no code implementations • 29 May 2024 • Hongyuan Dong, Jiawen Li, Bohong Wu, Jiacong Wang, Yuan Zhang, Haoyuan Guo
We also design a more reliable caption evaluation metric called CAPTURE (CAPtion evaluation by exTracting and coUpling coRE information).
no code implementations • 24 May 2024 • Guibao Shen, Luozhou Wang, Jiantao Lin, Wenhang Ge, Chaozhe Zhang, Xin Tao, Yuan Zhang, Pengfei Wan, Zhongyuan Wang, Guangyong Chen, Yijun Li, Ying-Cong Chen
In this paper, we introduce the Scene Graph Adapter(SG-Adapter), leveraging the structured representation of scene graphs to rectify inaccuracies in the original text embeddings.
no code implementations • 23 May 2024 • Yuan Zhang, Fei Xiao, Tao Huang, Chun-Kai Fan, Hongyuan Dong, Jiawen Li, Jiacong Wang, Kuan Cheng, Shanghang Zhang, Haoyuan Guo
To this end, we provide a multi-modal benchmark ConBench, to intuitively analyze how LVLMs perform when the solution space of a prompt revolves around a knowledge point.
no code implementations • 21 May 2024 • Xinhao Yang, Zhen Han, Xiaodong Lu, Yuan Zhang
Furthermore, the trained model is integrated into Grasshopper as a tool, facilitating the rapid generation of traffic noise maps.
no code implementations • 4 May 2024 • Yuan Zhang, Jasper Hoffmann, Joschka Boedecker
Learning-based techniques have become popular in both model predictive control (MPC) and reinforcement learning (RL).
no code implementations • 11 Apr 2024 • Yuan Zhang, Xiaomei Tao, Hanxu Ai, Tao Chen, Yanling Gan
The method proposed in this paper not only contributes to a deeper understanding of the impact of instructional videos on learners' emotional states but also provides a beneficial reference for future research on emotion recognition in MOOC learning scenarios.
no code implementations • 29 Mar 2024 • Joel Ruben Antony Moniz, Soundarya Krishnan, Melis Ozyildirim, Prathamesh Saraf, Halim Cagri Ates, Yuan Zhang, Hong Yu, Nidhi Rajshree
Reference resolution is an important problem, one that is essential to understand and successfully handle context of different kinds.
no code implementations • 21 Mar 2024 • Baohe Zhang, Yuan Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker
However, for many real-world problems, it is often more convenient to formulate optimization problems in terms of rewards and constraints simultaneously.
no code implementations • 6 Mar 2024 • Naifu Xue, Qi Mao, Zijian Wang, Yuan Zhang, Siwei Ma
Recent progress in generative compression technology has significantly improved the perceptual quality of compressed data.
1 code implementation • 1 Mar 2024 • Lingyu Gu, Yongqi Du, Yuan Zhang, Di Xie, ShiLiang Pu, Robert C. Qiu, Zhenyu Liao
Modern deep neural networks (DNNs) are extremely powerful; however, this comes at the price of increased depth and having more parameters per layer, making their training and inference more computationally challenging.
1 code implementation • 23 Feb 2024 • Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski
Open ad hoc teamwork further complicates this challenge by considering environments with a changing number of teammates, referred to as open teams.
1 code implementation • 14 Feb 2024 • Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, Yuan Zhang, Michael Backes, Yun Shen, Yang Zhang
The increasing demand for customized Large Language Models (LLMs) has led to the development of solutions like GPTs.
1 code implementation • 5 Feb 2024 • Yifan Wang, Peijie Sun, Weizhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, Shaoping Ma
Fairness of recommender systems (RS) has attracted increasing attention recently.
no code implementations • 3 Feb 2024 • Hanxu Zhou, Yuan Zhang, Guangjie Leng, Ruofan Wang, Zhi-Qin John Xu
Therefore, in this article, we try to re-understand and define the time series anomaly detection problem through OCC, which we call 'time series anomaly state detection problem'.
no code implementations • 1 Feb 2024 • YIlun Zhu, Joel Ruben Antony Moniz, Shruti Bhargava, Jiarui Lu, Dhivya Piraviperumal, Site Li, Yuan Zhang, Hong Yu, Bo-Hsiang Tseng
Understanding context is key to understanding human language, an ability which Large Language Models (LLMs) have been increasingly seen to demonstrate to an impressive extent.
1 code implementation • 24 Jan 2024 • Yunjie Tian, Tianren Ma, Lingxi Xie, Jihao Qiu, Xi Tang, Yuan Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye
In this study, we establish a baseline for a new task named multimodal multi-round referring and grounding (MRG), opening up a promising direction for instance-level multimodal dialogues.
no code implementations • 26 Dec 2023 • Guanqun Wang, Jiaming Liu, Chenxuan Li, Junpeng Ma, Yuan Zhang, Xinyu Wei, Kevin Zhang, Maurice Chong, Ray Zhang, Yijiang Liu, Shanghang Zhang
However, the deployment of these large-scale MLLMs on client devices is hindered by their extensive model parameters, leading to a notable decline in generalization capabilities when these models are compressed for device deployment.
1 code implementation • 20 Dec 2023 • Tao Zhang, Xingye Tian, Yikang Zhou, Shunping Ji, Xuebo Wang, Xin Tao, Yuan Zhang, Pengfei Wan, Zhongyuan Wang, Yu Wu
We present the \textbf{D}ecoupled \textbf{VI}deo \textbf{S}egmentation (DVIS) framework, a novel approach for the challenging task of universal video segmentation, including video instance segmentation (VIS), video semantic segmentation (VSS), and video panoptic segmentation (VPS).
Ranked #1 on Video Semantic Segmentation on VSPW
no code implementations • 20 Dec 2023 • Yuan Zhang, Yaolei Qi, Xiaoming Qi, Lotfi Senhadji, Yongyue Wei, Feng Chen, Guanyu Yang
Federated learning (FL) for histopathology image segmentation involving multiple medical sites plays a crucial role in advancing the field of accurate disease diagnosis and treatment.
1 code implementation • 27 Nov 2023 • Qi Fan, Xin Tao, Lei Ke, Mingqiao Ye, Yuan Zhang, Pengfei Wan, Zhongyuan Wang, Yu-Wing Tai, Chi-Keung Tang
Thus, our solution, termed Stable-SAM, offers several advantages: 1) improved SAM's segmentation stability across a wide range of prompt qualities, while 2) retaining SAM's powerful promptable segmentation efficiency and generality, with 3) minimal learnable parameters (0. 08 M) and fast adaptation (by 1 training epoch).
no code implementations • 20 Nov 2023 • Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang
(2) During the distillation period, a pixel-wise frequency mask is generated via Frequency Prompt, to localize those pixel of interests (PoIs) in various frequency bands.
no code implementations • 3 Nov 2023 • Halim Cagri Ates, Shruti Bhargava, Site Li, Jiarui Lu, Siddhardha Maddula, Joel Ruben Antony Moniz, Anil Kumar Nalamalapu, Roman Hoang Nguyen, Melis Ozyildirim, Alkesh Patel, Dhivya Piraviperumal, Vincent Renkens, Ankit Samal, Thy Tran, Bo-Hsiang Tseng, Hong Yu, Yuan Zhang, Rong Zou
Successfully handling context is essential for any dialog understanding task.
1 code implementation • 2 Nov 2023 • Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie
Second, we develop a transition-aware embedding distillation module that distills global item-to-item transition patterns into item embeddings, which enables the model to memorize and leverage transitional signals and serves as a calibrator for collaborative signals.
no code implementations • 19 Sep 2023 • Yuan Zhang, Yuanqing Xia, Aming Li
This paper explores the structural controllability of switched linear continuous-time systems.
1 code implementation • 28 Aug 2023 • Tao Zhang, Xingye Tian, Yikang Zhou, Yu Wu, Shunping Ji, Cilin Yan, Xuebo Wang, Xin Tao, Yuan Zhang, Pengfei Wan
Video instance segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving.
no code implementations • 28 Aug 2023 • Zhaowei Wang, Zhisheng Yin, Xiucheng Wang, Nan Cheng, Yuan Zhang, Tom H. Luan
Considering the inherent co-channel interference due to spectrum sharing among multi-tier access networks in SAGIN, it can be leveraged to assist the physical layer security among heterogeneous transmissions.
no code implementations • 26 Aug 2023 • Jinglong Shen, Xiucheng Wang, Nan Cheng, Longfei Ma, Conghao Zhou, Yuan Zhang
As a promising paradigm federated Learning (FL) is widely used in privacy-preserving machine learning, which allows distributed devices to collaboratively train a model while avoiding data transmission among clients.
no code implementations • 18 Jul 2023 • Yuan Zhang, Tyrone Fernando, Mohamed Darouach
Based on these results, the problems of selecting the minimal sensors from a prior set to achieve functional observability and SFO are shown to be NP-hard.
1 code implementation • 17 Jul 2023 • Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang
In this paper, we call for a shift of attention from modeling user preferences to developing fair exposure mechanisms for items.
2 code implementations • ICCV 2023 • Yaolei Qi, Yuting He, Xiaoming Qi, Yuan Zhang, Guanyu Yang
In this work, we note the specificity of tubular structures and use this knowledge to guide our DSCNet to simultaneously enhance perception in three stages: feature extraction, feature fusion, and loss constraint.
1 code implementation • 10 Jul 2023 • Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
Through theoretical analyses, we find that the conservatism of existing methods fails in pursuing users' long-term satisfaction.
no code implementations • 5 Jul 2023 • Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M Louise Hull, Gustavo Carneiro
Next, we distill the knowledge from the teacher TVUS POD obliteration detector to train the student MRI model by minimizing a regression loss that approximates the output of the student to the teacher using unpaired TVUS and MRI data.
no code implementations • 30 Jun 2023 • Yuan Zhang, Jian Cao, Ling Zhang, Jue Chen, Wenyu Sun, YuAn Wang
The event streams generated by dynamic vision sensors (DVS) are sparse and non-uniform in the spatial domain, while still dense and redundant in the temporal domain.
1 code implementation • 7 Jun 2023 • Tao Zhang, Xingye Tian, Haoran Wei, Yu Wu, Shunping Ji, Xuebo Wang, Xin Tao, Yuan Zhang, Pengfei Wan
In this report, we successfully validated the effectiveness of the decoupling strategy in video panoptic segmentation.
1 code implementation • ICCV 2023 • Tao Zhang, Xingye Tian, Yu Wu, Shunping Ji, Xuebo Wang, Yuan Zhang, Pengfei Wan
The efficacy of the decoupling strategy relies on two crucial elements: 1) attaining precise long-term alignment outcomes via frame-by-frame association during tracking, and 2) the effective utilization of temporal information predicated on the aforementioned accurate alignment outcomes during refinement.
Ranked #3 on Video Panoptic Segmentation on VIPSeg
1 code implementation • NeurIPS 2023 • Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
To address this, we propose to denoise student features using a diffusion model trained by teacher features.
no code implementations • 19 May 2023 • Meijia Shao, Yuan Zhang
This paper studies the open problem of conformalized entry prediction in a row/column-exchangeable matrix.
1 code implementation • 4 May 2023 • Yuan Zhang, Weihua Chen, Yichen Lu, Tao Huang, Xiuyu Sun, Jian Cao
Knowledge distillation is an effective paradigm for boosting the performance of pocket-size model, especially when multiple teacher models are available, the student would break the upper limit again.
no code implementations • 17 Apr 2023 • Yuan Zhang, Ranbo Cheng, Yuanqing Xia
This paper addresses the problem of determining the minimum set of state variables in a network that need to be blocked from direct measurements in order to protect functional privacy with respect to {\emph{any}} output matrices.
no code implementations • 23 Mar 2023 • Yuan Zhang, Chuanyi Li, Yu Sheng, Jidong Ge, Bin Luo
It is a difficult but necessary task to extract the key information for the cases from these textual materials and to clarify the dispute focus of related parties.
