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๐Ÿ” hai deng ๐Ÿ“‚ Computer Science
Showing 7478 results for "hai deng" in Computer Science
Computer Science Preprint PDF DOI

I hope we don't do to trust what advertising has done to love

Jade Alglave ยท 2026

Advertising uses love to sell stuff, like nylons. It also uses the word "love" in trivialising ways -- do you "love" your oven? When I hear about trust in the context of AI, especially agentic, I hopeโ€ฆ

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Examining discontinuance of AI-mediated informal digital learning of English (AI-IDLE) among university students: Evidence from SEM and fsQCA

Yiran Du, Huimin He ยท 2026

This study examined university students' discontinuance intention towards AI-mediated informal digital learning of English (AI-IDLE). Drawing on the cognition-affect-conation framework, the study inveโ€ฆ

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CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation

Yibiao Wei, Jie Zou, Pengfei Zhang, Xiao Ao, Weikang Guo, Zeyu Ma, Yang Yang ยท 2026

Generative recommendation frameworks typically represent items as discrete Semantic IDs (SIDs). While existing studies have sought to enhance SID construction by incorporating multimodal content, collโ€ฆ

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An Empirical Security Evaluation of LLM-Generated Cryptographic Rust Code

Mohamed Elsayed, Kenneth Fulton, Jeong Yang ยท 2026

Developers and organizations are using Large Language Models (LLMs) to generate security-critical code more frequently than ever, including cryptographic solutions for their products. This study preseโ€ฆ

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Designing and Evaluating Next-Generation Learning Interfaces: Linking AI, HCI, and the Learning Sciences

Meng Xia, Yan Chen, Qiao Jin, Yang Shi, Paul Denny, Tiffany Barnes, Qingsong Wen, Vincent Aleven ยท 2026

This workshop addresses this gap by bringing together researchers and practitioners from AI, HCI, and the learning sciences to explore how interactive systems can better support learning. We focus on โ€ฆ

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Author response to commentaries on H is for Human and How (Not) to Evaluate Qualitative Research in HCI

Andy Crabtree ยท 2026

This is the authors response to commentaries on the original article H is for Human and How (Not) to Evaluate Qualitative Research in HCI, https://doi.org/10.1080/07370024.2025.2475743 Commentaries weโ€ฆ

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Feature Anchors for Time-Series Sensor-Based Human Activity Recognition

Ruijie Yao, Chenhang Li, Danyang Zhuo, Tingjun Chen, Xiaoyue Ni ยท 2026

Wearable Human Activity Recognition (HAR) still lacks a representation that is both explicit and adaptable. Handcrafted time-series features (TSFs) capture meaningful motion statistics and remain compโ€ฆ

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Exploring Creativity in Human-Human-LLM Collaborative Software Design

Victoria Jackson, Grischa Liebel, Rafael Prikladnicki, Andre van der Hoek ยท 2026

While the use of Large Language Models (LLMs) in programming has been extensively studied, there is limited understanding of how LLMs support collaborative work where creativity plays a central role. โ€ฆ

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New Convex Programming Technique for Nash Social Welfare and Scheduling

Yuda Feng, Weijiang Hu, Shi Li ยท 2026

We propose a new convex programming relaxation for the weighted Nash social welfare (NSW) problem that achieves a matching $(e^{1/e}\approx 1.445)$-approximation via the rounding algorithm of Feng andโ€ฆ

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Automated Classification of Human Code Review Comments with Large Language Models

Semih Caglar, Sukru Eren Gok{i}rmak, Eray Tuzun ยท 2026

Context: Code reviews are essential for maintaining software quality, yet many human review comments suffer from issues such as redundancy, vagueness, or lack of constructiveness. These types of commeโ€ฆ

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On the Minimum Distances of Some Families of BCH Codes

Yaqi Chen, Hao Chen, Cunsheng Ding, Huimin Lao ยท 2026

BCH codes form an important class of cyclic codes, which have applications in communication and data storage systems. Although the BCH bound provides a lower bound on the minimum distance of BCH codesโ€ฆ

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Can Humans Detect AI? Mining Textual Signals of AI-Assisted Writing Under Varying Scrutiny Conditions

Daniel Tabach (Georgia Institute of Technology) ยท 2026

This study asks whether the threat of AI detection changes how people write with AI, and whether other people can tell the difference. In a two-phase controlled experiment, 21 participants wrote opiniโ€ฆ

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Well-Conditioned Oblivious Perturbations in Linear Space

Shabarish Chenakkod, Micha{l} Derezinski, Xiaoyu Dong, Mark Rudelson ยท 2026

Perturbing a deterministic $n$-dimensional matrix with small Gaussian noise is a cornerstone of smoothed analysis of algorithms [Spielman and Teng, JACM 2004], as it reduces the condition number of thโ€ฆ

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ArgRE: Formal Argumentation for Conflict Resolution in Multi-Agent Requirements Negotiation

Haowei Cheng, Milhan Kim, Chong Liu, Teeradaj Racharak, Truong Vinh Truong Duy, Phan Thi Huyen Thanh, Jialong Li, Naoyasu Ubayashi, Hironori Washizaki ยท 2026

As software systems grow in complexity, they must satisfy an increasing number of competing quality attributes, making it essential to balance them in a principled manner -- for example, a safety requโ€ฆ

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FixV2W: Correcting Invalid CVE-CWE Mappings with Knowledge Graph Embeddings

Sevval Simsek, Varsha Athreya, David Starobinski ยท 2026

Accurate mapping between Common Vulnerabilities and Exposures (CVE) and Common Weakness Enumeration (CWE) entries is critical for effective vulnerability management and risk assessment. However, publiโ€ฆ

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Ethics Testing: Proactive Identification of Generative AI System Harms

Shin Hwei Tan, Haibo Wang, Heng Li ยท 2026

Generative Artificial Intelligence (GAI) systems that can automatically generate content in the form of source code or other contents (e.g., images) has seen increasing popularity due to the emergenceโ€ฆ

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Causality and Semantic Separation

Anna Zhang, Qinglan Luo, London Bielicke, Eunice Jun, Adam Chlipala ยท 2026

The design of scientific experiments deserves its own variation of formal verification to catch cases where scientists made important mistakes, such as forgetting to take confounding variables into acโ€ฆ

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"If We Had the Information That We Need to Interpret the World Around Us, We Wouldn't Be Disabled:" Barriers and Opportunities in Information Work among Blind and Sighted Colleagues

Yichun Zhao, Miguel A. Nacenta, Mahadeo A. Sukhai, Sowmya Somanath ยท 2026

Despite recognition of the value of diversity, the way work takes place can fail to support blind or low-vision employees, especially in collaborative work settings. This paper examines how professionโ€ฆ

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Fresh Masking Makes NTT Pipelines Composable: Machine-Checked Proofs for Arithmetic Masking in PQC Hardware

Ray Iskander, Khaled Kirah ยท 2026

Post-quantum cryptographic (PQC) accelerators for ML-KEM (FIPS 203) and ML-DSA (FIPS 204) rely on pipelined Number Theoretic Transform (NTT) stages over $\mathbb{Z}_q$. Our prior work established struโ€ฆ

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Realistic Virtual Flood Experience System Using 360{\deg} Videos and 3D City Models Constructed from Building Footprints

Tatsuro Banno, Koki Kawada, Mizuki Takenawa, Masatoshi Denda, Kiyoharu Aizawa ยท 2026

Virtual flood experience systems, which enable users to vividly experience flooding, are attracting increasing attention as effective tools for communicating flood risks. However, existing systems typโ€ฆ

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