Shuo Wang

FDALB: Flow distribution aware load balancing for datacenter networks

2016

We present FDALB, a flow distribution aware load balancing mechanism aimed at reducing flow collisions and achieving high scalability. FDALB, like the most of centralized methods, uses a centralized controller to get the view of …

To Adapt or Not to Adapt?

2018

Self-adaptive system (SAS) can adapt itself to optimize various key performance indicators in response to the dynamics and uncertainty in environment. In this paper, we present Debt Learning Driven Adaptation (DLDA), an framework that dynamically …

A Hybrid BERT and LightGBM based Model for Predicting Emotion GIF Categories on Twitter

2020 · arXiv (Cornell University)

The animated Graphical Interchange Format (GIF) images have been widely used on social media as an intuitive way of expression emotion. Given their expressiveness, GIFs offer a more nuanced and precise way to convey emotions. …

Characterization of indeterminate breast lesions on B-mode ultrasound using automated machine learning models

2020 · Journal of medical imaging

Purpose: While mammography has excellent sensitivity for the detection of breast lesions, its specificity is limited. Adjunct screening with ultrasound may partially alleviate this issue but also increases false positives, resulting in unnecessary biopsies. Our …

A Template-based Method for Constrained Neural Machine Translation

2022 · arXiv (Cornell University)

Machine translation systems are expected to cope with various types of constraints in many practical scenarios. While neural machine translation (NMT) has achieved strong performance in unconstrained cases, it is non-trivial to impose pre-specified constraints …

Research on the application scenarios and supporting technologies of digital technology in the power industry

2023

At present, digital technology has become an inevitable trend in the development of the power industry. However, there is a lack of research on the impact of digital technology on the power industry from the …

Explainable Recommendation with Personalized Review Retrieval and Aspect Learning

2023

Hao Cheng, Shuo Wang, Wensheng Lu, Wei Zhang, Mingyang Zhou, Kezhong Lu, Hao Liao. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.

Fairness Oriented Spectrum Auction for Blockchain-assisted Dynamic Spectrum Sharing

2023

Leveraging the unique characteristics of blockchain, secure and efficient dynamic spectrum sharing (DSS) can be achieved, which has been regarded as a promising solution to meet the spectrum requirement in future wireless communication systems. However, …

Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns

2023

The daily deluge of alerts is a sombre reality for Security Operations Centre (SOC) personnel worldwide. Those on the front-lines of cybersecurity face the unenviable task of prioritising threats amongst a flood of URLs found …

Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning

2024 · ACM Transactions on Intelligent Systems and Technology

Explainable recommender systems ( ERS ) aim to enhance users’ trust in the systems by offering personalized recommendations with transparent explanations. This transparency provides users with a clear understanding of the rationale behind the recommendations, …

FCC : A Fast-Converging Low-Latency Congestion Control Algorithm for Datacenter RDMA Network

2024

Congestion control plays a crucial role in ensuring the performance of data center networks. However, mainstream RDMA congestion control algorithms still face challenges such as slow congestion response and poor deployability. In this paper, we …

Real-cyber hybrid neural network for predicting neural circuits in mouse decision-making

2024 · bioRxiv (Cold Spring Harbor Laboratory)

A major challenge in neuroscience is to elucidate how the brain processes sensory input to generate behavior, especially given the difficulty to measure neural activity across the whole brain. To address this limitation, previous studies …

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation

2026

Multimodal Retrieval-Augmented Generation (MRAG) has shown promise in mitigating hallucinations in Multimodal Large Language Models (MLLMs) by incorporating external knowledge. However, existing methods typically adhere to rigid retrieval paradigms by mimicking fixed retrieval trajectories and …

Crowdsourcing Framework for Security Testing and Verification of Industrial Cyber-Physical Systems

2025 · Sensors

With the widespread deployment of Industrial Cyber-Physical Systems (ICPS), their inherent vulnerabilities have increasingly exposed them to sophisticated cybersecurity threats. Although existing protective mechanisms can block attacks at runtime, the risk of defense failure remains. …