Chao Wang

Radar signal classification based on auto-correlation function and directed graphical model

2016

This paper proposes a new radar signal classification algorithm based on auto-correlation function (ACF) and directed graphical model (DGM). The ACFs of analytic radar signals are calculated to magnify the discrimination of signals of different …

Confidence-Aware Matrix Factorization for Recommender Systems

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Collaborative filtering (CF), particularly matrix factorization (MF) based methods, have been widely used in recommender systems. The literature has reported that matrix factorization methods often produce superior accuracy of rating prediction in recommender systems. However, …

Chinese Language Processing Based on Stroke Representation and Multidimensional Representation

2018 · IEEE Access

With the development of deep learning and artificial intelligence, deep neural networks are increasingly being applied for natural language processing tasks. However, the majority of research on natural language processing focuses on alphabetic languages. Few …

Simplified Hierarchical Recurrent Encoder-Decoder for Building End-To-End Dialogue Systems

2018 · arXiv (Cornell University)

As a generative model for building end-to-end dialogue systems, Hierarchical Recurrent Encoder-Decoder (HRED) consists of three layers of Gated Recurrent Unit (GRU), which from bottom to top are separately used as the word-level encoder, the …

Research on Intelligent Operational Assisted Decision-making of Naval Battlefield Based on Deep Reinforcement Learning

2021

research-article Share on Research on Intelligent Operational Assisted Decision-making of Naval Battlefield Based on Deep Reinforcement Learning Authors: Xin-ye Zhao Dalian Naval Academy, China Dalian Naval Academy, ChinaView Profile , Mei Yang Dalian Naval Academy, …

Threshold-free Anomaly Detection for Streaming Time Series through Deep Learning

2021 · 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

Anomaly detection for streaming time series is a key issue in real applications, especially in the IT industry like ecommerce. Instead of employing the traditional threshold-based approach to achieve anomaly detection, we propose a threshold-free …

Analysis and research on breakdown cause of lightning arrester at low voltage side of 220kV transformer

2022 · Journal of Physics Conference Series

Abstract This paper describes an event of zinc oxide arrester breakdown at low voltage side due to single-phase grounding at medium voltage side of 220kV transformer. Combined with the system wiring mode, equipment damage, system …

MOORe: Model-based Offline-to-Online Reinforcement Learning

2022 · arXiv (Cornell University)

With the success of offline reinforcement learning (RL), offline trained RL policies have the potential to be further improved when deployed online. A smooth transfer of the policy matters in safe real-world deployment. Besides, fast …

Evolutionary Multitasking AUC Optimization

2022 · arXiv (Cornell University)

Learning to optimize the area under the receiver operating characteristics curve (AUC) performance for imbalanced data has attracted much attention in recent years. Although there have been several methods of AUC optimization, scaling up AUC …

Rethinking Reinforcement Learning based Logic Synthesis

2022 · arXiv (Cornell University)

Recently, reinforcement learning has been used to address logic synthesis by formulating the operator sequence optimization problem as a Markov decision process. However, through extensive experiments, we find out that the learned policy makes decisions …

Teaching Reform of the Undergraduate Spectroscopy Analysis Course

2022 · University Chemistry

摘要： 波谱解析是一门多学科交叉的课程，具有波谱概念/原理的抽象性和图谱结构解析的实践性。本文探索了波谱解析课在教学内容和教学方式等方面的改革，将抽象的理论具体化和形象化，增强课堂学习的互动和趣味性，明显提高了学生课堂上的注意力和学习气氛。通过课外采谱解谱团队实践，提高了学生对课程的学习兴趣和内在驱动力。

A New Radar Signal Multiparameter-Based Deinterleaving Method

2022 · arXiv (Cornell University)

Radar signal deinterleaving has been extensively and thoroughly investigated in the electronic reconnaissance field. In this work, a new radar signal multiparameter-based deinterleaving method is proposed. In this method, semantic information composed of the pulse …

Federated learning privacy incentives: Reverse auctions and negotiations

2023 · CAAI Transactions on Intelligence Technology

Abstract The incentive mechanism of federated learning has been a hot topic, but little research has been done on the compensation of privacy loss. To this end, this study uses the Local SGD federal learning …

UMP-MG: A Uni-directed Message-Passing Multi-label Generation Model for Hierarchical Text Classification

2023 · Data Science and Engineering

Abstract Hierarchical Text Classification (HTC) is a formidable task which involves classifying textual descriptions into a taxonomic hierarchy. Existing methods, however, have difficulty in adequately modeling the hierarchical label structures, because they tend to focus …

Robust Intrusion Detection for Industrial Control Systems Using Improved Autoencoder and Bayesian Gaussian Mixture Model

2023 · Mathematics

Machine learning-based intrusion detection systems are an effective way to cope with the increasing security threats faced by industrial control systems. Considering that it is hard and expensive to obtain attack data, it is more …

Investigation and application of key technologies of aggregated flash payment based on marketing blockchain in the context of massive distributed generation grid connection

2023 · International Journal of Emerging Electric Power Systems

Abstract Optical flash payment technology is a form of optical flash payment application. Its payment scenario is mainly to directly realize “card free payment” in the consumption process through mobile devices, Bluetooth and other connection …

A White-box Implementation of SM4 with Self-equivalence Encoding

2023 · The Computer Journal

Abstract White-box implementation can ensure the security of cryptographic algorithm in white-box attack environment without changing the inputs and outputs of the original algorithm. Most existing white-box implementations construct a series of lookup tables to …

The Comp-TSSs Scheme for Anomaly Detection in AI-Powered Autonomous Driving

2025 · ACM Transactions on Autonomous and Adaptive Systems

Given the vulnerability of vehicular networks to security attacks and the criticality of secure AI-powered autonomous driving, this paper emphasizes the security issue concerning vehicular networks in AI-powered autonomous vehicles. The novel complementary tensor summary …

Ph.D. Project: A Novel Compilation-Based Approach for Generating Sparse Tensor Accelerators

2025

Sparse tensor computing is widely used in deep learning and scientific computing, but its irregularity challenges GPU/NPU acceleration. FPGAs, with their reconfigurability, are well-suited for sparse workloads. However, current point-wise, manual design methodologies significantly limit …

DVFIP-Net: Dual View Feature Interaction Propagation Network for Polyp Segmentation

2026 · IEEE Access

Accurate segmentation of polyps in colonoscopy examinations plays a vital role in the early diagnosis and effective treatment of colorectal cancer. However, the considerable variation in polyp sizes and shapes often results in blurred boundaries …

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

2021 · arXiv (Cornell University)

Open-domain Question Answering (OpenQA) is an important task in Natural Language Processing (NLP), which aims to answer a question in the form of natural language based on large-scale unstructured documents. Recently, there has been a …