Yixin Ji

45 papers A* 7A 1Misc 1Journal 24Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multi-layer Bayesian trial-and-error learning algorithm for imbalanced classification.
Eng. Appl. Artif. Intell.
Yixin Ji, Chao Jing
2026 — conf
GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection.
EACL (Volume 1: Long Papers)
Kai Yao, Zhenghan Song, Kaixin Wu, Mingjie Zhong, Danzhao Cheng, Zhaorui Tan, Yixin Ji, Penglei Gao
2026 J jnl
GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection.
CoRR
Kai Yao, Zhenghan Song, Kaixin Wu, Mingjie Zhong, Danzhao Cheng, Zhaorui Tan, Yixin Ji, Penglei Gao
2026 J jnl
Mutual learning for joint disease detection and severity prediction reveals multimodal pathogenesis for neurodegenerative disorders.
Bioinform.
Jin Zhang, Yixin Ji, Jinhua Liu, Wenrui Cui, Xiaohui Yao, Hongdong Li, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative
2025 Misc conf
Adaptive-Similarity-Based Brain Dynamic Functional Connectivity with Spatial-Temporal Attention and Domain Adaptation for Schizophrenia Diagnosis.
ICASSP
Yixin Ji, Vince D. Calhoun, Rongtao Jiang, Daoqiang Zhang, Shile Qi
2025 A* conf
Beware of Calibration Data for Pruning Large Language Models.
ICLR
Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhefeng Wang, Min Zhang
2025 — conf
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search.
NAACL (Industry Track)
Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo
2025 J jnl
DMRL: A distributed multi-agent reinforcement learning algorithm for imbalanced classification.
Knowl. Based Syst.
Yixin Ji, Chao Jing
2025 J jnl
Deep Learning-Based Single-Frame Depth Reconstruction Empowered by Indirect Mapping.
IEEE Trans. Instrum. Meas.
Yixin Ji, Longxiang Zhang, Wei Wu, Jianhua Wang
2025 — conf
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models.
ACL (1)
Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Jianke Zhu, Wei Wang
2025 J jnl
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models.
CoRR
Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Wei Wang, Jianke Zhu
2025 J jnl
Long-Interval Spatio-Temporal Graph Convolution for Brain Disease Diagnosis.
IEEE Trans. Instrum. Meas.
Shengrong Li, Qi Zhu, Donghai Guan, Bo Shen, Li Zhang, Yixin Ji, Shile Qi, Daoqiang Zhang
2025 J jnl
Multi-Modal Brain Network Fusion for Intelligent Diagnostic Devices.
IEEE Trans. Consumer Electron.
Shengrong Li, Qi Zhu, Liang Sun, Kai Ma, Yixin Ji, Shile Qi, Daoqiang Zhang
2025 J jnl
Taming the Titans: A Survey of Efficient LLM Inference Serving.
CoRR
Ranran Zhen, Juntao Li, Yixin Ji, Zhenlin Yang, Tong Liu, Qingrong Xia, Xinyu Duan, Zhe-Feng Wang, Baoxing Huai, Min Zhang
2025 J jnl
Test-time Computing: from System-1 Thinking to System-2 Thinking.
CoRR
Yixin Ji, Juntao Li, Hai Ye, Kaixin Wu, Jia Xu, Linjian Mo, Min Zhang
2025 J jnl
Think Before You Prune: Selective Self-Generated Calibration for Pruning Large Reasoning Models.
CoRR
Yang Xiang, Yixin Ji, Juntao Li, Min Zhang
2024 — conf
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.
EMNLP (Findings)
Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Kehai Chen, Min Zhang
2024 J jnl
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.
CoRR
Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Kehai Chen, Min Zhang
2024 J jnl
Beware of Calibration Data for Pruning Large Language Models.
CoRR
Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhe-Feng Wang, Min Zhang
2024 A conf
Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning.
CIKM
Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu
2024 J jnl
Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning.
CoRR
Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu
2024 J jnl
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search.
CoRR
Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo
2024 — conf
Demonstration Augmentation for Zero-shot In-context Learning.
ACL (Findings)
Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Yan Bowen, Min Zhang
2024 J jnl
Demonstration Augmentation for Zero-shot In-context Learning.
CoRR
Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Bowen Yan, Min Zhang
2024 — conf
Exploring and Mitigating Shortcut Learning for Generative Large Language Models.
LREC/COLING
Zechen Sun, Yisheng Xiao, Juntao Li, Yixin Ji, Wenliang Chen, Min Zhang
2024 — conf
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing.
EMNLP (Industry Track)
Kang Chen, Qingheng Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen
2024 J jnl
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing.
CoRR
Kang Chen, Qingheng Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen
2024 A* conf
LLMGR: Large Language Model-based Generative Retrieval in Alipay Search.
SIGIR
Wei Chen, Yixin Ji, Zeyuan Chen, Jia Xu, Zhongyi Liu
2024 J jnl
OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning.
CoRR
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
2024 — conf
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering.
EMNLP (Findings)
Yixin Ji, Kaixin Wu, Juntao Li, Wei Chen, Mingjie Zhong, Jia Xu, Min Zhang
2023 A* conf
Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering.
EMNLP
Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang
2023 — conf
Early Exit with Disentangled Representation and Equiangular Tight Frame.
ACL (Findings)
Yixin Ji, Jikai Wang, Juntao Li, Qiang Chen, Wenliang Chen, Min Zhang
2023 J jnl
Extraction and analysis of brain functional statuses for early mild cognitive impairment using variational auto-encoder.
J. Ambient Intell. Humaniz. Comput.
Zhuqing Jiao, Yixin Ji, Peng Gao, Shui-Hua Wang
2023 — conf
Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models.
EMNLP (Findings)
Yixin Ji, Jikai Wang, Juntao Li, Hai Ye, Min Zhang
2023 — conf
Isotropy-Enhanced Conditional Masked Language Models.
EMNLP (Findings)
Pei Guo, Yisheng Xiao, Juntao Li, Yixin Ji, Min Zhang
2023 J jnl
Test-Time Adaptation with Perturbation Consistency Learning.
CoRR
Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang
2021 J jnl
Dilated Convolutional Neural Network for Early Mild Cognitive Impairment Classification of Brain Functional Networks.
J. Medical Imaging Health Informatics
Zhuqing Jiao, Tingxuan Jiao, Yixin Ji, Zhengwang Xia, Yin Cao, Yu-Dong Zhang
2021 — conf
Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark.
PRCV (4)
Jingwen Ye, Yixin Ji, Jie Song, Zunlei Feng, Mingli Song
2020 A* conf
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN.
CVPR
Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song
2020 J jnl
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN.
CoRR
Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song
2019 A* conf
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.
IJCAI
Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song
2019 J jnl
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.
CoRR
Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song
2019 A* conf
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More.
CVPR
Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song
2019 J jnl
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More.
CoRR
Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song
2018 A* conf
Semantic Locality-Aware Deformable Network for Clothing Segmentation.
IJCAI
Wei Ji, Xi Li, Yueting Zhuang, Omar El Farouk Bourahla, Yixin Ji, Shihao Li, Jiabao Cui