b'Tianyi Zhang'

research

∙ 06/02/2022

Decentralized Training of Foundation Models in Heterogeneous Environments

Training foundation models, such as GPT-3 and PaLM, can be extremely exp...

Binhang Yuan, et al. ∙

research

∙ 05/23/2022

TempLM: Distilling Language Models into Template-Based Generators

While pretrained language models (PLMs) have greatly improved text gener...

Tianyi Zhang, et al. ∙

research

∙ 04/09/2022

Faster Min-Plus Product for Monotone Instances

In this paper, we show that the time complexity of monotone min-plus pro...

Shucheng Chi, et al. ∙

research

∙ 02/21/2022

Channel Estimation and Projection for RIS-assisted MIMO Using Zadoff-Chu Sequences

The reconfigurable intelligent surface (RIS) technology is a promising e...

Xuemeng Zhou, et al. ∙

research

∙ 01/16/2022

Cost Sharing for Connectivity with Budget

We consider a cost sharing problem to connect all nodes in a weighted un...

Tianyi Zhang, et al. ∙

research

∙ 12/27/2021

MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer

Pancreatic cancer is one of the most malignant cancers in the world, whi...

Tianyi Zhang, et al. ∙

research

∙ 12/21/2021

Interference and Coverage Analysis of mmWave Inter-Vehicle Broadcast with Directional Antennas

Thanks to the availability of large bandwidth and high-gain directional ...

Tianyi Zhang, et al. ∙

research

∙ 12/19/2021

Rethinking Importance Weighting for Transfer Learning

A key assumption in supervised learning is that training and test data f...

Nan Lu, et al. ∙

research

∙ 12/10/2021

PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records

Federated machine learning is a versatile and flexible tool to utilize d...

Tianyi Zhang, et al. ∙

research

∙ 12/02/2021

Gomory-Hu Trees in Quadratic Time

Gomory-Hu tree [Gomory and Hu, 1961] is a succinct representation of pai...

Tianyi Zhang, et al. ∙

research

∙ 11/08/2021

When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward

Cyber-physical systems (CPS) have been broadly deployed in safety-critic...

Jiayang Song, et al. ∙

research

∙ 09/09/2021

Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization

Robot localization remains a challenging task in GPS denied environments...

Tianyi Zhang, et al. ∙

research

∙ 06/23/2021

An investigation into the state-of-the-practice autonomous driving testing

Autonomous driving shows great potential to reform modern transportation...

Guannan Lou, et al. ∙

research

∙ 06/07/2021

Faster Cut-Equivalent Trees in Simple Graphs

Let G = (V, E) be an undirected connected simple graph on n vertices. A ...

Tianyi Zhang, et al. ∙

research

∙ 05/27/2021

PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery

Non-maximum Suppression (NMS) is an essential postprocessing step in mod...

Tianyi Zhang, et al. ∙

research

∙ 04/12/2021

On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies

We study how masking and predicting tokens in an unsupervised fashion ca...

Tianyi Zhang, et al. ∙

research

∙ 02/19/2021

Learning to Stop with Surprisingly Few Samples

We consider a discounted infinite horizon optimal stopping problem. If t...

Daniel Russo, et al. ∙

research

∙ 12/23/2020

Physical Wireless Resource Virtualization for Software-Defined Whole-Stack Slicing

Radio access network (RAN) virtualization is gaining more and more groun...

Matthias Sander-Frigau, et al. ∙

research

∙ 12/19/2020

RMT: Rule-based Metamorphic Testing for Autonomous Driving Models

Deep neural network models are widely used for perception and control in...

Yao Deng, et al. ∙

research

∙ 12/07/2020

Generative Adversarial Network based Heuristics for Sampling-based Path Planning

Sampling-based path planning is a popular methodology for robot path pla...

Tianyi Zhang, et al. ∙

research

∙ 11/03/2020

Design Paradigms Based on Spring Agonists for Underactuated Robot Hands: Concepts and Application

In this paper, we focus on a rarely used paradigm in the design of under...

Tianjian Chen, et al. ∙

research

∙ 11/03/2020

Exempla Gratis (E.G.): Code Examples for Free

Modern software engineering often involves using many existing APIs, bot...

Celeste Barnaby, et al. ∙

research

∙ 10/09/2020

An ensemble learning approach for software semantic clone detection

Code clone is a serious problem in software and has the potential to sof...

Min Fu, et al. ∙

research

∙ 08/22/2020

ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses

Efficient and appropriate online customer service is essential to large ...

Min Fu, et al. ∙

research

∙ 08/08/2020

Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection

With the explosive growth of e-commerce, online transaction fraud has be...

