Search Results for author: Tao Chen

Found 125 papers, 48 papers with code

AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset

1 code implementation1 Jun 2023 Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao

It is a long-term vision for Autonomous Driving (AD) community that the perception models can learn from a large-scale point cloud dataset, to obtain unified representations that can achieve promising results on different tasks or benchmarks.

Autonomous Driving Point Cloud Pre-training

StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation

1 code implementation30 May 2023 Chi Zhang, YiWen Chen, Yijun Fu, Zhenglin Zhou, Gang Yu, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen

The recent advancements in image-text diffusion models have stimulated research interest in large-scale 3D generative models.

Boost Vision Transformer with GPU-Friendly Sparsity and Quantization

no code implementations CVPR 2023 Chong Yu, Tao Chen, Zhongxue Gan, Jiayuan Fan

Moreover, GPUSQ-ViT can boost actual deployment performance by 1. 39-1. 79 times and 3. 22-3. 43 times of latency and throughput on A100 GPU, and 1. 57-1. 69 times and 2. 11-2. 51 times improvement of latency and throughput on AGX Orin.

Benchmarking Knowledge Distillation +1

Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation

1 code implementation9 May 2023 Tao Chen, Yazhou Yao, Jinhui Tang

Weakly supervised semantic segmentation (WSSS) models relying on class activation maps (CAMs) have achieved desirable performance comparing to the non-CAMs-based counterparts.

Denoising Image Generation +2

Stimulative Training++: Go Beyond The Performance Limits of Residual Networks

no code implementations4 May 2023 Peng Ye, Tong He, Shengji Tang, Baopu Li, Tao Chen, Lei Bai, Wanli Ouyang

In this work, we aim to re-investigate the training process of residual networks from a novel social psychology perspective of loafing, and further propose a new training scheme as well as three improved strategies for boosting residual networks beyond their performance limits.

Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey

no code implementations3 May 2023 Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, DaCheng Tao

With the world population rapidly increasing, transforming our agrifood systems to be more productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages.

Semi-Supervised Semantic Segmentation With Region Relevance

1 code implementation23 Apr 2023 Rui Chen, Tao Chen, Qiong Wang, Yazhou Yao

The most common approach is to generate pseudo-labels for unlabeled images to augment the training data.

Pseudo Label Semi-Supervised Semantic Segmentation

Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?

no code implementations20 Apr 2023 Haoyang Peng, Baopu Li, Bo Zhang, Xin Chen, Tao Chen, Hongyuan Zhu

Then, a novel multi-view prompt fusion module is developed to effectively fuse information from different views to bridge the gap between 3D point cloud data and 2D pre-trained models.

Autonomous Driving Classification +3

BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation

no code implementations10 Apr 2023 Tao Chen, Chenhui Wang, Hongming Shan

Second, by leveraging the stochastic nature of the diffusion model, our BerDiff randomly samples the initial Bernoulli noise and intermediate latent variables multiple times to produce a range of diverse segmentation masks, which can highlight salient regions of interest that can serve as valuable references for radiologists.

Image Segmentation Medical Image Segmentation +1

What Makes for Effective Few-shot Point Cloud Classification?

no code implementations31 Mar 2023 Chuangguan Ye, Hongyuan Zhu, Yongbin Liao, Yanggang Zhang, Tao Chen, Jiayuan Fan

Due to the emergence of powerful computing resources and large-scale annotated datasets, deep learning has seen wide applications in our daily life.

Benchmarking Classification +2

A Closer Look at Few-Shot 3D Point Cloud Classification

no code implementations31 Mar 2023 Chuangguan Ye, Hongyuan Zhu, Bo Zhang, Tao Chen

In recent years, research on few-shot learning (FSL) has been fast-growing in the 2D image domain due to the less requirement for labeled training data and greater generalization for novel classes.

