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๐Ÿ” fei liu ๐Ÿ“‚ Computer Science
Showing 3285 results for "fei liu" in Computer Science
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 ยท 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,โ€ฆ

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

Ignat Melnikov, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich ยท 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 contractโ€ฆ

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

Kathleen Gregory, Dorothea Strecker ยท 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 mโ€ฆ

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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 ยท 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 networksโ€ฆ

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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 ยท 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 appโ€ฆ

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Computer Science Preprint PDF DOI

LATTICE: Evaluating Decision Support Utility of Crypto Agents

Aaron Chan, Tengfei Li, Tianyi Xiao, Angela Chen, Junyi Du, Xiang Ren ยท 2026

We introduce LATTICE, a benchmark for evaluating the decision support utility of crypto agents in realistic user-facing scenarios. Prior crypto agent benchmarks mainly focus on reasoning-based or outcโ€ฆ

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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 ยท 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 iโ€ฆ

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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 ยท 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, highlightiโ€ฆ

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Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models

Nay Myat Min, Long H. Pham, Jun Sun ยท 2026

Large language models deployed at runtime can misbehave in ways that clean-data validation cannot anticipate: training-time backdoors lie dormant until triggered, jailbreaks subvert safety alignment, โ€ฆ

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Ablation and the Meno: Tools for Empirical Metamathematics

Zhengqin Fan, Simon DeDeo ยท 2026

We present the results from Meno, a simple autoformalizer that proves theorems in Lean by systematically exploring the space of both formal and informal proofs, and tactic ablation, a new method for eโ€ฆ

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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 ยท 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-โ€ฆ

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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 ยท 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, weโ€ฆ

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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 ยท 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 feedingโ€ฆ

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

Youngmok Park, Bumsu Park, Namyoon Lee ยท 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-Loโ€ฆ

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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 ยท 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 โ€ฆ

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

Alex Polyakov, Daniel Kuznetsov ยท 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 Involunโ€ฆ

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Computer Science Preprint PDF DOI

APRVOS: 1st Place Winner of 5th PVUW MeViS-Audio Track

Deshui Miao, Yameng Gu, Chao Yang, Xin Li, Haijun Zhang, Ming-Hsuan Yang ยท 2026

This report presents an Audio-aware Referring Video Object Segmentation (Ref-VOS) pipeline tailored to the MEVIS\_Audio setting, where the referring expression is provided in spoken form rather than aโ€ฆ

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Coordinatewise Balanced Covering for Linear Gain Graphs, with an Application to Coset-List Min-2-Lin over Powers of Two

Faruk Alpay, Levent Sarioglu ยท 2026

We study a list-constrained extension of modular equation deletion over powers of two, called Coset-List Min-2-Lin$^{\pm}$ over $\mathbb{Z}/2^d\mathbb{Z}$. Each variable is restricted to a dyadic coseโ€ฆ

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Computer Science Preprint PDF DOI

Trust, but Verify: ByzTwin-Range, a Digital Twin Cyber-Range for Byzantine Faults

Tadeu Freitas, Joao Soares, Rolando Martins ยท 2026

Critical infrastructures increasingly rely on interconnected and software-driven Cyber-Physical Systems (CPS), exposing operational processes to both accidental failures and sophisticated adversarial โ€ฆ

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Peeling Rotten Potatoes for a Faster Approximation of Convex Cover

Omrit Filtser, Tzalik Maimon, Ofir Yomtovyan ยท 2026

The minimum convex cover problem seeks to cover a polygon $P$ with the fewest convex polygons that lie within $P$. This problem is $\exists\mathbb R$-complete, and the best previously known algorithm,โ€ฆ

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