Search Results for author: Yi Jiang

Found 60 papers, 30 papers with code

Does green innovation crowd out other innovation of firms? Based on the extended CDM model and unconditional quantile regressions

no code implementations29 Jan 2024 Yi Jiang, Richard S. J. Tol

In the era of sustainability, firms grapple with the decision of how much to invest in green innovation and how it influences their economic trajectory.

Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss

no code implementations23 Jan 2024 Xin Feng, Yi Jiang, Jia-Xian Qin, Lai-Ping Zhang, Xiao-Gang Deng

The wave equation is an important physical partial differential equation, and in recent years, deep learning has shown promise in accelerating or replacing traditional numerical methods for solving it.

Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding

1 code implementation14 Dec 2023 Guoqing Chao, Yi Jiang, Dianhui Chu

In this work, we proposed a novel Incomplete Contrastive Multi-View Clustering method with high-confidence guiding (ICMVC).

Clustering Contrastive Learning +2

Provable Reinforcement Learning for Networked Control Systems with Stochastic Packet Disordering

no code implementations5 Dec 2023 Wenqian Xue, Yi Jiang, Frank L. Lewis, Bosen Lian

This paper formulates a stochastic optimal control problem for linear networked control systems featuring stochastic packet disordering with a unique stabilizing solution certified.

Q-Learning reinforcement-learning

Recognize Any Regions

1 code implementation2 Nov 2023 Haosen Yang, Chuofan Ma, Bin Wen, Yi Jiang, Zehuan Yuan, Xiatian Zhu

Understanding the semantics of individual regions or patches within unconstrained images, such as in open-world object detection, represents a critical yet challenging task in computer vision.

object-detection Object Recognition +1

Linkages among the Foreign Exchange, Stock, and Bond Markets in Japan and the United States

no code implementations4 Oct 2023 Yi Jiang, Shohei Shimizu

Our study contributes to a better understanding of the linkages among financial markets in the analyzed data period by supporting the existence of linkages between Japan and the US for the same financial markets and among FX, stock, and bond markets, thus highlighting the importance of leveraging causal discovery methods in the financial domain.

Causal Discovery

Coordinates in low-dimensional cell shape-space discriminate migration dynamics from single static cell images

no code implementations28 Sep 2023 Xiuxiu He, Kuangcai Chen, Ning Fang, Yi Jiang

Cell shape has long been used to discern cell phenotypes and states, but the underlying premise has not been quantitatively tested.

Exploring Transformers for Open-world Instance Segmentation

no code implementations ICCV 2023 Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo

Open-world instance segmentation is a rising task, which aims to segment all objects in the image by learning from a limited number of base-category objects.

Contrastive Learning Open-World Instance Segmentation +1

Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge

no code implementations5 May 2023 Jiawei Liu, Zi Xiong, Yi Jiang, Yongqiang Ma, Wei Lu, Yong Huang, Qikai Cheng

Inspired by recent advancement in prompt learning, in this paper, we propose the Mix Prompt Tuning (MPT), which is a semi-supervised method to alleviate the dependence on annotated data and improve the performance of multi-granularity academic function recognition tasks with a small number of labeled examples.


Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

1 code implementation10 Apr 2023 Iksung Kang, Yi Jiang, Mirko Holler, Manuel Guizar-Sicairos, A. F. J. Levi, Jeffrey Klug, Stefan Vogt, George Barbastathis

Two scanning operations are required: ptychographic to recover the complex transmissivity of the specimen; and rotation of the specimen to acquire multiple projections covering the 3D spatial frequency domain.

Self-Supervised Learning

Multi-Level Contrastive Learning for Dense Prediction Task

1 code implementation4 Apr 2023 Qiushan Guo, Yizhou Yu, Yi Jiang, Jiannan Wu, Zehuan Yuan, Ping Luo

We extend our pretext task to supervised pre-training, which achieves a similar performance to self-supervised learning.

Contrastive Learning Self-Supervised Learning

InstMove: Instance Motion for Object-centric Video Segmentation

1 code implementation CVPR 2023 Qihao Liu, Junfeng Wu, Yi Jiang, Xiang Bai, Alan Yuille, Song Bai

A common solution is to use optical flow to provide motion information, but essentially it only considers pixel-level motion, which still relies on appearance similarity and hence is often inaccurate under occlusion and fast movement.

Object Optical Flow Estimation +3

Universal Instance Perception as Object Discovery and Retrieval

1 code implementation CVPR 2023 Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, Huchuan Lu

All instance perception tasks aim at finding certain objects specified by some queries such as category names, language expressions, and target annotations, but this complete field has been split into multiple independent subtasks.