Few-Shot 3D Point Cloud Classification Few-Shot Learning +1

DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics

no code implementations27 Mar 2023 Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

Reinforcement learning approaches for dexterous rigid object manipulation would struggle in this setting due to the complexity of physics interaction with deformable objects.

Deformable Object Manipulation

TactoFind: A Tactile Only System for Object Retrieval

no code implementations23 Mar 2023 Sameer Pai, Tao Chen, Megha Tippur, Edward Adelson, Abhishek Gupta, Pulkit Agrawal

We study the problem of object retrieval in scenarios where visual sensing is absent, object shapes are unknown beforehand and objects can move freely, like grabbing objects out of a drawer.


Performance-aware Approximation of Global Channel Pruning for Multitask CNNs

1 code implementation21 Mar 2023 Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang

Global channel pruning (GCP) aims to remove a subset of channels (filters) across different layers from a deep model without hurting the performance.

Model Compression

Tucker Bilinear Attention Network for Multi-scale Remote Sensing Object Detection

no code implementations9 Mar 2023 Tao Chen, Ruirui Li, Jiafeng Fu, Daguang Jiang

However, for small targets, there still be seriously missed detections due to the loss of key detail features.

Management object-detection +1

ConceptFusion: Open-set Multimodal 3D Mapping

no code implementations14 Feb 2023 Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba

ConceptFusion leverages the open-set capabilities of today's foundation models pre-trained on internet-scale data to reason about concepts across modalities such as natural language, images, and audio.

Autonomous Driving Robot Navigation

FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network

1 code implementation19 Jan 2023 Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao, Xian-Sheng Hua

Few-shot semantic segmentation is the task of learning to locate each pixel of the novel class in the query image with only a few annotated support images.

Few-Shot Semantic Segmentation

A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction

no code implementations17 Jan 2023 Chongshan Lu, Fukun Yin, Xin Chen, Tao Chen, Gang Yu, Jiayuan Fan

Meanwhile, a new benchmark for several outdoor NeRF-based tasks is established, such as novel view synthesis, surface reconstruction, and multi-modal NeRF.

Novel View Synthesis Surface Reconstruction

$β$-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search

1 code implementation16 Jan 2023 Peng Ye, Tong He, Baopu Li, Tao Chen, Lei Bai, Wanli Ouyang

To address the robustness problem, we first benchmark different NAS methods under a wide range of proxy data, proxy channels, proxy layers and proxy epochs, since the robustness of NAS under different kinds of proxies has not been explored before.

Neural Architecture Search

Do Performance Aspirations Matter for Guiding Software Configuration Tuning?

1 code implementation9 Jan 2023 Tao Chen, Miqing Li

Before we design better optimizers, a crucial engineering decision to make therein is how to handle the performance requirements with clear aspirations in the tuning process.

Decision Making

End-to-End 3D Dense Captioning with Vote2Cap-DETR

no code implementations CVPR 2023 Sijin Chen, Hongyuan Zhu, Xin Chen, Yinjie Lei, Tao Chen, Gang Yu

Compared with prior arts, our framework has several appealing advantages: 1) Without resorting to numerous hand-crafted components, our method is based on a full transformer encoder-decoder architecture with a learnable vote query driven object decoder, and a caption decoder that produces the dense captions in a set-prediction manner.

3D dense captioning Dense Captioning

UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering

no code implementations21 Dec 2022 Chenlu Zhan, Peng Peng, Hongsen Wang, Tao Chen, Hongwei Wang

Moreover, for grasping the unified semantic representation, we extend the adversarial masking data augmentation to the contrastive representation learning of vision and text in a unified manner.

Data Augmentation Decision Making +4

Executing your Commands via Motion Diffusion in Latent Space

1 code implementation CVPR 2023 Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu

We study a challenging task, conditional human motion generation, which produces plausible human motion sequences according to various conditional inputs, such as action classes or textual descriptors.

