1 code implementation • ICML 2020 • Qiang Zhang, Aldo Lipani, Omer Kirnap, Emine Yilmaz
A common method to do this is Hawkes processes.
no code implementations • 20 Apr 2024 • Yaqing Hou, Wenqiang Ma, Abhishek Gupta, Kavitesh Kumar Bali, Hongwei Ge, Qiang Zhang, Carlos A. Coello Coello, Yew-Soon Ong
This paper pioneers a practical TrEO benchmark suite, integrating problems from the literature categorized based on the three essential aspects of Big Source Task-Instances: volume, variety, and velocity.
no code implementations • 13 Apr 2024 • Zhenwei Wang, Qiule Sun, Bingbing Zhang, Pengfei Wang, Jianxin Zhang, Qiang Zhang
The other is to classification on feature distribution of visual tokens from vision encoder.
2 code implementations • 10 Apr 2024 • Kehua Feng, Keyan Ding, Kede Ma, Zhihua Wang, Qiang Zhang, Huajun Chen
The past years have witnessed a proliferation of large language models (LLMs).
no code implementations • 7 Apr 2024 • Yiqun Duan, Qiang Zhang, Renjing Xu
The utilization of Large Language Models (LLMs) within the realm of reinforcement learning, particularly as planners, has garnered a significant degree of attention in recent scholarly literature.
2 code implementations • Proceedings of the AAAI Conference on Artificial Intelligence 2021 • Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia
Deep quantization methods have shown high efficiency on large-scale image retrieval.
no code implementations • 22 Mar 2024 • Qiang Zhang, Jiawei Liu, Fanrui Zhang, Xiaoling Zhu, Zheng-Jun Zha
Existing key node identification methods usually consider node influence only from the propagation structure perspective and have insufficient generalization ability to unknown scenarios.
no code implementations • 22 Mar 2024 • Fanrui Zhang, Jiawei Liu, Qiang Zhang, Xiaoling Zhu, Zheng-Jun Zha
In this work, we propose a novel Hierarchical Information Enhancement Network (HIENet) for cascade prediction.
no code implementations • 18 Mar 2024 • Jiaxu Wang, Qiang Zhang, Jingkai Sun, Jiahang Cao, Yecheng Shao, Renjing Xu
The quality of the environment representation directly influences the achievement of the learning task.
2 code implementations • 4 Mar 2024 • Yiqian Yang, Yiqun Duan, Qiang Zhang, Renjing Xu, Hui Xiong
In this paper, we explore the brain-to-text translation of MEG signals in a speech-decoding formation.
no code implementations • 7 Feb 2024 • Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang
The decoder-only Transformer architecture with causal masking and relative position encoding (RPE) has become the de facto choice in language modeling.
1 code implementation • 28 Jan 2024 • Hongyang Chen, Can Xu, Lingyu Zheng, Qiang Zhang, Xuemin Lin
Being the most cutting-edge generative methods, diffusion methods have shown great advances in wide generation tasks.
1 code implementation • 26 Jan 2024 • Qiang Zhang, Keyang Ding, Tianwen Lyv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen
Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence.
no code implementations • 15 Jan 2024 • Chunxu Cao, Qiang Zhang
Our framework directly explores the discriminative information of features in the sense of distributions for supervised classification.
no code implementations • 15 Jan 2024 • Chunxu Cao, Qiang Zhang
Feature selection is an important process in machine learning and knowledge discovery.
no code implementations • 15 Jan 2024 • Chunxu Cao, Qiang Zhang
In this paper, we present a novel framework for data redundancy measurement based on probabilistic modeling of datasets, and a new criterion for redundancy detection that is resilient to noise.
1 code implementation • 13 Jan 2024 • Yi Xiao, Qiangqiang Yuan, Qiang Zhang, Liangpei Zhang
Therefore, this paper proposes a practical Blind SVSR algorithm (BSVSR) to explore more sharp cues by considering the pixel-wise blur levels in a coarse-to-fine manner.
1 code implementation • 5 Jan 2024 • Wen Dong, Haiyang Mei, Ziqi Wei, Ao Jin, Sen Qiu, Qiang Zhang, Xin Yang
Car detection is an important task that serves as a crucial prerequisite for many automated driving functions.
no code implementations • 4 Jan 2024 • Qiang Zhang, Ruida Zhou, Yang shen, Tie Liu
This paper considers the problem of offline optimization, where the objective function is unknown except for a collection of ``offline" data examples.
no code implementations • 30 Dec 2023 • Yaqing Hou, Mingyang Sun, Abhishek Gupta, Yaochu Jin, Haiyin Piao, Hongwei Ge, Qiang Zhang
In this paper, we scale evolutionary algorithms to high-dimensional optimization problems that deceptively possess a low effective dimensionality (certain dimensions do not significantly affect the objective function).
1 code implementation • 24 Oct 2023 • Panfeng Cao, Ye Wang, Qiang Zhang, Zaiqiao Meng
Key information extraction (KIE) from scanned documents has gained increasing attention because of its applications in various domains.
1 code implementation • 24 Oct 2023 • Qiang Zhang, Jason Naradowsky, Yusuke Miyao
Knowing how to end and resume conversations over time is a natural part of communication, allowing for discussions to span weeks, months, or years.
no code implementations • 8 Oct 2023 • Xiaoyang Jiang, Qiang Zhang, Jingkai Sun, Jiahang Cao, Jingtong Ma, Renjing Xu
In recent years, legged robots based on deep reinforcement learning have made remarkable progress.
no code implementations • 5 Oct 2023 • Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen
To address this challenge, we propose InstructProtein, an innovative LLM that possesses bidirectional generation capabilities in both human and protein languages: (i) taking a protein sequence as input to predict its textual function description and (ii) using natural language to prompt protein sequence generation.
no code implementations • 29 Sep 2023 • Qing Shen, Yifan Zhou, Huanfeng Zhao, Peng Zhang, Qiang Zhang, Slava Maslenniko, Xiaochuan Luo
Traditional grid analytics are model-based, relying strongly on accurate models of power systems, especially the dynamic models of generators, controllers, loads and other dynamic components.
no code implementations • 29 Sep 2023 • Qing Shen, Yifan Zhou, Qiang Zhang, Slava Maslennikov, Xiaochuan Luo, Peng Zhang
The contributions are threefold: (1) an ODE-Net-enabled NeuDyE formulation to enable a continuous-time, data-driven dynamic equivalence of power systems; (2) a physics-informed NeuDyE learning method (PI-NeuDyE) to actively control the closed-loop accuracy of NeuDyE without an additional verification module; (3) a physics-guided NeuDyE (PG-NeuDyE) to enhance the method's applicability even in the absence of analytical physics models.
1 code implementation • Machines 2023 • Zihang Wang, Xueying Sun, Hao Wei, Qing Ma, Qiang Zhang
To tackle this challenge, we proposed a pioneering two-stage hybrid Convolutional Neural Network (CNN) architecture, which connects segmentation and pose estimation in tandem.
Ranked #1 on 6D Pose Estimation using RGBD on YCB-Video
1 code implementation • 29 Jun 2023 • Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen
To effectively utilize many-to-many correlations of molecules and properties, we propose a Graph Sampling-based Meta-learning (GS-Meta) framework for few-shot molecular property prediction.
1 code implementation • 29 Jun 2023 • Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu
In our paper, we put forward Spiking Denoising Diffusion Probabilistic Models (SDDPM), a new class of SNN-based generative models that achieve high sample quality.
no code implementations • 28 Jun 2023 • Jiawei Liu, Jingyi Xie, Fanrui Zhang, Qiang Zhang, Zheng-Jun Zha
The explosive growth of rumors with text and images on social media platforms has drawn great attention.
no code implementations • 22 Jun 2023 • Qiang Zhang, Yuanqiao Lin, Yubin Lin, Szymon Rusinkiewicz
Hand tracking is an important aspect of human-computer interaction and has a wide range of applications in extended reality devices.
1 code implementation • 29 May 2023 • Qiang Zhang, Jason Naradowsky, Yusuke Miyao
We propose the "Ask an Expert" framework in which the model is trained with access to an "expert" which it can consult at each turn.
1 code implementation • 25 May 2023 • Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani
The ability to understand a user's underlying needs is critical for conversational systems, especially with limited input from users in a conversation.
1 code implementation • 24 May 2023 • Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen
Reasoning system dynamics is one of the most important analytical approaches for many scientific studies.
no code implementations • 11 May 2023 • Dongyang Li, Ruixue Ding, Qiang Zhang, Zheng Li, Boli Chen, Pengjun Xie, Yao Xu, Xin Li, Ning Guo, Fei Huang, Xiaofeng He
With a fast developing pace of geographic applications, automatable and intelligent models are essential to be designed to handle the large volume of information.
no code implementations • 16 Apr 2023 • Yingting Miao, Qiang Zhang
Transaction costs play a critical role in asset allocation and consumption strategies in portfolio management.
no code implementations • 12 Apr 2023 • Deyu An, Qiang Zhang, Jianshu Chao, Ting Li, Feng Qiao, Yong Deng, ZhenPeng Bian
Unmanned aerial vehicles (UAVs) are frequently used for inspecting power lines and capturing high-resolution aerial images.
no code implementations • 8 Apr 2023 • Ruiqiang Liu, Qiqiang Zhong, Mengmeng Cui, Hanjie Mai, Qiang Zhang, Shaohua Xu, Xiangzheng Liu, Yanlong Du
The model uses a generative model to generate corresponding complement sentences and uses the contrastive learning method to guide the model to obtain more semantically meaningful encoding of the original sentence.
1 code implementation • CVPR 2023 • Zixuan Ding, Ao Wang, Hui Chen, Qiang Zhang, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Jungong Han
In this paper, we advocate remedying the deficiency of label supervision for the MLR with incomplete labels by deriving a structured semantic prior about the label-to-label correspondence via a semantic prior prompter.
1 code implementation • 11 Jan 2023 • Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu
Single-modal PTMs can barely make use of the important GC and therefore have limited performance.
no code implementations • CVPR 2023 • Tianlu Zhang, Hongyuan Guo, Qiang Jiao, Qiang Zhang, Jungong Han
Most current RGB-T trackers adopt a two-stream structure to extract unimodal RGB and thermal features and complex fusion strategies to achieve multi-modal feature fusion, which require a huge number of parameters, thus hindering their real-life applications.
Ranked #5 on Rgb-T Tracking on GTOT
no code implementations • 10 Dec 2022 • Chen Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu, Eng Siong Chng
Audio-visual speech recognition (AVSR) has gained remarkable success for ameliorating the noise-robustness of speech recognition.
no code implementations • 6 Dec 2022 • Qiang Zhang, Zhouli Xu, Yihang Wang, Lingfang Yang, Xiaolin Song, Zhi Huang
Maneuverability and drivability of the teleoperated ground vehicle could be seriously degraded by large communication delays if the delays are not properly compensated.
no code implementations • 29 Nov 2022 • Pratyaksh Prabhav Rao, Feng Qiao, Weide Zhang, Yiliang Xu, Yong Deng, Guangbin Wu, Qiang Zhang
This process is studied in Unsupervised domain adaptation (UDA).
no code implementations • 28 Nov 2022 • Wenxuan Zhu, Chao Yu, Qiang Zhang
Offline reinforcement learning promises to alleviate this issue by exploiting the vast amount of observational data available in the real world.
no code implementations • 13 Oct 2022 • Yu Qiao, Ziqi Wei, Yuhao Liu, Yuxin Wang, Dongsheng Zhou, Qiang Zhang, Xin Yang
This paper reviews recent deep-learning-based matting research and conceives our wider and higher motivation for image matting.
no code implementations • 12 Oct 2022 • Yuanyuan Liu, Chengjiang Long, Zhaoxuan Zhang, Bokai Liu, Qiang Zhang, BaoCai Yin, Xin Yang
3D scene graph generation (SGG) has been of high interest in computer vision.
1 code implementation • ICCV 2023 • Ziqing Wang, Yuetong Fang, Jiahang Cao, Qiang Zhang, Zhongrui Wang, Renjing Xu
The combination of Spiking Neural Networks (SNNs) and Transformers has attracted significant attention due to their potential for high energy efficiency and high-performance nature.
no code implementations • 10 Sep 2022 • Haiyang Mei, Xin Yang, Letian Yu, Qiang Zhang, Xiaopeng Wei, Rynson W. H. Lau
Glass is very common in our daily life.
no code implementations • 10 Aug 2022 • Yang Wang, Qiang Zhang, Xiao-hui Xiao
Then, a hybrid model is established based on the two models (the nonlinear model and the LTI model) and corresponding to it, a cascaded controller is developed, the outer loop of which is an H-infinite controller for the angular position tracking designed by loop-shaping design procedure (LSDP) and the inner loop is a nonlinear controller based on the feedback linearization theory for the PAM driving pressure control.
1 code implementation • 1 Aug 2022 • Yongle Luo, Yuxin Wang, Kun Dong, Qiang Zhang, Erkang Cheng, Zhiyong Sun, Bo Song
To solve these tasks efficiently, we propose a novel self-guided continual RL framework, RelayHER (RHER).
1 code implementation • 28 May 2022 • Qiang Zhang, Seung-Hwan Baek, Szymon Rusinkiewicz, Felix Heide
We propose a differentiable rendering algorithm for efficient novel view synthesis.
1 code implementation • Findings (ACL) 2022 • Qiang Zhang, Jason Naradowsky, Yusuke Miyao
We introduce the task of implicit offensive text detection in dialogues, where a statement may have either an offensive or non-offensive interpretation, depending on the listener and context.
1 code implementation • Association for the Advancement of Artificial Intelligence (AAAI) 2022 • Zhengxiang Shi, Qiang Zhang, Aldo Lipani
Our experiments demonstrate that state-of-the-art models on the bAbI dataset struggle on the StepGame dataset.
Ranked #1 on Question Answering on StepGame
no code implementations • ACL 2022 • Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz
Existing approaches that have considered such relations generally fall short in: (1) fusing prior slot-domain membership relations and dialogue-aware dynamic slot relations explicitly, and (2) generalizing to unseen domains.
no code implementations • 29 Mar 2022 • De Cheng, Gerong Wang, Bo wang, Qiang Zhang, Jungong Han, Dingwen Zhang
This design makes the presented transformer model a hybrid of 1) top-down and bottom-up attention pathways and 2) dynamic and static routing pathways.
1 code implementation • Findings (ACL) 2022 • Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen
Embedding-based methods have attracted increasing attention in recent entity alignment (EA) studies.
no code implementations • 18 Feb 2022 • Lingbing Guo, Qiang Zhang, Huajun Chen
Our experiments demonstrate DET has achieved superior performance compared to the respective state-of-the-art methods in dealing with molecules, networks and knowledge graphs with various sizes.
no code implementations • 7 Feb 2022 • Qiang Zhang, Zeyuan Wang, Yuqiang Han, Haoran Yu, Xurui Jin, Huajun Chen
To incorporate conformational knowledge to PTPMs, we propose an interaction-conformation prompt (IC prompt) that is learned through back-propagation with the protein-protein interaction task.
1 code implementation • ICLR 2022 • Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Jiazhang Lian, Qiang Zhang, Huajun Chen
We construct a novel large-scale knowledge graph that consists of GO and its related proteins, and gene annotation texts or protein sequences describe all nodes in the graph.
1 code implementation • 11 Jan 2022 • Yunqi Miao, Nianchang Huang, Xiao Ma, Qiang Zhang, Jungong Han
Visible-infrared person re-identification (VI-ReID) has been challenging due to the existence of large discrepancies between visible and infrared modalities.
no code implementations • 7 Jan 2022 • Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Yu
Recent advances in machine learning and prevalence of digital medical images have opened up an opportunity to address the challenging brain tumor segmentation (BTS) task by using deep convolutional neural networks.
no code implementations • CVPR 2022 • Qiang Zhang, Changzhou Lai, Jianan Liu, Nianchang Huang, Jungong Han
Then, a feature-level modality compensation module is present to generate those missing modality-specific features from existing modality-shared ones.
1 code implementation • 14 Dec 2021 • Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, BaoCai Yin
Many improvements on GNNs can be deemed as operations on the spectrum of the underlying graph matrix, which motivates us to directly study the characteristics of the spectrum and their effects on GNN performance.
Ranked #3 on Graph Classification on ENZYMES
no code implementations • NeurIPS 2021 • Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz
Conventional meta-learning considers a set of tasks from a stationary distribution.
1 code implementation • 1 Dec 2021 • Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen
To address these issues, we construct a Chemical Element Knowledge Graph (KG) to summarize microscopic associations between elements and propose a novel Knowledge-enhanced Contrastive Learning (KCL) framework for molecular representation learning.
no code implementations • NeurIPS 2021 • Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang
Gaussian Processes (GPs) define distributions over functions and their generalization capabilities depend heavily on the choice of kernels.
no code implementations • 21 Oct 2021 • Lingbing Guo, Zequn Sun, Mingyang Chen, Wei Hu, Qiang Zhang, Huajun Chen
Embedding-based entity alignment (EEA) has recently received great attention.
no code implementations • 9 Sep 2021 • Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba
This work takes a step on dynamics modeling in hand-object interactions from dense tactile sensing, which opens the door for future applications in activity learning, human-computer interactions, and imitation learning for robotics.
no code implementations • CVPR 2021 • Haiyang Mei, Bo Dong, Wen Dong, Pieter Peers, Xin Yang, Qiang Zhang, Xiaopeng Wei
To exploit depth information in mirror segmentation, we first construct a large-scale RGB-D mirror segmentation dataset, which we subsequently employ to train a novel depth-aware mirror segmentation framework.
no code implementations • CVPR 2021 • Qiang Zhang, Shenlu Zhao, Yongjiang Luo, Dingwen Zhang, Nianchang Huang, Jungong Han
Semantic segmentation models gain robustness against poor lighting conditions by virtue of complementary information from visible (RGB) and thermal images.
Ranked #27 on Thermal Image Segmentation on MFN Dataset
no code implementations • 23 Apr 2021 • Nianchang Huang, Qiang Zhang, Jungong Han
The former one first uses two sub-networks to extract unimodal features from RGB and depth images, respectively, and then fuses them for SOD.
no code implementations • 23 Apr 2021 • Nianchang Huang, Jianan Liu, Qiang Zhang, Jungong Han
Most existing cross-modality person re-identification works rely on discriminative modality-shared features for reducing cross-modality variations and intra-modality variations.
Cross-Modality Person Re-identification Person Re-Identification
no code implementations • 31 Mar 2021 • Xin Yang, Yu Qiao, Shaozhe Chen, Shengfeng He, BaoCai Yin, Qiang Zhang, Xiaopeng Wei, Rynson W. H. Lau
Image matting is an ill-posed problem that usually requires additional user input, such as trimaps or scribbles.
1 code implementation • 29 Mar 2021 • Dingwen Zhang, Bo wang, Gerong Wang, Qiang Zhang, Jiajia Zhang, Jungong Han, Zheng You
Onfocus detection aims at identifying whether the focus of the individual captured by a camera is on the camera or not.
no code implementations • 11 Mar 2021 • Guannan Geng, Qingyang Xiao, Shigan Liu, Xiaodong Liu, Jing Cheng, Yixuan Zheng, Dan Tong, Bo Zheng, Yiran Peng, Xiaomeng Huang, Kebin He, Qiang Zhang
Accordingly, a full-coverage high-resolution air pollutant dataset with timely updates and historical long-term records is essential to support both research and environmental management.
no code implementations • 10 Mar 2021 • Zheng-Ping Li, Jun-Tian Ye, Xin Huang, Peng-Yu Jiang, Yuan Cao, Yu Hong, Chao Yu, Jun Zhang, Qiang Zhang, Cheng-Zhi Peng, Feihu Xu, Jian-Wei Pan
Long-range active imaging has widespread applications in remote sensing and target recognition.
no code implementations • 1 Mar 2021 • Lei Ding, Xianghan Xu, Harald O. Jeschke, Xiaojian Bai, Erxi Feng, Admasu Solomon Alemayehu, Jaewook Kim, Feiting Huang, Qiang Zhang, Xiaxin Ding, Neil Harrison, Vivien Zapf, Daniel Khomskii, Igor I. Mazin, Sang-Wook Cheong, Huibo Cao
A toroidal dipole moment appears independent of the electric and magnetic dipole moment in the multipole expansion of electrodynamics.
Strongly Correlated Electrons Materials Science
1 code implementation • 18 Feb 2021 • Chaowei Fang, HaiBin Tian, Dingwen Zhang, Qiang Zhang, Jungong Han, Junwei Han
To this end, this paper revisits the role of top-down modeling in salient object detection and designs a novel densely nested top-down flows (DNTDF)-based framework.
no code implementations • 29 Jan 2021 • Shang Gao, Andrew F. May, Mao-Hua Du, Joseph A. M. Paddison, Hasitha Suriya Arachchige, Ganesh Pokharel, Clarina dela Cruz, Qiang Zhang, Georg Ehlers, David S. Parker, David G. Mandrus, Matthew B. Stone, Andrew D. Christianson
The hierarchy of the coupling strengths in a physical system often engenders an effective model at low energies where the decoupled high-energy modes are integrated out.
Strongly Correlated Electrons
no code implementations • 26 Jan 2021 • Xin Yang, Zongliang Ma, Letian Yu, Ying Cao, BaoCai Yin, Xiaopeng Wei, Qiang Zhang, Rynson W. H. Lau
Finally, as opposed to using the same type of balloon as in previous works, we propose an emotion-aware balloon generation method to create different types of word balloons by analyzing the emotion of subtitles and audios.
1 code implementation • 22 Jan 2021 • Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz
Then a stacked slot self-attention is applied on these features to learn the correlations among slots.
no code implementations • 7 Jan 2021 • Yu Qiao, Yuhao Liu, Qiang Zhu, Xin Yang, Yuxin Wang, Qiang Zhang, Xiaopeng Wei
Image matting is a long-standing problem in computer graphics and vision, mostly identified as the accurate estimation of the foreground in input images.
no code implementations • 1 Jan 2021 • Yong Geng, Heng Zhou, Wenwen Cui, Xinjie Han, Qiang Zhang, Boyuan Liu, Guangwei Deng, Qiang Zhou, Kun Qiu
Dissipative Kerr soliton microcomb has been recognized as a promising on-chip multi-wavelength laser source for fiber optical communications, as its comb lines possess frequency and phase stability far beyond independent lasers.
no code implementations • 1 Jan 2021 • William R. Meier, Bryan C. Chakoumakos, Satoshi Okamoto, Michael A. McGuire, Raphaël P. Hermann, German D. Samolyuk, Shang Gao, Qiang Zhang, Matthew B. Stone, Andrew D. Christianson, Brian C. Sales
Single crystal x-ray diffraction reveals super-lattice peaks in the low-temperature phase signaling the development of a CDW lattice modulation.
