88 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Tsinghua UniversityCN13 papers
- Beijing Academy of Artificial IntelligenceCN6 papers
- Beijing Normal UniversityCN5 papers
- McGovern Institute for Brain ResearchUS5 papers
- Peking UniversityCN5 papers
- Center for Life SciencesCN4 papers
- Chinese Academy of SciencesCN3 papers
- Beihang UniversityCN2 papers
- Beijing Forestry UniversityCN2 papers
- Beijing National Research Center for Information Science and TechnologyCN2 papers
- Chinese Academy of Medical Sciences & Peking Union Medical CollegeCN2 papers
- Swansea UniversityGB2 papers
27 papers
A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis
Mingzhi Chen, Yiyu Gui, Guibo Luo +1
Brain signal analysis is essential for both neuroscience research and clinical diagnostics, yet current approaches face critical limitations. End-to-end models require task-specifi…
Multi-Feature Riemannian Hypergraph for Online Test-Time Adaptation of Motor Imagery Brain-Computer Interface
Siqi Li, Zhi Li, Tong Liu +5
In clinical motor imagery brain-computer interface (MI-BCI) decoding, cross-day transferability and online operation remain two critical challenges. Hypergraphs can improve transfe…
A Turbo-Inference Strategy for Object Detection and Instance Segmentation
Zhen Zhao, Gang Zhang, Xiaolin Hu +1
Object detection and instance segmentation tasks are closely related. Existing top-down instance segmentation methods usually follow a detect-then-segment paradigm, where an initia…
Robust Low-Rank Sparse Framework for Video-Based Affective Computing
Feng-Qi Cui, Jinyang Huang, Sirui Zhao +4
Video-based Affective Computing (VAC), vital for emotion analysis and human-computer interaction, suffers from model instability and representational degradation due to complex emo…
High-Density EEG Enables the Fastest Visual Brain-Computer Interfaces
Gege Ming, Weihua Pei, Sen Tian +3
Brain-computer interface (BCI) technology establishes a direct communication pathway between the brain and external devices. Current visual BCI systems suffer from insufficient inf…
Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
Hanlin Wu, Xufeng Duan, Zhenguang Cai
Voice-based AI development faces unique challenges in processing both linguistic and paralinguistic information. This study compares how large audio-language models (LALMs) and hum…
Language modulates vision: Evidence from neural networks and human brain-lesion models
Haoyang Chen, Bo Liu, Shuyue Wang +5
Comparing information structures in between deep neural networks (DNNs) and the human brain has become a key method for exploring their similarities and differences. Recent researc…
High SNR 3D Imaging from Millimeter-scale Thick Tissues to Cellular Dynamics via Structured Illumination Microscopy
Mengrui Wang, Manming Shu, Jiajing Yan +13
Three-dimensional (3D) fluorescence imaging provides a vital approach for study of biological tissues with intricate structures, and optical sectioning structured illumination micr…
Learning Visual Abstract Reasoning through Dual-Stream Networks
Kai Zhao, Chang Xu, Bailu Si
Visual abstract reasoning tasks present challenges for deep neural networks, exposing limitations in their capabilities. In this work, we present a neural network model that addres…
On Diversity in Discriminative Neural Networks
Brahim Oubaha, Claude Berrou, Xueyao Ji +2
Diversity is a concept of prime importance in almost all disciplines based on information processing. In telecommunications, for example, spatial, temporal, and frequency diversity…
Symmetry breaking of three self-organization rules:A general theory for the origin of complexity
Wen-Hao Wu, Ze-Zheng Li, Wen-Xu Wang
Complex spatiotemporal patterns in nature significantly challenge reductionism-based modern science. The lack of a paradigm beyond reductionism hinders our understanding of the eme…
Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network
Shuo Zhou, Junhao Luo, Yaya Jiang +3
Lateralization is a fundamental feature of the human brain, where sex differences have been observed. Conventional studies in neuroscience on sex-specific lateralization are typica…
TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion
Samuel Pegg, Kai Li, Xiaolin Hu
Audio-visual speech separation has gained significant traction in recent years due to its potential applications in various fields such as speech recognition, diarization, scene an…
General Automatic Solution Generation of Social Problems
Tong Niu, Haoyu Huang, Yu Du +3
Given the escalating intricacy and multifaceted nature of contemporary social systems, manually generating solutions to address pertinent social issues has become a formidable task…
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
Liyuan Wang, Xingxing Zhang, Qian Li +4
Continual learning aims to empower artificial intelligence (AI) with strong adaptability to the real world. For this purpose, a desirable solution should properly balance memory st…
Probabilistic Compute-in-Memory Design For Efficient Markov Chain Monte Carlo Sampling
Yihan Fu, Daijing Shi, Anjunyi Fan +4
Markov chain Monte Carlo (MCMC) is a widely used sampling method in modern artificial intelligence and probabilistic computing systems. It involves repetitive random number generat…
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness
Zhanhao Hu, Jun Zhu, Bo Zhang +1
Recent works found that deep neural networks (DNNs) can be fooled by adversarial examples, which are crafted by adding adversarial noise on clean inputs. The accuracy of DNNs on ad…
LiNbO volatile memristors for reservoir computing
Zhao Yuanxi, Duan Wenrui, Li Huanglong
In conventional digital computers, data and information are represented in binary form and encoded in the steady states of transistors. They are then processed in a quasi-static wa…
Moment-based space-variant Shack-Hartmann wavefront reconstruction
Fan Feng, Chen Liang, Dongdong Chen +9
Based on image moment theory, an approach for space-variant Shack-Hartmann wavefront reconstruction is presented in this article. The relation between the moment of a pair of subim…
Bio-realistic and versatile artificial dendrites made of anti-ambipolar transistors
Yifei Yang, Mingkun Xu, Jing Pei +4
The understanding of neural networks as neuron-synapse binaries has been the foundation of neuroscience, and therefore, the emerging neuromorphic computing technology that takes in…
Space-variant Shack-Hartmann wavefront sensing based on affine transformation estimation
Fan Feng, Chen Liang, Dongdong Chen +7
The space-variant wavefront reconstruction problem inherently exists in deep tissue imaging. In this paper,we propose a framework of Shack-Hartmann wavefront space-variant sensing…
The Winning Solution to the iFLYTEK Challenge 2021 Cultivated Land Extraction from High-Resolution Remote Sensing Image
Zhen Zhao, Yuqiu Liu, Gang Zhang +2
Extracting cultivated land accurately from high-resolution remote images is a basic task for precision agriculture. This report introduces our solution to the iFLYTEK challenge 202…
Heteroepitaxy of Large-Area, Monocrystalline Lead Halide Perovskite Films on Gallium Arsenide
Deying Kong, Yu Zhang, Dali Cheng +6
Lead halide perovskite materials have been emerging as promising candidates for high-performance optoelectronic devices. Significant efforts have sought to realize monocrystalline…
Internal reverse-biased p-n junctions: a possible origin of the high resistance in phase change superlattice
Bowen Li, Longlong Xu, Yuzheng Guo +1
Phase change superlattice is one of the emerging material technologies for ultralow-power phase change memories. However, the resistance switching mechanism of phase change superla…