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ORCIDWeiqiang Wang 0002
Person information
- affiliation: Ant Group, Hangzhou, China
- affiliation (PhD 2008): University of Southern California, Los Angeles, CA, USA
Other persons with the same name
- Weiqiang Wang — disambiguation page
- Weiqiang Wang 0001
![[0000-0001-5734-1226]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5734-1226")
— University of Chinese Academy of Sciences, School of Computer Science and Technology, Beijing, China (and 1 more)
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2020 – today
- 2025
[j4]Yuke Hu, Yang Wang, Jian Lou, Wei Liang, Ruofan Wu, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin:
Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense. IEEE Trans. Dependable Secur. Comput. 22(3): 2788-2805 (2025)- [j3]Su Yao, Mu Wang, Ju Ren, Tianyu Xia, Weiqiang Wang, Ke Xu, Mingwei Xu, Hongke Zhang:
Multi-Agent Reinforcement Learning for Task Offloading in Crowd-Edge Computing. IEEE Trans. Mob. Comput. 24(10): 9289-9302 (2025) - [c69]Yan Hong, Jianming Feng, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection. AAAI 2025: 3500-3508 - [c68]Yiran Qiao, Ningtao Wang, Yuncong Gao, Yang Yang, Xing Fu, Weiqiang Wang, Xiang Ao:
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment. AAAI 2025: 12470-12478 - [c67]Xu Liu, Yiqiang Lu, Jian Liu, Tianyi Zhang, Weiqiang Wang, Qian Liu, Shuai Li:
Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce. AAAI 2025: 28783-28791 - [c66]Chunlei Xin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Xuanang Chen, Xinyan Guan, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun:
Sparse Latents Steer Retrieval-Augmented Generation. ACL (1) 2025: 4547-4562 - [c65]Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Jingwen Leng, Minyi Guo, Zhouhan Lin:
Gumbel Reranking: Differentiable End-to-End Reranker Optimization. ACL (1) 2025: 7142-7161 - [c64]Chunlei Xin, Shuheng Zhou, Xuanang Chen, Yaojie Lu, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun:
Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering. COLING 2025: 1000-1012 - [c63]Mingming Zhang, Zhiqing Xiao, Guoshan Lu, Sai Wu, Weiqiang Wang, Xing Fu, Can Yi, Junbo Zhao:
AIGT: AI Generative Table Based on Prompt. COLING 2025: 9926-9938 - [c62]Xin-Wei Yao, Yu-Han Mil, Chuan He, Xinyi Fu, Weiqiang Wang, Qiang Li:
Dual-Interest Adaptive Network for Click-Through Rate Prediction. CSCWD 2025: 1664-1669 - [c61]Xin-Wei Yao, Yu-Hao Ma, Qi-Chao Lu, Xing Fu, Qiang Li, Weiqiang Wang, Kaigui Bian:
MicroTR: Transaction Reproduction Fault Diagnosis Framework for Microservice on Multi-Source Data. CSCWD 2025: 1676-1683 - [c60]Jinhong Wang, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Danny Chen, Jintai Chen, Jian Wu:
Scalable Autoregressive Monocular Depth Estimation. CVPR 2025: 6262-6272 - [c59]Weiwei Feng, Nanqing Xu, Tengfei Liu, Weiqiang Wang:
Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement. IJCAI 2025: 1008-1016 - [c58]Mingru Yang, Yanmei Gu, Qianhua He, Yanxiong Li, Peirong Zhang, Yongqiang Chen, Zhiming Wang, Huijia Zhu, Jian Liu, Weiqiang Wang:
Generalizable Audio Deepfake Detection via Hierarchical Structure Learning and Feature Whitening in Poincaré sphere. INTERSPEECH 2025 - [c57]Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xing Fu, Xinyi Fu, Chuntao Hong, Xinwei Yao:
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation. KDD (2) 2025: 872-883 - [c56]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:
Transferable and Forecastable User Targeting Foundation Model. WWW (Companion Volume) 2025: 181-190 - [c55]Zhiying Wu, Jiajing Wu, Hui Zhang, Zibin Zheng, Weiqiang Wang:
Hunting in the Dark Forest: A Pre-trained Model for On-chain Attack Transaction Detection in Web3. WWW 2025: 4519-4530 - [i78]Yanjiang Liu, Shuheng Zhou, Yaojie Lu, Huijia Zhu, Weiqiang Wang, Hongyu Lin, Ben He, Xianpei Han, Le Sun:
Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models. CoRR abs/2501.01830 (2025) - [i77]Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Jingwen Leng, Minyi Guo, Zhouhan Lin:
Gumbel Reranking: Differentiable End-to-End Reranker Optimization. CoRR abs/2502.11116 (2025) - [i76]Xiaofei Yin, Yijie Hong, Ya Guo, Yi Tu, Weiqiang Wang, Gongshen Liu, Huijia Zhu:
InsightVision: A Comprehensive, Multi-Level Chinese-based Benchmark for Evaluating Implicit Visual Semantics in Large Vision Language Models. CoRR abs/2502.15812 (2025) - [i75]Jinhong Wang, Shuo Tong, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Hongxia Xu, Danny Ziyi Chen, Jintai Chen, Jian Wu:
