| 2025 | ACL | TST: A Schema-Based Top-Down and Dynamic-Aware Agent of Text-to-Table Tasks. | Peiwen Jiang, Haitong Jiang, Ruhui Ma, Yvonne Jie Chen, Jinhua Cheng |
| 2025 | DAC | AARC: Automated Affinity-aware Resource Configuration for Serverless Workflows. | Lingxiao Jin, Zinuo Cai, Zebin Chen, Hongyu Zhao, Ruhui Ma |
| 2025 | ICASSP | Fine-Grained Global Modeling Learning for Personalized Federated Sequential Recommender. | Yicheng Di, Hongjian Shi, Ruhui Ma, Yuan Liu, Weiyu Wang |
| 2024 | ECCV | SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks. | Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, Haibing Guan |
| 2024 | EMNLP | TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs. | Peiwen Jiang, Xinbo Lin, Zibo Zhao, Ruhui Ma, Yvonne Jie Chen, Jinhua Cheng |
| 2024 | ICCD | Hermes: Memory-Efficient Pipeline Inference for Large Models on Edge Devices. | Xueyuan Han, Zinuo Cai, Yichu Zhang, Chongxin Fan, Junhan Liu, Ruhui Ma, Rajkumar Buyya |
| 2023 | AAAI | FedALA: Adaptive Local Aggregation for Personalized Federated Learning. | Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan |
| 2023 | ECAI | Information Bound and Its Applications in Bayesian Neural Networks. | Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan |
| 2023 | ICASSP | Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion. | Rui Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan |
| 2023 | ICCV | GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. | Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan |
| 2023 | ICML | Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. | Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan |
| 2023 | KDD | FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. | Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan |
| 2023 | MMM | Self-supervised Multi-object Tracking with Cycle-Consistency. | Yuanhang Yin, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan |
| 2022 | AAAI | Improving Bayesian Neural Networks by Adversarial Sampling. | Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan |
| 2021 | CLOUD | Siren: Byzantine-robust Federated Learning via Proactive Alarming. | Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, Haibing Guan |
| 2021 | CVPR | Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization. | Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan |
| 2021 | ICASSP | Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking. | Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan |
| 2021 | ICCV | Self-Supervised Vessel Segmentation via Adversarial Learning. | Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan |
| 2021 | ICIP | Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks. | Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan |
| 2021 | IJCAI | Themis: A Fair Evaluation Platform for Computer Vision Competitions. | Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan |
| 2020 | AAAI | Reinforcing Neural Network Stability with Attractor Dynamics. | Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan |
| 2020 | ECCV | Dual Adversarial Network for Deep Active Learning. | Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng |
| 2020 | ICPR | VTT: Long-term Visual Tracking with Transformers. | Tianling Bian, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan |
| 2020 | WCNC | A Secure Authentication Scheme for Remote Diagnosis and Maintenance in Internet of Vehicles. | Ruhui Ma, Jin Cao, Dengguo Feng, Hui Li, Ben Niu, Fenghua Li, Lihua Yin |
| 2019 | DATE | vDARM: Dynamic Adaptive Resource Management for Virtualized Multiprocessor Systems. | Jianmin Qian, Jian Li, Ruhui Ma, Haibing Guan |
| 2019 | ICCV | Object Guided External Memory Network for Video Object Detection. | Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan |
| 2019 | Middleware | EnclaveCache: A Secure and Scalable Key-value Cache in Multi-tenant Clouds using Intel SGX. | Li-Xia Chen, Jian Li, Ruhui Ma, Haibing Guan, Hans-Arno Jacobsen |
| 2018 | DATE | Topology-aware virtual resource management for heterogeneous multicore systems. | Jianmin Qian, Jian Li, Ruhui Ma |
| 2018 | ICCD | Optimizing Virtual Resource Management for Consolidated NUMA Systems. | Jianmin Qian, Jian Li, Ruhui Ma, Haibing Guan |
| 2017 | ICPP | ES2: Aiming at an Optimal Virtual I/O Event Path. | Xiaokang Hu, Wang Zhang, Jian Li, Ruhui Ma, Feng Wu, Haibing Guan |
| 2015 | CloudCom | vINT: Hardware-Assisted Virtual Interrupt Remapping for SMP VM with Scheduling Awareness. | Jian Li, Ruhui Ma, Haibing Guan, David S. L. Wei |
| 2015 | ICA3PP | DaSS: Dynamic Time Slice Scheduler for Virtual Machine Monitor. | Ruhui Ma, Jian Li, Liwei Lin, Haibing Guan |
| 2012 | CLUSTER | Adjustable Credit Scheduling for High Performance Network Virtualization. | Zhibo Chang, Jian Li, Ruhui Ma, Zhiqiang Huang, Haibing Guan |
| 2012 | CLUSTER | Adaptive and Scalable Optimizations for High Performance SR-IOV. | Zhiqiang Huang, Ruhui Ma, Jian Li, Zhibo Chang, Haibing Guan |
| 2012 | CLUSTER | High Availability through Output Continuity. | Wei Ye, Yaozu Dong, Ruhui Ma, Alei Liang, Haibing Guan |
| 2009 | ICA3PP | MTCrossBit: A Dynamic Binary Translation System Using Multithreaded Optimization Framework. | Xiaolong Li, Deen Zheng, Ruhui Ma, Alei Liang, Haibing Guan |