Weiqiang Wang

184 papers A* 43A 10B 3C 3Misc 3Journal 97Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive and Balanced Re-initialization for Long-timescale Continual Test-time Domain Adaptation.
CoRR
Yanshuo Wang, Jinguang Tong, Jun Lan, Weiqiang Wang, Huijia Zhu, Haoxing Chen, Xuesong Li, Jie Hong
2026 A* conf
Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning.
AAAI
Yuqin Dai, Shuo Yang, Guoqing Wang, Yong Deng, Zhanwei Zhang, Jun Yin, Pengyu Zeng, Zhenzhe Ying, Changhua Meng, Can Yi, Yuchen Zhou, Weiqiang Wang, Shuai Lu
2026 J jnl
Generalizable and Adaptive Continual Learning Framework for AI-Generated Image Detection.
IEEE Trans. Multim.
Hanyi Wang, Jun Lan, Yaoyu Kang, Huijia Zhu, Weiqiang Wang, Zhuosheng Zhang, Shilin Wang
2026 J jnl
Generalizable and Adaptive Continual Learning Framework for AI-generated Image Detection.
CoRR
Hanyi Wang, Jun Lan, Yaoyu Kang, Huijia Zhu, Weiqiang Wang, Zhuosheng Zhang, Shilin Wang
2026 J jnl
How Do Decoder-Only LLMs Perceive Users? Rethinking Attention Masking for User Representation Learning.
CoRR
Jiahao Yuan, Yike Xu, Jinyong Wen, Baokun Wang, Yang Chen, Xiaotong Lin, Wuliang Huang, Ziyi Gao, Xing Fu, Yu Cheng, Weiqiang Wang
2026 A* conf
KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling.
WWW
Mingming Zhang, Pengfei Shi, Junbo Zhao, Ningtao Wang, Feng Zhao, Guandong Sun, Yulin Kang, Xing Fu, Zhiqing Xiao, Weiqiang Wang, Ruizhe Gao
2026 J jnl
KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling.
CoRR
Mingming Zhang, Pengfei Shi, Zhiqing Xiao, Feng Zhao, Guandong Sun, Yulin Kang, Ruizhe Gao, Ningtao Wang, Xing Fu, Weiqiang Wang, Junbo Zhao
2026 J jnl
Query as Anchor: Scenario-Adaptive User Representation via Large Language Model.
CoRR
Jiahao Yuan, Yike Xu, Jinyong Wen, Baokun Wang, Ziyi Gao, Xiaotong Lin, Yun Liu, Xing Fu, Yu Cheng, Yongchao Liu, Weiqiang Wang, Zhongle Xie
2026 A* conf
TGweaver: Synthesizing Transaction Graphs for De-anonymization Analysis.
WWW
Fajie Wu, Jiajing Wu, Zhiying Wu, Jun Chen, Tao Wang, Longjian He, Bowen Song, Weiqiang Wang
2026 J jnl
Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats.
CoRR
Xinhao Deng, Yixiang Zhang, Jiaqing Wu, Jiaqi Bai, Sibo Yi, Zhuoheng Zou, Yue Xiao, Rennai Qiu, Jianan Ma, Jialuo Chen, Xiaohu Du, Xiaofang Yang, Shiwen Cui, Changhua Meng, Weiqiang Wang, Jiaxing Song, Ke Xu, Qi Li
2026 J jnl
UI-Venus-1.5 Technical Report.
CoRR
Venus Team, Changlong Gao, Zhangxuan Gu, Yulin Liu, Xinyu Qiu, Shuheng Shen, Yue Wen, Tianyu Xia, Zhenyu Xu, Zhengwen Zeng, Beitong Zhou, Xingran Zhou, Weizhi Chen, Sunhao Dai, Jingya Dou, Yichen Gong, Yuan Guo, Zhenlin Guo, Feng Li, Qian Li, Jinzhen Lin, Yuqi Zhou, Linchao Zhu, Liang Chen, Zhenyu Guo, Changhua Meng, Weiqiang Wang
2026 J jnl
VideoVeritas: AI-Generated Video Detection via Perception Pretext Reinforcement Learning.
