Search Results for author: Fan Wang

Found 89 papers, 37 papers with code

TopoGAN: A Topology-Aware Generative Adversarial Network

no code implementations ECCV 2020 Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen

We show in experiments that our method generates synthetic images with realistic topology.

PLATO-KAG: Unsupervised Knowledge-Grounded Conversation via Joint Modeling

no code implementations EMNLP (NLP4ConvAI) 2021 Xinxian Huang, Huang He, Siqi Bao, Fan Wang, Hua Wu, Haifeng Wang

Large-scale conversation models are turning to leveraging external knowledge to improve the factual accuracy in response generation.

Response Generation

New Threats against Object Detector with Non-local Block

no code implementations ECCV 2020 Yi Huang, Fan Wang, Adams Wai-Kin Kong, Kwok-Yan Lam

The experiments show that the universal patches are able to mislead the detector with greater probabilities.

Computer Vision

SINC: Service Information Augmented Open-Domain Conversation

no code implementations28 Jun 2022 Han Zhou, Xinchao Xu, Wenquan Wu, ZhengYu Niu, Hua Wu, Siqi Bao, Fan Wang, Haifeng Wang

Generative open-domain dialogue systems can benefit from external knowledge, but the lack of external knowledge resources and the difficulty in finding relevant knowledge limit the development of this technology.

Active Source Free Domain Adaptation

no code implementations22 May 2022 Fan Wang, Zhongyi Han, Zhiyan Zhang, Yilong Yin

We then propose minimum happy points learning (MHPL) to actively explore and exploit MH points.

Domain Adaptation

HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer

no code implementations17 May 2022 Shanzhuo Zhang, Zhiyuan Yan, Yueyang Huang, Lihang Liu, Donglong He, Wei Wang, Xiaomin Fang, Xiaonan Zhang, Fan Wang, Hua Wu, Haifeng Wang

Additionally, the pre-trained model provided by H-ADMET can be fine-tuned to generate new and customised ADMET endpoints, meeting various demands of drug research and development requirements.

Drug Discovery Self-Supervised Learning +1

Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection

no code implementations15 May 2022 Fan Wang, Adams Wai-Kin Kong

In this paper, we first show that the expected Kendall's rank correlation is positively correlated to cosine similarity and then indicate that the direction of attribution is the key to attribution robustness.

Adversarial Robustness

An empirical equilibrium model of formal and informal credit markets in developing countries

no code implementations26 Apr 2022 Fan Wang

I develop and estimate a dynamic equilibrium model of risky entrepreneurs' borrowing and savings decisions incorporating both formal and local-informal credit markets.

Optimal allocations to heterogeneous agents with an application to stimulus checks

no code implementations8 Apr 2022 Vegard M. Nygaard, Bent E. Sørensen, Fan Wang

A planner allocates discrete transfers of size $D_g$ to $N$ heterogeneous groups labeled $g$ and has CES preferences over the resulting outcomes, $H_g(D_g)$.

Structure-aware Protein Self-supervised Learning

no code implementations6 Apr 2022 Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou

Furthermore, we propose to leverage the available protein language model pretrained on protein sequences to enhance the self-supervised learning.

Language Modelling Representation Learning +1

Early life height and weight production functions with endogenous energy and protein inputs

no code implementations6 Apr 2022 Esteban Puentes, Fan Wang, Jere R. Behrman, Flávio Cunha, John Hoddinott, John A. Maluccio, Linda S. Adair, Judith B. Borja, Reynaldo Martorell, Aryeh D. Stein

We examine effects of protein and energy intakes on height and weight growth for children between 6 and 24 months old in Guatemala and the Philippines.

You are what your parents expect: Height and local reference points

no code implementations5 Apr 2022 Fan Wang, Esteban Puentes, Jere R. Behrman, Flávio Cunha

We explore the exogenous variation in reference height produced by a protein-supplementation experiment in Guatemala to estimate our model's parameters.

Fewer, better pathways for all? Intersectional impacts of rural school consolidation in China's minority regions

no code implementations4 Apr 2022 Emily Hannum, Fan Wang

Much more than Han youth, ethnic minority youth were negatively affected by closure, in terms of its impact on both educational attainment and written Mandarin facility.

Same environment, stratified impacts? Air pollution, extreme temperatures, and birth weight in south China

no code implementations1 Apr 2022 Xiaoying Liu, Jere R. Behrman, Emily Hannum, Fan Wang, Qingguo Zhao

This paper investigates whether associations between birth weight and prenatal ambient environmental conditions--pollution and extreme temperatures--differ by 1) maternal education; 2) children's innate health; and 3) interactions between these two.