 Ranked #1 on Referring Expression Segmentation on RefCoCo val (using extra training data)

Described Object Detection Generalized Referring Expression Comprehension +15

Optimal Beamforming for MIMO DFRC Systems with Transmit Covariance Constraints

no code implementations6 Mar 2023 Chenhao Yang, Xin Wang, Wei Ni, Yi Jiang

Under this approach, we reveal that the optimal receive beamforming is given by the classic MMSE one and the optimal transmit beamforming design amounts to solving an orthogonal Procrustes problem, thereby allowing for closed-form solutions to subproblems in each BCD step and fast convergence of the proposed algorithm to a high-quality (near-optimal) overall beamforming design.

Segment Every Reference Object in Spatial and Temporal Spaces

no code implementations ICCV 2023 Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo

In this work, we end the current fragmented situation and propose UniRef to unify the three reference-based object segmentation tasks with a single architecture.

Image Segmentation Object +5

Prototype matching: children's preference for forming scientific concepts

no code implementations3 Dec 2022 Zhong Wang, Yi Zhang, Yi Jiang

Children have an obvious preference for "prototype matching" in scientific concept learning, which is not only obviously deviated from the current general understanding of science education that emphasizes discovery/inquiry construction, but also points out that there may be a priority relationship among various ways of concept organization (such as definition theory, prototype theory, schema theory, etc.).

Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery

no code implementations3 Dec 2022 Chao Pang, Yu Wang, Yi Jiang, Ruheng Wang, Ran Su, Leyi Wei

Moreover, case study results on targeted molecule generation for the SARS-CoV-2 main protease (Mpro) show that by integrating molecule docking into our model as chemical priori, we successfully generate new small molecules with desired drug-like properties for the Mpro, potentially accelerating the de novo design of Covid-19 drugs.

Benchmarking Representation Learning

Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time

1 code implementation29 Nov 2022 Iksung Kang, Ziling Wu, Yi Jiang, YuDong Yao, Junjing Deng, Jeffrey Klug, Stefan Vogt, George Barbastathis

Noninvasive X-ray imaging of nanoscale three-dimensional objects, e. g. integrated circuits (ICs), generally requires two types of scanning: ptychographic, which is translational and returns estimates of complex electromagnetic field through ICs; and tomographic scanning, which collects complex field projections from multiple angles.

Learning Object-Language Alignments for Open-Vocabulary Object Detection

1 code implementation27 Nov 2022 Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai

In this paper, we propose a novel open-vocabulary object detection framework directly learning from image-text pair data.

Object object-detection +3

RIS-Assisted Self-Interference Mitigation for In-Band Full-Duplex Transceivers

no code implementations22 Nov 2022 Wei zhang, Yi Jiang, Bin Zhou

The wireless in-band full-duplex (IBFD) technology can in theory double the system capacity over the conventional frequency division duplex (FDD) or time-division duplex (TDD) alternatives.


The Runner-up Solution for YouTube-VIS Long Video Challenge 2022

no code implementations18 Nov 2022 Junfeng Wu, Yi Jiang, Qihao Liu, Xiang Bai, Song Bai

This technical report describes our 2nd-place solution for the ECCV 2022 YouTube-VIS Long Video Challenge.

Contrastive Learning Instance Segmentation +2

iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations

2 code implementations Genome Biology 2022 Junru Jin, Yingying Yu, Ruheng Wang, Xin Zeng, Chao Pang, Yi Jiang, Zhongshen Li, Yutong Dai, Ran Su, Quan Zou, Kenta Nakai, Leyi Wei

In this study, we propose iDNA-ABF, a multi-scale deep biological language learning model that enables the interpretable prediction of DNA methylations based on genomic sequences only.

Benchmarking Text Classification

Periodic Artifact Reduction in Fourier transforms of Full Field Atomic Resolution Images

no code implementations14 Oct 2022 Robert Hovden, Yi Jiang, Huolin L. Xin, Lena F. Kourkoutis

In this method, edge artifacts are reduced by subtracting a smooth background that solves Poisson's equation with boundary conditions set by the image's edges.

Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders

1 code implementation9 Oct 2022 Haosen Yang, Deng Huang, Bin Wen, Jiannan Wu, Hongxun Yao, Yi Jiang, Xiatian Zhu, Zehuan Yuan

As a result, our model can extract effectively both static appearance and dynamic motion spontaneously, leading to superior spatiotemporal representation learning capability.

Representation Learning Semantic Segmentation +2

Rethinking Resolution in the Context of Efficient Video Recognition

1 code implementation26 Sep 2022 Chuofan Ma, Qiushan Guo, Yi Jiang, Zehuan Yuan, Ping Luo, Xiaojuan Qi

Our key finding is that the major cause of degradation is not information loss in the down-sampling process, but rather the mismatch between network architecture and input scale.

Knowledge Distillation Video Recognition

Deep learning at the edge enables real-time streaming ptychographic imaging

no code implementations20 Sep 2022 Anakha V Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke, Ryan Chard, YuDong Yao, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara

Coherent microscopy techniques provide an unparalleled multi-scale view of materials across scientific and technological fields, from structural materials to quantum devices, from integrated circuits to biological cells.

Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data

no code implementations28 Jul 2022 Hai Yang, Yuhang Sheng, Yi Jiang, Xiaoyang Fang, Dongdong Li, Jing Zhang, Zhe Wang

In addition, Subtype-Former also achieved outstanding results in pan-cancer subtyping, which can help analyze the commonalities and differences across various cancer types at the molecular level.

Survival Analysis

In Defense of Online Models for Video Instance Segmentation

1 code implementation21 Jul 2022 Junfeng Wu, Qihao Liu, Yi Jiang, Song Bai, Alan Yuille, Xiang Bai

In recent years, video instance segmentation (VIS) has been largely advanced by offline models, while online models gradually attracted less attention possibly due to their inferior performance.

Ranked #9 on Video Instance Segmentation on YouTube-VIS validation (using extra training data)

Contrastive Learning Instance Segmentation +5

Towards Grand Unification of Object Tracking

1 code implementation14 Jul 2022 Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu

We present a unified method, termed Unicorn, that can simultaneously solve four tracking problems (SOT, MOT, VOS, MOTS) with a single network using the same model parameters.

Multi-Object Tracking Multi-Object Tracking and Segmentation +3

Physics-Inspired Unsupervised Classification for Region of Interest in X-Ray Ptychography

no code implementations29 Jun 2022 Dergan Lin, Yi Jiang, Junjing Deng, Zichao Wendy Di

X-ray ptychography allows for large fields to be imaged at high resolution at the cost of additional computational expense due to the large volume of data.


Constructions of Polyphase Golay Complementary Arrays

no code implementations20 Apr 2022 Cheng Du, Yi Jiang

For the binary GCM quads, we conjecture that the feasible sizes are arbitrary, and verify for sizes within 78 $\times$ 78 and other less densely distributed sizes.

Nonlinear Kalman Filter Using Cramer Rao Bound

no code implementations7 Apr 2022 Xin Liang, Yi Jiang

This paper studies the optimal state estimation for a dynamic system, whose transfer function can be nonlinear and the input noise can be of arbitrary distribution.

Autonomous Driving Position

MetaFormer: A Unified Meta Framework for Fine-Grained Recognition

2 code implementations5 Mar 2022 Qishuai Diao, Yi Jiang, Bin Wen, Jia Sun, Zehuan Yuan

Fine-Grained Visual Classification(FGVC) is the task that requires recognizing the objects belonging to multiple subordinate categories of a super-category.

 Ranked #1 on Fine-Grained Image Classification on NABirds (using extra training data)

Attribute Fine-Grained Image Classification

Online Learning of Trellis Diagram Using Neural Network for Robust Detection and Decoding

no code implementations22 Feb 2022 Jie Yang, Qinghe Du, Yi Jiang

As an interesting by-product, we propose an enhancement to the BLE standard by introducing a bit interleaver to its physical layer; the resultant improvement of the receiver sensitivity can make it a better fit for some Internet of Things (IoT) communications.

Model-Based Neural Network and Its Application to Line Spectral Estimation

no code implementations14 Feb 2022 Yi Jiang, Tianyi Zhang, Wei zhang

Owing to the same layered form as an ANN, a MNN can also be optimized using the back-propagation (BP) algorithm.

Language as Queries for Referring Video Object Segmentation

1 code implementation CVPR 2022 Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo

Referring video object segmentation (R-VOS) is an emerging cross-modal task that aims to segment the target object referred by a language expression in all video frames.

Object Object Tracking +5

SeqFormer: Sequential Transformer for Video Instance Segmentation

2 code implementations15 Dec 2021 Junfeng Wu, Yi Jiang, Song Bai, Wenqing Zhang, Xiang Bai

Nevertheless, we observe that a stand-alone instance query suffices for capturing a time sequence of instances in a video, but attention mechanisms shall be done with each frame independently.

Instance Segmentation Semantic Segmentation +1

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

3 code implementations CVPR 2022 Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo

A typical pipeline for multi-object tracking (MOT) is to use a detector for object localization, and following re-identification (re-ID) for object association.

