no code implementations • 21 Feb 2017 • Yang Gao, Hao Wang, Chen Zhang, Wei Wang
Argument component detection (ACD) is an important sub-task in argumentation mining.
no code implementations • 15 May 2017 • Chen Zhang, Hao Wang, Yingcai Wu
Then, a set of visualizations are devised to represent the semantic information in multiple perspectives.
no code implementations • 18 Sep 2017 • Simon Arridge, Kazufumi Ito, Bangti Jin, Chen Zhang
In this work, we analyze a variational Gaussian approximation to the posterior distribution arising from the Poisson model with a Gaussian prior.
no code implementations • 11 Apr 2018 • Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi
Multivariate functional data from a complex system are naturally high-dimensional and have complex cross-correlation structure.
no code implementations • 27 Sep 2018 • Nicholas Roberts, Poornav S. Purushothama, Vishal T. Vasudevan, Siddarth Ravichandran, Chen Zhang, William H. Gerwick, Garrison W. Cottrell
Computing a similarity score between 2D NMR spectra for a novel compound and a compound whose structure is known helps determine the structure of the novel compound.
no code implementations • JOURNAL OF QUALITY TECHNOLOGY 2018 • Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi
However, there are several challenges in developing an effective process monitoring system: (i) data streams generated by multiple sensors are high-dimensional profiles; (ii) sensor signals are affected by noise due to system-inherent variations; (iii) signals of different sensors have cluster-wise features; and (iv) an anomaly may cause only sparse changes of sensor signals.
no code implementations • 1 Nov 2018 • Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie
However, it requires the customization of hardwares to speed up practical inference.
no code implementations • CVPR 2019 • Chen Zhang, Joohee Kim
Context information and high-resolution features are the keys to achieve a good performance in multi-scale object detection.
1 code implementation • 1 Aug 2019 • Chen Zhang, Bangti Jin
Aleatoric uncertainty is an intrinsic property of ill-posed inverse and imaging problems.
2 code implementations • IJCNLP 2019 • Chen Zhang, Qiuchi Li, Dawei Song
Due to their inherent capability in semantic alignment of aspects and their context words, attention mechanism and Convolutional Neural Networks (CNNs) are widely applied for aspect-based sentiment classification.
1 code implementation • 23 Sep 2019 • Chen Zhang, Qiuchi Li, Dawei Song
It has been widely accepted that Long Short-Term Memory (LSTM) network, coupled with attention mechanism and memory module, is useful for aspect-level sentiment classification.
1 code implementation • 11 Dec 2019 • Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung
Low-rank tensor decomposition and completion have attracted significant interest from academia given the ubiquity of tensor data.
1 code implementation • 6 Jan 2020 • Yuge Zhang, Zejun Lin, Junyang Jiang, Quanlu Zhang, Yujing Wang, Hui Xue, Chen Zhang, Yaming Yang
With the success of deep neural networks, Neural Architecture Search (NAS) as a way of automatic model design has attracted wide attention.
2 code implementations • 25 Feb 2020 • Haolin Song, Chen Zhang, Qiuchi Li, Dawei Song
Specifically, our model regards pair extraction as a link prediction task, and learns to link from emotion clauses to cause clauses, i. e., the links are directional.
Ranked #12 on Emotion-Cause Pair Extraction on ECPE
no code implementations • 18 Mar 2020 • Chen Zhang, Xiaobo Lu, Zhiliang Huang
Researches show that fatigue driving is one of the important causes of road traffic accidents, so it is of great significance to study the driver fatigue recognition algorithm to improve road traffic safety.
no code implementations • COLING 2020 • Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Yaming Yang, Quanlu Zhang, Yunhai Tong, Jing Bai
BERT is a cutting-edge language representation model pre-trained by a large corpus, which achieves superior performances on various natural language understanding tasks.
no code implementations • 23 Apr 2020 • Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung
Spatiotemporal data is very common in many applications, such as manufacturing systems and transportation systems.
1 code implementation • EMNLP 2020 • Peixiang Zhong, Chen Zhang, Hao Wang, Yong liu, Chunyan Miao
To this end, we propose a new task towards persona-based empathetic conversations and present the first empirical study on the impact of persona on empathetic responding.
no code implementations • 14 Jun 2020 • Chen Zhang, Xu Tan, Yi Ren, Tao Qin, Ke-jun Zhang, Tie-Yan Liu
Existing speech to speech translation systems heavily rely on the text of target language: they usually translate source language either to target text and then synthesize target speech from text, or directly to target speech with target text for auxiliary training.
no code implementations • 15 Jun 2020 • Yu Xie, Chunyi Li, Bin Yu, Chen Zhang, Zhouhua Tang
Real-world networks are composed of diverse interacting and evolving entities, while most of existing researches simply characterize them as particular static networks, without consideration of the evolution trend in dynamic networks.
Social and Information Networks Physics and Society
no code implementations • 17 Jun 2020 • Jing Ren, Chen Zhang
Quark matter with only $u$ and $d$ quarks ($ud$QM) might be the ground state of baryonic matter at large baryon number $A>A_{\rm min}$.
High Energy Physics - Phenomenology High Energy Astrophysical Phenomena General Relativity and Quantum Cosmology Nuclear Theory
no code implementations • ACL 2020 • Yi Ren, Jinglin Liu, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu
In this work, we develop SimulSpeech, an end-to-end simultaneous speech to text translation system which translates speech in source language to text in target language concurrently.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +7
no code implementations • 17 Jul 2020 • Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu
SAT contains a hyperparameter k, and each k value defines a SAT task with different degrees of parallelism.
no code implementations • 20 Jul 2020 • Riccardo Barbano, Chen Zhang, Simon Arridge, Bangti Jin
Recent advances in reconstruction methods for inverse problems leverage powerful data-driven models, e. g., deep neural networks.
no code implementations • 6 Aug 2020 • Jinglin Liu, Yi Ren, Zhou Zhao, Chen Zhang, Baoxing Huai, Nicholas Jing Yuan
NAR lipreading is a challenging task that has many difficulties: 1) the discrepancy of sequence lengths between source and target makes it difficult to estimate the length of the output sequence; 2) the conditionally independent behavior of NAR generation lacks the correlation across time which leads to a poor approximation of target distribution; 3) the feature representation ability of encoder can be weak due to lack of effective alignment mechanism; and 4) the removal of AR language model exacerbates the inherent ambiguity problem of lipreading.
no code implementations • 7 Sep 2020 • Xiancai Tian, Chen Zhang, Baihua Zheng
The metro system is playing an increasingly important role in the urban public transit network, transferring a massive human flow across space everyday in the city.
no code implementations • 22 Sep 2020 • Jie Guo, Hao Yan, Chen Zhang, Steven Hoi
We consider online change detection of high dimensional data streams with sparse changes, where only a subset of data streams can be observed at each sensing time point due to limited sensing capacities.
3 code implementations • Findings of the Association for Computational Linguistics 2020 • Chen Zhang, Qiuchi Li, Dawei Song, Benyou Wang
The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches are mainly based on either detecting aspect terms and their corresponding sentiment polarities, or co-extracting aspect and opinion terms.
Aspect-Based Sentiment Analysis Aspect Sentiment Triplet Extraction +2
no code implementations • 17 Nov 2020 • Riccardo Barbano, Željko Kereta, Chen Zhang, Andreas Hauptmann, Simon Arridge, Bangti Jin
Image reconstruction methods based on deep neural networks have shown outstanding performance, equalling or exceeding the state-of-the-art results of conventional approaches, but often do not provide uncertainty information about the reconstruction.
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 • 17 Dec 2020 • Chen Zhang, Yi Ren, Xu Tan, Jinglin Liu, Kejun Zhang, Tao Qin, Sheng Zhao, Tie-Yan Liu
In DenoiSpeech, we handle real-world noisy speech by modeling the fine-grained frame-level noise with a noise condition module, which is jointly trained with the TTS model.
no code implementations • 24 Dec 2020 • Shu-Yu Liu, Shuang-Xing Zhu, Qi-Yi Wu, Chen Zhang, Peng-Bo Song, You-Guo Shi, Hao liu, Zi-Teng Liu, Jiao-Jiao Song, Fan-Ying Wu, Yin-Zou Zhao, Xiao-Fang Tang, Ya-Hua Yuan, Han Huang, Jun He, H. Y. Liu, Yu-Xia Duan, Jian-Qiao Meng
Two distinct carrier and coherent phonons relaxation processes were identified in the 5 K - 300 K range.
Materials Science Superconductivity
no code implementations • 31 Dec 2020 • Chen Zhang, Farida Shagieva, Matthias Widmann, Michael Kuebler, Vadim Vorobyov, Polina Kapitanova, Junich Isoya, Joerg Wrachtrup
Nitrogen vacancy (NV) centers in diamond have developed into a powerful solid-state platform for compact quantum sensors.
Quantum Physics Applied Physics
no code implementations • 1 Jan 2021 • Mingtian Zhang, Yitong Sun, Steven McDonagh, Chen Zhang
Flow-based generative models typically define a latent space with dimensionality identical to the observational space.
no code implementations • 1 Jan 2021 • Chen Zhang, Yitong Sun, Mingtian Zhang
However, in this paper, we point out that the method taken by GIN for informative latent variables identification is not theoretically supported and can be disproved by experiments.
no code implementations • 8 Feb 2021 • Oleg Antipin, Jahmall Bersini, Francesco Sannino, Zhi-Wei Wang, Chen Zhang
We go beyond a systematic review of the semiclassical approaches for determining the scaling dimensions of fixed-charge operators in $U(1)$ and $O(N)$ models by introducing a general strategy apt at determining the relation between a given charge configuration and the associated operators for more involved symmetry groups such as the $U(N) \times U(M)$.
High Energy Physics - Theory Statistical Mechanics High Energy Physics - Lattice High Energy Physics - Phenomenology
4 code implementations • CVPR 2021 • Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li
We also propose a lossless compression algorithm based on iVPF.
no code implementations • 1 May 2021 • Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang
iii) The partition level information has not been utilized in existing work.
no code implementations • 1 May 2021 • Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan
Multi-view clustering is an important yet challenging task in machine learning and data mining community.
no code implementations • 18 May 2021 • Chen Zhang, Yinghao Xu, Yujun Shen
Generative Adversarial Networks (GANs) have made great success in synthesizing high-quality images.
no code implementations • 18 May 2021 • Tong Zhang, Yong liu, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao
The chit-chat-based conversational recommendation systems (CRS) provide item recommendations to users through natural language interactions.
no code implementations • 20 May 2021 • Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
We demonstrate the feasibility of our design with minimal changes to the existing production-scale inner-product-based Tensor Core.
no code implementations • 23 May 2021 • Yu Zhang, Chen Zhang, Xu Cai
Grid-synchronization stability (GSS) is an emerging stability issue of grid-tied voltage source converters (VSCs), which can be provoked by severe grid voltage sags.
1 code implementation • Findings (ACL) 2021 • Fang Ma, Chen Zhang, Dawei Song
Aspect sentiment classification (ASC) aims at determining sentiments expressed towards different aspects in a sentence.
no code implementations • 31 May 2021 • Hao Fang, Chen Gong, Chen Zhang, Yanan Sui, Luming Li
Speech disorders often occur at the early stage of Parkinson's disease (PD).
1 code implementation • Findings (ACL) 2021 • Yuxuan Lai, Chen Zhang, Yansong Feng, Quzhe Huang, Dongyan Zhao
A thorough empirical analysis shows that MRC models tend to learn shortcut questions earlier than challenging questions, and the high proportions of shortcut questions in training sets hinder models from exploring the sophisticated reasoning skills in the later stage of training.
1 code implementation • ACL 2021 • Chen Zhang, Yiming Chen, Luis Fernando D'Haro, Yan Zhang, Thomas Friedrichs, Grandee Lee, Haizhou Li
Effective evaluation metrics should reflect the dynamics of such interaction.
no code implementations • 19 Jun 2021 • Chen Zhang, Yinghao Xu, Yujun Shen
Convolutional Neural Networks (CNNs) have achieved remarkable success in various computer vision tasks but rely on tremendous computational cost.
1 code implementation • INTERSPEECH 2021 2021 • Xinlei Ren, Xu Zhang, LianWu Chen, Xiguang Zheng, Chen Zhang, Liang Guo, Bing Yu
In this work, a new causal U-net based multiple-in-multiple-out structure is proposed for real-time multi-channel speech enhancement.
1 code implementation • 4 Aug 2021 • Chen Zhang, Runmin Cong, Qinwei Lin, Lin Ma, Feng Li, Yao Zhao, Sam Kwong
For the cross-modality interaction in feature encoder, existing methods either indiscriminately treat RGB and depth modalities, or only habitually utilize depth cues as auxiliary information of the RGB branch.
no code implementations • 4 Sep 2021 • Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen
In this framework, the environment can be easily configured to realize all kinds of RL tasks in the mainstream research.
1 code implementation • Findings (EMNLP) 2021 • Chen Zhang, Yuxuan Lai, Yansong Feng, Dongyan Zhao
In this paper, we present a new verification style reading comprehension dataset named VGaokao from Chinese Language tests of Gaokao.
no code implementations • 16 Sep 2021 • Chen Zhang, Jiaxing Yu, LuChin Chang, Xu Tan, Jiawei Chen, Tao Qin, Kejun Zhang
Considering that there is a large amount of ASR training data, a straightforward method is to leverage ASR data to enhance ALT training.
Automatic Lyrics Transcription Automatic Speech Recognition +3
1 code implementation • 20 Sep 2021 • Zeqian Ju, Peiling Lu, Xu Tan, Rui Wang, Chen Zhang, Songruoyao Wu, Kejun Zhang, Xiangyang Li, Tao Qin, Tie-Yan Liu
In this paper, we develop TeleMelody, a two-stage lyric-to-melody generation system with music template (e. g., tonality, chord progression, rhythm pattern, and cadence) to bridge the gap between lyrics and melodies (i. e., the system consists of a lyric-to-template module and a template-to-melody module).
no code implementations • 20 Sep 2021 • Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang
In this paper, we characterize the noise of stochastic gradients and analyze the noise-induced dynamics during training deep neural networks by gradient-based optimizers.
no code implementations • 29 Sep 2021 • Mingtian Zhang, Yitong Sun, Chen Zhang, Steven McDonagh
Flow-based models typically define a latent space with dimensionality identical to the observational space.
no code implementations • 1 Oct 2021 • Ying Siu Liang, Chen Zhang, Dongkyu Choi, Kenneth Kwok
Finally, we evaluate the usability of our approach in real-world applications by conducting qualitative experiments with two Universal Robots (UR5 and UR16e) in both lab and industrial settings.
1 code implementation • EMNLP 2021 • Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng, Haizhou Li
In this work, we revisit the self-training technique for language model fine-tuning and present a state-of-the-art prompt-based few-shot learner, SFLM.
no code implementations • 5 Oct 2021 • Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Thomas Friedrichs, Haizhou Li
Yet, the impact of different Pr-LMs on the performance of automatic metrics is not well-understood.
no code implementations • 22 Oct 2021 • Chen Zhang, Riccardo Barbano, Bangti Jin
Learned image reconstruction techniques using deep neural networks have recently gained popularity, and have delivered promising empirical results.
no code implementations • 25 Oct 2021 • Yu Zhang, Chen Zhang, Renxin Yang, Jing Lyu, Li Liu, Xu Cai
The MMC-HVDC connected offshore wind farms (OWFs) could suffer short circuit fault (SCF), whereas their transient stability is not well analysed.
no code implementations • NeurIPS 2021 • Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li
To eliminate the requirement of saving separate models for different target datasets, we propose a novel setting that starts from a pretrained deep generative model and compresses the data batches while adapting the model with a dynamical system for only one epoch.
2 code implementations • 3 Nov 2021 • Chen Zhang, João Sedoc, Luis Fernando D'Haro, Rafael Banchs, Alexander Rudnicky
The development of Open-Domain Dialogue Systems (ODS)is a trending topic due to the large number of research challenges, large societal and business impact, and advances in the underlying technology.
no code implementations • 3 Dec 2021 • Chen Zhang, Jon Are Suul, Marta Molinas
In these studies, acquisition of the VSC's PSS conditions is a necessary precondition for proper linearization and stability analysis, and the efficiency of this process is particularly important for parametric studies.
no code implementations • 5 Dec 2021 • Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu
Human brains are known to be capable of speeding up visual recognition of repeatedly presented objects through faster memory encoding and accessing procedures on activated neurons.
1 code implementation • 14 Dec 2021 • Chen Zhang, Luis Fernando D'Haro, Thomas Friedrichs, Haizhou Li
Chatbots are designed to carry out human-like conversations across different domains, such as general chit-chat, knowledge exchange, and persona-grounded conversations.
Ranked #1 on Dialogue Evaluation on USR-TopicalChat
no code implementations • 26 Jan 2022 • Xu Zhang, LianWu Chen, Xiguang Zheng, Xinlei Ren, Chen Zhang, Liang Guo, Bing Yu
Speech enhancement methods based on deep learning have surpassed traditional methods.
1 code implementation • ICLR 2022 • Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
This paper proposes an on-the-fly DFQ framework with sub-second quantization time, called SQuant, which can quantize networks on inference-only devices with low computation and memory requirements.
1 code implementation • 21 Feb 2022 • Hang Zhao, Chen Zhang, Belei Zhu, Zejun Ma, Kejun Zhang
To our knowledge, S3T is the first method combining the Swin Transformer with a self-supervised learning method for music classification.
1 code implementation • 21 Feb 2022 • Eric Guizzo, Christian Marinoni, Marco Pennese, Xinlei Ren, Xiguang Zheng, Chen Zhang, Bruno Masiero, Aurelio Uncini, Danilo Comminiello
The L3DAS22 Challenge is aimed at encouraging the development of machine learning strategies for 3D speech enhancement and 3D sound localization and detection in office-like environments.
no code implementations • 18 Mar 2022 • Shikib Mehri, Jinho Choi, Luis Fernando D'Haro, Jan Deriu, Maxine Eskenazi, Milica Gasic, Kallirroi Georgila, Dilek Hakkani-Tur, Zekang Li, Verena Rieser, Samira Shaikh, David Traum, Yi-Ting Yeh, Zhou Yu, Yizhe Zhang, Chen Zhang
This is a report on the NSF Future Directions Workshop on Automatic Evaluation of Dialog.
no code implementations • Findings (ACL) 2022 • Fenfei Guo, Chen Zhang, Zhirui Zhang, Qixin He, Kejun Zhang, Jun Xie, Jordan Boyd-Graber
This paper develops automatic song translation (AST) for tonal languages and addresses the unique challenge of aligning words' tones with melody of a song in addition to conveying the original meaning.
no code implementations • CVPR 2022 • Tom Ryder, Chen Zhang, Ning Kang, Shifeng Zhang
Secondly, we define our coding framework, the autoregressive initial bits, that flexibly supports parallel coding and avoids -- for the first time -- many of the practicalities commonly associated with bits-back coding.
no code implementations • 27 Apr 2022 • Bo Zhang, Chen Zhang, Fang Ma, Dawei Song
Neural text matching models have been used in a range of applications such as question answering and natural language inference, and have yielded a good performance.
3 code implementations • 9 May 2022 • Xu Tan, Jiawei Chen, Haohe Liu, Jian Cong, Chen Zhang, Yanqing Liu, Xi Wang, Yichong Leng, YuanHao Yi, Lei He, Frank Soong, Tao Qin, Sheng Zhao, Tie-Yan Liu
In this paper, we answer these questions by first defining the human-level quality based on the statistical significance of subjective measure and introducing appropriate guidelines to judge it, and then developing a TTS system called NaturalSpeech that achieves human-level quality on a benchmark dataset.
Ranked #1 on Text-To-Speech Synthesis on LJSpeech (using extra training data)
1 code implementation • 11 May 2022 • Chen Zhang, Lei Ren, Jingang Wang, Wei Wu, Dawei Song
Prompt-tuning has shown appealing performance in few-shot classification by virtue of its capability in effectively exploiting pre-trained knowledge.
1 code implementation • 29 May 2022 • Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song
In particular, motivated by the finding that the performance of the student is positively correlated to the scale-performance tradeoff of the teacher assistant, MiniDisc is designed with a $\lambda$-tradeoff to measure the optimality of the teacher assistant without trial distillation to the student.
no code implementations • 16 Jun 2022 • Chen Zhang, Honglin Sun, Chen Chen, Yandong Guo
We propose a motion forecasting model called BANet, which means Boundary-Aware Network, and it is a variant of LaneGCN.
no code implementations • 11 Jul 2022 • Wuhang Lin, Shasha Li, Chen Zhang, Bin Ji, Jie Yu, Jun Ma, Zibo Yi
However, the existing evaluation metrics for summary text are only rough proxies for summary quality, suffering from low correlation with human scoring and inhibition of summary diversity.
1 code implementation • 17 Jul 2022 • Fang Ma, Chen Zhang, Bo Zhang, Dawei Song
Extensive experimental results on standard and adversarial benchmarks for SC and OE demonstrate the effectiveness and robustness of the proposed method, yielding new state-of-the-art performance on OE and competitive performance on SC.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
1 code implementation • 20 Jul 2022 • Yi Yang, Chen Zhang, Benyou Wang, Dawei Song
To uncover the domain-general LM, we propose to identify domain-general parameters by playing lottery tickets (dubbed doge tickets).
