Weiqiang Wang

According to our database, Weiqiang Wang authored at least 68 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Agent Safety Alignment via Reinforcement Learning.

Zeyang Sha, Hanling Tian, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weiqiang Wang

CoRR, July, 2025

Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs.

Yikun Ji, Hong Yan, Jun Lan, Huijia Zhu, Weiqiang Wang, Qi Fan, Liqing Zhang, Jianfu Zhang

CoRR, June, 2025

Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks.

Haoxuan Sun, Yan Hong, Jiahui Zhan, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang

CoRR, May, 2025

COCO-Inpaint: A Benchmark for Image Inpainting Detection and Manipulation Localization.

Haozhen Yan, Yan Hong, Jiahui Zhan, Yikun Ji, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang

CoRR, April, 2025

Towards Explainable Fake Image Detection with Multi-Modal Large Language Models.

Yikun Ji, Yan Hong, Jiahui Zhan, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang

CoRR, April, 2025

InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation.

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

CoRR, April, 2025

Gumbel Reranking: Differentiable End-to-End Reranker Optimization.

Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Jingwen Leng, Minyi Guo, Zhouhan Lin

CoRR, February, 2025

Hunting in the Dark Forest: A Pre-trained Model for On-chain Attack Transaction Detection in Web3.

Zhiying Wu, Jiajing Wu, Hui Zhang, Zibin Zheng, Weiqiang Wang

Proceedings of the ACM on Web Conference 2025, 2025

Transferable and Forecastable User Targeting Foundation Model.

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Dual-Interest Adaptive Network for Click-Through Rate Prediction.

Xin-Wei Yao, Yu-Han Mil, Chuan He, Xinyi Fu, Weiqiang Wang, Qiang Li

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce.

Xu Liu, Yiqiang Lu, Jian Liu, Tianyi Zhang, Weiqiang Wang, Qian Liu, Shuai Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection.

Yan Hong, Jianming Feng, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Maintain Plasticity in Long-timescale Continual Test-time Adaptation.

Yanshuo Wang, Xuesong Li, Jinguang Tong, Jie Hong, Jun Lan, Weiqiang Wang, Huijia Zhu, Haoxing Chen

CoRR, 2024

Ultra-imbalanced classification guided by statistical information.

Yin Jin, Ningtao Wang, Ruofan Wu, Pengfei Shi, Xing Fu, Weiqiang Wang

CoRR, 2024

Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training.

Zizheng Huang, Haoxing Chen, Jiaqi Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Limin Wang

CoRR, 2024

E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion.

Ke Wang, Tianyu Xia, Zhangxuan Gu, Yi Zhao, Shuheng Shen, Changhua Meng, Weiqiang Wang, Ke Xu

CoRR, 2024

DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark.

Haoxing Chen, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Yaohui Li, Jun Lan, Huijia Zhu, Jianfu Zhang, Weiqiang Wang, Huaxiong Li

CoRR, 2024

Conditional Prototype Rectification Prompt Learning.

Haoxing Chen, Yaohui Li, Zizheng Huang, Yan Hong, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang

CoRR, 2024

TroubleLLM: Align to Red Team Expert.

Zhuoer Xu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang

CoRR, 2024

On provable privacy vulnerabilities of graph representations.

Ruofan Wu, Guanhua Fang, Qiying Pan, Mingyang Zhang, Tengfei Liu, Weiqiang Wang, Wenbiao Zhao

CoRR, 2024

Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport.

Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs.

Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

On provable privacy vulnerabilities of graph representations.

Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, Weiqiang Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Resource-Aware Federated Self-Supervised Learning with Global Class Representations.

Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning.

Yuxuan Duan, Yan Hong, Bo Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective.

Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Enhancing Fraud Transaction Detection via Unlabeled Suspicious Records.

Ye Wang, Yunpeng Liu, Ningtao Wang, Peiyang Li, Jiahao Hu, Xing Fu, Weiqiang Wang, Kun Sun, Qi Li, Ke Xu

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Mirror-Consistency: Harnessing Inconsistency in Majority Voting.

Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

COIN-Matting: Confounder Intervention for Image Matting.

Zhaohe Liao, Jiangtong Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Li Niu, Liqing Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion.

Yan Hong, Yuxuan Duan, Bo Zhang, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing.

Chuanbiao Song, Yan Hong, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models.

Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Simulated Annealing Deep Q-learning Incentive Mechanism for Mobile Crowd Sensing.

Xin-Wei Yao, Weiwei Xing, Chu-Feng Qi, Qiang Li, Wei-Qiang Wang, Xing Fu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training.

Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.

Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning.

Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng

CoRR, 2023

Boosting Audio-visual Zero-shot Learning with Large Language Models.

Haoxing Chen, Yaohui Li, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang

CoRR, 2023

Privacy-preserving design of graph neural networks with applications to vertical federated learning.

Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang

CoRR, 2023

FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks.

Qiying Pan, Ruofan Wu, Tengfei Liu, Tianyi Zhang, Yifei Zhu, Weiqiang Wang

CoRR, 2023

ControlCom: Controllable Image Composition using Diffusion Model.

Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, Li Niu

CoRR, 2023

DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk.

Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang

CoRR, 2023

Multi-Aspect Heterogeneous Graph Augmentation.

Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang

Proceedings of the ACM Web Conference 2023, 2023

Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification.

Yunpeng Liu, Kexin Li, Zhuotao Liu, Bihan Wen, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Qi Li

Proceedings of the ACM Web Conference 2023, 2023

Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding.

Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin

Proceedings of the ACM Web Conference 2023, 2023

Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions.

Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiffUTE: Universal Text Editing Diffusion Model.

Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.

Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Hierarchical Dynamic Image Harmonization.

Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders.

Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Self-supervision meets kernel graph neural models: From architecture to augmentations.

Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

Backpropagation Path Search On Adversarial Transferability.

Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mobile User Interface Element Detection Via Adaptively Prompt Tuning.

Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GUARD: Graph Universal Adversarial Defense.

Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Momentum Loss Reweighting Method for Improving Recall.

Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer.

Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network.

Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DiffusionInst: Diffusion Model for Instance Segmentation.

Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang

CoRR, 2022

MaskGAE: Masked Graph Modeling Meets Graph Autoencoders.

Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang

CoRR, 2022

GUARD: Graph Universal Adversarial Defense.

Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang

CoRR, 2022

MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees.

Zhenzhe Ying, Zhuoer Xu, Zhifeng Li, Weiqiang Wang, Changhua Meng

CoRR, 2022

A2: Efficient Automated Attacker for Boosting Adversarial Training.

Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Design Domain Specific Neural Network via Symbolic Testing.

Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GRANDE: a neural model over directed multigraphs with application to anti-money laundering.

Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang

Proceedings of the IEEE International Conference on Data Mining, 2022

Heterogeneous Graph Node Classification With Multi-Hops Relation Features.

Xiaolong Xu, Lingjuan Lyu, Hong Jin, Weiqiang Wang, Shuo Jia

Proceedings of the IEEE International Conference on Acoustics, 2022

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding.

Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing.

Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi

CoRR, 2021

A Vertical Federated Learning Framework for Graph Convolutional Network.

Xiang Ni, Xiaolong Xu, Lingjuan Lyu, Changhua Meng, Weiqiang Wang

CoRR, 2021

Fine-Grained Element Identification in Complaint Text of Internet Fraud.

Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021