Multi-Object Tracking Object +3

Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation

1 code implementation10 Nov 2021 Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan

Vision-and-Language Navigation (VLN) is a task that an agent is required to follow a language instruction to navigate to the goal position, which relies on the ongoing interactions with the environment during moving.

Navigate Vision and Language Navigation

Objects in Semantic Topology

no code implementations ICLR 2022 Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu

A more realistic object detection paradigm, Open-World Object Detection, has arisen increasing research interests in the community recently.

Incremental Learning Language Modelling +3

Hybrid Interference Mitigation Using Analog Prewhitening

no code implementations4 Mar 2021 Wei zhang, Yi Jiang, Bin Zhou, Die Hu

This paper proposes a novel scheme for mitigating strong interferences, which is applicable to various wireless scenarios, including full-duplex wireless communications and uncoordinated heterogenous networks.

Robust Output Regulation and Reinforcement Learning-based Output Tracking Design for Unknown Linear Discrete-Time Systems

no code implementations21 Jan 2021 Ci Chen, Lihua Xie, Yi Jiang, Kan Xie, Shengli Xie

To remove such a requirement, an off-policy reinforcement learning algorithm is proposed using only the measured output data along the trajectories of the system and the reference output.

Dynamical Systems

TransTrack: Multiple Object Tracking with Transformer

2 code implementations31 Dec 2020 Peize Sun, Jinkun Cao, Yi Jiang, Rufeng Zhang, Enze Xie, Zehuan Yuan, Changhu Wang, Ping Luo

In this work, we propose TransTrack, a simple but efficient scheme to solve the multiple object tracking problems.

Ranked #5 on Multi-Object Tracking on SportsMOT (using extra training data)

Multi-Object Tracking Multiple Object Tracking with Transformer +3

Optimising SARS-CoV-2 pooled testing strategies on social networks for low-resource settings

no code implementations31 Dec 2020 Karina I Mazzitello, Yi Jiang, Constancio M Arizmendi

We propose a network approach to determine the optimal low resources setting oriented pool testing strategies that identifies infected individuals in a small number of tests and few rounds of testing, at low prevalence of the virus.

Physics and Society Social and Information Networks

What Makes for End-to-End Object Detection?

1 code implementation10 Dec 2020 Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, Ping Luo

We identify that classification cost in matching cost is the main ingredient: (1) previous detectors only consider location cost, (2) by additionally introducing classification cost, previous detectors immediately produce one-to-one prediction during inference.

General Classification Object +2

Transferring Orbital Angular Momentum to an Electron Beam Reveals Toroidal and Chiral Order

no code implementations8 Dec 2020 Kayla X. Nguyen, Yi Jiang, Michael C. Cao, Prafull Purohit, Ajay K. Yadav, Pablo García-Fernández, Mark W. Tate, Celesta S. Chang, Pablo Aguado-Puente, Jorge Íñiguez, Fernando Gomez-Ortiz, Sol M. Gruner, Javier Junquera, Lane W. Martin, Ramamoorthy Ramesh, D. A. Muller

We find that the presence of an electric toroidal moment in a ferro-rotational phase transfers a measurable torque and orbital angular momentum to the electron beam.

Materials Science Applied Physics

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

6 code implementations CVPR 2021 Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei LI, Zehuan Yuan, Changhu Wang, Ping Luo

In our method, however, a fixed sparse set of learned object proposals, total length of $N$, are provided to object recognition head to perform classification and location.

Object object-detection +2

Same data may bring conflict results: a caution to use the disruptive index

no code implementations15 Sep 2020 Guoqiang Liang, Yi Jiang, Haiyan Hou

In the last two decades, scholars have designed various types of bibliographic related indicators to identify breakthrough-class academic achievements.

Learning to Segment the Tail

1 code implementation CVPR 2020 Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang

Real-world visual recognition requires handling the extreme sample imbalance in large-scale long-tailed data.

Few-Shot Learning Incremental Learning

Sampling Limits for Electron Tomography with Sparsity-exploiting Reconstructions

no code implementations4 Apr 2019 Yi Jiang, Elliot Padgett, Robert Hovden, David A. Muller

Popularized by compressed sensing, sparsity-exploiting algorithms have been applied to experimental ET data and show promise for improving reconstruction quality or reducing the total beam dose applied to a specimen.

Electron Tomography

Removing Stripes, Scratches, and Curtaining with Non-Recoverable Compressed Sensing

no code implementations23 Jan 2019 Jonathan Schwartz, Yi Jiang, Yongjie Wang, Anthony Aiello, Pallab Bhattacharya, Hui Yuan, Zetian Mi, Nabil Bassim, Robert Hovden

Highly-directional image artifacts such as ion mill curtaining, mechanical scratches, or image striping from beam instability degrade the interpretability of micrographs.

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