Tao Chen

Design and Implementation of AngularJS and Bootstrap Chat Room Based

2015

With the development of Internet and information technology, how to construct efficient, powerfuldynamic website has become the focus of many people's research. This paper will construct a HTML5 chat room with Angular JS and Bootstrap, …

Bridging Ecology and Cloud: Transposing Ecological Prespective to Enable Better Cloud Autoscaling

2016 · arXiv (Cornell University)

Elastic autoscaling is the fundamental mechanism that enables the cloud-based services to continually evolve themselves - through changing the related software configurations and hardware resource provisions - under time-varying workloads. However, given the increasingly complex …

Crowd Security Detection based on Entropy Model.

2015 · ISCRAM

Identifying the terror attack, illegal public gathering or other mass events risks by utilizing cameras is an important concern both in crowd security area and in pattern recognition research area. This paper provides a physical …

To Adapt or Not to Adapt?

2018

Self-adaptive system (SAS) can adapt itself to optimize various key performance indicators in response to the dynamics and uncertainty in environment. In this paper, we present Debt Learning Driven Adaptation (DLDA), an framework that dynamically …

On Using Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software: An Empirical Comparison

2019 · arXiv (Cornell University)

Given the ever-increasing complexity of adaptable software systems and their commonly hidden internal information (e.g., software runs in the public cloud), machine learning based performance modeling has gained momentum for evaluating, understanding and predicting software …

Cloud Instance Selection Using Parallel K-Means and AHP

2019

Managing cloud spend and qualities when selecting cloud instances is cited as one of the timely research challenges in cloud computing. Cloud service consumers are often confronted by too many options and selection is challenging. …

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

2021 · arXiv (Cornell University)

Generating factual-consistent summaries is a challenging task for abstractive summarization. Previous works mainly encode factual information or perform post-correct/rank after decoding. In this paper, we provide a factual-consistent solution from the perspective of contrastive learning, …

EMD and VMD Empowered Deep Learning for Radio Modulation Recognition

2022 · IEEE Transactions on Cognitive Communications and Networking

Deep learning has been widely exploited in radio modulation recognition in recent years. In this paper, we exploit empirical mode decomposition (EMD) and variational mode decomposition (VMD) in deep learning-based radio modulation recognition. The received …

Architecture Design of Flash Sale System Based on Apache Dubbo Technology

2023

The flash buying system has a high instantaneous request volume, but a low effective request volume, which requires a high timeliness. It is very difficult to develop a highly concurrent and highly available flash sale …

Intelligent recognition system of converter station operation text based on computer image acquisition

2023

In order to improve the efficiency of text recognition of converter station operation, this paper studies the intelligent text recognition system combined with computer image acquisition technology. Through the visual recognition algorithm developed by VS2010 …

Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection

2023

Unsupervised Domain Adaptation (UDA) technique has been explored in 3D cross-domain tasks recently. Though preliminary progress has been made, the performance gap between the UDA-based 3D model and the supervised one trained with fully annotated …

Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning

2023

Prompt tuning has enhanced the performance of Pre-trained Language Models for multi-task learning in few-shot scenarios. However, existing studies fail to consider that the prompts among different layers in Transformer are different due to the …

Noncyclic nonadiabatic geometric quantum gates in a superconducting circuit

2023 · Physical Review Applied

Quantum gates based on geometric phases possess intrinsic noise-resilience features and attract much attention. However, the implementations of previous geometric quantum computation typically require a long pulse time of gates. As a result, their experimental …

Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning

2024 · arXiv (Cornell University)

Learning and predicting the performance of given software configurations are of high importance to many software engineering activities. While configurable software systems will almost certainly face diverse running environments (e.g., version, hardware, and workload), current …

Adapting Multi-objectivized Software Configuration Tuning

2024 · Proceedings of the ACM on software engineering.

When tuning software configuration for better performance (e.g., latency or throughput), an important issue that many optimizers face is the presence of local optimum traps, compounded by a highly rugged configuration landscape and expensive measurements. …

HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?

2025 · arXiv (Cornell University)

Recently, the physical capabilities of (M)LLMs have garnered increasing attention. However, existing benchmarks for physics suffer from two major gaps: they neither provide systematic and up-to-date coverage of real-world physics competitions such as physics Olympiads, …

TriRank

2015

Most existing collaborative filtering techniques have focused on modeling the binary relation of users to items by extracting from user ratings. Aside from users' ratings, their affiliated reviews often provide the rationale for their ratings …

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

2019

Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao …