Yueming Wang
教师
Develops neural decoding methods for brain-computer interfaces, including motor decoding from neural signals.
Yueming Wang's lab at Zhejiang works on interfaces & interaction techniques and neuroscience & brain-computer interfaces. 44 papers since 2023, 14 at top venues, mostly AAAI and ICRA. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 32%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 9 papers2026 · T1 4 · collecting
- 16 papers2025 · T1 7
- 13 papers2024 · T1 2
- 6 papers2023 · T1 1
T1 venuesOtherVenues: AAAI, ICRA, ACL, CVPR, Findings of EMNLP
Research focuspaper titles that use each topic's words
- Neuroscience & brain-computer interfaces19 papers
- decoding11 papers
- Interfaces & interaction techniques5 papers
- neural decoding4 papers
- motor4 papers
Paper list
From DBLP.
20269 papers
- CICCA 310μW Dynamic Ensemble Bayesian Filter Based ASIC with 94.2% Decoding Accuracy for Chinese Handwriting Trajectory Reconstruction (opens in a new tab)
- ICRA (T1)A Cyclic Adaptation-Generalization Framework with Uncertainty-Guided Self-Paced Learning for Long-Term Brain-Machine Interfaces (opens in a new tab)
- IEEE Trans. Biomed. Eng.Brain Connectivity Mediates Heartbeat-Evoked Potential Alterations Between Children With ADHD and Comorbid ADHD-ASD (opens in a new tab)
- ACL (T1)From Synthesis to Clinical Assistance: A Strategy-Aware Agent Framework for Autism Intervention based on Real Clinical Dataset (opens in a new tab)
- IEEE Trans. Cogn. Dev. Syst.Improving Motor Imagery Decoding in Elderly by Combining Cross-Population Model With Tactile-Induced Sensorimotor Rhythm (opens in a new tab)
- IEEE Trans. Cogn. Dev. Syst.Low-Dimensional Matrix Discriminant Analysis of EEG Network Connectivity on Riemannian Manifolds for Emotion Recognition (opens in a new tab)
- ICLR (T1)Reducing Semantic Mismatch in Brain-to-Text Decoding Through Personalized Multimodal Masking (opens in a new tab)
- ICRA (T1)Self-Supervised Consistency Enhanced Disentangled Learning for Neural Decoding Generalization in Brain-Machine Interfaces (opens in a new tab)
- IEEE Trans. Cogn. Dev. Syst.State-Dependent Neural Decoding of Complex Handwriting via Mixture of Experts With Recurrent Routing (opens in a new tab)
202516 papers
- IEEE Trans. Biomed. Eng.A Closed-Loop Tactile Stimulation Training Protocol for Motor Imagery-Based BCI: Boosting BCI Performance for BCI-Deficiency Users (opens in a new tab)
- IEEE J. Biomed. Health InformaticsA Habenula Neural Biomarker Simultaneously Tracks Weekly and Daily Symptom Variations During Deep Brain Stimulation Therapy for Depression (opens in a new tab)
- IJCNNASD-Chat: An Innovative Dialogue Intervention System for Children with Autism based on LLM and VB-MAPP (opens in a new tab)
- Findings of EMNLPASD-iLLM:An Intervention Large Language Model for Autistic Children based on Real Clinical Dialogue Intervention Dataset (opens in a new tab)
- ICCV (T1)Bridging the Gap Between Brain and Machine in Interpreting Visual Semantics: Towards Self-Adaptive Brain-to-Text Decoding (opens in a new tab)
- AAAI (T1)Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis (opens in a new tab)
- BIBMComplementary-Disentangled Neural Generalization: a Robust Framework for Stable Brain-Computer Interfaces (opens in a new tab)
- NeurIPS (T1)CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding (opens in a new tab)
- AAAI (T1)DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise (opens in a new tab)
- IEEE J. Biomed. Health InformaticsDynamic Instance-Level Graph Learning Network of Intracranial Electroencephalography Signals for Epileptic Seizure Prediction (opens in a new tab)
- ICML (T1)Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics (opens in a new tab)
- CogSciImproving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity (opens in a new tab)
202413 papers
- BioCASA 64-channel Fully Implantable Brain-computer Microsystem with Custom Microelectrode Array (opens in a new tab)
- BioCASA High-Precision Implantable Neuromodulation Device for Closed-Loop Deep Brain Stimulation (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training (opens in a new tab)
- AAAI (T1)Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need (opens in a new tab)
- IEEE Trans. Cogn. Dev. Syst.Decoding Joint-Level Hand Movements With Intracortical Neural Signals in a Human Brain-Computer Interface (opens in a new tab)
- IEEE Trans. Biomed. Eng.Efficient Estimation of Directed Connectivity in Nonlinear and Nonstationary Spiking Neuron Networks (opens in a new tab)
- EMBCEnhanced BCI Performance using Diffusion Model for EEG Generation (opens in a new tab)
- BioCASFully autonomous cognitive behavioral training for free moving mouse in home-cage (opens in a new tab)
- IEEE Trans. Emerg. Top. Comput. Intell.Learning the Color Space for Effective Fabric Defect Detection (opens in a new tab)
- CVPR (T1)Mind Artist: Creating Artistic Snapshots with Human Thought (opens in a new tab)
- BioCASNeuromorphic model-based neural decoders for brain-computer interfaces: a comparative study (opens in a new tab)
- BioCASNonlinear Modeling and Precision Analysis of Neural Recording System in Simulink (opens in a new tab)
20236 papers
- IEEE Trans. Cogn. Dev. Syst.Convolutional Multiple Instance Learning for Sleep Spindle Detection With Label Refinement (opens in a new tab)
- NeuroImageDesign and application of a multimodality-compatible 1Tx/6Rx RF coil for monkey brain MRI at 7T (opens in a new tab)
- AAAI (T1)ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks (opens in a new tab)
- IEEE Trans. Instrum. Meas.MTHM: Self-Supervised Multitask Anomaly Detection With Hard Example Mining (opens in a new tab)
- IEEE Trans. Biomed. Eng.Tactile Sensation Assisted Motor Imagery Training for Enhanced BCI Performance: A Randomized Controlled Study (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
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