Tao Wang

A Novel TRUST-TECH Guided Branch-and-Bound Method for Nonlinear Integer Programming

2015 · IEEE Transactions on Systems Man and Cybernetics Systems

Nonlinear integer programming has not reached the same level of maturity as linear programming, and is still difficult to solve, especially for large-scale systems. Branch-and-bound ( B&B) and its variants are widely used methods for …

Walkie-Talkie: An Effective and Efficient Defense against Website Fingerprinting

2015

Website fingerprinting is a traffic analysis attack that allows an eavesdropper to determine the web activity of a client, even if the client is using privacy technologies such as proxies, VPNs, or Tor. Effective defenses …

Software Ranker: A New Comprehensive Software Ranking Approach

2018

With the popularity of the open source, the open source community has accumulated a large number of open source project. While these massive projects provide developers with rich reusable resource, they also bring difficulties for …

Trustable and Automated Machine Learning Running with Blockchain and Its Applications

2019 · arXiv (Cornell University)

Machine learning algorithms learn from data and use data from databases that are mutable; therefore, the data and the results of machine learning cannot be fully trusted. Also, the machine learning process is often difficult …

Flash

2019

Offchain networks emerge as a promising solution to address the scalability challenge of blockchain. Participants make payments through offchain networks instead of committing transactions on-chain. Routing is critical to the performance of offchain networks. Existing …

Characterizing the Occurrence of Dockerfile Smells in Open-Source Software: An Empirical Study

2020 · IEEE Access

Dockerfile plays an important role in the Docker-based software development process, but many Dockerfile codes are infected with smells in practice. Understanding the occurrence of Dockerfile smells in open-source software can benefit the practice of …

An Adaptive Ellipse Distance Density Peak Fuzzy Clustering Algorithm Based on the Multi-target Traffic Radar

2020 · Sensors

In the multi-target traffic radar scene, the clustering accuracy between vehicles with close driving distance is relatively low. In response to this problem, this paper proposes a new clustering algorithm, namely an adaptive ellipse distance …

FASG: Feature Aggregation Self-training GCN for Semi-supervised Node Classification

2021

Recently, Graph Convolutioal Networks (GCNs) have achieved significant success in many graph-based learning tasks, especially for node classification, due to its excellent ability in representation learning. Nevertheless, it remains challenging for GCN models to obtain …

Secoco: Self-Correcting Encoding for Neural Machine Translation

2021 · arXiv (Cornell University)

This paper presents Self-correcting Encoding (Secoco), a framework that effectively deals with input noise for robust neural machine translation by introducing self-correcting predictors. Different from previous robust approaches, Secoco enables NMT to explicitly correct noisy …

Diverse Distractor Generation for Constructing High-Quality Multiple Choice Questions

2021 · IEEE/ACM Transactions on Audio Speech and Language Processing

Distractor generation task aims to generate incorrect options (i.e., distractors) for multiple choice questions from an article.Existing methods for this task often utilize a standard encoder-decoder framework. However, these methods often tend to generate semantically …

Amer: A New Attribute-Missing Network Embedding Approach

2022 · IEEE Transactions on Cybernetics

Network embedding which aims to learn a low dimensional representation of nodes is a powerful technique for network analysis. While network embedding for networks with complete attributes has been widely investigated, in many real-world applications …

A Review of the Application of Blockchain Technology in Virtual Power Plant

2022 · 2022 4th International Conference on Power and Energy Technology (ICPET)

In order to overcome the defects of centralized management and transaction methods while protecting user privacy and information security at the same time, blockchain technology, which is believed to have great impact on the in-depth …

Experimental demonstration of a photonic reservoir computing system based on Fabry Perot laser for multiple tasks processing

2024 · Nanophotonics

Photonic reservoir computing (RC) is a simple and efficient neuromorphic computing framework for human cortical circuits, which is featured with fast training speed and low training cost. Photonic time delay RC, as a simple hardware …

Short-term prediction for chaotic time series based on photonic reservoir computing using VCSEL with a feedback loop

2024 · Photonics Research

Chaos, occurring in a deterministic system, has permeated various fields such as mathematics, physics, and life science. Consequently, the prediction of chaotic time series has received widespread attention and made significant progress. However, many problems, …

Time-delayed reservoir computing based on spin-VCSEL: interplay between pump ellipticity and performance

2024 · Journal of the Optical Society of America B

Reservoir computing, a simplified recurrent neural network, can be implemented using a nonlinear system with delay feedback, known as time-delayed reservoir computing. In this paper, we explore two time-delayed reservoir computing schemes based on the …

Revisiting Network Perturbation for Semi-Supervised Semantic Segmentation

2024 · arXiv (Cornell University)

In semi-supervised semantic segmentation (SSS), weak-to-strong consistency regularization techniques are widely utilized in recent works, typically combined with input-level and feature-level perturbations. However, the integration between weak-to-strong consistency regularization and network perturbation has been relatively …

Efficient Compensation of Action for Reinforcement Learning Policies in Sim2Real

2024

Simulation to reality (sim-to-real) transfer is a promising alternative for training behavioral policies in reinforcement learning (RL). However, many significant differences between the simulator and the real-world environment cause policies to make inconsistent actions in …

UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model

2025

Significant advancements has recently been achieved in the field of multi-modal large language models (MLLMs), demonstrating their remarkable capabilities in understanding and reasoning across diverse tasks.However, these models are often trained for specific tasks and …

Research on improved bidirectional Dijkstra shortest path based on heap structures

2025

With the development of the automotive industry, urban transportation systems face increasingly complex challenges. To address the slow computation and low efficiency of the traditional Dijkstra's algorithm in large-scale road networks, this study proposes the …

A polychromatic continuous-variable quantum communication network enabled by optical frequency combs

2025 · arXiv (Cornell University)

In classical communication, the introduction of polychromatic resources has rapidly boosted classical networks' rate and scale. Quantum communication is now at a similar critical stage in its development, and therefore, it is essential to investigate …

Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

2021

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language …