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Bo Yuan

56 papers · 2010–2026 · 13 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Bo Yuan?

10 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Miao Yin, Yang Sui, Siyu Liao 24 papers · 2017–2025 · AAAI, CVPR, NeurIPS Hide ▲
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection CVPR 2025 TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model CVPR 2025 BitsFusion: 1.99 bits Weight Quantization of Diffusion Model NeurIPS 2024 Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness ECCV 2024 MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition EMNLP 2024 COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models ICML 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer AAAI 2023 GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search NeurIPS 2023 HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks AAAI 2023 BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition AAAI 2022 HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks CVPR 2022 RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN ECCV 2022 CHIP: CHannel Independence-based Pruning for Compact Neural Networks NeurIPS 2021 Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding AAAI 2021 Enabling Fast and Universal Audio Adversarial Attack Using Generative Model AAAI 2021 Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models IJCAI 2021 Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework CVPR 2021 Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure CVPR 2021 CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020 Embedding Compression with Isotropic Iterative Quantization AAAI 2020 CircConv: A Structured Convolution with Low Complexity AAAI 2019 Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks AAAI 2019 Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank ICML 2017
3 papers whose co-authors appear nowhere else under this name
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026 Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation ICCV 2023 RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts CVPR 2023

Venues · all papers under this name

AAAI (14) IJCAI (8) CVPR (7) ACL (5) NeurIPS (5) EMNLP (4) CoNLL (3) ICML (3) COLT (2) ECCV (2) AISTATS (1) EACL (1) ICCV (1)