2025年阅读组会

发布时间：2025-03-23 浏览次数：1000

时间	主讲人	论文题目	附件	会议/期刊
2025.03.02	无人系统组-工作介绍, 赖民信	Redundancy-Aware Decoding and Inference:Minimizing Video Analytics Overheads	阅读组会20250302-工作介绍.pptx
2025.03.02	无人系统组-论文阅读, 刘烁	Rethinking Imitation-based Planner for Autonomous Driving	阅读组会20250302.pptx	ICRA'2024
2025.03.02	魏星迪	Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL	ZNL2SQL-VLDB2024.pptx	VLDB'2024
2025.03.09	计算优化组, 刘硕, 王贺, 季扬, 孙策	Deepseek论文分享	DeepSeek论文分享.pptx
	王西霖	Rethinking Imitation-based Planner for Autonomous Driving	Rethinking Imitation-based Planner for Autonomous Driving论文分享.pptx	ICRA'24
	李永尚	A Fault-Tolerant Million Qubit-Scale Distributed Quantum Computer	阅读组会.pptx	ASPLOS'24
	郑钊雨	GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching	zzy20250309阅读组会.pptx	Arxiv'2025
2025.03.16	唐富根	DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence	dpsk-coder.pptx	Arxiv'2024
2025.03.23	李永尚	Optimizing Quantum Fourier Transformation (QFT) Kernels for Modern NISQ and FT Architectures	SC2024QFT.pptx	SC'24
	丁伯尧	Optimistic Stack Allocation and Dynamic Heapification for Managed Runtimes	Optimistic Stack Allocation and Dynamic Heapification for Managed Runtimes.pptx	PLDI'24
	刘硕	Falcon: A Fused Approach to Path-Sensitive Sparse Data Dependence Analysis	Falcon论文粗读.pptx	PLDI'24
2025.03.30	赖民信	Apollo: An Exploration of Video Understanding in Large Multimodal Models	阅读组会250330-apollo.pptx	Arxiv'24
	石磊鑫	External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation	ExFM.pptx	Arxiv'25
2025.04.06	陈铭瑜	开题报告	开题报告-cmy.pptx
	王贺	Large Language Models Pass the Turing Test	Large Language Models Pass the Turing Test.pptx	Arxiv'25
	刘烁	Visual Instruction Tuning	阅读组会0406-Visual Instruction Tuning.pptx	NeurlPS'23
2025.04.13	李清伟	Constraint-Based Test Oracles for Program Analyzers	Fleischmann et al. - 2024 - Constraint-Based Test Oracles for Program Analyzers.pptx	ASE'24
	向红静	On-Demand Scenario Generation for Testing Automated Driving Systems	On-Demand Scenario Generation for Testing Automated Driving Systems.pptx	FSE'25
	孙新雨	The AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition	AI CUDA Engineer.pptx	Optimization and Composition'25
	郑钊雨	Unleashing the Potential of LLMs for Quantum Computing: A Study in Quantum Architecture Design	zzy20250413阅读组会.pptx	Arxiv'23