pith. sign in

Yonggan Fu

Identifiers

  • name variant Yonggan Fu 0.60 · backfill

Papers (23)

  1. Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis cs.CV · 2026 · author #4
  2. $R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction cs.CL · 2026 · author #4
  3. Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning cs.LG · 2026 · author #532
  4. Fast-dVLM: Efficient Block-Diffusion VLM via Direct Conversion from Autoregressive VLM cs.CL · 2026 · author #3
  5. NVIDIA Nemotron 3: Efficient and Open Intelligence cs.CL · 2025 · author #348
  6. Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed cs.CL · 2025 · author #1
  7. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model cs.CL · 2025 · author #210
  8. Small Language Models are the Future of Agentic AI cs.AI · 2025 · author #4
  9. Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training cs.CL · 2025 · author #3
  10. Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI cs.AI · 2024 · author #6
  11. NetDistiller: Empowering Tiny Deep Learning via In-Situ Distillation cs.LG · 2023 · author #2
  12. Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning eess.AS · 2023 · author #4
  13. NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants cs.LG · 2023 · author #2
  14. Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning cs.CV · 2023 · author #3
  15. e-G2C: A 0.14-to-8.31 $\mu$J/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM eess.SP · 2022 · author #3
  16. LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference cs.LG · 2022 · author #2
  17. MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation cs.CV · 2021 · author #2
  18. RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms cs.AR · 2021 · author #3
  19. G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency cs.AR · 2021 · author #3
  20. O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed cs.LG · 2021 · author #4
  21. SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training cs.LG · 2021 · author #7
  22. SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation cs.LG · 2020 · author #6
  23. Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference cs.LG · 2020 · author #2

Mentions

  • 2401.01040 #6 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2310.19820 #2 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2306.15686 #4 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2304.12520 #3 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2306.13586 #2 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2209.04407 #3 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2203.07713 #2 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2112.11542 #2 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2101.01163 #7 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2111.02569 #3 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2109.08983 #3 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2108.07538 #4 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2005.03403 #6 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2001.00705 #2 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2606.29814 #4 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2504.13161 #3 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2604.18995 #4 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2508.14444 #210 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2512.20856 #348 · arxiv_oai · confidence 0.70 Yonggan Fu
  • 2506.02153 #4 · arxiv_oai · confidence 0.70 Yonggan Fu

Frequent Coauthors