Motion Synthesis

Towards Accurate Ground Plane Normal Estimation from Ego-Motion

1 code implementation8 Dec 2022 Jiaxin Zhang, Wei Sui, Qian Zhang, Tao Chen, Cong Yang

In this paper, we introduce a novel approach for ground plane normal estimation of wheeled vehicles.

3D Object Detection Autonomous Driving +3

Visual Dexterity: In-hand Dexterous Manipulation from Depth

no code implementations21 Nov 2022 Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal

In-hand object reorientation is necessary for performing many dexterous manipulation tasks, such as tool use in unstructured environments that remain beyond the reach of current robots.

Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation

no code implementations15 Nov 2022 Weimin Wu, Jiayuan Fan, Tao Chen, Hancheng Ye, Bo Zhang, Baopu Li

To enhance the model, adaptability between domains and reduce the computational cost when deploying the ensemble model, we propose a novel framework, namely Instance aware Model Ensemble With Distillation, IMED, which fuses multiple UDA component models adaptively according to different instances and distills these components into a small model.

Knowledge Distillation Unsupervised Domain Adaptation

Coordinates Are NOT Lonely -- Codebook Prior Helps Implicit Neural 3D Representations

1 code implementation20 Oct 2022 Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang Yu

Implicit neural 3D representation has achieved impressive results in surface or scene reconstruction and novel view synthesis, which typically uses the coordinate-based multi-layer perceptrons (MLPs) to learn a continuous scene representation.

Novel View Synthesis

Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing

1 code implementation9 Oct 2022 Peng Ye, Shengji Tang, Baopu Li, Tao Chen, Wanli Ouyang

In this work, we aim to re-investigate the training process of residual networks from a novel social psychology perspective of loafing, and further propose a new training strategy to strengthen the performance of residual networks.

Distilling Task-specific Logical Rules from Large Pre-trained Models

no code implementations6 Oct 2022 Tao Chen, Luxin Liu, Xuepeng Jia, Baoliang Cui, Haihong Tang, Siliang Tang

Specifically, we borrow recent prompt-based language models as the knowledge expert to yield initial seed rules, and based on the formed high-quality instance pool that acts as an intermediary role, we keep teaching the expert to fit our task and learning task-specific logical rules.

Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks

1 code implementation4 Oct 2022 Guoming Long, Tao Chen, Georgina Cosma

Yet, given the growing number of new GitHub reports for DL frameworks, it is intrinsically difficult for developers to distinguish those that reveal non-functional bugs among the others, and assign them to the right contributor for investigation in a timely manner.

Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal

1 code implementation17 Jul 2022 Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao

Inspired by the vulnerability of DNNs on adversarial perturbations, we propose a novel defence mechanism by adversarial machine learning for good.

Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification

1 code implementation2 Jul 2022 Bo Zhang, Jiakang Yuan, Baopu Li, Tao Chen, Jiayuan Fan, Botian Shi

Few-shot fine-grained learning aims to classify a query image into one of a set of support categories with fine-grained differences.

Fine-Grained Image Classification

Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation

1 code implementation20 Jun 2022 Tao Chen, Yazhou Yao, Lei Zhang, Qiong Wang, Guo-Sen Xie, Fumin Shen

Specifically, we propose a saliency guided class-agnostic distance module to pull the intra-category features closer by aligning features to their class prototypes.

Pseudo Label Weakly supervised Semantic Segmentation +1

Rapid Locomotion via Reinforcement Learning

no code implementations5 May 2022 Gabriel B Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal

Agile maneuvers such as sprinting and high-speed turning in the wild are challenging for legged robots.

reinforcement-learning Reinforcement Learning (RL)

On Parametric Optimal Execution and Machine Learning Surrogates

1 code implementation18 Apr 2022 Tao Chen, Mike Ludkovski, Moritz Voß

Precise calibration of price impact, resilience, etc., is known to be extremely challenging and hence it is critical to understand sensitivity of the execution policy to these parameters.

