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🔍 fei wang 📂 Computer Science
Showing 4825 results for "fei wang" in Computer Science
Computer Science Preprint PDF DOI

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption

Yanting Wang, Chenlong Yin, Ying Chen, Jinyuan Jia · 2026

Long-context large language models (LLMs)-for example, Gemini-3.1-Pro and Qwen-3.5-are widely used to empower many real-world applications, such as retrieval-augmented generation, autonomous agents, a…

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Computer Science Preprint PDF DOI

Characterizing Path-Independent Fees: A Route to Zero Impermanent Loss in CPMMs

Andrey Voronin, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich · 2026

Constant Product Market Makers use fees that are typically fixed proportions of trade size. When these fees are automatically reinvested into the pool, as in Uniswap~V2 and some designs of Uniswap V4,…

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Computer Science Preprint PDF DOI

From Impermanent Loss to Sustainable Gain: Quantifying Profitability Zones for Liquidity Providers on DEX

Ignat Melnikov, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich · 2026

Decentralized Finance (DeFi) is a rapidly evolving segment of blockchain technology that enables a transformative approach to financial services through Web3 applications. By leveraging smart contract…

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Computer Science Preprint PDF DOI

Why Self-Supervised Encoders Want to Be Normal

Yuval Domb · 2026

We develop a geometric and information-theoretic framework for encoder-decoder learning built on the Information Bottleneck (IB) principle. Recasting IB as a rate-distortion problem with Kullback-Leib…

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Computer Science Preprint PDF DOI

Thinking like a business: Reconfiguring relationships to sustain open data infrastructures

Kathleen Gregory, Dorothea Strecker · 2026

Sustaining open data infrastructures over time is a complex puzzle, involving dynamic funding models and relationships with customers, collaborators, and competitors. Despite their importance, these m…

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Computer Science Preprint PDF DOI

ReVo: A Cross-Layer Reliable Volumetric Videoconferencing System

Ankur Aditya, Diptyaroop Maji, Lingdong Wang, Bhavya Ramakrishna, Ramesh Sitaraman, Prashant Shenoy · 2026

Volumetric videoconferencing enables immersive six Degrees of Freedom interactions by jointly transmitting visual appearance and 3D geometry. However, delivering volumetric video over today's networks…

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Computer Science Preprint PDF DOI

Few-Shot Accent Synthesis for ASR with LLM-Guided Phoneme Editing

Yurii Halychanskyi, Nimet Beyza Bozdag, Mark Hasegawa-Johnson, Dilek Hakkani-Tur, Volodymyr Kindratenko · 2026

Accented automatic speech recognition (ASR) often degrades due to the limited availability of accented training data. Prior work has explored accent modeling in low-resource settings, but existing app…

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Computer Science Preprint PDF DOI

The Nesting Bird Box Problem is ER-complete: Sharp Hardness Results for the Hidden Set Problem

Lucas Meijer, Till Miltzow, Johanna Ockenfels, Milos Stojakovic · 2026

In the (Nesting) Bird Box Problem we are given a polygonal domain P and a number k and we want to know if there is a set B of k points inside P such that no two points in B can see each other. The und…

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Computer Science Preprint PDF DOI

On (In)approximability of MaxMin Independent Set Reconfiguration

Hung P. Hoang, Naoto Ohsaka, Rin Saito, Yuma Tamura · 2026

In the Independent Set Reconfiguration problem under the Token Addition/Removal rule, given a graph $G$ and two independent sets $I$ and $J$ of $G$, we want to transform $I$ into $J$ by adding and rem…

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Computer Science Preprint PDF DOI

Fast and Faithful Edge Bundling using Spectral Sparsification

Xingjue Jiang, Seok-Hee Hong, Amyra Meidiana, Xianyuan Zeng · 2026

Edge bundling reduces the visual complexity of drawings of large and complex graphs by clustering "compatible" edges. However, it often introduces distortion by bundling "unrelated" edges, resulting i…

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Computer Science Preprint PDF DOI

SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing?