Estimating the Effects of Educational System Consolidation: The Case of China's Rural School Closure Initiative

no code implementations31 Mar 2022 Emily Hannum, Xiaoying Liu, Fan Wang

We estimate the impact of educational infrastructure consolidation on educational attainment using the case of China's rural primary school closure policies in the early 2000s.

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

1 code implementation CVPR 2022 Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, Hao Li

The 2D-3D coordinates and corresponding weights are treated as intermediate variables learned by minimizing the KL divergence between the predicted and target pose distribution.

3D Object Detection 6D Pose Estimation using RGB +2

Controllable energy angular spectrum method

no code implementations18 Mar 2022 Fan Wang, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito

A controllable energy method, which considers the undersampling issue of the transfer function and valid spectral energy of a source signal, is proposed to implement angular spectrum diffraction calculation in near and far fields.

Information retrieval for label noise document ranking by bag sampling and group-wise loss

no code implementations12 Mar 2022 Chunyu Li, Jiajia Ding, Xing Hu, Fan Wang

To fit bag sampling well, after query and document are encoded, the global features of each group are extracted by convolutional layer and max-pooling to improve the model's resistance to the impact of labeling noise, finally, calculate the LCE group-wise loss.

Document Ranking Information Retrieval +1

Detecting Owner-member Relationship with Graph Convolution Network in Fisheye Camera System

no code implementations28 Jan 2022 Zizhang Wu, Jason Wang, Tianhao Xu, Fan Wang

The owner-member relationship between wheels and vehicles contributes significantly to the 3D perception of vehicles, especially in embedded environments.

Graph Attention

Image-to-Video Re-Identification via Mutual Discriminative Knowledge Transfer

no code implementations21 Jan 2022 Pichao Wang, Fan Wang, Hao Li

During the KD process, the TCL loss transfers the local structure, exploits the higher order information, and mitigates the misalignment of the heterogeneous output of teacher and student networks.

Knowledge Distillation Transfer Learning

Network-ELAA Beamforming and Coverage Analysis for eMBB/URLLC in Spatially Non-Stationary Rician Channels

no code implementations19 Jan 2022 Jinfei Wang, Yi Ma, Na Yi, Rahim Tafazolli, Fan Wang

Finally, it is shown that the network-ELAA can offer significant coverage extension (50% or more in most of cases) when comparing with the single-AP scenario.

Lightweight Object-level Topological Semantic Mapping and Long-term Global Localization based on Graph Matching

no code implementations16 Jan 2022 Fan Wang, Chaofan Zhang, Fulin Tang, Hongkui Jiang, Yihong Wu, Yong liu

In this paper, we present a novel lightweight object-level mapping and localization method with high accuracy and robustness.

Graph Matching

Exploring Domain-Invariant Parameters for Source Free Domain Adaptation

no code implementations CVPR 2022 Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin

In contrast, we provide a fascinating insight: rather than attempting to learn domain-invariant representations, it is better to explore the domain-invariant parameters of the source model.

Domain Adaptation Privacy Preserving

Memory-Augmented Deep Conditional Unfolding Network for Pan-Sharpening

1 code implementation CVPR 2022 Gang Yang, Man Zhou, Keyu Yan, Aiping Liu, Xueyang Fu, Fan Wang

Pan-sharpening aims to obtain high-resolution multispectral (MS) images for remote sensing systems and deep learning-based methods have achieved remarkable success.

Denoising

TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification

1 code implementation28 Dec 2021 Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Guiguang Ding

In TAGPerson, we extract information from target scenes and use them to control our parameterized rendering process to generate target-aware synthetic images, which would hold a smaller gap to the real images in the target domain.

Person Re-Identification

ELSA: Enhanced Local Self-Attention for Vision Transformer

1 code implementation23 Dec 2021 Jingkai Zhou, Pichao Wang, Fan Wang, Qiong Liu, Hao Li, Rong Jin

Self-attention is powerful in modeling long-range dependencies, but it is weak in local finer-level feature learning.

Image Classification Instance Segmentation +2

Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition

1 code implementation CVPR 2022 Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin

Decoupling spatiotemporal representation refers to decomposing the spatial and temporal features into dimension-independent factors.

Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction

2 code implementations9 Dec 2021 Yang Xue, Zijing Liu, Xiaomin Fang, Fan Wang

However, neither sequences nor contact maps can fully characterize structures and functions of the proteins, which are closely related to the PPI problem.

Drug Discovery Natural Language Processing

TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation

1 code implementation2 Dec 2021 Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin

Unsupervised semantic segmentation aims to obtain high-level semantic representation on low-level visual features without manual annotations.

Self-Supervised Learning Unsupervised Semantic Segmentation

CELLS: Cost-Effective Evolution in Latent Space for Goal-Directed Molecular Generation

no code implementations30 Nov 2021 ZhiYuan Chen, Xiaomin Fang, Fan Wang, Xiaotian Fan, Hua Wu, Haifeng Wang

We adopt a pre-trained molecular generative model to map the latent and observation spaces, taking advantage of the large-scale unlabeled molecules to learn chemical knowledge.

Drug Discovery

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

1 code implementation23 Nov 2021 Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin

We first investigate self-supervised learning (SSL) methods with Vision Transformer (ViT) pretrained on unlabelled person images (the LUPerson dataset), and empirically find it significantly surpasses ImageNet supervised pre-training models on ReID tasks.

 Ranked #1 on Unsupervised Person Re-Identification on Market-1501 (using extra training data)

Self-Supervised Learning Unsupervised Domain Adaptation +1

Amendable Generation for Dialogue State Tracking

1 code implementation EMNLP (NLP4ConvAI) 2021 Xin Tian, Liankai Huang, Yingzhan Lin, Siqi Bao, Huang He, Yunyi Yang, Hua Wu, Fan Wang, Shuqi Sun

In this paper, we propose a novel Amendable Generation for Dialogue State Tracking (AG-DST), which contains a two-pass generation process: (1) generating a primitive dialogue state based on the dialogue of the current turn and the previous dialogue state, and (2) amending the primitive dialogue state from the first pass.

Dialogue State Tracking Multi-domain Dialogue State Tracking +1

Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Generalized Tasks

no code implementations29 Sep 2021 Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Yang Cao, Yu Kang, Haifeng Wang

While artificial neural networks (ANNs) have been widely adopted in machine learning, researchers are increasingly obsessed by the gaps between ANNs and natural neural networks (NNNs).

Meta-Learning

PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation

3 code implementations20 Sep 2021 Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhihua Wu, Zhen Guo, Hua Lu, Xinxian Huang, Xin Tian, Xinchao Xu, Yingzhan Lin, ZhengYu Niu

To explore the limit of dialogue generation pre-training, we present the models of PLATO-XL with up to 11 billion parameters, trained on both Chinese and English social media conversations.

Dialogue Generation

Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion

1 code implementation14 Sep 2021 Haojie Shi, Bo Zhou, Hongsheng Zeng, Fan Wang, Yueqiang Dong, Jiangyong Li, Kang Wang, Hao Tian, Max Q. -H. Meng

However, due to the complex nonlinear dynamics in quadrupedal robots and reward sparsity, it is still difficult for RL to learn effective gaits from scratch, especially in challenging tasks such as walking over the balance beam.

reinforcement-learning

CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

1 code implementation ICLR 2022 Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin

Along with the pseudo labels, a weight-sharing triple-branch transformer framework is proposed to apply self-attention and cross-attention for source/target feature learning and source-target domain alignment, respectively.

Unsupervised Domain Adaptation

ADER:Adapting between Exploration and Robustness for Actor-Critic Methods

no code implementations8 Sep 2021 Bo Zhou, Kejiao Li, Hongsheng Zeng, Fan Wang, Hao Tian

Combining off-policy reinforcement learning methods with function approximators such as neural networks has been found to lead to overestimation of the value function and sub-optimal solutions.

Continuous Control

Scaled ReLU Matters for Training Vision Transformers

no code implementations8 Sep 2021 Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin

In this paper, we further investigate this problem and extend the above conclusion: only early convolutions do not help for stable training, but the scaled ReLU operation in the \textit{convolutional stem} (\textit{conv-stem}) matters.

Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning

no code implementations8 Sep 2021 Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Jie Fu, Yang Cao, Yu Kang, Haifeng Wang

In contrast, biological neural networks (BNNs) can adapt to various new tasks by continually updating their connection weights based on their observations, which is aligned with the paradigm of learning effective learning rules in addition to static parameters, e. g., meta-learning.

