2 code implementations • 9 Apr 2024 • Xiuqi Deng, Lu Xu, Xiyao Li, Jinkai Yu, Erpeng Xue, Zhongyuan Wang, Di Zhang, Zhaojie Liu, Guorui Zhou, Yang song, Na Mou, Shen Jiang, Han Li
In this paper, we propose an industrial multimodal recommendation framework named EM3: End-to-end training of Multimodal Model and ranking Model, which sufficiently utilizes multimodal information and allows personalized ranking tasks to directly train the core modules in the multimodal model to obtain more task-oriented content features, without overburdening resource consumption.
no code implementations • 19 Mar 2024 • HongYu Zhou, Jiahao Shao, Lu Xu, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao
Holistic understanding of urban scenes based on RGB images is a challenging yet important problem.
1 code implementation • 26 Jan 2024 • Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song
LLMs are prompted to generate extensive content in response to these meta-questions.
1 code implementation • 25 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.
1 code implementation • 30 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.
1 code implementation • 16 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.
no code implementations • 10 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.
no code implementations • 10 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.
1 code implementation • 16 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.
1 code implementation • 22 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.
no code implementations • 29 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.
3 code implementations • 25 May 2022 • Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng, Sharifah Mahani Aljunied
We analyze the causes and effects of the overwhelming false negative problem in the DocRED dataset.
no code implementations • 18 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.
no code implementations • 13 Jan 2022 • Chao Zhao, Daojian Zeng, Lu Xu, Jianhua Dai
Document-level Relation Extraction (DRE) aims to recognize the relations between two entities.
Ranked #5 on Relation Extraction on CDR
no code implementations • 17 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
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.
Ranked #5 on Aspect Sentiment Triplet Extraction on ASTE-Data-V2
Aspect Sentiment Triplet Extraction Computational Efficiency +1
1 code implementation • 25 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.
no code implementations • 31 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.
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.
no code implementations • 11 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
no code implementations • 2 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.
no code implementations • 14 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.
Methodology
1 code implementation • 21 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.
Multimedia
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.
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.
Ranked #3 on Aspect Sentiment Triplet Extraction on SemEval
1 code implementation • 21 Jan 2020 • Luyao Yuan, Zipeng Fu, Jingyue Shen, Lu Xu, Junhong Shen, Song-Chun Zhu
Pragmatics studies how context can contribute to language meanings.
1 code implementation • 14 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
6 code implementations • 5 Nov 2019 • Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si
In this paper, we introduce a new subtask under ABSA, named aspect sentiment triplet extraction (ASTE).
Ranked #5 on Aspect Sentiment Triplet Extraction on SemEval
1 code implementation • 1 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.
1 code implementation • 20 Mar 2018 • Lu Xu, Jinhai Xiang, Xiaohui Yuan
Feature extraction plays a significant part in computer vision tasks.
Ranked #1 on Facial Beauty Prediction on SCUT-FBP
no code implementations • 23 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.
no code implementations • 4 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.