Search Results for author: Lu Xu

Found 30 papers, 17 papers with code

Parameter-Efficient Conversational Recommender System as a Language Processing Task

1 code implementation25 Jan 2024 Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong liu

Conversational recommender systems (CRS) aim to recommend relevant items to users by eliciting user preference through natural language conversation.

Dialogue Generation Knowledge Graphs +2

The Memory Perturbation Equation: Understanding Model's Sensitivity to Data

no code implementations30 Oct 2023 Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan

Understanding model's sensitivity to its training data is crucial but can also be challenging and costly, especially during training.

Decomposed Prompt Tuning via Low-Rank Reparameterization

1 code implementation16 Oct 2023 Yao Xiao, Lu Xu, Jiaxi Li, Wei Lu, XiaoLi Li

While prompt tuning approaches have achieved competitive performance with high efficiency, we observe that they invariably employ the same initialization process, wherein the soft prompt is either randomly initialized or derived from an existing embedding vocabulary.

Informative Scene Graph Generation via Debiasing

no code implementations10 Aug 2023 Lianli Gao, Xinyu Lyu, Yuyu Guo, Yuxuan Hu, Yuan-Fang Li, Lu Xu, Heng Tao Shen, Jingkuan Song

It integrates two components: Semantic Debiasing (SD) and Balanced Predicate Learning (BPL), for these imbalances.

Blocking Graph Generation +4

Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis

no code implementations10 Jul 2023 Mingyuan Liu, Lu Xu, Jicong Zhang

To tackle OSR, we assume that known classes could densely occupy small parts of the embedding space and the remaining sparse regions could be recognized as unknowns.

Medical Diagnosis Open Set Learning

Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data

1 code implementation16 Jun 2023 Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng

We conducted experiments on document-level and biomedical relation extraction datasets, and the results showed that our proposed self-training framework consistently outperforms existing competitive methods on the Re-DocRED and ChemDisgene datasets when the training data are incompletely annotated.

Relation Relation Extraction +1

Better Sampling of Negatives for Distantly Supervised Named Entity Recognition

1 code implementation22 May 2023 Lu Xu, Lidong Bing, Wei Lu

Distantly supervised named entity recognition (DS-NER) has been proposed to exploit the automatically labeled training data instead of human annotations.

named-entity-recognition Named Entity Recognition +1

Feature-Aligned Video Raindrop Removal with Temporal Constraints

no code implementations29 May 2022 Wending Yan, Lu Xu, Wenhan Yang, Robby T. Tan

Our single image module employs a raindrop removal network to generate initial raindrop removal results, and create a mask representing the differences between the input and initial output.

Optical Flow Estimation Rain Removal

Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images

no code implementations18 Apr 2022 Yanchao Yuan, Cancheng Li, Lu Xu, Ke Zhang, Yang Hua, Jicong Zhang

Test results show that the proposed method with dice loss function yields a Dice value of 0. 820, an IoU of 0. 701, Acc of 0. 969, and modified Hausdorff distance (MHD) of 1. 43 for 30 vulnerable cases of plaques, it outperforms some of the conventional CNN-based methods on these metrics.

Segmentation SSIM

SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis

no code implementations17 Sep 2021 Chengxi Li, Feiyu Gao, Jiajun Bu, Lu Xu, Xiang Chen, Yu Gu, Zirui Shao, Qi Zheng, Ningyu Zhang, Yongpan Wang, Zhi Yu

We inject sentiment knowledge regarding aspects, opinions, and polarities into prompt and explicitly model term relations via constructing consistency and polarity judgment templates from the ground truth triplets.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction

2 code implementations ACL 2021 Lu Xu, Yew Ken Chia, Lidong Bing

Aspect Sentiment Triplet Extraction (ASTE) is the most recent subtask of ABSA which outputs triplets of an aspect target, its associated sentiment, and the corresponding opinion term.

Aspect Sentiment Triplet Extraction Computational Efficiency +1

A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection

1 code implementation25 Jun 2021 Abdullah F. Al-Battal, Yan Gong, Lu Xu, Timothy Morton, Chen Du, Yifeng Bu 1, Imanuel R Lerman, Radhika Madhavan, Truong Q. Nguyen

Real-time accurate and robust automatic detection and tracking of anatomical structures while scanning would significantly impact diagnostic and therapeutic procedures to be consistent and efficient.

object-detection Real-Time Object Detection

Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network

no code implementations31 May 2021 Lu Xu, Yuwei Zhang, Ying Liu, Daoye Wang, Mu Zhou, Jimmy Ren, Jingwei Wei, Zhaoxiang Ye

Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health.


Better Feature Integration for Named Entity Recognition

1 code implementation NAACL 2021 Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing

We believe this is because both types of features - the contextual information captured by the linear sequences and the structured information captured by the dependency trees may complement each other.

named-entity-recognition Named Entity Recognition +1

Quasi-static limit for a hyperbolic conservation law

no code implementations11 Mar 2021 Stefano Marchesani, Stefano Olla, Lu Xu

We study the quasi-static limit for the $L^\infty$ entropy weak solution of scalar one-dimensional hyperbolic equations with strictly concave or convex flux and time dependent boundary conditions.

Analysis of PDEs 35D40, 35I04

Efficient Deep Image Denoising via Class Specific Convolution

no code implementations2 Mar 2021 Lu Xu, Jiawei Zhang, Xuanye Cheng, Feng Zhang, Xing Wei, Jimmy Ren

In this paper, we propose an efficient deep neural network for image denoising based on pixel-wise classification.

Image Denoising

A new volatility model: GQARCH-Itô model

no code implementations14 Jan 2021 Huiling Yuan, Yong Zhou, Lu Xu, Yun Lei Sun, Xiang Yu Cui

Volatility asymmetry is a hot topic in high-frequency financial market.


ComboLoss for Facial Attractiveness Analysis with Squeeze-and-Excitation Networks

1 code implementation21 Oct 2020 Lu Xu, Jinhai Xiang

Loss function is crucial for model training and feature representation learning, conventional models usually regard facial attractiveness recognition task as a regression problem, and adopt MSE loss or Huber variant loss as supervision to train a deep convolutional neural network (CNN) to predict facial attractiveness score.


Position-Aware Tagging for Aspect Sentiment Triplet Extraction

4 code implementations EMNLP 2020 Lu Xu, Hao Li, Wei Lu, Lidong Bing

Our observation is that the three elements within a triplet are highly related to each other, and this motivates us to build a joint model to extract such triplets using a sequence tagging approach.

Aspect Sentiment Triplet Extraction Position

Aspect Based Sentiment Analysis with Aspect-Specific Opinion Spans

1 code implementation EMNLP 2020 Lu Xu, Lidong Bing, Wei Lu, Fei Huang

Such a design allows the model to extract aspect-specific opinion spans and then evaluate sentiment polarity by exploiting the extracted opinion features.

Aspect-Based Sentiment Analysis Extract Aspect

XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service

1 code implementation14 Dec 2019 Lu Xu, Yating Wang

In recent years, artificial intelligence (AI) has aroused much attention among both industrial and academic areas.

Distributed, Parallel, and Cluster Computing

Data-driven Approach for Quality Evaluation on Knowledge Sharing Platform

1 code implementation1 Mar 2019 Lu Xu, Jinhai Xiang, Yating Wang, Fuchuan Ni

In recent years, voice knowledge sharing and question answering (Q&A) platforms have attracted much attention, which greatly facilitate the knowledge acquisition for people.

Question Answering

Computer-aided implant design for the restoration of cranial defects

no code implementations23 Jun 2017 Xiaojun Chen, Lu Xu, Xing Li, Jan Egger

Patient-specific cranial implants are important and necessary in the surgery of cranial defect restoration.

A semi-automatic computer-aided method for surgical template design

no code implementations4 Feb 2016 Xiaojun Chen, Lu Xu, Yue Yang, Jan Egger

Then, the offset surface of the inner surface is obtained through contouring the distance field of the inner surface, and segmented to generate the outer surface.


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