1 code implementation • EMNLP 2021 • Rui Li, Wenlin Zhao, Cheng Yang, Sen Su
Event detection (ED) aims at identifying event instances of specified types in given texts, which has been formalized as a sequence labeling task.
1 code implementation • 6 Jun 2022 • Wei Wang, Liangzhu Ge, Jingqiao Zhang, Cheng Yang
Following SimCSE, contrastive learning based methods have achieved the state-of-the-art (SOTA) performance in learning sentence embeddings.
no code implementations • 24 May 2022 • Lang Qian, Shengjie Zheng, Chunshan Deng, Cheng Yang, Xiaojian Li
But for BCIs used in neuroscience research, it is important to separate out the activity of individual neurons.
no code implementations • 19 May 2022 • Jiayi Zheng, Ling Yang, Heyuan Wang, Cheng Yang, Yinghong Li, Xiaowei Hu, Shenda Hong
To adequately leverage neighbor proximity and high-order information, we design a novel spatial autoregressive paradigm.
1 code implementation • 18 Feb 2022 • Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
Heterogeneous Graph Neural Network (HGNN) has been successfully employed in various tasks, but we cannot accurately know the importance of different design dimensions of HGNNs due to diverse architectures and applied scenarios.
1 code implementation • 2 Dec 2021 • Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan Yuille
To help address this problem, we propose PartImageNet, a large, high-quality dataset with part segmentation annotations.
no code implementations • 6 Oct 2021 • Cheng Xu, Weimin WANG, Shuai Liu, Yong Wang, Yuxiang Tang, Tianling Bian, Yanyu Yan, Qi She, Cheng Yang
In this paper, we show our solution to the Google Landmark Recognition 2021 Competition.
2 code implementations • NeurIPS 2021 • Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang
Specifically, we first verify that the confidence distribution in a graph has homophily property, and this finding inspires us to design a calibration GNN model (CaGCN) to learn the calibration function.
no code implementations • 10 Sep 2021 • Cheng Yang, Gene Cheung, Wai-tian Tan, Guangtao Zhai
Algorithm unfolding creates an interpretable and parsimonious neural network architecture by implementing each iteration of a model-based algorithm as a neural layer.
1 code implementation • ICCV 2021 • Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu
To further improve the performance of these tasks, we propose a novel Hand Image Understanding (HIU) framework to extract comprehensive information of the hand object from a single RGB image, by jointly considering the relationships between these tasks.
no code implementations • 23 Jul 2021 • Binling Wang, Wenxuan Hu, Jing Li, Yiming Zhi, Zheng Li, Qingyang Hong, Lin Li, Dong Wang, Liming Song, Cheng Yang
In addition to the Language Identification (LID) tasks, multilingual Automatic Speech Recognition (ASR) tasks are introduced to OLR 2021 Challenge for the first time.
no code implementations • 22 Jul 2021 • Cheng Yang
To solve the aforementioned problem, a simple and effective method to generate images in several new scenarios was proposed, which is names the Copy and Paste method based on Pose(CPP).
1 code implementation • 15 Jun 2021 • Ganqu Cui, Yufeng Du, Cheng Yang, Jie zhou, Liang Xu, Xing Zhou, Xingyi Cheng, Zhiyuan Liu
The recent emergence of contrastive learning approaches facilitates the application on graph representation learning (GRL), introducing graph contrastive learning (GCL) into the literature.
1 code implementation • 14 Jun 2021 • Yifei Xu, Jingqiao Zhang, Ru He, Liangzhu Ge, Chao Yang, Cheng Yang, Ying Nian Wu
In this paper, we propose a self-augmentation strategy (SAS) where a single network is utilized for both regular pre-training and contextualized data augmentation for the training in later epochs.
no code implementations • NeurIPS 2021 • Cheng Yang, Gene Cheung, Wai-tian Tan, Guangtao Zhai
Specifically, we first recast the SDP relaxation to its SDP dual, where a feasible solution $H \succeq 0$ can be interpreted as a Laplacian matrix corresponding to a balanced signed graph sans the last node.
1 code implementation • 1 Jun 2021 • Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan Yuille
In particular, we decouple the training of the representation and the classifier, and systematically investigate the effects of different data re-sampling techniques when training the whole network including a classifier as well as fine-tuning the feature extractor only.
no code implementations • 18 May 2021 • Junhao Hua, Ling Yan, Huan Xu, Cheng Yang
In this paper, by leveraging abundant observational transaction data, we propose a novel data-driven and interpretable pricing approach for markdowns, consisting of counterfactual prediction and multi-period price optimization.
1 code implementation • 16 Apr 2021 • Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan
Single-image room layout reconstruction aims to reconstruct the enclosed 3D structure of a room from a single image.
2 code implementations • 14 Mar 2021 • Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang
Fine-grained visual classification (FGVC) which aims at recognizing objects from subcategories is a very challenging task due to the inherently subtle inter-class differences.
Ranked #3 on
Fine-Grained Image Classification
on Stanford Dogs
1 code implementation • 4 Mar 2021 • Cheng Yang, Jiawei Liu, Chuan Shi
Our framework extracts the knowledge of an arbitrary learned GNN model (teacher model), and injects it into a well-designed student model.
Ranked #1 on
Node Classification
on Cora (0.5%)
no code implementations • 19 Feb 2021 • Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang
In this paper, a retrieval-based coarse-to-fine framework is proposed, where we re-rank the TopN classification results by using the local region enhanced embedding features to improve the Top1 accuracy (based on the observation that the correct category usually resides in TopN results).
Ranked #10 on
Fine-Grained Image Classification
on CUB-200-2011
Fine-Grained Image Classification
Fine-Grained Image Recognition
+1
no code implementations • 7 Jan 2021 • Ningxin Xu, Cheng Yang, Yixin Zhu, Xiaowei Hu, Changhu Wang
Most typical click models assume that the probability of a document to be examined by users only depends on position, such as PBM and UBM.
no code implementations • 1 Jan 2021 • Ziqian Wu, Xingzhe He, Michael Zhang, Yijun Li, Cheng Yang, Rui Liu, Shiying Xiong, Bo Zhu
Identifying the underlying structures of a PDE system based upon a small set of data samples on the solution space is challenging for machine learning.
no code implementations • 27 Nov 2020 • Cheng Yang, Shengnan Wang, Chao Yang, Yuechuan Li, Ru He, Jingqiao Zhang
In BERT training, the backward computation is much more time-consuming than the forward computation, especially in the distributed training setting in which the backward computation time further includes the communication time for gradient synchronization.
no code implementations • 27 Nov 2020 • Cheng Yang, Shengnan Wang, Yuechuan Li, Chao Yang, Ming Yan, Jingqiao Zhang, Fangquan Lin
In the second phase, we transform the trained relaxed BERT model into the original BERT and further retrain the model.
no code implementations • ICLR 2021 • Shiying Xiong, Yunjin Tong, Xingzhe He, Shuqi Yang, Cheng Yang, Bo Zhu
The enabling mechanics of our approach is an augmented symplectic time integrator to decouple the position and momentum energy terms and facilitate their evolution.
no code implementations • 20 Oct 2020 • Yunlu Wang, Cheng Yang, Menghan Hu, Jian Zhang, Qingli Li, Guangtao Zhai, Xiao-Ping Zhang
This paper presents an unobtrusive solution that can automatically identify deep breath when a person is walking past the global depth camera.
4 code implementations • 27 Jul 2020 • Nan Zhuang, Cheng Yang
In this paper, we are interested in generating fine-grained cartoon faces for various groups.
1 code implementation • 3 Jul 2020 • Ganqu Cui, Jie zhou, Cheng Yang, Zhiyuan Liu
Experimental results show that AGE consistently outperforms state-of-the-art graph embedding methods considerably on these tasks.
Ranked #6 on
Node Clustering
on Cora
1 code implementation • ACL 2020 • Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou
Furthermore, the learned representations are disentangled with latent preference factors by a neighborhood routing algorithm, which can enhance expressiveness and interpretability.
1 code implementation • 15 Jun 2020 • Cheng Yang, Gene Cheung, Wei Hu
Given a convex and differentiable objective $Q(\M)$ for a real symmetric matrix $\M$ in the positive definite (PD) cone -- used to compute Mahalanobis distances -- we propose a fast general metric learning framework that is entirely projection-free.
no code implementations • 4 Jun 2020 • Zheng Li, Miao Zhao, Qingyang Hong, Lin Li, Zhiyuan Tang, Dong Wang, Li-Ming Song, Cheng Yang
Based on Kaldi and Pytorch, recipes for i-vector and x-vector systems are also conducted as baselines for the three tasks.
2 code implementations • 2020 • Cheng Yang, Maosong Sun, Zhiyuan Liu, Cunchao Tu
Many Network Representation Learning (NRL) methods have been proposed to learn vector representations for vertices in a network recently.
1 code implementation • Findings (ACL) 2021 • Jie Zhou, Shengding Hu, Xin Lv, Cheng Yang, Zhiyuan Liu, Wei Xu, Jie Jiang, Juanzi Li, Maosong Sun
Based on the datasets, we propose novel tasks such as multi-hop knowledge abstraction (MKA), multi-hop knowledge concretization (MKC) and then design a comprehensive benchmark.
no code implementations • CVPR 2021 • Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren
Neural Architecture Search (NAS) has shown great potentials in automatically designing scalable network architectures for dense image predictions.
Ranked #7 on
Semantic Segmentation
on Cityscapes test
no code implementations • 13 Mar 2020 • Xiaoyuan Yi, Ruoyu Li, Cheng Yang, Wenhao Li, Maosong Sun
Though recent neural models make prominent progress in some criteria of poetry quality, generated poems still suffer from the problem of poor diversity.
no code implementations • 28 Jan 2020 • Cheng Yang, Gene Cheung, Wei Hu
We propose a fast general projection-free metric learning framework, where the minimization objective $\min_{\textbf{M} \in \mathcal{S}} Q(\textbf{M})$ is a convex differentiable function of the metric matrix $\textbf{M}$, and $\textbf{M}$ resides in the set $\mathcal{S}$ of generalized graph Laplacian matrices for connected graphs with positive edge weights and node degrees.
no code implementations • IJCNLP 2019 • Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang
Distantly-supervised relation extraction has proven to be effective to find relational facts from texts.
no code implementations • 30 Oct 2019 • Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao
Existing methods on news recommendation mainly include collaborative filtering methods which rely on direct user-item interactions and content based methods which characterize the content of user reading history.
1 code implementation • 20 Oct 2019 • Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun
Sememes, the minimum semantic units of human languages, have been successfully utilized in various natural language processing applications.
2 code implementations • ACL 2019 • Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, LiFeng Wang, Changcheng Li, Maosong Sun
Fact verification (FV) is a challenging task which requires to retrieve relevant evidence from plain text and use the evidence to verify given claims.
Ranked #3 on
Fact Verification
on FEVER
no code implementations • ACL 2019 • Guo Zhipeng, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Jiannan Liang, Huimin Chen, Yuhui Zhang, Ruoyu Li
By exposing the options of poetry genres, styles and revision modes, Jiuge, acting as a professional assistant, allows constant and active participation of users in poetic creation.
no code implementations • 4 Feb 2019 • Kui Zhao, Junhao Hua, Ling Yan, Qi Zhang, Huan Xu, Cheng Yang
In our approach, a semi-black-box model is built to forecast the dynamic market response and an efficient optimization method is proposed to solve the complex allocation task.
no code implementations • 21 Dec 2018 • Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin
There is recently a surge in approaches that learn low-dimensional embeddings of nodes in networks.
1 code implementation • 21 Dec 2018 • Cheng Yang, Maosong Sun, Haoran Liu, Shiyi Han, Zhiyuan Liu, Huanbo Luan
The strong assumptions oversimplify the complex diffusion mechanism and prevent these models from better fitting real-world cascade data.
Social and Information Networks Physics and Society
5 code implementations • 20 Dec 2018 • Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, LiFeng Wang, Changcheng Li, Maosong Sun
Lots of learning tasks require dealing with graph data which contains rich relation information among elements.
no code implementations • 10 Nov 2018 • Changhe Song, Cunchao Tu, Cheng Yang, Zhiyuan Liu, Maosong Sun
By regarding all reposts to a rumor candidate as a sequence, the proposed model will seek an early point-in-time for making a credible prediction.
Social and Information Networks
no code implementations • EMNLP 2018 • Cheng Yang, Maosong Sun, Xiaoyuan Yi, Wenhao Li
The ability to write diverse poems in different styles under the same poetic imagery is an important characteristic of human poetry writing.
no code implementations • 20 Mar 2018 • Jin Zeng, Gene Cheung, Michael Ng, Jiahao Pang, Cheng Yang
Due to discrete observations of the patches on the manifold, we approximate the manifold dimension computation defined in the continuous domain with a patch-based graph Laplacian regularizer and propose a new discrete patch distance measure to quantify the similarity between two same-sized surface patches for graph construction that is robust to noise.
no code implementations • 24 Jan 2018 • Kui Zhao, Yuechuan Li, Chi Zhang, Cheng Yang, Huan Xu
By leveraging the mixture layer, the proposed method can adaptively update states according to the similarities between encoded inputs and prototype vectors, leading to a stronger capacity in assimilating sequences with multiple patterns.
no code implementations • 22 Dec 2017 • Kui Zhao, Yuechuan Li, Zhaoqian Shuai, Cheng Yang
Many machine intelligence techniques are developed in E-commerce and one of the most essential components is the representation of IDs, including user ID, item ID, product ID, store ID, brand ID, category ID etc.
3 code implementations • IJCAI 2015 • Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, Edward Chang
Representation learning has shown its effectiveness in many tasks such as image classification and text mining.
no code implementations • 2 Jan 2015 • Cheng Yang, Zhiyuan Liu
Word2vec, as an efficient tool for learning vector representation of words has shown its effectiveness in many natural language processing tasks.
no code implementations • 1 Mar 2014 • Wei Chen, Tian Lin, Cheng Yang
In this paper, we focus on the topic-aware influence maximization task.