Mingqing Xiao - RankMe

29 papers A* 6Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks. CoRR Qingyan Meng, Mingqing Xiao, Zhengyu Ma, Huihui Zhou, Yonghong Tian, Zhouchen Lin
2025	J	`jnl`	Language Ranker: A Lightweight Ranking framework for LLM Decoding. CoRR Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin
2024	J	`jnl`	Cross-patient automatic epileptic seizure detection using patient-adversarial neural networks with spatio-temporal EEG augmentation. Biomed. Signal Process. Control. Zongpeng Zhang, Taoyun Ji, Mingqing Xiao, Wen Wang, Guojing Yu, Tong Lin, Yuwu Jiang, Xiaohua Zhou, Zhouchen Lin
2024	J	`jnl`	Designing Universally-Approximating Deep Neural Networks: A First-Order Optimization Approach. IEEE Trans. Pattern Anal. Mach. Intell. Zhoutong Wu, Mingqing Xiao, Cong Fang, Zhouchen Lin
2024	A*	`conf`	Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. ICLR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
2024	J	`jnl`	Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. CoRR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
2024	J	`jnl`	Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks. CoRR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
2024	J	`jnl`	Sampling complex topology structures for spiking neural networks. Neural Networks Shen Yan, Qingyan Meng, Mingqing Xiao, Yisen Wang, Zhouchen Lin
2024	A*	`conf`	Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning. ICML Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin
2024	J	`jnl`	Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning. CoRR Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin
2023	J	`jnl`	Invertible Rescaling Network and Its Extensions. Int. J. Comput. Vis. Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
2023	J	`jnl`	SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks. CoRR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
2023	J	`jnl`	SPIDE: A purely spike-based method for training feedback spiking neural networks. Neural Networks Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
2023	A*	`conf`	Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. ICCV Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
2023	J	`jnl`	Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. CoRR Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
2022	J	`jnl`	Invertible Rescaling Network and Its Extensions. CoRR Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
2022	A*	`conf`	Online Training Through Time for Spiking Neural Networks. NeurIPS Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
2022	J	`jnl`	Online Training Through Time for Spiking Neural Networks. CoRR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
2022	A*	`conf`	Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. CVPR Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
2022	J	`jnl`	Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. CoRR Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
2022	J	`jnl`	Training Neural Networks by Lifted Proximal Operator Machines. IEEE Trans. Pattern Anal. Mach. Intell. Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, Zhouchen Lin
2022	J	`jnl`	Training much deeper spiking neural networks with a small number of time-steps. Neural Networks Qingyan Meng, Shen Yan, Mingqing Xiao, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
2021	A*	`conf`	Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. NeurIPS Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
2021	J	`jnl`	Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. CoRR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
2020	—	`conf`	Invertible Image Rescaling. ECCV (1) Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
2020	J	`jnl`	Invertible Image Rescaling. CoRR Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
2020	J	`jnl`	Modeling Lost Information in Lossy Image Compression. CoRR Yaolong Wang, Mingqing Xiao, Chang Liu, Shuxin Zheng, Tie-Yan Liu
2020	—	`conf`	TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion. ECCV Workshops (2) Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille
2019	J	`jnl`	TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion. CoRR Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille