Search Results for author: Jian Sun

Found 241 papers, 117 papers with code

Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning

1 code implementation9 May 2023 Runqing Wang, Gang Wang, Jian Sun, Fang Deng, Jie Chen

The complex relationships between operations and machines are represented precisely and concisely, for which a dual-attention network (DAN) comprising several interconnected operation message attention blocks and machine message attention blocks is proposed.

Decision Making Job Shop Scheduling +2

A Survey on Out-of-Distribution Detection in NLP

no code implementations5 May 2023 Hao Lang, Yinhe Zheng, Yixuan Li, Jian Sun, Fei Huang, Yongbin Li

Out-of-distribution (OOD) detection is essential for the reliable and safe deployment of machine learning systems in the real world.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

Learning Robust Data-based LQG Controllers from Noisy Data

no code implementations2 May 2023 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

In this work, a data-based formulation for computing the steady-state Kalman gain is proposed based on semi-definite programming (SDP) using some noise-free input-state-output data.

MC-ViViT: Multi-branch Classifier-ViViT to Detect Mild Cognitive Impairment in Older Adults using Facial Videos

no code implementations11 Apr 2023 Jian Sun, Hiroko H. Dodge, Mohammad H. Mahoor

Deep machine learning models including Convolutional Neural Networks (CNN) have been successful in the detection of Mild Cognitive Impairment (MCI) using medical images, questionnaires, and videos.

Keypoint-Guided Optimal Transport

1 code implementation23 Mar 2023 Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu

In this paper, we propose a novel KeyPoint-Guided model by ReLation preservation (KPG-RL) that searches for the optimal matching (i. e., transport plan) guided by the keypoints in OT.

Domain Adaptation Image-to-Image Translation

Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning

no code implementations3 Mar 2023 Liwei Yang, Xiang Gu, Jian Sun

SSDP aims to reduce domain gap by projecting data to the source domain, while MLCL is a learning scheme to learn discriminative and generalizable features on the projected data.

Contrastive Learning Domain Generalization +1

EdgeYOLO: An Edge-Real-Time Object Detector

1 code implementation15 Feb 2023 Shihan Liu, Junlin Zha, Jian Sun, Zhuo Li, Gang Wang

This paper proposes an efficient, low-complexity and anchor-free object detector based on the state-of-the-art YOLO framework, which can be implemented in real time on edge computing platforms.

Data Augmentation Edge-computing

Self-triggered Resilient Stabilization of Linear Systems with Quantized Output

no code implementations14 Feb 2023 Wenjie Liu, Masashi Wakaiki, Jian Sun, Gang Wang, Jie Chen

If, in addition, the transmission protocols at the controller-to-actuator (C-A) and sensor-to-controller (S-C) channels can be adapted, the self-triggered control architecture can be considerably simplified, leveraging a delicate observer-based deadbeat controller to eliminate the need for running the controller in parallel at the encoder side.

Dynamic Grained Encoder for Vision Transformers

1 code implementation NeurIPS 2021 Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng

Specifically, we propose a Dynamic Grained Encoder for vision transformers, which can adaptively assign a suitable number of queries to each spatial region.

Image Classification Language Modelling +2

Towards Generalized Open Information Extraction

no code implementations29 Nov 2022 Bowen Yu, Zhenyu Zhang, Jingyang Li, Haiyang Yu, Tingwen Liu, Jian Sun, Yongbin Li, Bin Wang

Open Information Extraction (OpenIE) facilitates the open-domain discovery of textual facts.

Open Information Extraction

Semi-Supervised Lifelong Language Learning

1 code implementation23 Nov 2022 Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Haiyang Yu, Yongbin Li, Nevin L. Zhang

In this paper, we explore a novel setting, semi-supervised lifelong language learning (SSLL), where a model learns sequentially arriving language tasks with both labeled and unlabeled data.

Transfer Learning

CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation

no code implementations21 Nov 2022 Yinpei Dai, Wanwei He, Bowen Li, Yuchuan Wu, Zheng Cao, Zhongqi An, Jian Sun, Yongbin Li

Practical dialog systems need to deal with various knowledge sources, noisy user expressions, and the shortage of annotated data.

Goal-Oriented Dialog Retrieval

Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach

no code implementations21 Oct 2022 Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun

In addition, sensors are prone to error or missing data due to various kinds of reasons, speeds from these sensors can become highly noisy.


Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots

no code implementations20 Oct 2022 Haomin Fu, Yeqin Zhang, Haiyang Yu, Jian Sun, Fei Huang, Luo Si, Yongbin Li, Cam-Tu Nguyen

This paper introduces Doc2Bot, a novel dataset for building machines that help users seek information via conversations.

dialog state tracking Response Generation

Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification

no code implementations27 Sep 2022 Yeganeh Madadi, Vahid Seydi, Jian Sun, Edward Chaum, Siamak Yousefi

We extend Maximum Mean Discrepancy (MMD), Low-rank coding, and Correlation Alignment (CORAL) to compute the adaptation loss in three base models.

Domain Adaptation Ensemble Learning +1

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation

1 code implementation14 Sep 2022 Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li

To capture the structured dialog semantics, we pre-train the dialog understanding module via a novel tree-induced semi-supervised contrastive learning objective with the help of extra dialog annotations.

Contrastive Learning dialog state tracking +1

Implicit Full Waveform Inversion with Deep Neural Representation

no code implementations8 Sep 2022 Jian Sun, Kristopher Innanen

Compared to FWI, which is sensitive to the initial model, IFWI benefits from the increased degrees of freedom with deep learning optimization, thus allowing to start from a random initialization, which greatly reduces the risk of non-uniqueness and being trapped in local minima.

Bayesian Inference

A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions

no code implementations29 Aug 2022 Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Jinyang Li, Binhua Li, Ruiying Geng, Rongyu Cao, Jian Sun, Luo Si, Fei Huang, Yongbin Li

In recent years, deep neural networks have significantly advanced this task by neural generation models, which automatically learn a mapping function from an input NL question to an output SQL query.

SQL Parsing Text-To-SQL

Data-Driven Control of Distributed Event-Triggered Network Systems

no code implementations22 Aug 2022 Xin Wang, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen

The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems (a. k. a.

Differentiable Architecture Search with Random Features

no code implementations CVPR 2023 Xuanyang Zhang, Yonggang Li, Xiangyu Zhang, Yongtao Wang, Jian Sun

Differentiable architecture search (DARTS) has significantly promoted the development of NAS techniques because of its high search efficiency and effectiveness but suffers from performance collapse.

Neural Architecture Search

Event-triggered Consensus Control of Heterogeneous Multi-agent Systems: Model- and Data-based Analysis

no code implementations1 Aug 2022 Xin Wang, Jian Sun, Gang Wang, Jie Chen

This article deals with model- and data-based consensus control of heterogenous leader-following multi-agent systems (MASs) under an event-triggering transmission scheme.

DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection

1 code implementation22 Jul 2022 Jinrong Yang, Lin Song, Songtao Liu, Weixin Mao, Zeming Li, Xiaoping Li, Hongbin Sun, Jian Sun, Nanning Zheng

Many point-based 3D detectors adopt point-feature sampling strategies to drop some points for efficient inference.

3D Object Detection object-detection

StreamYOLO: Real-time Object Detection for Streaming Perception

no code implementations21 Jul 2022 Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, Jian Sun

In this paper, we explore the performance of real time models on this metric and endow the models with the capacity of predicting the future, significantly improving the results for streaming perception.

Autonomous Driving object-detection +1

Data-driven Self-triggered Control via Trajectory Prediction

no code implementations18 Jul 2022 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

Self-triggered control, a well-documented technique for reducing the communication overhead while ensuring desired system performance, is gaining increasing popularity.

Trajectory Prediction

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration

no code implementations14 Jul 2022 Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li

In this paper, we propose a Layout-aware document-level Information Extraction dataset, LIE, to facilitate the study of extracting both structural and semantic knowledge from visually rich documents (VRDs), so as to generate accurate responses in dialogue systems.

Language Modelling

Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection

2 code implementations6 Jul 2022 HongYu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, Haiyan Yu, Jian Sun

To date, the most powerful semi-supervised object detectors (SS-OD) are based on pseudo-boxes, which need a sequence of post-processing with fine-tuned hyper-parameters.

object-detection Object Detection +2

Unifying Voxel-based Representation with Transformer for 3D Object Detection

1 code implementation1 Jun 2022 Yanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun, Jiaya Jia

To this end, the modality-specific space is first designed to represent different inputs in the voxel feature space.

3D Object Detection object-detection +2

Voxel Field Fusion for 3D Object Detection

1 code implementation CVPR 2022 Yanwei Li, Xiaojuan Qi, Yukang Chen, LiWei Wang, Zeming Li, Jian Sun, Jiaya Jia

In this work, we present a conceptually simple yet effective framework for cross-modality 3D object detection, named voxel field fusion.

3D Object Detection Data Augmentation +1

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems

no code implementations30 May 2022 Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li

In this paper, we present Duplex Conversation, a multi-turn, multimodal spoken dialogue system that enables telephone-based agents to interact with customers like a human.

Data Augmentation Spoken Dialogue Systems

VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis

1 code implementation30 May 2022 Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan Yuille

The Gaussian reconstruction kernels have been proposed by Westover (1990) and studied by the computer graphics community back in the 90s, which gives an alternative representation of object 3D geometry from meshes and point clouds.

Pose Estimation

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

no code implementations25 May 2022 Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Aleš Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Fangya Li, Ruipeng Gang, Chenghua Li, Jinjing Li, Sai Ma, Chenming Liu, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park

The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i. e. solutions can not exceed a given number of operations).

Image Restoration Vocal Bursts Intensity Prediction

Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns

1 code implementation19 May 2022 Tong Nie, Guoyang Qin, Jian Sun

Rapid advances in sensor, wireless communication, cloud computing and data science have brought unprecedented amount of data to assist transportation engineers and researchers in making better decisions.

Imputation Traffic Data Imputation

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

2 code implementations11 May 2022 Yawei Li, Kai Zhang, Radu Timofte, Luc van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu1, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, YuFei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.

Image Super-Resolution

Focal Sparse Convolutional Networks for 3D Object Detection

2 code implementations CVPR 2022 Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, Jiaya Jia

In this paper, we introduce two new modules to enhance the capability of Sparse CNNs, both are based on making feature sparsity learnable with position-wise importance prediction.

3D Object Detection object-detection

BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment

1 code implementation18 Apr 2022 Ziwei Luo, Youwei Li, Shen Cheng, Lei Yu, Qi Wu, Zhihong Wen, Haoqiang Fan, Jian Sun, Shuaicheng Liu

To overcome the challenges in BurstSR, we propose a Burst Super-Resolution Transformer (BSRT), which can significantly improve the capability of extracting inter-frame information and reconstruction.

Burst Image Reconstruction Burst Image Super-Resolution +2

Simple Baselines for Image Restoration

7 code implementations10 Apr 2022 Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, Jian Sun

Although there have been significant advances in the field of image restoration recently, the system complexity of the state-of-the-art (SOTA) methods is increasing as well, which may hinder the convenient analysis and comparison of methods.

Deblurring Image Deblurring +2

Boosting Black-Box Adversarial Attacks with Meta Learning

no code implementations28 Mar 2022 Junjie Fu, Jian Sun, Gang Wang

Extensive experiments demonstrate that our method can not only improve the attack success rates, but also reduces the number of queries compared to other methods.

Adversarial Attack Meta-Learning

FS6D: Few-Shot 6D Pose Estimation of Novel Objects

1 code implementation CVPR 2022 Yisheng He, Yao Wang, Haoqiang Fan, Jian Sun, Qifeng Chen

6D object pose estimation networks are limited in their capability to scale to large numbers of object instances due to the close-set assumption and their reliance on high-fidelity object CAD models.

6D Pose Estimation 6D Pose Estimation using RGB

Real-time Object Detection for Streaming Perception

1 code implementation CVPR 2022 Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, Jian Sun

In this paper, instead of searching trade-offs between accuracy and speed like previous works, we point out that endowing real-time models with the ability to predict the future is the key to dealing with this problem.

 Ranked #1 on Real-Time Object Detection on Argoverse-HD (Full-Stack, Val) (sAP metric, using extra training data)

Autonomous Driving object-detection +1

Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition

2 code implementations22 Mar 2022 Zhisheng Zhong, Jiequan Cui, Zeming Li, Eric Lo, Jian Sun, Jiaya Jia

Given the promising performance of contrastive learning, we propose Rebalanced Siamese Contrastive Mining (ResCom) to tackle imbalanced recognition.

Contrastive Learning Long-tail Learning +1

Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation

1 code implementation CVPR 2022 Zhiyuan Liang, Tiancai Wang, Xiangyu Zhang, Jian Sun, Jianbing Shen

The tree energy loss is effective and easy to be incorporated into existing frameworks by combining it with a traditional segmentation loss.

Semantic Segmentation

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots

1 code implementation Findings (ACL) 2022 Sai Zhang, Yuwei Hu, Yuchuan Wu, Jiaman Wu, Yongbin Li, Jian Sun, Caixia Yuan, Xiaojie Wang

We find some new linguistic phenomena and interactive manners in SSTOD which raise critical challenges of building dialog agents for the task.

 Ranked #1 on SSTOD on SSD_NAME


S$^2$SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers

no code implementations14 Mar 2022 Binyuan Hui, Ruiying Geng, Lihan Wang, Bowen Qin, Bowen Li, Jian Sun, Yongbin Li

The task of converting a natural language question into an executable SQL query, known as text-to-SQL, is an important branch of semantic parsing.

Semantic Parsing Text-To-SQL

Towards Self-Supervised Category-Level Object Pose and Size Estimation

no code implementations6 Mar 2022 Yisheng He, Haoqiang Fan, Haibin Huang, Qifeng Chen, Jian Sun

Instead, we propose a label-free method that learns to enforce the geometric consistency between category template mesh and observed object point cloud under a self-supervision manner.

Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time LTI Systems

no code implementations16 Feb 2022 Xin Wang, Julian Berberich, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen

To this end, we begin by presenting a dynamic event-triggering scheme (ETS) based on periodic sampling, and a discrete-time looped-functional approach, through which a model-based stability condition is derived.


Relieving Long-tailed Instance Segmentation via Pairwise Class Balance

2 code implementations CVPR 2022 Yin-Yin He, Peizhen Zhang, Xiu-Shen Wei, Xiangyu Zhang, Jian Sun

In this paper, we explore to excavate the confusion matrix, which carries the fine-grained misclassification details, to relieve the pairwise biases, generalizing the coarse one.

Instance Segmentation Semantic Segmentation

Learning to Select the Next Reasonable Mention for Entity Linking

no code implementations8 Dec 2021 Jian Sun, Yu Zhou, Chengqing Zong

To address the problem, we propose a novel model, called DyMen, to dynamically adjust the subsequent linking target based on the previously linked entities via reinforcement learning, enabling the model to select a link target that can fully use previously linked information.