Noam Tarshish, Nofar Selouk, Daniel Hodisan, Bar Ezra Gafniel, Yuval Elovici, Asaf Shabtai, Eliya Nachmani · 2026

Instructed code editing is a significant challenge for large language models (LLMs). On the EditBench benchmark, 39 of 40 evaluated models obtain a task success rate (TSR) below 60 percent, highlighti…

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Computer Science Preprint PDF DOI

Secure Conformance Checking using Token-based Replay and Homomorphic Encryption

Luis-Armando Rodriguez-Flores, Luciano Garcia-Banuelos, Abel Armas-Cervantes, Astrid-Monserrat Rivera-Partida · 2026

Conformance checking, one of the main process mining operations, aims to identify discrepancies between a process model and an event log. The model represents the expected behaviour, whereas the event…

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Computer Science Preprint PDF DOI

A more versatile model for enumerative kernelization: a case study for Vertex Cover

Marin Bougeret, Guilherme C. M. Gomes, Ignasi Sau · 2026

Enumerative kernelization is a recent promising at the intersection of parameterized complexity and enumeration algorithms, with two proposed models. The first, known as enum-kernels and due to Creign…

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Computer Science Preprint PDF DOI

Catheter Monitoring in Intelligent Endovascular Navigation Systems: Interactive Simulations and Mixed Reality for Enhanced Navigational Awareness

Veronica Ruozzi, Giovanni Battista Regazzo, Maria Chiara Palumbo, Wim-Alexander Beckers, Mouloud Ourak, Xiu Zhang, Francesca Perico, Alessandro Caimi, Emmanuel Vander Poorten, Emiliano Votta · 2026

Purpose: Developing and testing a framework that integrates real-time catheter shape reconstruction, interactive simulations, and mixed reality visualization to enable accurate monitoring of catheter-…

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Computer Science Preprint PDF DOI

Evaluating LLM-Based Goal Extraction in Requirements Engineering: Prompting Strategies and Their Limitations

Anna Arnaudo, Riccardo Coppola, Maurizio Morisio, Flavio Giobergia, Andrea Bioddo, Angelo Bongiorno, Luca Dadone · 2026

Due to the textual and repetitive nature of many Requirements Engineering (RE) artefacts, Large Language Models (LLMs) have proven useful to automate their generation and processing. In this paper, we…

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Computer Science Preprint PDF DOI

ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression

Xiaojie Ke, Shuai Zhang, Liansheng Sun, Yongjin Wang, Hengjun Jiang, Xiangkun Liu, Cunxin Gu, Jian Xu, Guanjun Jiang · 2026

Large language model (LLM) based listwise reranking has emerged as the dominant paradigm for achieving state-of-the-art ranking effectiveness in information retrieval. However, its reliance on feeding…

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Computer Science Preprint PDF DOI

CSI Feedback Under Basis Mismatch: Rate-Splitting Transform Coding for FDD Massive MIMO

Youngmok Park, Bumsu Park, Namyoon Lee · 2026

In frequency division duplex massive multiple-input multiple-output systems, downlink channel state information must be fed back within a limited uplink budget. While transform coding with Karhunen-Lo…

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Computer Science Preprint PDF DOI

Interconnecting Regional QKD Networks: Hybrid Key Delivery Across Quantum Domains

David Barral, Aitor Brazaola-Vicario, Diego Cifrian, Natalia Costas, Gonzalo Blazquez, Ana Fernandez-Vilas, Iago F. Llovo, Pedro Otero-Garcia, Pablo P. Rejo, Alejandra Ruiz, Juan Villasuso, Manuel Fernandez-Veiga · 2026

QKD technology is being increasingly adopted inside the network core for protecting information transport against any form of computational attacks. However, the use of QKD for wide-area internetworki…

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Computer Science Preprint PDF DOI

EnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads

Kyungmi Lee, Zhiye Song, Eun Kyung Lee, Xin Zhang, Tamar Eilam, Anantha P. Chandrakasan · 2026

As AI workloads drive increases in datacenter power consumption, accurate GPU power estimation is critical for proactive power management. However, existing power models face a scalability bottleneck …

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Computer Science Preprint PDF DOI

Involuntary In-Context Learning: Exploiting Few-Shot Pattern Completion to Bypass Safety Alignment in GPT-5.4

Alex Polyakov, Daniel Kuznetsov · 2026

Safety alignment in large language models relies on behavioral training that can be overridden when sufficiently strong in-context patterns compete with learned refusal behaviors. We introduce Involun…

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