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Bo Yuan

54 papers · 2010–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) πŸ—ΊοΈ Taxonomy Completionist (88) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (15) 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (14) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (7) ❓ The Questioner πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (247) πŸ’Ž Century Club (53) πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer

Conferences

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

Top co-authors

Miao Yin (12) Yang Sui (9) Siyu Liao (8) Jinqi Xiao (7) Huy Phan (6) Dacheng Tao (5) Xiao Zang (5) Xueqian Wang (5) Yu Gong (5) Yi Xie (5)

Research topics

Application Areas (1)

Keywords

model compression (14) adversarial attack (6) neural network (6) neural network optimization (4) generative model (4) adversarial robustness (3) convolutional neural network (3) model pruning (2) visual reinforcement learning (2) efficient computing (2) autonomous driving (2) universal approximation (2) tensor decomposition (2) feature representation (2) depth estimation (2) neural network compression (2) transformer architecture (2) vision transformer (2) data augmentation (2) adversarial learning (2)

Papers

BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model CVPR 2025
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection CVPR 2025
Proximal Sampler with Adaptive Step Size AISTATS 2025
Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning ACL 2025
STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract) AAAI 2024
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance ACL 2024
Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract) AAAI 2024
MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition EMNLP 2024
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model NIPS 2024
Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness ECCV 2024
Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation ICCV 2023
GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search NIPS 2023
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks AAAI 2023
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer AAAI 2023
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks AAAI 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework ACL 2023
Improved dimension dependence of a proximal algorithm for sampling COLT 2023
On a Class of Gibbs Sampling over Networks COLT 2023
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts CVPR 2023
Improving the Model Consistency of Decentralized Federated Learning ICML 2023
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models ICML 2023
Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning IJCAI 2022
Syntax-guided Localized Self-attention by Constituency Syntactic Distance EMNLP 2022
Text Editing as Imitation Game EMNLP 2022
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN ECCV 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning NIPS 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition AAAI 2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning IJCAI 2022
HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks CVPR 2022
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models IJCAI 2021
Boosting Offline Reinforcement Learning with Residual Generative Modeling 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
CHIP: CHannel Independence-based Pruning for Compact Neural Networks NIPS 2021
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model AAAI 2021
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? AAAI 2021
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding AAAI 2021
PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation CVPR 2020
Towards Playing Full MOBA Games with Deep Reinforcement Learning NIPS 2020
A Dual Input-aware Factorization Machine for CTR Prediction IJCAI 2020
Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos IJCAI 2020
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation IJCAI 2020
Embedding Compression with Isotropic Iterative Quantization AAAI 2020
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020
An Input-aware Factorization Machine for Sparse Prediction IJCAI 2019
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
A Hybrid Model For Grammatical Error Correction CONLL 2013
A Mixed Deterministic Model for Coreference Resolution CONLL 2012
A Cascade Method for Detecting Hedges and their Scope in Natural Language Text CONLL 2010