Strongly Correlated Electrons Materials Science
1 code implementation • ICLR 2021 • Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang
We propose \textit{dynamics cycles} that align dynamic robot behavior across two domains using a cycle-consistency constraint.
no code implementations • NeurIPS 2020 • Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang
In this paper, we present a new practical method for Bayesian learning that can rapidly draw representative samples from complex posterior distributions with multiple isolated modes in the presence of mini-batch noise.
no code implementations • ECCV 2020 • Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun
We present a novel method for testing the safety of self-driving vehicles in simulation.
no code implementations • 29 May 2020 • Xiang Hao, Xiangdong Su, Zhiyu Wang, Qiang Zhang, Huali Xu, Guanglai Gao
Specifically, this method consists of multiple teacher models and a student model.
no code implementations • 23 Aug 2019 • Xin Yang, Haiyang Mei, Jiqing Zhang, Ke Xu, Bao-Cai Yin, Qiang Zhang, Xiaopeng Wei
Recently, single-image super-resolution has made great progress owing to the development of deep convolutional neural networks (CNNs).
1 code implementation • 17 Jul 2019 • Qiang Zhang, Aldo Lipani, Omer Kirnap, Emine Yilmaz
The proposed method adapts self-attention to fit the intensity function of Hawkes processes.
no code implementations • 29 May 2019 • Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang
In this paper, we present a new practical method for Bayesian learning that can rapidly draw representative samples from complex posterior distributions with multiple isolated modes in the presence of mini-batch noise.
no code implementations • CVPR 2019 • Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian
Thereby, we for the first time propose an end-to-end learnable and task-agnostic sampling operation, named Gumbel Subset Sampling (GSS), to select a representative subset of input points.
no code implementations • CVPR 2019 • Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang
Person re-identification has achieved great progress with deep convolutional neural networks.
2 code implementations • CVPR 2019 • Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson Lau
Second, to better cover the stochastic distribution of real rain streaks, we propose a novel SPatial Attentive Network (SPANet) to remove rain streaks in a local-to-global manner.
Ranked #3 on Single Image Deraining on RainCityscapes
no code implementations • 28 Feb 2019 • Jiancheng Yang, Qiang Zhang, Rongyao Fang, Bingbing Ni, Jinxian Liu, Qi Tian
A set of novel 3D point cloud attack operations are proposed via pointwise gradient perturbation and adversarial point attachment / detachment.
no code implementations • 25 Feb 2019 • Feng Ji, Jielong Yang, Qiang Zhang, Wee Peng Tay
In view of the huge success of convolution neural networks (CNN) for image classification and object recognition, there have been attempts to generalize the method to general graph-structured data.
no code implementations • 30 Dec 2018 • Qiang Zhang, Shangsong Liang, Emine Yilmaz
This paper proposes a variational self-attention model (VSAM) that employs variational inference to derive self-attention.
no code implementations • 5 Dec 2018 • Kai Lei, Kaiqi Yuan, Qiang Zhang, Ying Shen
We present MedSim, a novel semantic SIMilarity method based on public well-established bio-MEDical knowledge graphs (KGs) and large-scale corpus, to study the therapeutic substitution of antibiotics.
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.
no code implementations • 4 Dec 2018 • Rui Luo, Qiang Zhang, Yuanyuan Liu
We propose a new sampler that integrates the protocol of parallel tempering with the Nos\'e-Hoover (NH) dynamics.
no code implementations • 8 Nov 2018 • Qiang Zhang, Rui Luo, Yaodong Yang, Yuanyuan Liu
As an indicator of the level of risk or the degree of variation, volatility is important to analyse the financial market, and it is taken into consideration in various decision-making processes in financial activities.
