Jiaxi Yang

According to our database, Jiaxi Yang authored at least 21 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TLDA: A transfer learning based dual-augmentation strategy for traditional Chinese Medicine syndrome differentiation in rare disease.

Xiaochen Li, Kui Chen, Jiaxi Yang, Cheng Wang, Tao Yang, Changyong Luo, Nan Li, Zhi Liu

Comput. Biol. Medicine, February, 2024

Effects of single and multiple imputation strategies on addressing over-fitting issues caused by imbalanced data from various scenarios.

Jiaxi Yang, Yihan Wang, Ye Yang, Kai Ding, Chongning Na, Yao Yang

Appl. Intell., February, 2024

2023

User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations.

Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang

IEEE Trans. Knowl. Data Eng., March, 2023

Auto Insurance Fraud Detection with Multimodal Learning.

Jiaxi Yang, Kui Chen, Kai Ding, Chongning Na, Meng Wang

Data Intell., 2023

One Shot Learning as Instruction Data Prospector for Large Language Models.

Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li

CoRR, 2023

Marathon: A Race Through the Realm of Long Context with Large Language Models.

Lei Zhang, Yunshui Li, Ziqiang Liu, Jiaxi Yang, Junhao Liu, Min Yang

CoRR, 2023

A Survey of Federated Unlearning: A Taxonomy, Challenges and Future Directions.

Jiaxi Yang, Yang Zhao

CoRR, 2023

Federated Learning Incentive Mechanism under Buyers' Auction Market.

Jiaxi Yang, Zihao Guo, Sheng Cao, Cuifang Zhao, Li-Chuan Tsai

CoRR, 2023

Iterative Forward Tuning Boosts In-context Learning in Language Models.

Jiaxi Yang, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li

CoRR, 2023

Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning.

Jiaxi Yang, Sheng Cao, Cuifang Zhao, Weina Niu, Li-Chuan Tsai

CoRR, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.

Jinyang Li, Binyuan Hui, Ge Qu, Binhua Li, Jiaxi Yang, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li

CoRR, 2023

Matching-based Data Valuation for Generative Model.

Jiaxi Yang, Wenglong Deng, Benlin Liu, Yangsibo Huang, Xiaoxiao Li

CoRR, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.

Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Multi-dimensional Data Quick Query for Blockchain-Based Federated Learning.

Jiaxi Yang, Sheng Cao, Peng Xiangli, Xiong Li, Xiaosong Zhang

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Research on Chinese Short Text Classification Based on Prefix-vector Attention Template and Probabilistic Answer Set.

Baoshan Sun, Jiaxi Yang

Proceedings of the IEEE Smartworld, 2022

Public Data Assisted Differential Private Deep Learning.

Jiaxi Yang, Xiang Cheng

Proceedings of the International Joint Conference on Neural Networks, 2022

Glass Segmentation using Intensity and Spectral Polarization Cues.

Haiyang Mei, Bo Dong, Wen Dong, Jiaxi Yang, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Survey of Toxic Comment Classification Methods.

Kehan Wang, Jiaxi Yang, Hongjun Wu

CoRR, 2021

Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search.

Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li

CoRR, 2021

Differentially Private Correlation Alignment for Domain Adaptation.

Kaizhong Jin, Xiang Cheng, Jiaxi Yang, Kaiyuan Shen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models.

Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021