CoRR
Hao Tan, Jun Lan, Senyuan Shi, Zichang Tan, Zijian Yu, Huijia Zhu, Weiqiang Wang, Jun Wan, Zhen Lei
2026 J jnl
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception.
CoRR
Lai Wei, Liangbo He, Jun Lan, Lingzhong Dong, Yutong Cai, Siyuan Li, Huijia Zhu, Weiqiang Wang, Linghe Kong, Yue Wang, Zhuosheng Zhang, Weiran Huang
2025 B conf
AIGT: AI Generative Table Based on Prompt.
COLING
Mingming Zhang, Zhiqing Xiao, Guoshan Lu, Sai Wu, Weiqiang Wang, Xing Fu, Can Yi, Junbo Zhao
2025 A* conf
Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce.
AAAI
Xu Liu, Yiqiang Lu, Jian Liu, Tianyi Zhang, Weiqiang Wang, Qian Liu, Shuai Li
2025 J jnl
Agent Safety Alignment via Reinforcement Learning.
CoRR
Zeyang Sha, Hanling Tian, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weiqiang Wang
2025 B conf
Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering.
COLING
Chunlei Xin, Shuheng Zhou, Xuanang Chen, Yaojie Lu, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun
2025 J jnl
AuthGlass: Enhancing Voice Authentication on Smart Glasses via Air-Bone Acoustic Features.
CoRR
Weiye Xu, Zhang Jiang, Siqi Zheng, Xiyuxing Zhang, Yankai Zhao, Changhao Zhang, Jian Liu, Weiqiang Wang, Yuntao Wang
2025 J jnl
Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models.
CoRR
Yanjiang Liu, Shuheng Zhou, Yaojie Lu, Huijia Zhu, Weiqiang Wang, Hongyu Lin, Ben He, Xianpei Han, Le Sun
2025 J jnl
Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning.
CoRR
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
2025 — conf
BiQAP: Neural Bi-level Optimization-based Framework for Solving Quadratic Assignment Problems.
KDD (2)
Liangliang Shi, Haoran Zhang, Shuheng Shen, Changhua Meng, Weiqiang Wang, Junchi Yan
2025 J jnl
COCO-Inpaint: A Benchmark for Image Inpainting Detection and Manipulation Localization.
CoRR
Haozhen Yan, Yan Hong, Jiahui Zhan, Yikun Ji, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang
2025 J jnl
Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning.
CoRR
Yuqin Dai, Shuo Yang, Guoqing Wang, Yong Deng, Zhanwei Zhang, Jun Yin, Pengyu Zeng, Zhenzhe Ying, Changhua Meng, Can Yi, Yuchen Zhou, Weiqiang Wang, Shuai Lu
2025 J jnl
Conditional Prototype Rectification Prompt Learning.
IEEE Trans. Circuits Syst. Video Technol.
Haoxing Chen, Yaohui Li, Zizheng Huang, Yan Hong, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang
2025 J jnl
DS-VTON: High-Quality Virtual Try-on via Disentangled Dual-Scale Generation.
CoRR
Xianbing Sun, Yan Hong, Jiahui Zhan, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang
2025 C conf
Dual-Interest Adaptive Network for Click-Through Rate Prediction.
CSCWD
Xin-Wei Yao, Yu-Han Mil, Chuan He, Xinyi Fu, Weiqiang Wang, Qiang Li
2025 J jnl
EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO.
CoRR
Wei Guan, Jun Lan, Jian Cao, Hao Tan, Huijia Zhu, Weiqiang Wang
2025 J jnl
FragFake: A Dataset for Fine-Grained Detection of Edited Images with Vision Language Models.
CoRR
Zhen Sun, Ziyi Zhang, Zeren Luo, Zeyang Sha, Tianshuo Cong, Zheng Li, Shiwen Cui, Weiqiang Wang, Jiaheng Wei, Xinlei He, Qi Li, Qian Wang
2025 J jnl
GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection.
