Semantic Locality-Aware Deformable Network for Clothing Segmentation. - Wei Ji 008; Xi Li 001; Yueting Zhuang; Omar El Farouk Bourahla; Yixin Ji; Shihao Li; Jiabao Cui (IJCAI, 2018)

Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. - Jingwen Ye; Yixin Ji; Xinchao Wang; Kairi Ou; Dapeng Tao; Mingli Song (CVPR, 2019)

Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. - Jingwen Ye; Xinchao Wang; Yixin Ji; Kairi Ou; Mingli Song (IJCAI, 2019)

Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. - Jingwen Ye; Yixin Ji; Xinchao Wang; Xin Gao; Mingli Song (CVPR, 2020)

Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark. - Jingwen Ye; Yixin Ji; Jie Song 011; Zunlei Feng; Mingli Song (PRCV (4), 2021)

Dilated Convolutional Neural Network for Early Mild Cognitive Impairment Classification of Brain Functional Networks. - Zhuqing Jiao; Tingxuan Jiao; Yixin Ji; Zhengwang Xia; Yin Cao; Yu-Dong Zhang 001 (J. Medical Imaging Health Informatics, 2021)

Early Exit with Disentangled Representation and Equiangular Tight Frame. - Yixin Ji; Jikai Wang; Juntao Li; Qiang Chen; Wenliang Chen; Min Zhang 005 (ACL (Findings), 2023)

Isotropy-Enhanced Conditional Masked Language Models. - Pei Guo; Yisheng Xiao; Juntao Li; Yixin Ji; Min Zhang 005 (EMNLP (Findings), 2023)

Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models. - Yixin Ji; Jikai Wang; Juntao Li; Hai Ye; Min Zhang 005 (EMNLP (Findings), 2023)

Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering. - Yi Su 006; Yixin Ji; Juntao Li; Hai Ye; Min Zhang 005 (EMNLP, 2023)

Test-Time Adaptation with Perturbation Consistency Learning. - Yi Su 006; Yixin Ji; Juntao Li; Hai Ye; Min Zhang 005 (CoRR, 2023)

Extraction and analysis of brain functional statuses for early mild cognitive impairment using variational auto-encoder. - Zhuqing Jiao; Yixin Ji; Peng Gao; Shui-Hua Wang (J. Ambient Intell. Humaniz. Comput., 2023)

Demonstration Augmentation for Zero-shot In-context Learning. - Yi Su 006; Yunpeng Tai; Yixin Ji; Juntao Li; Yan Bowen; Min Zhang 005 (ACL (Findings), 2024)

Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning. - Hong Liu; Saisai Gong; Yixin Ji; Kaixin Wu; Jia Xu 013; Jinjie Gu (CIKM, 2024)

Exploring and Mitigating Shortcut Learning for Generative Large Language Models. - Zechen Sun; Yisheng Xiao; Juntao Li; Yixin Ji; Wenliang Chen; Min Zhang 005 (LREC/COLING, 2024)

IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing. - Kang Chen; Qingheng Zhang; Chengbao Lian; Yixin Ji; Xuwei Liu; Shuguang Han; Guoqiang Wu; Fei Huang 002; Jufeng Chen (EMNLP (Industry Track), 2024)

Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering. - Yixin Ji; Kaixin Wu; Juntao Li; Wei Chen 158; Mingjie Zhong; Jia Xu 013; Min Zhang 005 (EMNLP (Findings), 2024)

Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization. - Yixin Ji; Yang Xiang 003; Juntao Li; Qingrong Xia; Zi Ye; Xinyu Duan; Zhefeng Wang 001; Kehai Chen; Min Zhang 005 (EMNLP (Findings), 2024)

LLMGR: Large Language Model-based Generative Retrieval in Alipay Search. - Wei Chen 158; Yixin Ji; Zeyuan Chen; Jia Xu 013; Zhongyi Liu (SIGIR, 2024)

OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning. - Dan Qiao; Yi Su 006; Pinzheng Wang; Jing Ye; Wenjing Xie; Yuechi Zhou; Yuyang Ding; Zecheng Tang; Jikai Wang; Yixin Ji; Yue Wang 039; Pei Guo; et al. (CoRR, 2024)

Demonstration Augmentation for Zero-shot In-context Learning. - Yi Su 006; Yunpeng Tai; Yixin Ji; Juntao Li; Bowen Yan; Min Zhang 005 (CoRR, 2024)

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models. - Kai Yao; Zhaorui Tan; Penglei Gao; Lichun Li; Kaixin Wu; Yinggui Wang; Yuan Zhao; Yixin Ji; Jianke Zhu; Wei Wang 002 (ACL (1), 2025)

Adaptive-Similarity-Based Brain Dynamic Functional Connectivity with Spatial-Temporal Attention and Domain Adaptation for Schizophrenia Diagnosis. - Yixin Ji; Vince D. Calhoun; Rongtao Jiang; Daoqiang Zhang; Shile Qi (ICASSP, 2025)

Beware of Calibration Data for Pruning Large Language Models. - Yixin Ji; Yang Xiang 003; Juntao Li; Qingrong Xia; Ping Li 016; Xinyu Duan; Zhefeng Wang 001; Min Zhang 005 (ICLR, 2025)

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. - Kaixin Wu; Yixin Ji; Zeyuan Chen; Qiang Wang; Cunxiang Wang; Hong Liu; Baijun Ji; Jia Xu 013; Zhongyi Liu; Jinjie Gu; Yuan Zhou; Linjian Mo (NAACL (Industry Track), 2025)

DMRL: A distributed multi-agent reinforcement learning algorithm for imbalanced classification. - Yixin Ji; Chao Jing (Knowl. Based Syst., 2025)

Deep Learning-Based Single-Frame Depth Reconstruction Empowered by Indirect Mapping. - Yixin Ji; Longxiang Zhang; Wei Wu; Jianhua Wang (IEEE Trans. Instrum. Meas., 2025)

Long-Interval Spatio-Temporal Graph Convolution for Brain Disease Diagnosis. - Shengrong Li; Qi Zhu 001; Donghai Guan; Bo Shen; Li Zhang 019; Yixin Ji; Shile Qi; Daoqiang Zhang (IEEE Trans. Instrum. Meas., 2025)

Test-time Computing: from System-1 Thinking to System-2 Thinking. - Yixin Ji; Juntao Li; Hai Ye; Kaixin Wu; Jia Xu 013; Linjian Mo; Min Zhang 005 (CoRR, 2025)

Taming the Titans: A Survey of Efficient LLM Inference Serving. - Ranran Zhen; Juntao Li; Yixin Ji; Zhenlin Yang; Tong Liu; Qingrong Xia; Xinyu Duan; Zhe-Feng Wang 001; Baoxing Huai; Min Zhang 005 (CoRR, 2025)

Multi-Modal Brain Network Fusion for Intelligent Diagnostic Devices. - Shengrong Li; Qi Zhu 001; Liang Sun 009; Kai Ma; Yixin Ji; Shile Qi; Daoqiang Zhang (IEEE Trans. Consumer Electron., 2025)