Explanipedia

Orders in Chaos: Enhancing Large-Scale MoE LLM Serving with Data Movement Forecasting Open

Yu Zhang, Yue Guan, Chenyang Zhou, Shiling Pei, Yangwook Kang , et al. · 2025

Large-scale Mixture of Experts (MoE) Large Language Models (LLMs) have recently become the frontier open weight models, achieving remarkable model capability similar to proprietary ones. But their random expert selection mechanism introduc…

Mercury: Unlocking Multi-GPU Operator Optimization for LLMs via Remote Memory Scheduling Open

Yue Guan, Xinwei Qiang, Zaifeng Pan, Daniels Johnson, Yuanwei Fang , et al. · 2025

Efficacy and safety of cold snare polypectomy for outpatient treatment of sessile polyps smaller than 10mm Open

Chunmei Li, Xinyu Xie, Jian Qin, Yufei Ding, Xiaojuan Ma , et al. · 2025

PowerMove: Optimizing Compilation for Neutral Atom Quantum Computers with Zoned Architecture Open

Jixuan Ruan, Xiang Fang, Hezi Zhang, Ang Li, Travis S. Humble , et al. · 2025

Quantitative computed tomography analysis of bone microarchitecture is associated with rotator cuff healing Open

Heyong Yin, Yufei Ding, Feng Zhang, Zexing Yan, Ai Guo · 2025

Tendon-bone healing is impaired in the presence of OP but can be partially restored by ALN treatment. Furthermore, CT-based quantitative analysis of bone microarchitecture at the humeral greater tuberosity shows a significant correlation w…

Anti‐Osteoporosis Treatment Alleviates Osteoarthritis Symptoms and Partially Reverses Disease Progression Open

Feng Zhang, Heyong Yin, Yufei Ding, Xun Sun, Tao Zhang , et al. · 2025

Objective Osteoarthritis (OA) and osteoporosis (OP) are highly prevalent in postmenopausal women; however, their relationship remains complex and controversial. This study aimed to investigate whether anti‐OP treatment alleviates osteoarth…

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving Open

Zhengyong Hu, V. S. N. Murthy, Ziqi Pan, Wenjun Li, X. FANG , et al. · 2025

This paper addresses emerging system-level challenges in heterogeneous retrieval-augmented generation (RAG) serving, where complex multi-stage workflows and diverse request patterns complicate efficient execution. We present HedraRAG, a ru…

RoboVerse: A Unified Platform, Benchmark and Dataset for Scalable and Generalizable Robot Learning Open

Haoran Geng, Feishi Wang, Songlin Wei, Yuyang Li, Bangjun Wang , et al. · 2025

Hardware-aware Calibration Protocol for Quantum Computers Open

Yuchen Zhu, Jinglei Cheng, Boxi Li, Kecheng Liu, Yidong Zhou , et al. · 2025

TRACI: Network Acceleration of Input-Dynamic Communication for Large-Scale Deep Learning Recommendation Model Open

Guyue Huang, Hao Li, Le Qin, Jiayi Huang, Yangwook Kang , et al. · 2025

SwitchQNet: Optimizing Distributed Quantum Computing for Quantum Data Centers with Switch Networks Open

Hezi Zhang, Yiran Xu, Haotian Hu, Keyi Yin, Hassan Shapourian , et al. · 2025

Construction of cartilaginous organoids based on cartilage extracellular matrix microcarriers to promote articular cartilage regeneration through immune regulation Open

Hongyu Jiang, Wei Liu, Jiajie Chen, Yue Tian, Zhibo Jia , et al. · 2025

KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads Open

Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren , et al. · 2025

In this work, we propose KPerfIR, a novel multilevel compiler-centric infrastructure to enable the development of customizable, extendable, and portable profiling tools tailored for modern artificial intelligence (AI) workloads on modern G…

Conditional Generative Modeling for Amorphous Multi-Element Materials Open

Wan‐Lu Li, Honglin Li, Cheng-Shan Liu, Yongfeng Guo, Xiaoshan Luo , et al. · 2025

Amorphous multi-element materials offer unprecedented tunability in composition and properties, yet their rational design remains challenging due to the lack of predictive structure-property relationships and vast configurational space. Tr…

OneAdapt: Adaptive Compilation for Resource-Constrained Photonic One-Way Quantum Computing Open

Hezi Zhang, Jixuan Ruan, Dean M. Tullsen, Yufei Ding, An‐Ping Li , et al. · 2025

Measurement-based quantum computing (MBQC), a.k.a. one-way quantum computing (1WQC), is a universal quantum computing model, which is particularly well-suited for photonic platforms. In this model, computation is driven by measurements on …

Flexion: Adaptive In-Situ Encoding for On-Demand QEC in Ion Trap Systems Open

Keyi Yin, Xiang Fang, Zhuo Chen, An‐Ping Li, David Hayes , et al. · 2025

Recent advances in quantum hardware and quantum error correction (QEC) have set the stage for early demonstrations of fault-tolerant quantum computing (FTQC). A key near-term goal is to build a system capable of executing millions of logic…

S-QGPU: Shared quantum gate processing unit for distributed quantum computing Open

