2024
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
A Dataset of the Operating Station Heat Rate for 806 Indian Coal Plant Units using Machine Learning.
CoRR, 2024
A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms.
CoRR, 2024
Repurposing Coal Power Plants into Thermal Energy Storage for Supporting Zero-carbon Data Centers.
CoRR, 2024
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Compressing Large Language Models by Joint Sparsification and Quantization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
PTQ4SAM: Post-Training Quantization for Segment Anything.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
DB-LLM: Accurate Dual-Binarization for Efficient LLMs.
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Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
Spatio-Temporal Adaptive Network With Bidirectional Temporal Difference for Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., September, 2023
Distribution-Sensitive Information Retention for Accurate Binary Neural Network.
Int. J. Comput. Vis., 2023
OHQ: On-chip Hardware-aware Quantization.
CoRR, 2023
Joint Chance-constrained Game for Coordinating Microgrids in Energy and Reserve Markets: A Bayesian Optimization Approach.
CoRR, 2023
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
BiBench: Benchmarking and Analyzing Network Binarization.
Proceedings of the International Conference on Machine Learning, 2023
Coordinating renewable microgrids for reliable reserve services: a distributionally robust chance-constrained game.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
2022
Distributionally Robust Joint Chance-Constrained Optimization for Networked Microgrids Considering Contingencies and Renewable Uncertainty.
IEEE Trans. Smart Grid, 2022
Towards Accurate Post-Training Quantization for Vision Transformer.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
BiFSMN: Binary Neural Network for Keyword Spotting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
BiBERT: Accurate Fully Binarized BERT.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
An Empirical study of Data-Free Quantization's Tuning Robustness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Diverse Sample Generation: Pushing the Limit of Data-free Quantization.
CoRR, 2021
Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images.
CoRR, 2021
Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization.
Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021
Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
BiPointNet: Binary Neural Network for Point Clouds.
Proceedings of the 9th International Conference on Learning Representations, 2021
Additive Gaussian process prediction for electrical loads compared with deep learning models.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021
Diversifying Sample Generation for Accurate Data-Free Quantization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Distributionally robust optimization for networked microgrids considering contingencies and renewable uncertainty.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Supervised machine learning for region assignment of zebrafish brain nuclei based on computational assessment of cell neighborhoods.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Predictive Control of Rural Microgrids with Temperature-dependent Battery Degradation Cost.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
2019
Assessment of the Value of Frequency Response Times in Power Systems.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019
A Novel Channel Emulation Method in Multi-Probe Anechoic Chamber Setups.
Proceedings of the IEEE International Conference on Consumer Electronics, 2019
2016
Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classification.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016