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Jinyan Su
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2020 – today
- 2024
- [j4]Jinyan Su, Jinhui Xu, Di Wang:
PAC learning halfspaces in non-interactive local differential privacy model with public unlabeled data. J. Comput. Syst. Sci. 141: 103496 (2024) - [j3]Jinyan Su, Lijie Hu, Di Wang:
Faster Rates of Differentially Private Stochastic Convex Optimization. J. Mach. Learn. Res. 25: 114:1-114:41 (2024) - [c11]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. ACL (1) 2024: 3964-3992 - [c10]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Toru Sasaki, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. EACL (1) 2024: 1369-1407 - [c9]Jinyan Su, Sarah Dean:
Learning from Streaming Data when Users Choose. ICML 2024 - [c8]Jinyan Su, Claire Cardie, Preslav Nakov:
Adapting Fake News Detection to the Era of Large Language Models. NAACL-HLT (Findings) 2024: 1473-1490 - [c7]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection. SemEval@NAACL 2024: 2057-2079 - [d1]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Black-Box Machine-Generated Text Detection. Zenodo, 2024 - [i13]Jinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach:
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision. CoRR abs/2402.01867 (2024) - [i12]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohanned Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. CoRR abs/2402.11175 (2024) - [i11]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection. CoRR abs/2404.14183 (2024) - [i10]Jinyan Su, Sarah Dean:
Learning from Streaming Data when Users Choose. CoRR abs/2406.01481 (2024) - [i9]Jinyan Su, John X. Morris, Preslav Nakov, Claire Cardie:
Corpus Poisoning via Approximate Greedy Gradient Descent. CoRR abs/2406.05087 (2024) - 2023
- [j2]Jinyan Su, Yong Deng, Nam-Van Huynh:
Evidential global linguistic terms entropy. Soft Comput. 27(1): 227-237 (2023) - [c6]Jinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach:
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision. IEEE Big Data 2023: 875-884 - [c5]Jinyan Su, Terry Yue Zhuo, Di Wang, Preslav Nakov:
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text. EMNLP (Findings) 2023: 12395-12412 - [c4]Jinyan Su, Changhong Zhao, Di Wang:
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited. UAI 2023: 2026-2035 - [i8]Jinyan Su, Changhong Zhao, Di Wang:
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited. CoRR abs/2303.18047 (2023) - [i7]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Alham Fikri Aji, Preslav Nakov:
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. CoRR abs/2305.14902 (2023) - [i6]Jinyan Su, Terry Yue Zhuo, Di Wang, Preslav Nakov:
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text. CoRR abs/2306.05540 (2023) - [i5]Jinyan Su, Terry Yue Zhuo, Jonibek Mansurov, Di Wang, Preslav Nakov:
Fake News Detectors are Biased against Texts Generated by Large Language Models. CoRR abs/2309.08674 (2023) - [i4]Jinyan Su, Claire Cardie, Preslav Nakov:
Adapting Fake News Detection to the Era of Large Language Models. CoRR abs/2311.04917 (2023) - 2022
- [j1]Jinyan Su, Yong Deng:
An interval method to measure the uncertainty of basic probability assignment. Soft Comput. 26(13): 6041-6050 (2022) - [c3]Jinyan Su, Jinhui Xu, Di Wang:
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data. ACML 2022: 927-941 - [c2]Jinyan Su, Lijie Hu, Di Wang:
Faster Rates of Private Stochastic Convex Optimization. ALT 2022: 995-1002 - [i3]Jinyan Su, Jinhui Xu, Di Wang:
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data. CoRR abs/2209.08319 (2022) - 2021
- [i2]Jinyan Su, Di Wang:
Faster Rates of Differentially Private Stochastic Convex Optimization. CoRR abs/2108.00331 (2021) - [i1]Dong Hao, Qi Shi, Jinyan Su, Bo An:
Cooperation, Retaliation and Forgiveness in Revision Games. CoRR abs/2112.02271 (2021)
2000 – 2009
- 2005
- [c1]Yong Rui, Dinei A. F. Florêncio, Warren Lam, Jinyan Su:
Sound source localization for circular arrays of directional microphones. ICASSP (3) 2005: 93-96
Coauthor Index
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