no code implementations • 25 Feb 2023 • Chengyu Zheng, Yuan Zhou, Xiulian Peng, Yuan Zhang, Yan Lu
Time-variant factors often occur in real-world full-duplex communication applications.
no code implementations • 23 Feb 2023 • Yuan Zhang, Yuanqing Xia, Long Wang
This paper investigates the reachability and controllability of temporal continuous-time linear networks from a generic viewpoint, where only the zero-nonzero patterns of subsystem matrices are known.
no code implementations • 21 Feb 2023 • Chengyu Zheng, Yuan Zhou, Xiulian Peng, Yuan Zhang, Yan Lu
For real-time speech enhancement (SE) including noise suppression, dereverberation and acoustic echo cancellation, the time-variance of the audio signals becomes a severe challenge.
no code implementations • 6 Feb 2023 • Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai
Embedding-based retrieval (EBR) methods are widely used in modern recommender systems thanks to its simplicity and effectiveness.
no code implementations • 30 Jan 2023 • Yuan Zhang, Joschka Boedecker, Chuxuan Li, Guyue Zhou
Model Predictive Control (MPC) is attracting tremendous attention in the autonomous driving task as a powerful control technique.
no code implementations • 29 Dec 2022 • Yuan Zhang, Jianhua Zhang, Yuxiang Zhang, Yuan YAO, Guangyi Liu
However, the channel might not satisfy isotropic scattering because of generalized angle distributions, and the antenna gain is limited by the array aperture in reality.
1 code implementation • 23 Nov 2022 • Kai Shen, Yichong Leng, Xu Tan, Siliang Tang, Yuan Zhang, Wenjie Liu, Edward Lin
Since the error rate of the incorrect sentence is usually low (e. g., 10\%), the correction model can only learn to correct on limited error tokens but trivially copy on most tokens (correct tokens), which harms the effective training of error correction.
3 code implementations • 23 Nov 2022 • Xianzhe Xu, Yiqi Jiang, Weihua Chen, Yilun Huang, Yuan Zhang, Xiuyu Sun
Based on these new techs, we build a suite of models at various scales to meet the needs of different scenarios.
Ranked #32 on Real-Time Object Detection on MS COCO
no code implementations • 22 Nov 2022 • Xue Jiang, Xiulian Peng, Yuan Zhang, Yan Lu
Recently end-to-end neural audio/speech coding has shown its great potential to outperform traditional signal analysis based audio codecs.
no code implementations • 16 Nov 2022 • Yuan Zhang, Zhiqi Bu
Machine learning models have shone in a variety of domains and attracted increasing attention from both the security and the privacy communities.
1 code implementation • 21 Sep 2022 • Qinglan Wei, Xuling Huang, Yuan Zhang
In the latest social networks, more and more people prefer to express their emotions in videos through text, speech, and rich facial expressions.
no code implementations • 20 Aug 2022 • Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai
However, as users continue to watch videos and feedback, the changing context leads the ranking of the server-side recommendation system inaccurate.
1 code implementation • 18 Aug 2022 • Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He
To facilitate model learning, we further collect rich features of users and items as well as users' behavior history.
1 code implementation • 16 Aug 2022 • Meijia Shao, Dong Xia, Yuan Zhang, Qiong Wu, Shuo Chen
Two-sample hypothesis testing for network comparison presents many significant challenges, including: leveraging repeated network observations and known node registration, but without requiring them to operate; relaxing strong structural assumptions; achieving finite-sample higher-order accuracy; handling different network sizes and sparsity levels; fast computation and memory parsimony; controlling false discovery rate (FDR) in multiple testing; and theoretical understandings, particularly regarding finite-sample accuracy and minimax optimality.
no code implementations • 18 Jul 2022 • Xue Jiang, Xiulian Peng, Huaying Xue, Yuan Zhang, Yan Lu
Neural audio/speech coding has recently demonstrated its capability to deliver high quality at much lower bitrates than traditional methods.
no code implementations • 7 Jul 2022 • Xue Jiang, Xiulian Peng, Huaying Xue, Yuan Zhang, Yan Lu
In this paper, we introduce a cross-scale scalable vector quantization scheme (CSVQ), in which multi-scale features are encoded progressively with stepwise feature fusion and refinement.