CoRR
Haozhen Yan, Yan Hong, Suning Lang, Jiahui Zhan, Yikun Ji, Yujie Gao, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang
2025 — conf
GMamba: EEG Representation Learning from Spatiotemporal Perspectives via Graph Mamba.
ICONIP (3)
Weiwei Feng, Nanqing Xu, Kaiyuan Zheng, Changtao Miao, Tengfei Liu, Weiqiang Wang
2025 A conf
Generalizable Audio Deepfake Detection via Hierarchical Structure Learning and Feature Whitening in Poincaré sphere.
INTERSPEECH
Mingru Yang, Yanmei Gu, Qianhua He, Yanxiong Li, Peirong Zhang, Yongqiang Chen, Zhiming Wang, Huijia Zhu, Jian Liu, Weiqiang Wang
2025 J jnl
Generalizable Audio Deepfake Detection via Hierarchical Structure Learning and Feature Whitening in Poincaré sphere.
CoRR
Mingru Yang, Yanmei Gu, Qianhua He, Yanxiong Li, Peirong Zhang, Yongqiang Chen, Zhiming Wang, Huijia Zhu, Jian Liu, Weiqiang Wang
2025 A* conf
Generalizable Audio Deepfake Detection via Risk-Aware Style Alignment and Structural Empirical Risk Minimization.
ACM Multimedia
Mingru Yang, Yanmei Gu, Qianhua He, Peirong Zhang, Haolin He, Zhiming Wang, Huijia Zhu, Jian Liu, Weiqiang Wang
2025 J jnl
Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs.
CoRR
Yi Luo, Qiwen Wang, Junqi Yang, Luyao Tang, Zhenghao Lin, Zhenzhe Ying, Weiqiang Wang, Chen Lin
2025 — conf
Gumbel Reranking: Differentiable End-to-End Reranker Optimization.
ACL (1)
Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Jingwen Leng, Minyi Guo, Zhouhan Lin
2025 J jnl
Gumbel Reranking: Differentiable End-to-End Reranker Optimization.
CoRR
Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Jingwen Leng, Minyi Guo, Zhouhan Lin
2025 A* conf
Hunting in the Dark Forest: A Pre-trained Model for On-chain Attack Transaction Detection in Web3.
WWW
Zhiying Wu, Jiajing Wu, Hui Zhang, Zibin Zheng, Weiqiang Wang
2025 — conf
Hybrid Vision Transformer and Convolutional Neural Network for Super-Resolution Image Quality Assessment.
ICCVW
Xinyu Li, Chuanbiao Song, Chenqi Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Xiaoyan Sun
2025 A conf
Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback.
CIKM
Kejin Liu, Junhong Lian, Xiang Ao, Ningtao Wang, Xing Fu, Yu Cheng, Weiqiang Wang, Xinyu Liu
2025 J jnl
Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback.
CoRR
Kejin Liu, Junhong Lian, Xiang Ao, Ningtao Wang, Xing Fu, Yu Cheng, Weiqiang Wang, Xinyu Liu
2025 — conf
Innovative Image Fraud Detection with Cross-Sample Anomaly Analysis: The Power of LLMs.
ACL (1)
Qiwen Wang, Junqi Yang, Zhenghao Lin, Zhenzhe Ying, Weiqiang Wang, Chen Lin
2025 J jnl
InsightVision: A Comprehensive, Multi-Level Chinese-based Benchmark for Evaluating Implicit Visual Semantics in Large Vision Language Models.
CoRR
Xiaofei Yin, Yijie Hong, Ya Guo, Yi Tu, Weiqiang Wang, Gongshen Liu, Huijia Zhu
2025 J jnl
Instruction-aware User Embedding via Synergistic Language and Representation Modeling.
CoRR
Ziyi Gao, Yike Xu, Jiahao Yuan, Baokun Wang, Jinyong Wen, Xiaotong Lin, Yun Liu, Xing Fu, Yu Cheng, Yongchao Liu, Weiqiang Wang, Zhongle Xie
2025 A* conf
InterAnimate: Taming Region-Aware Diffusion Model for Realistic Human Interaction Animation.
