Search Results for author: Jin Zhang

Found 61 papers, 15 papers with code

Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons

1 code implementation16 Jul 2015 Dohyung Park, Joe Neeman, Jin Zhang, Sujay Sanghavi, Inderjit S. Dhillon

In this paper we consider the collaborative ranking setting: a pool of users each provides a small number of pairwise preferences between $d$ possible items; from these we need to predict preferences of the users for items they have not yet seen.

Collaborative Filtering Collaborative Ranking +1

Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding

no code implementations5 Dec 2018 Ying Shen, Qiang Zhang, Jin Zhang, Jiyue Huang, Yuming Lu, Kai Lei

However, in electronic medical records (EMR), the texts containing sentences are shorter than that in general domain, which leads to the lack of semantic features and the ambiguity of semantic.

Clustering General Classification +3

Fast Botnet Detection From Streaming Logs Using Online Lanczos Method

no code implementations19 Dec 2018 Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang, Erjia Yan

Botnet, a group of coordinated bots, is becoming the main platform of malicious Internet activities like DDOS, click fraud, web scraping, spam/rumor distribution, etc.

USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

no code implementations17 Apr 2019 Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga

The following mixed scheme is used for training/testing: (i) training on either each individual dataset or multiple prostate MRI datasets and (ii) testing on all three datasets with all possible training/testing combinations.

Task-Oriented Convex Bilevel Optimization with Latent Feasibility

no code implementations6 Jul 2019 Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

This paper firstly proposes a convex bilevel optimization paradigm to formulate and optimize popular learning and vision problems in real-world scenarios.

Bilevel Optimization

Investigating Customization Strategies and Convergence Behaviors of Task-specific ADMM

no code implementations24 Sep 2019 Risheng Liu, Pan Mu, Jin Zhang

Alternating Direction Method of Multiplier (ADMM) has been a popular algorithmic framework for separable optimization problems with linear constraints.

A TWO-STAGE FRAMEWORK FOR MATHEMATICAL EXPRESSION RECOGNITION

no code implementations25 Sep 2019 Jin Zhang, Weipeng Ming, PengFei Liu

In the first stage, this method locates and recognizes the math symbols of input image by object detection algorithm.

Math object-detection +2

Testing and verification of neural-network-based safety-critical control software: A systematic literature review

no code implementations5 Oct 2019 Jin Zhang, Jingyue Li

Objective: With the increase in studies on the T&V of NN-based control software in safety-critical domains, it is important to systematically review the state-of-the-art T&V methodologies, to classify approaches and tools that are invented, and to identify challenges and gaps for future studies.

A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections

no code implementations3 Dec 2019 Cong Xu, Min Yang, Jin Zhang

The implementation of conventional sparse principal component analysis (SPCA) on high-dimensional data sets has become a time consuming work.

Research on a New Convolutional Neural Network Model Combined with Random Edges Adding

no code implementations17 Mar 2020 Xuanyu Shu, Jin Zhang, Sen Tian, Sheng Chen, Lingyu Chen

Based on the idea of small world network, a random edge adding algorithm is proposed to improve the performance of convolutional neural network model.

Multi-modal Datasets for Super-resolution

no code implementations13 Apr 2020 Haoran Li, Weihong Quan, Meijun Yan, Jin Zhang, Xiaoli Gong, Jin Zhou

However, due to the variety of image degradation types in the real world, models trained on single-modal simulation datasets do not always have good robustness and generalization ability in different degradation scenarios.

Super-Resolution

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton

no code implementations ICML 2020 Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

In recent years, a variety of gradient-based first-order methods have been developed to solve bi-level optimization problems for learning applications.

Meta-Learning

Engineering Three Dimensional Moiré Flat Bands

no code implementations17 Dec 2020 Lede Xian, Ammon Fischer, Martin Claassen, Jin Zhang, Angel Rubio, Dante M. Kennes

For many two dimensional van der Waals materials, twisting two adjacent layers with respect to each other leads to flat electronic bands in the two corresponding spatial directions -- a notion sometimes referred to as twistronics as it enables a wealth of physical phenomena.

