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Gongfan Fang

25 papers · 2019–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (35) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (11) 🀝 Dynamic Duo (24) 🧬 Topic Evolution πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (103) πŸ’Ž Century Club Β· Bronze

Venues

CVPR (8) NeurIPS (8) IJCAI (3) AAAI (2) ACL (1) ECCV (1) EMNLP (1) Interspeech (1)

Top co-authors

Xinchao Wang (24) Xinyin Ma (18) Mingli Song (6) Jie Song (4) Zigeng Chen (3) Michael Bi Mi (3) Lanfen Lin (2) Haofei Zhang (2) Weiming Lu (2) Zhenxiong Tan (2)

Research topics

Machine Learning (19) Application Areas (17) Deep Learning (15) Models (9) Artificial Intelligence (8) Core AI (8) Computer Vision (6) Architectures (6) Learning Types Β· Machine Learning (6) Optimization & Theory Β· Deep Learning (6) Learning Types Β· Deep Learning (4) Techniques (4) Generation (3) Natural Language Processing (2) Optimization & Theory Β· Machine Learning (2)

Keywords

model compression (12) knowledge distillation (10) diffusion model (4) diffusion transformer (3) image generation (3) token reduction (2) model acceleration (2) large language model (2) transfer learning (2) denoising process (2) structural pruning (2) self-supervised learning (2) large vision-language model (2) efficient inference (2) adversarial training (2) data-free learning (2) model pruning (2) data-free distillation (2) inference acceleration (2) token selection (1)

Papers

Language-guided Frequency Modulation for Large Vision-Language Models CVPR 2026 Rethinking Token Reduction for Large Vision-Language Models CVPR 2026 Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models AAAI 2026 Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient CVPR 2025 CoT-Valve: Length-Compressible Chain-of-Thought Tuning ACL 2025 Diffusion Model is Effectively Its Own Teacher CVPR 2025 PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning CVPR 2025 TinyFusion: Diffusion Transformers Learned Shallow CVPR 2025 AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising NeurIPS 2024 DeepCache: Accelerating Diffusion Models for Free CVPR 2024 Isomorphic Pruning for Vision Models ECCV 2024 Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching NeurIPS 2024 LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis Interspeech 2024 MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models NeurIPS 2024 Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising NeurIPS 2024 SlimSAM: 0.1% Data Makes Segment Anything Slim NeurIPS 2024 DepGraph: Towards Any Structural Pruning CVPR 2023 LLM-Pruner: On the Structural Pruning of Large Language Models NeurIPS 2023 Structural Pruning for Diffusion Models NeurIPS 2023 Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt IJCAI 2022 Up to 100x Faster Data-Free Knowledge Distillation AAAI 2022 Contrastive Model Invertion for Data-Free Knolwedge Distillation IJCAI 2021 Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data NeurIPS 2021 Adversarial Self-Supervised Data-Free Distillation for Text Classification EMNLP 2020 Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning IJCAI 2019