1 code implementation • 5 Jul 2022 • Yuan Zhang, Jianhong Wang, Joschka Boedecker
To deal with unknown uncertainty sets, we further propose a novel adversarial approach to generate them based on the value function.
1 code implementation • 29 May 2022 • Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu
To obtain a group of masks, the receptive tokens are learned via the regular task loss but with teacher fixed, and we also leverage a Dice loss to enrich the diversity of learned masks.
no code implementations • 13 Apr 2022 • Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu
According to the technical reports of the top-tier teams, CAM is still the most popular approach in WSSS.
Data Augmentation Weakly supervised Semantic Segmentation +1
1 code implementation • 4 Apr 2022 • Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang
The basic idea is to first learn a causal user model on historical data to capture the overexposure effect of items on user satisfaction.
no code implementations • 3 Apr 2022 • Yuan Zhang, Yuanqing Xia, Shenyu Liu, Zhongqi Sun
In this paper, it is found that, if the input structure satisfies certain `regularizations', which are characterized by the proposed restricted total unimodulairty notion, those problems can be solvable in polynomial time via linear programming (LP) relaxations.
1 code implementation • 29 Jan 2022 • Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang
The proposed approach is currently serving over hundreds of millions of users on the platform and achieves one of the most tremendous improvements over these months.
no code implementations • 27 Jan 2022 • David Butler, Yuan Zhang, Tim Chen, Seon Ho Shin, Rajvinder Singh, Gustavo Carneiro
We advocate that the field should instead focus on the development of simple and efficient detectors that an be combined with effective trackers to allow the implementation of real-time polyp detectors.
no code implementations • 24 Jan 2022 • Xue Jiang, Xiulian Peng, Chengyu Zheng, Huaying Xue, Yuan Zhang, Yan Lu
Deep-learning based methods have shown their advantages in audio coding over traditional ones but limited attention has been paid on real-time communications (RTC).
no code implementations • 4 Jan 2022 • Yuan Zhang, Yuanqing Xia, Yufeng Zhan
This paper addresses the real structured controllability, stabilizability, and stability radii (RSCR, RSSZR, and RSSR, respectively) of linear systems, which involve determining the distance (in terms of matrix norms) between a (possibly large-scale) system and its nearest uncontrollable, unstabilizable, and unstable systems, respectively, with a prescribed affine structure.
1 code implementation • 25 Dec 2021 • Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
Specifically, we creatively propose Multi-granularity Intent Heterogeneous Session Graph which captures the interactions between different granularity intent units and relieves the burden of long-dependency.
1 code implementation • CVPR 2022 • Xingyu Chen, Yufeng Liu, Yajiao Dong, Xiong Zhang, Chongyang Ma, Yanmin Xiong, Yuan Zhang, Xiaoyan Guo
In this work, we propose a framework for single-view hand mesh reconstruction, which can simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal coherence.
Ranked #7 on 3D Hand Pose Estimation on DexYCB
1 code implementation • EMNLP 2021 • Panupong Pasupat, Yuan Zhang, Kelvin Guu
In practical applications of semantic parsing, we often want to rapidly change the behavior of the parser, such as enabling it to handle queries in a new domain, or changing its predictions on certain targeted queries.
no code implementations • 4 Oct 2021 • Yuan Zhang, Jian Cao, Ling Zhang, Xiangcheng Liu, Zhiyi Wang, Feng Ling, Weiqian Chen
Learning subtle representation about object parts plays a vital role in fine-grained visual recognition (FGVR) field.
