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2020 – today
- 2024
[c16]Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Yan Bowen, Min Zhang:
Demonstration Augmentation for Zero-shot In-context Learning. ACL (Findings) 2024: 14232-14244- [c15]Hong Liu
, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu:
Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning. CIKM 2024: 4718-4725 - [c14]Zechen Sun, Yisheng Xiao, Juntao Li, Yixin Ji, Wenliang Chen, Min Zhang:
Exploring and Mitigating Shortcut Learning for Generative Large Language Models. LREC/COLING 2024: 6883-6893 - [c13]Kang Chen, Qing Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen:
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing. EMNLP (Industry Track) 2024: 697-711 - [c12]Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Kehai Chen, Min Zhang:
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization. EMNLP (Findings) 2024: 4152-4168 - [c11]Yixin Ji, Kaixin Wu, Juntao Li, Wei Chen, Mingjie Zhong, Xu Jia, Min Zhang:
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering. EMNLP (Findings) 2024: 7598-7610 - [c10]Chen Wei, Yixin Ji, Zeyuan Chen, Jia Xu, Zhongyi Liu:
LLMGR: Large Language Model-based Generative Retrieval in Alipay Search. SIGIR 2024: 2847-2851 - [i9]Dan Qiao, Yi Su, Pinzheng Wang, Jing Ye, Wenjing Xie, Yuechi Zhou, Yuyang Ding, Zecheng Tang, Jikai Wang, Yixin Ji, Yue Wang, Pei Guo, Zechen Sun, Zikang Zhang, Juntao Li, Pingfu Chao, Wenliang Chen, Guohong Fu, Guodong Zhou, Qiaoming Zhu, Min Zhang:
OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning. CoRR abs/2405.05957 (2024) - [i8]Yixin Ji, Yang Xiang, Juntao Li, Wei Chen, Zhongyi Liu, Kehai Chen, Min Zhang:
Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization. CoRR abs/2405.10616 (2024) - [i7]Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Bowen Yan, Min Zhang:
Demonstration Augmentation for Zero-shot In-context Learning. CoRR abs/2406.01224 (2024) - [i6]Kang Chen, Qingheng Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen:
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing. CoRR abs/2410.16977 (2024) - [i5]Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhe-Feng Wang, Min Zhang:
Beware of Calibration Data for Pruning Large Language Models. CoRR abs/2410.17711 (2024) - 2023
- [j2]Zhuqing Jiao, Yixin Ji, Peng Gao, Shui-Hua Wang:
Extraction and analysis of brain functional statuses for early mild cognitive impairment using variational auto-encoder. J. Ambient Intell. Humaniz. Comput. 14(5): 5439-5450 (2023) - [c9]Yixin Ji, Jikai Wang, Juntao Li, Qiang Chen, Wenliang Chen, Min Zhang:
Early Exit with Disentangled Representation and Equiangular Tight Frame. ACL (Findings) 2023: 14128-14142 - [c8]Yixin Ji, Jikai Wang, Juntao Li, Hai Ye, Min Zhang:
Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models. EMNLP (Findings) 2023: 8104-8118 - [c7]Pei Guo, Yisheng Xiao, Juntao Li, Yixin Ji, Min Zhang:
Isotropy-Enhanced Conditional Masked Language Models. EMNLP (Findings) 2023: 8278-8289 - [c6]Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang:
Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering. EMNLP 2023: 12998-13011 - [i4]Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang:
Test-Time Adaptation with Perturbation Consistency Learning. CoRR abs/2304.12764 (2023) - 2021
- [j1]Zhuqing Jiao, Tingxuan Jiao, Yixin Ji, Zhengwang Xia, Yin Cao, Yu-Dong Zhang:
Dilated Convolutional Neural Network for Early Mild Cognitive Impairment Classification of Brain Functional Networks. J. Medical Imaging Health Informatics 11(9): 2372-2382 (2021) - [c5]Jingwen Ye, Yixin Ji, Jie Song, Zunlei Feng, Mingli Song:
Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark. PRCV (4) 2021: 201-213 - 2020
- [c4]Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song:
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. CVPR 2020: 12513-12522 - [i3]Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song:
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. CoRR abs/2003.09088 (2020)
2010 – 2019
- 2019
- [c3]Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song:
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. CVPR 2019: 2829-2838 - [c2]Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song:
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. IJCAI 2019: 4128-4134 - [i2]Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song:
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. CoRR abs/1904.10167 (2019) - [i1]Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song:
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. CoRR abs/1905.11569 (2019) - 2018
- [c1]Wei Ji, Xi Li, Yueting Zhuang, Omar El Farouk Bourahla, Yixin Ji, Shihao Li, Jiabao Cui:
Semantic Locality-Aware Deformable Network for Clothing Segmentation. IJCAI 2018: 764-770
Coauthor Index
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