no code implementations • EMNLP (sustainlp) 2021 • Yue Zhang, ChengCheng Hu, Yuqi Liu, Hui Fang, Jimmy Lin
It is well known that rerankers built on pretrained transformer models such as BERT have dramatically improved retrieval effectiveness in many tasks.
1 code implementation • 7 Mar 2024 • Yuqi Liu, Guanyi Chen, Kees Van Deemter
In this paper, we focus on the omission of the plurality and definiteness markers in Chinese noun phrases (NPs) to investigate the predictability of their intended meaning given the contexts.
1 code implementation • 20 Nov 2023 • Ling Luo, Jinzhong Ning, Yingwen Zhao, Zhijun Wang, Zeyuan Ding, Peng Chen, Weiru Fu, Qinyu Han, Guangtao Xu, Yunzhi Qiu, Dinghao Pan, Jiru Li, Hao Li, Wenduo Feng, Senbo Tu, Yuqi Liu, Zhihao Yang, Jian Wang, Yuanyuan Sun, Hongfei Lin
The case study involving additional biomedical NLP tasks further shows Taiyi's considerable potential for bilingual biomedical multi-tasking.
1 code implementation • CVPR 2023 • Zehua Sheng, Zhu Yu, Xiongwei Liu, Si-Yuan Cao, Yuqi Liu, Hui-Liang Shen, Huaqi Zhang
Instead of aligning the input images via conventional stereo matching, we aggregate structures from the guidance image to estimate a clean structure map for the noisy target image, which is then used to regress the final denoising result with a spatially variant linear representation model.
1 code implementation • 16 Jul 2022 • Yuqi Liu, Pengfei Xiong, Luhui Xu, Shengming Cao, Qin Jin
In this paper, we propose Token Shift and Selection Network (TS2-Net), a novel token shift and selection transformer architecture, which dynamically adjusts the token sequence and selects informative tokens in both temporal and spatial dimensions from input video samples.
Ranked #8 on Video Retrieval on VATEX
1 code implementation • 27 Feb 2022 • Yongdong Huang, Yuanzhan Li, Xulong Cao, Siyu Zhang, Shen Cai, Ting Lu, Jie Wang, Yuqi Liu
However, many previous works employ neural networks with fixed architecture and size to represent different 3D objects, which lead to excessive network parameters for simple objects and limited reconstruction accuracy for complex objects.
no code implementations • 19 Feb 2022 • Yuqi Liu, Qichao Zhang, Dongbin Zhao
In this paper, we formulate a multi-task safe reinforcement learning with social attention to improve the safety and efficiency when interacting with other traffic participants.
1 code implementation • 19 Jan 2022 • Yuanzhan Li, Yuqi Liu, Yujie Lu, Siyu Zhang, Shen Cai, Yanting Zhang
Compared to previous works, our method achieves the high-fidelity and high-compression 3D object coding and reconstruction.
no code implementations • 6 Jan 2022 • Siawpeng Er, Edward Liu, Minshuo Chen, Yan Li, Yuqi Liu, Tuo Zhao, Hua Wang
This paper presents a deep learning assisted synthesis approach for direct end-to-end generation of RF/mm-wave passive matching network with 3D EM structures.
no code implementations • ICLR 2022 • Yuqi Liu, Bin Cao, Jing Fan
To solve the imbalance classification, methods of weighting examples haven been proposed.
1 code implementation • 22 Sep 2021 • Yuqi Liu, Qichao Zhang, Dongbin Zhao
The test benchmark and baselines are to provide a fair and comprehensive training and testing platform for the study of RL for autonomous driving in the intersection scenario, advancing the progress of RL-based methods for intersection autonomous driving control.
1 code implementation • 31 May 2021 • Siyu Zhang, Hui Cao, Yuqi Liu, Shen Cai, Yanting Zhang, Yuanzhan Li, Xiaoyu Chi
Using deep learning techniques to process 3D objects has achieved many successes.
no code implementations • 11 Jan 2021 • Yuqi Liu, Yin Wang, Haikuan Du, Shen Cai
To this end, the proposed method first uses local structured sampling methods such as HEALPix to construct a transformer grid by using the information of spherical points and its adjacent points, and then transforms the spherical signals to the vectors through the grid.