BIG-bench Machine Learning

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

3 code implementations CVPR 2022 Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang, Wenyu Liu, Gang Yu, Chunhua Shen

Although vision transformers (ViTs) have achieved great success in computer vision, the heavy computational cost hampers their applications to dense prediction tasks such as semantic segmentation on mobile devices.

Semantic Segmentation

Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes

1 code implementation30 Mar 2022 Jingzhi Gong, Tao Chen

Learning and predicting the performance of a configurable software system helps to provide better quality assurance.

Topological Experience Replay

no code implementations ICLR 2022 Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal

State-of-the-art deep Q-learning methods update Q-values using state transition tuples sampled from the experience replay buffer.


Planning Landscape Analysis for Self-Adaptive Systems

no code implementations23 Mar 2022 Tao Chen

To assure performance on the fly, planning is arguably one of the most important steps for self-adaptive systems (SASs), especially when they are highly configurable with a daunting number of adaptation options.

Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation

1 code implementation3 Mar 2022 Bo Zhang, Tao Chen, Bin Wang

Although domain adaptation has been extensively studied in natural image-based segmentation task, the research on cross-domain segmentation for very high resolution (VHR) remote sensing images (RSIs) still remains underexplored.

Domain Adaptation Image Segmentation +1

$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search

1 code implementation3 Mar 2022 Peng Ye, Baopu Li, Yikang Li, Tao Chen, Jiayuan Fan, Wanli Ouyang

Neural Architecture Search~(NAS) has attracted increasingly more attention in recent years because of its capability to design deep neural networks automatically.

Neural Architecture Search

The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering

1 code implementation8 Feb 2022 Tao Chen, Miqing Li

However, when clear preferences of the stakeholders (e. g., a set of weights which reflect relative importance between objectives) are available prior to the search, weighted search is believed to be the first choice since it simplifies the search via converting the original multi-objective problem into a single-objective one and enable the search to focus on what only the stakeholders are interested in.

Pre-Trained Language Models for Interactive Decision-Making

1 code implementation3 Feb 2022 Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu

Together, these results suggest that language modeling induces representations that are useful for modeling not just language, but also goals and plans; these representations can aid learning and generalization even outside of language processing.

Imitation Learning Language Modelling

Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models

no code implementations25 Jan 2022 Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork

In this work, we carefully select five datasets, including two in-domain datasets and three out-of-domain datasets with different levels of domain shift, and study the generalization of a deep model in a zero-shot setting.

Language Modelling Passage Retrieval +1

Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction?

no code implementations18 Jan 2022 Tao Chen

When faced with changing environment, highly configurable software systems need to dynamically search for promising adaptation plan that keeps the best possible performance, e. g., higher throughput or smaller latency -- a typical planning problem for self-adaptive systems (SASs).

Swin Transformer coupling CNNs Makes Strong Contextual Encoders for VHR Image Road Extraction

no code implementations10 Jan 2022 Tao Chen, Yiran Liu, Haoyu Jiang, Ruirui Li

While CNN excels at extracting local detail features, the Transformer naturally perceives global contextual information.

LONViZ: Unboxing the black-box of Configurable Software Systems from a Complex Networks Perspective

no code implementations5 Jan 2022 Ke Li, Peili Mao, Tao Chen

Due to the black-box nature, it is difficult, if not impossible, to analyze and understand its behavior, such as the interaction between combinations of configuration options with regard to the performance, in particular, which is of great importance to advance the controllability of the underlying software system.

b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search

1 code implementation CVPR 2022 Peng Ye, Baopu Li, Yikang Li, Tao Chen, Jiayuan Fan, Wanli Ouyang

Neural Architecture Search (NAS) has attracted increasingly more attention in recent years because of its capability to design deep neural network automatically.

Neural Architecture Search

Neural Hierarchical Factorization Machines for User's Event Sequence Analysis

no code implementations31 Dec 2021 Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He

Many prediction tasks of real-world applications need to model multi-order feature interactions in user's event sequence for better detection performance.