OrderChain: A General Prompting Paradigm to Improve Ordinal Understanding Ability of MLLM. CoRR abs/2504.04801 (2025) - [i74]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:
InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation. CoRR abs/2504.10905 (2025) - [i73]Yule Liu, Jingyi Zheng, Zhen Sun, Zifan Peng, Wenhan Dong, Zeyang Sha, Shiwen Cui, Weiqiang Wang, Xinlei He:
Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models. CoRR abs/2504.13626 (2025) - [i72]Yikun Ji, Yan Hong, Jiahui Zhan, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang:
Towards Explainable Fake Image Detection with Multi-Modal Large Language Models. CoRR abs/2504.14245 (2025) - [i71]Haozhen Yan, Yan Hong, Jiahui Zhan, Yikun Ji, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
COCO-Inpaint: A Benchmark for Image Inpainting Detection and Manipulation Localization. CoRR abs/2504.18361 (2025) - [i70]Yijie Hong, Xiaofei Yin, Xinzhong Wang, Yi Tu, Ya Guo, Sufeng Duan, Weiqiang Wang, Lingyong Fang, Depeng Wang, Huijia Zhu:
Keep the General, Inject the Specific: Structured Dialogue Fine-Tuning for Knowledge Injection without Catastrophic Forgetting. CoRR abs/2505.00029 (2025) - [i69]Haoxuan Sun, Yan Hong, Jiahui Zhan, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang:
Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks. CoRR abs/2505.03435 (2025) - [i68]Zeyang Sha, Shiwen Cui, Weiqiang Wang:
SEM: Reinforcement Learning for Search-Efficient Large Language Models. CoRR abs/2505.07903 (2025) - [i67]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:
Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning. CoRR abs/2505.13327 (2025) - [i66]Zhen Sun, Ziyi Zhang, Zeren Luo, Zeyang Sha, Tianshuo Cong, Zheng Li, Shiwen Cui, Weiqiang Wang, Jiaheng Wei, Xinlei He, Qi Li, Qian Wang:
FragFake: A Dataset for Fine-Grained Detection of Edited Images with Vision Language Models. CoRR abs/2505.15644 (2025) - [i65]Xianbing Sun, Yan Hong, Jiahui Zhan, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang:
DS-VTON: High-Quality Virtual Try-on via Disentangled Dual-Scale Generation. CoRR abs/2506.00908 (2025) - [i64]Yikun Ji, Hong Yan, Jun Lan, Huijia Zhu, Weiqiang Wang, Qi Fan, Liqing Zhang, Jianfu Zhang:
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs. CoRR abs/2506.07045 (2025) - [i63]Zeyang Sha, Hanling Tian, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weiqiang Wang:
Agent Safety Alignment via Reinforcement Learning. CoRR abs/2507.08270 (2025) - [i62]Wei Guan, Jun Lan, Jian Cao, Hao Tan, Huijia Zhu, Weiqiang Wang:
EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO. CoRR abs/2507.21619 (2025) - [i61]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:
Learning Unified User Quantized Tokenizers for User Representation. CoRR abs/2508.00956 (2025) - [i60]Mingru Yang, Yanmei Gu, Qianhua He, Yanxiong Li, Peirong Zhang, Yongqiang Chen, Zhiming Wang, Huijia Zhu, Jian Liu, Weiqiang Wang:
Generalizable Audio Deepfake Detection via Hierarchical Structure Learning and Feature Whitening in Poincaré sphere. CoRR abs/2508.01897 (2025) - [i59]Kejin Liu, Junhong Lian, Xiang Ao, Ningtao Wang, Xing Fu, Yu Cheng, Weiqiang Wang, Xinyu Liu:
Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback. CoRR abs/2508.07178 (2025) - [i58]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:
UI-Venus Technical Report: Building High-performance UI Agents with RFT. CoRR abs/2508.10833 (2025) - [i57]Hao Tan, Jun Lan, Zichang Tan, Ajian Liu, Chuanbiao Song, Senyuan Shi, Huijia Zhu, Weiqiang Wang, Jun Wan, Zhen Lei:
Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning. CoRR abs/2508.21048 (2025) - [i56]Chang Su, Dengliang Shi, Siyuan Huang, Jintao Du, Changhua Meng, Yu Cheng, Weiqiang Wang, Zhouhan Lin:
Training LLMs to be Better Text Embedders through Bidirectional Reconstruction. CoRR abs/2509.03020 (2025) - [i55]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:
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results. CoRR abs/2509.06413 (2025) - [i54]Haozhen Yan, Yan Hong, Suning Lang, Jiahui Zhan, Yikun Ji, Yujie Gao, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection. CoRR abs/2509.10250 (2025) - [i53]Weiye Xu, Zhang Jiang, Siqi Zheng, Xiyuxing Zhang, Yankai Zhao, Changhao Zhang, Jian Liu, Weiqiang Wang, Yuntao Wang:
