Xitong Gao

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Optimised Grouped-Query Attention Mechanism for Transformers.

[BibT_eX]

[DOI]

Yiren Zhao

CoRR, 2024

Unlocking the Global Synergies in Low-Rank Adapters.

[BibT_eX]

[DOI]

Yiren Zhao

CoRR, 2024

Fed-Credit: Robust Federated Learning with Credibility Management.

[BibT_eX]

[DOI]

CoRR, 2024

Enhanced HMM Map Matching Model Based on Multiple Type Trajectories.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization.

[BibT_eX]

[DOI]

Dongping Liao

Chengzhong Xu

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.

[BibT_eX]

[DOI]

Int. J. Control, October, 2023

Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, June, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Adaptive Channel Sparsity for Federated Learning under System Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Survey on Cross-Domain Few-Shot Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Big Data - BigData 2023, 2023

Revisiting Structured Dropout.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Rapid Model Architecture Adaption for Meta-Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yunrui Yu

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.

[BibT_eX]

[DOI]

Proceedings of the Cloud Computing - CLOUD 2022, 2022

Improving Few-Shot Image Classification with Self-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Cloud Computing - CLOUD 2022, 2022

2021

Adversarial Attacks on ML Defense Models Competition.

[BibT_eX]

[DOI]

CoRR, 2021

Cloud-based Robot Path Planning in Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

LAFEAT: Piercing Through Adversarial Defenses With Latent Features.

[BibT_eX]

[DOI]

Yunrui Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Probabilistic Dual Network Architecture Search on Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction.

[BibT_eX]

[DOI]

IEEE Access, 2020

AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Pay Attention to Features, Transfer Learn Faster CNNs.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2020

2019

Efficient and Effective Quantization for Sparse DNNs.

[BibT_eX]

[DOI]

CoRR, 2019

Sitatapatra: Blocking the Transfer of Adversarial Samples.

[BibT_eX]

[DOI]

CoRR, 2019

Focused Quantization for Sparse CNNs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Field-Programmable Technology, 2019

2018

Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

John Wickerson

Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

2015

Numerical Program Optimization for High-Level Synthesis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Samuel Bayliss