Digital Commons Network^™

Interconnections Of Insulin/Igf-1 Signaling And Autophagy Abnormalities In Alzheimer’S Disease, Wang Liao, Jinfeng Xuan, Woo-In Ryu, Mariana K Bormann, Yoon Lee, Haley Dion, Elizabeth Evangelista, Ruiyi Li, Lucas Trambaiolli, Jun Liu, Arthur J Siegel, Brent P Forester, Bruce M Cohen, Kai-Christian Sonntag

Faculty, Staff and Student Publications

Introduction: Impaired insulin (INS) and insulin-like growth factor 1 (IGF-1) signaling are features of both brain aging and late-onset Alzheimer's disease (LOAD). However, their exact underlying mechanisms and cause-and-effect linkages, including the downstream regulation of endocytosis and autophagy, are still not well understood.

Methods: We investigated INS/IGF-1 signaling and its connection with endocytic and autophagic processes in fibroblasts from LOAD patients and healthy young or old control individuals.

Results: Compared to control old-age cells, protein levels in the INS/IGF-1 signaling cascade were elevated in LOAD cells, but activation of AKT was reduced. The activation of the INS/IGF-1/AKT/FOXO1 or mTOR axes …

Efficacy And Safety Of Mechanical Thrombectomy In Distal Medium Middle Cerebral Artery Occlusion Ischemic Stroke Patients On Low-Dose Aspirin, Hamza Adel Salim, Vivek Yedavalli, Fathi Milhem, Basel Musmar, Nimer Adeeb, Motaz Daraghma, Kareem El Naamani, Nils Henninger, Sri Hari Sundararajan, Anna Luisa Kühn, Jane Khalife, Sherief Ghozy, Luca Scarcia, Benjamin Yq Tan, Robert W Regenhardt, Jeremy J Heit, Nicole M Cancelliere, Joshua D Bernstock, Aymeric Rouchaud, Jens Fiehler, Sunil Sheth, Ajit S Puri, Christian Dyzmann, Marco Colasurdo, Leonardo Renieri, João Pedro Filipe, Pablo Harker, Răzvan Alexandru Radu, Mohamad Abdalkader, Piers Klein, Thomas R Marotta, Julian Spears, Takahiro Ota, Ashkan Mowla, Pascal Jabbour, Arundhati Biswas, Frédéric Clarençon, James E Siegler, Thanh N Nguyen, Ricardo Varela, Amanda Baker, Muhammed Amir Essibayi, David Altschul, Nestor R Gonzalez, Markus A Möhlenbruch, Vincent Costalat, Benjamin Gory, Christian Paul Stracke, Constantin Hecker, Hamza Shaikh, Christoph J Griessenauer, David S Liebeskind, Alessandro Pedicelli, Andrea M Alexandre, Illario Tancredi, Tobias D Faizy, Erwah Kalsoum, Max Wintermark, Boris Lubicz, Aman B Patel, Vitor Mendes Pereira, Adrien Guenego, Adam A Dmytriw

Faculty, Staff and Student Publications

Background: Acute ischemic stroke (AIS) from distal medium vessel occlusion (DMVO) presents unique treatment challenges. Mechanical thrombectomy (MT) is emerging as a viable option for these patients, yet the role of pre-stroke aspirin treatment is unclear. This study evaluates the impact of pre-stroke low-dose aspirin on outcomes in DMVO patients undergoing MT.

Methods: We conducted a multinational, multicenter, propensity score-weighted analysis within the Multicenter Analysis of primary Distal medium vessel occlusions: effect of Mechanical Thrombectomy (MAD-MT) registry. Patients with AIS due to DMVO, treated with MT, were included. We compared outcomes between patients on pre-stroke low-dose aspirin (75-100 mg) and …

Effect Of The Cervical Lesion Severity On Procedural And Clinical Outcomes After Endovascular Treatment Of Acute Tandem Lesions: A Multicenter Study, Milagros Galecio-Castillo, Mudassir Farooqui, Ameer E Hassan, Mouhammad A Jumaa, Afshin A Divani, Marc Ribo, Michael Abraham, Nils H Petersen, Johanna T Fifi, Waldo R Guerrero, Amer M Malik, Thanh N Nguyen, Sunil A Sheth, Albert J Yoo, Guillermo Linares, Nazli Janjua, Michael Dubinsky, Darko Quispe-Orozco, Wondwossen Tekle, Syed F Zaidi, Sara Y Sabbagh, Marta Olive-Gadea, Tiffany Barkley, Reade A De Leacy, Mohamad Abdalkader, Sergio Salazar-Marioni, Jazba Soomro, Weston Gordon, Charoskhon Turabova, Leonardo Cruz-Criollo, Piyush Kalakoti, Maxim Mokin, Dileep R Yavagal, Tudor G Jovin, Santiago Ortega-Gutierrez

Faculty, Staff and Student Publications

Background: Tandem lesions pose unique challenges in the endovascular treatment of acute ischemic stroke. We aimed to compare the clinical and procedural outcomes of patients with tandem lesions and extracranial internal carotid artery (ICA) complete occlusion versus those with moderate to severe stenosis.

Methods: This is a subanalysis of a multicenter cohort of patients with acute anterior circulation tandem lesions treated with intracranial mechanical thrombectomy and carotid artery stenting, between January 2015 and December 2020. The patients were categorized into 2 groups: extracranial ICA stenosis >70% to 99% and complete occlusion. Outcomes included successful and excellent recanalization, functional independence, symptomatic …

Endovascular Therapy For Late-Window M2-Segment Middle Cerebral Artery Occlusion: Analysis Of The Clear Study, Simon Winzer, Daniel P O Kaiser, Muhammad M Qureshi, Alicia C Castonguay, Daniel Strbian, Raul G Nogueira, Simon Nagel, Jean Raymond, Mohamad Abdalkader, Jelle Demeestere, João Pedro Marto, Hiroshi Yamagami, Kanta Tanaka, Sunil A Sheth, Anne Dusart, Patrik Michel, Marta Olive Gadea, Marc Ribo, Osama O Zaidat, Diogo C Haussen, Hilde Henon, Mahmoud H Mohammaden, Markus A Möhlenbruch, James E Siegler, Ajit S Puri, Johannes Kaesmacher, Piers Klein, Liisa Tomppo, Francois Caparros, João Nuno Ramos, Mouhammad Jumaa, Syed Zaidi, Nicolas Martinez-Majander, Stefania Nannoni, Lieselotte Vandewalle, Flavio Bellante, Milagros Galecio-Castillo, Sergio Salazar-Marioni, Pekka Virtanen, Anke Wouters, Rita Ventura, Jessica Jesser, Adnan Mujanovic, Liqi Shu, Abiya Qureshi, Zhongming Qiu, Hesham E Masoud, Manuel Requena, Mikko Sillanpää, Wei Hu, Eugene Lin, Charlotte Cordonnier, Daniel Roy, Shadi Yaghi, Davide Strambo, Urs Fischer, Santiago Ortega-Gutierrez, Robin Lemmens, Peter A Ringleb, Thanh N Nguyen, Volker Puetz

Faculty, Staff and Student Publications

Background: There is uncertainty about whether patients with M2 occlusion benefit from endovascular therapy (EVT) in the late (6-24-hour) time window. We evaluated the clinical outcomes of patients with M2 occlusion selected for EVT compared with those who received medical management (MM) in the late window.

Methods: This multinational cohort study was conducted at 66 sites across 10 countries (January 2014 to May 2022). We included consecutive patients with late-window stroke due to M2 occlusion, baseline National Institutes of Health Stroke Scale score of ≥5, and premorbid modified Rankin Scale score of ≤2 who received EVT or MM alone. The …

Hernia Recurrence Risk Matters More Than Mesh Type To Patients Undergoing Ventral Hernia Repair, Stephanie Martinez Ugarte, Mokunfayo O Fajemisin, Chelsea J Guy-Frank, Dalya M Ferguson, Jonah J Stulberg, Lillian S Kao, Julie L Holihan

Faculty, Staff and Student Publications

Introduction: Patients' perceptions about synthetic mesh for ventral hernia repair (VHR) may stem from a lack of knowledge of risks. We assessed patients' threshold for accepting the risk of hernia recurrence to avoid synthetic mesh.

Methods: Patients ≥18 y old with prior or upcoming VHR viewed a one-time video decision aid describing recurrence risk with biologic versus synthetic mesh. Patients chose between these options using a probability trade-off (PTO) technique, varying hernia recurrence rate with biologic mesh. Based on randomized trials, the recurrence rate using synthetic mesh was 9%. The PTO score was the recurrence rate (0%-100%) at which patients …

A Case Of Aqp4-Igg Neuromyelitis Optica Presenting With Orbital Inflammatory Syndrome, Lucy A Bailey, Roy F Riascos, Ore-Ofe O Adesina

Faculty, Staff and Student Publications

A 45-year-old healthy African-American man experienced 2 months of right-eye soreness followed by acute onset of right painful vision loss with binocular, oblique diplopia. Visual acuity was count fingers OD and 20/20 OS. He had a partial, right, pupil-involving cranial nerve III palsy with a right relative afferent pupillary defect and optic disc edema with tortuous vessels. Magnetic resonance imaging showed increased T2 signal with tortuosity and thickening of the retrobulbar right optic nerve with associated restricted diffusion and enhancement, enhancement of orbital fat adjacent to the optic nerve sheath, and relative right proptosis. Workup was positive for aquaporin-4 antibody …

The Effect Of Anterior Closing Wedge Slope-Reducing Osteotomy On Coronal Alignment-Effect Of Osteotomy Technique, Starting Point, And Degree Of Correction., James Matthew Helm, Mark Coggins, Brian Crowley, Maile Curbo, Jacob Siahaan, Alexis Aboulafia, Alfred A Mansour

Faculty, Staff and Student Publications

Background: Techniques for anterior closing wedge slope-reducing osteotomy (ACW-SRO) remain variable regarding management of the tibial tubercle and osteotomy starting point. Moreover, the potential unintended effect on coronal alignment has not yet been determined.

Purpose: To determine the effect of the ACW-SRO technique and starting point on coronal alignment in knees with an elevated posterior tibial slope (PTS).

Study design: Descriptive laboratory study.

Methods: Full-length lower extremity computed tomography scans were retrospectively reviewed in patients presenting to our level 1 trauma center to identify patients with an elevated PTS of ≥12° without secondary trauma to the lower extremity. Materialise software …

A Recipe For Disaster - Sodium Bicarbonate Overdose

Faculty, Staff and Student Publications

Audience: Emergency medicine residents post-graduate years 1-4.

Introduction: Sodium bicarbonate is a compound found commonplace in many households and in many products. It lends itself to countless everyday uses including cooking and cleaning. Physicians prescribe sodium bicarbonate regularly both on- and off-label regularly for various ailments.1 Due to the ubiquitous way both emergency physicians and the general public use and are exposed to sodium bicarbonate, we wanted to prepare learners to identify and appropriately manage sodium bicarbonate toxicity.Obtaining a thorough history not just of medications prescribed but of significant ingestions or infusions is critical in diagnosing this toxicity. Furthermore, acute …

Ten Practical Tips For A Successful Presentation At An Infectious Disease Clinical Case Conference

Faculty, Staff and Student Publications

This mini-review provides 10 practical tips for infectious disease trainees presenting at clinical case conferences. These tips, grounded in principles from education theory, aim to enhance the effectiveness of case presentations.

Cdemapper: Enhancing National Institutes Of Health Common Data Element Use With Large Language Models, Yujia Zhou, Xubing Hao, Pritham Ram, Lingfei Qian, Qianqian Xie, Ruey-Ling Weng, Fongci Lin, Yan Hu, Licong Cui, Xiaoqian Jiang, Hua Xu, Na Hong

Faculty, Staff and Student Publications

Objective: Common Data Elements (CDEs) standardize data collection and sharing across studies, enhancing data interoperability and improving research reproducibility. However, implementing CDEs presents challenges due to the broad range and variety of data elements. This study aims to develop a CDE mapping tool to bridge the gap between local data elements and National Institutes of Health (NIH) CDEs.

Methods: We propose CDEMapper, a large language model (LLM)-powered mapping tool designed to assist in mapping local data elements to NIH CDEs. CDEMapper has 3 core modules: (1) CDE indexing and embeddings. NIH CDEs were indexed and embedded to support semantic search; …

Evaluating Large Language Model Performance To Support The Diagnosis And Management Of Patients With Primary Immune Disorders, Cullen Dutmer, Jocelyn R Farmer, Kirk Roberts, Guergana Savova, Mei-Sing Ong

Faculty, Staff and Student Publications

Background: Generative artificial intelligence (GAI) is transforming health care in a variety of ways; however, the present utility of GAI for supporting clinicians who treat rare disease such as primary immune disorders (PIs) is not well studied. We evaluated the ability of 6 state-of-the-art large language models (LLMs) for providing clinical guidance about PIs.

Objective: To quantitatively and qualitatively measure the utility of current, open-source LLMs for diagnosing and providing helpful clinical decision support about PIs.

Methods: Five expert clinical immunologists each provided 5 real-world, anonymized PI case vignettes via multi-turn prompting to 6 LLMs (OpenAI GPT-4o, Llama-3.1-8B-Instruct, Llama-3.1-70B-Instruct, Mistral-7B-Instruct-v0.3, …

Visualizing Seascapes As A Method For Engaging Stakeholders In Discussions About Resilience, Dominica Williamson, Louisa Evans, Mark Bryant, Caroline Hattam, Tara Hooper, Andy Hughes, Timur Jack-Kadioglu, Fazlun Khalid, John Martin, Celine Miternique, Karyn Morrissey, Lorna Slade, Ali Thani, Kathy Young

Professional Services

Coastal communities have complex bodies of knowledge around environmental change, resilience, and sustainability, which extractive forms of research are not well suited to understand. This paper outlines an arts-based action research pilot project to understand social-ecological resilience in the Western Indian Ocean. Our project used visual, artistic, and participatory approaches to foster co-learning and action research on: (1) the arts-based methods themselves and (2) resilience building in coastal communities and ecosystems. This paper focuses on the former elements. We present our inherently phenomenological approach as a research assemblage that can be used to bring together different communities and stakeholders, disciplines, …

Pre-Registration Student Nurses' Evaluation After Enrolling On To A 4-Week Art Workshop ​, Hazel Cowls, Chloe Weekes-Dyer

School of Nursing and Midwifery

No abstract provided.

Aesthetic Judgment: Considering A Contemporary Standard Of Taste, Lydia Margaret Lee

Theses and Dissertations

Originally published in 1757 as part of his Four Dissertations essay collection, David Hume’s essay, “Of the Standard of Taste,” occupies a prominent place in Enlightenment aesthetic studies. Due to an oversaturation of print materials being produced, eighteenth century society was concerned with evaluating and ranking the massive quantities of art being produced. Philosophers such as David Hume attempted to define criteria for determining a standard of taste, aiming to hierarchically rank works of art based on aesthetic experience. For centuries, critics such as Timothy Costelloe, Noel Carroll, David Marshall, Jonathan Friday, James Shelley, and many others have engaged in …

Improving Professional Learning Communities (Plcs) For Singletons, Stephanie Harbulak-Barron

Theses and Dissertations

Participation in professional learning is generally recognized as a required component of the teaching profession. One type of professional learning is professional learning communities (PLCs). However, there are challenges to implementing successful PLCs that result in relevant professional learning. One challenge is non-standard PLC groupings that contain singletons, especially when those PLC groups are primarily all singletons. This action research study examined educators’ and administrators’ expectations of and experiences with PLCs in a special education cooperative in the Midwest. The goal of the mixed methods research design was to gather enough information from participants to facilitate the creation of an …

Clinico-Epidemiological Characteristics Of Cerebral Venous Sinus Thrombosis In Kenya: A Retrospective Case Series, Taby Siika, Jaskirat Sokhi, Juzar Hooker, Sheila Waa, Anne Mwirigi, Jasmit Shah, Dilraj Sokhi

Internal Medicine, East Africa

Background: Cerebral venous sinus thrombosis (CVST) is a rare cause of stroke that is more common in young, especially female, adults and can be challenging to diagnose due to its frequently non-specific presentation and diverse risk factors. Most cases are idiopathic, and international guidelines do not recommend routine investigations for underlying thrombophilia. Timely diagnosis, with prompt neuroimaging and guideline-based treatment, leads to good outcomes. However, in the literature on CVST from sub-Saharan Africa, the gap is substantial, with the few cases described as being related to systemic and/or brain infections. We describe here the largest cohort of CVST from the …

The B2biers System: A Content-Based Perspective On Maximizing Influence And Subscription In Social Networks, Konstantinos Theocharidis, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

The popular problem of Influence Maximization (IM) asks for the k users who can maximize the influence of a fixed post in a social network. In contrast, the problem of Content- Aware Influence Maximization (CAIM) asks for the k features to form a viral tunable post in a social network starting its diffusion from a fixed set of initial adopters. CAIM paves the way for a number of novel problems to be studied that altogether can lead to the development of a system that would be valuable for advertisers who manage social network pages. This holds since features (brands) in …

An On-The-Fly Synthesis Framework For Ltl Over Finite Traces, Shengping Xiao, Yongkang Li, Shufang Zhu, Jun Sun, Jianwen Li, Geguang Pu, Moshe Vardi

Research Collection School Of Computing and Information Systems

We present an on-the-fly synthesis framework for Linear Temporal Logic over finite traces (LTLf) based on top-down deterministic automata construction. Existing approaches rely on constructing a complete Deterministic Finite Automaton (DFA) corresponding to the LTLf specification, a process with doubly exponential complexity relative to formula size in the worst case. In this case, the synthesis cannot be conducted until the entire DFA is constructed. This inefficiency is the main bottleneck of existing approaches. To address this challenge, we first present a method for converting LTLf into Transition-based DFA (TDFA) by directly leveraging LTLf semantics, incorporating intermediate results as direct components …

Efficient Prompt Tuning For Hierarchical Ingredient Recognition, Yinxuan Gui, Bin Zhu, Jingjing Chen, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Fine-grained ingredient recognition presents a significant challenge due to the diverse appearances of ingredients, resulting from different cutting and cooking methods. While existing approaches have shown promising results, they still require extensive training costs and focus solely on fine-grained ingredient recognition. In this paper, we address these limitations by introducing an efficient prompt-tuning framework that adapts pretrained visual-language models (VLMs), such as CLIP, to the ingredient recognition task without requiring full model finetuning. Additionally, we introduce three-level ingredient hierarchies to enhance both training performance and evaluation robustness. Specifically, we propose a hierarchical ingredient recognition task, designed to evaluate model performance …

Dual-Target Disjointed Cross-Domain Recommendation Mediated Via Latent User Preferences, Dinh Hieu Do, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Users often navigate multiple platforms online, each characterized by its own set of scarce data. Recommender systems face a significant challenge in such fragmented environments. This paper proposes a novel approach to enhance recommendation systems by leveraging connections across distinct yet conceptually similar datasets from multiple platforms. We introduce a unique scenario of dual-target overlapping-free cross-platform recommendation, presenting a bridging mechanism to mutually improve across platforms and learn latent user preferences. Our approach addresses the data sparsity prevalent in each platform and enhances recommendation quality by harnessing redundant, rich, and similar domain data. Experiments validate the effectiveness of our method, …