1 code implementation • 1 Oct 2018 • Qiang Zhang, Qiangqiang Yuan, Jie Li, Xin-Xin Liu, Huanfeng Shen, Liangpei Zhang
The existence of hybrid noise in hyperspectral images (HSIs) severely degrades the data quality, reduces the interpretation accuracy of HSIs, and restricts the subsequent HSIs applications.
2 code implementations • 1 Jun 2018 • Qiangqiang Yuan, Qiang Zhang, Jie Li, Huanfeng Shen, Liangpei Zhang
Hyperspectral image (HSI) denoising is a crucial preprocessing procedure to improve the performance of the subsequent HSI interpretation and applications.
no code implementations • 8 May 2018 • Xin Yang, Yuanbo Wang, Yaru Wang, Bao-Cai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu
Inspired by the recent advance of image-based object reconstruction using deep learning, we present an active reconstruction model using a guided view planner.
no code implementations • CVPR 2018 • Xin Yang, Ke Xu, Yibing Song, Qiang Zhang, Xiaopeng Wei, Rynson Lau
Given an input LDR image, we first reconstruct the missing details in the HDR domain.
no code implementations • 3 Mar 2018 • Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen
This paper proposes a many-objective optimization algorithm with two interacting processes: cascade clustering and reference point incremental learning (CLIA).
1 code implementation • 23 Feb 2018 • Qiang Zhang, Qiangqiang Yuan, Chao Zeng, Xinghua Li, Yancong Wei
Because of the internal malfunction of satellite sensors and poor atmospheric conditions such as thick cloud, the acquired remote sensing data often suffer from missing information, i. e., the data usability is greatly reduced.
no code implementations • 10 Jan 2018 • Ming Song, Yi Yang, Jianghong He, Zhengyi Yang, Shan Yu, Qiuyou Xie, Xiaoyu Xia, Yuanyuan Dang, Qiang Zhang, Xinhuai Wu, Yue Cui, Bing Hou, Ronghao Yu, Ruxiang Xu, Tianzi Jiang
Disorders of consciousness are a heterogeneous mixture of different diseases or injuries.
Neurons and Cognition
1 code implementation • 9 Sep 2017 • Qiang Zhang, Qiangqiang Yuan, Jie Li, Zhen Yang, Xiaoshuang Ma
In this paper, to break the limit of the traditional linear models for synthetic aperture radar (SAR) image despeckling, we propose a novel deep learning approach by learning a non-linear end-to-end mapping between the noisy and clean SAR images with a dilated residual network (SAR-DRN).
no code implementations • 27 Jun 2017 • Michele Flammini, Gianpiero Monaco, Qiang Zhang
In this paper we consider strategyproof mechanisms for additively separable hedonic games and fractional hedonic games, that is, partitioning methods without payments such that utility maximizing agents have no incentive to lie about their true preferences.
no code implementations • 12 Feb 2017 • Qiang Zhang, Yi Liu, Rick S. Blum, Jungong Han, DaCheng Tao
As a result of several successful applications in computer vision and image processing, sparse representation (SR) has attracted significant attention in multi-sensor image fusion.
no code implementations • 24 Mar 2015 • Qiang Zhang, Yilin Wang, Baoxin Li
Recently, the spectrum analysis based visual saliency approach has attracted a lot of interest due to its simplicity and good performance, where the phase information of the image is used to construct the saliency map.
no code implementations • CVPR 2014 • Lin Chen, Qiang Zhang, Baoxin Li
Relative attributes learning aims to learn ranking functions describing the relative strength of attributes.
no code implementations • CVPR 2013 • Qiang Zhang, Baoxin Li
The proposed algorithm effectively learns a model from the training data so that the attribute under consideration is linked to the likelihood of the inputs under the learned model.