b'Xiang Chen'

Document-level Relation Extraction as Semantic Segmentation

Document-level relation extraction aims to extract relations among multi...
06/07/2021 ∙ by Ningyu Zhang, et al. ∙ 0 ∙ share

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AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba

Conceptual graphs, which is a particular type of Knowledge Graphs, play ...
06/03/2021 ∙ by Ningyu Zhang, et al. ∙ 0 ∙ share

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Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining

Rain streaks bring serious blurring and visual quality degradation, whic...
04/25/2021 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction

In this paper, we reformulate the relation extraction task as mask langu...
04/15/2021 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges

We advocate a new resource allocation framework, which we term resource ...
04/14/2021 ∙ by Cong Shen, et al. ∙ 5 ∙ share

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Disentangled Contrastive Learning for Learning Robust Textual Representations

Although the self-supervised pre-training of transformer models has resu...
04/11/2021 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction

Recent neural-based relation extraction approaches, though achieving pro...
04/01/2021 ∙ by Luoqiu Li, et al. ∙ 0 ∙ share

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ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning

This paper presents our systems for the three Subtasks of SemEval Task4:...
02/25/2021 ∙ by Xin Xie, et al. ∙ 0 ∙ share

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DeepPseudo: Deep Pseudo-code Generation via Transformer and Code Feature Extraction

Pseudo-code written by natural language is helpful for novice developers...
02/12/2021 ∙ by Guang Yang, et al. ∙ 0 ∙ share

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Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow

As a popular Q A site for programming, Stack Overflow is a treasure fo...
02/01/2021 ∙ by Kaibo Cao, et al. ∙ 0 ∙ share

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Design and Analysis of Uplink and Downlink Communications for Federated Learning

Communication has been known to be one of the primary bottlenecks of fed...
12/07/2020 ∙ by Sihui Zheng, et al. ∙ 5 ∙ share

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Cross-Domain Sentiment Classification with In-Domain Contrastive Learning

Contrastive learning (CL) has been successful as a powerful representati...
12/05/2020 ∙ by Tian Li, et al. ∙ 0 ∙ share

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Directed Graph Attention Neural Network Utilizing 3D Coordinates for Molecular Property Prediction

The prosperity of computer vision (CV) and natural language procession (...
12/01/2020 ∙ by Chen Qian, et al. ∙ 0 ∙ share

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Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks

This paper gives an overview of our ongoing work on the design space exp...
11/22/2020 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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Efficient Neural Network Implementation with Quadratic Neuron

Previous works proved that the combination of the linear neuron network ...
11/21/2020 ∙ by Zirui Xu, et al. ∙ 0 ∙ share

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Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination

Despite the superb performance of State-Of-The-Art (SOTA) DNNs, the incr...
11/08/2020 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization

Contrastive learning (CL) has been successful as a powerful representati...
10/30/2020 ∙ by Tian Li, et al. ∙ 0 ∙ share

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Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography

Spectral computed tomography (CT) can reconstruct spectral images from d...
10/27/2020 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG

Automatic arrhythmia detection using 12-lead electrocardiogram (ECG) sig...
08/17/2020 ∙ by Jing Zhang, et al. ∙ 2 ∙ share

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AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency

Convolutional Neural Networks (CNNs) achieved great cognitive performanc...
08/14/2020 ∙ by Fuxun Yu, et al. ∙ 17 ∙ share

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LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery

State-of-the-art object detection approaches such as Fast/Faster R-CNN, ...
05/28/2020 ∙ by Wentong Liao, et al. ∙ 6 ∙ share

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Generative Feature Replay with Orthogonal Weight Modification for Continual Learning

The ability of intelligent agents to learn and remember multiple tasks s...
05/07/2020 ∙ by Gehui Shen, et al. ∙ 0 ∙ share

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Average Age of Changed Information in the Internet of Things

The freshness of status updates is imperative in mission-critical Intern...
03/01/2020 ∙ by Wenrui Lin, et al. ∙ 0 ∙ share

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Joint Transmission and Computing Scheduling for Status Update with Mobile Edge Computing

Age of Information (AoI), defined as the time elapsed since the generati...
02/22/2020 ∙ by Jie Gong, et al. ∙ 0 ∙ share

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RapidLayout: Fast Hard Block Placement of FPGA-optimized Systolic Arrays using Evolutionary Algorithms

Evolutionary algorithms can outperform conventional placement algorithms...
02/17/2020 ∙ by Niansong Zhang, et al. ∙ 0 ∙ share

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Analysis on Computation-Intensive Status Update in Mobile Edge Computing

