Search Results for author: Qiang Zhang

Found 125 papers, 43 papers with code

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models

1 code implementation13 Jun 2024 Kehua Feng, Keyan Ding, Weijie Wang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen

The burgeoning utilization of Large Language Models (LLMs) in scientific research necessitates advanced benchmarks capable of evaluating their understanding and application of scientific knowledge comprehensively.

Benchmarking

Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning

1 code implementation4 Jun 2024 Jiahang Cao, Qiang Zhang, Ziqing Wang, Jiaxu Wang, Hao Cheng, Yecheng Shao, Wen Zhao, Gang Han, Yijie Guo, Renjing Xu

Sequential modeling has demonstrated remarkable capabilities in offline reinforcement learning (RL), with Decision Transformer (DT) being one of the most notable representatives, achieving significant success.

OpenAI Gym Reinforcement Learning (RL)

MAD: Multi-Alignment MEG-to-Text Decoding

1 code implementation3 Jun 2024 Yiqian Yang, Hyejeong Jo, Yiqun Duan, Qiang Zhang, Jinni Zhou, Won Hee Lee, Renjing Xu, Hui Xiong

Deciphering language from brain activity is a crucial task in brain-computer interface (BCI) research.

Brain Computer Interface EEG +1

Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System

no code implementations16 May 2024 Chen Chen, Ruizhe Li, Yuchen Hu, YuanYuan Chen, Chengwei Qin, Qiang Zhang

Experimental results show that HESIT effectively alleviates catastrophic forgetting by exemplar selection, and achieves state-of-the-art performance on the largest CL benchmark of ToDs in terms of all metrics.

Continual Learning Task-Oriented Dialogue Systems

Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods

no code implementations15 May 2024 Xilong Qu, Wenbin Pei, Yingchao Yang, Xirong Xu, Renquan Zhang, Qiang Zhang

Influence maximization (IM) is a crucial optimization task related to analyzing complex networks in the real world, such as social networks, disease propagation networks, and marketing networks.

Marketing

Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution

no code implementations8 May 2024 Yi Xiao, Qiangqiang Yuan, Kui Jiang, Yuzeng Chen, Qiang Zhang, Chia-Wen Lin

To alleviate these issues, we develop the first attempt to integrate the Vision State Space Model (Mamba) for RSI-SR, which specializes in processing large-scale RSI by capturing long-range dependency with linear complexity.

Image Super-Resolution

Modality Prompts for Arbitrary Modality Salient Object Detection

no code implementations6 May 2024 Nianchang Huang, Yang Yang, Qiang Zhang, Jungong Han, Jin Huang

A novel modality-adaptive Transformer (MAT) will be proposed to investigate two fundamental challenges of AM SOD, ie more diverse modality discrepancies caused by varying modality types that need to be processed, and dynamic fusion design caused by an uncertain number of modalities present in the inputs of multimodal fusion strategy.

Object object-detection +2

Salient Object Detection From Arbitrary Modalities

1 code implementation6 May 2024 Nianchang Huang, Yang Yang, Ruida Xi, Qiang Zhang, Jungong Han, Jin Huang

The most prominent characteristics of AM SOD are that the modality types and modality numbers will be arbitrary or dynamically changed.

Object object-detection +3

Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization

no code implementations20 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.

Benchmarking

Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs

no code implementations7 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.

Autonomous Driving Imitation Learning

Hierarchical Information Enhancement Network for Cascade Prediction in Social Networks

no code implementations22 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.

Multi-perspective Memory Enhanced Network for Identifying Key Nodes in Social Networks

no code implementations22 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.

Blocking Graph Attention

NeuSpeech: Decode Neural signal as Speech

2 code implementations4 Mar 2024 Yiqian Yang, Yiqun Duan, Qiang Zhang, Hyejeong Jo, Jinni Zhou, Won Hee Lee, Renjing Xu, Hui Xiong

In this paper, we explore the brain-to-text translation of MEG signals in a speech-decoding formation.

Brain Computer Interface EEG

StableMask: Refining Causal Masking in Decoder-only Transformer

no code implementations7 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.

Decoder Language Modelling +1

Simple Policy Optimization

1 code implementation29 Jan 2024 Zhengpeng Xie, Qiang Zhang, Renjing Xu

As one of the most important and influential algorithms in reinforcement learning, the Proximal Policy Optimization (PPO) algorithm has demonstrated outstanding performance across various domains.

Diffusion-based graph generative methods

1 code implementation28 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.

Denoising Graph Generation

Scientific Large Language Models: A Survey on Biological & Chemical Domains

1 code implementation26 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.

Feature Selection via Maximizing Distances between Class Conditional Distributions

no code implementations15 Jan 2024 Chunxu Cao, Qiang Zhang

Our framework directly explores the discriminative information of features in the sense of distributions for supervised classification.

feature selection

Study Features via Exploring Distribution Structure

no code implementations15 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.

feature selection Stochastic Optimization

Deep Blind Super-Resolution for Satellite Video

1 code implementation13 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.

Blind Super-Resolution Video Super-Resolution

Exploiting Polarized Material Cues for Robust Car Detection

1 code implementation5 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.

From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization

no code implementations4 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.

Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality

no code implementations30 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).

Evolutionary Algorithms

Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation

1 code implementation24 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.

Dialogue Generation

GenKIE: Robust Generative Multimodal Document Key Information Extraction

1 code implementation24 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.

Decoder Key Information Extraction +2

Fully Spiking Neural Network for Legged Robots

no code implementations8 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.

reinforcement-learning

InstructProtein: Aligning Human and Protein Language via Knowledge Instruction

no code implementations5 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.

Knowledge Graphs Protein Function Prediction +1

Physics-Aware Neural Dynamic Equivalence of Power Systems

no code implementations29 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.

Scalable Neural Dynamic Equivalence for Power Systems

no code implementations29 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.

Physics-informed machine learning

Spiking Denoising Diffusion Probabilistic Models

1 code implementation29 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.

Denoising

Graph Sampling-based Meta-Learning for Molecular Property Prediction

1 code implementation29 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.

Graph Sampling Meta-Learning +2

Knowledge-Enhanced Hierarchical Information Correlation Learning for Multi-Modal Rumor Detection

no code implementations28 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.

UltraGlove: Hand Pose Estimation with Mems-Ultrasonic Sensors

no code implementations22 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.

Hand Pose Estimation

Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models

1 code implementation29 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.

A Survey on Asking Clarification Questions Datasets in Conversational Systems

1 code implementation25 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.

Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems

1 code implementation24 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.

GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark

no code implementations11 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.

Entity Alignment Natural Language Understanding

Optimal Investment and Consumption Strategies with General and Linear Transaction Costs under CRRA Utility

no code implementations16 Apr 2023 Yingting Miao, Qiang Zhang

Transaction costs play a critical role in asset allocation and consumption strategies in portfolio management.

Management

DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation

no code implementations12 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.

Inductive Bias Line Detection +2

The Short Text Matching Model Enhanced with Knowledge via Contrastive Learning

no code implementations8 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.

Contrastive Learning Sentence +1

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels

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.

Language Modelling Self-Supervised Learning +1

MGeo: Multi-Modal Geographic Pre-Training Method

1 code implementation11 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.

Language Modelling

Efficient RGB-T Tracking via Cross-Modality Distillation

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.

Rgb-T Tracking

Predicted Trajectory Guidance Control Framework of Teleoperated Ground Vehicles Compensating for Delays

no code implementations6 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.

Causal Deep Reinforcement Learning Using Observational Data

no code implementations28 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.

Autonomous Driving Causal Inference +3

Wider and Higher: Intensive Integration and Global Foreground Perception for Image Matting

no code implementations13 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.

Decoder Image Matting

Masked Spiking Transformer

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.

Trajectory Tracking Control of the Bionic Joint Actuated by Pneumatic Artificial Muscle Based on Robust Modeling

no code implementations10 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.

Position

Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem

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.

Text Detection

Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking

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.

Decoder Dialogue State Tracking +2

Hybrid Routing Transformer for Zero-Shot Learning

no code implementations29 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.

Attribute Decoder +1

Unleashing the Power of Transformer for Graphs

no code implementations18 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.

Knowledge Graphs

Prompt-Guided Injection of Conformation to Pre-trained Protein Model

no code implementations7 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.

