Search Results for author: Chen Zhang

Found 80 papers, 19 papers with code

Toward Knowledge-Enriched Conversational Recommendation Systems

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.

Knowledge Graphs Recommendation Systems +1

BANet: Motion Forecasting with Boundary Aware Network

no code implementations16 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.

Motion Forecasting

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression

no code implementations29 May 2022 Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song

As a connection, the scale and the performance of the teacher assistant is crucial for transferring the knowledge from the teacher to the student.

Knowledge Distillation Language Modelling +1

Making Pre-trained Language Models Good Long-tailed Learners

no code implementations11 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.

Classification

NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality

no code implementations9 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.

Speech Synthesis Text-To-Speech Synthesis

Adaptable Text Matching via Meta-Weight Regulator

no code implementations27 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.

Meta-Learning Natural Language Inference +2

Split Hierarchical Variational Compression

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.

Image Compression

Automatic Song Translation for Tonal Languages

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.

Benchmark Translation

S3T: Self-Supervised Pre-training with Swin Transformer for Music Classification

no code implementations21 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.

Classification Data Augmentation +5

L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment

1 code implementation21 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.

Sound Event Localization and Detection Speech Enhancement

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation

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.

Data Free Quantization

MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation

1 code implementation14 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.

Dialogue Evaluation

Boosting Mobile CNN Inference through Semantic Memory

no code implementations5 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.

A Practical Method for Automated Modeling and Parametric Stability Analysis of VSC with Periodical Steady State

no code implementations3 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.

Automatic Evaluation and Moderation of Open-domain Dialogue Systems

2 code implementations3 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.

Chatbot Dialogue Evaluation

OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression

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.

Density Estimation

Transient Synchronization Stability Analysis of Wind Farms with MMC-HVDC Integration Under Offshore AC Grid Fault

no code implementations25 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.

Conditional Variational Autoencoder for Learned Image Reconstruction

no code implementations22 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.

Image Reconstruction

Revisiting Self-Training for Few-Shot Learning of Language Model

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.

Few-Shot Learning Language Modelling +2

Improving Object Permanence using Agent Actions and Reasoning

no code implementations1 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.

Flow Based Models For Manifold Data

no code implementations29 Sep 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.

TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method

no code implementations20 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).

Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics

no code implementations20 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.

Extract, Integrate, Compete: Towards Verification Style Reading Comprehension

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.

Reading Comprehension

Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection

1 code implementation4 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.

object-detection RGB-D Salient Object Detection +1

CompConv: A Compact Convolution Module for Efficient Feature Learning

no code implementations19 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.

Computer Vision

Why Machine Reading Comprehension Models Learn Shortcuts?

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.

Machine Reading Comprehension

Exploiting Position Bias for Robust Aspect Sentiment Classification

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.

Classification Sentiment Analysis

Large-Signal Grid-Synchronization Stability Analysis of PLL-based VSCs Using Lyapunov's Direct Method

no code implementations23 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.

Dual-side Sparse Tensor Core

no code implementations20 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.

KECRS: Towards Knowledge-Enriched Conversational Recommendation System

no code implementations18 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.

Entity Embeddings Knowledge Graphs +3

Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement

no code implementations1 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.

Untangling scaling dimensions of fixed charge operators in Higgs Theories

no code implementations8 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

Identifying Informative Latent Variables Learned by GIN via Mutual Information

no code implementations1 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.

Adversarial Attack Disentanglement +1

On the Latent Space of Flow-based Models

no code implementations1 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.

Diamond magnetometry and gradiometry towards subpicotesla DC field measurement

no code implementations31 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

Denoising Text to Speech with Frame-Level Noise Modeling

no code implementations17 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.

Denoising

CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts

no code implementations15 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.

Response Generation

Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction

no code implementations17 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.

Image Reconstruction

A Multi-task Learning Framework for Opinion Triplet Extraction

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 Sentiment Triplet Extraction Extract Aspect +1

Partially Observable Online Change Detection via Smooth-Sparse Decomposition

no code implementations22 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.

Bayesian Inference Change Detection

Crowding Prediction of In-Situ Metro Passengers Using Smart Card Data

no code implementations7 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.

FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire

no code implementations6 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.

Language Modelling Lipreading

Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent

no code implementations20 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.

SimulSpeech: End-to-End Simultaneous Speech to Text Translation

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 Knowledge Distillation +4

Quantum nucleation of up-down quark matter and astrophysical implications

no code implementations17 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

A Survey on Dynamic Network Embedding

no code implementations15 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

UWSpeech: Speech to Speech Translation for Unwritten Languages

no code implementations14 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.

speech-recognition Speech Recognition +2

Towards Persona-Based Empathetic Conversational Models

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.

Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile

no code implementations23 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.

Tensor Decomposition

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

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.

Knowledge Distillation Model Compression +1

A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence

no code implementations18 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.

Face Detection Facial Landmark Detection +1

End-to-end Emotion-Cause Pair Extraction via Learning to Link

2 code implementations25 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.

Emotion Cause Extraction Emotion Cause Pair Extraction +4

Deeper Insights into Weight Sharing in Neural Architecture Search

1 code implementation6 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.

Neural Architecture Search

Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction

1 code implementation11 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.

Tensor Decomposition

Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network

1 code implementation23 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.

General Classification Sentiment Analysis

Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

1 code implementation 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.

General Classification Sentiment Analysis

Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration

1 code implementation1 Aug 2019 Chen Zhang, Bangti Jin

Aleatoric uncertainty is an intrinsic property of ill-posed inverse and imaging problems.

Image Restoration

Balanced Sparsity for Efficient DNN Inference on GPU

no code implementations1 Nov 2018 Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie

However, it requires the customization of hardwares to speed up practical inference.

Multiple profiles sensor-based monitoring and anomaly detection

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.

Anomaly Detection

Using Deep Siamese Neural Networks to Speed up Natural Products Research

no code implementations27 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.

Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning

no code implementations11 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.

Variational Gaussian Approximation for Poisson Data

no code implementations18 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.

ResumeVis: A Visual Analytics System to Discover Semantic Information in Semi-structured Resume Data

no code implementations15 May 2017 Chen Zhang, Hao Wang, Yingcai Wu

Then, a set of visualizations are devised to represent the semantic information in multiple perspectives.

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