Xitong Gao

Orcid: 0000-0002-9569-0299

According to our database1, Xitong Gao authored at least 35 papers between 2013 and 2024.

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Bibliography

2024
LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Enhanced HMM Map Matching Model Based on Multiple Type Trajectories.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Event-triggered finite-time formation control for second-order leader-following multi-agent systems with nonlinear term time delay.
Int. J. Control, October, 2023

Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling.
IEEE Trans. Big Data, June, 2023

APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses.
CoRR, 2023

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks.
CoRR, 2023

Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Channel Sparsity for Federated Learning under System Heterogeneity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Survey on Cross-Domain Few-Shot Image Classification.
Proceedings of the Big Data - BigData 2023, 2023

2022
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation.
CoRR, 2022

Revisiting Structured Dropout.
CoRR, 2022

Rapid Model Architecture Adaption for Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimizing Cache Accesses with Tensor Memory Format Search for Transformers in TVM.
Proceedings of the Cloud Computing - CLOUD 2022, 2022

Improving Few-Shot Image Classification with Self-supervised Learning.
Proceedings of the Cloud Computing - CLOUD 2022, 2022

2021
Adversarial Attacks on ML Defense Models Competition.
CoRR, 2021

Cloud-based Robot Path Planning in Dynamic Environments.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

LAFEAT: Piercing Through Adversarial Defenses With Latent Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Probabilistic Dual Network Architecture Search on Graphs.
CoRR, 2020

Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction.
IEEE Access, 2020

AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Pay Attention to Features, Transfer Learn Faster CNNs.
Proceedings of the 8th International Conference on Learning Representations, 2020

Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information.
Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2020

2019
Efficient and Effective Quantization for Sparse DNNs.
CoRR, 2019

Sitatapatra: Blocking the Transfer of Adversarial Samples.
CoRR, 2019

Focused Quantization for Sparse CNNs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dynamic Channel Pruning: Feature Boosting and Suppression.
Proceedings of the 7th International Conference on Learning Representations, 2019

Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs.
Proceedings of the International Conference on Field-Programmable Technology, 2019

2018
Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks.
Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018

2016
Automatically Optimizing the Latency, Area, and Accuracy of C Programs for High-Level Synthesis.
Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

2015
Numerical Program Optimization for High-Level Synthesis.
Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2015

2013
SOAP: Structural optimization of arithmetic expressions for high-level synthesis.
Proceedings of the 2013 International Conference on Field-Programmable Technology, 2013


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