b'Wei Peng'

research

∙ 05/17/2023

Lingo3DMol: Generation of a Pocket-based 3D Molecule using a Language Model

Structure-based drug design powered by deep generative models have attra...

0 Lvwei Wang, et al. ∙

research

∙ 03/17/2023

Video Action Recognition with Attentive Semantic Units

Visual-Language Models (VLMs) have significantly advanced action video r...

0 Yifei Chen, et al. ∙

research

∙ 03/13/2023

Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling

Table structure recognition aims to extract the logical and physical str...

0 Yongshuai Huang, et al. ∙

research

∙ 12/06/2022

RBF-MGN:Solving spatiotemporal PDEs with Physics-informed Graph Neural Network

Physics-informed neural networks (PINNs) have lately received significan...

0 Zixue Xiang, et al. ∙

research

∙ 12/01/2022

IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection

The task of response selection in multi-turn dialogue is to find the bes...

0 Jingcheng Deng, et al. ∙

research

∙ 11/21/2022

Data Leakage and Evaluation Issues in Micro-Expression Analysis

Micro-expressions have drawn increasing interest lately due to various p...

0 Tuomas Varanka, et al. ∙

research

∙ 11/11/2022

Misinformation Detection using Persuasive Writing Strategies

The spread of misinformation is a prominent problem in today's society, ...

0 Joseph Romain, et al. ∙

research

∙ 11/01/2022

FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation

Emotional Support Conversation (ESConv) aims to reduce help-seekers'emot...

15 Wei Peng, et al. ∙

research

∙ 10/19/2022

Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks

Physics-informed neural networks (PINNs) have been proposed to solve two...

0 Wei Peng, et al. ∙

research

∙ 10/14/2022

Psychology-guided Controllable Story Generation

Controllable story generation is a challenging task in the field of NLP,...

6 Yuqiang Xie, et al. ∙

research

∙ 09/21/2022

FNeVR: Neural Volume Rendering for Face Animation

Face animation, one of the hottest topics in computer vision, has achiev...

0 Bohan Zeng, et al. ∙

research

∙ 09/14/2022

COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities

Motivations, emotions, and actions are inter-related essential factors i...

7 Yuqiang Xie, et al. ∙

research

∙ 09/01/2022

Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites

The rapid analysis of thermal stress and deformation plays a pivotal rol...

0 Zeyu Cao, et al. ∙

research

∙ 08/09/2022

ASR Error Correction with Constrained Decoding on Operation Prediction

Error correction techniques remain effective to refine outputs from auto...

0 Jingyuan Yang, et al. ∙

research

∙ 08/09/2022

Positively transitioned sentiment dialogue corpus for developing emotion-affective open-domain chatbots

In this paper, we describe a data enhancement method for developing Emil...

0 Weixuan Wang, et al. ∙

research

∙ 07/20/2022

Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry

Few-Shot Class-Incremental Learning (FSCIL) aims at incrementally learni...

0 Yawen Cui, et al. ∙

research

∙ 06/24/2022

Do You Know My Emotion? Emotion-Aware Strategy Recognition towards a Persuasive Dialogue System

Persuasive strategy recognition task requires the system to recognize th...

3 Wei Peng, et al. ∙

research

∙ 05/14/2022

Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data

Physics-informed extreme learning machine (PIELM) has recently received ...

16 Xu Liu, et al. ∙

research

∙ 05/07/2022

CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective

Intention, emotion and action are important psychological factors in hum...

5 Wei Peng, et al. ∙

research

∙ 05/02/2022

RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks

Learning solutions of partial differential equations (PDEs) with Physics...

0 Wei Peng, et al. ∙

research

∙ 05/01/2022

Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition

Micro-expression recognition (MER) is valuable because the involuntary n...

0 Jinsheng Wei, et al. ∙

research

∙ 04/27/2022

Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation

Emotional support conversation aims at reducing the emotional distress o...

0 Wei Peng, et al. ∙

research

∙ 04/05/2022

Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks

The inherent slow imaging speed of Magnetic Resonance Image (MRI) has sp...

3 Wei Peng, et al. ∙

research

∙ 03/16/2022

Hyperbolic Uncertainty Aware Semantic Segmentation

Semantic segmentation (SS) aims to classify each pixel into one of the p...

0 Bike Chen, et al. ∙

research

∙ 03/15/2022

A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain

In the whole aircraft structural optimization loop, thermal analysis pla...

0 Kairui Bao, et al. ∙

research

∙ 02/18/2022

CLSEG: Contrastive Learning of Story Ending Generation

Story Ending Generation (SEG) is a challenging task in natural language ...

