no code implementations • 3 Feb 2025 • Sheng Fang, Yong-Jin Liu, Wei Yao, Chengming Yu, Jin Zhang
Bilevel optimization, addressing challenges in hierarchical learning tasks, has gained significant interest in machine learning.
2 code implementations • 22 Jan 2025 • Kimi Team, Angang Du, Bofei Gao, Bowei Xing, Changjiu Jiang, Cheng Chen, Cheng Li, Chenjun Xiao, Chenzhuang Du, Chonghua Liao, Chuning Tang, Congcong Wang, Dehao Zhang, Enming Yuan, Enzhe Lu, Fengxiang Tang, Flood Sung, Guangda Wei, Guokun Lai, Haiqing Guo, Han Zhu, Hao Ding, Hao Hu, Hao Yang, Hao Zhang, Haotian Yao, Haotian Zhao, Haoyu Lu, Haoze Li, Haozhen Yu, Hongcheng Gao, Huabin Zheng, Huan Yuan, Jia Chen, Jianhang Guo, Jianlin Su, Jianzhou Wang, Jie Zhao, Jin Zhang, Jingyuan Liu, Junjie Yan, Junyan Wu, Lidong Shi, Ling Ye, Longhui Yu, Mengnan Dong, Neo Zhang, Ningchen Ma, Qiwei Pan, Qucheng Gong, Shaowei Liu, Shengling Ma, Shupeng Wei, Sihan Cao, Siying Huang, Tao Jiang, Weihao Gao, Weimin Xiong, Weiran He, Weixiao Huang, Wenhao Wu, Wenyang He, Xianghui Wei, Xianqing Jia, Xingzhe Wu, Xinran Xu, Xinxing Zu, Xinyu Zhou, Xuehai Pan, Y. Charles, Yang Li, Yangyang Hu, Yangyang Liu, Yanru Chen, Yejie Wang, Yibo Liu, Yidao Qin, Yifeng Liu, Ying Yang, Yiping Bao, Yulun Du, Yuxin Wu, Yuzhi Wang, Zaida Zhou, Zhaoji Wang, Zhaowei Li, Zhen Zhu, Zheng Zhang, Zhexu Wang, Zhilin Yang, Zhiqi Huang, Zihao Huang, Ziyao Xu, Zonghan Yang
Moreover, we present effective long2short methods that use long-CoT techniques to improve short-CoT models, yielding state-of-the-art short-CoT reasoning results -- e. g., 60. 8 on AIME, 94. 6 on MATH500, 47. 3 on LiveCodeBench -- outperforming existing short-CoT models such as GPT-4o and Claude Sonnet 3. 5 by a large margin (up to +550%).
1 code implementation • 15 Jan 2025 • Jin Chen, Jin Zhang, Xu Huang, Yi Yang, Defu Lian, Enhong Chen
The softmax function is a cornerstone of multi-class classification, integral to a wide range of machine learning applications, from large-scale retrieval and ranking models to advanced large language models.
1 code implementation • 17 Dec 2024 • Zihui Cheng, Qiguang Chen, Jin Zhang, Hao Fei, Xiaocheng Feng, Wanxiang Che, Min Li, Libo Qin
Large Vision-Language Models (LVLMs) have recently demonstrated amazing success in multi-modal tasks, including advancements in Multi-modal Chain-of-Thought (MCoT) reasoning.
1 code implementation • 13 Dec 2024 • Zhikai Lei, Tianyi Liang, Hanglei Hu, Jin Zhang, Yunhua Zhou, Yunfan Shao, Linyang Li, Chenchui Li, Changbo Wang, Hang Yan, Qipeng Guo
Large Language Models (LLMs) are commonly evaluated using human-crafted benchmarks, under the premise that higher scores implicitly reflect stronger human-like performance.
no code implementations • 12 Dec 2024 • Jin Zhang, Xiaoran Qin, Ming Zhang
With the increasing development of intelligent transportation systems and advancements in aviation technology, the concept of Advanced Air Mobility (AAM) is gaining attention.
1 code implementation • 21 Aug 2024 • Ze Liu, Jin Zhang, Chao Feng, Defu Lian, Jie Wang, Enhong Chen
Although advancements in deep learning have significantly enhanced the recommendation accuracy of deep recommendation models, these methods still suffer from low recommendation efficiency.
no code implementations • 9 Aug 2024 • Xuanyu Liu, Haoxian Liu, Jiao Li, Zongqi Yang, Yi Huang, Jin Zhang
In addition, we propose a well-designed framework comprised of pulse wave probing, pulse wave extraction, and AF detection to ensure accurate and reliable AF detection.
no code implementations • 18 Jul 2024 • Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan
Existing Camouflaged Object Detection (COD) methods rely heavily on large-scale pixel-annotated training sets, which are both time-consuming and labor-intensive.
