Xie, Yi

22 publications

ICML 2025 A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making Yi Xie, Jaedong Hwang, Carlos D Brody, David W. Tank, Ila R Fiete

AAAI 2025 Enhancing Masked Time-Series Modeling via Dropping Patches Tianyu Qiu, Yi Xie, Hao Niu, Yun Xiong, Xiaofeng Gao

CVPR 2025 Knowledge Bridger: Towards Training-Free Missing Modality Completion Guanzhou Ke, Shengfeng He, Xiaoli Wang, Bo Wang, Guoqing Chao, Yuanyang Zhang, Yi Xie, Hexing Su

AAAI 2025 MSSDA: Multi-Sub-Source Domain Adaptation for Diabetic Foot Neuropathy Recognition Yan Zhong, Zhixin Yan, Yi Xie, Shibin Wu, Huaidong Zhang, Lin Shu, Peiru Zhou

NeurIPS 2025 MemSim: A Bayesian Simulator for Evaluating Memory of LLM-Based Personal Assistants Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen

NeurIPS 2025 Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks Yi Xie, Stefan Mihalas, Łukasz Kuśmierz

CVPR 2024 D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval Yi Xie, Yihong Lin, Wenjie Cai, Xuemiao Xu, Huaidong Zhang, Yong Du, Shengfeng He

ECCVW 2024 Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement Chuhao Zhou, Chenxi Jiang, Yi Xie, Haozhi Cao, Jianfei Yang

ICMLW 2024 Inference Performance Optimization for Large Language Models on CPUs Pujiang He, Shan Zhou, Wenhuan Huang, Changqing Li, Duyi Wang, Bin Guo, Chen Meng, Sheng Gui, Weifei Yu, Yi Xie

CVPR 2024 Mask4Align: Aligned Entity Prompting with Color Masks for Multi-Entity Localization Problems Haoquan Zhang, Ronggang Huang, Yi Xie, Huaidong Zhang

ECCV 2024 Multi-Person Pose Forecasting with Individual Interaction Perceptron and Prior Learning Peng Xiao, Yi Xie, Xuemiao Xu, Weihong Chen, Huaidong Zhang

AAAI 2024 SAME: Sample Reconstruction Against Model Extraction Attacks Yi Xie, Jie Zhang, Shiqian Zhao, Tianwei Zhang, Xiaofeng Chen

AAAI 2023 Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Boyuan Zhang

ICML 2023 Lookahead When It Matters: Adaptive Non-Causal Transformers for Streaming Neural Transducers Grant Strimel, Yi Xie, Brian John King, Martin Radfar, Ariya Rastrow, Athanasios Mouchtaris

NeurIPSW 2023 Skip Connections Increase the Capacity of Associative Memories in Variable Binding Mechanisms Yi Xie, Yichen Li, Akshay Rangamani

CVPR 2023 Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval Yi Xie, Huaidong Zhang, Xuemiao Xu, Jianqing Zhu, Shengfeng He

ECCV 2022 RIBAC: Towards Robust and Imperceptible Backdoor Attack Against Compact DNN Huy Phan, Cong Shi, Yi Xie, Tianfang Zhang, Zhuohang Li, Tianming Zhao, Jian Liu, Yan Wang, Yingying Chen, Bo Yuan

NeurIPS 2022 Real-Valued Backpropagation Is Unsuitable for Complex-Valued Neural Networks Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2021 CHIP: CHannel Independence-Based Pruning for Compact Neural Networks Yang Sui, Miao Yin, Yi Xie, Huy Phan, Saman Aliari Zonouz, Bo Yuan

AAAI 2021 Enabling Fast and Universal Audio Adversarial Attack Using Generative Model Yi Xie, Zhuohang Li, Cong Shi, Jian Liu, Yingying Chen, Bo Yuan

IJCAI 2021 Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models Xiao Zang, Yi Xie, Jie Chen, Bo Yuan

AAAI 2020 CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan