Ming Yang

Extracting Consumer Health Expressions of Drug Safety from Web Forum

2015

Consumers often have difficulties expressing and understanding medical terminologies due to gaps in their domain knowledge and those of the health care professionals. This language gap is a barrier to effective health information seeking, and …

Non‐linear characteristic quantity extraction of ferroresonance overvoltage time series

2017 · IET Generation Transmission & Distribution

Ferroresonance is a common and complex phenomenon in power systems. Some types of ferroresonances are remarkably difficult to distinguish from others. This study adopts non‐linear analysis methods to directly extract non‐linear characteristic quantities from ferroresonance …

Exploiting Nonlinear Relationships for Top-N Recommender Systems

2017

To alleviate the information overload problem, recommendation technology has emerged and flourished. %As a most widely used recommendation technique, collaborative filtering algorithms suffer from data sparseness and cold start problems. Consequently, it is difficult to …

Nonlinear steering criteria for arbitrary two-qubit quantum systems

2020 · arXiv (Cornell University)

By employing Pauli measurements, we present some nonlinear steering criteria applicable for arbitrary two-qubit quantum systems and optimized ones for symmetric quantum states. These criteria provide sufficient conditions to witness steering, which can recover the …

A Practical Low-Cost Security Solution for Log Management and File Integrity Monitoring

2020

Log management and file integrity are among the most critical security controls in protecting valuable business data assets against internal and external security attacks. Despite the importance of these controls, many businesses, especially smaller ones, …

Enhancing Effectiveness of Teaching Evaluation using Blockchain and Regulated Token Economy

2021

To improve the effectiveness of teaching evaluation is an important objective at all teaching institutions. As a direct teaching assessment method, the core task of the evaluation is to elicit genuine and conscientious ratings and …

Towards an Efficient Defense against Deep Learning based Website Fingerprinting

2022

Website fingerprinting (WF) attacks allow an attacker to eavesdrop on the encrypted network traffic between a victim and an anonymous communication system so as to infer the real destination websites visited by a victim. Recently, …

Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight

2024 · arXiv (Cornell University)

This paper introduces Chain-of-Sight, a vision-language bridge module that accelerates the pre-training of Multimodal Large Language Models (MLLMs). Our approach employs a sequence of visual resamplers that capture visual details at various spacial scales. This …

SHE-Net: Syntax-Hierarchy-Enhanced Text-Video Retrieval

2025 · IEEE Transactions on Circuits and Systems for Video Technology

The user base of short video apps has experienced unprecedented growth in recent years, resulting in a significant demand for video content analysis. In particular, text-video retrieval, which aims to find the top matching videos …

Time Tells All: Deanonymization of Blockchain RPC Users with Zero Transaction Fee (Extended Version)

2025 · arXiv (Cornell University)

Remote Procedure Call (RPC) services have become a primary gateway for users to access public blockchains. While they offer significant convenience, RPC services also introduce critical privacy challenges that remain insufficiently examined. Existing deanonymization attacks …

FAVOR: Efficient Filter-Agnostic Vector ANNS Based on Selectivity-Aware Exclusion Distances

2026 · Proceedings of the ACM on Management of Data

Modern retrieval systems increasingly require integrating approximate nearest neighbor search (ANNS) with complex attribute filtering to handle hybrid queries in applications such as recommendation systems and retrieval-augmented generation (RAG). While HNSW-based inline-filtering methods show promise, …

Bidirectional Long Short-Term Memory Networks for Relation Classification

2015 · Institutional Repositories DataBase (IRDB)

Relation classification is an important se-mantic processing, which has achieved great attention in recent years. The main challenge is the fact that important infor-mation can appear at any position in the sentence. Therefore, we propose …