Wang, Weiqiang

34 publications

AAAI 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

IJCAI 2025 Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement Weiwei Feng, Nanqing Xu, Tengfei Liu, Weiqiang Wang

ICML 2025 OW-VAP: Visual Attribute Parsing for Open World Object Detection Xing Xi, Xing Fu, Weiqiang Wang, Ronghua Luo

AAAI 2025 Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment Yiran Qiao, Ningtao Wang, Yuncong Gao, Yang Yang, Xing Fu, Weiqiang Wang, Xiang Ao

ICCV 2025 OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM Jinhong Wang, Shuo Tong, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Hongxia Xu, Danny Z. Chen, Jintai Chen, Jian Wu

CVPR 2025 Scalable Autoregressive Monocular Depth Estimation Jinhong Wang, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Danny Chen, Jintai Chen, Jian Wu

ICML 2025 Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training Zizheng Huang, Haoxing Chen, Jiaqi Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Limin Wang

AAAI 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

ECCV 2024 COIN-Matting: Confounder Intervention for Image Matting Zhaohe Liao, Jiangtong Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Li Niu, Liqing Zhang

ECCV 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

NeurIPS 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

IJCAI 2024 Estimating Conditional Average Treatment Effects via Sufficient Representation Learning Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin

ECML-PKDD 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

NeurIPS 2024 On Provable Privacy Vulnerabilities of Graph Representations Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, Weiqiang Wang

CVPR 2024 PromptKD: Unsupervised Prompt Distillation for Vision-Language Models Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang

IJCAI 2024 Protecting Split Learning by Potential Energy Loss Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin

NeurIPS 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

CVPRW 2024 Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing Chuanbiao Song, Yan Hong, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang

ICCV 2023 Backpropagation Path Search on Adversarial Transferability Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang

AAAI 2023 Compositional Prototypical Networks for Few-Shot Classification Qiang Lyu, Weiqiang Wang

NeurIPS 2023 DiffUTE: Universal Text Editing Diffusion Model Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, 行郑, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang

NeurIPSW 2023 FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks Qiying Pan, Ruofan Wu, Tengfei Liu, Tianyi Zhang, Yifei Zhu, Weiqiang Wang

CVPR 2023 Mobile User Interface Element Detection via Adaptively Prompt Tuning Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang

NeurIPS 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

NeurIPSW 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

AAAI 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

NeurIPS 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

CVPR 2022 GraFormer: Graph-Oriented Transformer for 3D Pose Estimation Weixi Zhao, Weiqiang Wang, Yunjie Tian

ICLR 2022 How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun

CVPR 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

AAAI 2021 HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles Ji Gan, Weiqiang Wang

AAAI 2021 Rethinking Object Detection in Retail Stores Yuanqiang Cai, Longyin Wen, Libo Zhang, Dawei Du, Weiqiang Wang

AAAI 2020 Coupled-View Deep Classifier Learning from Multiple Noisy Annotators Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang

IJCAI 2020 Online Positive and Unlabeled Learning Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang