b'Hao Zhou'

research

∙ 09/07/2023

On Large Language Models' Selection Bias in Multi-Choice Questions

Multi-choice questions (MCQs) serve as a common yet important task forma...

0 Chujie Zheng, et al. ∙

research

∙ 08/23/2023

Sign Language Translation with Iterative Prototype

This paper presents IP-SLT, a simple yet effective framework for sign la...

0 Huijie Yao, et al. ∙

research

∙ 08/15/2023

A Multilayer Perceptron-based Fast Sunlight Assessment for the Conceptual Design of Residential Neighborhoods under Chinese Policy

In Chinese building codes, it is required that residential buildings rec...

0 Can Jiang, et al. ∙

research

∙ 07/29/2023

Towards Codable Text Watermarking for Large Language Models

As large language models (LLMs) generate texts with increasing fluency a...

0 Lean Wang, et al. ∙

research

∙ 07/22/2023

A Monotone Discretization for the Fractional Obstacle Problem

We introduce a novel monotone discretization method for addressing obsta...

0 Rubing Han, et al. ∙

research

∙ 07/12/2023

Unified Molecular Modeling via Modality Blending

Self-supervised molecular representation learning is critical for molecu...

0 Qiying Yu, et al. ∙

research

∙ 07/06/2023

Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning

rApps and xApps need to be controlled and orchestrated well in the open ...

0 Md Arafat Habib, et al. ∙

research

∙ 05/24/2023

Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions

Large-scale Pretrained Language Models (LLMs), such as ChatGPT and GPT4,...

0 Jiahuan Li, et al. ∙

research

∙ 05/23/2023

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

In-context learning (ICL) emerges as a promising capability of large lan...

0 Lean Wang, et al. ∙

research

∙ 05/14/2023

Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning

Recent years have noticed an increasing interest among academia and indu...

0 Mina Razghandi, et al. ∙

research

∙ 05/08/2023

Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias

Pre-trained Language Models (PLMs) may be poisonous with backdoors or bi...

0 Zhiyuan Zhang, et al. ∙

research

∙ 05/07/2023

HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction

Entity relation extraction consists of two sub-tasks: entity recognition...

0 Yijun Wang, et al. ∙

research

∙ 05/04/2023

Re^3Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for Long-Turn Open-Domain Dialogue Pre-training

Large-scale open-domain dialogue data crawled from public social media h...

0 Jiaxin Wen, et al. ∙

research

∙ 04/22/2023

On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering

Traffic steering (TS) is a promising approach to support various service...

0 Han Zhang, et al. ∙

research

∙ 03/27/2023

Learning Harmonic Molecular Representations on Riemannian Manifold

Molecular representation learning plays a crucial role in AI-assisted dr...

0 Yiqun Wang, et al. ∙

research

∙ 03/12/2023

Towards Diverse Temporal Grounding under Single Positive Labels

Temporal grounding aims to retrieve moments of the described event withi...

0 Hao Zhou, et al. ∙

research

∙ 02/01/2023

Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning

The growing adoption of mmWave frequency bands to realize the full poten...

0 Ycaro Dantas, et al. ∙

research

∙ 01/29/2023

Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps

The privacy of personal information has received significant attention i...

0 Kaifa Zhao, et al. ∙

research

∙ 01/28/2023

On Pre-trained Language Models for Antibody

Antibodies are vital proteins offering robust protection for the human b...

0 Danqing Wang, et al. ∙

research

∙ 01/26/2023

Graph Contrastive Learning for Skeleton-based Action Recognition

In the field of skeleton-based action recognition, current top-performin...

0 Xiaohu Huang, et al. ∙

research

∙ 01/25/2023

Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning

Federated Learning (FL) has become a popular distributed learning paradi...

0 Wenkai Yang, et al. ∙

research

∙ 01/18/2023

Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments

In 5G non-standalone mode, an intelligent traffic steering mechanism can...

0 Md Arafat Habib, et al. ∙

research

∙ 01/12/2023

Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning

In 5G non-standalone mode, traffic steering is a critical technique to t...

0 Md Arafat Habib, et al. ∙

research

∙ 12/18/2022

Knowledge Transfer and Reuse: A Case Study of AI-enabled Resource Management in RAN Slicing

An efficient resource management scheme is critical to enable network sl...

0 Hao Zhou, et al. ∙

research

∙ 11/28/2022

Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing

Marketing is an important mechanism to increase user engagement and impr...