1 code implementation • 17 Jun 2024 • Nathaniel Linden-Santangeli, Jin Zhang, Boris Kramer, Padmini Rangamani
Mathematical models are indispensable to the system biology toolkit for studying the structure and behavior of intracellular signaling networks.
no code implementations • 29 May 2024 • Tianshu Chu, Dachuan Xu, Wei Yao, Jin Zhang
While stochastic bilevel optimization methods have been extensively studied for addressing large-scale nested optimization problems in machine learning, it remains an open question whether the optimal complexity bounds for solving bilevel optimization are the same as those in single-level optimization.
1 code implementation • 26 May 2024 • Qiguang Chen, Libo Qin, Jin Zhang, Zhi Chen, Xiao Xu, Wanxiang Che
In addition, we highlight that the current VLLMs still struggle to correctly reason in M$^3$CoT and there remains a large gap between existing VLLMs and human performance in M$^3$CoT, despite their superior results on previous MCoT benchmarks.
no code implementations • 16 May 2024 • Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
This work focuses on addressing two major challenges in the context of large-scale nonconvex Bi-Level Optimization (BLO) problems, which are increasingly applied in machine learning due to their ability to model nested structures.
no code implementations • 14 Apr 2024 • Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang
This paper tackles the deployment challenges of Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surface (STAR-RIS) in communication systems.
no code implementations • 29 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.
no code implementations • 3 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.
no code implementations • 15 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.
no code implementations • 7 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.
no code implementations • 4 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.
no code implementations • 14 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.
no code implementations • 9 Aug 2023 • Shuwei Chen, Xiang Li, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang
Click-through rate (CTR) prediction plays a pivotal role in the success of recommendations.
no code implementations • 29 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.
1 code implementation • 31 May 2023 • Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, LiWei Wang, Chongjie Zhang
We find a return-based uncertainty quantification for IDAQ that performs effectively.
no code implementations • 10 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.
no code implementations • 11 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.
1 code implementation • 7 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.
no code implementations • 29 Jan 2023 • Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang
Click-through rate (CTR) prediction is crucial in recommendation and online advertising systems.
no code implementations • 3 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.
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.
no code implementations • 7 Nov 2022 • Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei
In this Mobile AI challenge, the target was to develop an efficient end-to-end AI-based bokeh effect rendering approach that can run on modern smartphone GPUs using TensorFlow Lite.
2 code implementations • 7 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.
1 code implementation • 23 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.
1 code implementation • 15 Oct 2022 • Jin Zhang, Siyuan Li, Chongjie Zhang
The ability to reuse previous policies is an important aspect of human intelligence.
1 code implementation • 3 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.
no code implementations • 16 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.
1 code implementation • 13 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).
no code implementations • 25 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).
no code implementations • 20 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.
no code implementations • 20 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.
no code implementations • 21 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.
no code implementations • 10 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.
1 code implementation • 1 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.
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.
no code implementations • 16 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.
no code implementations • 26 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.
no code implementations • 26 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.
1 code implementation • 11 Oct 2021 • Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
We also extend BVFSM to address BLO with additional functional constraints.
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.
no code implementations • 19 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.
no code implementations • 1 Sep 2021 • Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Jin Zhang, Wu Zhang, Zhisong Pan
An adversary can fool deep neural network object detectors by generating adversarial noises.
no code implementations • 22 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.
no code implementations • 15 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.
no code implementations • 14 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.
no code implementations • 14 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.
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.
no code implementations • 25 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.
no code implementations • 11 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.
1 code implementation • 16 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.
no code implementations • 27 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.
no code implementations • 1 Jan 2021 • Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang
Deep reinforcement learning algorithms generally require large amounts of data to solve a single task.
no code implementations • 17 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
1 code implementation • 15 Jun 2020 • Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang
Meta reinforcement learning (meta-RL) extracts knowledge from previous tasks and achieves fast adaptation to new tasks.
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.
no code implementations • 13 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.
no code implementations • 17 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.
no code implementations • 3 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.
no code implementations • 5 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.
no code implementations • 25 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.
no code implementations • 24 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.
no code implementations • 6 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.
no code implementations • 17 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.
no code implementations • 29 Mar 2019 • Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri
Prostate cancer is the most common cancer among US men.
no code implementations • 19 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.
no code implementations • 5 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.
1 code implementation • 16 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.