2024
LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models.
CoRR, 2024
Optimised Grouped-Query Attention Mechanism for Transformers.
CoRR, 2024
Unlocking the Global Synergies in Low-Rank Adapters.
CoRR, 2024
Fed-Credit: Robust Federated Learning with Credibility Management.
CoRR, 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
GCompletor: A Graph-Based Deep Learning Method for Traffic State Imputation on Urban Road Networks.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
RCDP: A Privacy-Preserving Approach for Synthesizing Realistic Commuting Data.
Proceedings of the IEEE International Conference on Big Data, 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
FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification.
Proceedings of the Artificial Neural Networks and Machine Learning, 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
Revisiting Structured Dropout.
Proceedings of the Asian Conference on Machine Learning, 2023
2022
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation.
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.
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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