Yuan, Bo

54 publications

CVPR 2025 COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan

TMLR 2025 Client-Only Distributed Markov Chain Monte Carlo Sampling over a Network Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen

TMLR 2025 DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models Yang Sui, Huy Phan, Jinqi Xiao, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan

ICLRW 2025 Implicit Bayesian Markov Decision Process for Resource-Efficient Experimental Design in Drug Discovery Tianchi Chen, Jan Bíma, Sean L. Wu, Otto Ritter, Bo Yuan, Bingjia Yang, Xiang Yu

IJCAI 2025 Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract) Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu

AISTATS 2025 Proximal Sampler with Adaptive Step Size Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen

CVPR 2025 TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan

MLJ 2025 When Interpretability Meets Noise: An LLM-Assisted Hybrid Deep Logical Rule Learning Framework Yulin Chen, Bo Yuan, Chen Chen, Zhaoqun Li, Beishui Liao

NeurIPS 2024 BitsFusion: 1.99 Bits Weight Quantization of Diffusion Model Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, Jian Ren

ECCV 2024 Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness Huy Phan, Jinqi Xiao, Yang Sui, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan

AAAI 2024 Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract) Zhuo Chen, Haimei Zhao, Chaoyue Wang, Bo Yuan, Xiu Li

AAAI 2024 STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract) Zhuo Chen, Haimei Zhao, Bo Yuan, Xiu Li

CVPRW 2023 Accelerable Lottery Tickets with the Mixed-Precision Quantization Zhangheng Li, Yu Gong, Zhenyu Zhang, Xingyun Xue, Tianlong Chen, Yi Liang, Bo Yuan, Zhangyang Wang

ICML 2023 COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan

AAAI 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman A. Zonouz

TMLR 2023 Dynamics Adapted Imitation Learning Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao

AAAI 2023 Evaluating Model-Free Reinforcement Learning Toward Safety-Critical Tasks Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao

AAAI 2023 GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan

NeurIPS 2023 GraphMP: Graph Neural Network-Based Motion Planning with Efficient Graph Search Xiao Zang, Miao Yin, Jinqi Xiao, Saman Zonouz, Bo Yuan

AAAI 2023 HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan

ICCV 2023 Hierarchical Point-Based Active Learning for Semi-Supervised Point Cloud Semantic Segmentation Zongyi Xu, Bo Yuan, Shanshan Zhao, Qianni Zhang, Xinbo Gao

COLT 2023 Improved Dimension Dependence of a Proximal Algorithm for Sampling Jiaojiao Fan, Bo Yuan, Yongxin Chen

ICML 2023 Improving the Model Consistency of Decentralized Federated Learning Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao

COLT 2023 On a Class of Gibbs Sampling over Networks Bo Yuan, Jiaojiao Fan, Jiaming Liang, Andre Wibisono, Yongxin Chen

CVPR 2023 RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation with Natural Prompts Han Liu, Yuhao Wu, Shixuan Zhai, Bo Yuan, Ning Zhang

TMLR 2023 Replay-Enhanced Continual Reinforcement Learning Tiantian Zhang, Kevin Zehua Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye

ICLRW 2023 SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning Qin Zhang, Linrui Zhang, Li Shen, Haoran Xu, Bowen Wang, Bo Yuan, Yongzhe Chang, Xueqian Wang

NeurIPSW 2022 An Empirical Study of ML-Based Phenotyping and Denoising for Improved Genomic Discovery Bo Yuan, Cory Y McLean, Farhad I Hormozdiari, Justin Cosentino

AAAI 2022 BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo Yuan

IJCAI 2022 Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu

CVPR 2022 HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks Miao Yin, Yang Sui, Wanzhao Yang, Xiao Zang, Yu Gong, Bo Yuan

IJCAI 2022 Penalized Proximal Policy Optimization for Safe Reinforcement Learning Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao

NeurIPS 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu

ICMLW 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu

ECCV 2022 RIBAC: Towards Robust and Imperceptible Backdoor Attack Against Compact DNN Huy Phan, Cong Shi, Yi Xie, Tianfang Zhang, Zhuohang Li, Tianming Zhao, Jian Liu, Yan Wang, Yingying Chen, Bo Yuan

IJCAI 2021 Boosting Offline Reinforcement Learning with Residual Generative Modeling Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li

NeurIPS 2021 CHIP: CHannel Independence-Based Pruning for Compact Neural Networks Yang Sui, Miao Yin, Yi Xie, Huy Phan, Saman Aliari Zonouz, Bo Yuan

AAAI 2021 Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan

AAAI 2021 Enabling Fast and Universal Audio Adversarial Attack Using Generative Model Yi Xie, Zhuohang Li, Cong Shi, Jian Liu, Yingying Chen, Bo Yuan

IJCAI 2021 Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models Xiao Zang, Yi Xie, Jie Chen, Bo Yuan

AAAI 2021 How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang

CVPR 2021 Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework Miao Yin, Yang Sui, Siyu Liao, Bo Yuan

CVPR 2021 Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan

IJCAI 2020 A Dual Input-Aware Factorization Machine for CTR Prediction Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li, Bo Yuan

AAAI 2020 CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan

IJCAI 2020 Clarinet: A One-Step Approach Towards Budget-Friendly Unsupervised Domain Adaptation Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu

IJCAI 2020 Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos Haimei Zhao, Wei Bian, Bo Yuan, Dacheng Tao

AAAI 2020 Embedding Compression with Isotropic Iterative Quantization Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan

NeurIPS 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu

IJCAI 2019 An Input-Aware Factorization Machine for Sparse Prediction Yantao Yu, Zhen Wang, Bo Yuan

AAAI 2019 CircConv: A Structured Convolution with Low Complexity Siyu Liao, Bo Yuan

AAAI 2019 Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin

AAAI 2018 Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin

ICML 2017 Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan