Measuring the Wellness Indices of the Elderly Using RFID Sensors Data in a Smart Nursing Home. - Yuan Wu 002; Li Liu 001; Jinlong Kang; Lingling Li; Bingqing Huang (APWeb/WAIM Workshops, 2017)

Spectroscopy-Based Food Internal Quality Evaluation with XGBoost Algorithm. - Lingling Li; Caihong Li; Yuan Wu 002; Yi Yang 017; Yixuan Zhang; Hairui Zhang; Bin Wu; Li Liu 001; Rong Xie (APWeb/WAIM Workshops, 2018)

Chi-Square Test Neural Network: A New Binary Classifier based on Backpropagation Neural Network. - Yuan Wu 002; Lingling Li; Lian Li 003 (CoRR, 2018)

Determining senior wellness status using an intelligent system based on wireless sensor network and bioinformation. - Yuan Wu 002; Li Liu 001; Lingling Li; Min Lu; Lian Li 003 (Web Intell., 2018)

An Intelligent Wellness Assessment System for the Elderly Healthcare. - Teng Li; Lingling Li; Yuan Wu 002; Li Liu 001; Ye Liu 002; Aamir Khan; Ammarah Hashmi (J. Medical Imaging Health Informatics, 2019)

Nondestructive measurement of internal quality attributes of apple fruit by using NIR spectroscopy. - Yuan Wu 002; Lingling Li; Li Liu 001; Ye Liu 002 (Multim. Tools Appl., 2019)

Dual Adversarial Co-Learning for Multi-Domain Text Classification. - Yuan Wu 002; Yuhong Guo (AAAI, 2020)

Dual Mixup Regularized Learning for Adversarial Domain Adaptation. - Yuan Wu 002; Diana Inkpen; Ahmed El-Roby (ECCV (29), 2020)

Mixup Regularized Adversarial Networks for Multi-Domain Text Classification. - Yuan Wu 002; Diana Inkpen; Ahmed El-Roby (ICASSP, 2021)

Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation. - Yuan Wu 002; Diana Inkpen; Ahmed El-Roby (ICCVW, 2021)

Conditional Adversarial Networks for Multi-Domain Text Classification. - Yuan Wu 002; Diana Inkpen; Ahmed El-Roby (CoRR, 2021)

Co-Regularized Adversarial Learning for Multi-Domain Text Classification. - Yuan Wu 002; Diana Inkpen; Ahmed El-Roby (AISTATS, 2022)

Maximum Batch Frobenius Norm for Multi-Domain Text Classification. - Yuan Wu 002; Diana Inkpen; Ahmed El-Roby (ICASSP, 2022)

Language Models can Evaluate Themselves via Probability Discrepancy. - Tingyu Xia; Bowen Yu 002; Yuan Wu 002; Yi Chang 001; Chang Zhou (ACL (Findings), 2024)

Regularized Conditional Alignment for Multi-Domain Text Classification. - Juntao Hu; Yuan Wu 002 (ICASSP, 2024)

NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli. - Xu Wang; Cheng Li; Yi Chang 001; Jindong Wang 001; Yuan Wu 002 (IJCAI, 2024)

Margin Discrepancy-Based Adversarial Training for Multi-Domain Text Classification. - Yuan Wu 002 (NLPCC (3), 2024)

A Survey on Data Augmentation in Large Model Era. - Yue Zhou; Chenlu Guo; Xu Wang; Yi Chang 001; Yuan Wu 002 (CoRR, 2024)

Vision Transformer-based Adversarial Domain Adaptation. - Yahan Li; Yuan Wu 002 (CoRR, 2024)

You Only Need Half: Boosting Data Augmentation by Using Partial Content. - Juntao Hu; Yuan Wu 002 (CoRR, 2024)

Stochastic Adversarial Networks for Multi-Domain Text Classification. - Xu Wang; Yuan Wu 002 (CoRR, 2024)

Bias-Aware Low-Rank Adaptation: Mitigating Catastrophic Inheritance of Large Language Models. - Yupeng Chang; Yi Chang 001; Yuan Wu 002 (CoRR, 2024)

XTRUST: On the Multilingual Trustworthiness of Large Language Models. - Yahan Li; Yi Wang; Yi Chang 001; Yuan Wu 002 (CoRR, 2024)

CHBench: A Chinese Dataset for Evaluating Health in Large Language Models. - Chenlu Guo; Nuo Xu; Yi Chang 001; Yuan Wu 002 (CoRR, 2024)

Rethinking Data Selection at Scale: Random Selection is Almost All You Need. - Tingyu Xia; Bowen Yu 002; Kai Dang; An Yang; Yuan Wu 002; Yuan Tian 016; Yi Chang 001; Junyang Lin (CoRR, 2024)

Large Language Model Evaluation via Matrix Nuclear-Norm. - Yahan Li; Tingyu Xia; Yi Chang 001; Yuan Wu 002 (CoRR, 2024)

A Survey on Evaluation of Large Language Models. - Yupeng Chang; Xu Wang; Jindong Wang 001; Yuan Wu 002; Linyi Yang; Kaijie Zhu; Hao Chen 102; Xiaoyuan Yi; Cunxiang Wang; Yidong Wang; Wei Ye 004; Yue Zhang 004; et al. (ACM Trans. Intell. Syst. Technol., 2024)

A survey of RWKV. - Zhiyuan Li; Tingyu Xia; Yi Chang 001; Yuan Wu 002 (Neurocomputing, 2025)

Selective fine-tuning for large language models via matrix nuclear norm. - Tingyu Xia; Yahan Li; Yuan Wu 002; Yi Chang 001 (Inf. Process. Manag., 2025)

Length-Controlled Margin-Based Preference Optimization without Reference Model. - Gengxu Li; Tingyu Xia; Yi Chang 001; Yuan Wu 002 (CoRR, 2025)

THINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models. - Zhiyuan Li; Yi Chang 001; Yuan Wu 002 (CoRR, 2025)