Entity Linking Knowledge Graphs +2

Adversarial Reweighting for Partial Domain Adaptation

1 code implementation NeurIPS 2021 Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu

To tackle the challenge of negative domain transfer, we propose a novel Adversarial Reweighting (AR) approach that adversarially learns the weights of source domain data to align the source and target domain distributions, and the transferable deep recognition network is learned on the reweighted source domain data.

Partial Domain Adaptation

Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay

no code implementations NeurIPS 2021 Ruosi Wan, Zhanxing Zhu, Xiangyu Zhang, Jian Sun

Specifically, 1) we introduce the assumptions that can lead to equilibrium state in SMD, and prove equilibrium can be reached in a linear rate regime under given assumptions; 2) we propose ``angular update" as a substitute for effective learning rate to depict the state of SMD, and derive the theoretical value of angular update in equilibrium state; 3) we verify our assumptions and theoretical results on various large-scale computer vision tasks including ImageNet and MSCOCO with standard settings.

XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks

1 code implementation21 Nov 2021 Jian Sun, Ali Pourramezan Fard, Mohammad H. Mahoor

To address the computational burdens of the Dynamic Routing mechanism, this paper proposes new Fully Connected (FC) layers by xnorizing the linear projector outside or inside the Dynamic Routing within the CapsFC layer.

Ranked #11 on Image Classification on MNIST (Accuracy metric)

Binarization Image Classification

Linking-Enhanced Pre-Training for Table Semantic Parsing

no code implementations18 Nov 2021 Bowen Qin, Lihan Wang, Binyuan Hui, Ruiying Geng, Zheng Cao, Min Yang, Jian Sun, Yongbin Li

Recently pre-training models have significantly improved the performance of various NLP tasks by leveraging large-scale text corpora to improve the contextual representation ability of the neural network.

Inductive Bias Language Modelling +2

Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization

no code implementations6 Nov 2021 Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen, Lihua Xie

We prove that local variable estimates generated by the proposed algorithm achieve consensus and are attracted to a neighborhood of the optimal solution in expectation with an $\mathcal{O}(\frac{1}{T}+\frac{1}{\sqrt{T}})$ convergence rate, where $T$ is the total number of iterations.

Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings

no code implementations29 Oct 2021 Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng Li, Chengyu Wang, Hao Wang, Jian Sun

The multi-relational Knowledge Base Question Answering (KBQA) system performs multi-hop reasoning over the knowledge graph (KG) to achieve the answer.

Knowledge Base Question Answering Knowledge Graph Embedding +1

Data-driven Control of Dynamic Event-triggered Systems with Delays

no code implementations25 Oct 2021 Xin Wang, Jian Sun, Julian Berberich, Gang Wang, Frank Allgöwer, Jie Chen

Data-based representations for time-invariant linear systems with known or unknown system input matrices are first developed, along with a novel class of dynamic triggering schemes for sampled-data systems with time delays.

Data-Driven Resilient Predictive Control under Denial-of-Service

no code implementations25 Oct 2021 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

Finally, a numerical example is given to validate the effectiveness of the proposed control method.

DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings

1 code implementation EMNLP 2021 Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si

Learning sentence embeddings from dialogues has drawn increasing attention due to its low annotation cost and high domain adaptability.

Contrastive Learning Semantic Textual Similarity +1

Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better

no code implementations26 Sep 2021 Xuanyang Zhang, Xiangyu Zhang, Jian Sun

Knowledge distillation field delicately designs various types of knowledge to shrink the performance gap between compact student and large-scale teacher.

Knowledge Distillation

Anchor DETR: Query Design for Transformer-Based Object Detection

2 code implementations15 Sep 2021 Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun

Thanks to the query design and the attention variant, the proposed detector that we called Anchor DETR, can achieve better performance and run faster than the DETR with 10$\times$ fewer training epochs.

object-detection Object Detection

Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision

1 code implementation17 Aug 2021 Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, LiWei Wang, Zeming Li, Jian Sun, Jiaya Jia

In particular, Panoptic FCN encodes each object instance or stuff category with the proposed kernel generator and produces the prediction by convolving the high-resolution feature directly.

Panoptic Segmentation Weakly-supervised panoptic segmentation

Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views

1 code implementation ICCV 2021 Xin Wei, Yifei Gong, Fudong Wang, Xing Sun, Jian Sun

In this way, each 3D shape with arbitrary views is represented by a fixed number of canonical view features, which are further aggregated to generate a rich and robust 3D shape representation for shape recognition.

3D Shape Recognition 3D Shape Representation

MMChat: Multi-Modal Chat Dataset on Social Media

1 code implementation LREC 2022 Yinhe Zheng, Guanyi Chen, Xin Liu, Jian Sun

To better investigate this issue, we manually annotate 100K dialogues from MMChat and further filter the corpus accordingly, which yields MMChat-hf.