ACM Multimedia
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
2025 J jnl
InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation.
CoRR
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
2025 J jnl
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs.
CoRR
Yikun Ji, Hong Yan, Jun Lan, Huijia Zhu, Weiqiang Wang, Qi Fan, Liqing Zhang, Jianfu Zhang
2025 J jnl
Keep the General, Inject the Specific: Structured Dialogue Fine-Tuning for Knowledge Injection without Catastrophic Forgetting.
CoRR
Yijie Hong, Xiaofei Yin, Xinzhong Wang, Yi Tu, Ya Guo, Sufeng Duan, Weiqiang Wang, Lingyong Fang, Depeng Wang, Huijia Zhu
2025 J jnl
Learning Unified User Quantized Tokenizers for User Representation.
CoRR
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
2025 C conf
MicroTR: Transaction Reproduction Fault Diagnosis Framework for Microservice on Multi-Source Data.
CSCWD
Xin-Wei Yao, Yu-Hao Ma, Qi-Chao Lu, Xing Fu, Qiang Li, Weiqiang Wang, Kaigui Bian
2025 A* conf
Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement.
IJCAI
Weiwei Feng, Nanqing Xu, Tengfei Liu, Weiqiang Wang
2025 J jnl
Multi-Agent Reinforcement Learning for Task Offloading in Crowd-Edge Computing.
IEEE Trans. Mob. Comput.
Su Yao, Mu Wang, Ju Ren, Tianyu Xia, Weiqiang Wang, Ke Xu, Mingwei Xu, Hongke Zhang
2025 — conf
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation.
KDD (2)
Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xing Fu, Xinyi Fu, Chuntao Hong, Xinwei Yao
2025 A* conf
OW-VAP: Visual Attribute Parsing for Open World Object Detection.
ICML
Xing Xi, Xing Fu, Weiqiang Wang, Ronghua Luo
2025 A* conf
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment.
AAAI
Yiran Qiao, Ningtao Wang, Yuncong Gao, Yang Yang, Xing Fu, Weiqiang Wang, Xiang Ao
2025 J jnl
OrderChain: A General Prompting Paradigm to Improve Ordinal Understanding Ability of MLLM.
CoRR
Jinhong Wang, Shuo Tong, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Hongxia Xu, Danny Ziyi Chen, Jintai Chen, Jian Wu
2025 J jnl
Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense.
IEEE Trans. Dependable Secur. Comput.
Yuke Hu, Yang Wang, Jian Lou, Wei Liang, Ruofan Wu, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin
2025 A* conf
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking.
ACM Multimedia
Shuo Yang, Yuqin Dai, Guoqing Wang, Xinran Zheng, Jinfeng Xu, Jinze Li, Zhenzhe Ying, Weiqiang Wang, Edith C. H. Ngai
2025 J jnl
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking.
CoRR
Shuo Yang, Yuqin Dai, Guoqing Wang, Xinran Zheng, Jinfeng Xu, Jinze Li, Zhenzhe Ying, Weiqiang Wang, Edith C. H. Ngai
2025 J jnl
Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks.
CoRR
Haoxuan Sun, Yan Hong, Jiahui Zhan, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang
2025 J jnl
SEM: Reinforcement Learning for Search-Efficient Large Language Models.
CoRR
Zeyang Sha, Shiwen Cui, Weiqiang Wang
2025 A* conf
Scalable Autoregressive Monocular Depth Estimation.
CVPR
Jinhong Wang, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Danny Chen, Jintai Chen, Jian Wu
2025 — conf
Sparse Latents Steer Retrieval-Augmented Generation.
ACL (1)
Chunlei Xin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Xuanang Chen, Xinyan Guan, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun
2025 A* conf
Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training.
ICML
Zizheng Huang, Haoxing Chen, Jiaqi Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Limin Wang
2025 J jnl
Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models.
CoRR
Yule Liu, Jingyi Zheng, Zhen Sun, Zifan Peng, Wenhan Dong, Zeyang Sha, Shiwen Cui, Weiqiang Wang, Xinlei He
2025 A* conf
Towards Explainable Fake Image Detection with Multi-Modal Large Language Models.
