no code implementations • LREC 2022 • Yue Cui, Junhui Zhu, Liner Yang, Xuezhi Fang, Xiaobin Chen, Yujie Wang, Erhong Yang
The construct of linguistic complexity has been widely used in language learning research.
1 code implementation • 18 Mar 2025 • Yaxiong Chen, Yujie Wang, Zixuan Zheng, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou
Medical ultrasound imaging is ubiquitous, but manual analysis struggles to keep pace.
no code implementations • 7 Jan 2025 • Yujie Wang, Xiangru Xu
The proposed method employs a modular design procedure, decomposing the original system into a proxy subsystem and a virtual tracking subsystem that are controlled by the control barrier function (CBF)-based and Lyapunov-based controllers, respectively.
no code implementations • 17 Dec 2024 • Yujie Wang, Kui Yu, Yuhong Zhang, Fuyuan Cao, Jiye Liang
Secondly, to ensure the diversity of augmented samples, we propose an environment diversity augmentation strategy in GRBE that mixes the environment subgraphs of different graphs in the original graph space and then combines the new environment subgraphs with rationale subgraphs to generate augmented graphs.
1 code implementation • 2 Dec 2024 • Yujie Wang, Shiju Wang, Shenhan Zhu, Fangcheng Fu, Xinyi Liu, Xuefeng Xiao, Huixia Li, Jiashi Li, Faming Wu, Bin Cui
Furthermore, we implement our method in a high-performance system that supports adaptive parallelization in distributed LLM training.
no code implementations • 2 Oct 2024 • WeiYe Zhao, Feihan Li, Yifan Sun, Yujie Wang, Rui Chen, Tianhao Wei, Changliu Liu
Our insight is that although it is intractable to guarantee hard state-wise constraints in a model-free setting, we can enforce state-wise safety with high probability while excluding strong assumptions.
no code implementations • 5 Sep 2024 • Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui
Recent foundation models are capable of handling multiple tasks and multiple data modalities with the unified base model structure and several specialized model components.
no code implementations • 21 Aug 2024 • Chi Ma, Mincong Huang, Ying Zhang, Chao Wang, Yujie Wang, Lei Yu, Chuan Liu, Wei Lin
Dynamic activation (DA) techniques, such as DejaVu and MoEfication, have demonstrated their potential to significantly enhance the inference efficiency of large language models (LLMs).
no code implementations • 18 Aug 2024 • Yaosheng Deng, Yang Bai, Yujie Wang, Masaki Ogura, Mir Feroskhan
We design an adaptive CBF-based controller to manage the mismatched uncertainties introduced by this transformation.
no code implementations • 17 Aug 2024 • Yujie Wang, Baoquan Chen, PRANEETH CHAKRAVARTHULA
Recent holographic display approaches propelled by deep learning have shown remarkable success in enabling high-fidelity holographic projections.
no code implementations • 18 Jun 2024 • Chi Ma, Mincong Huang, Chao Wang, Yujie Wang, Lei Yu
Massive Over-activation Yielded Uplifts(MOYU) is an inherent property of large language models, and dynamic activation(DA) based on the MOYU property is a clever yet under-explored strategy designed to accelerate inference in these models.
1 code implementation • 14 Jun 2024 • Ying Zhang, Peng Zhang, Mincong Huang, Jingyang Xiang, Yujie Wang, Chao Wang, Yineng Zhang, Lei Yu, Chuan Liu, Wei Lin
Quantization is a proven effective method for compressing large language models.
no code implementations • 27 May 2024 • Yujie Wang, PRANEETH CHAKRAVARTHULA, Baoquan Chen
3D Gaussian Splatting (3DGS) techniques have recently enabled high-quality 3D scene reconstruction and real-time novel view synthesis.
1 code implementation • 20 May 2024 • Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu
DSI is also theoretically presented as a new graph clustering objective, not requiring the predefined cluster number.
no code implementations • 15 May 2024 • Chi Ma, Mincong Huang, Chao Wang, Yujie Wang, Lei Yu
In this work, we systematically investigate the efficacy of dynamic activation mechanisms within the LLaMA family of language models.
no code implementations • 26 Feb 2024 • Jingsi Yu, Cunliang Kong, Liner Yang, Meishan Zhang, Lin Zhu, Yujie Wang, Haozhe Lin, Maosong Sun, Erhong Yang
Sentence Pattern Structure (SPS) parsing is a syntactic analysis method primarily employed in language teaching. Existing SPS parsers rely heavily on textbook corpora for training, lacking cross-domain capability. To overcome this constraint, this paper proposes an innovative approach leveraging large language models (LLMs) within a self-training framework.
no code implementations • 21 Feb 2024 • Luming Lu, Jiyuan An, Yujie Wang, Liner Yang, Cunliang Kong, Zhenghao Liu, Shuo Wang, Haozhe Lin, Mingwei Fang, Yaping Huang, Erhong Yang
This paper presents the first text-to-CQL task that aims to automate the translation of natural language into CQL.
no code implementations • 30 Jan 2024 • Tiannan Wang, Jiamin Chen, Qingrui Jia, Shuai Wang, Ruoyu Fang, Huilin Wang, Zhaowei Gao, Chunzhao Xie, Chuou Xu, Jihong Dai, Yibin Liu, Jialong Wu, Shengwei Ding, Long Li, Zhiwei Huang, Xinle Deng, Teng Yu, Gangan Ma, Han Xiao, Zixin Chen, Danjun Xiang, Yunxia Wang, Yuanyuan Zhu, Yi Xiao, Jing Wang, Yiru Wang, Siran Ding, Jiayang Huang, Jiayi Xu, Yilihamu Tayier, Zhenyu Hu, Yuan Gao, Chengfeng Zheng, Yueshu Ye, Yihang Li, Lei Wan, Xinyue Jiang, Yujie Wang, Siyu Cheng, Zhule Song, Xiangru Tang, Xiaohua Xu, Ningyu Zhang, Huajun Chen, Yuchen Eleanor Jiang, Wangchunshu Zhou
Weaver is pre-trained on a carefully selected corpus that focuses on improving the writing capabilities of large language models.
no code implementations • 11 Oct 2023 • Zhengmeng Xu, Yujie Wang, Xiaotong Feng, Yilin Wang, Yanli Li, Hai Lin
We propose a time series forecasting method named Quantum Gramian Angular Field (QGAF).
no code implementations • 13 Sep 2023 • Yujie Wang, Xiangru Xu
When the disturbance input matrix is nonlinear, existing disturbance observer design methods rely on the solvability of a partial differential equation or the existence of an output function with a uniformly well-defined disturbance relative degree, which can pose significant limitations.
no code implementations • 7 Aug 2023 • Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman jain, Yujie Wang
Large language models (LLMs) are incredibly powerful at comprehending and generating data in the form of text, but are brittle and error-prone.
1 code implementation • 5 Jul 2023 • Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Shenhan Zhu, Xiaonan Nie, Yaofeng Tu, Bin Cui
Transformer models have emerged as the leading approach for achieving state-of-the-art performance across various application domains, serving as the foundation for advanced large-scale deep learning (DL) models.
1 code implementation • 11 May 2023 • Yujie Wang, Chao Huang, Liner Yang, Zhixuan Fang, Yaping Huang, Yang Liu, Jingsi Yu, Erhong Yang
This paper introduces a novel crowdsourcing worker selection algorithm, enhancing annotation quality and reducing costs.
no code implementations • 16 Feb 2023 • Yujie Wang, Xiangru Xu
This paper presents a novel approach for the safe control design of systems with parametric uncertainties in both drift terms and control-input matrices.
3 code implementations • 25 Nov 2022 • Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui
Transformer models have achieved state-of-the-art performance on various domains of applications and gradually becomes the foundations of the advanced large deep learning (DL) models.
no code implementations • 3 Oct 2022 • Yujie Wang, Xuelin Chen, Baoquan Chen
We present a 3D generative model for general natural scenes.
1 code implementation • 12 Jul 2022 • Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang
Specifically, we propose the Inverse NMS Clustering (INC) and Rank Matching (RM) to instantiate the dense supervision, without the widely used, conventional sparse pseudo labels.
1 code implementation • SemEval (NAACL) 2022 • Cunliang Kong, Yujie Wang, Ruining Chong, Liner Yang, Hengyuan Zhang, Erhong Yang, Yaping Huang
This paper describes the BLCU-ICALL system used in the SemEval-2022 Task 1 Comparing Dictionaries and Word Embeddings, the Definition Modeling subtrack, achieving 1st on Italian, 2nd on Spanish and Russian, and 3rd on English and French.
no code implementations • 16 Apr 2022 • Yujie Wang, Mike Izbicki
We introduce the tree loss as a drop-in replacement for the cross entropy loss.