AuthGlass: Enhancing Voice Authentication on Smart Glasses via Air-Bone Acoustic Features. CoRR abs/2509.20799 (2025) - [i52]Yikun Ji, Yan Hong, Bowen Deng, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang:
Zoom-In to Sort AI-Generated Images Out. CoRR abs/2510.04225 (2025) - [i51]Ziyi Gao, Yike Xu, Jiahao Yuan, Baokun Wang, Jinyong Wen, Xiaotong Lin, Yun Liu, Xing Fu, Yu Cheng, Yongchao Liu, Weiqiang Wang, Zhongle Xie:
Instruction-aware User Embedding via Synergistic Language and Representation Modeling. CoRR abs/2510.11016 (2025) - 2024
- [c54]Yanjiang Liu, Tianyun Zhong, Yaojie Lu, Hongyu Lin, Ben He, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun:
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification. ACL (Findings) 2024: 5659-5672 - [c53]Lvxue Li, Jiaqi Chen, Xinyu Lu, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun:
Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations. ACL (Findings) 2024: 7203-7215 - [c52]Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang:
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. CIKM 2024: 301-311 - [c51]Chunlei Xin, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun:
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning. LREC/COLING 2024: 2307-2317 - [c50]Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang:
Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training. LREC/COLING 2024: 5922-5929 - [c49]Kun Wu, Xinyi Mou, Lanqing Xue, Zhenzhe Ying, Weiqiang Wang, Qi Zhang, Xuanjing Huang, Zhongyu Wei:
PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph. LREC/COLING 2024: 12644-12656 - [c48]Xin-Wei Yao, Weiwei Xing, Chu-Feng Qi, Qiang Li, Weiqiang Wang, Xing Fu:
Simulated Annealing Deep Q-learning Incentive Mechanism for Mobile Crowd Sensing. CSCWD 2024: 661-668 - [c47]Chuanbiao Song, Yan Hong, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing. CVPR Workshops 2024: 980-985 - [c46]Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang:
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models. CVPR 2024: 26607-26616 - [c45]Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang:
SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. DASFAA (4) 2024: 89-104 - [c44]Yan Hong, Yuxuan Duan, Bo Zhang, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion. ECCV (44) 2024: 1-18 - [c43]Zhaohe Liao, Jiangtong Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Li Niu, Liqing Zhang:
COIN-Matting: Confounder Intervention for Image Matting. ECCV (19) 2024: 382-397 - [c42]Chunlei Xin, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun:
Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering. EMNLP (Findings) 2024: 1884-1896 - [c41]Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin:
Mirror-Consistency: Harnessing Inconsistency in Majority Voting. EMNLP (Findings) 2024: 2408-2420 - [c40]Dazhong Rong, Guoyao Yu, Shuheng Shen, Xinyi Fu, Peng Qian, Jianhai Chen, Qinming He, Xing Fu, Weiqiang Wang:
Clean-Image Backdoor Attacks. ICANN (10) 2024: 187-202 - [c39]Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin:
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning. IJCAI 2024: 4894-4901 - [c38]Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin:
Protecting Split Learning by Potential Energy Loss. IJCAI 2024: 5590-5598 - [c37]Ye Wang, Yunpeng Liu, Ningtao Wang, Peiyang Li, Jiahao Hu, Xing Fu, Weiqiang Wang, Kun Sun, Qi Li, Ke Xu:
Enhancing Fraud Transaction Detection via Unlabeled Suspicious Records. IWQoS 2024: 1-10 - [c36]Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen:
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. KDD 2024: 1968-1979 - [c35]Yuxuan Duan, Yan Hong, Bo Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang:
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning. NeurIPS 2024 - [c34]Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu:
Resource-Aware Federated Self-Supervised Learning with Global Class Representations. NeurIPS 2024 - [c33]Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, Weiqiang Wang:
On provable privacy vulnerabilities of graph representations. NeurIPS 2024 - [c32]Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang:
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. ECML/PKDD (10) 2024: 133-149 - [c31]Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng:
Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. SIGIR 2024: 1722-1732 - [i50]Ruofan Wu, Guanhua Fang, Qiying Pan, Mingyang Zhang, Tengfei Liu, Weiqiang Wang, Wenbiao Zhao:
On provable privacy vulnerabilities of graph representations. CoRR abs/2402.04033 (2024) - [i49]Zhuoer Xu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
TroubleLLM: Align to Red Team Expert. CoRR abs/2403.00829 (2024) - [i48]Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang:
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models. CoRR abs/2403.02781 (2024) - [i47]Dazhong Rong, Guoyao Yu, Shuheng Shen, Xinyi Fu, Peng Qian, Jianhai Chen, Qinming He, Xing Fu, Weiqiang Wang:
Clean-image Backdoor Attacks. CoRR abs/2403.15010 (2024) - [i46]Haoxing Chen, Yaohui Li, Zizheng Huang, Yan Hong, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang:
Conditional Prototype Rectification Prompt Learning. CoRR abs/2404.09872 (2024) - [i45]Chuanbiao Song, Yan Hong, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing. CoRR abs/2405.18853 (2024) - [i44]Haoxing Chen, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Yaohui Li, Jun Lan, Huijia Zhu, Jianfu Zhang, Weiqiang Wang, Huaxiong Li:
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark. CoRR abs/2405.19707 (2024) - [i43]Ke Wang, Tianyu Xia, Zhangxuan Gu, Yi Zhao, Shuheng Shen, Changhua Meng, Weiqiang Wang, Ke Xu:
E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion. CoRR abs/2406.14250 (2024) - [i42]Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen:
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. CoRR abs/2406.14288 (2024) - [i41]Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang:
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. CoRR abs/2407.18523 (2024) - [i40]Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin:
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning. CoRR abs/2408.17053 (2024) - [i39]Zizheng Huang, Haoxing Chen, Jiaqi Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Limin Wang:
Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training. CoRR abs/2408.17081 (2024) - [i38]Yin Jin, Ningtao Wang, Ruofan Wu, Pengfei Shi, Xing Fu, Weiqiang Wang:
Ultra-imbalanced classification guided by statistical information. CoRR abs/2409.04101 (2024) - [i37]Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin:
Mirror-Consistency: Harnessing Inconsistency in Majority Voting. CoRR abs/2410.10857 (2024) - [i36]Yuxuan Duan, Yan Hong, Bo Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang:
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning. CoRR abs/2411.04571 (2024) - [i35]Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang:
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. CoRR abs/2411.06878 (2024) - [i34]Jinhong Wang, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Danny Chen, Jintai Chen, Jian Wu:
Scalable Autoregressive Monocular Depth Estimation. CoRR abs/2411.11361 (2024) - [i33]Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xin Fu, Xinyi Fu, Chuntao Hong, Xin Yao:
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation. CoRR abs/2411.12179 (2024) - [i32]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:
Transferable and Forecastable User Targeting Foundation Model. CoRR abs/2412.12468 (2024) - [i31]Chenfan Qu, Jian Liu, Haoxing Chen, Baihan Yu, Jingjing Liu, Weiqiang Wang, Lianwen Jin:
Explainable Tampered Text Detection via Multimodal Large Models. CoRR abs/2412.14816 (2024) - [i30]Mingming Zhang, Zhiqing Xiao, Guoshan Lu, Sai Wu, Weiqiang Wang, Xing Fu, Can Yi, Junbo Zhao:
AIGT: AI Generative Table Based on Prompt. CoRR abs/2412.18111 (2024) - [i29]Yanshuo Wang, Xuesong Li, Jinguang Tong, Jie Hong, Jun Lan, Weiqiang Wang, Huijia Zhu, Haoxing Chen:
Maintain Plasticity in Long-timescale Continual Test-time Adaptation. CoRR abs/2412.20034 (2024) - 2023
- [c30]Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun:
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. AAAI 2023: 14153-14160 - [c29]Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang:
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer. CIKM 2023: 234-244 - [c28]Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang:
A Momentum Loss Reweighting Method for Improving Recall. CIKM 2023: 997-1003 - [c27]Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CIKM 2023: 1198-1207 - [c26]Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang:
Mobile User Interface Element Detection Via Adaptively Prompt Tuning. CVPR 2023: 11155-11164 - [c25]Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
