1 code implementation • COLING 2022 • Yinyi Wei, Shuaipeng Liu, Jianwei Lv, Xiangyu Xi, Hailei Yan, Wei Ye, Tong Mo, Fan Yang, Guanglu Wan
Many recent sentence-level event detection efforts focus on enriching sentence semantics, e. g., via multi-task or prompt-based learning.
no code implementations • Findings (EMNLP) 2021 • Peiyang Liu, Xi Wang, Sen Wang, Wei Ye, Xiangyu Xi, Shikun Zhang
Current embedding-based large-scale retrieval models are trained with 0-1 hard label that indicates whether a query is relevant to a document, ignoring rich information of the relevance degree.
no code implementations • ECCV 2020 • Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang , Shikun Zhang
Recently, stacked networks show powerful performance in Image Restoration, such as challenging motion deblurring problems.
no code implementations • COLING 2022 • Peiyang Liu, Xiangyu Xi, Wei Ye, Shikun Zhang
This paper presents a novel keyword-based LS method to automatically generate soft labels from hard labels via exploiting the relevance between labels and text instances.
1 code implementation • 22 Feb 2023 • Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxin Jiao, Yue Zhang, Xing Xie
In this paper, we conduct a thorough evaluation of the robustness of ChatGPT from the adversarial and out-of-distribution (OOD) perspective.
no code implementations • 29 Dec 2022 • Bo Li, Wei Ye, Jinglei Zhang, Shikun Zhang
Specifically, for a given sample, we build a label graph to review candidate labels in the Top-k prediction set and learn the connections between them.
Ranked #1 on
Relation Extraction
on TACRED-Revisited
1 code implementation • 29 Dec 2022 • Bo Li, Dingyao Yu, Wei Ye, Jinglei Zhang, Shikun Zhang
Sequence generation demonstrates promising performance in recent information extraction efforts, by incorporating large-scale pre-trained Seq2Seq models.
Ranked #1 on
Relation Extraction
on sciERC-sent
1 code implementation • 25 Nov 2022 • Xiangyu Xi, Jianwei Lv, Shuaipeng Liu, Wei Ye, Fan Yang, Guanglu Wan
As a pioneering exploration that expands event detection to the scenarios involving informal and heterogeneous texts, we propose a new large-scale Chinese event detection dataset based on user reviews, text conversations, and phone conversations in a leading e-commerce platform for food service.
no code implementations • 16 Nov 2022 • Zhanghao Sun, Wei Ye, Jinhui Xiong, Gyeongmin Choe, Jialiang Wang, Shuochen Su, Rakesh Ranjan
Direct time-of-flight (dToF) sensors are promising for next-generation on-device 3D sensing.
no code implementations • 15 Nov 2022 • Yeying Jin, Wenhan Yang, Wei Ye, Yuan Yuan, Robby T. Tan
ShadowDiffusion focuses on single-image shadow removal, even in the presence of soft and self shadows.
1 code implementation • 19 Oct 2022 • Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu
A recent trend is to use Transformer or its variants in music generation, which is, however, suboptimal, because the full attention cannot efficiently model the typically long music sequences (e. g., over 10, 000 tokens), and the existing models have shortcomings in generating musical repetition structures.
no code implementations • COLING 2022 • Zile Qiao, Wei Ye, Tong Zhang, Tong Mo, Weiping Li, Shikun Zhang
Answering natural language questions on knowledge graphs (KGQA) remains a great challenge in terms of understanding complex questions via multi-hop reasoning.
no code implementations • 15 Aug 2022 • Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides
Beyond classification, Conv-Adapter can generalize to detection and segmentation tasks with more than 50% reduction of parameters but comparable performance to the traditional full fine-tuning.
1 code implementation • 12 Aug 2022 • Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, RenJie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
We further provide the pre-trained versions of the state-of-the-art neural models for CV tasks to make the cost affordable for further tuning.
1 code implementation • 2 Jun 2022 • Wei Ye, Hao Tian, Qijun Chen
To mitigate the two challenges, we propose a novel graph kernel called the Multi-scale Path-pattern Graph kernel (MPG), at the heart of which is the multi-scale path-pattern node feature map.
no code implementations • 13 May 2022 • Xiangyu Xi, Chenxu Lv, Yuncheng Hua, Wei Ye, Chaobo Sun, Shuaipeng Liu, Fan Yang, Guanglu Wan
Though widely used in industry, traditional task-oriented dialogue systems suffer from three bottlenecks: (i) difficult ontology construction (e. g., intents and slots); (ii) poor controllability and interpretability; (iii) annotation-hungry.
1 code implementation • 15 Mar 2022 • Wei Ye, Jiayi Yang, Sourav Medya, Ambuj Singh
Graph neural networks (GNNs) often assume strong homophily in graphs, seldom considering heterophily which means connected nodes tend to have different class labels and dissimilar features.
1 code implementation • 24 Jan 2022 • Wei Ye, Zexi Huang, Yunqi Hong, Ambuj Singh
To solve these two issues, we propose a new graph neural network called GND-Nets (for Graph Neural Diffusion Networks) that exploits the local and global neighborhood information of a vertex in a single layer.
1 code implementation • 8 Jan 2022 • Wei Ye, Francesco Bullo, Noah Friedkin, Ambuj K Singh
AI and humans bring complementary skills to group deliberations.
no code implementations • 29 Dec 2021 • Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao
Inspired by the observation that low-frequency words form a more compact embedding space, we tackle this challenge from a representation learning perspective.
no code implementations • 17 Nov 2021 • Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath
We present a framework named Consistent Online Dynamic Depth (CODD) to produce temporally consistent depth estimates in dynamic scenes in an online setting.
1 code implementation • CVPR 2022 • Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
Therefore, we propose HRViT, which enhances ViTs to learn semantically-rich and spatially-precise multi-scale representations by integrating high-resolution multi-branch architectures with ViTs.
Ranked #18 on
Semantic Segmentation
on Cityscapes val
2 code implementations • 30 Sep 2021 • Wengang Guo, Kaiyan Lin, Wei Ye
To this end, we discard the decoder and propose a greedy method to optimize the representation.
Ranked #1 on
Deep Clustering
on Coil-20
no code implementations • ACL 2021 • Tong Zhang, Long Zhang, Wei Ye, Bo Li, Jinan Sun, Xiaoyu Zhu, Wen Zhao, Shikun Zhang
This paper proposes a sophisticated neural architecture to incorporate bilingual dictionaries into Neural Machine Translation (NMT) models.
1 code implementation • 12 Jul 2021 • Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, Shikun Zhang
Legal judgment prediction(LJP) is an essential task for legal AI.
no code implementations • ACL 2021 • Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, Wei Wu
Capturing interactions among event arguments is an essential step towards robust event argument extraction (EAE).
no code implementations • NAACL 2021 • Peiyang Liu, Sen Wang, Xi Wang, Wei Ye, Shikun Zhang
The embedding-based large-scale query-document retrieval problem is a hot topic in the information retrieval (IR) field.
no code implementations • NAACL 2021 • Long Zhang, Tong Zhang, Haibo Zhang, Baosong Yang, Wei Ye, Shikun Zhang
Document-level neural machine translation (NMT) has proven to be of profound value for its effectiveness on capturing contextual information.
1 code implementation • 28 Apr 2021 • Bo Li, Wei Ye, Canming Huang, Shikun Zhang
Knowledge graphs (KGs) are widely used to facilitate relation extraction (RE) tasks.
Ranked #31 on
Relation Extraction
on DocRED
(using extra training data)
no code implementations • 21 Mar 2021 • Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang
Code summaries are brief natural language descriptions of source code pieces.
1 code implementation • 9 Dec 2020 • Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin
Automatic song writing aims to compose a song (lyric and/or melody) by machine, which is an interesting topic in both academia and industry.
no code implementations • COLING 2020 • Bo Li, Wei Ye, Zhonghao Sheng, Rui Xie, Xiangyu Xi, Shikun Zhang
Document-level relation extraction requires inter-sentence reasoning capabilities to capture local and global contextual information for multiple relational facts.
1 code implementation • 5 Apr 2020 • Wei Ye, Omid Askarisichani, Alex Jones, Ambuj Singh
The learned deep representation for a graph is a dense and low-dimensional vector that captures complex high-order interactions in a vertex neighborhood.
1 code implementation • 24 Mar 2020 • Wei Ye, Dominik Mautz, Christian Boehm, Ambuj Singh, Claudia Plant
In contrast to global clustering, local clustering aims to find only one cluster that is concentrating on the given seed vertex (and also on the designated attributes for attributed graphs).
no code implementations • 24 Feb 2020 • Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, Shikun Zhang
Since both tasks aim to model the association between natural language and programming language, recent studies have combined these two tasks to improve their performance.
1 code implementation • 23 Feb 2020 • Wei Ye, Zhen Wang, Rachel Redberg, Ambuj Singh
At the heart of Tree++ is a graph kernel called the path-pattern graph kernel.
no code implementations • ACL 2019 • Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang
In practical scenario, relation extraction needs to first identify entity pairs that have relation and then assign a correct relation class.
no code implementations • SEMEVAL 2019 • Luyao Ma, Long Zhang, Wei Ye, Wenhui Hu
This paper presents the system in SemEval-2019 Task 3, {``}EmoContext: Contextual Emotion Detection in Text{''}.
no code implementations • 19 Apr 2018 • Haixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang
Specically, we propose to measure the quality of each leaf node of every decision tree in the random forest to determine hard examples.