1 code implementation • 30 Mar 2022 • Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang
Specifically, for pseudo labeling, existing works only focus on the classification score yet fail to guarantee the localization precision of pseudo boxes; For consistency training, the widely adopted random-resize training only considers the label-level consistency but misses the feature-level one, which also plays an important role in ensuring the scale invariance.
no code implementations • 24 Mar 2022 • Yujie Wang, Xiangru Xu
This work presents a safe control design approach that integrates the disturbance observer (DOB) and the control barrier function (CBF) for systems with external disturbances.
no code implementations • 9 Dec 2021 • Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang
Based on the two observations, we propose Rank Mimicking (RM) and Prediction-guided Feature Imitation (PFI) for distilling one-stage detectors, respectively.
no code implementations • CVPR 2022 • Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, P. N. Suganthan
We show that with the help of a content-rich discrete visual codebook from VQ-VAE, the discrete diffusion model can also generate high fidelity images with global context, which compensates for the deficiency of the classical autoregressive model along pixel space.
no code implementations • 24 Nov 2021 • Yujie Wang, Junqin Huang, Mengya Gao, Yichao Wu, Zhenfei Yin, Ding Liang, Junjie Yan
Transferring with few data in a general way to thousands of downstream tasks is becoming a trend of the foundation model's application.
no code implementations • 16 Nov 2021 • Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao
Enormous waves of technological innovations over the past several years, marked by the advances in AI technologies, are profoundly reshaping the industry and the society.
no code implementations • 7 Nov 2021 • Yuxin Tian, Yujie Wang, Ming Ouyang, Xuesong Shi
This paper presents a hierarchical segment-based optimization method for Simultaneous Localization and Mapping (SLAM) system.
1 code implementation • 6 Jun 2021 • Yixin Zhuang, Yunzhe Liu, Yujie Wang, Baoquan Chen
However, the image features for describing 3D point samplings of implicit functions are less effective when significant variations of occlusions, views, and appearances exist from the image.
no code implementations • 31 Mar 2021 • Jiangfan Han, Mengya Gao, Yujie Wang, Quanquan Li, Hongsheng Li, Xiaogang Wang
To solve this problem, in this paper, we propose a novel student-dependent distillation method, knowledge consistent distillation, which makes teacher's knowledge more consistent with the student and provides the best suitable knowledge to different student networks for distillation.
no code implementations • 30 Mar 2021 • Shaopeng Guo, Yujie Wang, Kun Yuan, Quanquan Li
In this paper we propose a novel network adaption method called Differentiable Network Adaption (DNA), which can adapt an existing network to a specific computation budget by adjusting the width and depth in a differentiable manner.
no code implementations • 5 Feb 2021 • Ming Ouyang, Xuesong Shi, Yujie Wang, Yuxin Tian, Yingzhe Shen, Dawei Wang, Peng Wang, Zhiqiang Cao
We present a collaborative visual simultaneous localization and mapping (SLAM) framework for service robots.
no code implementations • 1 Jan 2021 • Yuxin Yue, Quanquan Li, Yujie Wang
Many commonly-used detection frameworks aim to handle the multi-scale object detection problem.
1 code implementation • CVPR 2020 • Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan
In DMCP, we model the channel pruning as a Markov process, in which each state represents for retaining the corresponding channel during pruning, and transitions between states denote the pruning process.
5 code implementations • 1 Jan 2020 • Jiacheng Li, Yujie Wang, Julian McAuley
Sequential recommender systems seek to exploit the order of users' interactions, in order to predict their next action based on the context of what they have done recently.
no code implementations • 8 Dec 2019 • Yingda Yin, Qingnan Fan, Dong-Dong Chen, Yujie Wang, Angelica Aviles-Rivero, Ruoteng Li, Carola-Bibiane Schnlieb, Baoquan Chen
Reflections are very common phenomena in our daily photography, which distract people's attention from the scene behind the glass.
no code implementations • 10 Oct 2019 • Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang
Despite the wide application of Graph Convolutional Network (GCN), one major limitation is that it does not benefit from the increasing depth and suffers from the oversmoothing problem.
no code implementations • 24 Jul 2018 • Yujie Wang, Simon Sun, Jahow Yu, Dr. Limin Yu
As melanoma diagnoses increase across the US, automated efforts to identify malignant lesions become increasingly of interest to the research community.
no code implementations • CVPR 2018 • Guanglu Song, Yu Liu, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng
Fully convolutional neural network (FCN) has been dominating the game of face detection task for a few years with its congenital capability of sliding-window-searching with shared kernels, which boiled down all the redundant calculation, and most recent state-of-the-art methods such as Faster-RCNN, SSD, YOLO and FPN use FCN as their backbone.
2 code implementations • ICCV 2017 • Xizhou Zhu, Yujie Wang, Jifeng Dai, Lu Yuan, Yichen Wei
The accuracy of detection suffers from degenerated object appearances in videos, e. g., motion blur, video defocus, rare poses, etc.
Ranked #28 on
Video Object Detection
on ImageNet VID