Backpropagation Path Search On Adversarial Transferability. ICCV 2023: 4640-4650 - [c24]Xiaoli Zhang, Zhicheng Xu, Hongbing Cheng, Tong Che, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Chunping Wang, Qi Li:
Secure Collaborative Learning in Mining Pool via Robust and Efficient Verification. ICDCS 2023: 794-805 - [c23]Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang:
Self-supervision meets kernel graph neural models: From architecture to augmentations. ICDM (Workshops) 2023: 1076-1083 - [c22]Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. KDD 2023: 1268-1279 - [c21]Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li:
Hierarchical Dynamic Image Harmonization. ACM Multimedia 2023: 1422-1430 - [c20]Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng:
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. ACM Multimedia 2023: 1536-1545 - [c19]Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang:
DiffUTE: Universal Text Editing Diffusion Model. NeurIPS 2023 - [c18]Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang:
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. NeurIPS 2023 - [c17]Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang:
Multi-Aspect Heterogeneous Graph Augmentation. WWW 2023: 39-48 - [c16]Yunpeng Liu, Kexin Li, Zhuotao Liu, Bihan Wen, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Qi Li:
Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification. WWW 2023: 1980-1990 - [c15]Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin:
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. WWW 2023: 2306-2317 - [i28]Xiaolong Xu, Lingjuan Lyu, Yihong Dong, Yicheng Lu, Weiqiang Wang, Hong Jin:
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention. CoRR abs/2301.12885 (2023) - [i27]Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang:
GRANDE: a neural model over directed multigraphs with application to anti-money laundering. CoRR abs/2302.02101 (2023) - [i26]Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang:
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk. CoRR abs/2303.03933 (2023) - [i25]Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang:
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. CoRR abs/2303.10358 (2023) - [i24]Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin:
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. CoRR abs/2304.02932 (2023) - [i23]Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang:
Mobile User Interface Element Detection Via Adaptively Prompt Tuning. CoRR abs/2305.09699 (2023) - [i22]Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang:
DiffUTE: Universal Text Editing Diffusion Model. CoRR abs/2305.10825 (2023) - [i21]Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
Backpropagation Path Search On Adversarial Transferability. CoRR abs/2308.07625 (2023) - [i20]Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang:
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer. CoRR abs/2308.09724 (2023) - [i19]Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, Li Niu:
ControlCom: Controllable Image Composition using Diffusion Model. CoRR abs/2308.10040 (2023) - [i18]Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng:
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. CoRR abs/2308.11646 (2023) - [i17]Qiying Pan, Ruofan Wu, Tengfei Liu, Tianyi Zhang, Yifei Zhu, Weiqiang Wang:
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks. CoRR abs/2309.09517 (2023) - [i16]Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang:
Self-supervision meets kernel graph neural models: From architecture to augmentations. CoRR abs/2310.11281 (2023) - [i15]Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang:
Privacy-preserving design of graph neural networks with applications to vertical federated learning. CoRR abs/2310.20552 (2023) - [i14]Haoxing Chen, Yaohui Li, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang:
Boosting Audio-visual Zero-shot Learning with Large Language Models. CoRR abs/2311.12268 (2023) - [i13]Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng:
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR abs/2311.16605 (2023) - 2022
- [j2]Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng:
eRiskCom: an e-commerce risky community detection platform. VLDB J. 31(5): 1085-1101 (2022) - [c14]Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang:
