b'Lu Wang'

research

∙ 09/19/2023

On-device Real-time Custom Hand Gesture Recognition

Most existing hand gesture recognition (HGR) systems are limited to a pr...

0 Esha Uboweja, et al. ∙

research

∙ 09/09/2023

Latent Degradation Representation Constraint for Single Image Deraining

Since rain streaks show a variety of shapes and directions, learning the...

0 Yuhong He, et al. ∙

research

∙ 08/20/2023

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models

Current literature, aiming to surpass the "Chain-of-Thought" approach, o...

0 Bilgehan Sel, et al. ∙

research

∙ 08/17/2023

Exploring Demonstration Ensembling for In-context Learning

In-context learning (ICL) operates by showing language models (LMs) exam...

0 Muhammad Khalifa, et al. ∙

research

∙ 08/11/2023

Reinforcement Logic Rule Learning for Temporal Point Processes

We propose a framework that can incrementally expand the explanatory tem...

0 Chao Yang, et al. ∙

research

∙ 08/03/2023

Diffusion-based Time Series Data Imputation for Microsoft 365

Reliability is extremely important for large-scale cloud systems like Mi...

0 Fangkai Yang, et al. ∙

research

∙ 08/01/2023

Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction

Learning from positive and unlabeled data is known as positive-unlabeled...

0 Zhangchi Zhu, et al. ∙

research

∙ 06/25/2023

Diffusion Model Based Low-Light Image Enhancement for Space Satellite

Space-based visible camera is an important sensor for space situation aw...

0 Yiman Zhu, et al. ∙

research

∙ 06/13/2023

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations

Imitation learning has achieved great success in many sequential decisio...

0 Tianxiang Zhao, et al. ∙

research

∙ 05/25/2023

High-dimensional Response Growth Curve Modeling for Longitudinal Neuroimaging Analysis

There is increasing interest in modeling high-dimensional longitudinal o...

0 Lu Wang, et al. ∙

research

∙ 05/24/2023

Discriminator-Guided Multi-step Reasoning with Language Models

In the context of multi-step reasoning, language models (LMs) probabilit...

0 Muhammad Khalifa, et al. ∙

research

∙ 05/24/2023

AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content

Long document summarization systems are critical for domains with length...

0 Shuyang Cao, et al. ∙

research

∙ 05/24/2023

You Are What You Annotate: Towards Better Models through Annotator Representations

Annotator disagreement is ubiquitous in natural language processing (NLP...

0 Naihao Deng, et al. ∙

research

∙ 05/24/2023

Meta-review Generation with Checklist-guided Iterative Introspection

Opinions in the scientific domain can be divergent, leading to controver...

0 Qi Zeng, et al. ∙

research

∙ 05/19/2023

BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases

Energy-based models (EBMs) have gained popularity for controlled text ge...

0 Xin Liu, et al. ∙

research

∙ 05/19/2023

Introspective Tips: Large Language Model for In-Context Decision Making

The emergence of large language models (LLMs) has substantially influenc...

1 Liting Chen, et al. ∙

research

∙ 05/19/2023

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering

Large Language Model (LLM) has gained popularity and achieved remarkable...

0 Zezhong Wang, et al. ∙

research

∙ 04/11/2023

Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection

Adversarial attacks in the physical world can harm the robustness of det...

0 Tianyuan Zhang, et al. ∙

research

∙ 03/01/2023

Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails

Research on email anomaly detection has typically relied on specially pr...

0 Mu-Huan Chung, et al. ∙

research

∙ 02/14/2023

Conservative State Value Estimation for Offline Reinforcement Learning

Offline reinforcement learning faces a significant challenge of value ov...

0 Liting Chen, et al. ∙

research

∙ 02/03/2023

Non-greedy Tree-based Learning for Estimating Global Optimal Dynamic Treatment Decision Rules with Continuous Treatment Dosage

Dynamic treatment regime (DTR) plays a critical role in precision medici...

0 Chang Wang, et al. ∙

research

∙ 12/23/2022

RMove: Recommending Move Method Refactoring Opportunities using Structural and Semantic Representations of Code

Incorrect placement of methods within classes is a typical code smell ca...

0 Di Cui, et al. ∙

research

∙ 11/21/2022

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Oversubscription is a common practice for improving cloud resource utili...

0 Junjie Sheng, et al. ∙

research

∙ 11/14/2022

Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure

Generative models have demonstrated impressive results on Aspect-based S...

0 Joseph J. Peper, et al. ∙

research

∙ 11/04/2022

Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis

Prior work on ideology prediction has largely focused on single modaliti...