Ranked #10 on Fine-Grained Image Classification on Stanford Dogs
Fine-Grained Image Classification Fine-Grained Visual Recognition
no code implementations • 29 Sep 2021 • Hanxiao Chen, Meng Hao, Hongwei Li, Guangxiao Niu, Guowen Xu, Huawei Wang, Yuan Zhang, Tianwei Zhang
Heterogeneous federated learning (HFL) enables clients with different computation/communication capabilities to collaboratively train their own customized models, in which the knowledge of models is shared via clients' predictions on a public dataset.
no code implementations • 14 Sep 2021 • Xiangcheng Liu, Jian Cao, Hongyi Yao, Wenyu Sun, Yuan Zhang
While previous pruning methods have mostly focused on identifying unimportant channels, channel pruning is considered as a special case of neural architecture search in recent years.
no code implementations • 13 Sep 2021 • Meiqi Chen, Yuan Zhang, Xiaoyu Kou, Yuntao Li, Yan Zhang
To tackle this issue, we propose r-GAT, a relational graph attention network to learn multi-channel entity representations.
1 code implementation • 9 Sep 2021 • Zhi Qiao, Yu Zhou, Jin Wei, Wei Wang, Yuan Zhang, Ning Jiang, Hongbin Wang, Weiping Wang
In this paper, we propose a Parallel, Iterative and Mimicking Network (PIMNet) to balance accuracy and efficiency.
no code implementations • 10 Aug 2021 • Yuan Zhang, Yuanqing Xia, Yufeng Zhan
Subject to a certain condition on the prescribed input configurations that contains the dedicated input one as a special case, we demonstrate that the constraint matrices of these ILPs are totally unimodular.
no code implementations • 5 Aug 2021 • Ling Zhang, Jian Cao, Yuan Zhang, Bohan Zhou, Shuo Feng
This method uses distillation to effectively avoid the weakness of STBP, which can achieve SOTA performance in classification, and can obtain a smaller, faster convergence and lower power consumption SNN reinforcement learning model.
no code implementations • ACL 2021 • Xinya Du, Luheng He, Qi Li, Dian Yu, Panupong Pasupat, Yuan Zhang
To address this problem, we introduce QA-driven slot filling (QASF), which extracts slot-filler spans from utterances with a span-based QA model.
no code implementations • 30 Jun 2021 • Zhongyuan Lyu, Dong Xia, Yuan Zhang
We formulate the relationship between the latent positions and the observed data via a generalized multilinear kernel as the link function.
no code implementations • 26 Jun 2021 • Yuan Zhang, Yuanqing Xia
This paper introduces a new controllability notion, termed partial strong structural controllability (PSSC), on a structured system whose entries of system matrices are either fixed zero or indeterminate, which naturally extends the conventional strong structural controllability (SSC) and bridges the gap between structural controllability and SSC.
1 code implementation • 31 May 2021 • Jianhong Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim
This paper studies a theoretical framework for value factorisation with interpretability via Shapley value theory.
no code implementations • 26 May 2021 • Wen Gao, Shan Liu, Xiaozhong Xu, Manouchehr Rafie, Yuan Zhang, Igor Curcio
Specifically, we will first provide an overview of the MPEG VCM group including use cases, requirements, processing pipelines, plan for potential VCM standards, followed by the evaluation framework including machine-vision tasks, dataset, evaluation metrics, and anchor generation.
2 code implementations • 15 Apr 2021 • Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang
Sequence-to-sequence (seq2seq) models are prevalent in semantic parsing, but have been found to struggle at out-of-distribution compositional generalization.
Ranked #3 on Semantic Parsing on CFQ
no code implementations • NAACL 2021 • Dian Yu, Luheng He, Yuan Zhang, Xinya Du, Panupong Pasupat, Qi Li
Few-shot learning arises in important practical scenarios, such as when a natural language understanding system needs to learn new semantic labels for an emerging, resource-scarce domain.
1 code implementation • bioRxiv 2021 • Yuan Zhang, Arunima Mandal, Kevin Cui, Xiuwen Liu, Jinfeng Zhang
The prediction is very fast compared with other protein sequence prediction servers - it takes only a few minutes for a query protein on average.
no code implementations • 22 Mar 2021 • Yuan Zhang, Yuanqing Xia
This paper proposes a novel notion for structural controllability under structured numerical perturbations, namely the perturbation-tolerant structural controllability (PTSC), on a single-input structured system whose entries can be classified into three categories: fixed zero entries, unknown generic entries whose values are fixed but unknown, and perturbed entries that can take arbitrary complex values.
no code implementations • 17 Dec 2020 • Chengyu Zheng, Xiulian Peng, Yuan Zhang, Sriram Srinivasan, Yan Lu
In this paper, we propose a novel idea to model speech and noise simultaneously in a two-branch convolutional neural network, namely SN-Net.
