35 results on '"BINGZHE WU"'
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2. A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification.
3. Parameter-Efficient Fine-Tuning with Discrete Fourier Transform.
4. VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models.
5. Density-Aware Prototypical Network for Few-Shot Relation Classification.
6. Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators.
7. PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection.
8. RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data.
9. Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation.
10. E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition.
11. SAILOR: Structural Augmentation Based Tail Node Representation Learning.
12. IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis.
13. Calibrating Multimodal Learning.
14. DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations.
15. Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification.
16. Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network.
17. Federated Nearest Neighbor Machine Translation.
18. Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization.
19. Fairness-guided Few-shot Prompting for Large Language Models.
20. Attention Paper: How Generative AI Reshapes Digital Shadow Industry?
21. HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation.
22. Secure Social Recommendation Based on Secret Sharing.
23. Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial.
24. S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search.
25. Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics.
26. UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.
27. Post-Training Quantization on Diffusion Models.
28. Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
29. Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection.
30. P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification.
31. BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference.
32. G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification.
33. SaFace: Towards Scenario-aware Face Recognition via Edge Computing System.
34. Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer.
35. Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching.
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