Dongbo Xi, et al. ∙

research

∙ 07/08/2020

A One-step Approach to Covariate Shift Adaptation

A default assumption in many machine learning scenarios is that the trai...

Tianyi Zhang, et al. ∙

research

∙ 06/10/2020

Revisiting Few-sample BERT Fine-tuning

We study the problem of few-sample fine-tuning of BERT contextual repres...

Tianyi Zhang, et al. ∙

research

∙ 05/27/2020

Demystifying Orthogonal Monte Carlo and Beyond

Orthogonal Monte Carlo (OMC) is a very effective sampling algorithm impo...

Han Lin, et al. ∙

research

∙ 03/19/2020

Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention

With the popularity of stereo cameras in computer assisted surgery techn...

Tianyi Zhang, et al. ∙

research

∙ 03/17/2020

A Scaling Algorithm for Weighted f-Factors in General Graphs

We study the maximum weight perfect f-factor problem on any general simp...

Ran Duan, et al. ∙

research

∙ 02/19/2020

Supporting OpenMP 5.0 Tasks in hpxMP – A study of an OpenMP implementation within Task Based Runtime Systems

OpenMP has been the de facto standard for single node parallelism for mo...

Tianyi Zhang, et al. ∙

research

∙ 01/28/2020

Identifying Mislabeled Data using the Area Under the Margin Ranking

Not all data in a typical training set help with generalization; some sa...

Geoff Pleiss, et al. ∙

research

∙ 12/31/2019

Scalable NAS with Factorizable Architectural Parameters

Neural architecture search (NAS) is an emerging topic in machine learnin...

Lanfei Wang, et al. ∙

research

∙ 10/20/2019

Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach

From two unlabeled (U) datasets with different class priors, we can trai...

Nan Lu, et al. ∙

research

∙ 10/09/2019

QPyTorch: A Low-Precision Arithmetic Simulation Framework

Low-precision training reduces computational cost and produces efficient...

Tianyi Zhang, et al. ∙

research

∙ 09/08/2019

Fully Dynamic Maximal Independent Set in Expected Poly-Log Update Time

In the fully dynamic maximal independent set (MIS) problem our goal is t...

Shiri Chechik, et al. ∙

research

∙ 05/28/2019

Analyzing and Supporting Adaptation of Online Code Examples

Developers often resort to online Q&A forums such as Stack Overflow (SO)...

Tianyi Zhang, et al. ∙

research

∙ 05/14/2019

Fixed-price Diffusion Mechanism Design

We consider a fixed-price mechanism design setting where a seller sells ...

Tianyi Zhang, et al. ∙

research

∙ 04/26/2019

SWALP : Stochastic Weight Averaging in Low-Precision Training

Low precision operations can provide scalability, memory savings, portab...

Guandao Yang, et al. ∙

research

∙ 04/21/2019

BERTScore: Evaluating Text Generation with BERT

We propose BERTScore, an automatic evaluation metric for text generation...

Tianyi Zhang, et al. ∙

research

∙ 03/07/2019

An Introduction to hpxMP -- A Modern OpenMP Implementation Leveraging Asynchronous Many-Tasking System

Asynchronous Many-task (AMT) runtime systems have gained increasing acce...

Tianyi Zhang, et al. ∙

research

∙ 02/19/2019

Simplifying Graph Convolutional Networks

Graph Convolutional Networks (GCNs) and their variants have experienced ...

Felix Wu, et al. ∙

research

∙ 12/13/2018

Active Inductive Logic Programming for Code Search

Modern search techniques either cannot efficiently incorporate human fee...

Aishwarya Sivaraman, et al. ∙

research

∙ 05/25/2018

BadLink: Combining Graph and Information-Theoretical Features for Online Fraud Group Detection

Frauds severely hurt many kinds of Internet businesses. Group-based frau...

Yikun Ban, et al. ∙

research

∙ 04/08/2018

TCP Decoupling for Next Generation Communication System

In traditional networks, interfaces of network nodes are duplex. But, em...

Xiaohui Chen, et al. ∙

research

∙ 03/29/2018

Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference

Gradient-based Monte Carlo sampling algorithms, like Langevin dynamics a...

Zhize Li, et al. ∙

research

∙ 03/07/2018

Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation receives much research attention...

Tianyi Zhang, et al. ∙

research

∙ 12/26/2017

Near-linear Time Algorithms for Approximate Minimum Degree Spanning Trees

Given a graph G = (V, E), n=|V|, m=|E|, we wish to compute a spanning tr...

Ran Duan, et al. ∙

research

∙ 10/04/2017

Exploring home robot capabilities by medium fidelity prototyping

In order for autonomous robots to be able to support people's well-being...

Martin Cooney, et al. ∙

Tianyi Zhang

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