1 code implementation • 12 Jan 2024 • Changrong Xiao, Wenxing Ma, Sean Xin Xu, Kunpeng Zhang, Yufang Wang, Qi Fu
Receiving immediate and personalized feedback is crucial for second-language learners, and Automated Essay Scoring (AES) systems are a vital resource when human instructors are unavailable.
1 code implementation • 3 May 2023 • Changrong Xiao, Sean Xin Xu, Kunpeng Zhang
Image captioning, an important vision-language task, often requires a tremendous number of finely labeled image-caption pairs for learning the underlying alignment between images and texts.
no code implementations • 27 Jan 2023 • Kunpeng Zhang, Lan Wu, Liang Zheng, Na Xie, Zhengbing He
Specifically, the proposed model introduces semantic descriptions consisting of network-wide spatial and temporal information of traffic data to help the GT-TDI model capture spatiotemporal correlations at a network level.
1 code implementation • 21 Dec 2022 • Chengtai Cao, Fan Zhou, Yurou Dai, JianPing Wang, Kunpeng Zhang
We begin by introducing a novel taxonomy that categorizes MixDA into Mixup-based, Cutmix-based, and mixture approaches based on a hierarchical perspective of the data mixing operation.
no code implementations • 28 Oct 2022 • Qiang Gao, Xinzhu Zhou, Kunpeng Zhang, Li Huang, Siyuan Liu, Fan Zhou
Stock selection attempts to rank a list of stocks for optimizing investment decision making, aiming at minimizing investment risks while maximizing profit returns.
no code implementations • 2 Sep 2021 • Qiang Gao, Wei Wang, Kunpeng Zhang, Xin Yang, Congcong Miao
Although recent deep recursive models (e. g., RNN) are capable of alleviating these concerns, existing solutions hardly recognize the practical reality, such as the diversity of tourist demands, uncertainties in the trip generation, and the complex visiting preference.
2 code implementations • 26 Aug 2021 • Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan, Zhe Wang
In this paper, we present a denoising sequence-to-sequence (seq2seq) autoencoder via contrastive learning for abstractive text summarization.
1 code implementation • 27 Jul 2021 • Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu
Second, it learns a generic model for graph cascade tasks via self-supervised contrastive pre-training using both unlabeled and labeled data.
Ranked #1 on Information Cascade Popularity Prediction on Weibo
no code implementations • 25 May 2021 • Shiwei Lyu, Shuai Ling, Kaihao Guo, Haipeng Zhang, Kunpeng Zhang, Suting Hong, Qing Ke, Jinjie Gu
Predicting the start-ups that will eventually succeed is essentially important for the venture capital business and worldwide policy makers, especially at an early stage such that rewards can possibly be exponential.
1 code implementation • 26 Dec 2020 • Dongcheng Zhang, Kunpeng Zhang
Existing weighting methods for treatment effect estimation are often built upon the idea of propensity scores or covariate balance.
no code implementations • 16 Nov 2020 • Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan
Podcast summarization is different from summarization of other data formats, such as news, patents, and scientific papers in that podcasts are often longer, conversational, colloquial, and full of sponsorship and advertising information, which imposes great challenges for existing models.
1 code implementation • 20 Oct 2020 • Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan, Zhe Wang
We introduce a new approach for abstractive text summarization, Topic-Guided Abstractive Summarization, which calibrates long-range dependencies from topic-level features with globally salient content.
1 code implementation • 24 Aug 2020 • Chujie Zheng, Harry Jiannan Wang, Kunpeng Zhang, Ling Fan
Podcast summary, an important factor affecting end-users' listening decisions, has often been considered a critical feature in podcast recommendation systems, as well as many downstream applications.
no code implementations • ACL 2020 • Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Yi Yang
Identifying user geolocation in online social networks is an essential task in many location-based applications.
3 code implementations • 22 May 2020 • Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang
The deluge of digital information in our daily life -- from user-generated content, such as microblogs and scientific papers, to online business, such as viral marketing and advertising -- offers unprecedented opportunities to explore and exploit the trajectories and structures of the evolution of information cascades.
1 code implementation • 26 Mar 2020 • Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong, Kunpeng Zhang
Quantifying and predicting the long-term impact of scientific writings or individual scholars has important implications for many policy decisions, such as funding proposal evaluation and identifying emerging research fields.
1 code implementation • 23 May 2019 • Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng
Meta-learning has received a tremendous recent attention as a possible approach for mimicking human intelligence, i. e., acquiring new knowledge and skills with little or even no demonstration.
1 code implementation • International Joint Conference on Artificial Intelligence 2018 • Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang
Trajectory-User Linking (TUL) is an essential task in Geo-tagged social media (GTSM) applications, enabling personalized Point of Interest (POI) recommendation and activity identification.