Expertini Research Research

Browse Research Papers

261+ open-access research outputs.

✕ Clear
🔍 masako kishida 📂 Computer Science
Showing 261 results for "masako kishida" in Computer Science
Computer Science Preprint PDF DOI

MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks

Jona te Lintelo, Lichao Wu, Marina Krcek, Sengim Karayalcin, Stjepan Picek · 2026

Mixture-of-Experts (MoE) architectures in Large Language Models (LLMs) have significantly reduced inference costs through sparse activation. However, this sparse activation paradigm also introduces ne…

Read Paper →
Computer Science Preprint PDF DOI

DeepParse: Hybrid Log Parsing with LLM-Synthesized Regex Masks

Amir Shetaia, Sean Kauffman · 2026

Modern distributed systems produce massive, heterogeneous logs essential for reliability, security, and anomaly detection. Converting these free-form messages into structured templates (log parsing) i…

Read Paper →
Computer Science Preprint PDF DOI

Entangled happily ever after: Wedding reception seating mapped to classical and quantum optimizers

Karie A. Nicholas, Vikram Khipple Mulligan · 2026

Although optimization is one of the most promising applications of quantum computers, the development of effective optimization strategies requires real-world test cases. When planning our recent wedd…

Read Paper →
Computer Science Preprint PDF DOI

Mask-Free Privacy Extraction and Rewriting: A Domain-Aware Approach via Prototype Learning

Xiaodong Li, Yuhua Wang, Qingchen Yu, Zixuan Qin, Yifan Sun, Qinnan Zhang, Hainan Zhang, Zhiming Zheng · 2026

Client-side privacy rewriting is crucial for deploying LLMs in privacy-sensitive domains. However, existing approaches struggle to balance privacy and utility. Full-text methods often distort context,…

Read Paper →
Computer Science Preprint PDF DOI

MSAO: Adaptive Modality Sparsity-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference

Zheming Yang, Qi Guo, Jun Wan, Jiarui Ruan, Yunqing Hu, Chang Zhao, Xiangyang Li · 2026

Multimodal large language models (MLLMs) enable powerful cross-modal reasoning capabilities but impose substantial computational and latency burdens, posing critical challenges for deployment on resou…

Read Paper →
Computer Science Preprint PDF DOI

Non-Signaling Locality Lower Bounds for Dominating Set

Noah Fleming, Max Hopkins, Yuichi Yoshida · 2026

Minimum dominating set is a basic local covering problem and a core task in distributed computing. Despite extensive study, in the classic LOCAL model there exist significant gaps between known algori…

Read Paper →
Computer Science Preprint PDF DOI

A Simple Average-case Analysis of Recursive Randomized Greedy MIS

Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrovic · 2026

We revisit the complexity analysis of the recursive version of the randomized greedy algorithm for computing a maximal independent set (MIS), originally analyzed by Yoshida, Yamamoto, and Ito (2009). …

Read Paper →
Computer Science Preprint PDF DOI

Testing Sparse Functions over the Reals

Vipul Arora, Arnab Bhattacharyya, Philips George John, Sayantan Sen · 2026

Over the last three decades, function testing has been extensively studied over Boolean, finite fields, and discrete settings. However, to encode the real-world applications more succinctly, function …

Read Paper →
Computer Science Preprint PDF DOI

Dynamic Mask Enhanced Intelligent Multi-UAV Deployment for Urban Vehicular Networks

Gaoxiang Cao, Wenke Yuan, Yunpeng Hou, Huasen He, Quan Zheng, Jian Yang · 2026

Vehicular Ad Hoc Networks (VANETs) play a crucial role in realizing vehicle-road collaboration and intelligent transportation. However, urban VANETs often face challenges such as frequent link disconn…

Read Paper →
Computer Science Preprint PDF DOI

Cepstral Smoothing of Binary Masks for Convolutive Blind Separation of Speech Mixtures

Ibrahim Missaoui, Zied Lachiri · 2026

In this paper, we propose a novel separation system for extracting two speech signals from two microphone recordings. Our system combines the blind source separation technique with cepstral smoothing …