Materials Science Statistical Mechanics Strongly Correlated Electrons Superconductivity

Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond

1 code implementation27 Jan 2021 Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin

Bi-Level Optimization (BLO) is originated from the area of economic game theory and then introduced into the optimization community.

Meta-Learning Neural Architecture Search

A General Descent Aggregation Framework for Gradient-based Bi-level Optimization

1 code implementation16 Feb 2021 Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

In this work, we formulate BLOs from an optimistic bi-level viewpoint and establish a new gradient-based algorithmic framework, named Bi-level Descent Aggregation (BDA), to partially address the above issues.

Meta-Learning

Temporal Consistency Two-Stream CNN for Human Motion Prediction

no code implementations11 Apr 2021 Jin Tang, Jin Zhang, Jianqin Yin

In this paper, we propose a novel temporal fusion (TF) module to fuse the two-stream joints' information to predict human motion, including a temporal concatenation and a reinforcement trajectory spatial-temporal (TST) block, specifically designed to keep prediction temporal consistency.

Human motion prediction motion prediction +2

Parallel Scale-wise Attention Network for Effective Scene Text Recognition

no code implementations25 Apr 2021 Usman Sajid, Michael Chow, Jin Zhang, Taejoon Kim, Guanghui Wang

To address these issues, we propose a new multi-scale and encoder-based attention network for text recognition that performs the multi-scale FE and VA in parallel.

Scene Text Recognition

Active Hierarchical Exploration with Stable Subgoal Representation Learning

1 code implementation ICLR 2022 Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu, Chongjie Zhang

Although GCHRL possesses superior exploration ability by decomposing tasks via subgoals, existing GCHRL methods struggle in temporally extended tasks with sparse external rewards, since the high-level policy learning relies on external rewards.

Continuous Control Hierarchical Reinforcement Learning +1

Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order

no code implementations14 Jun 2021 Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang, Xin Yao

To overcome the above shortcomings of relaxation, we propose a novel idea of simultaneously estimating the frequencies and model order by means of the atomic $l_0$ norm.

Multiobjective Optimization

Multiobjective Bilevel Evolutionary Approach for Off-Grid Direction-of-Arrival Estimation

no code implementations14 Jun 2021 Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang, Xin Yao

We formulate a multiobjective off-grid DOA estimation model to realize this idea, by which the source number can be automatically identified together with DOA estimation.

Direction of Arrival Estimation

A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization

no code implementations15 Jun 2021 Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

Bi-level optimization model is able to capture a wide range of complex learning tasks with practical interest.

Serial-EMD: Fast Empirical Mode Decomposition Method for Multi-dimensional Signals Based on Serialization

no code implementations22 Jun 2021 Jin Zhang, Fan Feng, Pere Marti-Puig, Cesar F. Caiafa, Zhe Sun, Feng Duan, Jordi Solé-Casals

Empirical mode decomposition (EMD) has developed into a prominent tool for adaptive, scale-based signal analysis in various fields like robotics, security and biomedical engineering.

Time Series Analysis

Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm

no code implementations19 Sep 2021 Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang, Xin Yao

To investigate the number and distribution of local optima, we conduct a fitness landscape analysis on the sum rate maximization problems.

Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond

1 code implementation NeurIPS 2021 Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang

In particular, by introducing an auxiliary as initialization to guide the optimization dynamics and designing a pessimistic trajectory truncation operation, we construct a reliable approximate version of the original BLO in the absence of LLC hypothesis.

Bilevel Optimization

Value-Function-based Sequential Minimization for Bi-level Optimization

1 code implementation11 Oct 2021 Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

We also extend BVFSM to address BLO with additional functional constraints.

ViDA-MAN: Visual Dialog with Digital Humans

no code implementations26 Oct 2021 Tong Shen, Jiawei Zuo, Fan Shi, Jin Zhang, Liqin Jiang, Meng Chen, Zhengchen Zhang, Wei zhang, Xiaodong He, Tao Mei

We demonstrate ViDA-MAN, a digital-human agent for multi-modal interaction, which offers realtime audio-visual responses to instant speech inquiries.

speech-recognition Speech Recognition +2

Robust Multi-view Registration of Point Sets with Laplacian Mixture Model

no code implementations26 Oct 2021 Jin Zhang, Mingyang Zhao, Xin Jiang, Dong-Ming Yan

The proposed method assumes each data point is generated by a Laplacian Mixture Model (LMM), where its centers are determined by the corresponding points in other point sets.

3D Reconstruction

Distributed Optimal Output Consensus of Uncertain Nonlinear Multi-Agent Systems over Unbalanced Directed Networks via Output Feedback

no code implementations16 Nov 2021 Jin Zhang, Lu Liu, Xinghu Wang, Haibo Ji

In this note, a novel observer-based output feedback control approach is proposed to address the distributed optimal output consensus problem of uncertain nonlinear multi-agent systems in the normal form over unbalanced directed graphs.

Geometry-Aware Guided Loss for Deep Crack Recognition

no code implementations CVPR 2022 Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Jie Chen, Zun Liu, Jianqiang Li

Despite the substantial progress of deep models for crack recognition, due to the inconsistent cracks in varying sizes, shapes, and noisy background textures, there still lacks the discriminative power of the deeply learned features when supervised by the cross-entropy loss.

Adversarial Attack via Dual-Stage Network Erosion

1 code implementation1 Jan 2022 Yexin Duan, Junhua Zou, Xingyu Zhou, Wu Zhang, Jin Zhang, Zhisong Pan

Deep neural networks are vulnerable to adversarial examples, which can fool deep models by adding subtle perturbations.

Adversarial Attack

$Radar^2$: Passive Spy Radar Detection and Localization using COTS mmWave Radar

no code implementations10 Jan 2022 Yanlong Qiu, Jiaxi Zhang, Yanjiao Chen, Jin Zhang, Bo Ji

Specifically, we propose a novel \textit{Frequency Component Detection} method to detect the existence of mmWave signals, distinguish between mmWave radar and WiGig signals using a waveform classifier based on a convolutional neural network (CNN), and localize spy radars using triangulation based on the detector's observations at multiple anchor points.

Autonomous Driving

DSRRTracker: Dynamic Search Region Refinement for Attention-based Siamese Multi-Object Tracking

no code implementations21 Mar 2022 JiaXu Wan, Hong Zhang, Jin Zhang, Yuan Ding, Yifan Yang, Yan Li, Xuliang Li

Many multi-object tracking (MOT) methods follow the framework of "tracking by detection", which associates the target objects-of-interest based on the detection results.

Multi-Object Tracking

Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network

no code implementations20 Apr 2022 Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang

In this paper, we propose a lightweight neural network called Efficient Attention-and-alignment-guided Progressive Network (EAPNet) for the challenge NTIRE 2022 HDR Track 1 and Track 2.

Image Restoration

Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees

no code implementations20 May 2022 Risheng Liu, Xuan Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

Gradient methods have become mainstream techniques for Bi-Level Optimization (BLO) in learning and vision fields.

Bilevel Optimization

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

Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems

1 code implementation13 Jun 2022 Lucy Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang

Gradient-based optimization methods for hyperparameter tuning guarantee theoretical convergence to stationary solutions when for fixed upper-level variable values, the lower level of the bilevel program is strongly convex (LLSC) and smooth (LLS).

Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training

no code implementations16 Jun 2022 Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

Recently, Optimization-Derived Learning (ODL) has attracted attention from learning and vision areas, which designs learning models from the perspective of optimization.

Image Deconvolution

KD-SCFNet: Towards More Accurate and Efficient Salient Object Detection via Knowledge Distillation

1 code implementation3 Aug 2022 Jin Zhang, Qiuwei Liang, Yanjiao Shi

Most existing salient object detection (SOD) models are difficult to apply due to the complex and huge model structures.

Knowledge Distillation object-detection +2

CUP: Critic-Guided Policy Reuse

1 code implementation15 Oct 2022 Jin Zhang, Siyuan Li, Chongjie Zhang

The ability to reuse previous policies is an important aspect of human intelligence.

Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems

1 code implementation23 Oct 2022 Yufeng Wang, Cong Xu, Min Yang, Jin Zhang

Although Physics-Informed Neural Networks (PINNs) have been successfully applied in a wide variety of science and engineering fields, they can fail to accurately predict the underlying solution in slightly challenging convection-diffusion-reaction problems.

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report

2 code implementations7 Nov 2022 Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He

While numerous solutions have been proposed for this problem in the past, they are usually not compatible with low-power mobile NPUs having many computational and memory constraints.

Image Super-Resolution

The Devil is in the Crack Orientation: A New Perspective for Crack Detection

no code implementations ICCV 2023 Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li

However, the vanilla adaptation of the existing oriented object detection methods to the crack detection tasks will result in limited performance, due to the boundary discontinuity issue and the ambiguities in sub-crack orientation.

Crack Segmentation object-detection +2

Hyperuniform disordered parametric loudspeaker array

no code implementations3 Jan 2023 Kun Tang, Yuqi Wang, Shaobo Wang, Da Gao, Haojie Li, Xindong Liang, Patrick Sebbah, Yibin Li, Jin Zhang, Junhui Shi

A steerable parametric loudspeaker array is known for its directivity and narrow beam width.

Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity

1 code implementation7 Feb 2023 Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

Gradient methods have become mainstream techniques for Bi-Level Optimization (BLO) in learning fields.

Hierarchical Optimization-Derived Learning

no code implementations11 Feb 2023 Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

In recent years, by utilizing optimization techniques to formulate the propagation of deep model, a variety of so-called Optimization-Derived Learning (ODL) approaches have been proposed to address diverse learning and vision tasks.

HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation

no code implementations10 Apr 2023 Xiaofei Huang, Hongfang Gong, Jin Zhang

In this study, we proposed a Heterogeneous Swin Transformer with Multi-Receptive Field (HST-MRF) model based on U-shaped networks for medical image segmentation.

Image Segmentation Lesion Segmentation +4

Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs

no code implementations29 Jun 2023 Lucy L. Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang

In a recent study by Ye et al. (2023), a value function-based difference of convex algorithm was introduced to address bilevel programs.

IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse

no code implementations14 Aug 2023 Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang

Humans have the ability to reuse previously learned policies to solve new tasks quickly, and reinforcement learning (RL) agents can do the same by transferring knowledge from source policies to a related target task.

Continual Learning Reinforcement Learning (RL)

Interactive Graph Convolutional Filtering

no code implementations4 Sep 2023 Jin Zhang, Defu Lian, Hong Xie, Yawen Li, Enhong Chen

Furthermore, we employ Bayesian meta-learning methods to effectively address the cold-start problem and derive theoretical regret bounds for our proposed method, ensuring a robust performance guarantee.

Collaborative Filtering Meta-Learning +2

Deep Reinforcement Learning Enabled Joint Deployment and Beamforming in STAR-RIS Assisted Networks

no code implementations7 Sep 2023 Zhuoyuan Ma, Qi Zhao, Bai Yan, Jin Zhang

The paper constructs a STAR-RIS assisted multi-user multiple-input single-output (MU-MISO) mobile wireless network and jointly optimizes the dynamic deployment strategy of STAR-RIS and the hybrid beamforming strategy to maximize the long-term total communication rate of users.

Decision Making

AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings

no code implementations15 Oct 2023 Renyang Liu, Jinhong Zhang, Haoran Li, Jin Zhang, Yuanyu Wang, Wei Zhou

Extensive studies have demonstrated that deep neural networks (DNNs) are vulnerable to adversarial attacks.

Physics-Informed Generator-Encoder Adversarial Networks with Latent Space Matching for Stochastic Differential Equations

no code implementations3 Nov 2023 Ruisong Gao, Min Yang, Jin Zhang

We propose a new class of physics-informed neural networks, called Physics-Informed Generator-Encoder Adversarial Networks, to effectively address the challenges posed by forward, inverse, and mixed problems in stochastic differential equations.

Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm

no code implementations29 Jan 2024 Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang

To address this challenge, we begin by devising a smooth proximal Lagrangian value function to handle the constrained lower-level problem.

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