Performance investigation on disaggregated artificial intelligence data centers beyond rack scale with optical switching.
J. Opt. Commun. Netw., 2025
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Patent lifetime prediction using LightGBM with a customized loss.
PeerJ Comput. Sci., 2024
BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement.
CoRR, 2024
Adaptive edge prior-based deep attention residual network for low-dose CT image denoising.
Biomed. Signal Process. Control., 2024
UniAR: A Unified model for predicting human Attention and Responses on visual content.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
MMVR: Millimeter-Wave Multi-view Radar Dataset and Benchmark for Indoor Perception.
Proceedings of the Computer Vision - ECCV 2024, 2024
Rich Human Feedback for Text-to-Image Generation.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
UniAR: Unifying Human Attention and Response Prediction on Visual Content.
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CoRR, 2023
Dual Node and Edge Fairness-Aware Graph Partition.
CoRR, 2023
Learning Antidote Data to Individual Unfairness.
Proceedings of the International Conference on Machine Learning, 2023
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Characterizing the Influence of Graph Elements.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Mining Label Distribution Drift in Unsupervised Domain Adaptation.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
Achieving Fairness at No Utility Cost via Data Reweighing.
CoRR, 2022
Achieving Fairness at No Utility Cost via Data Reweighing with Influence.
Proceedings of the International Conference on Machine Learning, 2022
Exploiting Temporal Relations on Radar Perception for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Deep Clustering based Fair Outlier Detection.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections.
Proceedings of the 9th International Conference on Learning Representations, 2021
SelfDoc: Self-Supervised Document Representation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Phase Shifter-Relaxed and Control-Relaxed Continuous Steering Multiple Beamforming 4 × 4 Butler Matrix Phased Array.
IEEE Trans. Circuits Syst., 2020
Deep Fair Clustering for Visual Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking.
CoRR, 2019
Multi-Scale Aggregation Network for Direct Face Alignment.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Model-Free Tracking With Deep Appearance and Motion Features Integration.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Two-Stream Multi-Task Network for Fashion Recognition.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019