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Yuan 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
— 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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