Baoliang Lu
Tenured Professor
Directs the Center for Brain-like Computing and Machine Intelligence, working on affective brain-computer interfaces and EEG-based emotion recognition.
Baoliang Lu's lab at SJTU works on computational neuroscience & cognition, neuroscience & brain-computer interfaces and affective & health speech. 71 papers since 2023, 8 at top venues, mostly ICASSP and ICONIP. Applications close .
At a glance
- papers, 2023–2026
- 19/ year
- at T1 venues
- 11%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 0 · collecting
- 25 papers2025 · T1 1
- 22 papers2024 · T1 6
- 18 papers2023 · T1 1
T1 venuesOtherVenues: ICASSP, ICONIP, ICLR, ACM MM, IJCNN
Research focuspaper titles that use each topic's words
- emotion39 papers
- Affective & health speech32 papers
- emotion recognition31 papers
- Neuroscience & brain-computer interfaces5 papers
- Computational neuroscience & cognition1 paper
Paper list
From the lab homepage.
20266 papers
- AAAI : 2218-2226A Multimodal EEG-Eye Movement Model for Automatic Depression Detection
- IEEE Trans. Affect. Comput. 17(1): 841-855Gram: A Large General EEG Model for Raw Data Classification and Restoration
- AAAI : 17589-17597MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals
- Neurocomputing 668: 132409Online learning with a hedge-based random vector functional link network using multi-forgetting factors
- IEEE J. Biomed. Health Informatics 30(2): 1115-1127Prediction Consistency and Confidence-Based Proxy Domain Construction for Privacy-Preserving in Cross-Subject EEG Classification
- IEEE Trans. Affect. Comput. 17(2): 2257-2273SEED-OLF: A Novel EEG Dataset With Olfactory Stimulation for Emotion Recognition
202525 papers
- BIBM : 4115-4120Attention-Based Graph Net with Mixture of Experts for Emotion Recognition Under Sleep Deprivation
- BIBM : 2538-2543Decoding Emotions from Missing-Channel EEG Signals via Uncertainty-Aware Modeling with Neural Processes
- IEEE Access 13: 87015-87025Document-Level Neural Machine Translation With Document Embeddings
- IEEE Trans. Neural Networks Learn. Syst. 36(10): 17751-17765EEG-Based Emotion Monitoring and Regulation System by Learning the Discriminative Brain Network Manifold
- ICCV : 18273-18283EEGMirror: Leveraging EEG Data in the Wild Via Montage-Agnostic Self-Supervision for EEG to Video Decoding
- IEEE Trans. Affect. Comput. 16(3): 1543-1556From EEG to Eye Movements: Cross-Modal Emotion Recognition Using Constrained Adversarial Network With Dual Attention
- ICASSP : 1-5Gram: A Large-Scale General EEG Model for Raw Data Classification and Restoration Tasks
- ICONIP (1) : 64-75Hierarchical Emotion Transformer for Multimodal Joint Emotion Category and Intensity Recognition
- ACM Multimedia : 5647-5656Human vs AI: How Digital Human News Anchors Affect Our Cognitive Processes?
- IEEE Trans. Affect. Comput. 16(4): 3198-3214Investigating the Effects of Sleep Conditions on Emotion Responses with EEG Signals and Eye Movements
- IEEE Trans. Affect. Comput. 16(4): 3596-3613LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-Based Emotion Recognition
- CogScimixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup
202422 papers
- ICONIPA Multi-modal Emotion Recognition Model based on Continuously Labeled EEG Signals
- EMBCA Multimodal Myanmar Emotion Dataset for Emotion Recognition
- BIBMAddressing Temporal and Auditory Factors in Meditative EEG with Self-Supervised Learning
- IEEE Trans. Syst. Man Cybern. Syst. 54(12): 7794-7808Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition
- ICASSP (T1)CEMOAE: A Dynamic Autoencoder with Masked Channel Modeling for Robust EEG-Based Emotion Recognition
- EMBCContrastive Self-supervised EEG Representation Learning for Emotion Classification
- IJCNN : 1-8.Detecting Major Depression Disorder with Multiview Eye Movement Features in a Novel Oil Painting Paradigm
- EMBCEEG Data Augmentation for Emotion Recognition Using Diffusion Model
- EMBCEEG-Based Tension Recognition Annotated with Electrodermal Activity
- NeurIPS (T1)EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
- BIBMEmotion Recognition from Eye Movements Using Multi-way Autoregressive Model
- EMBCFocused State Recognition Using EEG with Eye Movement-Assisted Annotation
202318 papers
- Proceedings of the IEEEAffective Brain–Computer Interfaces (aBCIs): A Tutorial
- IJCNNCross-Subject Decision Confidence Estimation from EEG Signals Using Spectral-Spatial-Temporal Adaptive GCN with Domain Adaptation
- ICONIPDAformer: Transformer with Domain Adversarial Adaptation for EEG-based Emotion Recognition with Live-Oil Paintings
- EMBCDeep Depression Detection with Resting-State and Cognitive-Task EEG
- ICASSP (T1)Elastic Graph Transformer Networks for EEG-based Emotion Recognition
- Proc. of IEEE NERIdentifying Artistic Expertise Difference in Emotion Recognition in Response to Oil Paintings
- Journal of Neural EngeeringIdentifying sex differences in EEG-based emotion recognition using graph convolutional network with attention mechanism
- EMBCInvestigating Emotion EEG Patterns for Depression Detection with Attentive Simple Graph Convolutional Network
- IEEE Transactions on Emerging Topics in Computational IntelligenceJGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization
- IEEE Trans. Ind. Informatics 19(7): 8104-8115Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition
- ACM MMMultimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels
- ICONIPNaturalistic Emotion Recognition Using EEG and Eye Movements
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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