2023, Vancouver, BC, Canada, June 17-24, 2023},
pages = {7969--7980},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/CVPR52729.2023.00770},
doi = {10.1109/CVPR52729.2023.00770},
timestamp = {Mon, 28 Aug 2023 16:14:07 +0200},
biburl = {https://dblp.org/rec/conf/cvpr/0002C0POA0SM23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChoSJ0KZ23,
author = {Yae Jee Cho and
Pranay Sharma and
Gauri Joshi and
Zheng Xu and
Satyen Kale and
Tong Zhang},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {On the Convergence of Federated Averaging with Cyclic Client Participation},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {5677--5721},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/cho23b.html},
timestamp = {Mon, 11 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChoSJ0KZ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DasKXZS23,
author = {Rudrajit Das and
Satyen Kale and
Zheng Xu and
Tong Zhang and
Sujay Sanghavi},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {Beyond Uniform Lipschitz Condition in Differentially Private Optimization},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {7066--7101},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/das23c.html},
timestamp = {Thu, 08 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/DasKXZS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/kdd/PonomarevaV0MKZ23,
author = {Natalia Ponomareva and
Sergei Vassilvitskii and
Zheng Xu and
Brendan McMahan and
Alexey Kurakin and
Chiyaun Zhang},
editor = {Ambuj K. Singh and
Yizhou Sun and
Leman Akoglu and
Dimitrios Gunopulos and
Xifeng Yan and
Ravi Kumar and
Fatma Ozcan and
Jieping Ye},
title = {How to DP-fy {ML:} {A} Practical Tutorial to Machine Learning with
Differential Privacy},
booktitle = {Proceedings of the 29th {ACM} {SIGKDD} Conference on Knowledge Discovery
and Data Mining, {KDD} 2023, Long Beach, CA, USA, August 6-10, 2023},
pages = {5823--5824},
publisher = {{ACM}},
year = {2023},
url = {https://doi.org/10.1145/3580305.3599561},
doi = {10.1145/3580305.3599561},
timestamp = {Tue, 02 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/kdd/PonomarevaV0MKZ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/Choquette-ChooG23,
author = {Christopher A. Choquette{-}Choo and
Arun Ganesh and
Ryan McKenna and
H. Brendan McMahan and
John Rush and
Abhradeep Guha Thakurta and
Zheng Xu},
editor = {Alice Oh and
Tristan Naumann and
Amir Globerson and
Kate Saenko and
Moritz Hardt and
Sergey Levine},
title = {(Amplified) Banded Matrix Factorization: {A} unified approach to private
training},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference
on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
LA, USA, December 10 - 16, 2023},
year = {2023},
url = {http://papers.nips.cc/paper\_files/paper/2023/hash/ecc28b4ce9b39f5f23c3efb03e25b7bf-Abstract-Conference.html},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/Choquette-ChooG23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-03109,
author = {Yae Jee Cho and
Pranay Sharma and
Gauri Joshi and
Zheng Xu and
Satyen Kale and
Tong Zhang},
title = {On the Convergence of Federated Averaging with Cyclic Client Participation},
journal = {CoRR},
volume = {abs/2302.03109},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.03109},
doi = {10.48550/ARXIV.2302.03109},
eprinttype = {arXiv},
eprint = {2302.03109},
timestamp = {Mon, 11 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-03109.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2303-00654,
author = {Natalia Ponomareva and
Hussein Hazimeh and
Alex Kurakin and
Zheng Xu and
Carson Denison and
H. Brendan McMahan and
Sergei Vassilvitskii and
Steve Chien and
Abhradeep Thakurta},
title = {How to DP-fy {ML:} {A} Practical Guide to Machine Learning with Differential
Privacy},
journal = {CoRR},
volume = {abs/2303.00654},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2303.00654},
doi = {10.48550/ARXIV.2303.00654},
eprinttype = {arXiv},
eprint = {2303.00654},
timestamp = {Tue, 02 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2303-00654.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2303-10218,
author = {Alekh Agarwal and
H. Brendan McMahan and
Zheng Xu},
title = {An Empirical Evaluation of Federated Contextual Bandit Algorithms},
journal = {CoRR},
volume = {abs/2303.10218},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2303.10218},
doi = {10.48550/ARXIV.2303.10218},
eprinttype = {arXiv},
eprint = {2303.10218},
timestamp = {Wed, 22 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2303-10218.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-12132,
author = {Boxin Wang and
Jacky Yibo Zhang and
Yuan Cao and
Bo Li and
H. Brendan McMahan and
Sewoong Oh and
Zheng Xu and
Manzil Zaheer},
title = {Can Public Large Language Models Help Private Cross-device Federated
Learning?},
journal = {CoRR},
volume = {abs/2305.12132},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.12132},
doi = {10.48550/ARXIV.2305.12132},
eprinttype = {arXiv},
eprint = {2305.12132},
timestamp = {Mon, 22 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-12132.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-18465,
author = {Zheng Xu and
Yanxiang Zhang and
Galen Andrew and
Christopher A. Choquette{-}Choo and
Peter Kairouz and
H. Brendan McMahan and
Jesse Rosenstock and
Yuanbo Zhang},
title = {Federated Learning of Gboard Language Models with Differential Privacy},
journal = {CoRR},
volume = {abs/2305.18465},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.18465},
doi = {10.48550/ARXIV.2305.18465},
eprinttype = {arXiv},
