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06/28/2023
CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models
Holistically measuring societal biases of large language models is cruci...
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06/05/2023
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records
Objective: To pre-train fair and unbiased patient representations from E...
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04/17/2023
Tool Learning with Foundation Models
Humans possess an extraordinary ability to create and utilize tools, all...
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01/15/2023
Risk-aware Vehicle Motion Planning Using Bayesian LSTM-Based Model Predictive Control
Understanding the probabilistic traffic environment is a vital challenge...
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12/09/2022
Non-equispaced Fourier Neural Solvers for PDEs
Solving partial differential equations is difficult. Recently proposed n...
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10/02/2022
Economic-Driven Adaptive Traffic Signal Control
With the emerging connected-vehicle technologies and smart roads, the ne...
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09/12/2022
Driving Safety Prediction and Safe Route Mapping Using In-vehicle and Roadside Data
Risk assessment of roadways is commonly practiced based on historical cr...
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03/28/2022
Toward Deep Learning Based Access Control
A common trait of current access control approaches is the challenging n...
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05/31/2021
Energy Efficiency Optimization for Multi-cell Massive MIMO: Centralized and Distributed Power Allocation Algorithms
This paper investigates the energy efficiency (EE) optimization in downl...
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05/25/2021
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference
Existing pre-trained language models (PLMs) are often computationally ex...
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03/29/2020
Reconfigurable Intelligent Surfaces-Assisted Multiuser MIMO Uplink Transmission with Partial CSI
This paper considers the application of reconfigurable intelligent surfa...
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11/11/2019
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events
Electroencephalography (EEG) data are difficult to obtain due to complex...
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06/18/2019
Convolutional neural network models for cancer type prediction based on gene expression
Background Precise prediction of cancer types is vital for cancer diagno...
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05/21/2018
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization
Bioinformatics tools have been developed to interpret gene expression da...
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05/20/2018
Predicting drug response of tumors from integrated genomic profiles by deep neural networks
The study of high-throughput genomic profiles from a pharmacogenomics vi...
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08/04/2017