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723 results on '"Chen, Yiran"'

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1. Towards Automated Model Design on Recommender Systems

2. qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers

3. SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models

4. CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation

5. A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models

6. Federated Large Language Models: Current Progress and Future Directions

7. FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning

8. MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on Heterogeneous and Long-tailed Data

9. Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning

10. PatternPaint: Generating Layout Patterns Using Generative AI and Inpainting Techniques

11. CinePreGen: Camera Controllable Video Previsualization via Engine-powered Diffusion

12. Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency

13. ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model

14. LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits

15. MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree Model Processing on CAMs

16. ARTIST: Improving the Generation of Text-rich Images with Disentangled Diffusion Models

17. PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models

18. Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS

19. Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback

20. CSCO: Connectivity Search of Convolutional Operators

21. OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery

22. Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems

23. Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study

24. ModSRAM: Algorithm-Hardware Co-Design for Large Number Modular Multiplication in SRAM

25. Peeking Behind the Curtains of Residual Learning

26. Group Distributionally Robust Dataset Distillation with Risk Minimization

27. Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers

28. PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions

29. NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing

30. EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research

31. Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents

32. Efficient Dataset Distillation via Minimax Diffusion

33. SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion

34. DACBERT: Leveraging Dependency Agreement for Cost-Efficient Bert Pretraining

35. DistDNAS: Search Efficient Feature Interactions within 2 Hours

36. Farthest Greedy Path Sampling for Two-shot Recommender Search

37. SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models

38. FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

39. The Role of Syntactic and Referential Evidence in Verb Learning across Exposures

40. Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations

41. DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms

42. LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search

43. OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection

45. PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information

46. Towards Building the Federated GPT: Federated Instruction Tuning

47. Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples

48. Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties

49. SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection

50. PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration

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