eprint = {2305.18465},
timestamp = {Wed, 07 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-18465.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2306-08153,
author = {Christopher A. Choquette{-}Choo and
Arun Ganesh and
Ryan McKenna and
H. Brendan McMahan and
Keith Rush and
Abhradeep Guha Thakurta and
Zheng Xu},
title = {(Amplified) Banded Matrix Factorization: {A} unified approach to private
training},
journal = {CoRR},
volume = {abs/2306.08153},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2306.08153},
doi = {10.48550/ARXIV.2306.08153},
eprinttype = {arXiv},
eprint = {2306.08153},
timestamp = {Sun, 18 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2306-08153.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2306-14793,
author = {Yuanbo Zhang and
Daniel Ramage and
Zheng Xu and
Yanxiang Zhang and
Shumin Zhai and
Peter Kairouz},
title = {Private Federated Learning in Gboard},
journal = {CoRR},
volume = {abs/2306.14793},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2306.14793},
doi = {10.48550/ARXIV.2306.14793},
eprinttype = {arXiv},
eprint = {2306.14793},
timestamp = {Tue, 27 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2306-14793.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-09266,
author = {Nikhil Kandpal and
Krishna Pillutla and
Alina Oprea and
Peter Kairouz and
Christopher A. Choquette{-}Choo and
Zheng Xu},
title = {User Inference Attacks on Large Language Models},
journal = {CoRR},
volume = {abs/2310.09266},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2310.09266},
doi = {10.48550/ARXIV.2310.09266},
eprinttype = {arXiv},
eprint = {2310.09266},
timestamp = {Wed, 25 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2310-09266.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2312-09672,
author = {Zhongyi Zhou and
Jing Jin and
Vrushank Phadnis and
Xiuxiu Yuan and
Jun Jiang and
Xun Qian and
Jingtao Zhou and
Yiyi Huang and
Zheng Xu and
Yinda Zhang and
Kristen Wright and
Jason Mayes and
Mark Sherwood and
Johnny Lee and
Alex Olwal and
David Kim and
Ram Iyengar and
Na Li and
Ruofei Du},
title = {InstructPipe: Building Visual Programming Pipelines with Human Instructions},
journal = {CoRR},
volume = {abs/2312.09672},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2312.09672},
doi = {10.48550/ARXIV.2312.09672},
eprinttype = {arXiv},
eprint = {2312.09672},
timestamp = {Wed, 29 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2312-09672.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/Zhu0CKHG22,
author = {Chen Zhu and
Zheng Xu and
Mingqing Chen and
Jakub Kone{\v{c}}n{\'y} and
Andrew Hard and
Tom Goldstein},
title = {Diurnal or Nocturnal? Federated Learning of Multi-branch Networks
from Periodically Shifting Distributions},
booktitle = {The Tenth International Conference on Learning Representations, {ICLR}
2022, Virtual Event, April 25-29, 2022},
publisher = {OpenReview.net},
year = {2022},
url = {https://openreview.net/forum?id=E4EE\_ohFGz},
timestamp = {Wed, 16 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iclr/Zhu0CKHG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2206-04723,
author = {Jianyu Wang and
Rudrajit Das and
Gauri Joshi and
Satyen Kale and
Zheng Xu and
Tong Zhang},
title = {On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous
Data},
journal = {CoRR},
volume = {abs/2206.04723},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2206.04723},
doi = {10.48550/ARXIV.2206.04723},
eprinttype = {arXiv},
eprint = {2206.04723},
timestamp = {Mon, 11 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2206-04723.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2206-09262,
author = {Shanshan Wu and
Tian Li and
Zachary Charles and
Yu Xiao and
Ken Ziyu Liu and
Zheng Xu and
Virginia Smith},
title = {Motley: Benchmarking Heterogeneity and Personalization in Federated
Learning},
journal = {CoRR},
volume = {abs/2206.09262},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2206.09262},
doi = {10.48550/ARXIV.2206.09262},
eprinttype = {arXiv},
eprint = {2206.09262},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2206-09262.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2206-10713,
author = {Rudrajit Das and
Satyen Kale and
Zheng Xu and
Tong Zhang and
Sujay Sanghavi},
title = {Beyond Uniform Lipschitz Condition in Differentially Private Optimization},
journal = {CoRR},
volume = {abs/2206.10713},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2206.10713},
doi = {10.48550/ARXIV.2206.10713},
eprinttype = {arXiv},
eprint = {2206.10713},
timestamp = {Mon, 11 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2206-10713.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2211-10844,
author = {Zheng Xu and
Maxwell D. Collins and
Yuxiao Wang and
Liviu Panait and
Sewoong Oh and
Sean Augenstein and
Ting Liu and
Florian Schroff and
H. Brendan McMahan},
title = {Learning to Generate Image Embeddings with User-level Differential
Privacy},
journal = {CoRR},
volume = {abs/2211.10844},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2211.10844},
doi = {10.48550/ARXIV.2211.10844},
eprinttype = {arXiv},
eprint = {2211.10844},
timestamp = {Tue, 07 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2211-10844.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ftml/KairouzMABBBBCC21,
author = {Peter Kairouz and
H. Brendan McMahan and
Brendan Avent and
Aur{\'{e}}lien Bellet and
Mehdi Bennis and
Arjun Nitin Bhagoji and
Kallista A. Bonawitz and
Zachary Charles and
Graham Cormode and
Rachel Cummings and
Rafael G. L. D'Oliveira and
Hubert Eichner and
Salim El Rouayheb and
David Evans and
Josh Gardner and
Zachary Garrett and
Adri{\`{a}} Gasc{\'{o}}n and
Badih Ghazi and
Phillip B. Gibbons and
Marco Gruteser and
Za{\"{\i}}d Harchaoui and
Chaoyang He and
Lie He and
Zhouyuan Huo and
Ben Hutchinson and
Justin Hsu and
Martin Jaggi and
Tara Javidi and
Gauri Joshi and
Mikhail Khodak and
Jakub Kone{\v{c}}n{\'y} and
Aleksandra Korolova and
Farinaz Koushanfar and
Sanmi Koyejo and
Tancr{\`{e}}de Lepoint and
Yang Liu and
Prateek Mittal and
Mehryar Mohri and
Richard Nock and
Ayfer {\"{O}}zg{\"{u}}r and
Rasmus Pagh and
Hang Qi and
Daniel Ramage and
Ramesh Raskar and
Mariana Raykova and
Dawn Song and
Weikang Song and
Sebastian U. Stich and
Ziteng Sun and
Ananda Theertha Suresh and
Florian Tram{\`{e}}r and
Praneeth Vepakomma and
Jianyu Wang and
Li Xiong and
Zheng Xu and
Qiang Yang and
Felix X. Yu and
Han Yu and
Sen Zhao},
title = {Advances and Open Problems in Federated Learning},
journal = {Found. Trends Mach. Learn.},
volume = {14},
number = {1-2},
pages = {1--210},
year = {2021},
url = {https://doi.org/10.1561/2200000083},
doi = {10.1561/2200000083},
timestamp = {Mon, 02 Sep 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ftml/KairouzMABBBBCC21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KairouzM00TX21,
author = {Peter Kairouz and
Brendan McMahan and
Shuang Song and
Om Thakkar and
Abhradeep Thakurta and
Zheng Xu},
editor = {Marina Meila and
Tong Zhang},
title = {Practical and Private (Deep) Learning Without Sampling or Shuffling},
booktitle = {Proceedings of the 38th International Conference on Machine Learning,
{ICML} 2021, 18-24 July 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {139},
pages = {5213--5225},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v139/kairouz21b.html},
timestamp = {Tue, 29 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/KairouzM00TX21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/ZhuNXKHG21,
author = {Chen Zhu and
Renkun Ni and
Zheng Xu and
Kezhi Kong and
W. Ronny Huang and
Tom Goldstein},
editor = {Marc'Aurelio Ranzato and
Alina Beygelzimer and
Yann N. Dauphin and
Percy Liang and
Jennifer Wortman Vaughan},
title = {GradInit: Learning to Initialize Neural Networks for Stable and Efficient
Training},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
on Neural Information Processing Systems 2021, NeurIPS 2021, December
6-14, 2021, virtual},
pages = {16410--16422},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/88ae6372cfdc5df69a976e893f4d554b-Abstract.html},
timestamp = {Wed, 16 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/nips/ZhuNXKHG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2102-08098,
author = {Chen Zhu and
Renkun Ni and
Zheng Xu and
Kezhi Kong and
W. Ronny Huang and
Tom Goldstein},
title = {GradInit: Learning to Initialize Neural Networks for Stable and Efficient
Training},
journal = {CoRR},
volume = {abs/2102.08098},
year = {2021},
url = {https://arxiv.org/abs/2102.08098},
eprinttype = {arXiv},
eprint = {2102.08098},
timestamp = {Wed, 16 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2102-08098.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2103-00039,
author = {Peter Kairouz and
Brendan McMahan and
Shuang Song and
Om Thakkar and
Abhradeep Thakurta and
Zheng Xu},
title = {Practical and Private (Deep) Learning without Sampling or Shuffling},
journal = {CoRR},
volume = {abs/2103.00039},
year = {2021},
url = {https://arxiv.org/abs/2103.00039},
eprinttype = {arXiv},
eprint = {2103.00039},
timestamp = {Tue, 29 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2103-00039.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-02305,
author = {Jianyu Wang and
Zheng Xu and
Zachary Garrett and
Zachary Charles and
Luyang Liu and
Gauri Joshi},
title = {Local Adaptivity in Federated Learning: Convergence and Consistency},
journal = {CoRR},
volume = {abs/2106.02305},
year = {2021},
url = {https://arxiv.org/abs/2106.02305},
eprinttype = {arXiv},
eprint = {2106.02305},
timestamp = {Tue, 29 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2106-02305.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2107-06917,
author = {Jianyu Wang and
Zachary Charles and
Zheng Xu and
Gauri Joshi and
H. Brendan McMahan and
Blaise Ag{\"{u}}era y Arcas and
Maruan Al{-}Shedivat and
Galen Andrew and
Salman Avestimehr and
Katharine Daly and
Deepesh Data and
Suhas N. Diggavi and
Hubert Eichner and
Advait Gadhikar and
Zachary Garrett and
Antonious M. Girgis and
Filip Hanzely and
Andrew Hard and
Chaoyang He and
Samuel Horv{\'{a}}th and
Zhouyuan Huo and
Alex Ingerman and
Martin Jaggi and
Tara Javidi and
Peter Kairouz and
Satyen Kale and
Sai Praneeth Karimireddy and
Jakub Kone{\v{c}}n{\'y} and
Sanmi Koyejo and
Tian Li and
Luyang Liu and
Mehryar Mohri and
Hang Qi and
Sashank J. Reddi and
Peter Richt{\'{a}}rik and
Karan Singhal and
Virginia Smith and
Mahdi Soltanolkotabi and
Weikang Song and
Ananda Theertha Suresh and
Sebastian U. Stich and
Ameet Talwalkar and
Hongyi Wang and
Blake E. Woodworth and
Shanshan Wu and
Felix X. Yu and
Honglin Yuan and
Manzil Zaheer and
Mi Zhang and
Tong Zhang and
Chunxiang Zheng and
Chen Zhu and
Wennan Zhu},
title = {A Field Guide to Federated Optimization},
journal = {CoRR},
volume = {abs/2107.06917},
year = {2021},
url = {https://arxiv.org/abs/2107.06917},
eprinttype = {arXiv},
eprint = {2107.06917},
timestamp = {Wed, 06 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2107-06917.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2110-03450,
author = {Hakim Sidahmed and
Zheng Xu and
Ankush Garg and
Yuan Cao and
Mingqing Chen},
title = {Efficient and Private Federated Learning with Partially Trainable
Networks},
journal = {CoRR},
volume = {abs/2110.03450},
year = {2021},
url = {https://arxiv.org/abs/2110.03450},
eprinttype = {arXiv},
eprint = {2110.03450},
timestamp = {Tue, 29 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2110-03450.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/cg/XuWFHJ20,
author = {Zheng Xu and
Michael J. Wilber and
Chen Fang and
Aaron Hertzmann and
Hailin Jin},
title = {Adversarial training for fast arbitrary style transfer},
journal = {Comput. Graph.},
volume = {87},
pages = {1--11},
year = {2020},
url = {https://doi.org/10.1016/j.cag.2020.01.001},
doi = {10.1016/J.CAG.2020.01.001},
timestamp = {Sat, 11 Apr 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/cg/XuWFHJ20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/ShafahiN0DDG20,
author = {Ali Shafahi and
Mahyar Najibi and
Zheng Xu and
John P. Dickerson and
Larry S. Davis and
Tom Goldstein},
title = {Universal Adversarial Training},
booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
2020, The Thirty-Second Innovative Applications of Artificial Intelligence
Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
February 7-12, 2020},
pages = {5636--5643},
publisher = {{AAAI} Press},
year = {2020},
url = {https://doi.org/10.1609/aaai.v34i04.6017},
doi = {10.1609/AAAI.V34I04.6017},
timestamp = {Mon, 04 Sep 2023 12:29:24 +0200},
biburl = {https://dblp.org/rec/conf/aaai/ShafahiN0DDG20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SankararamanD0H20,
author = {Karthik Abinav Sankararaman and
Soham De and
Zheng Xu and
W. Ronny Huang and
Tom Goldstein},
title = {The Impact of Neural Network Overparameterization on Gradient Confusion
and Stochastic Gradient Descent},
booktitle = {Proceedings of the 37th International Conference on Machine Learning,
{ICML} 2020, 13-18 July 2020, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {119},
pages = {8469--8479},
publisher = {{PMLR}},
year = {2020},
url = {http://proceedings.mlr.press/v119/sankararaman20a.html},
timestamp = {Tue, 15 Dec 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/SankararamanD0H20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-00387,
author = {Zheng Xu and
Ali Shafahi and
Tom Goldstein},
title = {Exploring Model Robustness with Adaptive Networks and Improved Adversarial
Training},
journal = {CoRR},
volume = {abs/2006.00387},
year = {2020},
url = {https://arxiv.org/abs/2006.00387},
eprinttype = {arXiv},
eprint = {2006.00387},
timestamp = {Mon, 08 Jun 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2006-00387.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2010-07334,
author = {Chen Zhu and
Zheng Xu and
Ali Shafahi and
Manli Shu and
Amin Ghiasi and
Tom Goldstein},
title = {Towards Accurate Quantization and Pruning via Data-free Knowledge
Transfer},
journal = {CoRR},
volume = {abs/2010.07334},
year = {2020},
url = {https://arxiv.org/abs/2010.07334},
eprinttype = {arXiv},
eprint = {2010.07334},
timestamp = {Wed, 16 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2010-07334.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/basesearch/Xu19c,
author = {Zheng Xu},
title = {Alternating Optimization: Constrained Problems, Adversarial Networks,
and Robust Models},
school = {University of Maryland, College Park, MD, {USA}},
year = {2019},
url = {https://hdl.handle.net/1903/25045},
doi = {10.13016/XGWP-EDLC},
timestamp = {Wed, 04 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/phd/basesearch/Xu19c.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/expressive/0002WFHJ19,
author = {Zheng Xu and
Michael J. Wilber and
Chen Fang and
Aaron Hertzmann and
Hailin Jin},
editor = {Craig S. Kaplan and
Angus G. Forbes and
Stephen DiVerdi},
title = {Learning from Multi-domain Artistic Images for Arbitrary Style Transfer},
booktitle = {8th ACM/Eurographics Expressive Symposium, Expressive 2019, Genoa,
Italy, May 5-6, 2019, Proceedings},
pages = {21--31},
publisher = {Eurographics Association},
year = {2019},
url = {https://doi.org/10.2312/exp.20191073},
doi = {10.2312/EXP.20191073},
timestamp = {Mon, 17 Aug 2020 16:49:36 +0200},
biburl = {https://dblp.org/rec/conf/expressive/0002WFHJ19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/ShafahiNG0DSDTG19,
author = {Ali Shafahi and
Mahyar Najibi and
Amin Ghiasi and
Zheng Xu and
John P. Dickerson and
Christoph Studer and
Larry S. Davis and
Gavin Taylor and
Tom Goldstein},
editor = {Hanna M. Wallach and
Hugo Larochelle and
Alina Beygelzimer and
Florence d'Alch{\'{e}}{-}Buc and
Emily B. Fox and
Roman Garnett},
title = {Adversarial training for free!},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
on Neural Information Processing Systems 2019, NeurIPS 2019, December
8-14, 2019, Vancouver, BC, Canada},
pages = {3353--3364},
year = {2019},
url = {https://proceedings.neurips.cc/paper/2019/hash/7503cfacd12053d309b6bed5c89de212-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/ShafahiNG0DSDTG19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1904-06963,
author = {Karthik Abinav Sankararaman and
Soham De and
Zheng Xu and
W. Ronny Huang and
Tom Goldstein},
title = {The Impact of Neural Network Overparameterization on Gradient Confusion
and Stochastic Gradient Descent},
journal = {CoRR},
volume = {abs/1904.06963},
year = {2019},
url = {http://arxiv.org/abs/1904.06963},
eprinttype = {arXiv},
eprint = {1904.06963},
timestamp = {Thu, 25 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1904-06963.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1904-12843,
