Bo Yuan

BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026 PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models ACL 2026 MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models ACL 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 Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning ACL 2025 Proximal Sampler with Adaptive Step Size AISTATS 2025 Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness ECCV 2024 Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance ACL 2024 MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition EMNLP 2024 Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract) AAAI 2024 BitsFusion: 1.99 bits Weight Quantization of Diffusion Model NIPS 2024 STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract) AAAI 2024 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 COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models ICML 2023 GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search NIPS 2023 Improving the Model Consistency of Decentralized Federated Learning ICML 2023 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 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 RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN ECCV 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning NIPS 2022 BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition AAAI 2022 HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks CVPR 2022 Text Editing as Imitation Game EMNLP 2022 Syntax-guided Localized Self-attention by Constituency Syntactic Distance EMNLP 2022 RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022 Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning IJCAI 2022 Penalized Proximal Policy Optimization for Safe Reinforcement Learning IJCAI 2022 Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework CVPR 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 Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 CHIP: CHannel Independence-based Pruning for Compact Neural Networks NIPS 2021 Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure CVPR 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 CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning NIPS 2020 Embedding Compression with Isotropic Iterative Quantization AAAI 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 A Dual Input-aware Factorization Machine for CTR Prediction IJCAI 2020 PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation CVPR 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