Xitong Gao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 43

Top Topics

Reinforcement Learning Agents

Convolutional Network

Diffusion Models

Top Venues

Publications

Yunrui Yu, Xitong Gao, Cheng-Zhong Xu
LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Zixi Zhang, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao
Unlocking the Global Synergies in Low-Rank Adapters. CoRR (2024)
Bingru Han, Juanjuan Zhao, Xitong Gao, Kejiang Ye, Fan Zhang
MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles. PAKDD (5) (2024)
Yuang Chen, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao
Optimised Grouped-Query Attention Mechanism for Transformers. CoRR (2024)
Jiayan Chen, Zhirong Qian, Tianhui Meng, Xitong Gao, Tian Wang, Weijia Jia
Fed-Credit: Robust Federated Learning with Credibility Management. CoRR (2024)
Dongping Liao, Xitong Gao, Chengzhong Xu
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization. AAAI (2024)
Yuchen Song, Juanjuan Zhao, Xitong Gao, Fan Zhang, Kejiang Ye
Enhanced HMM Map Matching Model Based on Multiple Type Trajectories. PAKDD (5) (2024)
Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses. CoRR (2023)
Xinquan Chen, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models. ICCV (2023)
Yiping Luo, Xitong Gao, Anping Li, Ardak Kashkynbayev
Event-triggered finite-time formation control for second-order leader-following multi-agent systems with nonlinear term time delay. Int. J. Control 96 (10) (2023)
Dongping Liao, Xitong Gao, Yiren Zhao, Chengzhong Xu
Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. CVPR (2023)
Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye
Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models. ICTAI (2023)
Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye
A Survey on Cross-Domain Few-Shot Image Classification. BigData (2023)
Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks. CoRR (2023)
Furong Zheng, Juanjuan Zhao, Jiexia Ye, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling. IEEE Trans. Big Data 9 (3) (2023)
Yiren Zhao, Oluwatomisin Dada, Robert D. Mullins, Xitong Gao
Revisiting Structured Dropout. ACML (2023)
Xianghuan He, Xitong Gao, Juanjuan Zhao, Chengxi Gao, Kejiang Ye
Optimizing Cache Accesses with Tensor Memory Format Search for Transformers in TVM. CLOUD (2022)
Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye
Improving Few-Shot Image Classification with Self-supervised Learning. CLOUD (2022)
Yunrui Yu, Xitong Gao, Cheng-Zhong Xu
MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack. CoRR (2022)
Yunrui Yu, Xitong Gao, Cheng-Zhong Xu
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack. NeurIPS (2022)
Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins
Rapid Model Architecture Adaption for Meta-Learning. NeurIPS (2022)
Yiren Zhao, Oluwatomisin Dada, Xitong Gao, Robert D. Mullins
Revisiting Structured Dropout. CoRR (2022)
Tianrui Qin, Xianghuan He, Xitong Gao, Yiren Zhao, Kejiang Ye, Cheng-Zhong Xu
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation. CoRR (2022)
Yunrui Yu, Xitong Gao, Cheng-Zhong Xu
LAFEAT: Piercing Through Adversarial Defenses With Latent Features. CVPR (2021)
Xinquan Chen, Lujia Wang, Xitong Gao, Cheng-Zhong Xu
Cloud-based Robot Path Planning in Dynamic Environments. RCAR (2021)
Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins
Rapid Model Architecture Adaption for Meta-Learning. CoRR (2021)
Yunrui Yu, Xitong Gao, Cheng-Zhong Xu
LAFEAT: Piercing Through Adversarial Defenses with Latent Features. CoRR (2021)
Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen
Adversarial Attacks on ML Defense Models Competition. CoRR (2021)
Baoxin Zhao, Xitong Gao, Jianqi Liu, Juanjuan Zhao, Cheng-Zhong Xu
Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction. IEEE Access 8 (2020)
Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu
Pay Attention to Features, Transfer Learn Faster CNNs. ICLR (2020)
Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network. ICPR (2020)
Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert D. Mullins, Ross J. Anderson
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. DSN Workshops (2020)
Yiren Zhao, Duo Wang, Xitong Gao, Robert D. Mullins, Pietro Liò, Mateja Jamnik
Probabilistic Dual Network Architecture Search on Graphs. CoRR (2020)
Yiren Zhao, Xitong Gao, Daniel Bates, Robert D. Mullins, Cheng-Zhong Xu
Focused Quantization for Sparse CNNs. NeurIPS (2019)
Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert D. Mullins, Ross J. Anderson
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. CoRR (2019)
Ilia Shumailov, Xitong Gao, Yiren Zhao, Robert D. Mullins, Ross Anderson, Cheng-Zhong Xu
Sitatapatra: Blocking the Transfer of Adversarial Samples. CoRR (2019)
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. FPT (2019)
Yiren Zhao, Xitong Gao, Daniel Bates, Robert D. Mullins, Cheng-Zhong Xu
Efficient and Effective Quantization for Sparse DNNs. CoRR (2019)
Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu
Dynamic Channel Pruning: Feature Boosting and Suppression. ICLR (Poster) (2019)
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs. CoRR (2019)
Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu
Dynamic Channel Pruning: Feature Boosting and Suppression. CoRR (2018)
Yiren Zhao, Xitong Gao, Robert D. Mullins, Chengzhong Xu
Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks. EMDL@MobiSys (2018)
Xitong Gao, John Wickerson, George A. Constantinides
Automatically Optimizing the Latency, Area, and Accuracy of C Programs for High-Level Synthesis. FPGA (2016)
Xitong Gao, George A. Constantinides
Numerical Program Optimization for High-Level Synthesis. FPGA (2015)
Xitong Gao, Samuel Bayliss, George A. Constantinides
SOAP: Structural optimization of arithmetic expressions for high-level synthesis. FPT (2013)