author = {Ali Shafahi and
Mahyar Najibi and
Amin Ghiasi and
Zheng Xu and
John P. Dickerson and
Christoph Studer and
Larry S. Davis and
Gavin Taylor and
Tom Goldstein},
title = {Adversarial Training for Free!},
journal = {CoRR},
volume = {abs/1904.12843},
year = {2019},
url = {http://arxiv.org/abs/1904.12843},
eprinttype = {arXiv},
eprint = {1904.12843},
timestamp = {Thu, 02 May 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1904-12843.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1912-04977,
author = {Peter Kairouz and
H. Brendan McMahan and
Brendan Avent and
Aur{\'{e}}lien Bellet and
Mehdi Bennis and
Arjun Nitin Bhagoji and
Kallista A. Bonawitz and
Zachary Charles and
Graham Cormode and
Rachel Cummings and
Rafael G. L. D'Oliveira and
Salim El Rouayheb and
David Evans and
Josh Gardner and
Zachary Garrett and
Adri{\`{a}} Gasc{\'{o}}n and
Badih Ghazi and
Phillip B. Gibbons and
Marco Gruteser and
Za{\"{\i}}d Harchaoui and
Chaoyang He and
Lie He and
Zhouyuan Huo and
Ben Hutchinson and
Justin Hsu and
Martin Jaggi and
Tara Javidi and
Gauri Joshi and
Mikhail Khodak and
Jakub Kone{\v{c}}n{\'y} and
Aleksandra Korolova and
Farinaz Koushanfar and
Sanmi Koyejo and
Tancr{\`{e}}de Lepoint and
Yang Liu and
Prateek Mittal and
Mehryar Mohri and
Richard Nock and
Ayfer {\"{O}}zg{\"{u}}r and
Rasmus Pagh and
Mariana Raykova and
Hang Qi and
Daniel Ramage and
Ramesh Raskar and
Dawn Song and
Weikang Song and
Sebastian U. Stich and
Ziteng Sun and
Ananda Theertha Suresh and
Florian Tram{\`{e}}r and
Praneeth Vepakomma and
Jianyu Wang and
Li Xiong and
Zheng Xu and
Qiang Yang and
Felix X. Yu and
Han Yu and
Sen Zhao},
title = {Advances and Open Problems in Federated Learning},
journal = {CoRR},
volume = {abs/1912.04977},
year = {2019},
url = {http://arxiv.org/abs/1912.04977},
eprinttype = {arXiv},
eprint = {1912.04977},
timestamp = {Mon, 02 Sep 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1912-04977.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/pami/LiXXDG18,
author = {Wen Li and
Zheng Xu and
Dong Xu and
Dengxin Dai and
Luc Van Gool},
title = {Domain Generalization and Adaptation Using Low Rank Exemplar SVMs},
journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
volume = {40},
number = {5},
pages = {1114--1127},
year = {2018},
url = {https://doi.org/10.1109/TPAMI.2017.2704624},
doi = {10.1109/TPAMI.2017.2704624},
timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/pami/LiXXDG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/YangXL18,
author = {Xitong Yang and
Zheng Xu and
Jiebo Luo},
editor = {Sheila A. McIlraith and
Kilian Q. Weinberger},
title = {Towards Perceptual Image Dehazing by Physics-Based Disentanglement
and Adversarial Training},
booktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence,
(AAAI-18), the 30th innovative Applications of Artificial Intelligence
(IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in
Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February
2-7, 2018},
pages = {7485--7492},
publisher = {{AAAI} Press},
year = {2018},
url = {https://doi.org/10.1609/aaai.v32i1.12317},
doi = {10.1609/AAAI.V32I1.12317},
timestamp = {Mon, 04 Sep 2023 12:29:24 +0200},
biburl = {https://dblp.org/rec/conf/aaai/YangXL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/bmvc/0002HH18,
author = {Zheng Xu and
Yen{-}Chang Hsu and
Jiawei Huang},
title = {Training Student Networks for Acceleration with Conditional Adversarial
Networks},
booktitle = {British Machine Vision Conference 2018, {BMVC} 2018, Newcastle, UK,
September 3-6, 2018},
pages = {61},
publisher = {{BMVA} Press},
year = {2018},
url = {http://bmvc2018.org/contents/papers/0154.pdf},
timestamp = {Thu, 11 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/bmvc/0002HH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/bmvc/0002YLS18,
author = {Zheng Xu and
Xitong Yang and
Xue Li and
Xiaoshuai Sun},
title = {Strong Baseline for Single Image Dehazing with Deep Features and Instance
Normalization},
booktitle = {British Machine Vision Conference 2018, {BMVC} 2018, Newcastle, UK,
September 3-6, 2018},
pages = {243},
publisher = {{BMVA} Press},
year = {2018},
url = {http://bmvc2018.org/contents/papers/0821.pdf},
timestamp = {Thu, 12 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/bmvc/0002YLS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/0002HH18,
author = {Zheng Xu and
Yen{-}Chang Hsu and
Jiawei Huang},
title = {Training Shallow and Thin Networks for Acceleration via Knowledge
Distillation with Conditional Adversarial Networks},
booktitle = {6th International Conference on Learning Representations, {ICLR} 2018,
Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings},
publisher = {OpenReview.net},
year = {2018},
url = {https://openreview.net/forum?id=BJbtuRRLM},
timestamp = {Thu, 11 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iclr/0002HH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/YadavS0JG18,
author = {Abhay Kumar Yadav and
Sohil Shah and
Zheng Xu and
David W. Jacobs and
Tom Goldstein},
title = {Stabilizing Adversarial Nets with Prediction Methods},
booktitle = {6th International Conference on Learning Representations, {ICLR} 2018,
Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings},
publisher = {OpenReview.net},
year = {2018},
url = {https://openreview.net/forum?id=Skj8Kag0Z},
timestamp = {Thu, 25 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iclr/YadavS0JG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ijcnn/Hsu0KH18,
author = {Yen{-}Chang Hsu and
Zheng Xu and
Zsolt Kira and
Jiawei Huang},
title = {Learning to Cluster for Proposal-Free Instance Segmentation},
booktitle = {2018 International Joint Conference on Neural Networks, {IJCNN} 2018,
Rio de Janeiro, Brazil, July 8-13, 2018},
pages = {1--8},
publisher = {{IEEE}},
year = {2018},
url = {https://doi.org/10.1109/IJCNN.2018.8489379},
doi = {10.1109/IJCNN.2018.8489379},
timestamp = {Thu, 11 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/ijcnn/Hsu0KH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/Li0TSG18,
author = {Hao Li and
Zheng Xu and
Gavin Taylor and
Christoph Studer and
Tom Goldstein},
editor = {Samy Bengio and
Hanna M. Wallach and
Hugo Larochelle and
Kristen Grauman and
Nicol{\`{o}} Cesa{-}Bianchi and
Roman Garnett},
title = {Visualizing the Loss Landscape of Neural Nets},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference
on Neural Information Processing Systems 2018, NeurIPS 2018, December
3-8, 2018, Montr{\'{e}}al, Canada},
pages = {6391--6401},
year = {2018},
url = {https://proceedings.neurips.cc/paper/2018/hash/a41b3bb3e6b050b6c9067c67f663b915-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/Li0TSG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1803-06459,
author = {Yen{-}Chang Hsu and
Zheng Xu and
Zsolt Kira and
Jiawei Huang},
title = {Learning to Cluster for Proposal-Free Instance Segmentation},
journal = {CoRR},
volume = {abs/1803.06459},
year = {2018},
url = {http://arxiv.org/abs/1803.06459},
eprinttype = {arXiv},
eprint = {1803.06459},
timestamp = {Thu, 11 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1803-06459.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1805-03305,
author = {Zheng Xu and
Xitong Yang and
Xue Li and
Xiaoshuai Sun},
title = {The Effectiveness of Instance Normalization: a Strong Baseline for
Single Image Dehazing},
journal = {CoRR},
volume = {abs/1805.03305},
year = {2018},
url = {http://arxiv.org/abs/1805.03305},
eprinttype = {arXiv},
eprint = {1805.03305},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1805-03305.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1805-09987,
author = {Zheng Xu and
Michael J. Wilber and
Chen Fang and
Aaron Hertzmann and
Hailin Jin},
title = {Beyond Textures: Learning from Multi-domain Artistic Images for Arbitrary
Style Transfer},
journal = {CoRR},
volume = {abs/1805.09987},
year = {2018},
url = {http://arxiv.org/abs/1805.09987},
eprinttype = {arXiv},
eprint = {1805.09987},
timestamp = {Sat, 11 Apr 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1805-09987.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1811-11304,
author = {Ali Shafahi and
Mahyar Najibi and
Zheng Xu and
John P. Dickerson and
Larry S. Davis and
Tom Goldstein},
title = {Universal Adversarial Training},
journal = {CoRR},
volume = {abs/1811.11304},
year = {2018},
url = {http://arxiv.org/abs/1811.11304},
eprinttype = {arXiv},
eprint = {1811.11304},
timestamp = {Thu, 06 Dec 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1811-11304.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/Taylor0G17,
author = {Gavin Taylor and
Zheng Xu and
Tom Goldstein},
title = {Scalable Classifiers with {ADMM} and Transpose Reduction},
booktitle = {The Workshops of the The Thirty-First {AAAI} Conference on Artificial
Intelligence, Saturday, February 4-9, 2017, San Francisco, California,
{USA}},
series = {{AAAI} Technical Report},
volume = {{WS-17}},
publisher = {{AAAI} Press},
year = {2017},
url = {http://aaai.org/ocs/index.php/WS/AAAIW17/paper/view/15174},
timestamp = {Mon, 04 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/Taylor0G17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0002FG17,
author = {Zheng Xu and
M{\'{a}}rio A. T. Figueiredo and
Tom Goldstein},
editor = {Aarti Singh and
Xiaojin (Jerry) Zhu},
title = {Adaptive {ADMM} with Spectral Penalty Parameter Selection},
booktitle = {Proceedings of the 20th International Conference on Artificial Intelligence
and Statistics, {AISTATS} 2017, 20-22 April 2017, Fort Lauderdale,
FL, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {54},
pages = {718--727},
publisher = {{PMLR}},
year = {2017},
url = {http://proceedings.mlr.press/v54/xu17a.html},
timestamp = {Wed, 29 May 2019 08:41:44 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0002FG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cvpr/0002FYSG17,
author = {Zheng Xu and
M{\'{a}}rio A. T. Figueiredo and
Xiaoming Yuan and
Christoph Studer and
Tom Goldstein},
title = {Adaptive Relaxed {ADMM:} Convergence Theory and Practical Implementation},
booktitle = {2017 {IEEE} Conference on Computer Vision and Pattern Recognition,
{CVPR} 2017, Honolulu, HI, USA, July 21-26, 2017},
pages = {7234--7243},
publisher = {{IEEE} Computer Society},
year = {2017},
url = {https://doi.org/10.1109/CVPR.2017.765},
doi = {10.1109/CVPR.2017.765},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/cvpr/0002FYSG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0002TLFYG17,
author = {Zheng Xu and
Gavin Taylor and
Hao Li and
M{\'{a}}rio A. T. Figueiredo and
Xiaoming Yuan and
Tom Goldstein},
editor = {Doina Precup and
Yee Whye Teh},
title = {Adaptive Consensus {ADMM} for Distributed Optimization},
booktitle = {Proceedings of the 34th International Conference on Machine Learning,
{ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017},
series = {Proceedings of Machine Learning Research},
volume = {70},
pages = {3841--3850},
publisher = {{PMLR}},
year = {2017},
url = {http://proceedings.mlr.press/v70/xu17c.html},
timestamp = {Wed, 29 May 2019 08:41:45 +0200},
biburl = {https://dblp.org/rec/conf/icml/0002TLFYG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/LiD0SSG17,
