Weiqiang Wang

According to our database, Weiqiang Wang authored at least 117 papers between 2009 and 2025.

Collaborative distances:

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

2025

Multi-Agent Reinforcement Learning for Task Offloading in Crowd-Edge Computing.

Su Yao, Mu Wang, Ju Ren, Tianyu Xia, Weiqiang Wang, Ke Xu, Mingwei Xu, Hongke Zhang

IEEE Trans. Mob. Comput., October, 2025

Instruction-aware User Embedding via Synergistic Language and Representation Modeling.

Ziyi Gao, Yike Xu, Jiahao Yuan, Baokun Wang, Jinyong Wen, Xiaotong Lin, Yun Liu, Xing Fu, Yu Cheng, Yongchao Liu, Weiqiang Wang, Zhongle Xie

CoRR, October, 2025

Zoom-In to Sort AI-Generated Images Out.

Yikun Ji, Yan Hong, Bowen Deng, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang

CoRR, October, 2025

GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection.

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

CoRR, September, 2025

VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results.

Yixiao Li, Xin Li, Chris Wei Zhou, Shuo Xing, Hadi Amirpour, Xiaoshuai Hao, Guanghui Yue, Baoquan Zhao, Weide Liu, Xiaoyuan Yang, Zhengzhong Tu, Xinyu Li, Chuanbiao Song, Chenqi Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Xiaoyan Sun, Shishun Tian, Dongyang Yan, Weixia Zhang, Junlin Chen, Wei Sun, Zhihua Wang, Zhuohang Shi, Zhizun Luo, Hang Ouyang, Tianxin Xiao, Fan Yang, Zhaowang Wu, Kaixin Deng

CoRR, September, 2025

Training LLMs to be Better Text Embedders through Bidirectional Reconstruction.

Chang Su, Dengliang Shi, Siyuan Huang, Jintao Du, Changhua Meng, Yu Cheng, Weiqiang Wang, Zhouhan Lin

CoRR, September, 2025

Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning.

Hao Tan, Jun Lan, Zichang Tan, Ajian Liu, Chuanbiao Song, Senyuan Shi, Huijia Zhu, Weiqiang Wang, Jun Wan, Zhen Lei

CoRR, August, 2025

UI-Venus Technical Report: Building High-performance UI Agents with RFT.

Zhangxuan Gu, Zhengwen Zeng, Zhenyu Xu, Xingran Zhou, Shuheng Shen, Yunfei Liu, Beitong Zhou, Changhua Meng, Tianyu Xia, Weizhi Chen, Yue Wen, Jingya Dou, Fei Tang, Jinzhen Lin, Yulin Liu, Zhenlin Guo, Yichen Gong, Heng Jia, Changlong Gao, Yuan Guo, Yong Deng, Zhenyu Guo, Liang Chen, Weiqiang Wang

CoRR, August, 2025

Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback.

Kejin Liu, Junhong Lian, Xiang Ao, Ningtao Wang, Xing Fu, Yu Cheng, Weiqiang Wang, Xinyu Liu

CoRR, August, 2025

Learning Unified User Quantized Tokenizers for User Representation.

Chuan He, Yang Chen, Wuliang Huang, Tianyi Zheng, Jianhu Chen, Bin Dou, Yice Luo, Yun Zhu, Baokun Wang, Yongchao Liu, Xing Fu, Yu Cheng, Chuntao Hong, Weiqiang Wang, Xin-Wei Yao

CoRR, August, 2025

EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO.

Wei Guan, Jun Lan, Jian Cao, Hao Tan, Huijia Zhu, Weiqiang Wang

CoRR, July, 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

DS-VTON: High-Quality Virtual Try-on via Disentangled Dual-Scale Generation.

Xianbing Sun, Yan Hong, Jiahui Zhan, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang

CoRR, June, 2025

FragFake: A Dataset for Fine-Grained Detection of Edited Images with Vision Language Models.

Zhen Sun, Ziyi Zhang, Zeren Luo, Zeyang Sha, Tianshuo Cong, Zheng Li, Shiwen Cui, Weiqiang Wang, Jiaheng Wei, Xinlei He, Qi Li, Qian Wang

CoRR, May, 2025

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning.

Ajian Liu, Haocheng Yuan, Xiao Guo, Hui Ma, Wanyi Zhuang, Changtao Miao, Yan Hong, Chuanbiao Song, Jun Lan, Qi Chu, Tao Gong, Yanyan Liang, Weiqiang Wang, Jun Wan, Xiaoming Liu, Zhen Lei

CoRR, May, 2025

SEM: Reinforcement Learning for Search-Efficient Large Language Models.

Zeyang Sha, Shiwen Cui, Weiqiang Wang

CoRR, May, 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

Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models.

Yule Liu, Jingyi Zheng, Zhen Sun, Zifan Peng, Wenhan Dong, Zeyang Sha, Shiwen Cui, Weiqiang Wang, Xinlei He

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

InsightVision: A Comprehensive, Multi-Level Chinese-based Benchmark for Evaluating Implicit Visual Semantics in Large Vision Language Models.

