no code implementations • WMT (EMNLP) 2020 • Chi Hu, Hui Liu, Kai Feng, Chen Xu, Nuo Xu, Zefan Zhou, Shiqin Yan, Yingfeng Luo, Chenglong Wang, Xia Meng, Tong Xiao, Jingbo Zhu
This paper describes the submissions of the NiuTrans Team to the WMT 2020 Quality Estimation Shared Task.
no code implementations • IWSLT (ACL) 2022 • Yuhao Zhang, Canan Huang, Chen Xu, Xiaoqian Liu, Bei Li, Anxiang Ma, Tong Xiao, Jingbo Zhu
This paper describes NiuTrans’s submission to the IWSLT22 English-to-Chinese (En-Zh) offline speech translation task.
no code implementations • COLING 2022 • Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen
In this paper, we formalize the task of semantic sentence matching as a problem of graph matching in which each sentence is represented as a directed graph according to its syntactic structures.
1 code implementation • 27 Apr 2024 • Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
From a taxation perspective, we theoretically demonstrate that most previous fair re-ranking methods can be reformulated as an item-level tax policy.
1 code implementation • 26 Apr 2024 • Tao Liu, Yuhang Zhang, Zhu Feng, Zhiqin Yang, Chen Xu, Dapeng Man, Wu Yang
Trained backdoored global model is more resilient to benign updates, leading to a higher attack success rate on the test set.
no code implementations • 22 Apr 2024 • Chen Xu, Tianhui Song, Weixin Feng, Xubin Li, Tiezheng Ge, Bo Zheng, LiMin Wang
Diffusion models have significantly advanced the state of the art in image, audio, and video generation tasks.
1 code implementation • 17 Apr 2024 • Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
With the rapid advancement of large language models (LLMs), information retrieval (IR) systems, such as search engines and recommender systems, have undergone a significant paradigm shift.
1 code implementation • 6 Mar 2024 • Chen Xu, Hanyang Jiang, Yao Xie
Conformal prediction (CP) has been a popular method for uncertainty quantification because it is distribution-free, model-agnostic, and theoretically sound.
no code implementations • 4 Mar 2024 • Chen Xu, Tian Lan, Changlong Yu, Wei Wang, Jun Gao, Yu Ji, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu
Lexicon-based constrained decoding approaches aim to control the meaning or style of the generated text through certain target concepts.
1 code implementation • 21 Feb 2024 • Tian Lan, Wenwei Zhang, Chen Xu, Heyan Huang, Dahua Lin, Kai Chen, Xian-Ling Mao
Critique ability are crucial in the scalable oversight and self-improvement of Large Language Models (LLMs).
1 code implementation • 16 Feb 2024 • Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi
Specifically, FairSync resolves the issue by moving it to the dual space, where a central node aggregates historical fairness data into a vector and distributes it to all servers.
no code implementations • 15 Feb 2024 • Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua
Nevertheless, applying Fed4Rec to LLM-based recommendation presents two main challenges: first, an increase in the imbalance of performance across clients, affecting the system's efficiency over time, and second, a high demand on clients' computational and storage resources for local training and inference of LLMs.
no code implementations • 18 Dec 2023 • Yuhao Zhang, Kaiqi Kou, Bei Li, Chen Xu, Chunliang Zhang, Tong Xiao, Jingbo Zhu
End-to-end Speech Translation (ST) aims to convert speech into target text within a unified model.
1 code implementation • 17 Dec 2023 • Dawei Yang, Ning He, Xing Hu, Zhihang Yuan, Jiangyong Yu, Chen Xu, Zhe Jiang
Although neural networks have made remarkable advancements in various applications, they require substantial computational and memory resources.
no code implementations • 13 Nov 2023 • Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua
Recently, Large Language Models (LLMs) have enhanced user interaction, enabling seamless information retrieval and recommendations.
1 code implementation • 7 Nov 2023 • Yuhao Zhang, Chen Xu, Bei Li, Hao Chen, Tong Xiao, Chunliang Zhang, Jingbo Zhu
Significant improvements in end-to-end speech translation (ST) have been achieved through the application of multi-task learning.
1 code implementation • 30 Oct 2023 • Chen Xu, JongHyeok Lee, Xiuyuan Cheng, Yao Xie
We present a computationally efficient framework, called $\texttt{FlowDRO}$, for solving flow-based distributionally robust optimization (DRO) problems with Wasserstein uncertainty sets while aiming to find continuous worst-case distribution (also called the Least Favorable Distribution, LFD) and sample from it.
no code implementations • 29 Oct 2023 • Yuanze Li, Haolin Wang, Shihao Yuan, Ming Liu, Debin Zhao, Yiwen Guo, Chen Xu, Guangming Shi, WangMeng Zuo
Existing industrial anomaly detection (IAD) methods predict anomaly scores for both anomaly detection and localization.
1 code implementation • 21 Sep 2023 • Chen Xu, Xiaoqian Liu, Erfeng He, Yuhao Zhang, Qianqian Dong, Tong Xiao, Jingbo Zhu, Dapeng Man, Wu Yang
In this study, we present synchronous bilingual Connectionist Temporal Classification (CTC), an innovative framework that leverages dual CTC to bridge the gaps of both modality and language in the speech translation (ST) task.
no code implementations • 19 Aug 2023 • Chen Xu, Yuhan Zhu, Guozhen Zhang, Haocheng Shen, Yixuan Liao, Xiaoxin Chen, Gangshan Wu, LiMin Wang
Prompt learning has emerged as an efficient and effective approach for transferring foundational Vision-Language Models (e. g., CLIP) to downstream tasks.
1 code implementation • 11 Aug 2023 • Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen
RFL means that recommender system can only receive feedback on exposed items from users and update recommender models incrementally based on this feedback.
no code implementations • 20 Jun 2023 • Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao, Jingbo Zhu
Recently, speech-to-text translation has attracted more and more attention and many studies have emerged rapidly.
1 code implementation • 13 Jun 2023 • Yuchen Han, Chen Xu, Tong Xiao, Jingbo Zhu
Pre-training and fine-tuning is a paradigm for alleviating the data scarcity problem in end-to-end speech translation (E2E ST).
1 code implementation • 8 Jun 2023 • Xinhang Li, Yiying Yang, Zheng Yuan, Zhe Wang, Qinwen Wang, Chen Xu, Lei LI, Jianhua He, Lin Zhang
For the more challenging problem of pursuing multiple evading vehicles, these algorithms typically select a fixed target evading vehicle for pursuing vehicles without considering dynamic traffic situation, which significantly reduces pursuing success rate.
no code implementations • 5 Jun 2023 • Qianqian Dong, Zhiying Huang, Qiao Tian, Chen Xu, Tom Ko, Yunlong Zhao, Siyuan Feng, Tang Li, Kexin Wang, Xuxin Cheng, Fengpeng Yue, Ye Bai, Xi Chen, Lu Lu, Zejun Ma, Yuping Wang, Mingxuan Wang, Yuxuan Wang
For the speech synthesis part, we adopt the existing VALL-E X approach and build a unit-based audio language model.
1 code implementation • 27 May 2023 • Chen Xu, Yuhao Zhang, Chengbo Jiao, Xiaoqian Liu, Chi Hu, Xin Zeng, Tong Xiao, Anxiang Ma, Huizhen Wang, Jingbo Zhu
While Transformer has become the de-facto standard for speech, modeling upon the fine-grained frame-level features remains an open challenge of capturing long-distance dependencies and distributing the attention weights.
1 code implementation • 27 May 2023 • Chen Xu, Xiaoqian Liu, Xiaowen Liu, Qingxuan Sun, Yuhao Zhang, Murun Yang, Qianqian Dong, Tom Ko, Mingxuan Wang, Tong Xiao, Anxiang Ma, Jingbo Zhu
Combining end-to-end speech translation (ST) and non-autoregressive (NAR) generation is promising in language and speech processing for their advantages of less error propagation and low latency.
no code implementations • 19 May 2023 • Chen Xu, Xiuyuan Cheng, Yao Xie
Flow-based models are widely used in generative tasks, including normalizing flow, where a neural network transports from a data distribution $P$ to a normal distribution.
1 code implementation • 3 May 2023 • Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu
The debut of ChatGPT has recently attracted the attention of the natural language processing (NLP) community and beyond.
no code implementations • 26 Apr 2023 • Anatoli Juditsky, Arkadi Nemirovski, Yao Xie, Chen Xu
We introduce a new computational framework for estimating parameters in generalized generalized linear models (GGLM), a class of models that extends the popular generalized linear models (GLM) to account for dependencies among observations in spatio-temporal data.
no code implementations • 17 Apr 2023 • Chen Xu, Haocheng Shen, Fengyuan Shi, Boheng Chen, Yixuan Liao, Xiaoxin Chen, LiMin Wang
To the best of our knowledge, we are the first to demonstrate the superior performance of visual prompts in V-L models to previous prompt-based methods in downstream tasks.
no code implementations • CVPR 2023 • Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu
Our method dynamically expands the geometry of the underlying space to match growing geometric structures induced by new data, and prevents forgetting by keeping geometric structures of old data into account.
1 code implementation • 15 Mar 2023 • Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen
According to the graph, two complementary propensity scores are estimated from the views of item and user, respectively, based on the same set of user feedback data.
1 code implementation • 12 Mar 2023 • Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenghua Dong
In this paper, we proposed an online re-ranking model named Provider Max-min Fairness Re-ranking (P-MMF) to tackle the problem.
1 code implementation • 1 Mar 2023 • Saghir Alfasly, Zaid Al-huda, Saifullah Bello, Ahmed Elazab, Jian Lu, Chen Xu
However, estimating object rotation with respect to other visual objects in the visual context of an input image still lacks deep studies due to the unavailability of object datasets with rotation annotations.
1 code implementation • NeurIPS 2023 • Chen Xu, Xiuyuan Cheng, Yao Xie
Normalizing flow is a class of deep generative models for efficient sampling and likelihood estimation, which achieves attractive performance, particularly in high dimensions.
no code implementations • 29 Dec 2022 • Yuhang Zhang, Shishun Tian, Muxin Liao, Zhengyu Zhang, Wenbin Zou, Chen Xu
In this paper, we propose a class-wise non-salient region generalized (CNSG) framework for the VGSS task.
1 code implementation • 7 Dec 2022 • Chen Xu, Yao Xie
We present a new distribution-free conformal prediction algorithm for sequential data (e. g., time series), called the \textit{sequential predictive conformal inference} (\texttt{SPCI}).
1 code implementation • 7 Dec 2022 • Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu
First, the pretrained language models adopted by current works ignore event-level knowledge, resulting in an inability to capture the correlations between events well.
no code implementations • 4 Dec 2022 • Yuhao Zhang, Chen Xu, Bojie Hu, Chunliang Zhang, Tong Xiao, Jingbo Zhu
We present a method for introducing a text encoder into pre-trained end-to-end speech translation systems.
1 code implementation • Sensors 2022 • Ruipeng Zhang, Chen Xu, Mengjun Xie
The experimental results demonstrate that our solution can maintain high performance with a throughput of approximately 800 reads per second (RPS), 50–80 transactions per second (TPS), and a latency of 50 ms–2 s under light to moderate workloads.
1 code implementation • Sensors 2022 • Ruipeng Zhang, Chen Xu, Mengjun Xie
The experimental results demonstrate that our solution can maintain high performance with a throughput of approximately 800 reads per second (RPS), 50–80 transactions per second (TPS), and a latency of 50 ms–2 s under light to moderate workloads.
1 code implementation • 24 Oct 2022 • Yiying Yang, Xinhang Li, Zheng Yuan, Qinwen Wang, Chen Xu, Lin Zhang
However, existing works on MVP pay little attention to the importance of information exchange and cooperation among pursuing vehicles under the complex urban traffic environment.
no code implementations • 19 Oct 2022 • Xu Yuan, Chen Xu, Qiwei Chen, Tao Zhuang, Hongjie Chen, Chao Li, Junfeng Ge
This paper proposes a Hierarchical Multi-Interest Co-Network (HCN) to capture users' diverse interests in the coarse-grained ranking stage.
1 code implementation • Sensors 2022 • Ruipeng Zhang, Chen Xu, Mengjun Xie
The experimental results demonstrate that our solution can maintain high performance with a throughput of approximately 800 reads per second (RPS), 50–80 transactions per second (TPS), and a latency of 50 ms–2 s under light to moderate workloads.
2 code implementations • 15 Jun 2022 • Chen Xu, Yao Xie
When building either prediction intervals for regression (with real-valued response) or prediction sets for classification (with categorical responses), uncertainty quantification is essential to studying complex machine learning methods.
1 code implementation • 2 Jun 2022 • Chen Xu, Xiuyuan Cheng, Yao Xie
The proposed model consists of an invertible sub-network that maps one-to-one from data to an intermediate encoded feature, which allows forward prediction by a linear classification sub-network as well as efficient generation from output labels via a parametric mixture model.
1 code implementation • 2 May 2022 • Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang, Chuangbai Xiao
In this work, we propose COSPLAY(COncept Set guided PersonaLized dialogue generation Across both partY personas) that considers both parties as a "team": expressing self-persona while keeping curiosity toward the partner, leading responses around mutual personas, and finding the common ground.
no code implementations • CVPR 2022 • Saghir Alfasly, Jian Lu, Chen Xu, Yuru Zou
However, effectively leveraging the audio modality in vision-specific annotated videos for action recognition is of particular challenge.
1 code implementation • 17 Feb 2022 • Chen Xu, Xiuyuan Cheng, Yao Xie
We propose an alternative approach to neural network training using the monotone vector field, an idea inspired by the seminal work of Juditsky and Nemirovski [Juditsky & Nemirovsky, 2019] developed originally to solve parameter estimation problems for generalized linear models (GLM) by reducing the original non-convex problem to a convex problem of solving a monotone variational inequality (VI).
1 code implementation • 9 Aug 2021 • Zhe Wang, Xinhang Li, Tianhao Wu, Chen Xu, Lin Zhang
This paper proposes a Swarm-Federated Deep Learning framework in the IoV system (IoV-SFDL) that integrates SL into the FDL framework.
no code implementations • ACL (IWSLT) 2021 • Chen Xu, Xiaoqian Liu, Xiaowen Liu, Laohu Wang, Canan Huang, Tong Xiao, Jingbo Zhu
This paper describes the submission of the NiuTrans end-to-end speech translation system for the IWSLT 2021 offline task, which translates from the English audio to German text directly without intermediate transcription.
1 code implementation • 25 May 2021 • Chen Xu, Yao Xie
We develop a distribution-free, unsupervised anomaly detection method called ECAD, which wraps around any regression algorithm and sequentially detects anomalies.
no code implementations • ACL 2021 • Chen Xu, Bojie Hu, Yanyang Li, Yuhao Zhang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu
To our knowledge, we are the first to develop an end-to-end ST system that achieves comparable or even better BLEU performance than the cascaded ST counterpart when large-scale ASR and MT data is available.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 30 Apr 2021 • Canqun Xiang, Zhennan Wang, Wenbin Zou, Chen Xu
Parsing an image into a hierarchy of objects, parts, and relations is important and also challenging in many computer vision tasks.
no code implementations • 22 Mar 2021 • Jian Wang, Chen Xu, Rong Li, Yiqun Ge, Jun Wang
We not only verify the performance gain achieved, but also provide implementation-friend designs, i. e., a scalable neural network design for the agent and a virtual environment training framework.
no code implementations • 25 Feb 2021 • Jason Stafford, Chen Xu
This study investigates particle transport behaviour arising from axial fans operating under varied aerodynamic conditions.
Fluid Dynamics Atmospheric and Oceanic Physics
no code implementations • 31 Jan 2021 • Chen Xu, Ye Zhang
The means to obtain the adsorption isotherms is a fundamental open problem in competitive chromatography.
no code implementations • 27 Jan 2021 • Minghe Zhang, Chen Xu, Andy Sun, Feng Qiu, Yao Xie
Modeling and predicting solar events, particularly the solar ramping event, is critical for improving situational awareness for solar power generation systems.
no code implementations • 6 Jan 2021 • Jiawei Ren, Xiao Ma, Chen Xu, Haiyu Zhao, Shuai Yi
Person Re-Identification (Re-ID) is of great importance to the many video surveillance systems.
no code implementations • 1 Jan 2021 • Haokun Chen, Zhaoyang Liu, Chen Xu, Ziqian Chen, Jinyang Gao, Bolin Ding
In this paper, we propose a novel recommendation framework which effectively utilizes the information of user uncertainty over different item dimensions and explicitly takes into consideration the impact of display policy on user in order to achieve maximal expected posterior utility for the platform.
no code implementations • NeurIPS 2020 • Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen
For high-dimensional observations in real environment, e. g., Coronal Mass Ejections (CMEs) data, the learning performance of previous methods may be degraded seriously due to the complex non-Gaussian noise and the insufficiency of prior knowledge on variable structure.
no code implementations • COLING 2020 • Chen Xu, Bojie Hu, Yufan Jiang, Kai Feng, Zeyang Wang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu
This eases training by highlighting easy samples that the current model has enough competence to learn.
2 code implementations • 18 Oct 2020 • Chen Xu, Yao Xie
We develop a method to construct distribution-free prediction intervals for dynamic time-series, called \Verb|EnbPI| that wraps around any bootstrap ensemble estimator to construct sequential prediction intervals.
1 code implementation • EMNLP 2020 • Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen
Four popular text matching methods have been exploited in the paper.
1 code implementation • NeurIPS 2020 • Zhennan Wang, Canqun Xiang, Wenbin Zou, Chen Xu
Extensive experiments demonstrate that MMA regularization is able to enhance the generalization ability of various modern models and achieves considerable performance improvements on CIFAR100 and TinyImageNet datasets.
no code implementations • 3 Dec 2019 • Canqun Xiang, Shishun Tian, Wenbin Zou, Chen Xu
In this paper, we propose a simple yet efficientinstance segmentation approach based on the single-stage anchor-free detector, termed SAIS.
no code implementations • 13 Nov 2019 • Chen Xu, Jian Wang, Tianhang Yu, Chuili Kong, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang
In this paper, the downlink packet scheduling problem for cellular networks is modeled, which jointly optimizes throughput, fairness and packet drop rate.
1 code implementation • IEEE International Conference on Network Protocols (ICNP) 2019 • Ruipeng Zhang, Chen Xu, Mengjun Xie
In this work, we present a cloud-based platform named EZSetup for hands-on cybersecurity practice at scale and our experience of using it in class.
no code implementations • WS 2019 • Bei Li, Yinqiao Li, Chen Xu, Ye Lin, Jiqiang Liu, Hui Liu, Ziyang Wang, Yuhao Zhang, Nuo Xu, Zeyang Wang, Kai Feng, Hexuan Chen, Tengbo Liu, Yanyang Li, Qiang Wang, Tong Xiao, Jingbo Zhu
We participated in 13 translation directions, including 11 supervised tasks, namely EN↔{ZH, DE, RU, KK, LT}, GU→EN and the unsupervised DE↔CS sub-track.
no code implementations • 22 Jul 2019 • Yourui Huangfu, Jian Wang, Chen Xu, Rong Li, Yiqun Ge, Xianbin Wang, Huazi Zhang, Jun Wang
In this paper, we propose a neural-network-based realistic channel model with both the similar accuracy as deterministic channel models and uniformity as stochastic channel models.
no code implementations • 11 Jul 2019 • Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou
To guarantee the consistency of off-line training and on-line serving, we usually utilize the same features that are both available.
no code implementations • 15 May 2019 • Jian Wang, Chen Xu, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang
Integrating artificial intelligence (AI) into wireless networks has drawn significant interest in both industry and academia.
no code implementations • ICLR 2019 • Chen Xu, Chengzhen Fu, Peng Jiang, Wenwu Ou
In most current DNN based models, feature embeddings are simply concatenated for further processing by networks.
1 code implementation • ICCV 2019 • Zhennan Wang, Wenbin Zou, Chen Xu
In this paper, we analyze the inner product of weight vector w and data vector x in neural networks from the perspective of vector orthogonal decomposition and prove that the direction gradient of w decreases with the angle between them close to 0 or {\pi}.
no code implementations • 14 Jan 2019 • Yourui Huangfu, Jian Wang, Rong Li, Chen Xu, Xianbin Wang, Huazi Zhang, Jun Wang
Accurate prediction of fading channel in future is essential to realize adaptive transmission and other methods that can save power and provide gains.
no code implementations • ICLR 2018 • Chen Xu, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong Wang, Hongbin Zha
Recurrent neural networks have achieved excellent performance in many applications.
no code implementations • 25 Nov 2016 • Chen Xu, Zhouchen Lin, Hongbin Zha
In this paper, we show that for any $p$, $p_1$, and $p_2 >0$ satisfying $1/p=1/p_1+1/p_2$, there is an equivalence between the Schatten-$p$ norm of one matrix and the Schatten-$p_1$ and the Schatten-$p_2$ norms of its two factor matrices.
no code implementations • 25 Nov 2015 • Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha
We propose a new majorization-minimization (MM) method for non-smooth and non-convex programs, which is general enough to include the existing MM methods.
no code implementations • 5 May 2015 • Chen Xu, Yongquan Zhang, Runze Li
Under mild conditions, we show that, with a proper number of segments, DKR leads to an estimator that is generalization consistent to the unknown regression function.
no code implementations • 25 Jul 2013 • Shaobo Lin, Chen Xu, Jingshan Zeng, Jian Fang
To facilitate the use of $l^{q}$-regularization, we intend to seek for a modeling strategy where an elaborative selection on $q$ is avoidable.