ACM Multimedia
Yikun Ji, Yan Hong, Jiahui Zhan, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang
2025 J jnl
Towards Explainable Fake Image Detection with Multi-Modal Large Language Models.
CoRR
Yikun Ji, Yan Hong, Jiahui Zhan, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang
2025 A conf
Towards Explainable Transaction Risk Analysis With Dual Graph Retrieval Augmented Generation.
CIKM
Liang Su, Mingyang Zhang, Kangxiang Jia, Tengfei Liu, Weiqiang Wang, Yun Xiong, Xixi Wu, Xinyu Gao, Yongrui Fu, Jiawei Zhang
2025 J jnl
TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning.
CoRR
Shenzhi Yang, Guangcheng Zhu, Xing Zheng, Yingfan Ma, Zhongqi Chen, Bowen Song, Weiqiang Wang, Junbo Zhao, Gang Chen, Haobo Wang
2025 A* conf
Training LLMs to be Better Text Embedders through Bidirectional Reconstruction.
EMNLP
Chang Su, Dengliang Shi, Siyuan Huang, Jintao Du, Changhua Meng, Yu Cheng, Weiqiang Wang, Zhouhan Lin
2025 J jnl
Training LLMs to be Better Text Embedders through Bidirectional Reconstruction.
CoRR
Chang Su, Dengliang Shi, Siyuan Huang, Jintao Du, Changhua Meng, Yu Cheng, Weiqiang Wang, Zhouhan Lin
2025 — conf
Transferable and Forecastable User Targeting Foundation Model.
WWW (Companion Volume)
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
2025 J jnl
UI-Venus Technical Report: Building High-performance UI Agents with RFT.
CoRR
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
2025 — conf
UniAttackData+: Unified Physical-Digital Attack Detection+ Challenge.
ICCVW
Hui Ma, Ajian Liu, Yongze Li, Chuanbiao Song, Xiao Guo, Changtao Miao, Wanyi Zhuang, Junze Zheng, Shunxin Chen, Yan Hong, Jiabao Guo, Jiankang Deng, Jun Lan, Weiqiang Wang, Tao Gong, Qi Chu, Sergio Escalera, Hugo Jair Escalante, Xiaoming Liu, Zhen Lei, Isabelle Guyon, Yanyan Liang, Jun Wan
2025 — conf
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results.
ICCVW
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
2025 J jnl
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results.
CoRR
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
2025 J jnl
Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning.
CoRR
Hao Tan, Jun Lan, Zichang Tan, Ajian Liu, Chuanbiao Song, Senyuan Shi, Huijia Zhu, Weiqiang Wang, Jun Wan, Zhen Lei
2025 A* conf
WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection.
AAAI
Yan Hong, Jianming Feng, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang
2025 J jnl
Zoom-In to Sort AI-Generated Images Out.
CoRR
Yikun Ji, Yan Hong, Bowen Deng, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang
2024 J jnl
AIGT: AI Generative Table Based on Prompt.
CoRR
Mingming Zhang, Zhiqing Xiao, Guoshan Lu, Sai Wu, Weiqiang Wang, Xing Fu, Can Yi, Junbo Zhao
2024 — conf
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning.
LREC/COLING
Chunlei Xin, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun
2024 — conf
COIN-Matting: Confounder Intervention for Image Matting.
ECCV (19)
Zhaohe Liao, Jiangtong Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Li Niu, Liqing Zhang
2024 — conf
Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering.
EMNLP (Findings)
Chunlei Xin, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun
2024 — conf
Clean-Image Backdoor Attacks.
ICANN (10)
Dazhong Rong, Guoyao Yu, Shuheng Shen, Xinyi Fu, Peng Qian, Jianhai Chen, Qinming He, Xing Fu, Weiqiang Wang
2024 J jnl
Clean-image Backdoor Attacks.