2 code implementations • 2 Aug 2022 • Heng Yang, Chen Zhang, Ke Li
The advancement of aspect-based sentiment analysis (ABSA) has urged the lack of a user-friendly framework that can largely lower the difficulty of reproducing state-of-the-art ABSA performance, especially for beginners.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +5
1 code implementation • 30 Aug 2022 • Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
In this work, we propose a fixed-length adaptive numerical data type called ANT to achieve low-bit quantization with tiny hardware overheads.
1 code implementation • COLING 2022 • Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu, Dawei Song
Thus, a natural question arises: Is structural bias still a necessity in the context of PLMs?
no code implementations • 2 Sep 2022 • LianWu Chen, Xiguang Zheng, Chen Zhang, Liang Guo, Bing Yu
In recent years, deep neural networks (DNNs) based approaches have achieved the start-of-the-art performance for music source separation (MSS).
3 code implementations • 7 Sep 2022 • Runmin Cong, Qi Qin, Chen Zhang, Qiuping Jiang, Shiqi Wang, Yao Zhao, Sam Kwong
In this paper, we focus on a new weakly-supervised SOD task under hybrid labels, where the supervision labels include a large number of coarse labels generated by the traditional unsupervised method and a small number of real labels.
Ranked #7 on RGB Salient Object Detection on PASCAL-S
no code implementations • 7 Sep 2022 • Haowei Du, Quzhe Huang, Chen Zhang, Dongyan Zhao
Multi-hop Knowledge Base Question Answering(KBQA) aims to find the answer entity in a knowledge base which is several hops from the topic entity mentioned in the question.
no code implementations • 13 Sep 2022 • ZiHao Wang, Qihao Liang, Kejun Zhang, Yuxing Wang, Chen Zhang, Pengfei Yu, Yongsheng Feng, Wenbo Liu, Yikai Wang, Yuntai Bao, Yiheng Yang
In this paper, we propose SongDriver, a real-time music accompaniment generation system without logical latency nor exposure bias.
no code implementations • 22 Sep 2022 • Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
An activation function is an element-wise mathematical function and plays a crucial role in deep neural networks (DNN).
no code implementations • 24 Sep 2022 • Chen Zhang
My findings not only justify the value of deep learning in blooming fintech development, but also highlight their prospects and advantages over traditional machine learning methods.
1 code implementation • 24 Sep 2022 • Bin Wang, Chen Zhang, Chengwei Wei, Haizhou Li
Output length is critical to dialogue summarization systems.
7 code implementations • 5 Oct 2022 • Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc Cuong Pham, Ralph Ewerth, Ran Song, RenGang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El-Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, YaQian Zhao, Yi Yu, YingYing Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
3 code implementations • 6 Oct 2022 • Runmin Cong, Qinwei Lin, Chen Zhang, Chongyi Li, Xiaochun Cao, Qingming Huang, Yao Zhao
Focusing on the issue of how to effectively capture and utilize cross-modality information in RGB-D salient object detection (SOD) task, we present a convolutional neural network (CNN) model, named CIR-Net, based on the novel cross-modality interaction and refinement.
1 code implementation • 8 Oct 2022 • Yi Yang, Chen Zhang, Dawei Song
Recent advances in distilling pretrained language models have discovered that, besides the expressiveness of knowledge, the student-friendliness should be taken into consideration to realize a truly knowledgable teacher.
2 code implementations • 9 Oct 2022 • Runmin Cong, Kepu Zhang, Chen Zhang, Feng Zheng, Yao Zhao, Qingming Huang, Sam Kwong
In addition, considering the role of thermal modality, we set up different cross-modality interaction mechanisms in the encoding phase and the decoding phase.
no code implementations • 10 Oct 2022 • Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song
Prompt tuning learns soft prompts to condition frozen Pre-trained Language Models (PLMs) for performing downstream tasks in a parameter-efficient manner.
1 code implementation • 21 Oct 2022 • Bin Wang, Chen Zhang, Yan Zhang, Yiming Chen, Haizhou Li
The factual correctness of summaries has the highest priority before practical applications.
2 code implementations • 25 Oct 2022 • Chen Zhang, Luis Fernando D'Haro, Qiquan Zhang, Thomas Friedrichs, Haizhou Li
Recent model-based reference-free metrics for open-domain dialogue evaluation exhibit promising correlations with human judgment.
1 code implementation • 23 Nov 2022 • Chaoran Cui, Yumo Yao, Chunyun Zhang, Hebo Ma, Yuling Ma, Zhaochun Ren, Chen Zhang, James Ko
Knowledge tracing aims to trace students' evolving knowledge states by predicting their future performance on concept-related exercises.
1 code implementation • 30 Nov 2022 • Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian
In this paper, we propose a machine translation system tailored for the task of video dubbing, which directly considers the speech duration of each token in translation, to match the length of source and target speech.
no code implementations • CVPR 2023 • Chen Zhang, Guorong Li, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, Ming-Hsuan Yang
Weakly supervised video anomaly detection aims to identify abnormal events in videos using only video-level labels.
no code implementations • 13 Dec 2022 • Chen Zhang, Xiaofeng Cao, Yi Chang, Ivor W Tsang
Then, relying on the surjective mapping from the teaching set to the parameter, we develop a design strategy of the optimal teaching set under appropriate settings, of which two popular efficiency metrics, teaching dimension and iterative teaching dimension are one.
no code implementations • 18 Dec 2022 • Chen Zhang, Luis Fernando D'Haro, Qiquan Zhang, Thomas Friedrichs, Haizhou Li
To tackle the multi-domain dialogue evaluation task, we propose a Panel of Experts (PoE), a multitask network that consists of a shared transformer encoder and a collection of lightweight adapters.
no code implementations • ICCV 2023 • Chen Zhang, Ganzhangqin Yuan, Wenbing Tao
We model the Delaunay triangulation as a dual graph, extract local geometric information from the points, and embed it into the structural representation of Delaunay triangulation in an organic way, benefiting fine-grained details reconstruction.
1 code implementation • 26 Feb 2023 • Chen Zhang, Yuxuan Lai, Yansong Feng, Xingyu Shen, Haowei Du, Dongyan Zhao
We convert KB subgraphs into passages to narrow the gap between KB schemas and questions, which enables our model to benefit from recent advances in multilingual pre-trained language models (MPLMs) and cross-lingual machine reading comprehension (xMRC).
Cross-Lingual Question Answering Machine Reading Comprehension
no code implementations • 19 Mar 2023 • Chen Zhang, Junhui Gao, Lingxin Kong, Guangshuo cao, Xiangyu Guo, Wei Liu
Spatial transcriptomic (ST) clustering employs spatial and transcription information to group spots spatially coherent and transcriptionally similar together into the same spatial domain.
1 code implementation • 22 Mar 2023 • Qianxiong Xu, Cheng Long, Liang Yu, Chen Zhang
In this paper, we propose to conduct road extraction based on satellite images and partial road maps, which is new.
1 code implementation • 23 Mar 2023 • Juhao Liang, Chen Zhang, Zhengyang Tang, Jie Fu, Dawei Song, Benyou Wang
Built upon the paradigm, we propose a retrieval model with modular prompt tuning named REMOP.
1 code implementation • 20 Apr 2023 • Zhihong Chen, Feng Jiang, Junying Chen, Tiannan Wang, Fei Yu, Guiming Chen, Hongbo Zhang, Juhao Liang, Chen Zhang, Zhiyi Zhang, Jianquan Li, Xiang Wan, Benyou Wang, Haizhou Li
This paper presents our efforts to democratize ChatGPT across language.
1 code implementation • 14 May 2023 • ZiHao Wang, Le Ma, Chen Zhang, Bo Han, Yunfei Xu, Yikai Wang, Xinyi Chen, HaoRong Hong, Wenbo Liu, Xinda Wu, Kejun Zhang
Music as an emotional intervention medium has important applications in scenarios such as music therapy, games, and movies.
1 code implementation • 20 May 2023 • Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song
However, when the capacity gap between the teacher and the student is large, a curse of capacity gap appears, invoking a deficiency in distilling LMs.
no code implementations • 20 May 2023 • Weizhi Nie, Chen Zhang, Dan Song, Lina Zhao, Yunpeng Bai, Keliang Xie, AnAn Liu
The chest X-ray (CXR) is one of the most common and easy-to-get medical tests used to diagnose common diseases of the chest.
no code implementations • 20 May 2023 • Weizhi Nie, Chen Zhang, Dan Song, Yunpeng Bai, Keliang Xie, AnAn Liu
The chest X-ray (CXR) is commonly employed to diagnose thoracic illnesses, but the challenge of achieving accurate automatic diagnosis through this method persists due to the complex relationship between pathology.
no code implementations • 20 May 2023 • Yi Zhong, Chen Zhang, Xule Liu, Chenxi Sun, Weishan Deng, Haifeng Hu, Zhongqian Sun
EE-TTS contains an emphasis predictor that can identify appropriate emphasis positions from text and a conditioned acoustic model to synthesize expressive speech with emphasis and linguistic information.
no code implementations • 21 May 2023 • Chen Zhang, Yang Yang, Jingang Wang, Dawei Song
Finetuning pretrained language models (LMs) have enabled appealing performance on a diverse array of tasks.
no code implementations • 23 May 2023 • Danqing Luo, Chen Zhang, Jiahui Xu, Bin Wang, Yiming Chen, Yan Zhang, Haizhou Li
To achieve this, we treat the black-box model as a feature extractor and train a classifier with the augmented text data.
1 code implementation • 24 May 2023 • Quzhe Huang, Mingxu Tao, Chen Zhang, Zhenwei An, Cong Jiang, Zhibin Chen, Zirui Wu, Yansong Feng
Specifically, we inject domain knowledge during the continual training stage and teach the model to learn professional skills using properly designed supervised fine-tuning tasks.
no code implementations • 29 May 2023 • Jiawei Huang, Yi Ren, Rongjie Huang, Dongchao Yang, Zhenhui Ye, Chen Zhang, Jinglin Liu, Xiang Yin, Zejun Ma, Zhou Zhao
Finally, we use LLMs to augment and transform a large amount of audio-label data into audio-text datasets to alleviate the problem of scarcity of temporal data.
Ranked #7 on Audio Generation on AudioCaps
1 code implementation • 30 May 2023 • Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, Dongyan Zhao
Causal reasoning, the ability to identify cause-and-effect relationship, is crucial in human thinking.
1 code implementation • 1 Jun 2023 • Chen Zhang, Jiuheng Lin, Xiao Liu, Yuxuan Lai, Yansong Feng, Dongyan Zhao
We further analyze how well different paradigms of current multi-answer MRC models deal with different types of multi-answer instances.
1 code implementation • 2 Jun 2023 • Weizhi Nie, Chen Zhang, Dan Song, Lina Zhao, Yunpeng Bai, Keliang Xie, AnAn Liu
The chest X-ray is often utilized for diagnosing common thoracic diseases.
no code implementations • 3 Jun 2023 • Weizhi Nie, Yuhe Yu, Chen Zhang, Dan Song, Lina Zhao, Yunpeng Bai
Our method can also find key clinical indicators of important outcomes that can be used to improve treatment options.
1 code implementation • 5 Jun 2023 • Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok
In this paper, we consider the problem of Iterative Machine Teaching (IMT), where the teacher provides examples to the learner iteratively such that the learner can achieve fast convergence to a target model.
1 code implementation • 5 Jun 2023 • Tian Lan, Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang
This encourages the multi-task design: with each DAG as a task, the MM-DAG tries to learn the multiple DAGs jointly so that their consensus and consistency are maximized.
no code implementations • 6 Jun 2023 • Ziyue Jiang, Yi Ren, Zhenhui Ye, Jinglin Liu, Chen Zhang, Qian Yang, Shengpeng Ji, Rongjie Huang, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao
3) We further use a VQGAN-based acoustic model to generate the spectrogram and a latent code language model to fit the distribution of prosody, since prosody changes quickly over time in a sentence, and language models can capture both local and long-range dependencies.
no code implementations • 6 Jun 2023 • Zhenhui Ye, Ziyue Jiang, Yi Ren, Jinglin Liu, Chen Zhang, Xiang Yin, Zejun Ma, Zhou Zhao
We are interested in a novel task, namely low-resource text-to-talking avatar.
1 code implementation • 12 Jun 2023 • Junpeng Lin, Ziyue Li, Zhishuai Li, Lei Bai, Rui Zhao, Chen Zhang
In this work, we propose a novel approach for traffic prediction that embeds time-varying dynamic Bayesian network to capture the fine spatiotemporal topology of traffic data.
Ranked #12 on Traffic Prediction on METR-LA
1 code implementation • 22 Jun 2023 • Mario Rodríguez-Cantelar, Chen Zhang, Chengguang Tang, Ke Shi, Sarik Ghazarian, João Sedoc, Luis Fernando D'Haro, Alexander Rudnicky
The advent and fast development of neural networks have revolutionized the research on dialogue systems and subsequently have triggered various challenges regarding their automatic evaluation.
no code implementations • 23 Jun 2023 • Ziyue Li, Hao Yan, Chen Zhang, Andi Wang, Wolfgang Ketter, Lijun Sun, Fugee Tsung
In this paper, we propose a novel Tensor Dirichlet Process Multinomial Mixture model (Tensor-DPMM), which is designed to preserve the multi-mode and hierarchical structure of the multi-dimensional trip information via tensor, and cluster them in a unified one-step manner.
no code implementations • 11 Jul 2023 • Zixuan Ma, Haojie Wang, Jingze Xing, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Shizhi Tang, Penghan Wang, Jidong Zhai
To accelerate DNN computation, tensor compilers are proposed to generate efficient code on different domain-specific accelerators.
no code implementations • 14 Jul 2023 • Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Zhenhui Ye, Shengpeng Ji, Qian Yang, Chen Zhang, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao
However, the prompting mechanisms of zero-shot TTS still face challenges in the following aspects: 1) previous works of zero-shot TTS are typically trained with single-sentence prompts, which significantly restricts their performance when the data is relatively sufficient during the inference stage.
no code implementations • 30 Jul 2023 • Chen Zhang
Our approach incorporates a numerical tag during the fine-tuning phase of the LLM's training, representing the degree of faithfulness to the reference knowledge in the generated responses.
1 code implementation • 15 Aug 2023 • Chaoran Cui, Hebo Ma, Chen Zhang, Chunyun Zhang, Yumo Yao, Meng Chen, Yuling Ma
Existing models tend to memorize the answer bias as a shortcut for achieving high prediction performance in KT, thereby failing to fully understand students' knowledge states.
2 code implementations • 17 Aug 2023 • Runmin Cong, Hongyu Liu, Chen Zhang, Wei zhang, Feng Zheng, Ran Song, Sam Kwong
By integrating complementary information from RGB image and depth map, the ability of salient object detection (SOD) for complex and challenging scenes can be improved.
no code implementations • 29 Aug 2023 • Longbin Ji, Pengfei Wei, Yi Ren, Jinglin Liu, Chen Zhang, Xiang Yin
Co-speech gesture generation is crucial for automatic digital avatar animation.
no code implementations • 12 Sep 2023 • Chen Zhang, Clémence Bos, Stefan Sandfeld, Ruth Schwaiger
In this study, Cu-Cr composites were studied by nanoindentation.
no code implementations • 12 Oct 2023 • Chen Zhang, Wanjuan Su, Qingshan Xu, Wenbing Tao
Recently, learning multi-view neural surface reconstruction with the supervision of point clouds or depth maps has been a promising way.
