Scholar
Tianyu Ding, Ph.D.
Google Scholar ID: Qi7zTOcAAAAJ
Principal Researcher, Microsoft | Johns Hopkins University
Citations & Impact
Citations
1,302
H-index
15
i10-index
20
Publications
20
Co-authors
44
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning, ACL 2025
- DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs, ICML 2025 (Oral, top 1%)
- ONNXPruner: ONNX-Based General Model Pruning Adapter, TPAMI 2025
- Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration, CVPR 2025
- Automated Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression, CVPR 2025
- OFER: Occluded Face Expression Reconstruction, CVPR 2025
- 3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities, TCSVT 2025
- StructSR: Refuse Spurious Details in Real-World Image Super-Resolution, AAAI 2025
- CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering, ECCV 2024
- Safe and Robust Subgame Exploitation in Imperfect Information Games, ICML 2024
Research Experience
- Principal Researcher in Applied Sciences Group at Microsoft.
Background
- Currently a Principal Researcher in Applied Sciences Group at Microsoft. Focused on improving efficiency in machine learning and artificial intelligence, especially in areas like computer vision and generative models.
Miscellany
- Appreciates Anyverse Anonymous Feedback from anyone on anything. Feel free to ping me!