Language Modelling Masked Language Modeling +1

OntoProtein: Protein Pretraining With Gene Ontology Embedding

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.

Contrastive Learning Knowledge Graphs +2

On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification

1 code implementation11 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.

Auxiliary Learning Knowledge Distillation +2

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

no code implementations7 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.

Brain Tumor Segmentation Segmentation +1

FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification

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.

Person Re-Identification

A New Perspective on the Effects of Spectrum in Graph Neural Networks

1 code implementation14 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.

Graph Classification Graph Property Prediction +1

Molecular Contrastive Learning with Chemical Element Knowledge Graph

1 code implementation1 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.

Contrastive Learning Molecular Property Prediction +3

Structure-Aware Random Fourier Kernel for Graphs

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.

Gaussian Processes Graph Learning +1

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing

no code implementations9 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.

Contrastive Learning Imitation Learning +1

Depth-Aware Mirror Segmentation

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.

Segmentation

Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification

no code implementations23 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

Middle-level Fusion for Lightweight RGB-D Salient Object Detection

no code implementations23 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.

object-detection RGB-D Salient Object Detection +1

Smart Scribbles for Image Mating

no code implementations31 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.

Image Matting

Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images

1 code implementation29 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.

Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources

no code implementations11 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.

Management

Single-photon imaging over 200 km

no code implementations10 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.

Field-tunable toroidal moment in a chiral-lattice magnet

no code implementations1 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

Densely Nested Top-Down Flows for Salient Object Detection

1 code implementation18 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.

Object object-detection +2

Hierarchical excitations from correlated spin tetrahedra on the breathing pyrochlore lattice

no code implementations29 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

Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation

no code implementations26 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.

Slot Self-Attentive Dialogue State Tracking

1 code implementation22 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.

Dialogue State Tracking Task-Oriented Dialogue Systems

Multi-scale Information Assembly for Image Matting

no code implementations7 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.

Image Matting

Coherent optical communications using coherence-cloned Kerr soliton microcombs

no code implementations1 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.

A catastrophic charge density wave in BaFe$_2$Al$_9$

no code implementations1 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

Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets

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.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors

no code implementations23 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).

Image Super-Resolution

Self-Attentive Hawkes Processes

1 code implementation17 Jul 2019 Qiang Zhang, Aldo Lipani, Omer Kirnap, Emine Yilmaz

The proposed method adapts self-attention to fit the intensity function of Hawkes processes.

Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets

no code implementations29 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.

General Classification Image Classification

Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling

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.

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

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.

Single Image Deraining Vocal Bursts Intensity Prediction

Adversarial Attack and Defense on Point Sets

no code implementations28 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.

Adversarial Attack

GFCN: A New Graph Convolutional Network Based on Parallel Flows

no code implementations25 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.

General Classification Image Classification +1

Variational Self-attention Model for Sentence Representation

no code implementations30 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.

Sentence Stance Detection +1

MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs

no code implementations5 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.

Knowledge Graphs Semantic Similarity +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

Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling

no code implementations4 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.

Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series

no code implementations8 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.

Benchmarking Decision Making +2

Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network

1 code implementation1 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.

Denoising

Active Object Reconstruction Using a Guided View Planner

no code implementations8 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.

Object Object Reconstruction

A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning

no code implementations3 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).

Clustering Incremental Learning

Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network

1 code implementation23 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.

Cloud Removal STS

Learning a Dilated Residual Network for SAR Image Despeckling

1 code implementation9 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).

Sar Image Despeckling

Strategyproof Mechanisms for Additively Separable Hedonic Games and Fractional Hedonic Games

no code implementations27 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.

Sparse Representation based Multi-sensor Image Fusion: A Review

no code implementations12 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.

Dictionary Learning Infrared And Visible Image Fusion

Unsupervised Video Analysis Based on a Spatiotemporal Saliency Detector

no code implementations24 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.

Anomaly Detection Foreground Segmentation +5

Predicting Multiple Attributes via Relative Multi-task Learning

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.

Attribute Multi-Task Learning +1

Relative Hidden Markov Models for Evaluating Motion Skill

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.

Attribute

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