3 code implementations • 3 Dec 2021 • Yuantao Feng, Shiqi Yu, Hanyang Peng, Yan-ran Li, JianGuo Zhang
However, with the tremendous increase in images and videos with variations in face scale, appearance, expression, occlusion and pose, traditional face detectors are challenged to detect various "in the wild" faces.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Zhi Cui, Yan-ran Li, Jiayi Zhang, Jianwei Cui, Chen Wei, Bin Wang
To model diverse responses for a given post, one promising way is to introduce a latent variable into Seq2Seq models.
no code implementations • 31 Aug 2020 • Zihao Mu, Francisco M. Castro, Manuel J. Marin-Jimenez, Nicolas Guil, Yan-ran Li, Shiqi Yu
In this paper, we propose iLGaCo, the first incremental learning approach of covariate factors for gait recognition, where the deep model can be updated with new information without re-training it from scratch by using the whole dataset.
1 code implementation • ECCV 2020 • Lingteng Qiu, Xuanye Zhang, Yan-ran Li, Guanbin Li, Xiao-Jun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui
Although occlusion widely exists in nature and remains a fundamental challenge for pose estimation, existing heatmap-based approaches suffer serious degradation on occlusions.
2 code implementations • ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2020 • Shuo Wang, Yan-ran Li, Jiang Zhang, Qingye Meng, Lingwei Meng, Fei Gao
When predicting PM2. 5 concentrations, it is necessary to consider complex information sources since the concentrations are influenced by various factors within a long period.
no code implementations • 9 Nov 2018 • Yan-ran Li, Wenjie Li, Ziqiang Cao, Chengyao Chen
To sustain engaging conversation, it is critical for chatbots to make good use of relevant knowledge.
no code implementations • 2 Nov 2018 • Yan-ran Li, Wenjie Li
We propose a chatbot, namely Mocha to make good use of relevant entities when generating responses.
5 code implementations • 29 Aug 2018 • Zhipeng Liang, Hao Chen, Junhao Zhu, Kangkang Jiang, Yan-ran Li
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
13 code implementations • IJCNLP 2017 • Yan-ran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, Shuzi Niu
We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects.
no code implementations • ACL 2017 • Jianbo Ye, Yan-ran Li, Zhaohui Wu, James Z. Wang, Wenjie Li, Jia Li
The new clustering method is easy to use and consistently outperforms other methods on a variety of data sets.
no code implementations • ACL 2017 • Xiaoyu Shen, Hui Su, Yan-ran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa, Guoping Long
Deep latent variable models have been shown to facilitate the response generation for open-domain dialog systems.
no code implementations • 26 Feb 2017 • Tong Che, Yan-ran Li, Ruixiang Zhang, R. Devon Hjelm, Wenjie Li, Yangqiu Song, Yoshua Bengio
Despite the successes in capturing continuous distributions, the application of generative adversarial networks (GANs) to discrete settings, like natural language tasks, is rather restricted.
no code implementations • 7 Dec 2016 • Tong Che, Yan-ran Li, Athul Paul Jacob, Yoshua Bengio, Wenjie Li
Although Generative Adversarial Networks achieve state-of-the-art results on a variety of generative tasks, they are regarded as highly unstable and prone to miss modes.
no code implementations • COLING 2016 • Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei, Yan-ran Li
Query relevance ranking and sentence saliency ranking are the two main tasks in extractive query-focused summarization.
no code implementations • EMNLP 2015 • Yan-ran Li, Wenjie Li, Fei Sun, Sujian Li
Distributed word representations are very useful for capturing semantic information and have been successfully applied in a variety of NLP tasks, especially on English.