Ranked #1 on Speech Enhancement on Deep Noise Suppression (DNS) Challenge (SI-SDR-NB metric)
no code implementations • 8 Dec 2020 • Yuan Zhang, Zhiyang Teng, Yue Zhang
Chinese parsing has traditionally been solved by three pipeline systems including word-segmentation, part-of-speech tagging and dependency parsing modules.
2 code implementations • 6 Dec 2020 • Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Yan Feng, Chun Chen
Knowledge distillation is a technique to enhance the generalization ability of a student model by exploiting outputs from a teacher model.
no code implementations • 24 Sep 2020 • Hongwei Zhang, Tijin Yan, Zenjun Xie, Yuanqing Xia, Yuan Zhang
Based on our theoretical and empirical analysis, we establish a universal theoretical framework of GCN from an optimization perspective and derive a novel convolutional kernel named GCN+ which has lower parameter amount while relieving the over-smoothing inherently.
no code implementations • ECCV 2020 • Tian Chen, Shijie An, Yuan Zhang, Chongyang Ma, Huayan Wang, Xiaoyan Guo, Wen Zheng
Monocular depth estimation plays a crucial role in 3D recognition and understanding.
no code implementations • WS 2020 • Yimeng Zhuang, Yuan Zhang, Lijie Wang
This paper describes the LIT Team{'}s submission to the IWSLT2020 open domain translation task, focusing primarily on Japanese-to-Chinese translation direction.
2 code implementations • ICLR 2021 • Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu
We test HDNO on MultiWoz 2. 0 and MultiWoz 2. 1, the datasets on multi-domain dialogues, in comparison with word-level E2E model trained with RL, LaRL and HDSA, showing improvements on the performance evaluated by automatic evaluation metrics and human evaluation.
Hierarchical Reinforcement Learning reinforcement-learning +2
no code implementations • NAACL 2021 • Deepak Muralidharan, Joel Ruben Antony Moniz, Sida Gao, Xiao Yang, Justine Kao, Stephen Pulman, Atish Kothari, Ray Shen, Yinying Pan, Vivek Kaul, Mubarak Seyed Ibrahim, Gang Xiang, Nan Dun, Yidan Zhou, Andy O, Yuan Zhang, Pooja Chitkara, Xuan Wang, Alkesh Patel, Kushal Tayal, Roger Zheng, Peter Grasch, Jason D. Williams, Lin Li
Named Entity Recognition (NER) and Entity Linking (EL) play an essential role in voice assistant interaction, but are challenging due to the special difficulties associated with spoken user queries.
2 code implementations • ACL 2020 • Yang Li, Jiacong He, Xin Zhou, Yuan Zhang, Jason Baldridge
We present a new problem: grounding natural language instructions to mobile user interface actions, and create three new datasets for it.
1 code implementation • 14 Apr 2020 • Yuan Zhang, Dong Xia
In this paper, we present the first higher-order accurate approximation to the sampling CDF of a studentized network moment by Edgeworth expansion.
no code implementations • CVPR 2020 • Dong Wang, Yuan Zhang, Kexin Zhang, Li-Wei Wang
Applying artificial intelligence techniques in medical imaging is one of the most promising areas in medicine.
no code implementations • 28 Feb 2020 • Rang Meng, Wei-Jie Chen, Di Xie, Yuan Zhang, ShiLiang Pu
In this paper, for the first time, we systematically investigate the impact of different layer assignments to the network performance by building an architecture dataset of layer assignment on CIFAR-100.
1 code implementation • 18 Dec 2019 • Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang
Recently, the embedding-based recommendation models (e. g., matrix factorization and deep models) have been prevalent in both academia and industry due to their effectiveness and flexibility.
no code implementations • CONLL 2019 • Gabriel Ilharco, Yuan Zhang, Jason Baldridge
Systems that can associate images with their spoken audio captions are an important step towards visually grounded language learning.