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. CVPR 2022: 4573-4582 - [c13]Xiaolong Xu, Lingjuan Lyu, Hong Jin, Weiqiang Wang, Shuo Jia:
Heterogeneous Graph Node Classification With Multi-Hops Relation Features. ICASSP 2022: 5867-5871 - [c12]Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang:
GRANDE: a neural model over directed multigraphs with application to anti-money laundering. ICDM 2022: 558-567 - [c11]Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. ICLR 2022 - [c10]Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi:
Design Domain Specific Neural Network via Symbolic Testing. KDD 2022: 3219-3229 - [c9]Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang:
A2: Efficient Automated Attacker for Boosting Adversarial Training. NeurIPS 2022 - [i12]Zhenzhe Ying, Zhuoer Xu, Zhifeng Li, Weiqiang Wang, Changhua Meng:
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees. CoRR abs/2201.06239 (2022) - [i11]Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang:
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. CoRR abs/2203.06947 (2022) - [i10]Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CoRR abs/2204.09803 (2022) - [i9]Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. CoRR abs/2205.10053 (2022) - [i8]Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang:
A2: Efficient Automated Attacker for Boosting Adversarial Training. CoRR abs/2210.03543 (2022) - [i7]Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li:
Hierarchical Dynamic Image Harmonization. CoRR abs/2211.08639 (2022) - [i6]Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu, Weiqiang Wang:
Differentially Private Learning with Per-Sample Adaptive Clipping. CoRR abs/2212.00328 (2022) - [i5]Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang:
DiffusionInst: Diffusion Model for Instance Segmentation. CoRR abs/2212.02773 (2022) - 2021
- [c8]Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang:
Fine-Grained Element Identification in Complaint Text of Internet Fraud. CIKM 2021: 3268-3272 - [i4]Xiang Ni, Xiaolong Xu, Lingjuan Lyu, Changhua Meng, Weiqiang Wang:
A Vertical Federated Learning Framework for Graph Convolutional Network. CoRR abs/2106.11593 (2021) - [i3]Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi:
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing. CoRR abs/2107.01326 (2021) - [i2]Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang:
Fine-Grained Element Identification in Complaint Text of Internet Fraud. CoRR abs/2108.08676 (2021) - [i1]Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. CoRR abs/2109.01300 (2021) - 2020
- [c7]Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang:
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. AAAI 2020: 4667-4674 - [c6]Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang:
Online Positive and Unlabeled Learning. IJCAI 2020: 2248-2254 - [c5]Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu:
SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. KDD 2020: 1103-1113
2010 – 2019
- 2011
- [j1]Liu Peng, Manaschai Kunaseth, Hikmet Dursun, Ken-ichi Nomura, Weiqiang Wang, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta:
Exploiting hierarchical parallelisms for molecular dynamics simulation on multicore clusters. J. Supercomput. 57(1): 20-33 (2011)
2000 – 2009
- 2009
- [c4]Hikmet Dursun, Ken-ichi Nomura, Liu Peng, Richard Seymour, Weiqiang Wang, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta:
A Multilevel Parallelization Framework for High-Order Stencil Computations. Euro-Par 2009: 642-653 - [c3]Ken-ichi Nomura, Richard Seymour, Weiqiang Wang, Hikmet Dursun, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta, Fuyuki Shimojo, Lin H. Yang:
A metascalable computing framework for large spatiotemporal-scale atomistic simulations. IPDPS 2009: 1-10 - [c2]Liu Peng, Manaschai Kunaseth, Hikmet Dursun, Ken-ichi Nomura, Weiqiang Wang, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta:
A Scalable Hierarchical Parallelization Framework for Molecular Dynamics Simulation on Multicore Clusters. PDPTA 2009: 97-103 - [c1]Hikmet Dursun, Ken-ichi Nomura, Weiqiang Wang, Manaschai Kunaseth, Liu Peng, Richard Seymour, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta:
In-Core Optimization of High-Order Stencil Computations. PDPTA 2009: 533-538
Coauthor Index
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