Meta-Learning

Exploring the Quality of GAN Generated Images for Person Re-Identification

no code implementations23 Aug 2021 Yiqi Jiang, Weihua Chen, Xiuyu Sun, Xiaoyu Shi, Fan Wang, Hao Li

Recently, GAN based method has demonstrated strong effectiveness in generating augmentation data for person re-identification (ReID), on account of its ability to bridge the gap between domains and enrich the data variety in feature space.

Person Re-Identification Unsupervised Domain Adaptation

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity

1 code implementation21 Jul 2021 Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong

To this end, we propose a structure-aware interactive graph neural network (SIGN) which consists of two components: polar-inspired graph attention layers (PGAL) and pairwise interactive pooling (PiPool).

Drug Discovery Graph Attention

Graph Convolution for Re-ranking in Person Re-identification

1 code implementation5 Jul 2021 Yuqi Zhang, Qian Qi, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin

In this work, we propose a graph-based re-ranking method to improve learned features while still keeping Euclidean distance as the similarity metric.

Person Re-Identification Re-Ranking

Action Set Based Policy Optimization for Safe Power Grid Management

no code implementations29 Jun 2021 Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang, Hao Tian

At the planning stage, the search space is limited to the action set produced by the policy.

Decision Making

KVT: k-NN Attention for Boosting Vision Transformers

no code implementations28 May 2021 Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin

A key component in vision transformers is the fully-connected self-attention which is more powerful than CNNs in modelling long range dependencies.

Computer Vision

An Empirical Study of Vehicle Re-Identification on the AI City Challenge

1 code implementation20 May 2021 Hao Luo, Weihua Chen, Xianzhe Xu, Jianyang Gu, Yuqi Zhang, Chong Liu, Yiqi Jiang, Shuting He, Fan Wang, Hao Li

We mainly focus on four points, i. e. training data, unsupervised domain-adaptive (UDA) training, post-processing, model ensembling in this challenge.

Re-Ranking Vehicle Re-Identification

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones

1 code implementation14 May 2021 Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen

Multi-Target Multi-Camera Tracking has a wide range of applications and is the basis for many advanced inferences and predictions.

Vehicle Re-Identification

TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer

1 code implementation13 May 2021 Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen

Characterization of breast parenchyma on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging task owing to the complexity of underlying tissue structures.

A Unified Pre-training Framework for Conversational AI

1 code implementation6 May 2021 Siqi Bao, Bingjin Chen, Huang He, Xin Tian, Han Zhou, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Yingzhan Lin

In this work, we explore the application of PLATO-2 on various dialogue systems, including open-domain conversation, knowledge grounded dialogue, and task-oriented conversation.

Chatbot Interactive Evaluation of Dialog +1

Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation

no code implementations30 Mar 2021 Shuning Chang, Pichao Wang, Fan Wang, Hao Li, Jiashi Feng

Temporal action proposal generation (TAPG) is a fundamental and challenging task in video understanding, especially in temporal action detection.

Action Detection Temporal Action Proposal Generation +1

Molecular Representation Learning by Leveraging Chemical Information

1 code implementation NA 2021 Weibin Li, Shanzhuo Zhang, Lihang Liu, Zhengjie Huang, Jieqiong Lei, Xiaomin Fang, Shikun Feng, Fan Wang

As graph neural networks have achieved great success in many domains, some studies apply graph neural networks to molecular property prediction and regard each molecule as a graph.

Graph Property Prediction Molecular Property Prediction +1

Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning

1 code implementation15 Feb 2021 Weijia Zhang, Hao liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong

Electric Vehicle (EV) has become a preferable choice in the modern transportation system due to its environmental and energy sustainability.

Multi-agent Reinforcement Learning reinforcement-learning

Learning to Select External Knowledge with Multi-Scale Negative Sampling

1 code implementation3 Feb 2021 Huang He, Hua Lu, Siqi Bao, Fan Wang, Hua Wu, ZhengYu Niu, Haifeng Wang

The Track-1 of DSTC9 aims to effectively answer user requests or questions during task-oriented dialogues, which are out of the scope of APIs/DB.

Response Generation

1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking

1 code implementation20 Jan 2021 Fei Du, Bo Xu, Jiasheng Tang, Yuqi Zhang, Fan Wang, Hao Li

We extend the classical tracking-by-detection paradigm to this tracking-any-object task.

