Jiaxi Yang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 31

Top Topics

Database Interface

Short Text Classification

Incentive Mechanism

Top Venues

Publications

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 (2024)
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)
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 (2024)
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) (2024)
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)
Congzhen Shi, Ryan Rezai, Jiaxi Yang, Qi Dou, Xiaoxiao Li
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis. CoRR (2024)
Jiaxi Yang, Sheng Cao, Cuifang Zhao, Weina Niu, Li-Chuan Tsai
Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning. WCNC (2024)
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) (2024)
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)
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)
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 (2023)
Jiaxi Yang, Sheng Cao, Peng Xiangli, Xiong Li, Xiaosong Zhang
Multi-dimensional Data Quick Query for Blockchain-based Federated Learning. CoRR (2023)
Jiaxi Yang, Yang Zhao
A Survey of Federated Unlearning: A Taxonomy, Challenges and Future Directions. CoRR (2023)
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 (2023)
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) (2023)
Jinyang Li, Binyuan Hui, Ge Qu, Binhua Li, Jiaxi Yang, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Chenhao Ma, 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 (2023)
Jiaxi Yang, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li
Iterative Forward Tuning Boosts In-context Learning in Language Models. CoRR (2023)
Jiaxi Yang, Sheng Cao, Cuifang Zhao, Weina Niu, Li-Chuan Tsai
Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning. CoRR (2023)
Jiaxi Yang, Zihao Guo, Sheng Cao, Cuifang Zhao, Li-Chuan Tsai
Federated Learning Incentive Mechanism under Buyers' Auction Market. CoRR (2023)
Jiaxi Yang, Wenglong Deng, Benlin Liu, Yangsibo Huang, Xiaoxiao Li
Matching-based Data Valuation for Generative Model. CoRR (2023)
Jiaxi Yang, Kui Chen, Kai Ding, Chongning Na, Meng Wang
Auto Insurance Fraud Detection with Multimodal Learning. Data Intell. 5 (2) (2023)
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)
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)
Jiaxi Yang, Sheng Cao, Peng Xiangli, Xiong Li, Xiaosong Zhang
Multi-dimensional Data Quick Query for Blockchain-Based Federated Learning. WASA (3) (2022)
Jiaxi Yang, Xiang Cheng
Public Data Assisted Differential Private Deep Learning. IJCNN (2022)
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)
Kaizhong Jin, Xiang Cheng, Jiaxi Yang, Kaiyuan Shen
Differentially Private Correlation Alignment for Domain Adaptation. IJCAI (2021)
Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search. CoRR (2021)
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)
Kehan Wang, Jiaxi Yang, Hongjun Wu
A Survey of Toxic Comment Classification Methods. CoRR (2021)
Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang
User-specific Adaptive Fine-tuning for Cross-domain Recommendations. CoRR (2021)