no code implementations • NAACL (BEA) 2022 • Bowei Zou, Pengfei Li, Liangming Pan, Ai Ti Aw
In field of teaching, true/false questioning is an important educational method for assessing students’ general understanding of learning materials.
no code implementations • WMT (EMNLP) 2021 • Meng Zhang, Minghao Wu, Pengfei Li, Liangyou Li, Qun Liu
This paper describes the NoahNMT system submitted to the WMT 2021 shared task of Very Low Resource Supervised Machine Translation.
no code implementations • NAACL (AutoSimTrans) 2022 • Xingshan Zeng, Pengfei Li, Liangyou Li, Qun Liu
This paper describes the system submitted to AutoSimTrans 2022 from Huawei Noah’s Ark Lab, which won the first place in the audio input track of the Chinese-English translation task.
1 code implementation • 19 Sep 2023 • Shaocong Xu, Pengfei Li, Xinyu Liu, Qianpu Sun, Yang Li, Shihui Guo, Zhen Wang, Bo Jiang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao
We demonstrate that learning different abstaining penalties, apart from point-wise penalty, for different types of (synthesized) outliers can further improve the performance.
1 code implementation • 10 Sep 2023 • Chengliang Zhong, Yuhang Zheng, Yupeng Zheng, Hao Zhao, Li Yi, Xiaodong Mu, Ling Wang, Pengfei Li, Guyue Zhou, Chao Yang, Xinliang Zhang, Jian Zhao
To address this issue, the Transporter method was introduced for 2D data, which reconstructs the target frame from the source frame to incorporate both spatial and temporal information.
1 code implementation • 11 Jul 2023 • Pengfei Li, Gang Liu, Jinlong He, Zixu Zhao, Shenjun Zhong
Medical visual question answering (VQA) is a challenging task that requires answering clinical questions of a given medical image, by taking consider of both visual and language information.
1 code implementation • 20 Jun 2023 • Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
The results demonstrate that existing GLB approaches may amplify environmental inequity while our proposed equity-aware GLB can significantly reduce the regional disparity in terms of carbon and water footprints.
no code implementations • 16 Jun 2023 • Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
This paper studies decentralized online convex optimization in a networked multi-agent system and proposes a novel algorithm, Learning-Augmented Decentralized Online optimization (LADO), for individual agents to select actions only based on local online information.
1 code implementation • 31 May 2023 • Pengfei Li, Jianyi Yang, Shaolei Ren
The key novelty of LOMAR is a new online switching operation which, based on a judicious condition to hedge against future uncertainties, decides whether to follow the expert's decision or the RL decision for each online item.
no code implementations • 1 May 2023 • Pengfei Li, Jianyi Yang, Shaolei Ren
In this paper, we propose a novel expert-robustified learning (ERL) approach, achieving {both} good average performance and robustness.
1 code implementation • 25 Apr 2023 • Huan-ang Gao, Beiwen Tian, Pengfei Li, Hao Zhao, Guyue Zhou
While this paradigm is natural for image-level or pixel-level prediction, adapting it to the detection problem is challenged by the issue of proposal matching.
1 code implementation • 6 Apr 2023 • Pengfei Li, Jianyi Yang, Mohammad A. Islam, Shaolei Ren
The growing carbon footprint of artificial intelligence (AI) models, especially large ones such as GPT-3 and GPT-4, has been undergoing public scrutiny.
no code implementations • 20 Mar 2023 • Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, Xinjing Huang, Yadao Wang, Weichao Wang, Pengfei Li, Xiaoda Zhang, Alexander Podolskiy, Grigory Arshinov, Andrey Bout, Irina Piontkovskaya, Jiansheng Wei, Xin Jiang, Teng Su, Qun Liu, Jun Yao
In this work, we develop a system that trained a trillion-parameter language model on a cluster of Ascend 910 AI processors and MindSpore framework, and present the language model with 1. 085T parameters named PanGu-{\Sigma}.
1 code implementation • 27 Feb 2023 • Pengfei Li, Ruowen Zhao, Yongliang Shi, Hao Zhao, Jirui Yuan, Guyue Zhou, Ya-Qin Zhang
In this paper, we propose a novel Eikonal formulation that conditions the implicit representation on localized shape priors which function as dense boundary value constraints, and demonstrate it works on SemanticKITTI and SemanticPOSS.
1 code implementation • 2 Feb 2023 • Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang, Dongbin Zhao
By fitting a bridge-shaped curve to the illumination map distribution, both regions are suppressed and two tasks are bridged naturally.
1 code implementation • 1 Feb 2023 • Bu Jin, Xinyu Liu, Yupeng Zheng, Pengfei Li, Hao Zhao, Tong Zhang, Yuhang Zheng, Guyue Zhou, Jingjing Liu
To bridge the gap, we propose an end-to-end transformer-based architecture, ADAPT (Action-aware Driving cAPtion Transformer), which provides user-friendly natural language narrations and reasoning for each decision making step of autonomous vehicular control and action.
1 code implementation • 31 Jan 2023 • Huan-ang Gao, Beiwen Tian, Pengfei Li, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Yurong Chen, Hongbin Zha
But adapting this scheme to the state-of-the-art (SOTA) solution for PC-based layout estimation is not straightforward.
2 code implementations • 24 Nov 2022 • Pengfei Li, Gang Liu, Lin Tan, Jinying Liao, Shenjun Zhong
Medical image visual question answering (VQA) is a task to answer clinical questions, given a radiographic image, which is a challenging problem that requires a model to integrate both vision and language information.
Ranked #1 on
Medical Visual Question Answering
on SLAKE-English
1 code implementation • 19 Oct 2022 • Pengfei Li, Beiwen Tian, Yongliang Shi, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang
As such, we study the challenging problem of task oriented detection, which aims to find objects that best afford an action indicated by verbs like sit comfortably on.
no code implementations • 28 Sep 2022 • Yongliang Shi, Runyi Yang, Pengfei Li, Zirui Wu, Hao Zhao, Guyue Zhou
Neural implicit representations are drawing a lot of attention from the robotics community recently, as they are expressive, continuous and compact.
1 code implementation • 18 Sep 2022 • Zhenxin Zhu, Yuantao Chen, Zirui Wu, Chao Hou, Yongliang Shi, Chuxuan Li, Pengfei Li, Hao Zhao, Guyue Zhou
In this paper, we present LATITUDE: Global Localization with Truncated Dynamic Low-pass Filter, which introduces a two-stage localization mechanism in city-scale NeRF.
2 code implementations • 15 Sep 2022 • Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan
Compared to previous safe RL methods, CUP enjoys the benefits of 1) CUP generalizes the surrogate functions to generalized advantage estimator (GAE), leading to strong empirical performance.
1 code implementation • 14 Jul 2022 • Liang Qiao, Hui Jiang, Ying Chen, Can Li, Pengfei Li, Zaisheng Li, Baorui Zou, Dashan Guo, Yingda Xu, Yunlu Xu, Zhanzhan Cheng, Yi Niu
Compared with the previous opensource OCR toolbox, DavarOCR has relatively more complete support for the sub-tasks of the cutting-edge technology of document understanding.
no code implementations • 14 Jul 2022 • Zhanzhan Cheng, Peng Zhang, Can Li, Qiao Liang, Yunlu Xu, Pengfei Li, ShiLiang Pu, Yi Niu, Fei Wu
Most existing methods divide this task into two subparts: the text reading part for obtaining the plain text from the original document images and the information extraction part for extracting key contents.
no code implementations • 4 Jul 2022 • Chang Liu, Yugong Luo, Pengfei Li, Chunhui Xing, Weiwei Kong
To deal with this problem, this paper introduces a two-dimensional maneuver management framework with a fault-tolerant mechanism on the basis of the proposed hierarchical architecture for the platoon control system.
no code implementations • 18 Apr 2022 • Pengfei Li, Jianyi Yang, Shaolei Ren
Nonetheless, by using the standard practice of training an ML model as a standalone optimizer and plugging it into an ML-augmented algorithm, the average cost performance can be highly unsatisfactory.
1 code implementation • ACL 2022 • Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu
To the best of our knowledge, this is the first work to pre-train a unified model for fine-tuning on both NMT tasks.
1 code implementation • 15 Feb 2022 • Long Yang, Jiaming Ji, Juntao Dai, Yu Zhang, Pengfei Li, Gang Pan
Although using bounds as surrogate functions to design safe RL algorithms have appeared in some existing works, we develop them at least three aspects: (i) We provide a rigorous theoretical analysis to extend the surrogate functions to generalized advantage estimator (GAE).
1 code implementation • 29 Nov 2021 • Pengfei Li, Yongliang Shi, Tianyu Liu, Hao Zhao, Guyue Zhou, Ya-Qin Zhang
Recent advances show that semi-supervised implicit representation learning can be achieved through physical constraints like Eikonal equations.
no code implementations • 1 Oct 2021 • Yan Xia, Linhui Jiang, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, Shaocai Yu
Our results show that the ORRS measurements, assisted by the machine-learning-based ensemble model developed here, can realize day-to-day supervision of on-road vehicle-specific emissions.
no code implementations • 8 Apr 2021 • Qiyao Wang, Pengfei Li, Li Zhu, Yi Niu
For the text spotting task, we detect the characters on integrated circuit and classify them based on yolov5 detection model.
no code implementations • 27 Jan 2021 • Pengfei Li, Federico Lelli, Stacy McGaugh, James Schombert, Kyu-Hyun Chae
The application of Bayesian techniques to astronomical data is generally non-trivial because the fitting parameters can be strongly degenerated and the formal uncertainties are themselves uncertain.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
1 code implementation • 29 Dec 2020 • Shuang Xu, Lizhen Ji, Zhe Wang, Pengfei Li, Kai Sun, Chunxia Zhang, Jiangshe Zhang
According to the idea that each local region in the fused image should be similar to the sharpest one among source images, this paper presents an optimization-based approach to reduce defocus spread effects.
no code implementations • 15 Dec 2020 • Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao
Experimental results on two large-scale datasets support our hypothesis and show that our model can produce more accurate and commonsense-aware emotional responses and achieve better human ratings than state-of-the-art models that only specialize in one aspect.
no code implementations • 14 Dec 2020 • Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan
We study the convergence of $\mathtt{Expected~Sarsa}(\lambda)$ with linear function approximation.
1 code implementation • ECCV 2020 • He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory Chirikjian
In this paper, we depart from the multi-person 3D pose estimation formulation, and instead reformulate it as crowd pose estimation.
Ranked #12 on
3D Multi-Person Pose Estimation
on Panoptic
(using extra training data)
3D Multi-Person Human Pose Estimation
3D Multi-Person Pose Estimation
+2
2 code implementations • 20 Mar 2020 • Zixiang Zhao, Shuang Xu, Chun-Xia Zhang, Junmin Liu, Pengfei Li, Jiangshe Zhang
Infrared and visible image fusion, a hot topic in the field of image processing, aims at obtaining fused images keeping the advantages of source images.
no code implementations • 9 Dec 2019 • Pengfei Li, Weichao Qiu, Michael Peven, Gregory D. Hager, Alan L. Yuille
Scene context is a powerful constraint on the geometry of objects within the scene in cases, such as surveillance, where the camera geometry is unknown and image quality may be poor.
no code implementations • IJCNLP 2019 • Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li
While attention mechanisms have been proven to be effective in many NLP tasks, majority of them are data-driven.
no code implementations • 6 Sep 2019 • Long Yang, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan
To address above problem, we propose a GQ$(\sigma,\lambda)$ that extends tabular Q$(\sigma,\lambda)$ with linear function approximation.
no code implementations • 25 Jun 2019 • Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Jun Wen, Gang Pan
Improving sample efficiency has been a longstanding goal in reinforcement learning.
no code implementations • 25 Jun 2019 • Long Yang, Yu Zhang, Jun Wen, Qian Zheng, Pengfei Li, Gang Pan
In this paper, for reducing the variance, we introduce control variate technique to $\mathtt{Expected}$ $\mathtt{Sarsa}$($\lambda$) and propose a tabular $\mathtt{ES}$($\lambda$)-$\mathtt{CV}$ algorithm.
no code implementations • 8 May 2019 • Pengfei Li, Yu Hua, Pengfei Zuo, Jingnan Jia
Index structures are important for efficient data access, which have been widely used to improve the performance in many in-memory systems.
no code implementations • 14 Jun 2018 • Wenjia Meng, Qian Zheng, Long Yang, Pengfei Li, Gang Pan
In this paper, we propose a general framework to combine DQN and most of the return-based reinforcement learning algorithms, named R-DQN.