CoRR
Dazhong Rong, Guoyao Yu, Shuheng Shen, Xinyi Fu, Peng Qian, Jianhai Chen, Qinming He, Xing Fu, Weiqiang Wang
2024 — conf
ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion.
ECCV (44)
Yan Hong, Yuxuan Duan, Bo Zhang, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang
2024 J jnl
Conditional Prototype Rectification Prompt Learning.
CoRR
Haoxing Chen, Yaohui Li, Zizheng Huang, Yan Hong, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang
2024 A conf
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.
CIKM
Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang
2024 J jnl
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.
CoRR
Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang
2024 J jnl
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark.
CoRR
Haoxing Chen, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Yaohui Li, Jun Lan, Huijia Zhu, Jianfu Zhang, Weiqiang Wang, Huaxiong Li
2024 — conf
Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations.
ACL (Findings)
Lvxue Li, Jiaqi Chen, Xinyu Lu, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun
2024 A* conf
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning.
NeurIPS
Yuxuan Duan, Yan Hong, Bo Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang
2024 J jnl
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning.
CoRR
Yuxuan Duan, Yan Hong, Bo Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang
2024 J jnl
E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion.
CoRR
Ke Wang, Tianyu Xia, Zhangxuan Gu, Yi Zhao, Shuheng Shen, Changhua Meng, Weiqiang Wang, Ke Xu
2024 — conf
Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training.
LREC/COLING
Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang
2024 B conf
Enhancing Fraud Transaction Detection via Unlabeled Suspicious Records.
IWQoS
Ye Wang, Yunpeng Liu, Ningtao Wang, Peiyang Li, Jiahao Hu, Xing Fu, Weiqiang Wang, Kun Sun, Qi Li, Ke Xu
2024 A* conf
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning.
IJCAI
Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin
2024 J jnl
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning.
CoRR
Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin
2024 J jnl
Explainable Tampered Text Detection via Multimodal Large Models.
CoRR
Chenfan Qu, Jian Liu, Haoxing Chen, Baihan Yu, Jingjing Liu, Weiqiang Wang, Lianwen Jin
2024 — conf
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs.
ECML/PKDD (10)
Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang
2024 J jnl
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs.
CoRR
Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang
2024 J jnl
Maintain Plasticity in Long-timescale Continual Test-time Adaptation.
CoRR
Yanshuo Wang, Xuesong Li, Jinguang Tong, Jie Hong, Jun Lan, Weiqiang Wang, Huijia Zhu, Haoxing Chen
2024 — conf
Mirror-Consistency: Harnessing Inconsistency in Majority Voting.
EMNLP (Findings)
Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin
2024 J jnl
Mirror-Consistency: Harnessing Inconsistency in Majority Voting.
CoRR
Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin
2024 J jnl
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation.
CoRR
Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xin Fu, Xinyi Fu, Chuntao Hong, Xin Yao
2024 A* conf
On provable privacy vulnerabilities of graph representations.
NeurIPS
Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, Weiqiang Wang
2024 J jnl
On provable privacy vulnerabilities of graph representations.
CoRR
Ruofan Wu, Guanhua Fang, Qiying Pan, Mingyang Zhang, Tengfei Liu, Weiqiang Wang, Wenbiao Zhao
2024 — conf
PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph.
LREC/COLING
Kun Wu, Xinyi Mou, Lanqing Xue, Zhenzhe Ying, Weiqiang Wang, Qi Zhang, Xuanjing Huang, Zhongyu Wei
2024 A* conf
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models.
CVPR
Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang
2024 J jnl
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models.
CoRR
Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang
2024 A* conf
Protecting Split Learning by Potential Energy Loss.
IJCAI
Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin
2024 A* conf
Resource-Aware Federated Self-Supervised Learning with Global Class Representations.
NeurIPS
Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
2024 A* conf
Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport.
SIGIR
Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng
2024 A* conf
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective.
KDD
Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
2024 J jnl
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective.
CoRR
Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
2024 J jnl
Scalable Autoregressive Monocular Depth Estimation.
CoRR
Jinhong Wang, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Danny Chen, Jintai Chen, Jian Wu
2024 — conf
SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions.
