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ORCIDJiaxi Yang
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2020 – today
- 2024
[j6]Jiaxi Yang
, Yihan Wang, Ye Yang, Kai Ding, Chongning Na, Yao Yang:
Effects of single and multiple imputation strategies on addressing over-fitting issues caused by imbalanced data from various scenarios. Appl. Intell. 54(3): 2812-2830 (2024)- [j5]Xiaochen Li, Kui Chen, Jiaxi Yang, Cheng Wang, Tao Yang, Changyong Luo, Nan Li, Zhi Liu:
TLDA: A transfer learning based dual-augmentation strategy for traditional Chinese Medicine syndrome differentiation in rare disease. Comput. Biol. Medicine 169: 107808 (2024) - [j4]Zhi Liu, Jiaxi Yang, Kui Chen, Tao Yang, Xiaochen Li, Bingjie Lu, Dianzheng Fu, Zeyu Zheng, Changyong Luo:
TCM-KDIF: An Information Interaction Framework Driven by Knowledge-Data and Its Clinical Application in Traditional Chinese Medicine. IEEE Internet Things J. 11(11): 20002-20014 (2024) - [j3]Yang Zhao, Jiaxi Yang, Wenbo Wang, Helin Yang, Dusit Niyato:
TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework. IEEE Internet Things J. 11(21): 35432-35444 (2024) - [c13]Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Ling-Hao Chen, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li:
One-Shot Learning as Instruction Data Prospector for Large Language Models. ACL (1) 2024: 4586-4601 - [c12]Lei Zhang, Yunshui Li, Ziqiang Liu, Jiaxi Yang, Junhao Liu, Longze Chen, Run Luo, Min Yang:
Marathon: A Race Through the Realm of Long Context with Large Language Models. ACL (1) 2024: 5201-5217 - [c11]Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou:
Synthesizing Text-to-SQL Data from Weak and Strong LLMs. ACL (1) 2024: 7864-7875 - [c10]Jiaxi Yang, Binyuan Hui, Min Yang, Bailin Wang, Bowen Li, Binhua Li, Fei Huang, Yongbin Li:
Iterative Forward Tuning Boosts In-Context Learning in Language Models. ACL (1) 2024: 15460-15473 - [c9]Duri Long, Jiaxi Yang, Cassandra Naomi, Brian Magerko:
Xylocode: A Novel Approach to Fostering Interest in Computer Science via an Embodied Music Simulation. CHI 2024: 666:1-666:16 - [c8]Jiaxi Yang, Sheng Cao, Cuifang Zhao, Weina Niu, Li-Chuan Tsai:
Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning. WCNC 2024: 1-6 - [i16]Lei Zhang, Yunshui Li, Jiaming Li, Xiaobo Xia, Jiaxi Yang, Run Luo, Minzheng Wang, Longze Chen, Junhao Liu, Min Yang:
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs. CoRR abs/2406.18294 (2024) - [i15]Congzhen Shi, Ryan Rezai, Jiaxi Yang, Qi Dou, Xiaoxiao Li:
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis. CoRR abs/2407.15851 (2024) - [i14]Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou:
Synthesizing Text-to-SQL Data from Weak and Strong LLMs. CoRR abs/2408.03256 (2024) - [i13]Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Kai Dang, An Yang, Rui Men, Fei Huang, Xingzhang Ren, Xuancheng Ren, Jingren Zhou, Junyang Lin:
Qwen2.5-Coder Technical Report. CoRR abs/2409.12186 (2024) - 2023
- [j2]Jiaxi Yang, Kui Chen, Kai Ding, Chongning Na, Meng Wang:
Auto Insurance Fraud Detection with Multimodal Learning. Data Intell. 5(2): 388-412 (2023) - [j1]Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang:
User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations. IEEE Trans. Knowl. Data Eng. 35(3): 3239-3252 (2023) - [c7]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:
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. NeurIPS 2023 - [i12]Jiaxi Yang, Wenglong Deng, Benlin Liu, Yangsibo Huang, Xiaoxiao Li:
Matching-based Data Valuation for Generative Model. CoRR abs/2304.10701 (2023) - [i11]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:
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. CoRR abs/2305.03111 (2023) - [i10]Jiaxi Yang, Sheng Cao, Cuifang Zhao, Weina Niu, Li-Chuan Tsai:
Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning. CoRR abs/2305.04081 (2023) - [i9]Jiaxi Yang, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li:
Iterative Forward Tuning Boosts In-context Learning in Language Models. CoRR abs/2305.13016 (2023) - [i8]Jiaxi Yang, Zihao Guo, Sheng Cao, Cuifang Zhao, Li-Chuan Tsai:
Federated Learning Incentive Mechanism under Buyers' Auction Market. CoRR abs/2309.05063 (2023) - [i7]Jiaxi Yang, Sheng Cao, Peng Xiangli, Xiong Li, Xiaosong Zhang:
Multi-dimensional Data Quick Query for Blockchain-based Federated Learning. CoRR abs/2309.15348 (2023) - [i6]Jiaxi Yang, Yang Zhao:
A Survey of Federated Unlearning: A Taxonomy, Challenges and Future Directions. CoRR abs/2310.19218 (2023) - [i5]Lei Zhang, Yunshui Li, Ziqiang Liu, Jiaxi Yang, Junhao Liu, Min Yang:
Marathon: A Race Through the Realm of Long Context with Large Language Models. CoRR abs/2312.09542 (2023) - [i4]Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li:
One Shot Learning as Instruction Data Prospector for Large Language Models. CoRR abs/2312.10302 (2023) - 2022
- [c6]Haiyang Mei, Bo Dong, Wen Dong, Jiaxi Yang, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang:
Glass Segmentation using Intensity and Spectral Polarization Cues. CVPR 2022: 12612-12621 - [c5]Jiaxi Yang, Xiang Cheng:
Public Data Assisted Differential Private Deep Learning. IJCNN 2022: 1-7 - [c4]Baoshan Sun, Jiaxi Yang:
Research on Chinese Short Text Classification Based on Prefix-vector Attention Template and Probabilistic Answer Set. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1582-1589 - [c3]Jiaxi Yang, Sheng Cao, Peng Xiangli, Xiong Li, Xiaosong Zhang:
Multi-dimensional Data Quick Query for Blockchain-Based Federated Learning. WASA (3) 2022: 529-540 - 2021
- [c2]Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang:
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. AAAI 2021: 3984-3991 - [c1]Kaizhong Jin, Xiang Cheng, Jiaxi Yang, Kaiyuan Shen:
Differentially Private Correlation Alignment for Domain Adaptation. IJCAI 2021: 3649-3655 - [i3]Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang:
User-specific Adaptive Fine-tuning for Cross-domain Recommendations. CoRR abs/2106.07864 (2021) - [i2]Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li:
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search. CoRR abs/2107.07173 (2021) - [i1]Kehan Wang, Jiaxi Yang, Hongjun Wu:
A Survey of Toxic Comment Classification Methods. CoRR abs/2112.06412 (2021)
Coauthor Index
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