Feature-context driven Federated Meta-Learning for Rare Disease Prediction

no code implementations29 Dec 2021 Bingyang Chen, Tao Chen, Xingjie Zeng, Weishan Zhang, Qinghua Lu, Zhaoxiang Hou, Jiehan Zhou, Sumi Helal

Additionally, a dynamic-weight based fusion strategy is proposed to further improve the accuracy of federated learning, which dynamically selects clients based on the accuracy of each local model.

Disease Prediction Federated Learning +1

MMO: Meta Multi-Objectivization for Software Configuration Tuning

1 code implementation14 Dec 2021 Tao Chen, Miqing Li

We also demonstrate that the MMO model with the new normalization can consolidate Flash, a recent model-based tuning tool, on 68% of the cases with 1. 22x speedup in general.

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

no code implementations2 Dec 2021 Wei Liu, Huanqin Wu, Wenjing Mu, Zhen Li, Tao Chen, Dan Nie

We propose CO2Sum (Contrastive for Consistency), a contrastive learning scheme that can be easily applied on sequence-to-sequence models for factual-consistent abstractive summarization, proving that the model can be fact-aware without modifying the architecture.

Abstractive Text Summarization Contrastive Learning

Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining

1 code implementation30 Nov 2021 Yongbin Liao, Hongyuan Zhu, Yanggang Zhang, Chuangguan Ye, Tao Chen, Jiayuan Fan

For stage two, the bounding box proposals with SPCR are grouped into some subsets, and the instance masks are mined inside each subset with a novel semantic propagation module and a property consistency graph module.

Instance Segmentation Semantic Segmentation

A System for General In-Hand Object Re-Orientation

no code implementations4 Nov 2021 Tao Chen, Jie Xu, Pulkit Agrawal

The videos of the learned policies are available at: https://taochenshh. github. io/projects/in-hand-reorientation.

Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment

no code implementations10 Oct 2021 Haichao Zhang, Youcheng Ben, Weixi Zhang, Tao Chen, Gang Yu, Bin Fu

Recent face reenactment works are limited by the coarse reference landmarks, leading to unsatisfactory identity preserving performance due to the distribution gap between the manipulated landmarks and those sampled from a real person.

Face Reenactment

Sketch Me A Video

no code implementations10 Oct 2021 Haichao Zhang, Gang Yu, Tao Chen, Guozhong Luo

Video creation has been an attractive yet challenging task for artists to explore.

Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection

1 code implementation19 Sep 2021 Bo Zhang, Tao Chen, Bin Wang, Ruoyao Li

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

object-detection Object Detection +1

Densely Semantic Enhancement for Domain Adaptive Region-free Detectors

no code implementations30 Aug 2021 Bo Zhang, Tao Chen, Bin Wang, Xiaofeng Wu, Liming Zhang, Jiayuan Fan

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

object-detection Object Detection +1

Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification

no code implementations30 Aug 2021 Yike Wu, Bo Zhang, Gang Yu, Weixi Zhang, Bin Wang, Tao Chen, Jiayuan Fan

The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set.

Fine-Grained Image Classification Semantic correspondence +2

Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification

1 code implementation ACL 2021 Xuepeng Wang, Li Zhao, Bing Liu, Tao Chen, Feng Zhang, Di Wang

In this paper, we propose a novel concept-based label embedding method that can explicitly represent the concept and model the sharing mechanism among classes for the hierarchical text classification.

text-classification Text Classification

An End-to-End Differentiable Framework for Contact-Aware Robot Design

1 code implementation15 Jul 2021 Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, Pulkit Agrawal

Existing methods for co-optimization are limited and fail to explore a rich space of designs.

Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training

1 code implementation21 Jun 2021 Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang

In this paper, we propose collaborative adversarial training to improve the data utilization, which coordinates virtual adversarial training (VAT) and adversarial training (AT) at different levels.

Relation Extraction

CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction

1 code implementation ACL 2021 Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang

The journey of reducing noise from distant supervision (DS) generated training data has been started since the DS was first introduced into the relation extraction (RE) task.

