no code implementations • WMT (EMNLP) 2020 • Haijiang Wu, Zixuan Wang, Qingsong Ma, Xinjie Wen, Ruichen Wang, Xiaoli Wang, Yulin Zhang, Zhipeng Yao, Siyao Peng
This paper presents Tencent’s submission to the WMT20 Quality Estimation (QE) Shared Task: Sentence-Level Post-editing Effort for English-Chinese in Task 2.
1 code implementation • 3 Dec 2021 • Yulin Zhang, William Macke, Jiaxun Cui, Daniel Urieli, Peter Stone
This article establishes for the first time that a multiagent driving policy can be trained in such a way that it generalizes to different traffic flows, AV penetration, and road geometries, including on multi-lane roads.
no code implementations • 19 Apr 2021 • Yulin Zhang, Bo Ma, Longyao Liu, Xin Yi
The one-shot Person Re-ID scenario faces two kinds of uncertainties when constructing the prediction model from $X$ to $Y$.
no code implementations • 6 Feb 2021 • Xin Yi, Bo Ma, Yulin Zhang, Longyao Liu, Jiahao Wu
To alleviate the intra-domain gap of the synthetic domain, we propose an intra-domain adaptation to align distributions of other subsets to the optimal subset by adversarial learning.
no code implementations • 3 Jan 2021 • Shen Jia, Yulin Zhang, Yiming Mao, Jiawei Gao, Yixuan Chen, YuXuan Jiang, Haochen Luo, Kebo Lv, Jionglong Su
The biological functions in cancer development of 50 selected genes is also explored through enrichment analysis and the results show that 12 out of 16 of our top features have already been identified to be specific with cancer and we also propose some more genes to be tested for future studies.
no code implementations • 30 Nov 2020 • Longyao Liu, Bo Ma, Yulin Zhang, Xin Yi, Haozhi Li
In this paper, we carefully analyze the characteristics of FSOD, and present that a general few-shot detector should consider the explicit decomposition of two subtasks, as well as leveraging information from both of them to enhance feature representations.
no code implementations • 6 Nov 2020 • Yulin Zhang, Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane
Reduction of combinatorial filters involves compressing state representations that robots use.