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ORCIDWeiqiang Wang 0002
Wei-Qiang Wang 0002
Person information
- affiliation: Ant Group, Hangzhou, China
- affiliation (PhD 2008): University of Southern California, Los Angeles, CA, USA
Other persons with the same name
- Weiqiang Wang (aka: Wei-Qiang Wang) — disambiguation page
- Weiqiang Wang 0001
![[0000-0001-5734-1226]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5734-1226")
— University of Chinese Academy of Sciences, School of Computer Science and Technology, Beijing, China (and 1 more)
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2020 – today
- 2025
[c39]Yan Hong, Jianming Feng, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection. AAAI 2025: 3500-3508- [c38]Xu Liu, Yiqiang Lu, Jian Liu, Tianyi Zhang, Weiqiang Wang, Qian Liu, Shuai Li:
Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce. AAAI 2025: 28783-28791 - [c37]Zhiying Wu, Jiajing Wu, Hui Zhang, Zibin Zheng, Weiqiang Wang:
Hunting in the Dark Forest: A Pre-trained Model for On-chain Attack Transaction Detection in Web3. WWW 2025: 4519-4530 - [i40]Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Jingwen Leng, Minyi Guo, Zhouhan Lin:
Gumbel Reranking: Differentiable End-to-End Reranker Optimization. CoRR abs/2502.11116 (2025) - [i39]Yukang Lin, Yan Hong, Zunnan Xu, Xindi Li, Chao Xu, Chuanbiao Song, Ronghui Li, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Xiu Li:
InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation. CoRR abs/2504.10905 (2025) - [i38]Yikun Ji, Yan Hong, Jiahui Zhan, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang:
Towards Explainable Fake Image Detection with Multi-Modal Large Language Models. CoRR abs/2504.14245 (2025) - [i37]Haozhen Yan, Yan Hong, Jiahui Zhan, Yikun Ji, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
COCO-Inpaint: A Benchmark for Image Inpainting Detection and Manipulation Localization. CoRR abs/2504.18361 (2025) - 2024
- [c36]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. CIKM 2024: 301-311 - [c35]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 - [c34]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 - [c33]Chuanbiao Song, Yan Hong, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing. CVPR Workshops 2024: 980-985 - [c32]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 - [c31]Yan Hong, Yuxuan Duan, Bo Zhang, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion. ECCV (44) 2024: 1-18 - [c30]Zhaohe Liao, Jiangtong Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Li Niu, Liqing Zhang:
COIN-Matting: Confounder Intervention for Image Matting. ECCV (19) 2024: 382-397 - [c29]Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin:
Mirror-Consistency: Harnessing Inconsistency in Majority Voting. EMNLP (Findings) 2024: 2408-2420 - [c28]Ye Wang, Yunpeng Liu, Ningtao Wang, Peiyang Li, Jiahao Hu, Xing Fu, Weiqiang Wang, Kun Sun, Qi Li, Ke Xu:
Enhancing Fraud Transaction Detection via Unlabeled Suspicious Records. IWQoS 2024: 1-10 - [c27]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 - [c26]Yuxuan Duan, Yan Hong, Bo Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang:
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning. NeurIPS 2024 - [c25]Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu:
Resource-Aware Federated Self-Supervised Learning with Global Class Representations. NeurIPS 2024 - [c24]Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, Weiqiang Wang:
On provable privacy vulnerabilities of graph representations. NeurIPS 2024 - [c23]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 - [c22]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 - [i36]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) - [i35]Zhuoer Xu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
TroubleLLM: Align to Red Team Expert. CoRR abs/2403.00829 (2024) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]Yin Jin, Ningtao Wang, Ruofan Wu, Pengfei Shi, Xing Fu, Weiqiang Wang:
Ultra-imbalanced classification guided by statistical information. CoRR abs/2409.04101 (2024) - [i27]Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin:
Mirror-Consistency: Harnessing Inconsistency in Majority Voting. CoRR abs/2410.10857 (2024) - [i26]Yuxuan Duan, Yan Hong, Bo Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang:
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning. CoRR abs/2411.04571 (2024) - [i25]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. CoRR abs/2411.06878 (2024) - [i24]Bin Dou, Baokun Wang, Yun Zhu, Xiaotong Lin, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong:
Transferable and Forecastable User Targeting Foundation Model. CoRR abs/2412.12468 (2024) - [i23]Yanshuo Wang, Xuesong Li, Jinguang Tong, Jie Hong, Jun Lan, Weiqiang Wang, Huijia Zhu, Haoxing Chen:
Maintain Plasticity in Long-timescale Continual Test-time Adaptation. CoRR abs/2412.20034 (2024) - 2023
- [c21]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 - [c20]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 - [c19]Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang:
A Momentum Loss Reweighting Method for Improving Recall. CIKM 2023: 997-1003 - [c18]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 - [c17]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 - [c16]Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
Backpropagation Path Search On Adversarial Transferability. ICCV 2023: 4640-4650 - [c15]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 - [c14]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 - [c13]Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li:
Hierarchical Dynamic Image Harmonization. ACM Multimedia 2023: 1422-1430 - [c12]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 - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]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 - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
Backpropagation Path Search On Adversarial Transferability. CoRR abs/2308.07625 (2023) - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]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
- [c6]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 - [c5]Xiaolong Xu, Lingjuan Lyu, Hong Jin, Weiqiang Wang, Shuo Jia:
Heterogeneous Graph Node Classification With Multi-Hops Relation Features. ICASSP 2022: 5867-5871 - [c4]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 - [c3]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 - [c2]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 - [i9]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) - [i8]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) - [i7]Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CoRR abs/2204.09803 (2022) - [i6]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) - [i5]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) - [i4]Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li:
Hierarchical Dynamic Image Harmonization. CoRR abs/2211.08639 (2022) - [i3]Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang:
DiffusionInst: Diffusion Model for Instance Segmentation. CoRR abs/2212.02773 (2022) - 2021
- [c1]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 - [i2]Xiang Ni, Xiaolong Xu, Lingjuan Lyu, Changhua Meng, Weiqiang Wang:
A Vertical Federated Learning Framework for Graph Convolutional Network. CoRR abs/2106.11593 (2021) - [i1]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)
Coauthor Index
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