1 code implementation • 13 Oct 2023 • Chen Zhang, Luis Fernando D'Haro, Chengguang Tang, Ke Shi, Guohua Tang, Haizhou Li
The English dialogue data are extended to nine other languages with commercial machine translation systems.
no code implementations • 31 Oct 2023 • Ziyue Li, Hao Yan, Chen Zhang, Lijun Sun, Wolfgang Ketter, Fugee Tsung
In this paper, we propose a novel tensor Dirichlet Process Multinomial Mixture model with graphs, which can preserve the hierarchical structure of the multi-dimensional trip information and cluster them in a unified one-step manner with the ability to determine the number of clusters automatically.
no code implementations • 7 Nov 2023 • Ruize An, Chen Zhang, Dawei Song
Recently, SimCSE has shown the feasibility of contrastive learning in training sentence embeddings and illustrates its expressiveness in spanning an aligned and uniform embedding space.
no code implementations • 13 Nov 2023 • Chen Zhang, Benyou Wang, Dawei Song
To this end, we propose an elastic language model (ElasticLM) that elastically adjusts the tradeoff according to the request stream.
1 code implementation • 13 Nov 2023 • Chen Zhang, Dawei Song, Zheyu Ye, Yan Gao
The pain is mainly resulted by the curse of capacity gap, which describes that a larger teacher LM cannot always lead to a better student LM than one distilled from a smaller teacher LM due to the affect of capacity gap increment.
1 code implementation • 14 Nov 2023 • Chen Zhang, Mingxu Tao, Quzhe Huang, Jiuheng Lin, Zhibin Chen, Yansong Feng
However, existing LLMs exhibit limited abilities in understanding low-resource languages, including the minority languages in China, due to a lack of training data.
no code implementations • 16 Nov 2023 • Chen Zhang
AI agents excel in executing predefined tasks, but the dynamic management of work state information during task execution remains an underexplored area.
1 code implementation • 4 Dec 2023 • Chen Zhang, Guorong Li, Yuankai Qi, Hanhua Ye, Laiyun Qing, Ming-Hsuan Yang, Qingming Huang
To address these limitations, we propose a Dynamic Erasing Network (DE-Net) for weakly supervised video anomaly detection, which learns multi-scale temporal features.
no code implementations • 18 Dec 2023 • Jianyao Xu, Qingshan Xu, Xinyao Liao, Wanjuan Su, Chen Zhang, Yew-Soon Ong, Wenbing Tao
In this work, we propose a prior-based residual learning paradigm for fast multi-view neural surface reconstruction.
1 code implementation • 19 Dec 2023 • Haowei Du, Quzhe Huang, Chen Li, Chen Zhang, Yang Li, Dongyan Zhao
To address this issue, we construct a \textbf{dual relation graph} where each node denotes a relation in the original KG (\textbf{primal entity graph}) and edges are constructed between relations sharing same head or tail entities.
1 code implementation • 24 Dec 2023 • Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li
Yet, existing works on utilizing LLMs for automatic dialogue evaluation are limited in their scope in terms of the number of meta-evaluation datasets, mode of evaluation, coverage of LLMs, etc.
no code implementations • 16 Jan 2024 • Zhenhui Ye, Tianyun Zhong, Yi Ren, Jiaqi Yang, Weichuang Li, Jiawei Huang, Ziyue Jiang, Jinzheng He, Rongjie Huang, Jinglin Liu, Chen Zhang, Xiang Yin, Zejun Ma, Zhou Zhao
One-shot 3D talking portrait generation aims to reconstruct a 3D avatar from an unseen image, and then animate it with a reference video or audio to generate a talking portrait video.
no code implementations • 23 Jan 2024 • Wanjuan Su, Chen Zhang, Qingshan Xu, Wenbing Tao
While NISR has shown impressive results on simple scenes, it remains challenging to recover delicate geometry from uncontrolled real-world scenes which is caused by its underconstrained optimization.
no code implementations • 29 Jan 2024 • Shuaimin Li, Xuanang Chen, Yuanfeng Song, Yunze Song, Chen Zhang
Data visualization (DV) systems are increasingly recognized for their profound capability to uncover insights from vast datasets, gaining attention across both industry and academia.
no code implementations • 6 Feb 2024 • Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li
In this paper, we introduce a novel framework Knowledge-Data Alignment (KDAlign) to integrate rule knowledge, typically summarized by human experts, to supplement the limited labeled data.
1 code implementation • 29 Feb 2024 • Chen Zhang, Xiao Liu, Jiuheng Lin, Yansong Feng
Existing large language models struggle to support numerous low-resource languages, particularly the extremely low-resource ones where there is minimal training data available for effective parameter updating.
1 code implementation • 12 Mar 2024 • Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng
In this paper, we introduce a novel dynamic expert selection framework for Mixture of Experts (MoE) models, aiming to enhance computational efficiency and model performance by adjusting the number of activated experts based on input difficulty.
no code implementations • 19 Mar 2024 • Danqing Luo, Chen Zhang, Yan Zhang, Haizhou Li
Training or finetuning large-scale language models (LLMs) requires substantial computation resources, motivating recent efforts to explore parameter-efficient adaptation to downstream tasks.
no code implementations • NLP4ConvAI (ACL) 2022 • Tong Zhang, Yong liu, Boyang Li, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao
Conversational Recommendation Systems recommend items through language based interactions with users. In order to generate naturalistic conversations and effectively utilize knowledge graphs (KGs) containing background information, we propose a novel Bag-of-Entities loss, which encourages the generated utterances to mention concepts related to the item being recommended, such as the genre or director of a movie.