author = {Hao Li and
Soham De and
Zheng Xu and
Christoph Studer and
Hanan Samet and
Tom Goldstein},
editor = {Isabelle Guyon and
Ulrike von Luxburg and
Samy Bengio and
Hanna M. Wallach and
Rob Fergus and
S. V. N. Vishwanathan and
Roman Garnett},
title = {Training Quantized Nets: {A} Deeper Understanding},
booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference
on Neural Information Processing Systems 2017, December 4-9, 2017,
Long Beach, CA, {USA}},
pages = {5811--5821},
year = {2017},
url = {https://proceedings.neurips.cc/paper/2017/hash/1c303b0eed3133200cf715285011b4e4-Abstract.html},
timestamp = {Thu, 21 Jan 2021 13:58:27 +0100},
biburl = {https://dblp.org/rec/conf/nips/LiD0SSG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sigmod/Raschid0Z17,
author = {Louiqa Raschid and
Zheng Xu and
Elena Zotkina},
title = {Exploring Financial Relationships Using Probabilistic Topic Models
(Demonstration Paper)},
booktitle = {Proceedings of the 3rd International Workshop on Data Science for
Macro-Modeling with Financial and Economic Datasets, DSMM@SIGMOD 2017,
Chicago, IL, USA, May 14, 2017},
pages = {9:1--9:5},
publisher = {{ACM}},
year = {2017},
url = {https://doi.org/10.1145/3077240.3077247},
doi = {10.1145/3077240.3077247},
timestamp = {Tue, 06 Nov 2018 11:07:38 +0100},
biburl = {https://dblp.org/rec/conf/sigmod/Raschid0Z17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/0002FYSG17,
author = {Zheng Xu and
M{\'{a}}rio A. T. Figueiredo and
Xiaoming Yuan and
Christoph Studer and
Tom Goldstein},
title = {Adaptive Relaxed {ADMM:} Convergence Theory and Practical Implementation},
journal = {CoRR},
volume = {abs/1704.02712},
year = {2017},
url = {http://arxiv.org/abs/1704.02712},
eprinttype = {arXiv},
eprint = {1704.02712},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/0002FYSG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/YadavS0JG17,
author = {Abhay Kumar Yadav and
Sohil Shah and
Zheng Xu and
David W. Jacobs and
Tom Goldstein},
title = {Stabilizing Adversarial Nets With Prediction Methods},
journal = {CoRR},
volume = {abs/1705.07364},
year = {2017},
url = {http://arxiv.org/abs/1705.07364},
eprinttype = {arXiv},
eprint = {1705.07364},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/YadavS0JG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/LiD0SSG17,
author = {Hao Li and
Soham De and
Zheng Xu and
Christoph Studer and
Hanan Samet and
Tom Goldstein},
title = {Training Quantized Nets: {A} Deeper Understanding},
journal = {CoRR},
volume = {abs/1706.02379},
year = {2017},
url = {http://arxiv.org/abs/1706.02379},
eprinttype = {arXiv},
eprint = {1706.02379},
timestamp = {Fri, 29 Mar 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/LiD0SSG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/0002TLFYG17,
author = {Zheng Xu and
Gavin Taylor and
Hao Li and
M{\'{a}}rio A. T. Figueiredo and
Xiaoming Yuan and
Tom Goldstein},
title = {Adaptive Consensus {ADMM} for Distributed Optimization},
journal = {CoRR},
volume = {abs/1706.02869},
year = {2017},
url = {http://arxiv.org/abs/1706.02869},
eprinttype = {arXiv},
eprint = {1706.02869},
timestamp = {Thu, 16 May 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/0002TLFYG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1709-00513,
author = {Zheng Xu and
Yen{-}Chang Hsu and
Jiawei Huang},
title = {Learning Loss for Knowledge Distillation with Conditional Adversarial
Networks},
journal = {CoRR},
volume = {abs/1709.00513},
year = {2017},
url = {http://arxiv.org/abs/1709.00513},
eprinttype = {arXiv},
eprint = {1709.00513},
timestamp = {Thu, 11 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1709-00513.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1712-09913,
author = {Hao Li and
Zheng Xu and
Gavin Taylor and
Tom Goldstein},
title = {Visualizing the Loss Landscape of Neural Nets},
journal = {CoRR},
volume = {abs/1712.09913},
year = {2017},
url = {http://arxiv.org/abs/1712.09913},
eprinttype = {arXiv},
eprint = {1712.09913},
timestamp = {Thu, 16 May 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1712-09913.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cikm/BurdickDRSXZ16,
author = {Douglas Burdick and
Soham De and
Louiqa Raschid and
Mingchao Shao and
Zheng Xu and
Elena Zotkina},
title = {resMBS: Constructing a Financial Supply Chain from Prospectus},
booktitle = {Proceedings of the Second International Workshop on Data Science for
Macro-Modeling, DSMM@SIGMOD 2016, San Francisco, CA, USA, June 26
- July 1, 2016},
pages = {7:1--7:6},
publisher = {{ACM}},
year = {2016},
url = {https://doi.org/10.1145/2951894.2951895},
doi = {10.1145/2951894.2951895},
timestamp = {Tue, 06 Nov 2018 16:57:43 +0100},
biburl = {https://dblp.org/rec/conf/cikm/BurdickDRSXZ16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cikm/XuR16,
author = {Zheng Xu and
Louiqa Raschid},
title = {Probabilistic Financial Community Models with Latent Dirichlet Allocation
for Financial Supply Chains},
booktitle = {Proceedings of the Second International Workshop on Data Science for
Macro-Modeling, DSMM@SIGMOD 2016, San Francisco, CA, USA, June 26
- July 1, 2016},
pages = {8:1--8:6},
publisher = {{ACM}},
year = {2016},
url = {https://doi.org/10.1145/2951894.2951900},
doi = {10.1145/2951894.2951900},
timestamp = {Tue, 06 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/cikm/XuR16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TaylorBXSPG16,
author = {Gavin Taylor and
Ryan Burmeister and
Zheng Xu and
Bharat Singh and
Ankit B. Patel and
Tom Goldstein},
editor = {Maria{-}Florina Balcan and