0 Changyuan Qiu, et al. ∙

research

∙ 11/03/2022

Time-aware Prompting for Text Generation

In this paper, we study the effects of incorporating timestamps, such as...

0 Shuyang Cao, et al. ∙

research

∙ 11/02/2022

Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation

Stance detection is typically framed as predicting the sentiment in a gi...

0 Xinliang Frederick Zhang, et al. ∙

research

∙ 05/31/2022

Extensive Study of Multiple Deep Neural Networks for Complex Random Telegraph Signals

Time-fluctuating signals are ubiquitous and diverse in many physical, ch...

0 Marcel Robitaille, et al. ∙

research

∙ 05/28/2022

Discrimination-Based Double Auction for Maximizing Social Welfare in the Electricity and Heating Market Considering Privacy Preservation

This paper proposes a doubled-sided auction mechanism with price discrim...

0 Lu Wang, et al. ∙

research

∙ 05/25/2022

LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA

We study unsupervised multi-hop reranking for multi-hop QA (MQA) with op...

0 Muhammad Khalifa, et al. ∙

research

∙ 05/02/2022

POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection

Ideology is at the core of political science research. Yet, there still ...

0 Yujian Liu, et al. ∙

research

∙ 04/30/2022

Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs

NLP-powered automatic question generation (QG) techniques carry great pe...

6 Xu Wang, et al. ∙

research

∙ 04/07/2022

Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-trained DNN-HMM-Based Acoustic-Phonetic Model

In spoken language understanding (SLU), what the user says is converted ...

0 Nick J. C. Wang, et al. ∙

research

∙ 04/01/2022

Efficient Argument Structure Extraction with Transfer Learning and Active Learning

The automation of extracting argument structures faces a pair of challen...

0 Xinyu Hua, et al. ∙

research

∙ 03/21/2022

HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization

Document structure is critical for efficient information consumption. Ho...

0 Shuyang Cao, et al. ∙

research

∙ 02/09/2022

Anchor Graph Structure Fusion Hashing for Cross-Modal Similarity Search

Cross-modal hashing still has some challenges needed to address: (1) mos...

10 Lu Wang, et al. ∙

research

∙ 11/24/2021

Auto robust relative radiometric normalization via latent change noise modelling

Relative radiometric normalization(RRN) of different satellite images of...

13 Shiqi Liu, et al. ∙

research

∙ 09/19/2021

CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization

We study generating abstractive summaries that are faithful and factuall...

0 Shuyang Cao, et al. ∙

research

∙ 08/07/2021

Controllable Summarization with Constrained Markov Decision Process

We study controllable text summarization which allows users to gain cont...

0 Hou Pong (Ken) Chan, et al. ∙

research

∙ 07/28/2021

An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers

With the advent of off-the-shelf intelligent home products and broader i...

0 Lu Wang, et al. ∙

research

∙ 07/01/2021

Controllable Open-ended Question Generation with A New Question Type Ontology

We investigate the less-explored task of generating open-ended questions...

0 Shuyang Cao, et al. ∙

research

∙ 06/24/2021

Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View

Since the first coronavirus case was identified in the U.S. on Jan. 21, ...

19 Shuang Li, et al. ∙

research

∙ 06/24/2021

Bidding via Clustering Ads Intentions: an Efficient Search Engine Marketing System for E-commerce

With the increasing scale of search engine marketing, designing an effic...

0 Cheng Jie, et al. ∙

research

∙ 06/01/2021

DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation

We study the task of long-form opinion text generation, which faces at l...

0 Xinyu Hua, et al. ∙

research

∙ 05/17/2021

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Dynamic graph modeling has recently attracted much attention due to its ...

11 Lu Wang, et al. ∙

research

∙ 04/25/2021

Unsupervised Learning of Multi-level Structures for Anomaly Detection

The main difficulty in high-dimensional anomaly detection tasks is the l...

21 Songmin Dai, et al. ∙

research

∙ 04/06/2021

Attention Head Masking for Inference Time Content Selection in Abstractive Summarization

How can we effectively inform content selection in Transformer-based abs...

0 Shuyang Cao, et al. ∙

research

∙ 04/05/2021

Efficient Attentions for Long Document Summarization

The quadratic computational and memory complexities of large Transformer...

0 Luyang Huang, et al. ∙

research

∙ 04/05/2021

Inference Time Style Control for Summarization

How to generate summaries of different styles without requiring corpora ...

0 Shuyang Cao, et al. ∙

research

∙ 03/05/2021

MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis

While many machine learning methods have been used for medical predictio...

0 Lu Wang, et al. ∙

Lu Wang

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