Guiguang Ding
Professor
Works on computer vision, multimedia data processing, and AI foundation models, including architecture design, model compression and acceleration, and inference engines.
Guiguang Ding's lab at Tsinghua works on efficient training & inference, generative & foundation models and accelerators, chips & architecture. 35 papers since 2023, 19 at top venues, mostly AAAI and ECCV. 7 PhD students. 75 alumni, most often to Tencent and Microsoft. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 54%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 75
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 4 · collecting
- 7 papers2025 · T1 4
- 13 papers2024 · T1 10
- 9 papers2023 · T1 1
T1 venuesOtherVenues: AAAI, ECCV, TPAMI, CVPR, IJCV
Research focuspaper titles that use each topic's words
- Efficient training & inference7 papers
- Generative & foundation models5 papers
- Accelerators, chips & architecture0 papers
- engines0 papers
- data processing0 papers
Paper list
From the lab homepage.
20266 papers
- TPAMI (T1)CAIT: Triple-Win Compression Toward High Accuracy, Fast Inference, and Favorable Transferability for ViTs
- IJCV (T1)CMPF: Harmonizing Cross-Model Prior Fusion for Open-Vocabulary Segmentation
- TPAMI (T1)Fixing Background Misclassification in Few-Shot Object Detection via Product of Experts
- TMMLLMI3D: MLLM-Based 3D Perception From a Single 2D Image
- TNNLS (T1)Motif-Based Hypergraph Representation Learning: Transductive and Inductive Inference for Gene Regulatory Networks
- Neural NetworksRepAttn3D: Re-parameterizing 3D attention with spatiotemporal augmentation for video understanding
20257 papers
- PATTERN RECOGNITION AND COMPUTER VISION, PRCV , PT XIIAD2: Anomaly Detection During Training an Distillation-Based Anomaly Detection Model
- COLING (T1)Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models
- NeurocomputingDomain knowledge boosted adaptation: Leveraging vision-language models for multi-source domain adaptation
- TPAMI (T1)Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation
- Inf. FusionMulti-source multi-modal domain adaptation
- AAAI (T1)Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
- AAAI (T1)Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal
202413 papers
- IEEE Transactions on Information Forensics and SecurityConfidence-Guided Centroids for Unsupervised Person Re-Identification
- ECAIContext Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection
- AAAI (T1)Debiased Novel Category Discovering and Localization
- AAAI (T1)Geometry-Guided Domain Generalization for Monocular 3D Object Detection
- AAMAS (T1)JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System
- ECCV (T1)Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence
- IJCV (T1)Multi-source-free Domain Adaptive Object Detection
- CVPR (T1)One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications
- ACM TUR-COpen-world Domain Adaptation and Generalization
- ECCV (T1)PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation
- ECCV (T1)Quantized Prompt for Efficient Generalization of Vision-Language Models
- CVPR (T1)Rep ViT: Revisiting Mobile CNN From ViT Perspective
20239 papers
- CVPR2023Box-Level Active Detection
- ICCV2023Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation
- ICLR2023Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
- NeurocomputingGPro3D: Deriving 3D BBox from ground plane in monocular 3D object detection
- ACM MMHierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels
- TNNLS (T1)Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN
- Pattern RecognitionMargin-aware rectified augmentation for long-tailed recognition
- ICLR2023Re-parameterizing Your Optimizers rather than Architectures
- Proceedings of the IEEEToward Label-Efficient Emotion and Sentiment Analysis
Where alumni went75 listed, 74% to industry
Industry 29Academia 10
Most often to
- Tencent
- Microsoft
- ByteDance
Also to
- Tsinghua University
- A Ph.D. candidate in Hong Kong University of Science and Thchnology
- CUHK
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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16 T1
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