0 Hao Zhou, et al. ∙

research

∙ 11/28/2022

Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model

Antimicrobial peptide (AMP) is a promising therapy in the treatment of b...

0 Danqing Wang, et al. ∙

research

∙ 10/18/2022

ROSE: Robust Selective Fine-tuning for Pre-trained Language Models

Even though the large-scale language models have achieved excellent perf...

0 Lan Jiang, et al. ∙

research

∙ 10/13/2022

Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition

Due to the absence of connectives, implicit discourse relation recogniti...

0 Hao Zhou, et al. ∙

research

∙ 09/30/2022

IMB-NAS: Neural Architecture Search for Imbalanced Datasets

Class imbalance is a ubiquitous phenomenon occurring in real world data ...

0 Rahul Duggal, et al. ∙

research

∙ 09/27/2022

Towards Regression-Free Neural Networks for Diverse Compute Platforms

With the shift towards on-device deep learning, ensuring a consistent be...

0 Rahul Duggal, et al. ∙

research

∙ 08/30/2022

FDB: Fraud Dataset Benchmark

Standardized datasets and benchmarks have spurred innovations in compute...

0 Prince Grover, et al. ∙

research

∙ 08/16/2022

Manual-Guided Dialogue for Flexible Conversational Agents

How to build and use dialogue data efficiently, and how to deploy models...

0 Ryuichi Takanobu, et al. ∙

research

∙ 08/02/2022

Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing

Recently, open radio access network (O-RAN) has become a promising techn...

0 Han Zhang, et al. ∙

research

∙ 06/13/2022

On the Learning of Non-Autoregressive Transformers

Non-autoregressive Transformer (NAT) is a family of text generation mode...

0 Fei Huang, et al. ∙

research

∙ 05/26/2022

Backward Euler method for stochastic differential equations with non-Lipschitz coefficients

We study the traditional backward Euler method for m-dimensional stochas...

0 Hao Zhou, et al. ∙

research

∙ 05/09/2022

Enhancing Cross-lingual Transfer by Manifold Mixup

Based on large-scale pre-trained multilingual representations, recent cr...

0 Huiyun Yang, et al. ∙

research

∙ 04/20/2022

One-Class Model for Fabric Defect Detection

An automated and accurate fabric defect inspection system is in high dem...

10 Hao Zhou, et al. ∙

research

∙ 04/08/2022

Contextual Representation Learning beyond Masked Language Modeling

How do masked language models (MLMs) such as BERT learn contextual repre...

0 Zhiyi Fu, et al. ∙

research

∙ 04/05/2022

latent-GLAT: Glancing at Latent Variables for Parallel Text Generation

Recently, parallel text generation has received widespread attention due...

5 Yu Bao, et al. ∙

research

∙ 04/02/2022

CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation

Existing reference-free metrics have obvious limitations for evaluating ...

0 Pei Ke, et al. ∙

research

∙ 03/16/2022

E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning

The ability to recognize analogies is fundamental to human cognition. Ex...

11 Jiangjie Chen, et al. ∙

research

∙ 02/22/2022

Forgiving Debt in Financial Network Games

A financial system is represented by a network, where nodes correspond t...

0 Panagiotis Kanellopoulos, et al. ∙

research

∙ 01/19/2022

Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home

Data is the fuel of data science and machine learning techniques for sma...

0 Mina Razghandi, et al. ∙

research

∙ 01/19/2022

Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN)

Recently, the concept of open radio access network (O-RAN) has been prop...

0 Han Zhang, et al. ∙

research

∙ 12/10/2021

Unsupervised Editing for Counterfactual Stories

Creating what-if stories requires reasoning about prior statements and p...

0 Jiangjie Chen, et al. ∙

research

∙ 11/22/2021

Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures

Microgrids (MGs) are important players for the future transactive energy...

11 Hao Zhou, et al. ∙

research

∙ 11/09/2021

Learning Logic Rules for Document-level Relation Extraction

Document-level relation extraction aims to identify relations between en...

0 Dongyu Ru, et al. ∙

research

∙ 11/08/2021

A Survey on Green Deep Learning

In recent years, larger and deeper models are springing up and continuou...

0 Jingjing Xu, et al. ∙

research

∙ 10/28/2021

Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction

Pedestrian trajectory prediction is a key technology in many application...

0 Hao Zhou, et al. ∙

research

∙ 10/23/2021

Knowledge Transfer based Radio and Computation Resource Allocation for 5G RAN Slicing

To implement network slicing in 5G, resource allocation is a key functio...

0 Hao Zhou, et al. ∙

Hao Zhou

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