Xu, Qi

30 publications

TMLR 2026 Causal Decoding for Hallucination-Resistant Multimodal Large Language Models Shiwei Tan, Hengyi Wang, Weiyi Qin, Qi Xu, Zhigang Hua, Hao Wang

AAAI 2025 ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning Wenyao Ni, Jiangrong Shen, Qi Xu, Huajin Tang

AAAI 2025 BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations Yusong Wang, Xuanye Fang, Huifeng Yin, Dongyuan Li, Guoqi Li, Qi Xu, Yi Xu, Shuai Zhong, Mingkun Xu

NeurIPS 2025 E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization Wenpu Li, Bangyan Liao, Yi Zhou, Qi Xu, Pian Wan, Peidong Liu

ICML 2025 Efficient ANN-SNN Conversion with Error Compensation Learning Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan

ICML 2025 Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance Yusong Wang, Shiyin Tan, Jialun Shen, Yicheng Xu, Haobo Song, Qi Xu, Prayag Tiwari, Mingkun Xu

AAAI 2025 FSTA-SNN: Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks Kairong Yu, Tianqing Zhang, Hongwei Wang, Qi Xu

ICML 2025 Hybrid Spiking Vision Transformer for Object Detection with Event Cameras Qi Xu, Jie Deng, Jiangrong Shen, Biwu Chen, Huajin Tang, Gang Pan

ICLR 2025 Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency Jiangrong Shen, Qi Xu, Gang Pan, Badong Chen

NeurIPS 2025 MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query Wei Chow, Yuan Gao, Linfeng Li, Xian Wang, Qi Xu, Hang Song, Lingdong Kong, Ran Zhou, Yi Zeng, Yidong Cai, Botian Jiang, Shilin Xu, Jiajunzhang, Minghui Qiu, Xiangtai Li, Tianshu Yang, Siliang Tang, Juncheng Li

AAAI 2025 Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu

CVPR 2025 ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-Supervised Learning for Virtual Immunohistochemistry Staining Tong Wang, Mingkang Wang, Zhongze Wang, Hongkai Wang, Qi Xu, Fengyu Cong, Hongming Xu

NeurIPS 2025 SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment Qi Xu, Dongxu Wei, Lingzhe Zhao, Wenpu Li, Zhangchi Huang, Shunping Ji, Peidong Liu

CVPR 2025 STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks Tianqing Zhang, Kairong Yu, Xian Zhong, Hongwei Wang, Qi Xu, Qiang Zhang

ICML 2025 Self-Cross Feature Based Spiking Neural Networks for Efficient Few-Shot Learning Qi Xu, Junyang Zhu, Dongdong Zhou, Hao Chen, Yang Liu, Jiangrong Shen, Qiang Zhang

AAAI 2025 SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks Wei Miao, Jiangrong Shen, Qi Xu, Timo Hämäläinen, Yi Xu, Fengyu Cong

ICML 2025 TS-SNN: Temporal Shift Module for Spiking Neural Networks Kairong Yu, Tianqing Zhang, Qi Xu, Gang Pan, Hongwei Wang

CVPR 2025 Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks Kairong Yu, Chengting Yu, Tianqing Zhang, Xiaochen Zhao, Shu Yang, Hongwei Wang, Qiang Zhang, Qi Xu

ICLR 2024 Adaptive Deep Spiking Neural Network with Global-Local Learning via Balanced Excitatory and Inhibitory Mechanism Tingting Jiang, Qi Xu, Xuming Ran, Jiangrong Shen, Pan Lv, Qiang Zhang, Gang Pan

JMLR 2024 Differentially Private Data Release for Mixed-Type Data via Latent Factor Models Yanqing Zhang, Qi Xu, Niansheng Tang, Annie Qu

AAAI 2024 Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang

ICML 2024 Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity Based Pruning Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan

CVPR 2023 Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan

NeurIPS 2023 EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks Zihang Shao, Xuanye Fang, Yaxin Li, Chaoran Feng, Jiangrong Shen, Qi Xu

AAAI 2023 ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang

NeurIPS 2023 Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan

AAAI 2022 DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation Qi Xu, Liang Yao, Zhengkai Jiang, Guannan Jiang, Wenqing Chu, Wenhui Han, Wei Zhang, Chengjie Wang, Ying Tai

AAAI 2021 An Intelligent Assistant for Problem Behavior Management Penghe Chen, Yu Lu, Jiefei Liu, Qi Xu

ICCVW 2021 CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation Qi Xu, Yinan Ma, Jing Wu, Chengnian Long, Xiaolin Huang

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