Liqing Zhang
Tenured Professor
Works on brain-inspired cognitive computing, machine learning and statistical inference, and brain signal processing.
Liqing Zhang's lab at SJTU works on computational neuroscience & cognition, learning theory & optimization and efficient training & inference. 42 papers since 2023, 26 at top venues, mostly AAAI and ACM MM. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 62%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 8 papers2026 · T1 6 · collecting
- 8 papers2025 · T1 3
- 10 papers2024 · T1 8
- 16 papers2023 · T1 9
T1 venuesOtherVenues: AAAI, ACM MM, CVPR, ICCV, ICLR
Research focuspaper titles that use each topic's words
- Learning theory & optimization4 papers
- Efficient training & inference1 paper
- Computational neuroscience & cognition0 papers
- statistical inference0 papers
- brain-inspired0 papers
Paper list
From DBLP.
20268 papers
- CVPR (T1)AVGGT: Rethinking Global Attention for Accelerating VGGT (opens in a new tab)
- ICMRBeyond Semantic Understanding: Physics-Informed Adaptation of Video Foundation Models for Precision Industrial Metrology (opens in a new tab)
- ICLR (T1)FakeXplain: AI-Generated Image Detection via Human-Aligned Grounded Reasoning (opens in a new tab)
- AAAI (T1)High-Quality Full-Head 3D Avatar Generation from Any Single Portrait Image (opens in a new tab)
- ICMRHM-NVS: Hierarchical Multi-Modal Novel View Synthesis with Uncertainty-Aware Progressive Refinement (opens in a new tab)
- CVPR (T1)Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images (opens in a new tab)
- ECCV (T1)LoRC: Detecting AI-Generated Images via Low-Rank Collapse in Semantic Residuals (opens in a new tab)
- TPAMI (T1)Parse, Align and Aggregate: Graph-Driven Compositional Reasoning for Video Question Answering (opens in a new tab)
20258 papers
- Pattern RecognitionDefending adversarial attacks in Graph Neural Networks via tensor enhancement (opens in a new tab)
- ICML (T1)Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering (opens in a new tab)
- CSCWDHyperspectral Image Classification Based on Local Low-Rank Representation (opens in a new tab)
- PRCVID-MotionNet: Identity-Preserved 3D Skeleton Sequence Generation via Information Bottleneck Disentanglement (opens in a new tab)
- ICLR (T1)Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities (opens in a new tab)
- ICLR (T1)Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance (opens in a new tab)
- ACM MMTowards Explainable Fake Image Detection with Multi-Modal Large Language Models (opens in a new tab)
- IJCBWarp Gait Across Ages: Cross-age Gait Video Translation with Part-aware Flow Warping (opens in a new tab)
202410 papers
- CVPR (T1)Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering (opens in a new tab)
- CIKM (T1)Assessing Image Inpainting via Re-Inpainting Self-Consistency Evaluation (opens in a new tab)
- ECCV (T1)COIN-Matting: Confounder Intervention for Image Matting (opens in a new tab)
- NeurIPS (T1)DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning (opens in a new tab)
- ICASSP (T1)Hierarchical Attacks on Large-Scale Graph Neural Networks (opens in a new tab)
- Neural Process. Lett.Multi-Model UNet: An Adversarial Defense Mechanism for Robust Visual Tracking (opens in a new tab)
- AAAI (T1)Painterly Image Harmonization by Learning from Painterly Objects (opens in a new tab)
- WACVPainterly Image Harmonization via Adversarial Residual Learning (opens in a new tab)
- AAAI (T1)Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles (opens in a new tab)
- AAAI (T1)WeditGAN: Few-Shot Image Generation via Latent Space Relocation (opens in a new tab)
202316 papers
- AAAI (T1)Amodal Instance Segmentation via Prior-Guided Expansion (opens in a new tab)
- ACM MMDeep Image Harmonization in Dual Color Spaces (opens in a new tab)
- ICCV (T1)Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation (opens in a new tab)
- ICCV (T1)Deep Image Harmonization with Learnable Augmentation (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Delinquent Events Prediction in Temporal Networked-Guarantee Loans (opens in a new tab)
- Pattern RecognitionDiverse image inpainting with disentangled uncertainty (opens in a new tab)
- AAAI (T1)Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation (opens in a new tab)
- ICCV (T1)Fine-grained Visible Watermark Removal (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.From Pixel to Patch: Synthesize Context-Aware Features for Zero-Shot Semantic Segmentation (opens in a new tab)
- AAAI (T1)Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations (opens in a new tab)
- CVPR (T1)Image Cropping with Spatial-aware Feature and Rank Consistency (opens in a new tab)
- AAAI (T1)Isometric Manifold Learning Using Hierarchical Flow (opens in a new tab)
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.
Similar labsnearest by research summary
- USNYU
Carlos Fernandez-Granda
- Signal processing & information theory
- CNZhejiang
Lu Chen
- Graph mining & networks
- USMichigan
Danai Koutra
- Graph mining & networks
- USNYU
Qiaoyu Tan
- Graph mining & networks
- USUIUC
Ning Luo
- Trustworthy & safe ML
- USStanford
Tsachy Weissman
- Learning theory & optimization
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
SJTUcloses