In status update scenarios, the freshness of information is measured in ...
02/15/2020 ∙ by Qiaobin Kuang, et al. ∙ 0 ∙ share

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COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning

This paper studies the decentralized optimization and learning problem w...
01/28/2020 ∙ by Ping Xu, et al. ∙ 0 ∙ share

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An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

Weight pruning has been widely acknowledged as a straightforward and eff...
01/20/2020 ∙ by Xiaolong Ma, et al. ∙ 18 ∙ share

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SQLFlow: A Bridge between SQL and Machine Learning

Industrial AI systems are mostly end-to-end machine learning (ML) workfl...
01/19/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices

In this work, we propose ELFISH - a resource-aware federated learning fr...
12/03/2019 ∙ by Zirui Xu, et al. ∙ 0 ∙ share

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Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning

Current state-of-the-art object detectors can have significant performan...
11/17/2019 ∙ by Fuxun Yu, et al. ∙ 47 ∙ share

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LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications

Recently, adversarial attacks can be applied to the physical world, caus...
10/17/2019 ∙ by Zirui Xu, et al. ∙ 0 ∙ share

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Task-Adaptive Incremental Learning for Intelligent Edge Devices

Convolutional Neural Networks (CNNs) are used for a wide range of image-...
10/07/2019 ∙ by Zhuwei Qin, et al. ∙ 0 ∙ share

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Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation

The state-of-art DNN structures involve intensive computation and high m...
08/27/2019 ∙ by Xiaolong Ma, et al. ∙ 19 ∙ share

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Multi-stage Deep Classifier Cascades for Open World Recognition

At present, object recognition studies are mostly conducted in a closed ...
08/26/2019 ∙ by Xiaojie Guo, et al. ∙ 0 ∙ share

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Revisiting Heterogeneous Defect Prediction: How Far Are We?

Until now, researchers have proposed several novel heterogeneous defect ...
08/19/2019 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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ADMM for Efficient Deep Learning with Global Convergence

Alternating Direction Method of Multipliers (ADMM) has been used success...
05/31/2019 ∙ by Junxiang Wang, et al. ∙ 0 ∙ share

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DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks

Recently, Convolutional Neural Networks (CNNs) demonstrate a considerabl...
05/21/2019 ∙ by Zirui Xu, et al. ∙ 0 ∙ share

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Interpreting and Evaluating Neural Network Robustness

Recently, adversarial deception becomes one of the most considerable thr...
05/10/2019 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation

As a sub-domain of text-to-image synthesis, text-to-face generation has ...
04/11/2019 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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DeepCount: Crowd Counting with WiFi via Deep Learning

Recently, the research of wireless sensing has achieved more intelligent...
03/13/2019 ∙ by Shangqing Liu, et al. ∙ 0 ∙ share

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Reducing Age-of-Information for Computation-Intensive Messages via Packet Replacement

Freshness of data is an important performance metric for real-time appli...
01/15/2019 ∙ by Jie Gong, et al. ∙ 0 ∙ share

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Age-of-Information for Computation-Intensive Messages in Mobile Edge Computing

Age-of-information (AoI) is a novel metric that measures the freshness o...
01/07/2019 ∙ by Qiaobin Kuang, et al. ∙ 0 ∙ share

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Background Subtraction with Real-time Semantic Segmentation

Accurate and fast foreground object extraction is very important for obj...
11/25/2018 ∙ by Dongdong Zeng, et al. ∙ 0 ∙ share

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Demystifying Neural Network Filter Pruning

Based on filter magnitude ranking (e.g. L1 norm), conventional filter pr...
10/29/2018 ∙ by Zhuwei Qin, et al. ∙ 0 ∙ share

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Distilling Critical Paths in Convolutional Neural Networks

Neural network compression and acceleration are widely demanded currentl...
10/28/2018 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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Learning color space adaptation from synthetic to real images of cirrus clouds

Training on synthetic data is becoming popular in vision due to the conv...
10/24/2018 ∙ by Qing Lyu, et al. ∙ 0 ∙ share

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Progressive Weight Pruning of Deep Neural Networks using ADMM

Deep neural networks (DNNs) although achieving human-level performance i...
10/17/2018 ∙ by Shaokai Ye, et al. ∙ 16 ∙ share

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Interpretable Convolutional Filter Pruning

The sophisticated structure of Convolutional Neural Network (CNN) allows...
10/12/2018 ∙ by Zhuwei Qin, et al. ∙ 0 ∙ share

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Interpreting Adversarial Robustness: A View from Decision Surface in Input Space

One popular hypothesis of neural network generalization is that the flat...
09/29/2018 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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Xiang Chen

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