Dialogue Generation

A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation

1 code implementation26 Jul 2021 Heran Yang, Jian Sun, Liwei Yang, Zongben Xu

Hyper-GAN consists of a pair of hyper-encoder and hyper-decoder to first map from the source contrast to a common feature space, and then further map to the target contrast image.


YOLOX: Exceeding YOLO Series in 2021

32 code implementations18 Jul 2021 Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, Jian Sun

In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX.

Autonomous Driving Real-Time Object Detection

Ill-posed Surface Emissivity Retrieval from Multi-Geometry Hyperspectral Images using a Hybrid Deep Neural Network

no code implementations9 Jul 2021 Fangcao Xu, Jian Sun, Guido Cervone, Mark Salvador

Atmospheric correction errors can significantly alter the spectral signature of the observations, and lead to invalid classifications or target detection.


Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking

no code implementations1 Jun 2021 Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu

Existing dialog state tracking (DST) models are trained with dialog data in a random order, neglecting rich structural information in a dataset.

 Ranked #1 on Multi-domain Dialogue State Tracking on MULTIWOZ 2.1 (using extra training data)

dialog state tracking Multi-domain Dialogue State Tracking

ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging

4 code implementations22 May 2021 Zhen Liu, Wenjie Lin, Xinpeng Li, Qing Rao, Ting Jiang, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu

In this paper, we present an attention-guided deformable convolutional network for hand-held multi-frame high dynamic range (HDR) imaging, namely ADNet.

Face Alignment Vocal Bursts Intensity Prediction

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion

1 code implementation27 Apr 2021 Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si

Moreover, modeling and inferring complex relations of one-to-many (1-N), many-to-one (N-1), and many-to-many (N-N) by previous knowledge graph completion approaches requires high model complexity and a large amount of training instances.

Few-Shot Learning Relational Reasoning

Points as Queries: Weakly Semi-supervised Object Detection by Points

1 code implementation CVPR 2021 Liangyu Chen, Tong Yang, Xiangyu Zhang, Wei zhang, Jian Sun

We propose a novel point annotated setting for the weakly semi-supervised object detection task, in which the dataset comprises small fully annotated images and large weakly annotated images by points.

object-detection Object Detection +1

Learning to Jointly Deblur, Demosaick and Denoise Raw Images

no code implementations13 Apr 2021 Thomas Eboli, Jian Sun, Jean Ponce

We address the problem of non-blind deblurring and demosaicking of noisy raw images.

Deblurring Demosaicking +1

OTA: Optimal Transport Assignment for Object Detection

2 code implementations CVPR 2021 Zheng Ge, Songtao Liu, Zeming Li, Osamu Yoshie, Jian Sun

Recent advances in label assignment in object detection mainly seek to independently define positive/negative training samples for each ground-truth (gt) object.

object-detection Object Detection

Resilient Control under Quantization and Denial-of-Service: Co-designing a Deadbeat Controller and Transmission Protocol

no code implementations22 Mar 2021 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

When both input and output channels are subject to DoS attacks and quantization, the proposed structure is shown able to decouple the encoding schemes for input, output, and estimated output signals.


You Only Look One-level Feature

6 code implementations CVPR 2021 Qiang Chen, Yingming Wang, Tong Yang, Xiangyu Zhang, Jian Cheng, Jian Sun

From the perspective of optimization, we introduce an alternative way to address the problem instead of adopting the complex feature pyramids - {\em utilizing only one-level feature for detection}.

object-detection Object Detection

Training Networks in Null Space of Feature Covariance for Continual Learning

1 code implementation CVPR 2021 Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu

To balance plasticity and stability of network in continual learning, in this paper, we propose a novel network training algorithm called Adam-NSCL, which sequentially optimizes network parameters in the null space of previous tasks.

Continual Learning

Improving Text-to-SQL with Schema Dependency Learning

no code implementations7 Mar 2021 Binyuan Hui, Xiang Shi, Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu

In this paper, we present the Schema Dependency guided multi-task Text-to-SQL model (SDSQL) to guide the network to effectively capture the interactions between questions and schemas.


FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation

3 code implementations CVPR 2021 Yisheng He, Haibin Huang, Haoqiang Fan, Qifeng Chen, Jian Sun

Moreover, at the output representation stage, we designed a simple but effective 3D keypoints selection algorithm considering the texture and geometry information of objects, which simplifies keypoint localization for precise pose estimation.

6D Pose Estimation Representation Learning

Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment

no code implementations4 Feb 2021 Manzhu Yu, Fangcao Xu, Weiming Hu, Jian Sun, Guido Cervone

Meanwhile, by using IoT observations, the spatial resolution of air temperature predictions is significantly improved.

Neural Architecture Search with Random Labels

1 code implementation CVPR 2021 Xuanyang Zhang, Pengfei Hou, Xiangyu Zhang, Jian Sun

In this paper, we investigate a new variant of neural architecture search (NAS) paradigm -- searching with random labels (RLNAS).