3 code implementations • IJCNLP 2019 • Yinfei Yang, Yuan Zhang, Chris Tar, Jason Baldridge
Most existing work on adversarial data generation focuses on English.
2 code implementations • 11 Jul 2019 • Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu
To deal with this problem, we i) introduce a cooperative-game theoretical framework called extended convex game (ECG) that is a superset of global reward game, and ii) propose a local reward approach called Shapley Q-value.
1 code implementation • ACL 2019 • Yuan Zhang, Yue Zhang
Tree-LSTMs have been used for tree-based sentiment analysis over Stanford Sentiment Treebank, which allows the sentiment signals over hierarchical phrase structures to be calculated simultaneously.
2 code implementations • NAACL 2019 • Yuan Zhang, Jason Baldridge, Luheng He
Existing paraphrase identification datasets lack sentence pairs that have high lexical overlap without being paraphrases.
3 code implementations • CVPR 2019 • Wei-Jie Chen, Di Xie, Yuan Zhang, ShiLiang Pu
In this family of architectures, the basic block is only composed by 1x1 convolutional layers with only a few shift operations applied to the intermediate feature maps.
no code implementations • 24 Jan 2019 • Yuan Zhang, Dong Wang, Yan Zhang
Recently, neural models for information retrieval are becoming increasingly popular.
no code implementations • 17 Dec 2018 • Wei-Jie Chen, Yuan Zhang, Di Xie, ShiLiang Pu
A better alternative is to propagate the entire useful information to reconstruct the pruned layer instead of directly discarding the less important neurons.
no code implementations • 1 Nov 2018 • Xiaoran Xu, Songpeng Zu, Chengliang Gao, Yuan Zhang, Wei Feng
Real-world scenarios demand reasoning about process, more than final outcome prediction, to discover latent causal chains and better understand complex systems.
no code implementations • EMNLP 2018 • Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge, David Weiss
We address fine-grained multilingual language identification: providing a language code for every token in a sentence, including codemixed text containing multiple languages.
no code implementations • 29 Jul 2018 • Yuan Zhang
We propose a consistent polynomial-time method for the unseeded node matching problem for networks with smooth underlying structures.
1 code implementation • 25 Jul 2018 • Xiaoran Xu, Songpeng Zu, Yuan Zhang, Hanning Zhou, Wei Feng
Then, the SCG can be trained based on these surrogate costs using standard backpropagation.
1 code implementation • 24 Jul 2018 • Qingbei Guo, Yuan Zhang, Jaime Lloretz, Burak Kantarcix, Winston K. G. Seah
This study proposes a localization method that can avoid the occurrence of flip ambiguities in bounded distance measurement errors and constrained flying motions; to demonstrate its efficacy, the method is implemented on bilateration and trilateration.
Signal Processing Other Computer Science
no code implementations • CVPR 2018 • Da Pan, Ping Shi, Ming Hou, Zefeng Ying, Sizhe Fu, Yuan Zhang
A key problem in blind image quality assessment (BIQA) is how to effectively model the properties of human visual system in a data-driven manner.
1 code implementation • TACL 2017 • Yuan Zhang, Regina Barzilay, Tommi Jaakkola
We introduce a neural method for transfer learning between two (source and target) classification tasks or aspects over the same domain.
no code implementations • ACL 2016 • Yuan Zhang, David Weiss
Traditional syntax models typically leverage part-of-speech (POS) information by constructing features from hand-tuned templates.
1 code implementation • 29 Sep 2015 • Yuan Zhang, Elizaveta Levina, Ji Zhu
The estimation of probabilities of network edges from the observed adjacency matrix has important applications to predicting missing links and network denoising.
no code implementations • 3 Sep 2015 • Yuan Zhang, Elizaveta Levina, Ji Zhu
Many methods have been proposed for community detection in networks, but most of them do not take into account additional information on the nodes that is often available in practice.
no code implementations • 10 Dec 2014 • Yuan Zhang, Elizaveta Levina, Ji Zhu
Community detection is a fundamental problem in network analysis which is made more challenging by overlaps between communities which often occur in practice.