225 results on '"Yiyu Shi"'
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2. Special Session: Sustainable Deployment of Deep Neural Networks on Non-Volatile Compute-in-Memory Accelerators.
3. Combining Parameterized Pulses and Contextual Subspace for More Practical VQE.
4. Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm.
5. Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis.
6. A Reconfigurable Bandpass Filter with Ferroelectric Devices for Intracardiac Electrograms Monitoring.
7. Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset.
8. Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis.
9. FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis.
10. SCARIF: Towards Carbon Modeling of Cloud Servers with Accelerators.
11. Automatic Segment-Level Assessment of Regional Wall Motion Abnormality From Echocardiography Images.
12. FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models : (Invited Paper).
13. SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration.
14. Enhance Regional Wall Segmentation by Style Transfer for Regional Wall Motion Assessment.
15. Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image Segmentation.
16. DASALS: Differentiable Architecture Search-Driven Approximate Logic Synthesis.
17. Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators Through Training with Right-Censored Gaussian Noise.
18. Quantization through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space.
19. Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis.
20. MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans.
21. AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor.
22. Additional Positive Enables Better Representation Learning for Medical Images.
23. Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation.
24. On the Viability of Using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators.
25. Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning.
26. Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning.
27. Hybrid Gate-Pulse Model for Variational Quantum Algorithms.
28. Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models.
29. AccALS: Accelerating Approximate Logic Synthesis by Selection of Multiple Local Approximate Changes.
30. REFRESH FPGAs: Sustainable FPGA Chiplet Architectures.
31. Maiby's Algorithm: A Two-Stage Deep Learning Approach for Murmur Detection in Mel Spectrograms for Automatic Auscultation of Congenital Heart Disease.
32. ICD-BAS: Detecting Ventricular Arrhythmia using Binary Architecture Search for Implantable Cardioverter Defibrillators.
33. TorchQuantum Case Study for Robust Quantum Circuits.
34. Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous?
35. Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation.
36. Decentralized Unsupervised Learning of Visual Representations.
37. RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search.
38. RT-DNAS: Real-Time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation.
39. FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis.
40. Hardware/Software Co-Exploration for Graph Neural Architectures on FPGAs.
41. Variational Quantum Pulse Learning.
42. The larger the fairer?: small neural networks can achieve fairness for edge devices.
43. SWIM: selective write-verify for computing-in-memory neural accelerators.
44. Demo: Addressing Inter-Intra Patient Variability via Personalized Meta-Federated Learning in IoT-Enabled Health Monitoring.
45. Ct Image Denoising With Encoder-Decoder Based Graph Convolutional Networks.
46. Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography.
47. Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays (Invited Paper).
48. Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper).
49. Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper).
50. Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper).
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