Read Paper →
Computer Science Preprint PDF DOI

Style-Instructed Mask-Free Virtual Try On

Mengqi Zhang, Qi Li, Mehmet Saygin Seyfioglu, Karim Bouyarmane · 2026

Virtual Try-On is a promising research area with broad applications in e-commerce and everyday life, enabling users to visualize garments on themselves or others before purchase. Most existing methods…

Read Paper →
Computer Science Preprint PDF DOI

An Effective Energy Mask-based Adversarial Evasion Attacks against Misclassification in Speaker Recognition Systems

Chanwoo Park, Chanwoo Kim · 2026

Evasion attacks pose significant threats to AI systems, exploiting vulnerabilities in machine learning models to bypass detection mechanisms. The widespread use of voice data, including deepfakes, in …

Read Paper →
Computer Science Preprint PDF DOI

Transmission Mask Analysis for Range-Doppler Sensing in Half-Duplex ISAC

Dikai Liu, Yifeng Xiong, Marco Lops, Fan Liu, Jianhua Zhang · 2026

In this paper, we analyze the periodic transmission masks for MASked Modulation (MASM) in half-duplex integrated sensing and communication (ISAC), and derive their closed-form expected range-Doppler r…

Read Paper →
Computer Science Preprint PDF DOI

The Secretary Problem with Predictions and a Chosen Order

Helia Karisani, Mohammadreza Daneshvaramoli, Hedyeh Beyhaghi, Mohammad Hajiesmaili, Cameron Musco · 2026

We study a learning-augmented variant of the secretary problem, recently introduced by Fujii and Yoshida (2023), in which the decision-maker has access to machine-learned predictions of candidate valu…

Read Paper →
Computer Science Preprint PDF DOI

AMBER: An Adaptive Multimodal Mask Transformer for Beam Prediction with Missing Modalities

Chenyiming Wen, Binpu Shi, Min Li, Ming-Min Zhao, Min-Jian Zhao, Jiangzhou Wang · 2025

With the widespread adoption of millimeter-wave (mmWave) massive multi-input-multi-output (MIMO) in vehicular networks, accurate beam prediction and alignment have become critical for high-speed data …

Read Paper →
Computer Science Preprint PDF DOI

Efficient and Private Property Testing via Indistinguishability

Cynthia Dwork, Pranay Tankala · 2025

Given a small random sample of $n$-bit strings labeled by an unknown Boolean function, which properties of this function can be tested computationally efficiently? We show an equivalence between prope…

Read Paper →
Computer Science Preprint PDF DOI

The Divine Software Engineering Comedy -- Inferno: The Okinawa Files

Michele Lanza · 2025

In June 2024 I co-organized the FUture of Software Engineering symposium in Okinawa, Japan. Me, Andrian Marcus, Takashi Kobayashi and Shinpei Hayashi were general chairs, Nicole Novielli, Kevin Moran,…

Read Paper →
Computer Science Preprint PDF DOI

One Size Fits All? A Modular Adaptive Sanitization Kit (MASK) for Customizable Privacy-Preserving Phone Scam Detection

Kangzhong Wang, Zitong Shen, Youqian Zhang, Michael MK Cheung, Xiapu Luo, Grace Ngai, Eugene Yujun Fu · 2025

Phone scams remain a pervasive threat to both personal safety and financial security worldwide. Recent advances in large language models (LLMs) have demonstrated strong potential in detecting fraudule…

Read Paper →
Computer Science Preprint PDF DOI

Dimension Mask Layer: Optimizing Embedding Efficiency for Scalable ID-based Models

Srijan Saket, Ikuhiro Ihara, Vaibhav Sharma, Danish Kalim · 2025

In modern recommendation systems and social media platforms like Meta, TikTok, and Instagram, large-scale ID-based features often require embedding tables that consume significant memory. Managing the…

Read Paper →
Computer Science Preprint PDF DOI

Sketching approximations and LP approximations for finite CSPs are related

Noah G. Singer, Madhur Tulsiani, Santhoshini Velusamy · 2025

We identify a connection between the approximability of CSPs in two models: (i) sublinear space streaming algorithms, and (ii) the basic LP relaxation. We show that whenever the basic LP admits an int…

Read Paper →
Page 1 of 14 Next →