Neural Architecture Search

Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning

1 code implementation19 Jan 2021 Zeming Li, Songtao Liu, Jian Sun

The teacher's weight is a momentum update of the student, and the teacher's BN statistics is a momentum update of those in history.

Self-Supervised Learning

RepVGG: Making VGG-style ConvNets Great Again

20 code implementations CVPR 2021 Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun

We present a simple but powerful architecture of convolutional neural network, which has a VGG-like inference-time body composed of nothing but a stack of 3x3 convolution and ReLU, while the training-time model has a multi-branch topology.

Image Classification Semantic Segmentation

Domain-Free Adversarial Splitting for Domain Generalization

no code implementations1 Jan 2021 Xiang Gu, Jiasun Feng, Jian Sun, Zongben Xu

In this framework, we model the domain generalization as a learning problem that enforces the learner to be able to generalize well for any train/val subsets splitting of the training dataset.

Domain Generalization Meta-Learning

Implicit Feature Pyramid Network for Object Detection

no code implementations25 Dec 2020 Tiancai Wang, Xiangyu Zhang, Jian Sun

In this paper, we present an implicit feature pyramid network (i-FPN) for object detection.

object-detection Object Detection

Efficient Human Pose Estimation by Learning Deeply Aggregated Representations

no code implementations13 Dec 2020 Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, GuanAn Wang, Yan Huang, Liang Wang, Erjin Zhou, Tieniu Tan, Jian Sun

Instead, we focus on exploiting multi-scale information from layers with different receptive-field sizes and then making full of use this information by improving the fusion method.

Pose Estimation

Fine-Grained Dynamic Head for Object Detection

1 code implementation NeurIPS 2020 Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng

To this end, we propose a fine-grained dynamic head to conditionally select a pixel-level combination of FPN features from different scales for each instance, which further releases the ability of multi-scale feature representation.

object-detection Object Detection

Fully Convolutional Networks for Panoptic Segmentation

6 code implementations CVPR 2021 Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, LiWei Wang, Zeming Li, Jian Sun, Jiaya Jia

In this paper, we present a conceptually simple, strong, and efficient framework for panoptic segmentation, called Panoptic FCN.

 Ranked #1 on Panoptic Segmentation on Mapillary val (PQth metric)

Panoptic Segmentation

Dual Attention Network for Cross-lingual Entity Alignment

no code implementations COLING 2020 Jian Sun, Yu Zhou, Chengqing Zong

The hierarchical attention adaptively aggregates the low-hierarchy and the high-hierarchy information, which is beneficial to balance the neighborhood information of counterpart entities and distinguish non-counterpart entities with similar structures.

Entity Alignment Graph Attention +1

UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning

2 code implementations CVPR 2021 Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun

By integrating these two components together, our method achieves the best performance for unsupervised optical flow learning on multiple leading benchmarks, including MPI-SIntel, KITTI 2012 and KITTI 2015.

Optical Flow Estimation

Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis

no code implementations NeurIPS 2020 Gang Wang, Songtao Lu, Georgios Giannakis, Gerald Tesauro, Jian Sun

The present contribution deals with decentralized policy evaluation in multi-agent Markov decision processes using temporal-difference (TD) methods with linear function approximation for scalability.

Self-EMD: Self-Supervised Object Detection without ImageNet

no code implementations27 Nov 2020 Songtao Liu, Zeming Li, Jian Sun

Our Faster R-CNN (ResNet50-FPN) baseline achieves 39. 8% mAP on COCO, which is on par with the state of the art self-supervised methods pre-trained on ImageNet.

object-detection Object Detection +1

Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis

no code implementations ECCV 2020 Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun

In this work, we propose a novel deep network for point clouds by incorporating positional information of points as inputs while yielding rotation-invariance.

Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track

no code implementations6 Oct 2020 Zeming Li, Yuchen Ma, Yukang Chen, Xiangyu Zhang, Jian Sun

In this report, we present our object detection/instance segmentation system, MegDetV2, which works in a two-pass fashion, first to detect instances then to obtain segmentation.

Instance Segmentation object-detection +2

EqCo: Equivalent Rules for Self-supervised Contrastive Learning

1 code implementation5 Oct 2020 Benjin Zhu, Junqiang Huang, Zeming Li, Xiangyu Zhang, Jian Sun

In this paper, we propose EqCo (Equivalent Rules for Contrastive Learning) to make self-supervised learning irrelevant to the number of negative samples in the contrastive learning framework.

Contrastive Learning Self-Supervised Learning

Activate or Not: Learning Customized Activation

4 code implementations CVPR 2021 Ningning Ma, Xiangyu Zhang, Ming Liu, Jian Sun

We present a simple, effective, and general activation function we term ACON which learns to activate the neurons or not.

object-detection Object Detection +1

Multi-Frequency Multi-Scenario Millimeter Wave MIMO Channel Measurements and Modeling for B5G Wireless Communication Systems

no code implementations28 Jul 2020 Jie Huang, Cheng-Xiang Wang, Hengtai Chang, Jian Sun, Xiqi Gao

Millimeter wave (mmWave) bands have been utilized for the fifth generation (5G) communication systems and will no doubt continue to be deployed for beyond 5G (B5G).

A Non-Stationary VVLC MIMO Channel Model for Street Corner Scenarios

no code implementations28 Jul 2020 Qingshan Chen, Cheng-Xiang Wang, Jian Sun, Wensheng Zhang, Qiuming Zhu

The study of the underlying VLC channel is the basis for designing the VLC communication system.

A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges

no code implementations26 Jul 2020 Bin Fu, Yunqi Qiu, Chengguang Tang, Yang Li, Haiyang Yu, Jian Sun

Question Answering (QA) over Knowledge Base (KB) aims to automatically answer natural language questions via well-structured relation information between entities stored in knowledge bases.

Information Retrieval Question Answering +2

WeightNet: Revisiting the Design Space of Weight Networks

2 code implementations ECCV 2020 Ningning Ma, Xiangyu Zhang, Jiawei Huang, Jian Sun

WeightNet is easy and memory-conserving to train, on the kernel space instead of the feature space.

Funnel Activation for Visual Recognition

6 code implementations ECCV 2020 Ningning Ma, Xiangyu Zhang, Jian Sun

We present a conceptually simple but effective funnel activation for image recognition tasks, called Funnel activation (FReLU), that extends ReLU and PReLU to a 2D activation by adding a negligible overhead of spatial condition.

Scene Generation Semantic Segmentation

BorderDet: Border Feature for Dense Object Detection

2 code implementations ECCV 2020 Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun

In this paper, We propose a simple and efficient operator called Border-Align to extract "border features" from the extreme point of the border to enhance the point feature.

Dense Object Detection object-detection

Learning from Manipulable Signals

no code implementations17 Jul 2020 Mehmet Ekmekci, Leandro Gorno, Lucas Maestri, Jian Sun, Dong Wei

The principal learns about the agent's type from a noisy performance measure, which can be manipulated by the agent via a costly and hidden action.

LabelEnc: A New Intermediate Supervision Method for Object Detection

1 code implementation ECCV 2020 Miao Hao, Yitao Liu, Xiangyu Zhang, Jian Sun

In this paper we propose a new intermediate supervision method, named LabelEnc, to boost the training of object detection systems.

object-detection Object Detection

AutoAssign: Differentiable Label Assignment for Dense Object Detection

2 code implementations7 Jul 2020 Benjin Zhu, Jian-Feng Wang, Zhengkai Jiang, Fuhang Zong, Songtao Liu, Zeming Li, Jian Sun

During training, to both satisfy the prior distribution of data and adapt to category characteristics, we present Center Weighting to adjust the category-specific prior distributions.

Dense Object Detection object-detection

End-to-end Interpretable Learning of Non-blind Image Deblurring

1 code implementation ECCV 2020 Thomas Eboli, Jian Sun, Jean Ponce

Non-blind image deblurring is typically formulated as a linear least-squares problem regularized by natural priors on the corresponding sharp picture's gradients, which can be solved, for example, using a half-quadratic splitting method with Richardson fixed-point iterations for its least-squares updates and a proximal operator for the auxiliary variable updates.

Blind Image Deblurring Image Deblurring

Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven

no code implementations16 Jun 2020 Qingtao Zhao, Jennie Si, Jian Sun

In this paper time-driven learning refers to the machine learning method that updates parameters in a prediction model continuously as new data arrives.

Reinforcement Learning (RL)

Structured and Localized Image Restoration

no code implementations16 Jun 2020 Thomas Eboli, Alex Nowak-Vila, Jian Sun, Francis Bach, Jean Ponce, Alessandro Rudi

We present a novel approach to image restoration that leverages ideas from localized structured prediction and non-linear multi-task learning.

Image Restoration Multi-Task Learning +1

Spherical Motion Dynamics: Learning Dynamics of Neural Network with Normalization, Weight Decay, and SGD

no code implementations15 Jun 2020 Ruosi Wan, Zhanxing Zhu, Xiangyu Zhang, Jian Sun

In this work, we comprehensively reveal the learning dynamics of neural network with normalization, weight decay (WD), and SGD (with momentum), named as Spherical Motion Dynamics (SMD).

Joint Multi-Dimension Pruning via Numerical Gradient Update

no code implementations18 May 2020 Zechun Liu, Xiangyu Zhang, Zhiqiang Shen, Zhe Li, Yichen Wei, Kwang-Ting Cheng, Jian Sun

To tackle these three naturally different dimensions, we proposed a general framework by defining pruning as seeking the best pruning vector (i. e., the numerical value of layer-wise channel number, spacial size, depth) and construct a unique mapping from the pruning vector to the pruned network structures.

Angle-based Search Space Shrinking for Neural Architecture Search

1 code implementation ECCV 2020 Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan, Xiangyu Zhang, Yichen Wei, Qingyi Gu, Jian Sun

Comprehensive experiments show that ABS can dramatically enhance existing NAS approaches by providing a promising shrunk search space.

