Zhuo Chen

You can teach elephants to dance

2017

VM handoff enables rapid and transparent placement changes to executing code in edge computing use cases where the safety and management attributes of VM encapsulation are important. This versatile primitive offers the functionality of classic …

A Learning Approach to Cooperative Communication System Design

2020

The cooperative relay network is a type of multi-terminal communication system. We present in this paper a Neural Network (NN)-based autoencoder (AE) approach to optimize its design. This approach implements a classical three-node cooperative system …

Deep Autoencoder Learning for Relay-Assisted Cooperative Communication Systems

2020 · IEEE Transactions on Communications

Emerging recently as a novel concept in communication system design, end-to-end learning introduces deep neural networks (NNs) to represent the transmitter and receiver functions. Consequently, the whole system can be interpreted as an autoencoder (AE), …

A comparison of OCMPM and OCSVM in motor and sensor fault detection for traction control system

2019 · 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

Fault detection is critical to ensure the safe operation of high speed trains. One class support vector machine (OCSVM) and one class minimax probability machine (OCMPM) are two domain-based single class classification methods and commonly …

Tele-Knowledge Pre-training for Fault Analysis

2022 · arXiv (Cornell University)

In this work, we share our experience on tele-knowledge pre-training for fault analysis, a crucial task in telecommunication applications that requires a wide range of knowledge normally found in both machine log data and product …

A Novel Covert Timing Channel Based on Bitcoin Messages

2023 · IEEE Transactions on Computers

Covert channels serve the construction of cyberspace security. By realizing the secure transmission of data, it is widely used in political and financial fields. Blockchain covert channels have higher reliability and concealment compared to traditional …

ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reordering

2024 · arXiv (Cornell University)

The language model (LM) approach based on acoustic and linguistic prompts, such as VALL-E, has achieved remarkable progress in the field of zero-shot audio generation. However, existing methods still have some limitations: 1) repetitions, transpositions, …

TacoLM: GaTed Attention Equipped Codec Language Model are Efficient Zero-Shot Text to Speech Synthesizers

2024 · arXiv (Cornell University)

Neural codec language model (LM) has demonstrated strong capability in zero-shot text-to-speech (TTS) synthesis. However, the codec LM often suffers from limitations in inference speed and stability, due to its auto-regressive nature and implicit alignment …

ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge

2024

To promote speech processing and recognition research in driving scenarios, we build on the success of the Intelligent Cockpit Speech Recognition Challenge (ICSRC) held at ISCSLP 2022 and launch the ICASSP 2024 In-Car Multi-Channel Automatic …

Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking

2024 · arXiv (Cornell University)

Large language models (LLMs) have demonstrated exceptional performance in text generation within current NLP research. However, the lack of factual accuracy is still a dark cloud hanging over the LLM skyscraper. Structural knowledge prompting (SKP) …

EvolGCN: A Co-Evolutionary Graph Convolutional Network Model for Dynamically Spatio-Temporal Anomaly Event Inference

2025 · IEEE Transactions on Dependable and Secure Computing

Accurately spatio-temporal anomaly event inference is significant to enhance society’s safety, such as crime prevention and traffic collision reduction, etc. However, it is hard to achieve good performance for its complicated process being influenced by …

Research on paragraph-level functional structure recognition in scientific literature: a data augmentation method based on LLMs and lexical function

2025 · Scientometrics

Abstract The automatic recognition of functional structures within scientific literature enhances fine-grained information retrieval and mitigates issues associated with imbalanced text classification. Although multilevel functional structure research is relatively advanced, achieving high accuracy in overall …

FreeMesh: Boosting Mesh Generation with Coordinates Merging

2025 · arXiv (Cornell University)

The next-coordinate prediction paradigm has emerged as the de facto standard in current auto-regressive mesh generation methods. Despite their effectiveness, there is no efficient measurement for the various tokenizers that serialize meshes into sequences. In …

End-to-End attention based text-dependent speaker verification

2016

A new type of End-to-End system for text-dependent speaker verification is presented in this paper. Previously, using the phonetic discriminate/speaker discriminate DNN as a feature extractor for speaker verification has shown promising results. The extracted …