b'Liu Yang'

research

∙ 04/17/2023

In-Context Operator Learning for Differential Equation Problems

This paper introduces a new neural-network-based approach, namely IN-con...

0 Liu Yang, et al. ∙

research

∙ 04/05/2023

Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System

In the realm of search systems, multi-stage cascade architecture is a pr...

0 Qihang Zhao, et al. ∙

research

∙ 04/04/2023

A Survey on Vertical Federated Learning: From a Layered Perspective

Vertical federated learning (VFL) is a promising category of federated l...

0 Liu Yang, et al. ∙

research

∙ 01/23/2023

GP-NAS-ensemble: a model for NAS Performance Prediction

It is of great significance to estimate the performance of a given model...

0 Kunlong Chen, et al. ∙

research

∙ 12/04/2022

SoK: Fully Homomorphic Encryption Accelerators

Fully Homomorphic Encryption (FHE) is a key technology enabling privacy-...

0 Junxue Zhang, et al. ∙

research

∙ 10/14/2022

Generative Adversarial Learning for Trusted and Secure Clustering in Industrial Wireless Sensor Networks

Traditional machine learning techniques have been widely used to establi...

0 Liu Yang, et al. ∙

research

∙ 10/06/2022

A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets

Weight decay is one of the most widely used forms of regularization in d...

5 Liu Yang, et al. ∙

research

∙ 08/02/2022

Generative Adversarial Learning for Intelligent Trust Management in 6G Wireless Networks

Emerging six generation (6G) is the integration of heterogeneous wireles...

2 Liu Yang, et al. ∙

research

∙ 07/21/2022

An Evolutionary Game based Secure Clustering Protocol with Fuzzy Trust Evaluation and Outlier Detection for Wireless Sensor Networks

Trustworthy and reliable data delivery is a challenging task in Wireless...

5 Liu Yang, et al. ∙

research

∙ 07/20/2022

A Secure Clustering Protocol with Fuzzy Trust Evaluation and Outlier Detection for Industrial Wireless Sensor Networks

Security is one of the major concerns in Industrial Wireless Sensor Netw...

6 Liu Yang, et al. ∙

research

∙ 07/19/2022

An Intelligent Trust Cloud Management Method for Secure Clustering in 5G enabled Internet of Medical Things

5G edge computing enabled Internet of Medical Things (IoMT) is an effici...

8 Liu Yang, et al. ∙

research

∙ 07/17/2022

An Intelligent Deterministic Scheduling Method for Ultra-Low Latency Communication in Edge Enabled Industrial Internet of Things

Edge enabled Industrial Internet of Things (IIoT) platform is of great s...

9 Yinzhi Lu, et al. ∙

research

∙ 06/28/2022

Secure Forward Aggregation for Vertical Federated Neural Networks

Vertical federated learning (VFL) is attracting much attention because i...

1 Shuowei Cai, et al. ∙

research

∙ 02/24/2022

Rare Gems: Finding Lottery Tickets at Initialization

It has been widely observed that large neural networks can be pruned to ...

5 Kartik Sreenivasan, et al. ∙

research

∙ 08/18/2021

Practical and Secure Federated Recommendation with Personalized Masks

Federated recommendation is a new notion of private distributed recommen...

0 Liu Yang, et al. ∙

research

∙ 06/30/2021

The Threat of Offensive AI to Organizations

AI has provided us with the ability to automate tasks, extract informati...

21 Yisroel Mirsky, et al. ∙

research

∙ 06/14/2021

Pre-Trained Models: Past, Present and Future

Large-scale pre-trained models (PTMs) such as BERT and GPT have recently...

6 Han Xu, et al. ∙

research

∙ 05/09/2021

Passage Retrieval for Outside-Knowledge Visual Question Answering

In this work, we address multi-modal information needs that contain text...

0 Chen Qu, et al. ∙

research

∙ 04/15/2021

Privacy-Adaptive BERT for Natural Language Understanding

When trying to apply the recent advance of Natural Language Understandin...

10 Chen Qu, et al. ∙

research

∙ 03/03/2021

Weakly-Supervised Open-Retrieval Conversational Question Answering

Recent studies on Question Answering (QA) and Conversational QA (ConvQA)...

1 Chen Qu, et al. ∙

research

∙ 02/06/2021

When NAS Meets Watermarking: Ownership Verification of DNN Models via Cache Side Channels

We present a novel watermarking scheme to verify the ownership of DNN mo...

0 Lou Xiaoxuan, et al. ∙

research

∙ 01/17/2021

Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates

We propose a simple but effective modification of the discriminators, na...

5 Liu Yang, et al. ∙

research

∙ 12/18/2020

Flow-based Generative Models for Learning Manifold to Manifold Mappings

Many measurements or observations in computer vision and machine learnin...

17 Xingjian Zhen, et al. ∙

research

∙ 11/25/2020

Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations

Intelligent personal assistant systems for information-seeking conversat...

8 Haojie Pan, et al. ∙

research

∙ 11/08/2020

Long Range Arena: A Benchmark for Efficient Transformers

Transformers do not scale very well to long sequence lengths largely bec...

5 Yi Tay, et al. ∙

research

∙ 10/07/2020

DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling

Pre-trained models like BERT (Devlin et al., 2018) have dominated NLP / ...

0 Jiecao Chen, et al. ∙

research

∙ 09/09/2020

Particle Filtering Under General Regime Switching

In this paper, we consider a new framework for particle filtering under ...

0 Yousef El-Laham, et al. ∙

research

∙ 08/24/2020

Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker-Planck Equation and Physics-informed Neural Networks

The Fokker-Planck (FP) equation governing the evolution of the probabili...

9 Xiaoli Chen, et al. ∙

research

∙ 08/05/2020

Generative Ensemble-Regression: Learning Stochastic Dynamics from Discrete Particle Ensemble Observations

We propose a new method for inferring the governing stochastic ordinary ...

14 Liu Yang, et al. ∙

research

∙ 08/02/2020

SeqDialN: Sequential Visual Dialog Networks in Joint Visual-Linguistic Representation Space

In this work, we formulate a visual dialog as an information flow in whi...

0 Liu Yang, et al. ∙

research

∙ 07/07/2020

Divide-and-Shuffle Synchronization for Distributed Machine Learning

Distributed Machine Learning suffers from the bottleneck of synchronizat...

6 Weiyan Wang, et al. ∙

research

∙ 06/21/2020

Match^2: A Matching over Matching Model for Similar Question Identification

Community Question Answering (CQA) has become a primary means for people...

0 Zizhen Wang, et al. ∙

research

∙ 05/22/2020

Open-Retrieval Conversational Question Answering

Conversational search is one of the ultimate goals of information retrie...

0 Chen Qu, et al. ∙

research

∙ 04/26/2020

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching

Many information retrieval and natural language processing problems can ...

0 Liu Yang, et al. ∙

research

∙ 03/13/2020

B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data

We propose a Bayesian physics-informed neural network (B-PINN) to solve ...

17 Liu Yang, et al. ∙

research

∙ 03/06/2020

Reinforcement Learning for Active Flow Control in Experiments

We demonstrate experimentally the feasibility of applying reinforcement ...

0 Dixia Fan, et al. ∙

research

∙ 02/26/2020

Sparse Sinkhorn Attention

We propose Sparse Sinkhorn Attention, a new efficient and sparse method ...

0 Yi Tay, et al. ∙

research

∙ 02/20/2020

APTER: Aggregated Prognosis Through Exponential Reweighting

This paper considers the task of learning how to make a prognosis of a p...

0 Kristiaan Pelckmans, et al. ∙

research

∙ 02/03/2020

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems

Personal assistant systems, such as Apple Siri, Google Assistant, Amazon...

0 Liu Yang, et al. ∙

research

∙ 11/05/2019

A GMM based algorithm to generate point-cloud and its application to neuroimaging

Recent years have witnessed the emergence of 3D medical imaging techniqu...

0 Liu Yang, et al. ∙

research

∙ 11/05/2019

An "augmentation-free" rotation invariant classification scheme on point-cloud and its application to neuroimaging

Recent years have witnessed the emergence and increasing popularity of 3...

0 Liu Yang, et al. ∙

research

∙ 10/31/2019

Computing and Testing Small Connectivity in Near-Linear Time and Queries via Fast Local Cut Algorithms

Consider the following "local" cut-detection problem in a directed graph...

0 Sebastian Forster, et al. ∙

research

∙ 10/29/2019

Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs

Uncertainty quantification for forward and inverse problems is a central...

42 Liu Yang, et al. ∙

research

∙ 10/29/2019

POIRot: A rotation invariant omni-directional pointnet

Point-cloud is an efficient way to represent 3D world. Analysis of point...

12 Liu Yang, et al. ∙

research

∙ 08/29/2019

Potential Flow Generator with L_2 Optimal Transport Regularity for Generative Models

We propose a potential flow generator with L_2 optimal transport regular...

2 Liu Yang, et al. ∙

research

∙ 08/26/2019

Attentive History Selection for Conversational Question Answering

Conversational question answering (ConvQA) is a simplified but concrete ...

0 Chen Qu, et al. ∙

research

∙ 05/14/2019

BERT with History Answer Embedding for Conversational Question Answering

Conversational search is an emerging topic in the information retrieval ...

0 Chen Qu, et al. ∙

research

∙ 04/19/2019

A Hybrid Retrieval-Generation Neural Conversation Model

Intelligent personal assistant systems, with either text-based or voice-...

0 Liu Yang, et al. ∙

research

∙ 04/17/2019

A Faster Local Algorithm for Detecting Bounded-Size Cuts with Applications to Higher-Connectivity Problems

Consider the following "local" cut-detection problem in a directed graph...

0 Sebastian Forster, et al. ∙

research

∙ 04/17/2019

Contextual Aware Joint Probability Model Towards Question Answering System

In this paper, we address the question answering challenge with the SQuA...

0 Liu Yang, et al. ∙

Liu Yang

Featured Co-authors