DASFAA (4)
Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang
2024 C conf
Simulated Annealing Deep Q-learning Incentive Mechanism for Mobile Crowd Sensing.
CSCWD
Xin-Wei Yao, Weiwei Xing, Chu-Feng Qi, Qiang Li, Weiqiang Wang, Xing Fu
2024 J jnl
Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training.
CoRR
Zizheng Huang, Haoxing Chen, Jiaqi Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Limin Wang
2024 — conf
Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing.
CVPR Workshops
Chuanbiao Song, Yan Hong, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang
2024 J jnl
Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing.
CoRR
Chuanbiao Song, Yan Hong, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang
2024 J jnl
Transferable and Forecastable User Targeting Foundation Model.
CoRR
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
2024 J jnl
TroubleLLM: Align to Red Team Expert.
CoRR
Zhuoer Xu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang
2024 J jnl
Ultra-imbalanced classification guided by statistical information.
CoRR
Yin Jin, Ningtao Wang, Ruofan Wu, Pengfei Shi, Xing Fu, Weiqiang Wang
2024 — conf
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification.
ACL (Findings)
Yanjiang Liu, Tianyun Zhong, Yaojie Lu, Hongyu Lin, Ben He, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun
2023 A conf
A Momentum Loss Reweighting Method for Improving Recall.
CIKM
Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang
2023 A* conf
Backpropagation Path Search On Adversarial Transferability.
ICCV
Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang
2023 J jnl
Backpropagation Path Search On Adversarial Transferability.
CoRR
Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang
2023 J jnl
Boosting Audio-visual Zero-shot Learning with Large Language Models.
CoRR
Haoxing Chen, Yaohui Li, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang
2023 J jnl
ControlCom: Controllable Image Composition using Diffusion Model.
CoRR
Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, Li Niu
2023 J jnl
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk.
CoRR
Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang
2023 A* conf
DiffUTE: Universal Text Editing Diffusion Model.
NeurIPS
Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang
2023 J jnl
DiffUTE: Universal Text Editing Diffusion Model.
CoRR
Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang
2023 J jnl
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks.
CoRR
Qiying Pan, Ruofan Wu, Tengfei Liu, Tianyi Zhang, Yifei Zhu, Weiqiang Wang
2023 J jnl
GRANDE: a neural model over directed multigraphs with application to anti-money laundering.
CoRR
Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang
2023 A conf
GUARD: Graph Universal Adversarial Defense.
CIKM
Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang
2023 A* conf
Hierarchical Dynamic Image Harmonization.
ACM Multimedia
Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li
2023 A* conf
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.
ACM Multimedia
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
2023 J jnl
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.
CoRR
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
2023 A conf
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer.
CIKM
Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang
2023 J jnl
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer.
CoRR
Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang
2023 J jnl
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning.
CoRR
Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng
2023 A* conf
Mobile User Interface Element Detection Via Adaptively Prompt Tuning.
CVPR
Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang
2023 J jnl
Mobile User Interface Element Detection Via Adaptively Prompt Tuning.
CoRR
Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang
2023 A* conf
Multi-Aspect Heterogeneous Graph Augmentation.
WWW
Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang
2023 A* conf
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions.
NeurIPS
Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
2023 J jnl
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions.
CoRR
Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
2023 J jnl
Privacy-preserving design of graph neural networks with applications to vertical federated learning.
CoRR
Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
2023 A* conf
Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification.
WWW
Yunpeng Liu, Kexin Li, Zhuotao Liu, Bihan Wen, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Qi Li
2023 A* conf
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding.
WWW
Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin
2023 J jnl
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding.
CoRR
Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin
2023 A conf
Secure Collaborative Learning in Mining Pool via Robust and Efficient Verification.
ICDCS
Xiaoli Zhang, Zhicheng Xu, Hongbing Cheng, Tong Che, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Chunping Wang, Qi Li
2023 — conf
Self-supervision meets kernel graph neural models: From architecture to augmentations.
