Search Results for author: Chen Zhang

Found 154 papers, 62 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

Weakly Supervised Anomaly Detection via Knowledge-Data Alignment

no code implementations6 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.

Malware Detection Supervised Anomaly Detection +1

Prompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization

no code implementations29 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.

Data Visualization In-Context Learning

PSDF: Prior-Driven Neural Implicit Surface Learning for Multi-view Reconstruction

no code implementations23 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.

Surface Reconstruction

Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis

no code implementations16 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.

3D Reconstruction Super-Resolution +1

A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators

1 code implementation24 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.

Dialogue Evaluation

Relation-Aware Question Answering for Heterogeneous Knowledge Graphs

1 code implementation19 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.

Knowledge Base Question Answering Knowledge Graphs +1

Dynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly Detection

1 code implementation4 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.

Anomaly Detection Video Anomaly Detection

Work State-Centric AI Agents: Design, Implementation, and Management of Cognitive Work Threads

no code implementations16 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.


MC^2: A Multilingual Corpus of Minority Languages in China

1 code implementation14 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.

On Elastic Language Models

no code implementations13 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.

Information Retrieval Knowledge Distillation +4

Towards the Law of Capacity Gap in Distilling Language Models

1 code implementation13 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.

Language Modelling

Sparse Contrastive Learning of Sentence Embeddings

no code implementations7 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.

Contrastive Learning Semantic Textual Similarity +4

Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering

no code implementations31 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.

Clustering Community Detection +1

PG-NeuS: Robust and Efficient Point Guidance for Multi-View Neural Surface Reconstruction

no code implementations12 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.

Surface Reconstruction

Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection

2 code implementations17 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.

object-detection RGB-D Salient Object Detection +1

Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing

1 code implementation15 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.

counterfactual Counterfactual Reasoning +1

User-Controlled Knowledge Fusion in Large Language Models: Balancing Creativity and Hallucination

no code implementations30 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.

Hallucination Semantic Similarity +3

Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts

no code implementations14 Jul 2023 Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Chen Zhang, Zhenhui Ye, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao

In this paper, we introduce Mega-TTS 2, a generic zero-shot multispeaker TTS model that is capable of synthesizing speech for unseen speakers with arbitrary-length prompts.

In-Context Learning Language Modelling

PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR

no code implementations11 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.

Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering

no code implementations23 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.

Clustering Trajectory Clustering

Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4

1 code implementation22 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.

Dynamic Causal Graph Convolutional Network for Traffic Prediction

1 code implementation12 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.

Traffic Prediction

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

no code implementations6 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.

Attribute Inductive Bias +3

Nonparametric Iterative Machine Teaching

1 code implementation5 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.

MM-DAG: Multi-task DAG Learning for Multi-modal Data -- with Application for Traffic Congestion Analysis

1 code implementation5 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.

Temporal-spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit

no code implementations3 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.

How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension

1 code implementation1 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.

Machine Reading Comprehension

Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation

no code implementations29 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.

Audio Generation Denoising +2

Lawyer LLaMA Technical Report

1 code implementation24 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.

Hallucination Retrieval

Task-agnostic Distillation of Encoder-Decoder Language Models

no code implementations21 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.

Abstractive Text Summarization

EE-TTS: Emphatic Expressive TTS with Linguistic Information

no code implementations20 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.

Lifting the Curse of Capacity Gap in Distilling Language Models

1 code implementation20 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.

Knowledge Distillation

Chest X-ray Image Classification: A Causal Perspective

no code implementations20 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.

Classification Image Classification

Instrumental Variable Learning for Chest X-ray Classification

no code implementations20 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.


REMAST: Real-time Emotion-based Music Arrangement with Soft Transition

1 code implementation14 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.

Modular Retrieval for Generalization and Interpretation

1 code implementation23 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.

Language Modelling Retrieval

Road Extraction with Satellite Images and Partial Road Maps

1 code implementation22 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.

STGIC: a graph and image convolution-based method for spatial transcriptomic clustering

no code implementations19 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.

Clustering Contrastive Learning +1

Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension

1 code implementation26 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

DMNet: Delaunay Meshing Network for 3D Shape Representation

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.

3D Shape Representation

PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment

no code implementations18 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.

Data Augmentation Dialogue Evaluation +4

One-shot Machine Teaching: Cost Very Few Examples to Converge Faster

no code implementations13 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.

VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing

1 code implementation30 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.

Machine Translation Sentence +4

DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing

1 code implementation23 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.

Ensemble Learning Knowledge Distillation +1

FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation

2 code implementations25 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.

Dialogue Evaluation

Analyzing and Evaluating Faithfulness in Dialogue Summarization

1 code implementation21 Oct 2022 Bin Wang, Chen Zhang, Yan Zhang, Yiming Chen, Haizhou Li

The factual correctness of summaries has the highest priority before practical applications.

Text Summarization

XPrompt: Exploring the Extreme of Prompt Tuning

no code implementations10 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.

Does Thermal Really Always Matter for RGB-T Salient Object Detection?

2 code implementations9 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.

object-detection Object Detection +2

Sparse Teachers Can Be Dense with Knowledge

1 code implementation8 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.

CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detection

3 code implementations6 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.

object-detection RGB-D Salient Object Detection +1

SoccerNet 2022 Challenges Results

7 code implementations5 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.

Action Spotting Camera Calibration +3

Asset Pricing and Deep Learning

no code implementations24 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.

Explainable artificial intelligence Time Series Prediction

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training

no code implementations22 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).

SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias

no code implementations13 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.

Knowledge-enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering

no code implementations7 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.

Knowledge Base Question Answering Retrieval

A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels

3 code implementations7 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.

object-detection RGB Salient Object Detection +3

Multi-scale temporal-frequency attention for music source separation

no code implementations2 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).

Music Source Separation

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization

1 code implementation30 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.


PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis

2 code implementations2 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

Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets

1 code implementation20 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).

Domain Generalization

Aspect-specific Context Modeling for Aspect-based Sentiment Analysis

1 code implementation17 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

SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder

no code implementations11 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.

Text Matching Text Summarization

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

MiniDisc: Minimal Distillation Schedule for Language Model Compression

1 code implementation29 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.

Knowledge Distillation Language Modelling +2

Making Pretrained Language Models Good Long-tailed Learners

1 code implementation11 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.


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

3 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.

 Ranked #1 on Text-To-Speech Synthesis on LJSpeech (using extra training data)

Sentence Speech Synthesis +1

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.


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

1 code implementation21 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 Uncertainty Quantification

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.

Benchmarking Few-Shot Learning +6

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.


Spread Flows for Manifold Modelling

no code implementations29 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.

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.

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

1 code implementation20 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).

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.

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 Position +4

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

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.

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

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.


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-Based Sentiment Analysis Aspect Sentiment Triplet Extraction +2

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 +1

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 Automatic Speech Recognition (ASR) +7

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.

Clustering 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.

Blocking Knowledge Distillation +2

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.

Benchmarking Emotion Cause Extraction +3

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.

Descriptive General Classification +2

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

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.

Benchmarking Classification +4

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

Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering

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.

Autonomous Driving Object +2

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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