 Ranked #1 on Multi-Object Tracking on TAO (using extra training data)

Multi-Object Tracking

Multi-object Tracking with a Hierarchical Single-branch Network

no code implementations6 Jan 2021 Fan Wang, Lei Luo, En Zhu, Siwei Wang, Jun Long

Recent Multiple Object Tracking (MOT) methods have gradually attempted to integrate object detection and instance re-identification (Re-ID) into a united network to form a one-stage solution.

Multi-Object Tracking Multiple Object Tracking +3

1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification

1 code implementation25 Dec 2020 Jianyang Gu, Hao Luo, Weihua Chen, Yiqi Jiang, Yuqi Zhang, Shuting He, Fan Wang, Hao Li, Wei Jiang

Considering the large gap between the source domain and target domain, we focused on solving two biases that influenced the performance on domain adaptive pedestrian Re-ID and proposed a two-stage training procedure.

Domain Adaptation

Besov and Triebel-Lizorkin Spaces on Spaces of Homogeneous Type with Applications to Boundedness of Calderón-Zygmund Operators

no code implementations24 Dec 2020 Fan Wang, Yongsheng Han, Ziyi He, Dachun Yang

In this article, the authors introduce Besov and Triebel-Lizorkin spaces on spaces of homogeneous type in the sense of Coifman and Weiss, prove that these (in)homogeneous Besov and Triebel-Lizorkin spaces are independent of the choices of both exp-ATIs (or exp-IATIs) and underlying spaces of distributions, and give some basic properties of these spaces.

Functional Analysis Analysis of PDEs Classical Analysis and ODEs Primary 46E35, Secondary 42B25, 42B20, 42B35, 30L99

Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction

1 code implementation17 Dec 2020 Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou

The hierarchical attentive aggregation can capture spatial dependencies among atoms, as well as fuse the position-enhanced information with the capability of discriminating multiple spatial relations among atoms.

Drug Discovery Graph Attention +1

Heterochromatic nonlinear optical responses in upconversion nanoparticles for point spread function engineering

no code implementations12 Dec 2020 Chaohao Chen, Baolei Liu, Yongtao Liu, Jiayan Liao, Xuchen Shan, Fan Wang, Dayong Jin

Point spread function (PSF) engineering of the emitter can code higher spatial frequency information of an image to break diffraction limit but suffer from the complexed optical systems.

Optics

Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors

no code implementations7 Dec 2020 Fan Wang, Jiangxin Yang, Yanlong Cao, Yanpeng Cao, Michael Ying Yang

Image Super-Resolution (SR) provides a promising technique to enhance the image quality of low-resolution optical sensors, facilitating better-performing target detection and autonomous navigation in a wide range of robotics applications.

3D Reconstruction Autonomous Navigation +1

Infrared small target detection based on isotropic constraint under complex background

no code implementations24 Nov 2020 Fan Wang

Infrared search and tracking (IRST) system has been widely concerned and applied in the area of national defence.

Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model

no code implementations9 Jul 2020 Haojie Liu, Ming Lu, Zhan Ma, Fan Wang, Zhihuang Xie, Xun Cao, Yao Wang

Over the past two decades, traditional block-based video coding has made remarkable progress and spawned a series of well-known standards such as MPEG-4, H. 264/AVC and H. 265/HEVC.

Motion Compensation MS-SSIM +2

SUPER: A Novel Lane Detection System

no code implementations14 May 2020 Pingping Lu, Chen Cui, Shaobing Xu, Huei Peng, Fan Wang

AI-based lane detection algorithms were actively studied over the last few years.

Lane Detection Scene Understanding +1

PSDet: Efficient and Universal Parking Slot Detection

no code implementations12 May 2020 Zizhang Wu, Weiwei Sun, Man Wang, Xiaoquan Wang, Lizhu Ding, Fan Wang

\romannumeral2, Expert knowledge for parking slot detection is under-estimated.

A Quantitative Analytical Model for Predicting and Optimizing the Rate Performance of Battery Cells

1 code implementation20 Apr 2020 Fan Wang, Ming Tang

An important objective of designing lithium-ion rechargeable battery cells is to maximize their rate performance without compromising the energy density, which is mainly achieved through computationally expensive numerical simulations at present.

Materials Science Applied Physics

Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion

no code implementations10 Dec 2019 Bo Zhou, Hongsheng Zeng, Fan Wang, Yunxiang Li, Hao Tian

By integrating dynamics models into model-free reinforcement learning (RL) methods, model-based value expansion (MVE) algorithms have shown a significant advantage in sample efficiency as well as value estimation.

reinforcement-learning

MBCAL: Sample Efficient and Variance Reduced Reinforcement Learning for Recommender Systems

no code implementations6 Nov 2019 Fan Wang, Xiaomin Fang, Lihang Liu, Hao Tian, Zhiming Peng

The proposed method takes advantage of the characteristics of recommender systems and draws ideas from the model-based reinforcement learning method for higher sample efficiency.

Model-based Reinforcement Learning Recommendation Systems +1

Risk Averse Value Expansion for Sample Efficient and Robust Policy Learning

no code implementations25 Sep 2019 Bo Zhou, Fan Wang, Hongsheng Zeng, Hao Tian

A promising direction is to combine model-based reinforcement learning with model-free reinforcement learning, such as model-based value expansion(MVE).

Model-based Reinforcement Learning reinforcement-learning

Hyperspectral City V1.0 Dataset and Benchmark

no code implementations24 Jul 2019 Shaodi You, Erqi Huang, Shuaizhe Liang, Yongrong Zheng, Yunxiang Li, Fan Wang, Sen Lin, Qiu Shen, Xun Cao, Diming Zhang, Yuanjiang Li, Yu Li, Ying Fu, Boxin Shi, Feng Lu, Yinqiang Zheng, Robby T. Tan

This document introduces the background and the usage of the Hyperspectral City Dataset and the benchmark.

Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection

1 code implementation5 Jun 2019 Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu

In this paper, we propose a multi-mapping mechanism to better capture the one-to-many relationship, where multiple mapping modules are employed as latent mechanisms to model the semantic mappings from an input post to its diverse responses.

Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment

1 code implementation ACL 2019 Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, Hua Wu

In this paper, a novel Generation-Evaluation framework is developed for multi-turn conversations with the objective of letting both participants know more about each other.

Informativeness reinforcement-learning

Learning to Select Knowledge for Response Generation in Dialog Systems

1 code implementation13 Feb 2019 Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu

Specifically, a posterior distribution over knowledge is inferred from both utterances and responses, and it ensures the appropriate selection of knowledge during the training process.

Response Generation

Sequential Evaluation and Generation Framework for Combinatorial Recommender System

1 code implementation1 Feb 2019 Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian

On the one hand of this framework, an evaluation model is trained to evaluate the expected overall utility, by fully considering the user, item information and the correlations among the co-exposed items.

Recommendation Systems

High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking

1 code implementation2 Aug 2018 Fan Wang, Sach Mukherjee, Sylvia Richardson, Steven M. Hill

Our empirical results complement existing theory and provide a resource to compare methods across a range of scenarios and metrics.

Variable Selection

Seeds Cleansing CNMF for Spatiotemporal Neural Signals Extraction of Miniscope Imaging Data

1 code implementation3 Apr 2017 Jinghao Lu, Chunyuan Li, Fan Wang

Miniscope calcium imaging is increasingly being used to monitor large populations of neuronal activities in freely behaving animals.

Neurons and Cognition Quantitative Methods

Integrating Dashcam Views Through Inter-Video Mapping

no code implementations ICCV 2015 Hsin-I Chen, Yi-Ling Chen, Wei-Tse Lee, Fan Wang, Bing-Yu Chen

In this paper, an inter-video mapping approach is proposed to integrate video footages from two dashcams installed on a preceding and its following vehicle to provide the illusion that the driver of the following vehicle can see-through the preceding one.

Motion Estimation

3D-Assisted Feature Synthesis for Novel Views of an Object

no code implementations ICCV 2015 Hao Su, Fan Wang, Eric Yi, Leonidas J. Guibas

Comparing two images from different views has been a long-standing challenging problem in computer vision, as visual features are not stable under large view point changes.

Computer Vision Image Retrieval

3D-Assisted Image Feature Synthesis for Novel Views of an Object

no code implementations26 Nov 2014 Hao Su, Fan Wang, Li Yi, Leonidas Guibas

In this paper, given a single input image of an object, we synthesize new features for other views of the same object.

Computer Vision Image Retrieval

Unsupervised Multi-Class Joint Image Segmentation

no code implementations CVPR 2014 Fan Wang, Qi-Xing Huang, Maks Ovsjanikov, Leonidas J. Guibas

Joint segmentation of image sets is a challenging problem, especially when there are multiple objects with variable appearance shared among the images in the collection and the set of objects present in each particular image is itself varying and unknown.

Semantic Segmentation

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