Shengwang Du, Yufei Ding, Chunming Qiao · 2025

We propose a distributed quantum computing (DQC) architecture in which individual small-sized quantum computers are connected to a shared quantum gate processing unit (S-QGPU). The S-QGPU comprises a collection of hybrid two-qubit gate mod…

STQS: A Unified System Architecture for Spatial Temporal Quantum Sensing Open

Yufei Ding · 2025

Quantum sensing (QS) harnesses quantum phenomena to measure physical observables with extraordinary precision, sensitivity, and resolution. Despite significant advancements in quantum sensing, prevailing efforts have focused predominantly …

SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation Open

Zekun Qi, Wenyao Zhang, Yufei Ding, Runpei Dong, Xinqiang Yu , et al. · 2025

While spatial reasoning has made progress in object localization relationships, it often overlooks object orientation-a key factor in 6-DoF fine-grained manipulation. Traditional pose representations rely on pre-defined frames or templates…

QECC-Synth: A Layout Synthesizer for Quantum Error Correction Codes on Sparse Architectures Open

Keyi Yin, Hezi Zhang, Xiang Fang, Yunong Shi, Travis S. Humble , et al. · 2025

Optimizing FTQC Programs through QEC Transpiler and Architecture Codesign Open

Meng Wang, Chenxu Liu, Samuel Stein, Yufei Ding, Poulami Das , et al. · 2024

Fault-tolerant quantum computing (FTQC) is essential for executing reliable quantum computations of meaningful scale. Widely adopted QEC codes for FTQC, such as the surface code and color codes, utilize Clifford+T gate sets, where T gates …

Optimizing Quantum Communication for Quantum Data Centers with Reconfigurable Networks Open

Hezi Zhang, Yiran Xu, Haotian Hu, Keyi Yin, Hassan Shapourian , et al. · 2024

Distributed Quantum Computing (DQC) enables scalability by interconnecting multiple QPUs. Among various DQC implementations, quantum data centers (QDCs), which utilize reconfigurable optical switch networks to link QPUs across different ra…

SymBreak: Mitigating Quantum Degeneracy Issues in QLDPC Code Decoders by Breaking Symmetry Open

Keyi Yin, Xiang Fang, Jixuan Ruan, Hezi Zhang, Dean M. Tullsen , et al. · 2024

Quantum error correction (QEC) is critical for scalable and reliable quantum computing, but existing solutions, such as surface codes, incur significant qubit overhead. Quantum low-density parity check (qLDPC) codes have recently emerged a…

CaliScalpel: In-Situ and Fine-Grained Qubit Calibration Integrated with Surface Code Quantum Error Correction Open

Xiang Fang, Keyi Yin, Yuchen Zhu, Jixuan Ruan, Dean M. Tullsen , et al. · 2024

Quantum Error Correction (QEC) is a cornerstone of fault-tolerant, large-scale quantum computing. However, qubit error drift significantly degrades QEC performance over time, necessitating periodic calibration. Traditional calibration meth…

PowerMove: Optimizing Compilation for Neutral Atom Quantum Computers with Zoned Architecture Open

Jixuan Ruan, Xiang Fang, Hezi Zhang, Ang Li, Travis S. Humble , et al. · 2024

Neutral atom-based quantum computers (NAQCs) have recently emerged as promising candidates for scalable quantum computing, largely due to their advanced hardware capabilities, particularly qubit movement and the zoned architecture (ZA). Ho…

Architectures for Heterogeneous Quantum Error Correction Codes Open

Samuel Stein, Xu Shifan, Andrew W. Cross, Theodore J. Yoder, Ali Javadi-Abhari , et al. · 2024

Quantum Error Correction (QEC) is essential for future quantum computers due to its ability to exponentially suppress physical errors. The surface code is a leading error-correcting code candidate because of its local topological structure…

Corrigendum to: An Essential Role of c-Fos in Notch1-mediated Promotion of Proliferation of KSHV-Infected SH-SY5Y Cells Open

Huiling Xu, Jinghong Huang, Lixia Yao, Wenyi Gu, Aynisahan Ruzi , et al. · 2024

In the online version of the article, a change was made in the author's position. The affiliation of Dongmei Li and Jinli Zhang in the online version of the article titled “An Essential Role of c-Fos in Notch1-mediated Promotion of Prolife…

DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes Open

Jialiang Zhang, Haoran Liu, Danshi Li, Xinqiang Yu, Haoran Geng , et al. · 2024

Grasping in cluttered scenes remains highly challenging for dexterous hands due to the scarcity of data. To address this problem, we present a large-scale synthetic benchmark, encompassing 1319 objects, 8270 scenes, and 427 million grasps.…

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration Open

Tianyu Wang, Sheng Li, Bingyao Li, Yue Dai, Ao Li , et al. · 2024

Continuous learning (CL) has emerged as one of the most popular deep learning paradigms deployed in modern cloud GPUs. Specifically, CL has the capability to continuously update the model parameters (through model retraining) and use the u…

Large-scale self-normalizing neural networks Open

Zhaodong Chen, Weiqin Zhao, Lei Deng, Yufei Ding, Qinghao Wen , et al. · 2024

Self-normalizing neural networks (SNN) regulate the activation and gradient flows through activation functions with the self-normalization property. As SNNs do not rely on norms computed from minibatches, they are more friendly to data par…

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