Relation Extraction

Dynamic Language Models for Continuously Evolving Content

no code implementations11 Jun 2021 Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork

To this end, we both explore two different vocabulary composition methods, as well as propose three sampling methods which help in efficient incremental training for BERT-like models.

UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction

1 code implementation Findings (ACL) 2021 Huanqin Wu, Wei Liu, Lei LI, Dan Nie, Tao Chen, Feng Zhang, Di Wang

Keyphrase Prediction (KP) task aims at predicting several keyphrases that can summarize the main idea of the given document.

Multi-Objectivizing Software Configuration Tuning (for a single performance concern)

no code implementations31 May 2021 Tao Chen, Miqing Li

Automatically tuning software configuration for optimizing a single performance attribute (e. g., minimizing latency) is not trivial, due to the nature of the configuration systems (e. g., complex landscape and expensive measurement).

Gradient Descent in Materio

no code implementations15 May 2021 Marcus N. Boon, Hans-Christian Ruiz Euler, Tao Chen, Bram van de Ven, Unai Alegre Ibarra, Peter A. Bobbert, Wilfred G. van der Wiel

Here, we demonstrate an efficient and accurate homodyne gradient extraction method for performing gradient descent on the loss function directly in the material system.

LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding

no code implementations16 Apr 2021 Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky

text, table, image) and propose a novel layout-aware multimodal hierarchical framework, LAMPreT, to model the blocks and the whole document.

Residual Model Learning for Microrobot Control

no code implementations1 Apr 2021 Joshua Gruenstein, Tao Chen, Neel Doshi, Pulkit Agrawal

RML provides a general framework for learning from extremely small amounts of interaction data, and our experiments with HAMR clearly demonstrate that RML substantially outperforms existing techniques.

EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation

no code implementations16 Mar 2021 Qihang Yang, Tao Chen, Jiayuan Fan, Ye Lu, Chongyan Zuo, Qinghua Chi

Due to real-time image semantic segmentation needs on power constrained edge devices, there has been an increasing desire to design lightweight semantic segmentation neural network, to simultaneously reduce computational cost and increase inference speed.

Semantic Segmentation

Noncyclic Geometric Quantum Gates with Smooth Paths via Invariant-based Shortcuts

no code implementations1 Feb 2021 Li-Na Ji, Cheng-Yun Ding, Tao Chen, Zheng-Yuan Xue

Here, we propose a scheme to realize geometric quantum gates with noncyclic and nonadiabatic evolution via invariant-based shortcuts, where universal quantum gates can be induced in one step without path mutation and the gate time is also effectively shortened.

Quantum Physics

Learning to Recover from Failures using Memory

no code implementations1 Jan 2021 Tao Chen, Pulkit Agrawal

Learning from past mistakes is a quintessential aspect of intelligence.

Decision Making Meta-Learning

In silico study of the lipophilicity of the follicular route during topical drug delivery

no code implementations4 Dec 2020 Daniel Sebastia-Saez, Panayiotis Kattou, Guoping Lian, Liang Cui, Tao Chen

The results obtained with the follicular gap filled with water give satisfactory quantitative comparison with in vitro experimental data.

Numerical analysis of the strain distribution in skin domes formed upon the application of hypobaric pressure

no code implementations26 Oct 2020 Daniel Sebastia-Saez, Faiza Benaouda, Charlie Lim, Guoping Lian, Stuart Jones, Tao Chen, Liang Cui

Suction cups are widely used in applications such as in measurement of mechanical properties of skin in vivo, in drug delivery devices or in acupuncture treatment.

M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging

no code implementations7 Oct 2020 Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, xiangyang xue

To counter the outbreak of COVID-19, the accurate diagnosis of suspected cases plays a crucial role in timely quarantine, medical treatment, and preventing the spread of the pandemic.

PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection

no code implementations1 Sep 2020 Jingchen Sun, Jiming Chen, Tao Chen, Jiayuan Fan, Shibo He

Vision-based dynamic pedestrian intrusion detection (PID), judging whether pedestrians intrude an area-of-interest (AoI) by a moving camera, is an important task in mobile surveillance.

Feature Compression Intrusion Detection

A Design of Cooperative Overtaking Based on Complex Lane Detection and Collision Risk Estimation

no code implementations11 Aug 2020 Junlan Chen, Ke Wang, Huanhuan Bao, Tao Chen

Cooperative overtaking is believed to have the capability of improving road safety and traffic efficiency by means of the real-time information exchange between traffic participants, including road infrastructures, nearby vehicles and others.

Lane Detection

Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression

no code implementations30 Jun 2020 Feng Zhou, Tao Chen, Baiying Lei

Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high risks can be recovered or not depends, to a large extent, on how early they will be treated appropriately before irreversible consequences are caused to the patients by the virus.


Context-Based Quotation Recommendation

no code implementations17 May 2020 Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth

Our experiments confirm the strong performance of BERT-based methods on this task, which outperform bag-of-words and neural ranking baselines by more than 30% relative across all ranking metrics.

Open-Domain Question Answering

Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition

no code implementations2 May 2020 Yimin Hou, Shuyue Jia, Xiangmin Lun, Shu Zhang, Tao Chen, Fang Wang, Jinglei Lv

The introduced deep feature mining approach can precisely recognize human motion intents from raw EEG signals, which paves the road to translate the EEG based MI recognition to practical BCI systems.

Electroencephalogram (EEG)

JMNet: A joint matting network for automatic human matting

no code implementations14 Apr 2020 Xian Wu, Xiao-Nan Fang, Tao Chen, Fang-Lue Zhang

We propose a novel end-to-end deep learning framework, the Joint Matting Network (JMNet), to automatically generate alpha mattes for human images.

Image Matting Pose Estimation

Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance

1 code implementation7 Apr 2020 Jingjing Chen, Jichao Zhang, Enver Sangineto, Jiayuan Fan, Tao Chen, Nicu Sebe

In this paper, we propose to alleviate these problems by means of a novel gaze redirection framework which exploits both a numerical and a pictorial direction guidance, jointly with a coarse-to-fine learning strategy.

gaze redirection Image Generation

Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses

no code implementations CVPR 2020 Rongliang Wu, Gongjie Zhang, Shijian Lu, Tao Chen

Recent advances in Generative Adversarial Nets (GANs) have shown remarkable improvements for facial expression editing.

How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance

1 code implementation20 Feb 2020 Miqing Li, Tao Chen, Xin Yao

We then conduct an in-depth analysis of quality evaluation indicators/methods and general situations in SBSE, which, together with the identified issues, enables us to codify a methodological guidance for selecting and using evaluation methods in different SBSE scenarios.

Multiobjective Optimization

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study

1 code implementation8 Feb 2020 Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan

Given a tight computational budget, it is more cost-effective to focus on optimizing the parameter configuration of transfer learning algorithms (3) The research on CPDP is far from mature where it is "not difficult" to find a better alternative by making a combination of existing transfer learning and classification techniques.

Transfer Learning

Search-Based Software Engineering for Self-Adaptive Systems: Survey, Disappointments, Suggestions and Opportunities

1 code implementation22 Jan 2020 Tao Chen, Miqing Li, Ke Li, Kalyanmoy Deb

In this paper, we provide the first systematic and comprehensive survey exclusively on SBSE for SASs, covering papers in 27 venues from 7 repositories, which eventually leads to several key statistics from the most notable 74 primary studies in this particular field of research.

Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline

no code implementations20 Jan 2020 Tao Chen, Rami Bahsoon, Xin Yao

To promote engineering self-aware and self-adaptive software systems in a reusable manner, architectural patterns and the related methodology provide an unified solution to handle the recurring problems in the engineering process.

Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

no code implementations17 Jan 2020 Wenxuan Wang, Yanwei Fu, Qiang Sun, Tao Chen, Chenjie Cao, Ziqi Zheng, Guoqiang Xu, Han Qiu, Yu-Gang Jiang, xiangyang xue

Considering the phenomenon of uneven data distribution and lack of samples is common in real-world scenarios, we further evaluate several tasks of few-shot expression learning by virtue of our F2ED, which are to recognize the facial expressions given only few training instances.

Facial Expression Recognition (FER)

A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification

no code implementations25 Oct 2019 Jie He, Tao Chen, Zhijun Zhang

Single-hidden layer feed forward neural networks (SLFNs) are widely used in pattern classification problems, but a huge bottleneck encountered is the slow speed and poor performance of the traditional iterative gradient-based learning algorithms.

General Classification Multi-class Classification

Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective

no code implementations6 Aug 2019 Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis

In this paper, we investigate the problem of age of information (AoI)-aware radio resource management for expected long-term performance optimization in a Manhattan grid vehicle-to-vehicle network.

Decision Making Management +1

SParC: Cross-Domain Semantic Parsing in Context

5 code implementations ACL 2019 Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev

The best model obtains an exact match accuracy of 20. 2% over all questions and less than10% over all interaction sequences, indicating that the cross-domain setting and the con-textual phenomena of the dataset present significant challenges for future research.

Semantic Parsing Text-To-SQL

On Using Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software: An Empirical Comparison

no code implementations25 Mar 2019 Tao Chen

Given the ever-increasing complexity of adaptable software systems and their commonly hidden internal information (e. g., software runs in the public cloud), machine learning based performance modeling has gained momentum for evaluating, understanding and predicting software performance, which facilitates better informed self-adaptations.

BIG-bench Machine Learning

Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors

2 code implementations11 Mar 2019 Artem Molchanov, Tao Chen, Wolfgang Hönig, James A. Preiss, Nora Ayanian, Gaurav S. Sukhatme

Quadrotor stabilizing controllers often require careful, model-specific tuning for safe operation.


Hardware Conditioned Policies for Multi-Robot Transfer Learning

1 code implementation NeurIPS 2018 Tao Chen, Adithyavairavan Murali, Abhinav Gupta

In tasks where knowing the agent dynamics is important for success, we learn an embedding for robot hardware and show that policies conditioned on the encoding of hardware tend to generalize and transfer well.

Industrial Robots Transfer Reinforcement Learning

Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model

no code implementations2 May 2018 Feng Zhou, Shu Kong, Charless Fowlkes, Tao Chen, Baiying Lei

Specifically, we first mapped facial expressions into dimensional measures so that we transformed facial expression analysis from a classification problem to a regression one.

General Classification regression

A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation

no code implementations WS 2016 Hong Jin Kang, Tao Chen, Muthu Kumar Chandrasekaran, Min-Yen Kan

Thus we have also applied word embeddings to the novel task of cross-lingual WSD for Chinese and provide a public dataset for further benchmarking.

Benchmarking Translation +2

Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology

no code implementations16 Aug 2015 Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Redi, Mercan Topkara, Shih-Fu Chang

Our work expressly focuses on the uniqueness of culture and language in relation to human affect, specifically sentiment and emotion semantics, and how they manifest in social multimedia.

Cultural Vocal Bursts Intensity Prediction

Latent Tree Models and Approximate Inference in Bayesian Networks

no code implementations15 Jan 2014 Yi Wang, Nevin L. Zhang, Tao Chen

We propose a novel method for approximate inference in Bayesian networks (BNs).

Sketch2Photo: Internet Image Montage

no code implementations ACM Transactions on Graphics 2009 Tao Chen, Ming-Ming Cheng, Ping Tan, Ariel Shamir, Shi-Min Hu

The composed picture is generated by seamlessly stitching several photographs in agreement with the sketch and text labels; these are found by searching the Internet.

Image Retrieval

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