Xiaofei Yin, Yijie Hong, Ya Guo, Yi Tu, Weiqiang Wang, Gongshen Liu, Huijia Zhu

CoRR, February, 2025

Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models.

Yanjiang Liu, Shuheng Zhou, Yaojie Lu, Huijia Zhu, Weiqiang Wang, Hongyu Lin, Ben He, Xianpei Han, Le Sun

CoRR, January, 2025

Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense.

Yuke Hu, Yang Wang, Jian Lou, Wei Liang, Ruofan Wu, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin

IEEE Trans. Dependable Secur. Comput., 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

Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation.

Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xing Fu, Xinyi Fu, Chuntao Hong, Xinwei Yao

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement.

Weiwei Feng, Nanqing Xu, Tengfei Liu, Weiqiang Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

MicroTR: Transaction Reproduction Fault Diagnosis Framework for Microservice on Multi-Source Data.

Xin-Wei Yao, Yu-Hao Ma, Qi-Chao Lu, Xing Fu, Qiang Li, Weiqiang Wang, Kaigui Bian

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

AIGT: AI Generative Table Based on Prompt.

Mingming Zhang, Zhiqing Xiao, Guoshan Lu, Sai Wu, Weiqiang Wang, Xing Fu, Can Yi, Junbo Zhao

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering.

Chunlei Xin, Shuheng Zhou, Xuanang Chen, Yaojie Lu, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Sparse Latents Steer Retrieval-Augmented Generation.

Chunlei Xin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Xuanang Chen, Xinyan Guan, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

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

Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation.

Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xin Fu, Xinyi Fu, Chuntao Hong, Xin Yao

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

Protecting Split Learning by Potential Energy Loss.

Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Estimating Conditional Average Treatment Effects via Sufficient Representation Learning.

Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Clean-Image Backdoor Attacks.

Dazhong Rong, Guoyao Yu, Shuheng Shen, Xinyi Fu, Peng Qian, Jianhai Chen, Qinming He, Xing Fu, Weiqiang Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering.

Chunlei Xin, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun

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

SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions.

Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang

Proceedings of the Database Systems for Advanced Applications, 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, Weiqiang Wang, Xing Fu

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

Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning.

Chunlei Xin, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun

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

PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph.

Kun Wu, Xinyi Mou, Lanqing Xue, Zhenzhe Ying, Weiqiang Wang, Qi Zhang, Xuanjing Huang, Zhongyu Wei

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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

XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification.

Yanjiang Liu, Tianyun Zhong, Yaojie Lu, Hongyu Lin, Ben He, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun

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

Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations.

Lvxue Li, Jiaqi Chen, Xinyu Lu, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun

Proceedings of the Findings of the Association for Computational Linguistics, 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

SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention.

Xiaolong Xu, Lingjuan Lyu, Yihong Dong, Yicheng Lu, Weiqiang Wang, Hong Jin

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

Secure Collaborative Learning in Mining Pool via Robust and Efficient Verification.

Xiaoli Zhang, Zhicheng Xu, Hongbing Cheng, Tong Che, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Chunping Wang, Qi Li

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 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

eRiskCom: an e-commerce risky community detection platform.

Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng

VLDB J., 2022

DiffusionInst: Diffusion Model for Instance Segmentation.

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

CoRR, 2022

Differentially Private Learning with Per-Sample Adaptive Clipping.

Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu, 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

How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data.

Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun

Proceedings of the Tenth International Conference on Learning Representations, 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

2020

SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks.

Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Online Positive and Unlabeled Learning.

Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Coupled-View Deep Classifier Learning from Multiple Noisy Annotators.

Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2011

Exploiting hierarchical parallelisms for molecular dynamics simulation on multicore clusters.

Liu Peng, Manaschai Kunaseth, Hikmet Dursun, Ken-ichi Nomura, Weiqiang Wang, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta

J. Supercomput., 2011

2009

A Scalable Hierarchical Parallelization Framework for Molecular Dynamics Simulation on Multicore Clusters.

Liu Peng, Manaschai Kunaseth, Hikmet Dursun, Ken-ichi Nomura, Weiqiang Wang, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2009

In-Core Optimization of High-Order Stencil Computations.

Hikmet Dursun, Ken-ichi Nomura, Weiqiang Wang, Manaschai Kunaseth, Liu Peng, Richard Seymour, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2009

A metascalable computing framework for large spatiotemporal-scale atomistic simulations.

Ken-ichi Nomura, Richard Seymour, Weiqiang Wang, Hikmet Dursun, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta, Fuyuki Shimojo, Lin H. Yang

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

A Multilevel Parallelization Framework for High-Order Stencil Computations.

Hikmet Dursun, Ken-ichi Nomura, Liu Peng, Richard Seymour, Weiqiang Wang, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta

Proceedings of the Euro-Par 2009 Parallel Processing, 2009