Chong Yu

19 papers · 2016–2025 · 7 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

🗺️ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) 🐺 Lone Wolf (3) 🤝 Dynamic Duo (12) 📈 Trend Setter ⚡ Prolific Year (6) 🗃️ Keyword Collector (86) 💎 Century Club (19)

Conferences

CVPR (6) IJCAI (4) NIPS (3) AAAI (2) ACML (2) ACL (1) ECCV (1)

Top co-authors

Tao Chen (12) Zhongxue Gan (6) Peng Ye (5) Weihao Lin (3) Shengji Tang (3) Baopu Li (2) Hancheng Ye (2) Yansong Tang (2) Jiwen Lu (2) Ting Wang (2)

Research topics

Privacy (1)

Keywords

model compression (10) knowledge distillation (6) adversarial robustness (3) neural network pruning (3) generative adversarial network (3) adversarial attack (2) neural network compression (2) model sparsity (2) neural network (2) vision transformer (2) structured sparsity (2) parameter efficiency (2) attention mechanism (1) object detection (1) adversarial learning (1) latent dirichlet allocation (1) sentiment analysis (1) semantic segmentation (1) adversarial training (1) image generation (1)

Papers

Boost Embodied AI Models with Robust Compression Boundary IJCAI 2025 Once-Tuning-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants CVPR 2025 Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning CVPR 2025 Spear: Evaluate the Adversarial Robustness of Compressed Neural Models IJCAI 2024 MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer CVPR 2024 Enhanced Sparsification via Stimulative Training ECCV 2024 Boosting Residual Networks with Group Knowledge AAAI 2024 Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024 S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning NIPS 2024 Boost Vision Transformer With GPU-Friendly Sparsity and Quantization CVPR 2023 Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization ACL 2023 Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend IJCAI 2023 Channel Permutations for N:M Sparsity NIPS 2021 Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner CVPR 2021 Self-Supervised Generative Adversarial Compression NIPS 2020 Attention Based Data Hiding with Generative Adversarial Networks AAAI 2020 Semi-supervised Three-dimensional Reconstruction Framework with GAN IJCAI 2019 Long Short-term Memory Network over Rhetorical Structure Theory for Sentence-level Sentiment Analysis ACML 2016 Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model ACML 2016