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Weiqiang Wang
Wei-Qiang Wang
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- Weiqiang Wang 0001 — University of Chinese Academy of Sciences, School of Computer Science and Technology, Beijing, China (and 1 more)
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2020 – today
- 2024
- [j22]Weiqiang Wang, Xu Zhou, Benlian Xu, Siwen Chen, Mingli Lu, Jun Li, Yuejiang Gu:
Few-shot reasoning-based safe reinforcement learning framework for autonomous robot navigation. Int. J. Autom. Control. 18(1): 30-52 (2024) - [j21]R. W. W. M. U. P. Wanigasekara, Zhenqiu Zhang, Weiqiang Wang, Yao Luo, Gang Pan:
Application of Fast MEEMD-ConvLSTM in Sea Surface Temperature Predictions. Remote. Sens. 16(13): 2468 (2024) - [j20]Feimin Huang, Weiqiang Wang, Yi Wang, Yong Wang:
Uniqueness of Composite Wave of Shock and Rarefaction in the Inviscid Limit of Navier-Stokes Equations. SIAM J. Math. Anal. 56(3): 3924-3967 (2024) - [c67]Yanjiang Liu, Tianyun Zhong, Yaojie Lu, Hongyu Lin, Ben He, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun:
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification. ACL (Findings) 2024: 5659-5672 - [c66]Lvxue Li, Jiaqi Chen, Xinyu Lu, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun:
Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations. ACL (Findings) 2024: 7203-7215 - [c65]Chunlei Xin, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun:
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning. LREC/COLING 2024: 2307-2317 - [c64]Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang:
Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training. LREC/COLING 2024: 5922-5929 - [c63]Kun Wu, Xinyi Mou, Lanqing Xue, Zhenzhe Ying, Weiqiang Wang, Qi Zhang, Xuanjing Huang, Zhongyu Wei:
PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph. LREC/COLING 2024: 12644-12656 - [c62]Xin-Wei Yao, Weiwei Xing, Chu-Feng Qi, Qiang Li, Wei-Qiang Wang, Xing Fu:
Simulated Annealing Deep Q-learning Incentive Mechanism for Mobile Crowd Sensing. CSCWD 2024: 661-668 - [c61]Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang:
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models. CVPR 2024: 26607-26616 - [c60]Yongchang Zhang, Rui Zhang, Wenhu Huang, Xiaolie Wu, Weiqiang Wang:
SBEVP: Ship Behavior and Encounter Scenario Visualization Platform. DASFAA (7) 2024: 503-507 - [c59]Dazhong Rong, Guoyao Yu, Shuheng Shen, Xinyi Fu, Peng Qian, Jianhai Chen, Qinming He, Xing Fu, Weiqiang Wang:
Clean-Image Backdoor Attacks. ICANN (10) 2024: 187-202 - [c58]Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen:
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. KDD 2024: 1968-1979 - [c57]Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang:
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. ECML/PKDD (10) 2024: 133-149 - [c56]Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng:
Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. SIGIR 2024: 1722-1732 - [i45]Ruofan Wu, Guanhua Fang, Qiying Pan, Mingyang Zhang, Tengfei Liu, Weiqiang Wang, Wenbiao Zhao:
On provable privacy vulnerabilities of graph representations. CoRR abs/2402.04033 (2024) - [i44]Zhuoer Xu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
TroubleLLM: Align to Red Team Expert. CoRR abs/2403.00829 (2024) - [i43]Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang:
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models. CoRR abs/2403.02781 (2024) - [i42]Dazhong Rong, Guoyao Yu, Shuheng Shen, Xinyi Fu, Peng Qian, Jianhai Chen, Qinming He, Xing Fu, Weiqiang Wang:
Clean-image Backdoor Attacks. CoRR abs/2403.15010 (2024) - [i41]Haoxing Chen, Yaohui Li, Zizheng Huang, Yan Hong, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang:
Conditional Prototype Rectification Prompt Learning. CoRR abs/2404.09872 (2024) - [i40]Chuanbiao Song, Yan Hong, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing. CoRR abs/2405.18853 (2024) - [i39]Haoxing Chen, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Yaohui Li, Jun Lan, Huijia Zhu, Jianfu Zhang, Weiqiang Wang, Huaxiong Li:
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark. CoRR abs/2405.19707 (2024) - [i38]Ke Wang, Tianyu Xia, Zhangxuan Gu, Yi Zhao, Shuheng Shen, Changhua Meng, Weiqiang Wang, Ke Xu:
E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion. CoRR abs/2406.14250 (2024) - [i37]Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen:
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. CoRR abs/2406.14288 (2024) - [i36]Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang:
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. CoRR abs/2407.18523 (2024) - [i35]Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin:
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning. CoRR abs/2408.17053 (2024) - [i34]Zizheng Huang, Haoxing Chen, Jiaqi Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Limin Wang:
Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training. CoRR abs/2408.17081 (2024) - 2023
- [j19]Shengdong Shi, Qian Jiang, Xin Jin, Weiqiang Wang, Kaihua Liu, Haiyang Chen, Peng Liu, Wei Zhou, Shaowen Yao:
A comparative analysis of near-infrared image colorization methods for low-power NVIDIA Jetson embedded systems. Frontiers Neurorobotics 17 (2023) - [j18]Weiqiang Wang, Haiyan Tian:
Application of Multivariate Video Analysis in English Teaching Effect Evaluation Based on Computational Neural Model Simulation. Int. J. Web Based Learn. Teach. Technol. 18(2): 1-16 (2023) - [j17]Shuiye Wu, Yunbing Yan, Weiqiang Wang:
CF-YOLOX: An Autonomous Driving Detection Model for Multi-Scale Object Detection. Sensors 23(8): 3794 (2023) - [c55]Qiang Lyu, Weiqiang Wang:
Compositional Prototypical Networks for Few-Shot Classification. AAAI 2023: 9011-9019 - [c54]Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun:
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. AAAI 2023: 14153-14160 - [c53]Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang:
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer. CIKM 2023: 234-244 - [c52]Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang:
A Momentum Loss Reweighting Method for Improving Recall. CIKM 2023: 997-1003 - [c51]Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CIKM 2023: 1198-1207 - [c50]Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang:
Mobile User Interface Element Detection Via Adaptively Prompt Tuning. CVPR 2023: 11155-11164 - [c49]Guiqin Zhao, Lianlei Shan, Weiqiang Wang:
End-to-End Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters. ICANN (2) 2023: 259-270 - [c48]Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
Backpropagation Path Search On Adversarial Transferability. ICCV 2023: 4640-4650 - [c47]Xiaoli Zhang, Zhicheng Xu, Hongbing Cheng, Tong Che, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Chunping Wang, Qi Li:
Secure Collaborative Learning in Mining Pool via Robust and Efficient Verification. ICDCS 2023: 794-805 - [c46]Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang:
Self-supervision meets kernel graph neural models: From architecture to augmentations. ICDM (Workshops) 2023: 1076-1083 - [c45]Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. KDD 2023: 1268-1279 - [c44]Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li:
Hierarchical Dynamic Image Harmonization. ACM Multimedia 2023: 1422-1430 - [c43]Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng:
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. ACM Multimedia 2023: 1536-1545 - [c42]Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang:
DiffUTE: Universal Text Editing Diffusion Model. NeurIPS 2023 - [c41]Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang:
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. NeurIPS 2023 - [c40]Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang:
Multi-Aspect Heterogeneous Graph Augmentation. WWW 2023: 39-48 - [c39]Yunpeng Liu, Kexin Li, Zhuotao Liu, Bihan Wen, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Qi Li:
Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification. WWW 2023: 1980-1990 - [c38]Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin:
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. WWW 2023: 2306-2317 - [i33]Xiaolong Xu, Lingjuan Lyu, Yihong Dong, Yicheng Lu, Weiqiang Wang, Hong Jin:
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention. CoRR abs/2301.12885 (2023) - [i32]Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang:
GRANDE: a neural model over directed multigraphs with application to anti-money laundering. CoRR abs/2302.02101 (2023) - [i31]Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang:
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk. CoRR abs/2303.03933 (2023) - [i30]Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang:
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. CoRR abs/2303.10358 (2023) - [i29]Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin:
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. CoRR abs/2304.02932 (2023) - [i28]Yuzhong Zhao, Weijia Wu, Zhuang Li, Jiahong Li, Weiqiang Wang:
FlowText: Synthesizing Realistic Scene Text Video with Optical Flow Estimation. CoRR abs/2305.03327 (2023) - [i27]Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang:
Mobile User Interface Element Detection Via Adaptively Prompt Tuning. CoRR abs/2305.09699 (2023) - [i26]Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang:
DiffUTE: Universal Text Editing Diffusion Model. CoRR abs/2305.10825 (2023) - [i25]Qiang Lyu, Weiqiang Wang:
Compositional Prototypical Networks for Few-Shot Classification. CoRR abs/2306.06584 (2023) - [i24]Guiqin Zhao, Lianlei Shan, Weiqiang Wang:
End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters. CoRR abs/2307.15128 (2023) - [i23]Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
Backpropagation Path Search On Adversarial Transferability. CoRR abs/2308.07625 (2023) - [i22]Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang:
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer. CoRR abs/2308.09724 (2023) - [i21]Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, Li Niu:
ControlCom: Controllable Image Composition using Diffusion Model. CoRR abs/2308.10040 (2023) - [i20]Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng:
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. CoRR abs/2308.11646 (2023) - [i19]Qiying Pan, Ruofan Wu, Tengfei Liu, Tianyi Zhang, Yifei Zhu, Weiqiang Wang:
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks. CoRR abs/2309.09517 (2023) - [i18]Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang:
Self-supervision meets kernel graph neural models: From architecture to augmentations. CoRR abs/2310.11281 (2023) - [i17]Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang:
Privacy-preserving design of graph neural networks with applications to vertical federated learning. CoRR abs/2310.20552 (2023) - [i16]Haoxing Chen, Yaohui Li, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang:
Boosting Audio-visual Zero-shot Learning with Large Language Models. CoRR abs/2311.12268 (2023) - [i15]Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng:
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR abs/2311.16605 (2023) - 2022
- [j16]Si-Bao Chen, Yu-Xin Ji, Jin Tang, Bin Luo, Wei-Qiang Wang, Ke Lv:
DBRANet: Road Extraction by Dual-Branch Encoder and Regional Attention Decoder. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j15]Usman Muhammad, Md. Ziaul Hoque, Weiqiang Wang, Mourad Oussalah:
Patch-Based Discriminative Learning for Remote Sensing Scene Classification. Remote. Sens. 14(23): 5913 (2022) - [j14]Weiqiang Wang, Yuanjun Guo, Wenkai Xiong, Yongqing Fu, Ahmed Elmarakbi, Xiaotao Zu:
Highly Sensitive and Selective Surface Acoustic Wave Ammonia Sensor Operated at Room Temperature with a Polyacrylic Acid Sensing Layer. Sensors 22(17): 6349 (2022) - [j13]Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng:
eRiskCom: an e-commerce risky community detection platform. VLDB J. 31(5): 1085-1101 (2022) - [c37]Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang:
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. CVPR 2022: 4573-4582 - [c36]Weiqiang Wang, Haiyang Chen, Xingzhou Zhang, Wei Zhou, Weisong Shi:
Aprus: An Airborne Altitude-Adaptive Purpose-Related UAV System for Object Detection. HPCC/DSS/SmartCity/DependSys 2022: 402-411 - [c35]Xiaolong Xu, Lingjuan Lyu, Hong Jin, Weiqiang Wang, Shuo Jia:
Heterogeneous Graph Node Classification With Multi-Hops Relation Features. ICASSP 2022: 5867-5871 - [c34]Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang:
GRANDE: a neural model over directed multigraphs with application to anti-money laundering. ICDM 2022: 558-567 - [c33]Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. ICLR 2022 - [c32]Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi:
Design Domain Specific Neural Network via Symbolic Testing. KDD 2022: 3219-3229 - [c31]Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang:
A2: Efficient Automated Attacker for Boosting Adversarial Training. NeurIPS 2022 - [c30]Haiyang Chen, Weiqiang Wang, Xingzhou Zhang, Wei Zhou, Weisong Shi:
LightOcean: A Lightweight And Efficient Network For Real-time UAV Tracking. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 218-226 - [c29]Weiqiang Wang, Hantao Zhao, Jinyuan Jia:
Lightweight Collision Detection Algorithm in Web3D Robot Simulation Platform. VR Workshops 2022: 75-80 - [i14]Zhenzhe Ying, Zhuoer Xu, Zhifeng Li, Weiqiang Wang, Changhua Meng:
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees. CoRR abs/2201.06239 (2022) - [i13]Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang:
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. CoRR abs/2203.06947 (2022) - [i12]Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CoRR abs/2204.09803 (2022) - [i11]Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. CoRR abs/2205.10053 (2022) - [i10]Weixi Zhao, Weiqiang Wang:
K-Order Graph-oriented Transformer with GraAttention for 3D Pose and Shape Estimation. CoRR abs/2208.11328 (2022) - [i9]Weiqiang Wang, Xuefei Zhe, Huan Chen, Di Kang, Tingguang Li, Ruizhi Chen, Linchao Bao:
NEURAL MARIONETTE: A Transformer-based Multi-action Human Motion Synthesis System. CoRR abs/2209.13204 (2022) - [i8]Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang:
A2: Efficient Automated Attacker for Boosting Adversarial Training. CoRR abs/2210.03543 (2022) - [i7]Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li:
Hierarchical Dynamic Image Harmonization. CoRR abs/2211.08639 (2022) - [i6]Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu, Weiqiang Wang:
Differentially Private Learning with Per-Sample Adaptive Clipping. CoRR abs/2212.00328 (2022) - [i5]Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang:
DiffusionInst: Diffusion Model for Instance Segmentation. CoRR abs/2212.02773 (2022) - 2021
- [j12]Yang Yu, Maria Rashidi, Bijan Samali, Amir M. Yousefi, Weiqiang Wang:
Multi-Image-Feature-Based Hierarchical Concrete Crack Identification Framework Using Optimized SVM Multi-Classifiers and D-S Fusion Algorithm for Bridge Structures. Remote. Sens. 13(2): 240 (2021) - [j11]Jie Yang, Weiqiang Wang, Kai Ma, Bo Yang, Chunxia Dou:
Optimization and Self-Adaptive Dispatching Strategy for Multiple Shared Battery Stations of Electric Vehicles. IEEE Trans. Ind. Informatics 17(2): 1363-1374 (2021) - [c28]Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang:
Fine-Grained Element Identification in Complaint Text of Internet Fraud. CIKM 2021: 3268-3272 - [c27]Wei Zhang, Xubin Sun, Shunyao Yang, Zhongning Yu, Weiqiang Wang, Yingshun Liu:
Optimization of Speed Curve for Energy-saving of Freight Train Based on Equivalent Gradient. ITSC 2021: 3438-3443 - [c26]Weiqiang Wang, Jinyuan Jia:
Online Collision Avoidance Algorithm for Lightweight Web3D Robot Based on M-BVH. SETE 2021: 158-165 - [i4]Xiang Ni, Xiaolong Xu, Lingjuan Lyu, Changhua Meng, Weiqiang Wang:
A Vertical Federated Learning Framework for Graph Convolutional Network. CoRR abs/2106.11593 (2021) - [i3]Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi:
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing. CoRR abs/2107.01326 (2021) - [i2]Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. CoRR abs/2109.01300 (2021) - 2020
- [j10]Weiqiang Wang:
Deployment and optimization of wireless network node deployment and optimization in smart cities. Comput. Commun. 155: 117-124 (2020) - [j9]Weiqiang Wang:
Optimization of wireless network node deployment in smart city based on adaptive particle swarm optimization. J. Intell. Fuzzy Syst. 39(4): 4959-4969 (2020) - [c25]Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang:
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. AAAI 2020: 4667-4674 - [c24]Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang:
Online Positive and Unlabeled Learning. IJCAI 2020: 2248-2254 - [c23]Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu:
SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. KDD 2020: 1103-1113
2010 – 2019
- 2019
- [j8]Jie Yang, Weiqiang Wang, Kai Ma, Bo Yang:
Optimal Dispatching Strategy for Shared Battery Station of Electric Vehicle by Divisional Battery Control. IEEE Access 7: 38224-38235 (2019) - [j7]Usman Muhammad, Weiqiang Wang, Abdenour Hadid, Shahbaz Pervez:
Bag of words KAZE (BoWK) with two-step classification for high-resolution remote sensing images. IET Comput. Vis. 13(4): 395-403 (2019) - [j6]Suxia Liu, Yingming Zhu, Weiqiang Wang, Yu Pei, Kuanqi Du:
The Environmental Pollution Effects of Industrial Agglomeration: A Spatial Econometric Analysis Based on Chinese City Data. Int. J. Agric. Environ. Inf. Syst. 10(3): 14-29 (2019) - [c22]