Qi, Yu

20 publications

ICCV 2025 Bridging the Gap Between Brain and Machine in Interpreting Visual Semantics: Towards Self-Adaptive Brain-to-Text Decoding Jiaxuan Chen, Yu Qi, Yueming Wang, Gang Pan

NeurIPS 2025 CRRL: Learning Channel-Invariant Neural Representations for High-Performance Cross-Day Decoding Xianhan Tan, Binli Luo, Yu Qi, Yueming Wang

AAAI 2025 Cauchy Diffusion: A Heavy-Tailed Denoising Diffusion Probabilistic Model for Speech Synthesis Qi Lian, Yu Qi, Yueming Wang

AAAI 2025 DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise Xianhan Tan, Yu Qi, Yueming Wang

ICML 2025 Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics Puli Wang, Yu Qi, Yueming Wang, Gang Pan

ICML 2025 MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanwei Li, Yu Qi, Xinyan Chen, Liuhui Wang, Jianhan Jin, Claire Guo, Shen Yan, Bo Zhang, Chaoyou Fu, Peng Gao, Hongsheng Li

CVPR 2025 Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation Yu Qi, Yuanchen Ju, Tianming Wei, Chi Chu, Lawson L.S. Wong, Huazhe Xu

AAAI 2024 Bridging the Semantic Latent Space Between Brain and Machine: Similarity Is All You Need Jiaxuan Chen, Yu Qi, Yueming Wang, Gang Pan

CVPR 2024 Mind Artist: Creating Artistic Snapshots with Human Thought Jiaxuan Chen, Yu Qi, Yueming Wang, Gang Pan

CoRL 2024 ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter Yaoyao Qian, Xupeng Zhu, Ondrej Biza, Shuo Jiang, Linfeng Zhao, Haojie Huang, Yu Qi, Robert Platt

AAAI 2023 Exploring Stochastic Autoregressive Image Modeling for Visual Representation Yu Qi, Fan Yang, Yousong Zhu, Yufei Liu, Liwei Wu, Rui Zhao, Wei Li

AAAI 2023 Extracting Semantic-Dynamic Features for Long-Term Stable Brain Computer Interface Tao Fang, Qian Zheng, Yu Qi, Gang Pan

ICML 2023 Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues Jiaxuan Chen, Yu Qi, Gang Pan

NeurIPS 2022 Online Neural Sequence Detection with Hierarchical Dirichlet Point Process Weihan Li, Yu Qi, Gang Pan

NeurIPS 2022 Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding Xinyun Zhu, Yu Qi, Gang Pan, Yueming Wang

NeurIPS 2020 Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN Tao Fang, Yu Qi, Gang Pan

NeurIPS 2019 Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces Yu Qi, Bin Liu, Yueming Wang, Gang Pan

IJCAI 2019 Locate-Then-Detect: Real-Time Web Attack Detection via Attention-Based Deep Neural Networks Tianlong Liu, Yu Qi, Liang Shi, Jianan Yan

IJCAI 2018 CSNN: An Augmented Spiking Based Framework with Perceptron-Inception Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan

IJCAI 2018 Jointly Learning Network Connections and Link Weights in Spiking Neural Networks Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan