CNShanghai Jiao Tong UniversitySchool of Integrated Circuits (Information and Electronic Engineering)
Yuzhuo Fu
教授
Works on fault-tolerant and heterogeneous architectures, with recent work on person re-identification, multimodal prompt learning and efficient medical image segmentation.
Yuzhuo Fu's lab at SJTU works on recognition, detection & segmentation, vision-language & multimodal and accelerators, chips & architecture. 39 papers since 2023, 17 at top venues, mostly AAAI and ICASSP. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 44%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 4 · collecting
- 13 papers2025 · T1 7
- 10 papers2024 · T1 2
- 10 papers2023 · T1 4
T1 venuesOtherVenues: AAAI, ICASSP, ICME, Machine Learning, ACM MM
Research focuspaper titles that use each topic's words
- Vision-language & multimodal9 papers
- Recognition, detection & segmentation8 papers
- person5 papers
- re-identification5 papers
- Accelerators, chips & architecture0 papers
Paper list
From DBLP.
20266 papers
- Findings of ACLBeyond Uniform SVD: Dual-Level Optimization across Columns and Modules for LLM Compression (opens in a new tab)
- Machine LearningDiverSeed: Integrating Active Learning for Target Domain Data Generation in Instruction Tuning (opens in a new tab)
- KDD (T1)HiParse: A Hierarchical Framework for Optimizing Web Content Extraction to Enhance LLM Pre-training Data (opens in a new tab)
- AAAI (T1)MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language Models (opens in a new tab)
- VLDB (T1)OmniTable: A Unified Wide-Table System for Petabyte-Scale LLM Data Curation and Exploration (opens in a new tab)
- AAAI (T1)Unnoticed Yet Effective: A Hybrid Physical Camouflage Framework Against DNNs and Human Perception (opens in a new tab)
202513 papers
- ICASSP (T1)A Training-Free Correlation-Weighted Model for Zero-/Few-Shot Industrial Anomaly Detection with Retrieval Augmentation (opens in a new tab)
- ICMEBridging the Gap: Balancing Human Perception and Detector Attention in Adversarial Attacks (opens in a new tab)
- ICMEEIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models (opens in a new tab)
- ICASSP (T1)Exploring Generalization Boundaries of Unsupervised Industrial Anomaly Detection Models through Attribute Perturbation (opens in a new tab)
- ICASSP (T1)GPA: Enhancing Generalizable Physical Adversarial Attacks Across Multiple Vision Tasks (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Learning Visual-Semantic Embedding for Generalizable Person Re-Identification: A Unified Perspective (opens in a new tab)
- AAAI (T1)MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios (opens in a new tab)
- ACM MMMPI-CD: Multi-Path Information Contrastive Decoding for Mitigating Hallucinations in Large Vision-Language Models (opens in a new tab)
- ICMENLOSdiffuser: Generalized Steady-State Non-Line-of-sight Imaging toward Indoor Scenarios (opens in a new tab)
- ICMEWRIASA: Enhancing Reasoning Industrial Anomaly Segmentation via Large Vision-Language Models (opens in a new tab)
- ICLR (T1)SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback (opens in a new tab)
- AAAI (T1)TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning (opens in a new tab)
202410 papers
- Machine LearningDeep multimodal representation learning for generalizable person re-identification (opens in a new tab)
- Multim. Tools Appl.Editing outdoor scenes with a large annotated synthetic dataset (opens in a new tab)
- AAAI (T1)From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis (opens in a new tab)
- ACM MMGIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction (opens in a new tab)
- ICMEiDAT: inverse Distillation Adapter-Tuning (opens in a new tab)
- AAAI (T1)LAMM: Label Alignment for Multi-Modal Prompt Learning (opens in a new tab)
- DATELearning to Floorplan like Human Experts via Reinforcement Learning (opens in a new tab)
- ICICOceanship: A Large-Scale Dataset for Underwater Audio Target Recognition (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Rethinking Person Re-Identification via Semantic-based Pretraining (opens in a new tab)
- Multim. Tools Appl.Toward an end-to-end implicit addressee modeling for dialogue disentanglement (opens in a new tab)
202310 papers
- CGIAction Recognition via Fine-Tuned CLIP Model and Temporal Transformer (opens in a new tab)
- ICASSP (T1)AV-TAD: Audio-Visual Temporal Action Detection With Transformer (opens in a new tab)
- ICASSP (T1)CC-PoseNet: Towards Human Pose Estimation in Crowded Classrooms (opens in a new tab)
- ICASSP WorkshopCluCDD: Contrastive Dialogue Disentanglement Via Clustering (opens in a new tab)
- ICMEDynaSlim: Dynamic Slimming for Vision Transformers (opens in a new tab)
- MICCAI (T1)EGE-UNet: An Efficient Group Enhanced UNet for Skin Lesion Segmentation (opens in a new tab)
- ISGT EUROPEElectric Vehicle Charging Management for Avoiding Transformer Congestion Using Policy-based Reinforcement Learning (opens in a new tab)
- Machine LearningLearning from self-discrepancy via multiple co-teaching for cross-domain person re-identification (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Less Is More: Learning from Synthetic Data with Fine-Grained Attributes for Person Re-Identification (opens in a new tab)
- ACL (T1)LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming (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
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- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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