Advancing Food Nutrition Estimation Via Visual-Ingredient Feature Fusion, Huiyan Qi, Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Nutrition estimation is an important component of promoting healthy eating and mitigating diet-related health risks. Despite advances in tasks such as food classification and ingredient recognition, progress in nutrition estimation is limited due to the lack of datasets with nutritional annotations. To address this issue, we introduce FastFood, a dataset with 84,446 images across 908 fast food categories, featuring ingredient and nutritional annotations. In addition, we propose a new model-agnostic Visual-Ingredient Feature Fusion (VIF2 ) method to enhance nutrition estimation by integrating visual and ingredient features. Ingredient robustness is improved through synonym replacement and resampling strategies during training. The ingredient-aware …

Hps: Hard Preference Sampling For Human Preference Alignment, Xiandong Zou, Wanyu Lin, Yuchen Li, Pan Zhou

Research Collection School Of Computing and Information Systems

Aligning Large Language Model (LLM) responses with human preferences is vital for building safe and controllable AI systems. While preference optimization methods based on PlackettLuce (PL) and Bradley-Terry (BT) models have shown promise, they face challenges such as poor handling of harmful content, inefficient use of dispreferred responses, and, specifically for PL, high computational costs. To address these issues, we propose Hard Preference Sampling (HPS), a novel framework for robust and efficient human preference alignment. HPS introduces a training loss that prioritizes the most preferred response while rejecting all dispreferred and harmful ones. It emphasizes “hard” dispreferred responses — those …

An Incentive Mechanism For Privacy Preserved Data Trading With Verifiable Data Disturbance, Man Zhang, Xinghua Li, Bin Luo, Yanbing Ren, Yinbin Miao, Ximeng Liu, Robert H. Deng

Research Collection School Of Computing and Information Systems

To motivate data owners’ (DOs’) trading willingness, the existing incentive mechanisms allow DOs to independently disturb data following data consumer's (DC’s) availability requirement. However, they cannot motivate DOs’ honest disturbance, which is attributed to DOs’ independent disturbance without any supervision. Thus, we implement an incentive mechanism for privacy preserved data trading with verifiable data disturbance where an honest-but-curious disturbance generator (DG) is additionally introduced to supervise DOs’ local disturbance and assist disturbance verification between DOs and DC. Specifically, DG generates the disturbance strategies and secretly distributes to DOs following private information retrieval, guaranteeing DOs's local disturbance's privacy and verifiability with …

Sanitizable Cross-Domain Access Control With Policy-Driven Dynamic Authorization, Jianfei Sun, Guowen Xu, Hongwei Li, Tianwei Zhang, Cong Wu, Xuehuan Yang, Robert H. Deng

Research Collection School Of Computing and Information Systems

The increasing demand for secure and efficient data sharing has underscored the importance of developing robust cryptographic schemes. However, many existing endeavors have overlooked the following critical issues: (1) unauthorized access resulting from malicious information leakage by senders; (2) absence of constraints on write and read permissions for participants; (3) and inflexibility of strategies to dynamically designate ciphertexts to multiple recipients. In this paper, we present SCPA, a cross-domain access control scheme imbued with sanitization features and propelled by policy-driven dynamic authorization, tailored for cloud-based data sharing. This scheme not only facilitates access controls, including regulations for no-read and no-write …

Understanding The Bad Development Practices Of Android Custom Permissions In The Wild, Xiaohan Zhang, Zhiyuan Yu, Xinghua Li, Cen Zhang, Cong Sun, Ning Zhang, Robert H. Deng

Research Collection School Of Computing and Information Systems

Android system provides application developers with the ability to define custom permissions, which serve to moderate the sharing of resources and interactions with other applications. However, poor development practices of developers can render the permission mechanism ineffective, weakening the system protection. This paper presents a comprehensive examination of the problematic practices surrounding custom permissions employed by developers, referred to as Bad Practices of Custom Permissions (BPCP issues). To accomplish this, we conducted an empirical study and identified nine common BPCP issue patterns that can lead to various adverse consequences, such as installation failures, crashes, or even component hijacking. To automatically …

Unambiguous Granularity Distillation For Asymmetric Image Retrieval, Hongrui Zhang, Yi Xie, Haoquan Zhang, Cheng Xu, Xuandi Luo, Donglei Chen, Xuemiao Xu, Huaidong Zhang, Pheng Ann Heng, Shengfeng He

Research Collection School Of Computing and Information Systems

Previous asymmetric image retrieval methods based on knowledge distillation have primarily focused on aligning the global features of two networks to transfer global semantic information from the gallery network to the query network. However, these methods often fail to effectively transfer local semantic information, limiting the fine-grained alignment of feature representation spaces between the two networks. To overcome this limitation, we propose a novel approach called Layered-Granularity Localized Distillation (GranDist). GranDist constructs layered feature representations that balance the richness of contextual information with the granularity of local features. As we progress through the layers, the contextual information becomes more detailed, …

An Efficient Diffusion-Based Non-Autoregressive Solver For Traveling Salesman Problem, Mingzhao Wang, You Zhou, Zhiguang Cao, Yubin Xiao, Xuan Wu, Wei Pang, Yuan Jiang, Hui Yang, Peng Zhao, Yuanshu Li

Research Collection School Of Computing and Information Systems

Recent advances in neural models have shown considerable promise in solving Traveling Salesman Problems (TSPs) without relying on much hand-crafted engineering. However, while non-autoregressive (NAR) approaches benefit from faster inference through parallelism, they typically deliver solutions of inferior quality compared to autoregressive ones. To enhance the solution quality while maintaining fast inference, we propose DEITSP, a diffusion model with efficient iterations tailored for TSP that operates in a NAR manner. Firstly, we introduce a one-step diffusion model that integrates the controlled discrete noise addition process with self-consistency enhancement, enabling optimal solution prediction through simultaneous denoising of multiple solutions. Secondly, we …

Milpbench: A Large-Scale Benchmark Test Suite For Mixed Integer Linear Programming Problems, Huigen Ye, Yaoyang Cheng, Hua Xu, Zhiguang Cao, Hanzhang Qin

Research Collection School Of Computing and Information Systems

Mixed-integer linear programming (MILP) is a cornerstone of optimization with applications across numerous domains. However, the development and evaluation of MILP-solving algorithms are hindered by existing benchmark datasets, which are often limited in scale, lack diversity, and are poorly structured, making them inadequate for systematic testing across different solving approaches, especially for machine learning (ML)-based methods. To address these issues, we introduce MILPBench, a large-scale benchmark suite comprising 100,000 MILP instances organized into 60 well-categorized classes. Using structural properties and embedding similarity metrics, we developed a novel classification framework to ensure both intra-class homogeneity and inter-class diversity. In addition to …

Collaboration With Dynamic Open Ad Hoc Team Via Team State Modelling, Jing Sun, Cong Zhang, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Open ad hoc teamwork presents the challenging problem of designing an autonomous agent that can rapidly adapt to collaborate with teammates without prior coordination in an open environment. Existing methods primarily rely on fixed, predefined teammate types, overlooking the fact that teammates may change dynamically. To address this limitation, we propose a novel reinforcement learning approach, the Open Online Teammate Adaptation Framework (Open-OTAF), which enables a controlled agent to collaborate with dynamic teammates in open ad hoc environments. To achieve this, the controlled agent employs a dual teamwork situation inference model to capture the current teamwork state, facilitating decision-making under …

A Mixed-Curvature Based Pre-Training Paradigm For Multi-Task Vehicle Routing Solver, Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew-Soon Ong

Research Collection School Of Computing and Information Systems

Solving various types of vehicle routing problems (VRPs) using a unified neural solver has garnered significant attentions in recent years. Despite their effectiveness, existing neural multi-task solvers often fail to account for the geometric structures inherent in different tasks, which may result in suboptimal performance. To address this limitation, we propose a curvature-aware pre-training framework. Specifically, we leverage mixed-curvature spaces during the feature fusion stage, encouraging the model to capture the underlying geometric properties of each instance. Through extensive experiments, we evaluate the proposed pre-training strategy on existing neural multi-task solvers across a variety of testing scenarios. The results demonstrate …