Kilian Q. Weinberger},
title = {Training Neural Networks Without Gradients: {A} Scalable {ADMM} Approach},
booktitle = {Proceedings of the 33nd International Conference on Machine Learning,
{ICML} 2016, New York City, NY, USA, June 19-24, 2016},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {48},
pages = {2722--2731},
publisher = {JMLR.org},
year = {2016},
url = {http://proceedings.mlr.press/v48/taylor16.html},
timestamp = {Mon, 02 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/TaylorBXSPG16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/XuBR16,
author = {Zheng Xu and
Douglas Burdick and
Louiqa Raschid},
title = {Exploiting Lists of Names for Named Entity Identification of Financial
Institutions from Unstructured Documents},
journal = {CoRR},
volume = {abs/1602.04427},
year = {2016},
url = {http://arxiv.org/abs/1602.04427},
eprinttype = {arXiv},
eprint = {1602.04427},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/XuBR16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/TaylorBXSPG16,
author = {Gavin Taylor and
Ryan Burmeister and
Zheng Xu and
Bharat Singh and
Ankit B. Patel and
Tom Goldstein},
title = {Training Neural Networks Without Gradients: {A} Scalable {ADMM} Approach},
journal = {CoRR},
volume = {abs/1605.02026},
year = {2016},
url = {http://arxiv.org/abs/1605.02026},
eprinttype = {arXiv},
eprint = {1605.02026},
timestamp = {Mon, 02 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/TaylorBXSPG16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/XuFG16,
author = {Zheng Xu and
M{\'{a}}rio A. T. Figueiredo and
Tom Goldstein},
title = {Adaptive {ADMM} with Spectral Penalty Parameter Selection},
journal = {CoRR},
volume = {abs/1605.07246},
year = {2016},
url = {http://arxiv.org/abs/1605.07246},
eprinttype = {arXiv},
eprint = {1605.07246},
timestamp = {Tue, 12 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/XuFG16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/0002DFSG16,
author = {Zheng Xu and
Soham De and
M{\'{a}}rio A. T. Figueiredo and
Christoph Studer and
Tom Goldstein},
title = {An Empirical Study of {ADMM} for Nonconvex Problems},
journal = {CoRR},
volume = {abs/1612.03349},
year = {2016},
url = {http://arxiv.org/abs/1612.03349},
eprinttype = {arXiv},
eprint = {1612.03349},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/0002DFSG16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/0002HRG16,
author = {Zheng Xu and
Furong Huang and
Louiqa Raschid and
Tom Goldstein},
title = {Non-negative Factorization of the Occurrence Tensor from Financial
Contracts},
journal = {CoRR},
volume = {abs/1612.03350},
year = {2016},
url = {http://arxiv.org/abs/1612.03350},
eprinttype = {arXiv},
eprint = {1612.03350},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/0002HRG16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/bmvc/XuLYG15,
author = {Zheng Xu and
Xue Li and
Kuiyuan Yang and
Thomas A. Goldstein},
editor = {Xianghua Xie and
Mark W. Jones and
Gary K. L. Tam},
title = {Exploiting Low-rank Structure for Discriminative Sub-categorization},
booktitle = {Proceedings of the British Machine Vision Conference 2015, {BMVC}
2015, Swansea, UK, September 7-10, 2015},
pages = {149.1--149.12},
publisher = {{BMVA} Press},
year = {2015},
url = {https://doi.org/10.5244/C.29.149},
doi = {10.5244/C.29.149},
timestamp = {Fri, 20 Sep 2024 10:02:54 +0200},
biburl = {https://dblp.org/rec/conf/bmvc/XuLYG15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/eccv/XuLNX14,
author = {Zheng Xu and
Wen Li and
Li Niu and
Dong Xu},
editor = {David J. Fleet and
Tom{\'{a}}s Pajdla and
Bernt Schiele and
Tinne Tuytelaars},
title = {Exploiting Low-Rank Structure from Latent Domains for Domain Generalization},
booktitle = {Computer Vision - {ECCV} 2014 - 13th European Conference, Zurich,
Switzerland, September 6-12, 2014, Proceedings, Part {III}},
series = {Lecture Notes in Computer Science},
volume = {8691},
pages = {628--643},
publisher = {Springer},
year = {2014},
url = {https://doi.org/10.1007/978-3-319-10578-9\_41},
doi = {10.1007/978-3-319-10578-9\_41},
timestamp = {Sat, 30 Sep 2023 09:39:19 +0200},
biburl = {https://dblp.org/rec/conf/eccv/XuLNX14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icmcs/XuWC13,
author = {Zheng Xu and
Xin{-}Jing Wang and
Chang Wen Chen},
title = {Mining visualness},
booktitle = {Proceedings of the 2013 {IEEE} International Conference on Multimedia
and Expo, {ICME} 2013, San Jose, CA, USA, July 15-19, 2013},
pages = {1--6},
publisher = {{IEEE} Computer Society},
year = {2013},
url = {https://doi.org/10.1109/ICME.2013.6607521},
doi = {10.1109/ICME.2013.6607521},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icmcs/XuWC13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mm/WangXZLR12,
author = {Xin{-}Jing Wang and
Zheng Xu and
Lei Zhang and
Ce Liu and
Yong Rui},
editor = {Noboru Babaguchi and
Kiyoharu Aizawa and
John R. Smith and
Shin'ichi Satoh and
Thomas Plagemann and
Xian{-}Sheng Hua and
Rong Yan},
title = {Towards indexing representative images on the web},
booktitle = {Proceedings of the 20th {ACM} Multimedia Conference, {MM} '12, Nara,
Japan, October 29 - November 02, 2012},
pages = {1229--1238},
publisher = {{ACM}},
year = {2012},
url = {https://doi.org/10.1145/2393347.2396423},
doi = {10.1145/2393347.2396423},
timestamp = {Fri, 03 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/mm/WangXZLR12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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.
last updated on 2024-09-26 01:55 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