3 Yuqiang Xie, et al. ∙

research

∙ 02/14/2022

Modeling Intention, Emotion and External World in Dialogue Systems

Intention, emotion and action are important elements in human activities...

0 Wei Peng, et al. ∙

research

∙ 02/11/2022

RIS-Aided Wireless Communications: Extra Degrees of Freedom via Rotation and Location Optimization

We consider the extra degree of freedom offered by the rotation of the r...

0 Yajun Cheng, et al. ∙

research

∙ 01/18/2022

Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks

Temperature field inversion of heat-source systems (TFI-HSS) with limite...

13 Xu Liu, et al. ∙

research

∙ 09/18/2021

Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona

In this paper, we describe approaches for developing Emily, an emotion-a...

0 Weixuan Wang, et al. ∙

research

∙ 08/17/2021

Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer

With the strength of deep generative models, 3D pose transfer regains in...

0 Haoyu Chen, et al. ∙

research

∙ 08/13/2021

TPRM: A Topic-based Personalized Ranking Model for Web Search

Ranking models have achieved promising results, but it remains challengi...

0 Minghui Huang, et al. ∙

research

∙ 07/23/2021

A novel meta-learning initialization method for physics-informed neural networks

Physics-informed neural networks (PINNs) have been widely used to solve ...

13 Xu Liu, et al. ∙

research

∙ 07/09/2021

IDRLnet: A Physics-Informed Neural Network Library

Physics Informed Neural Network (PINN) is a scientific computing framewo...

0 Wei Peng, et al. ∙

research

∙ 07/04/2021

Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering

It is prevalent to utilize external knowledge to help machine answer que...

10 Luxi Xing, et al. ∙

research

∙ 06/22/2021

Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems

Temperature monitoring during the life time of heat source components in...

11 Zhiqiang Gong, et al. ∙

research

∙ 06/16/2021

Coreference Augmentation for Multi-Domain Task-Oriented Dialogue State Tracking

Dialogue State Tracking (DST), which is the process of inferring user go...

0 Ting Han, et al. ∙

research

∙ 06/10/2021

Bias, Consistency, and Alternative Perspectives of the Infinitesimal Jackknife

Though introduced nearly 50 years ago, the infinitesimal jackknife (IJ) ...

0 Wei Peng, et al. ∙

research

∙ 03/08/2021

MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension

Question answering systems usually use keyword searches to retrieve pote...

9 Wei Peng, et al. ∙

research

∙ 02/25/2021

IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation

This paper introduces our systems for all three subtasks of SemEval-2021...

11 Yuqiang Xie, et al. ∙

research

∙ 01/12/2021

Hyperbolic Deep Neural Networks: A Survey

Recently, there has been a raising surge of momentum for deep representa...

25 Wei Peng, et al. ∙

research

∙ 12/30/2020

Robustness Testing of Language Understanding in Dialog Systems

Most language understanding models in dialog systems are trained on a sm...

0 Jiexi Liu, et al. ∙

research

∙ 12/14/2020

Quantum neural networks with deep residual learning

Inspired by the success of neural networks in the classical machine lear...

0 Yanying Liang, et al. ∙

research

∙ 10/20/2020

Bi-directional Cognitive Thinking Network for Machine Reading Comprehension

We propose a novel Bi-directional Cognitive Knowledge Framework (BCKF) f...

12 Wei Peng, et al. ∙

research

∙ 10/12/2020

MultiWOZ 2.3: A multi-domain task-oriented dataset enhanced with annotation corrections and co-reference annotation

Task-oriented dialogue systems have made unprecedented progress with mul...

0 Ting Han, et al. ∙

research

∙ 08/10/2020

2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework

To address the problem of training on small datasets for action recognit...

0 Haoyu Chen, et al. ∙

research

∙ 07/30/2020

Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition

Graph Convolutional Networks (GCNs) have already demonstrated their powe...

0 Wei Peng, et al. ∙

research

∙ 07/02/2020

IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE

This paper introduces our systems for the first two subtasks of SemEval ...

0 Luxi Xing, et al. ∙

research

∙ 06/17/2020

Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition

Composite-database micro-expression recognition is attracting increasing...

0 Zhaoqiang Xia, et al. ∙

research

∙ 04/17/2020

Accelerating Physics-Informed Neural Network Training with Prior Dictionaries

Physics-Informed Neural Networks (PINNs) can be regarded as general-purp...

49 Wei Peng, et al. ∙

Wei Peng

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