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 002; Xuanjing Huang 001 (CIKM, 2021)

A Vertical Federated Learning Framework for Graph Convolutional Network. - Xiang Ni; Xiaolong Xu; Lingjuan Lyu; Changhua Meng; Weiqiang Wang 002 (CoRR, 2021)

SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing. - Hui Li 061; Xing Fu; Ruofan Wu; Jinyu Xu; Kai Xiao; Xiaofu Chang; Weiqiang Wang 002; Shuai Chen; Leilei Shi; Tao Xiong; Yuan Qi 001 (CoRR, 2021)

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. - Zhangxuan Gu; Changhua Meng; Ke Wang 042; Jun Lan; Weiqiang Wang 002; Ming Gu 011; Liqing Zhang 001 (CVPR, 2022)

Heterogeneous Graph Node Classification With Multi-Hops Relation Features. - Xiaolong Xu; Lingjuan Lyu; Hong Jin; Weiqiang Wang 002; Shuo Jia (ICASSP, 2022)

GRANDE: a neural model over directed multigraphs with application to anti-money laundering. - Ruofan Wu; Boqun Ma; Hong Jin; Wenlong Zhao 013; Weiqiang Wang 002; Tianyi Zhang (ICDM, 2022)

Design Domain Specific Neural Network via Symbolic Testing. - Hui Li 061; Xing Fu; Ruofan Wu; Jinyu Xu; Kai Xiao; Xiaofu Chang; Weiqiang Wang 002; Shuai Chen; Leilei Shi; Tao Xiong; Yuan Qi 001 (KDD, 2022)

A2: Efficient Automated Attacker for Boosting Adversarial Training. - Zhuoer Xu; Guanghui Zhu; Changhua Meng; Shiwen Cui; Zhenzhe Ying; Weiqiang Wang 002; Ming Gu 011; Yihua Huang 001 (NeurIPS, 2022)

MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees. - Zhenzhe Ying; Zhuoer Xu; Zhifeng Li; Weiqiang Wang 002; Changhua Meng (CoRR, 2022)

GUARD: Graph Universal Adversarial Defense. - Jintang Li; Jie Liao; Ruofan Wu; Liang Chen 001; Changhua Meng; Zibin Zheng; Weiqiang Wang 002 (CoRR, 2022)

MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. - Jintang Li; Ruofan Wu; Wangbin Sun; Liang Chen 001; Sheng Tian; Liang Zhu; Changhua Meng; Zibin Zheng; Weiqiang Wang 002 (CoRR, 2022)

DiffusionInst: Diffusion Model for Instance Segmentation. - Zhangxuan Gu; Haoxing Chen; Zhuoer Xu; Jun Lan; Changhua Meng; Weiqiang Wang 002 (CoRR, 2022)

Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. - Ziwei Chai; Yang Yang 009; Jiawang Dan; Sheng Tian; Changhua Meng; Weiqiang Wang 002; Yifei Sun 002 (AAAI, 2023)

Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer. - Liyue Chen; Linian Wang; Jinyu Xu; Shuai Chen; Weiqiang Wang 002; Wenbiao Zhao; Qiyu Li; Leye Wang (CIKM, 2023)

A Momentum Loss Reweighting Method for Improving Recall. - Chenzhi Jiang; Yin Jin; Ningtao Wang; Ruofan Wu; Xing Fu; Weiqiang Wang 002 (CIKM, 2023)

GUARD: Graph Universal Adversarial Defense. - Jintang Li; Jie Liao; Ruofan Wu; Liang Chen 001; Zibin Zheng; Jiawang Dan; Changhua Meng; Weiqiang Wang 002 (CIKM, 2023)

Mobile User Interface Element Detection Via Adaptively Prompt Tuning. - Zhangxuan Gu; Zhuoer Xu; Haoxing Chen; Jun Lan; Changhua Meng; Weiqiang Wang 002 (CVPR, 2023)

Backpropagation Path Search On Adversarial Transferability. - Zhuoer Xu; Zhangxuan Gu; Jianping Zhang 002; Shiwen Cui; Changhua Meng; Weiqiang Wang 002 (ICCV, 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 002; Weiqiang Wang 002 (ICDM (Workshops), 2023)

What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. - Jintang Li; Ruofan Wu; Wangbin Sun; Liang Chen 001; Sheng Tian; Liang Zhu; Changhua Meng; Zibin Zheng; Weiqiang Wang 002 (KDD, 2023)

Hierarchical Dynamic Image Harmonization. - Haoxing Chen; Zhangxuan Gu; Yaohui Li; Jun Lan; Changhua Meng; Weiqiang Wang 002; Huaxiong Li (ACM Multimedia, 2023)

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. - Xinting Liao; Chaochao Chen 001; Weiming Liu 005; Pengyang Zhou; Huabin Zhu; Shuheng Shen; Weiqiang Wang 002; Mengling Hu; Yanchao Tan; Xiaolin Zheng (ACM Multimedia, 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 002 (NeurIPS, 2023)

Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. - Ruofan Wu; Jiawei Qiao; Mingzhe Wu; Wen Yu 002; Ming Zheng; Tengfei Liu; Tianyi Zhang; Weiqiang Wang 002 (NeurIPS, 2023)

Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. - Yuke Hu; Wei Liang; Ruofan Wu; Kai Xiao; Weiqiang Wang 002; Xiaochen Li; Jinfei Liu; Zhan Qin (WWW, 2023)

Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification. - Yunpeng Liu; Kexin Li; Zhuotao Liu; Bihan Wen; Ke Xu 002; Weiqiang Wang 002; Wenbiao Zhao; Qi Li 002 (WWW, 2023)

Multi-Aspect Heterogeneous Graph Augmentation. - Yuchen Zhou; Yanan Cao 001; Yongchao Liu; Yanmin Shang; Peng Zhang 001; Zheng Lin 001; Yun Yue; Baokun Wang; Xing Fu; Weiqiang Wang 002 (WWW, 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 002 (CoRR, 2023)

ControlCom: Controllable Image Composition using Diffusion Model. - Bo Zhang 075; Yuxuan Duan; Jun Lan; Yan Hong 001; Huijia Zhu; Weiqiang Wang 002; Li Niu 002 (CoRR, 2023)

FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks. - Qiying Pan; Ruofan Wu; Tengfei Liu; Tianyi Zhang; Yifei Zhu 001; Weiqiang Wang 002 (CoRR, 2023)

Privacy-preserving design of graph neural networks with applications to vertical federated learning. - Ruofan Wu; Mingyang Zhang 004; Lingjuan Lyu; Xiaolong Xu; Xiuquan Hao; Xinyi Fu; Tengfei Liu; Tianyi Zhang; Weiqiang Wang 002 (CoRR, 2023)

Boosting Audio-visual Zero-shot Learning with Large Language Models. - Haoxing Chen; Yaohui Li; Yan Hong 001; Zizheng Huang; Zhuoer Xu; Zhangxuan Gu; Jun Lan; Huijia Zhu; Weiqiang Wang 002 (CoRR, 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 002; Yuchang Zhu; Liang Chen 001; Zibin Zheng (CoRR, 2023)

DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. - Xi Chen 072; Yun Xiong; Siwei Zhang 001; Jiawei Zhang 001; Yao Zhang 009; Shiyang Zhou; Xixi Wu; Mingyang Zhang 004; Tengfei Liu; Weiqiang Wang 002 (CIKM, 2024)

Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training. - Zhiyuan Ma; Jintao Du; Changhua Meng; Weiqiang Wang 002 (LREC/COLING, 2024)

Simulated Annealing Deep Q-learning Incentive Mechanism for Mobile Crowd Sensing. - Xin-Wei Yao 001; Weiwei Xing; Chu-Feng Qi; Qiang Li 054; Wei-Qiang Wang 002; Xing Fu (CSCWD, 2024)

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models. - Zheng Li 028; Xiang Li 041; Xinyi Fu; Xin Zhang; Weiqiang Wang 002; Shuo Chen 003; Jian Yang 003 (CVPR, 2024)

Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing. - Chuanbiao Song; Yan Hong 001; Jun Lan; Huijia Zhu; Weiqiang Wang 002; Jianfu Zhang 003 (CVPR Workshops, 2024)

ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion. - Yan Hong 001; Yuxuan Duan; Bo Zhang 075; Haoxing Chen; Jun Lan; Huijia Zhu; Weiqiang Wang 002; Jianfu Zhang 003 (ECCV (44), 2024)

COIN-Matting: Confounder Intervention for Image Matting. - Zhaohe Liao; Jiangtong Li; Jun Lan; Huijia Zhu; Weiqiang Wang 002; Li Niu 002; Liqing Zhang 001 (ECCV (19), 2024)

Mirror-Consistency: Harnessing Inconsistency in Majority Voting. - Siyuan Huang 003; Zhiyuan Ma; Jintao Du; Changhua Meng; Weiqiang Wang 002; Zhouhan Lin (EMNLP (Findings), 2024)

Enhancing Fraud Transaction Detection via Unlabeled Suspicious Records. - Ye Wang 002; Yunpeng Liu; Ningtao Wang; Peiyang Li; Jiahao Hu; Xing Fu; Weiqiang Wang 002; Kun Sun 001; Qi Li 002; Ke Xu 002 (IWQoS, 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 002; Liang Chen 001 (KDD, 2024)

DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning. - Yuxuan Duan; Yan Hong 001; Bo Zhang 075; Jun Lan; Huijia Zhu; Weiqiang Wang 002; Jianfu Zhang 003; Li Niu 002; Liqing Zhang 001 (NeurIPS, 2024)

Resource-Aware Federated Self-Supervised Learning with Global Class Representations. - Mingyi Li; Xiao Zhang 015; Qi Wang; Tengfei Liu; Ruofan Wu; Weiqiang Wang 002; Fuzhen Zhuang; Hui Xiong 001; Dongxiao Yu (NeurIPS, 2024)

On provable privacy vulnerabilities of graph representations. - Ruofan Wu; Guanhua Fang; Mingyang Zhang 004; Qiying Pan; Tengfei Liu; Weiqiang Wang 002 (NeurIPS, 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 002 (ECML/PKDD (10), 2024)

Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. - Jiajie Su; Chaochao Chen 001; Weiming Liu 005; Zibin Lin; Shuheng Shen; Weiqiang Wang 002; Xiaolin Zheng (SIGIR, 2024)

On provable privacy vulnerabilities of graph representations. - Ruofan Wu; Guanhua Fang; Qiying Pan; Mingyang Zhang 004; Tengfei Liu; Weiqiang Wang 002; Wenbiao Zhao (CoRR, 2024)

TroubleLLM: Align to Red Team Expert. - Zhuoer Xu; Jianping Zhang 002; Shiwen Cui; Changhua Meng; Weiqiang Wang 002 (CoRR, 2024)

Conditional Prototype Rectification Prompt Learning. - Haoxing Chen; Yaohui Li; Zizheng Huang; Yan Hong 001; Zhuoer Xu; Zhangxuan Gu; Jun Lan; Huijia Zhu; Weiqiang Wang 002 (CoRR, 2024)

DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark. - Haoxing Chen; Yan Hong 001; Zizheng Huang; Zhuoer Xu; Zhangxuan Gu; Yaohui Li; Jun Lan; Huijia Zhu; Jianfu Zhang 003; Weiqiang Wang 002; Huaxiong Li (CoRR, 2024)

E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion. - Ke Wang 042; Tianyu Xia; Zhangxuan Gu; Yi Zhao 011; Shuheng Shen; Changhua Meng; Weiqiang Wang 002; Ke Xu 002 (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 002; Limin Wang (CoRR, 2024)

Ultra-imbalanced classification guided by statistical information. - Yin Jin; Ningtao Wang; Ruofan Wu; Pengfei Shi; Xing Fu; Weiqiang Wang 002 (CoRR, 2024)

Maintain Plasticity in Long-timescale Continual Test-time Adaptation. - Yanshuo Wang; Xuesong Li; Jinguang Tong; Jie Hong; Jun Lan; Weiqiang Wang 002; Huijia Zhu; Haoxing Chen (CoRR, 2024)

WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection. - Yan Hong 001; Jianming Feng; Haoxing Chen; Jun Lan; Huijia Zhu; Weiqiang Wang 002; Jianfu Zhang 003 (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 002; Qian Liu; Shuai Li (AAAI, 2025)

Dual-Interest Adaptive Network for Click-Through Rate Prediction. - Xin-Wei Yao 001; Yu-Han Mil; Chuan He 005; Xinyi Fu; Weiqiang Wang 002; Qiang Li 054 (CSCWD, 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 005; et al. (WWW (Companion Volume), 2025)

Hunting in the Dark Forest: A Pre-trained Model for On-chain Attack Transaction Detection in Web3. - Zhiying Wu; Jiajing Wu; Hui Zhang 002; Zibin Zheng; Weiqiang Wang 002 (WWW, 2025)

Gumbel Reranking: Differentiable End-to-End Reranker Optimization. - Siyuan Huang 003; Zhiyuan Ma; Jintao Du; Changhua Meng; Weiqiang Wang 002; Jingwen Leng; Minyi Guo; Zhouhan Lin (CoRR, 2025)

InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation. - Yukang Lin; Yan Hong 001; Zunnan Xu; Xindi Li; Chao Xu; Chuanbiao Song; Ronghui Li; Haoxing Chen; Jun Lan; Huijia Zhu; Weiqiang Wang 002; Jianfu Zhang 003; et al. (CoRR, 2025)

Towards Explainable Fake Image Detection with Multi-Modal Large Language Models. - Yikun Ji; Yan Hong 001; Jiahui Zhan; Haoxing Chen; Jun Lan; Huijia Zhu; Weiqiang Wang 002; Liqing Zhang 001; Jianfu Zhang 003 (CoRR, 2025)

COCO-Inpaint: A Benchmark for Image Inpainting Detection and Manipulation Localization. - Haozhen Yan; Yan Hong 001; Jiahui Zhan; Yikun Ji; Jun Lan; Huijia Zhu; Weiqiang Wang 002; Jianfu Zhang 003 (CoRR, 2025)

Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks. - Haoxuan Sun; Yan Hong 001; Jiahui Zhan; Haoxing Chen; Jun Lan; Huijia Zhu; Weiqiang Wang 002; Liqing Zhang 001; Jianfu Zhang 003 (CoRR, 2025)

Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs. - Yikun Ji; Hong Yan; Jun Lan; Huijia Zhu; Weiqiang Wang 002; Qi Fan; Liqing Zhang 001; Jianfu Zhang 003 (CoRR, 2025)

Agent Safety Alignment via Reinforcement Learning. - Zeyang Sha; Hanling Tian; Zhuoer Xu; Shiwen Cui; Changhua Meng; Weiqiang Wang 002 (CoRR, 2025)