no code implementations • 29 Dec 2023 • Dongfang Li, Baotian Hu, Qingcai Chen, Shan He
Feature attribution methods highlight the important input tokens as explanations to model predictions, which have been widely applied to deep neural networks towards trustworthy AI.
no code implementations • 19 Jun 2023 • Rui He, Zeyu Dai, Shan He, Ke Tang
Active Learning (AL) presents an encouraging solution to this issue by annotating a smaller number of highly informative instances, thereby reducing the labeling effort.
no code implementations • 4 May 2023 • Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang
Multi-domain learning (MDL) refers to simultaneously constructing a model or a set of models on datasets collected from different domains.
no code implementations • ICCV 2023 • Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, LiRong Dai, Chang Xu
Besides, we also verify that the proposed framework is able to explicitly control the emotion of the animated talking face.
1 code implementation • 2 Feb 2022 • Gourab Ghosh Roy, Nicholas Geard, Karin Verspoor, Shan He
We show that trained MPVNN architecture interpretation, which points to smaller sets of genes connected by signal flow within the PI3K-Akt pathway that are important in risk prediction for particular cancer types, is reliable.
1 code implementation • 30 Dec 2021 • Yingying Wang, Cunliang Kong, Liner Yang, Yijun Wang, Xiaorong Lu, Renfen Hu, Shan He, Zhenghao Liu, Yun Chen, Erhong Yang, Maosong Sun
This resource is of great relevance for second language acquisition research, foreign-language teaching, and automatic grammatical error correction.
1 code implementation • 25 Jun 2021 • Rui He, Shengcai Liu, Shan He, Ke Tang
Active learning (AL) can be utilized in MDL to reduce the labeling effort by only using the most informative data.
1 code implementation • 2 Jun 2021 • Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, Yuezun Li, Siwei Lyu, Qi Li, Zhenan Sun, Han Chen, Baoying Chen, Yanjie Hu, Shenghai Luo, Junrui Huang, Yutong Yao, Boyuan Liu, Hefei Ling, Guosheng Zhang, Zhiliang Xu, Changtao Miao, Changlei Lu, Shan He, Xiaoyan Wu, Wanyi Zhuang
This competition provides a common platform for benchmarking the adversarial game between current state-of-the-art DeepFake creation and detection methods.
3 code implementations • 30 May 2021 • Chengbin Hou, Guoji Fu, Peng Yang, Zheng Hu, Shan He, Ke Tang
It is natural to ask if existing DNE methods can perform well for an input dynamic network without smooth changes.
2 code implementations • 5 Aug 2020 • Chengbin Hou, Han Zhang, Shan He, Ke Tang
The main and common objective of Dynamic Network Embedding (DNE) is to efficiently update node embeddings while preserving network topology at each time step.
no code implementations • 15 Apr 2020 • John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Shan He, Ralf Lämmel, Erik Meijer, Silvia Sapora, Justin Spahr-Summers
Software-intensive organizations rely on large numbers of software assets of different types, e. g., source-code files, tables in the data warehouse, and software configurations.
no code implementations • 31 Jan 2020 • Chuang Wang, Ruimin Hu, Min Hu, Jiang Liu, Ting Ren, Shan He, Ming Jiang, Jing Miao
And we validate our method on the Aff-Wild2 datasets released by the Challenge.
Facial Expression Recognition Facial Expression Recognition (FER)
2 code implementations • arXiv 2019 • Chengbin Hou, Han Zhang, Ke Tang, Shan He
Dynamic network embedding aims to learn low dimensional embeddings for unseen and seen nodes by using any currently available snapshots of a dynamic network.
1 code implementation • 7 Mar 2019 • David McDonald, Shan He
As a general embedding method, HEAT opens the door to hyperbolic manifold learning on a wide range of attributed and unattributed networks.
Social and Information Networks
1 code implementation • 28 Nov 2018 • Chengbin Hou, Shan He, Ke Tang
Attributed networks are ubiquitous since a network often comes with auxiliary attribute information e. g. a social network with user profiles.