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ORCIDYuan Wu 0002
Person information
- affiliation: Jilin University, School of Artificial Intelligence, Changchun, China
- affiliation (PhD 2022): Carleton University, School of Computer Science, Ottawa, ON, Canada
- affiliation (former): Lanzhou University, School of Information Science and Engineering, China
Other persons with the same name
- Yuan Wu — disambiguation page
- Yuan Wu 0001
![[0000-0001-6661-9461]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6661-9461")
— University of Macau, State Key Laboratory of Internet of Things for Smart City, Macau (and 1 more) - Yuan Wu 0003 — University of California, Division of Biomedical Informatics, San Diego, CA, USA
- Yuan Wu 0004 — Fudan University, School of Computer Science, Shanghai, China
- Yuan Wu 0005 — Waseda University, Faculty of Human Sciences, Tokorozawa, Japan
- Yuan Wu 0006 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan, China (and 1 more)
- Yuan Wu 0007 — Wuhan Textile University, School of Computer Science and Artificial Intelligence, Engineering Research Center of Hubei Province for Clothing Information, Wuhan, China (and 1 more)
- Yuan Wu 0008 — Southwest China Institute of Electronic Technology, Chengdu, China
- Yuan Wu 0009 — National Tsing Hua University, Department of Electrical Engineering, Hsinchu, Taiwan
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2020 – today
- 2025
[i24]Gengxu Li, Tingyu Xia, Yi Chang, Yuan Wu:
Length-Controlled Margin-Based Preference Optimization without Reference Model. CoRR abs/2502.14643 (2025)- 2024
- [j4]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15(3): 39:1-39:45 (2024) - [c12]Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou:
Language Models can Evaluate Themselves via Probability Discrepancy. ACL (Findings) 2024: 4889-4901 - [c11]Juntao Hu, Yuan Wu:
Regularized Conditional Alignment for Multi-Domain Text Classification. ICASSP 2024: 5645-5649 - [c10]Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu:
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli. IJCAI 2024: 6504-6512 - [c9]Yuan Wu:
Margin Discrepancy-Based Adversarial Training for Multi-Domain Text Classification. NLPCC (3) 2024: 170-182 - [i23]Yue Zhou, Chenlu Guo, Xu Wang, Yi Chang, Yuan Wu:
A Survey on Data Augmentation in Large Model Era. CoRR abs/2401.15422 (2024) - [i22]Yuan Wu:
Margin Discrepancy-based Adversarial Training for Multi-Domain Text Classification. CoRR abs/2403.00888 (2024) - [i21]Yahan Li, Yuan Wu:
Vision Transformer-based Adversarial Domain Adaptation. CoRR abs/2404.15817 (2024) - [i20]Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu:
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli. CoRR abs/2405.02814 (2024) - [i19]Juntao Hu, Yuan Wu:
You Only Need Half: Boosting Data Augmentation by Using Partial Content. CoRR abs/2405.02830 (2024) - [i18]Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou:
Language Models can Evaluate Themselves via Probability Discrepancy. CoRR abs/2405.10516 (2024) - [i17]Xu Wang, Yuan Wu:
Stochastic Adversarial Networks for Multi-Domain Text Classification. CoRR abs/2406.00044 (2024) - [i16]Yupeng Chang, Yi Chang, Yuan Wu:
Bias-Aware Low-Rank Adaptation: Mitigating Catastrophic Inheritance of Large Language Models. CoRR abs/2408.04556 (2024) - [i15]Yahan Li, Yi Wang, Yi Chang, Yuan Wu:
XTRUST: On the Multilingual Trustworthiness of Large Language Models. CoRR abs/2409.15762 (2024) - [i14]Chenlu Guo, Nuo Xu, Yi Chang, Yuan Wu:
CHBench: A Chinese Dataset for Evaluating Health in Large Language Models. CoRR abs/2409.15766 (2024) - [i13]Tingyu Xia, Bowen Yu, Kai Dang, An Yang, Yuan Wu, Yuan Tian, Yi Chang, Junyang Lin:
Rethinking Data Selection at Scale: Random Selection is Almost All You Need. CoRR abs/2410.09335 (2024) - [i12]Yahan Li, Tingyu Xia, Yi Chang, Yuan Wu:
Large Language Model Evaluation via Matrix Nuclear-Norm. CoRR abs/2410.10672 (2024) - [i11]Zhiyuan Li, Tingyu Xia, Yi Chang, Yuan Wu:
A Survey of RWKV. CoRR abs/2412.14847 (2024) - 2023
- [i10]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. CoRR abs/2307.03109 (2023) - [i9]Juntao Hu, Yuan Wu:
Regularized Conditional Alignment for Multi-Domain Text Classification. CoRR abs/2312.11572 (2023) - 2022
- [c8]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Co-Regularized Adversarial Learning for Multi-Domain Text Classification. AISTATS 2022: 6690-6701 - [c7]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Maximum Batch Frobenius Norm for Multi-Domain Text Classification. ICASSP 2022: 3763-3767 - [i8]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Co-Regularized Adversarial Learning for Multi-Domain Text Classification. CoRR abs/2201.12796 (2022) - [i7]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Maximum Batch Frobenius Norm for Multi-Domain Text Classification. CoRR abs/2202.00537 (2022) - 2021
- [c6]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification. ICASSP 2021: 7733-7737 - [c5]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation. ICCVW 2021: 132-141 - [i6]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification. CoRR abs/2102.00467 (2021) - [i5]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Conditional Adversarial Networks for Multi-Domain Text Classification. CoRR abs/2102.10176 (2021) - [i4]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation. CoRR abs/2108.06583 (2021) - 2020
- [c4]Yuan Wu, Yuhong Guo:
Dual Adversarial Co-Learning for Multi-Domain Text Classification. AAAI 2020: 6438-6445 - [c3]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Dual Mixup Regularized Learning for Adversarial Domain Adaptation. ECCV (29) 2020: 540-555 - [i3]Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Dual Mixup Regularized Learning for Adversarial Domain Adaptation. CoRR abs/2007.03141 (2020)
2010 – 2019
- 2019
- [j3]Teng Li, Lingling Li, Yuan Wu, Li Liu, Ye Liu, Aamir Khan, Ammarah Hashmi:
An Intelligent Wellness Assessment System for the Elderly Healthcare. J. Medical Imaging Health Informatics 9(8): 1725-1731 (2019) - [j2]Yuan Wu, Lingling Li, Li Liu, Ye Liu:
Nondestructive measurement of internal quality attributes of apple fruit by using NIR spectroscopy. Multim. Tools Appl. 78(4): 4179-4195 (2019) - [i2]Yuan Wu, Yuhong Guo:
Dual Adversarial Co-Learning for Multi-Domain Text Classification. CoRR abs/1909.08203 (2019) - 2018
- [j1]Yuan Wu, Li Liu, Lingling Li, Min Lu, Lian Li:
Determining senior wellness status using an intelligent system based on wireless sensor network and bioinformation. Web Intell. 16(3): 159-166 (2018) - [c2]Lingling Li, Caihong Li, Yuan Wu, Yi Yang, Yixuan Zhang, Hairui Zhang, Bin Wu, Li Liu, Rong Xie:
Spectroscopy-Based Food Internal Quality Evaluation with XGBoost Algorithm. APWeb/WAIM Workshops 2018: 56-64 - [i1]Yuan Wu, Lingling Li, Lian Li:
Chi-Square Test Neural Network: A New Binary Classifier based on Backpropagation Neural Network. CoRR abs/1809.01079 (2018) - 2017
- [c1]Yuan Wu, Li Liu, Jinlong Kang, Lingling Li, Bingqing Huang:
Measuring the Wellness Indices of the Elderly Using RFID Sensors Data in a Smart Nursing Home. APWeb/WAIM Workshops 2017: 66-73
Coauthor Index
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last updated on 2025-05-27 22:02 CEST by the dblp team
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