MedPlan:A Two-Stage RAG-Based System for Personalized Medical Plan Generation.
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CoRR, March, 2025
Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios.
CoRR, 2024
Joint Universal Adversarial Perturbations with Interpretations.
CoRR, 2024
A Survey on Efficient Inference for Large Language Models.
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CoRR, 2024
Interpretation-Empowered Neural Cleanse for Backdoor Attacks.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Consistency Regularization for Domain Generalization with Logit Attribution Matching.
Proceedings of the Uncertainty in Artificial Intelligence, 2024
ProtoTree-MIL: Interpretable Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2024
Evaluating Quantized Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
A Causal Framework to Unify Common Domain Generalization Approaches.
CoRR, 2023
Contrastive Domain Generalization via Logit Attribution Matching.
CoRR, 2023
Model Debiasing via Gradient-based Explanation on Representation.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
SNIFF: A Scalable Network Inference Framework for Measuring End-to-End Performance.
IEEE Trans. Netw. Sci. Eng., 2022
Counterfactual Explanations in Explainable AI: A Tutorial.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Controlling the Maximum Link Estimation Error in Network Performance Tomography.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
Bound Inference in Network Performance Tomography With Additive Metrics.
IEEE/ACM Trans. Netw., 2020
Bound-based Network Tomography with Additive Metrics.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
SNIFF: A Scalable Network Inference Framework for Measuring End-to-End Performance Based on Matrix Completion.
Proceedings of the 5th International Conference on Big Data Computing and Communications, 2019
On the Optimal Monitor Placement for Inferring Additive Metrics of Interested Paths.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
A Generic and Programmable Name Resolution System in Future Internet Architectures.
IEEE Wirel. Commun., 2017
Link Prediction Based on Common-Neighbors for Dynamic Social Network.
Proceedings of the 7th International Conference on Ambient Systems, 2016
IT capability and organizational performance: the roles of business process agility and environmental factors.
Eur. J. Inf. Syst., 2014
Longitudinal Alteration of Amygdalar Functional Connectivity in Mild Cognitive Impairment Subjects Revealed by Resting-State fMRI.
Brain Connect., 2014
Altered spontaneous activity in Alzheimer's disease and mild cognitive impairment revealed by Regional Homogeneity.
NeuroImage, 2012
<i>In silico</i> identification software (ISIS): a machine learning approach to tandem mass spectral identification of lipids.
Bioinform., 2012