Bo Wang

Making the Most of Tweet-Inherent Features for Social Spam Detection on Twitter

2015 · arXiv (Cornell University)

Social spam produces a great amount of noise on social media services such as Twitter, which reduces the signal-to-noise ratio that both end users and data mining applications observe. Existing techniques on social spam detection …

Experimental High-Dimensional Einstein-Podolsky-Rosen Steering

2018 · Physical Review Letters

Steering nonlocality is the fundamental property of quantum mechanics, which has been widely demonstrated in some systems with qubits. Recently, theoretical works have shown that the high-dimensional (HD) steering effect exhibits novel and important features, …

30.5 A 1.41pJ/b 56Gb/s PAM-4 Wireline Receiver Employing Enhanced Pattern Utilization CDR and Genetic Adaptation Algorithms in 7nm CMOS

2019

Analog mixed-signal (AMS) receivers for 50+Gb/s PAM-4 offer lower power than ADC-DSP receivers [1]-[3]. Those using DFEs [2]-[3] suffer from relatively high power consumption due to the large number of latches needed in PAM-4 speculative …

Generation of multi-channel chaotic signals with time delay signature concealment and ultrafast photonic decision making based on a globally-coupled semiconductor laser network

2020 · Photonics Research

We propose and demonstrate experimentally and numerically a network of three globally coupled semiconductor lasers (SLs) that generate triple-channel chaotic signals with time delayed signature (TDS) concealment. The effects of the coupling strength and bias …

Preventing Spread of Spam Transactions in Blockchain by Reputation

2020

As one of the fastest-growing applications in the Peer-to-Peer (P2P) network, the development of blockchain technology is accompanied by different attacks. Those include whitewashing, free-riding, and distributed denial of service (DDoS) attacks, particularly because of …

Auxiliary Decision Technology and Application of Power Grid Fault Disposal Based on Knowledge Understanding of Fault Preplan

2020 · 2020 5th International Conference on Power and Renewable Energy (ICPRE)

Combined with the characteristics of power grid fault disposal, auxiliary decision-making technology and implementation architecture of power grid fault disposal that based on knowledge understanding of fault preplan are proposed. Natural language processing technology is …

A Blockchain-Based Public Auditing Protocol with Self-Certified Public Keys for Cloud Data

2021 · Security and Communication Networks

Cloud storage can provide a way to effectively store and manage big data. However, due to the separation of data ownership and management, it is difficult for users to check the integrity of data in …

WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models

2023 · arXiv (Cornell University)

This paper describes our submission to the MEDIQA-Chat 2023 shared task for automatic clinical note generation from doctor-patient conversations. We report results for two approaches: the first fine-tunes a pre-trained language model (PLM) on the …

An Efficient Differential Privacy-Based Method for Location Privacy Protection in Location-Based Services

2023 · Sensors

Location-based services (LBS) are widely used due to the rapid development of mobile devices and location technology. Users usually provide precise location information to LBS to access the corresponding services. However, this convenience comes with …

Aligning Recommendation and Conversation via Dual Imitation

2022

Human conversations of recommendation naturally involve the shift of interests which can align the recommendation actions and conversation process to make accurate recommendations with rich explanations. However, existing conversational recommendation systems (CRS) ignore the advantage …

XFMP: A Benchmark for Explainable Fine-Grained Abnormal Behavior Recognition on Medical Personal Protective Equipment

2024 · IEEE Transactions on Circuits and Systems for Video Technology

The proper use of medical personal protective equipment (MPPE) is critical for frontline healthcare workers (HCWs) to handle highly contagious diseases. Due to the complexity of PPE donning and doffing protocols, public health organizations typically …

On the Evaluation of Large Language Models in Unit Test Generation

2024 · arXiv (Cornell University)

Unit testing is an essential activity in software development for verifying the correctness of software components. However, manually writing unit tests is challenging and time-consuming. The emergence of Large Language Models (LLMs) offers a new …

Explicit Dropping Notification in Data Centers

2024

Datacenter applications increasingly demand microsecond-scale latency and tight tail latency. Despite recent advances in datacenter transport protocols, we notice that the timeout caused by packet loss is the killer of microsecond-scale latency. Moreover, refining the …

Construction of Stock Price Fluctuation Prediction Model Based On ABC-SVR Artificial Bee Colony Algorithm

2024 · International Journal of Data Science

Traditional research on stock price volatility prediction faces problems such as complex models, difficulty in parameter optimisation, and insufficient model generalisation ability. In this paper, the artificial bee colony support vector regression (ABC-SVR) algorithm is …

Efficient privacy aggregation method based on zero-knowledge proofs in federated learning

2024

Federated learning (FL) enables distributed clients to privately train machine learning models using their own local data, thus avoiding the security risk of directly exchanging private data between clients and servers. However, there is a …

Prediction of Sensor Data Accuracy in Thermal Experimental Benches Using GRU-GCN Neural Network Model

2024

Abstract As a large-scale facility with multi-system coupling, the operation safety of nuclear power plant is of great importance to the environment and human society. Accurate monitoring of the overall operation status of nuclear power …

MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space

2024

Personalized Dialogue Generation (PDG) aims to create coherent responses according to roles or personas.Traditional PDG relies on external role data, which can be scarce and raise privacy concerns.Approaches address these issues by extracting role information …

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark

2024 · arXiv (Cornell University)

Evaluation plays a crucial role in the advancement of information retrieval (IR) models. However, current benchmarks, which are based on predefined domains and human-labeled data, face limitations in addressing evaluation needs for emerging domains both …

Conditional-Balanced Adversarial Delta Tuning for Cross-Domain Implicit Discourse Relation Recognition

2025

Implicit discourse relation recognition (IDRR) is faced with a domain dilemma. Recent studies have achieved breakthroughs in standard datasets, while they are not appropriate in domains with insufficient data, such as bio-medicine. In this paper, …

PAFedMIS: Personalized Asynchronous Federated Learning for Medical Image Segmentation

2025

As privacy protection gains momentum, federated learning has emerged as a cutting-edge approach in medical image analysis. However, the intricacies of medical image segmentation task have led to a dearth of research in this domain, …

Cognitive Mirroring for DocRE: A Self-Supervised Iterative Reflection Framework with Triplet-Centric Explicit and Implicit Feedback

2025

Large language models (LLMs) have advanced document-level relation extraction (DocRE), but DocRE is more complex than sentencelevel relation extraction (SentRE), facing challenges like diverse relation types, coreference resolution and long-distance dependencies.Traditional pipeline methods, which detect …

A Survey of Collaborative Filtering-Based Recommender Systems: From Traditional Methods to Hybrid Methods Based on Social Networks

2018 · IEEE Access

In the era of big data, recommender system (RS) has become an effective information filtering tool that alleviates information overload for Web users. Collaborative filtering (CF), as one of the most successful recommendation techniques, has …

Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion

2021

Human-curated knowledge graphs provide critical supportive information to various natural language processing tasks, but these graphs are usually incomplete, urging auto-completion of them (a.k.a. knowledge graph completion). Prevalent graph embedding approaches, e.g., TransE, learn structured …

DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations

2021

John Giorgi, Osvald Nitski, Bo Wang, Gary Bader. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.