Neural Architecture Search

Dynamic Scale Training for Object Detection

4 code implementations26 Apr 2020 Yukang Chen, Peizhen Zhang, Zeming Li, Yanwei Li, Xiangyu Zhang, Lu Qi, Jian Sun, Jiaya Jia

We propose a Dynamic Scale Training paradigm (abbreviated as DST) to mitigate scale variation challenge in object detection.

Instance Segmentation Model Optimization +3

Attentive Normalization for Conditional Image Generation

1 code implementation CVPR 2020 Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia

Traditional convolution-based generative adversarial networks synthesize images based on hierarchical local operations, where long-range dependency relation is implicitly modeled with a Markov chain.

Conditional Image Generation Semantic correspondence +2

Learning Human-Object Interaction Detection using Interaction Points

1 code implementation CVPR 2020 Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun

Human-object interaction (HOI) detection strives to localize both the human and an object as well as the identification of complex interactions between them.

Human-Object Interaction Detection Keypoint Detection +1

Dynamic Region-Aware Convolution

no code implementations CVPR 2021 Jin Chen, Xijun Wang, Zichao Guo, Xiangyu Zhang, Jian Sun

More gracefully, our DRConv transfers the increasing channel-wise filters to spatial dimension with learnable instructor, which not only improve representation ability of convolution, but also maintains computational cost and the translation-invariance as standard convolution dose.

Face Recognition General Classification +2

Learning Dynamic Routing for Semantic Segmentation

1 code implementation CVPR 2020 Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun

To demonstrate the superiority of the dynamic property, we compare with several static architectures, which can be modeled as special cases in the routing space.

Semantic Segmentation

Detection in Crowded Scenes: One Proposal, Multiple Predictions

3 code implementations CVPR 2020 Xuangeng Chu, Anlin Zheng, Xiangyu Zhang, Jian Sun

We propose a simple yet effective proposal-based object detector, aiming at detecting highly-overlapped instances in crowded scenes.

Object Detection Pedestrian Detection

High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

2 code implementations CVPR 2020 Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun

When aligning two groups of local features from two images, we view it as a graph matching problem and propose a cross-graph embedded-alignment (CGEA) layer to jointly learn and embed topology information to local features, and straightly predict similarity score.

Graph Matching Person Re-Identification

PointINS: Point-based Instance Segmentation

no code implementations13 Mar 2020 Lu Qi, Yi Wang, Yukang Chen, Yingcong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia

In this paper, we explore the mask representation in instance segmentation with Point-of-Interest (PoI) features.

Instance Segmentation Object Detection +2

Learning Delicate Local Representations for Multi-Person Pose Estimation

4 code implementations ECCV 2020 Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, Jian Sun

To tackle this problem, we propose an efficient attention mechanism - Pose Refine Machine (PRM) to make a trade-off between local and global representations in output features and further refine the keypoint locations.

Keypoint Detection Multi-Person Pose Estimation

Gauss-Newton Unrolled Neural Networks and Data-driven Priors for Regularized PSSE with Robustness

no code implementations3 Mar 2020 Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun

Numerical tests using real load data on the IEEE $118$-bus benchmark system showcase the improved estimation and robustness performance of the proposed scheme compared with several state-of-the-art alternatives.

Image Denoising Rolling Shutter Correction

A Big Data Enabled Channel Model for 5G Wireless Communication Systems

no code implementations28 Feb 2020 Jie Huang, Cheng-Xiang Wang, Lu Bai, Jian Sun, Yang Yang, Jie Li, Olav Tirkkonen, Ming-Tuo Zhou

This paper investigates various applications of big data analytics, especially machine learning algorithms in wireless communications and channel modeling.

BIG-bench Machine Learning

Isotropic All-electric Spin analyzer based on a quantum ring with spin-orbit coupling

no code implementations4 Feb 2020 Shenglin Peng, Wenchen Luo, Jian Sun, Ai-Min Guo, Fangping Ouyang, Tapash Chakraborty

Here we propose an isotropic all electrical spin analyzer in a quantum ring with spin-orbit coupling by analytically and numerically modeling how the charge transmission rates depend on the polarization of the incident spin.

Mesoscale and Nanoscale Physics

Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization

1 code implementation ICLR 2020 Junjie Yan, Ruosi Wan, Xiangyu Zhang, Wei zhang, Yichen Wei, Jian Sun

Therefore many modified normalization techniques have been proposed, which either fail to restore the performance of BN completely, or have to introduce additional nonlinear operations in inference procedure and increase huge consumption.

Learning Neural Surrogate Model for Warm-Starting Bayesian Optimization

no code implementations ICLR 2020 Haotian Zhang, Jian Sun, Zongben Xu

Bayesian optimization is an effective tool to optimize black-box functions and popular for hyper-parameter tuning in machine learning.

Bayesian Optimization

Neural Diffusion Distance for Image Segmentation

no code implementations NeurIPS 2019 Jian Sun, Zongben Xu

To compute high-resolution diffusion distance or segmentation mask, we design an up-sampling strategy by feature-attentional interpolation which can be learned when training spec-diff-net.

Image Segmentation Weakly supervised Semantic Segmentation +1