ICDM (Workshops)
Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
2023 J jnl
Self-supervision meets kernel graph neural models: From architecture to augmentations.
CoRR
Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
2023 J jnl
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention.
CoRR
Xiaolong Xu, Lingjuan Lyu, Yihong Dong, Yicheng Lu, Weiqiang Wang, Hong Jin
2023 A* conf
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network.
AAAI
Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun
2023 A* conf
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders.
KDD
Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
2022 A* conf
A2: Efficient Automated Attacker for Boosting Adversarial Training.
NeurIPS
Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang
2022 J jnl
A2: Efficient Automated Attacker for Boosting Adversarial Training.
CoRR
Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang
2022 A* conf
Design Domain Specific Neural Network via Symbolic Testing.
KDD
Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi
2022 J jnl
Differentially Private Learning with Per-Sample Adaptive Clipping.
CoRR
Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu, Weiqiang Wang
2022 J jnl
DiffusionInst: Diffusion Model for Instance Segmentation.
CoRR
Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang
2022 A* conf
GRANDE: a neural model over directed multigraphs with application to anti-money laundering.
ICDM
Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang
2022 J jnl
GUARD: Graph Universal Adversarial Defense.
CoRR
Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang
2022 Misc conf
Heterogeneous Graph Node Classification With Multi-Hops Relation Features.
ICASSP
Xiaolong Xu, Lingjuan Lyu, Hong Jin, Weiqiang Wang, Shuo Jia
2022 J jnl
Hierarchical Dynamic Image Harmonization.
CoRR
Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li
2022 A* conf
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data.
ICLR
Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun
2022 J jnl
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees.
CoRR
Zhenzhe Ying, Zhuoer Xu, Zhifeng Li, Weiqiang Wang, Changhua Meng
2022 J jnl
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders.
CoRR
Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
2022 A* conf
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding.
CVPR
Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang
2022 J jnl
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding.
CoRR
Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang
2022 J jnl
eRiskCom: an e-commerce risky community detection platform.
VLDB J.
Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng
2021 J jnl
A Vertical Federated Learning Framework for Graph Convolutional Network.
CoRR
Xiang Ni, Xiaolong Xu, Lingjuan Lyu, Changhua Meng, Weiqiang Wang
2021 A conf
Fine-Grained Element Identification in Complaint Text of Internet Fraud.
CIKM
Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang
2021 J jnl
Fine-Grained Element Identification in Complaint Text of Internet Fraud.
CoRR
Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang
2021 J jnl
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data.
CoRR
Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun
2021 J jnl
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing.
CoRR
Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi
2020 A* conf
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators.
AAAI
Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang
2020 A* conf
Online Positive and Unlabeled Learning.
IJCAI
Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang
2020 A* conf
SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks.
KDD
Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu
2011 J jnl
Exploiting hierarchical parallelisms for molecular dynamics simulation on multicore clusters.
J. Supercomput.
Liu Peng, Manaschai Kunaseth, Hikmet Dursun, Ken-ichi Nomura, Weiqiang Wang, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta
2009 — conf
A Multilevel Parallelization Framework for High-Order Stencil Computations.
Euro-Par
Hikmet Dursun, Ken-ichi Nomura, Liu Peng, Richard Seymour, Weiqiang Wang, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta
2009 Misc conf
A Scalable Hierarchical Parallelization Framework for Molecular Dynamics Simulation on Multicore Clusters.
PDPTA
Liu Peng, Manaschai Kunaseth, Hikmet Dursun, Ken-ichi Nomura, Weiqiang Wang, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta
2009 A conf
A metascalable computing framework for large spatiotemporal-scale atomistic simulations.
IPDPS
Ken-ichi Nomura, Richard Seymour, Weiqiang Wang, Hikmet Dursun, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta, Fuyuki Shimojo, Lin H. Yang
2009 Misc conf
In-Core Optimization of High-Order Stencil Computations.
PDPTA
Hikmet Dursun, Ken-ichi Nomura, Weiqiang Wang, Manaschai Kunaseth, Liu Peng, Richard Seymour, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta