C.-C. Jay Kuo
Distinguished Professor of Electrical Engineering and Computer Science, and holder of the Ming Hsieh Chair in Electrical and Computer Engineering
Develops green learning, an interpretable non-deep-learning approach for image and video understanding.
C.-C. Jay Kuo's lab at USC works on video understanding, trustworthy & safe ML and interpretability, evaluation & safety of LMs. 111 papers since 2023, 12 at top venues, mostly ISBI and ICIP. 18 PhD students and 3 master's students. 198 alumni, most often to Apple and Meta. Applications close .
At a glance
- papers, 2023–2026
- 29/ year
- at T1 venues
- 11%
- PhD students
- 18
- MS students
- 3
- alumni listed
- 198
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 18 papers2026 · T1 3 · collecting
- 26 papers2025 · T1 0
- 29 papers2024 · T1 2
- 38 papers2023 · T1 7
T1 venuesOtherVenues: ISBI, ICIP, ICASSP, WACV, ACL
Research focuspaper titles that use each topic's words
- Video understanding16 papers
- Interpretability, evaluation & safety of LMs7 papers
- interpretable3 papers
- understanding1 paper
- Trustworthy & safe ML0 papers
Paper list
From the lab homepage and DBLP.
202618 papers
- ACM Trans. Multim. Comput. Commun. Appl.An Integrated Dual-Motion Framework for Camouflaged Object Detection in Videos (opens in a new tab)
- —BA-GUSL: Boundary-aware green U-shaped learning for nuclei segmentation
- ISBICross-Modal Fine-Tuning of 3D Convolutional Foundation Models for ADHD Classification with Low-Rank Adaptation (opens in a new tab)
- —Cross-modal fine-tuning of foundation models for adhd classification via first low-rank adaptation
- IEEE Trans. Circuits Syst. Video Technol.Deep-JGAC: End-to-End Deep Joint Geometry and Attribute Compression for Dense Colored Point Clouds (opens in a new tab)
- WACVDescrip3D: enhancing large language model-based 3D scene understanding with object-level text descriptions (opens in a new tab)
- —Development of a lightweight machine learning model for prostate MRI image quality assessment
- ISBIEosinophil counting with green learning (opens in a new tab)
- —External validation of a lightweight machine learning model versus a deep learning model for prostate segmentation on MRI
- J. Vis. Commun. Image Represent.GIFT: A Green Image Forgery Tracker (opens in a new tab)
- IEEE Trans. Wirel. Commun.Green Learning-Based Beam Tracking for Robust and Efficient Communications in Harsh Channel Environments (opens in a new tab)
- Comput. Biol. MedicineGUSL: A novel and efficient machine learning model for prostate segmentation on MRI (opens in a new tab)
202526 papers
- —A green learning approach to image super-resolution
- ICIPA green learning approach to LDCT image restoration (opens in a new tab)
- 11A study on energy consumption in AI-driven medical image segmentation
- ICIPA transparent and lightweight tumor-aware MRI super-resolution framework to enhance prostate cancer detection (opens in a new tab)
- —A transparent and lightweight video-text retrieval method
- —An interpretable and lightweight graph-based method for image label transfer
- 27Blind video quality assessment at the edge
- IEEE J. Emerg. Sel. Topics Circuits Syst.Circuits and Systems for Green Video Communications: Fundamentals and Recent Trends (opens in a new tab)
- IEEE J. Emerg. Sel. Topics Circuits Syst.Editorial on Circuits and Systems for Green Video Communications (opens in a new tab)
- Comput. Vis. Image Underst.Efficient human-object-interaction (EHOI) detection via interaction label coding and conditional decision (opens in a new tab)
- 2, JanuaryEvent-VoxelHop: a polarity-wise successive subspace learning (SSL) algorithm for event-based object classification
- GC WorkshopsG-AMC: A green automatic modulation classification method (opens in a new tab)
202429 papers
- VTC Spring3D Positioning via Green Learning in mmWave Hybrid Beamforming Systems (opens in a new tab)
- 15-18A green learning approach to efficient image demosaicking
- ICASSP (T1)A green learning approach to spoofed speech detection (opens in a new tab)
- WACV WorkshopA lightweight generalizable evaluation and enhancement framework for generative models and generated samples (opens in a new tab)
- 15-18A statistics-based feature generation (SFG) method: theory and applications
- Expert Systems with ApplicationsAmerican Sign language fingerspelling recognition in the wild with spatio temporal feature extraction and multi-task learning (opens in a new tab)
- KDD (T1)AsyncET: Asynchronous Representation Learning for Knowledge Graph Entity Typing (opens in a new tab)
- 4998-5013Blind video quality prediction by uncovering human video perceptual representation
- PIMRCEffective and efficient beam tracking with green learning (opens in a new tab)
- 3-6Efficient feature selection for word embedding dimension reduction
- 6-10Evaluating the efficacy of angiogenesis and immune cell biomarkers in representing clear cell renal cell carcinoma tumor grade and aggressiveness
- ISBIExploring Backdoor Attacks in Off-the-Shelf Unsupervised Domain Adaptation for Securing Cardiac MRI-Based Diagnosis (opens in a new tab)
202338 papers
- APSIPA ASC’LSR++: an efficient and tiny model for image super-resolution (opens in a new tab)
- ACM Comput. Surv.A Survey on Perceptually Optimized Video Coding (opens in a new tab)
- 1, e35A tiny machine learning model for point cloud object classification
- 2952-2971An overview on generative AI at scale with edge-cloud computing
- —BPQA: a blind point cloud quality assessment method
- 4, e103Challenges and opportunities in medical artificial intelligence
- ICASSP (T1)Classification via subspace learning machine (SLM): methodology and performance evaluation (opens in a new tab)
- ACL (T1)Compounding geometric operations for knowledge graph completion (opens in a new tab)
- 96, , 103925Design of supervision-scalable learning systems: methodology and performance benchmarking
- SIPAIMDiscriminant radiomic feature selection for PD-L1 prediction in clear cell renal cell carcinoma (opens in a new tab)
- 15-18Enhancing edge intelligence with highly discriminant LNT features
- ICIPGPCGC: a green point cloud geometry coding method (opens in a new tab)
Where alumni went198 listed, 67% to industry
Industry 89Academia 44
Most often to
- Apple
- Meta
Also to
- National Yang Ming Chiao Tung University
- Institute for Infocomm Research
- National Cheng-Kung University
Apply to USCFall 2027
Computer Science PhD (Viterbi)
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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Data
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