Wang, Weiping

40 publications

ICCV 2025 AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts Yufan Liu, Wanqian Zhang, Huashan Chen, Lin Wang, Xiaojun Jia, Zheng Lin, Weiping Wang

ICCV 2025 Diversity-Enhanced Distribution Alignment for Dataset Distillation Hongcheng Li, Yucan Zhou, Xiaoyan Gu, Bo Li, Weiping Wang

ICCV 2025 Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching Zhankai Li, Weiping Wang, Jie Li, Shigeng Zhang, Yunan Hu, Song Guo

NeurIPS 2025 NeedleInATable: Exploring Long-Context Capability of Large Language Models Towards Long-Structured Tables Lanrui Wang, Mingyu Zheng, Hongyin Tang, Zheng Lin, Yanan Cao, Jingang Wang, Xunliang Cai, Weiping Wang

AAAI 2025 Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models Xiyu Liu, Zhengxiao Liu, Naibin Gu, Zheng Lin, Wanli Ma, Ji Xiang, Weiping Wang

NeurIPS 2025 SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs LiuRuyue, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Yong Liu, Jinwen Zhong, Can Ma, Weiping Wang

IJCAI 2025 The Role of Video Generation in Enhancing Data-Limited Action Understanding Wei Li, Dezhao Luo, Dongbao Yang, Zhenhang Li, Weiping Wang, Yu Zhou

CVPR 2024 A Pedestrian Is Worth One Prompt: Towards Language Guidance Person Re-Identification Zexian Yang, Dayan Wu, Chenming Wu, Zheng Lin, Jingzi Gu, Weiping Wang

AAAI 2024 ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang

AAAI 2024 Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) Jian Li, Yong Liu, Weiping Wang

IJCAI 2024 DANCE: Dual-View Distribution Alignment for Dataset Condensation Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian, Shiming Ge

AAAI 2024 FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning Jian Li, Yong Liu, Weiping Wang

AAAI 2024 High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm Jian Li, Yong Liu, Weiping Wang

AAAI 2024 Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion Dayan Wu, Qinghang Su, Bo Li, Weiping Wang

ECCV 2024 Prediction Exposes Your Face: Black-Box Model Inversion via Prediction Alignment Yufan Liu, Wanqian Zhang, Dayan Wu, Zheng Lin, Jingzi Gu, Weiping Wang

ICCV 2023 AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification Xiaohua Chen, Yucan Zhou, Dayan Wu, Chule Yang, Bo Li, Qinghua Hu, Weiping Wang

AAAI 2023 One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object Dongbao Yang, Yu Zhou, Xiaopeng Hong, Aoting Zhang, Weiping Wang

ICML 2023 Optimal Convergence Rates for Agnostic Nyström Kernel Learning Jian Li, Yong Liu, Weiping Wang

JMLR 2023 Optimal Convergence Rates for Distributed Nystroem Approximation Jian Li, Yong Liu, Weiping Wang

ICCV 2023 UATVR: Uncertainty-Adaptive Text-Video Retrieval Bo Fang, Wenhao Wu, Chang Liu, Yu Zhou, Yuxin Song, Weiping Wang, Xiangbo Shu, Xiangyang Ji, Jingdong Wang

NeurIPS 2022 A Win-Win Deal: Towards Sparse and Robust Pre-Trained Language Models Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou

AAAI 2022 Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification Xiaohua Chen, Yucan Zhou, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang

IJCAI 2022 Neutral Utterances Are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou

ECML-PKDD 2022 Non-IID Distributed Learning with Optimal Mixture Weights Jian Li, Bojian Wei, Yong Liu, Weiping Wang

NeurIPS 2022 Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means Rong Yin, Yong Liu, Weiping Wang, Dan Meng

ICML 2021 Distributed Nyström Kernel Learning with Communications Rong Yin, Weiping Wang, Dan Meng

IJCAI 2021 Learning Class-Transductive Intent Representations for Zero-Shot Intent Detection Qingyi Si, Yuanxin Liu, Peng Fu, Zheng Lin, Jiangnan Li, Weiping Wang

IJCAI 2021 Rescuing Deep Hashing from Dead Bits Problem Shu Zhao, Dayan Wu, Yucan Zhou, Bo Li, Weiping Wang

AAAI 2020 Automated Spectral Kernel Learning Jian Li, Yong Liu, Weiping Wang

AAAI 2020 Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng

AAAI 2020 Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang

IJCAI 2019 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis Jian Li, Yong Liu, Rong Yin, Weiping Wang

AAAI 2019 Community Focusing: Yet Another Query-Dependent Community Detection Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng

IJCAI 2019 Multi-Class Learning Using Unlabeled Samples: Theory and Algorithm Jian Li, Yong Liu, Rong Yin, Weiping Wang

IJCAI 2018 Fast Cross-Validation Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao

AAAI 2018 Learning Sentiment-Specific Word Embedding via Global Sentiment Representation Peng Fu, Zheng Lin, Fengcheng Yuan, Weiping Wang, Dan Meng

NeurIPS 2018 Multi-Class Learning: From Theory to Algorithm Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang

IJCAI 2017 Efficient Kernel Selection via Spectral Analysis Jian Li, Yong Liu, Hailun Lin, Yinliang Yue, Weiping Wang

AAAI 2017 Generalization Analysis for Ranking Using Integral Operator Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang

AAAI 2017 Infinite Kernel Learning: Generalization Bounds and Algorithms Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang