Di Wang 0015 - researchr alias

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2025

EPM: Evolutionary Perception Method for Anomaly Detection in Noisy Dynamic GraphsHuan Wang 0005, Junyang Chen 0001, Yirui Wu, Victor C. M. Leung, Di Wang 0015. tkde, 37(7):4035-4048, July 2025. [doi]

Private least absolute deviations with heavy-tailed dataDi Wang 0015, Jinhui Xu 0001. TCS, 1030:115071, 2025. [doi]

Fair Text-to-Image Diffusion via Fair MappingJia Li 0053, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang 0015. AAAI 2025: 26256-26264 [doi]

MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic LanguageMuhammad Asif Ali, Nawal Daftardar, Mutayyaba Waheed, Jianbin Qin, Di Wang 0015. COLING 2025: 5629-5644 [doi]

Towards Stable and Explainable Attention MechanismsLijie Hu, Xinhai Wang, Yixin Liu 0002, Ninghao Liu, Mengdi Huai, Lichao Sun 0001, Di Wang 0015. tkde, 37(5):3047-3061, May 2025. [doi]

Faithful Interpretation for Graph Neural NetworksLijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang 0015. tmlr, 2025, 2025. [doi]

Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion ModelsZihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang 0015, Jingfeng Zhang. AAAI 2025: 5883-5891 [doi]

LUSTER: Link Prediction Utilizing Shared-Latent Space Representation in Multi-Layer NetworksRuohan Yang, Muhammad Asif Ali, Huan Wang, Junyang Chen 0001, Di Wang 0015. WWW 2025: 2476-2487 [doi]

Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax OptimizationRuijia Zhang, Mingxi Lei, Meng Ding, Zihang Xiang, Jinhui Xu 0001, Di Wang 0015. AAAI 2025: 22524-22532 [doi]

Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model ReasoningLin Zhang, Lijie Hu, Di Wang 0015. naacl 2025: 1387-1404 [doi]

2024

Communication Efficient and Provable Federated UnlearningYouming Tao 0001, Cheng-Long Wang, Miao Pan, Dongxiao Yu, Xiuzhen Cheng 0001, Di Wang 0015. pvldb, 17(5):1119-1131, January 2024. [doi]

Private Over-the-Air Federated Learning at Band-Limited EdgeYouming Tao 0001, Shuzhen Chen 0001, Congwei Zhang, Di Wang 0015, Dongxiao Yu, Xiuzhen Cheng 0001, Falko Dressler. tmc, 23(12):12444-12460, December 2024. [doi]

Gradient complexity and non-stationary views of differentially private empirical risk minimizationDi Wang 0015, Jinhui Xu 0001. TCS, 982:114259, January 2024. [doi]

Quantizing Heavy-Tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform RecoveryJunren Chen, Michael K. Ng 0001, Di Wang 0015. TIT, 70(3):2003-2038, 2024. [doi]

Revisiting Differentially Private ReLU RegressionMeng Ding, Mingxi Lei, Liyang Zhu, Shaowei Wang 0003, Di Wang 0015, Jinhui Xu 0001. nips 2024: [doi]

Understanding Forgetting in Continual Learning with Linear RegressionMeng Ding, Kaiyi Ji, Di Wang 0015, Jinhui Xu 0001. icml 2024: [doi]

Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK ApproachShaopeng Fu, Di Wang 0015. iclr 2024: [doi]

Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network ParametrizationMudit Gaur, Amrit S. Bedi, Di Wang 0015, Vaneet Aggarwal. icml 2024: [doi]

Dissecting Fine-Tuning Unlearning in Large Language ModelsYihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang 0015, Haiqin Yang. emnlp 2024: 3933-3941 [doi]

Differentially Private Natural Language Models: Recent Advances and Future DirectionsLijie Hu, Ivan Habernal, Lei Shen, Di Wang 0015. eacl 2024: 478-499 [doi]

Nearly Optimal Rates of Privacy-Preserving Sparse Generalized Eigenvalue ProblemLijie Hu, Zihang Xiang, Jiabin Liu, Di Wang 0015. tkde, 36(8):4101-4115, 2024. [doi]

Improving Interpretation Faithfulness for Vision TransformersLijie Hu, Yixin Liu 0002, Ninghao Liu, Mengdi Huai, Lichao Sun 0001, Di Wang 0015. icml 2024: [doi]

Towards Multi-dimensional Explanation Alignment for Medical ClassificationLijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, Di Wang 0015. nips 2024: [doi]

Perplexity-aware Correction for Robust Alignment with Noisy PreferencesKeyi Kong, Xilie Xu, Di Wang 0015, Jingfeng Zhang, Mohan S. Kankanhalli. nips 2024: [doi]

Faithful Vision-Language Interpretation via Concept Bottleneck ModelsSongning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Équille, Di Wang 0015. iclr 2024: [doi]

Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GANWashim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri, Goutam Das, Di Wang 0015, Mohamed-Slim Alouini, Vaneet Aggarwal. ieeenl, 6(2):97-100, June 2024. [doi]

PAC learning halfspaces in non-interactive local differential privacy model with public unlabeled dataJinyan Su, Jinhui Xu, Di Wang 0015. jcss, 141:103496, May 2024. [doi]

Faster Rates of Differentially Private Stochastic Convex OptimizationJinyan Su, Lijie Hu, Di Wang 0015. jmlr, 25, 2024. [doi]

Fair Single Index ModelYidong Wang, Meng Ding, Jinhui Xu 0001, Di Wang 0015. tkdd, 18(9), November 2024. [doi]

Persistent Local Homology in Graph LearningMinghua Wang, Yan Hu, Ziyun Huang, Di Wang 0015, Jinhui Xu 0001. tmlr, 2024, 2024. [doi]

Preserving Node-level Privacy in Graph Neural NetworksZihang Xiang, Tianhao Wang 0001, Di Wang 0015. sp 2024: 4714-4732 [doi]

An LLM can Fool Itself: A Prompt-Based Adversarial AttackXilie Xu, Keyi Kong, Ning Liu, LiZhen Cui, Di Wang 0015, Jingfeng Zhang, Mohan S. Kankanhalli. iclr 2024: [doi]

Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMIJuexiao Zhou, Longxi Zhou, Di Wang 0015, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao 0001. cbm, 169:107861, February 2024. [doi]

Truthful High Dimensional Sparse Linear RegressionLiyang Zhu, Amina Manseur, Meng Ding, Jinyan Liu, Jinhui Xu 0001, Di Wang 0015. nips 2024: [doi]

Improved Analysis of Sparse Linear Regression in Local Differential Privacy ModelLiyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu 0001, Di Wang 0015. iclr 2024: [doi]

2023

Finite Sample Guarantees of Differentially Private Expectation Maximization AlgorithmDi Wang 0015, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, Jinhui Xu 0001. ecai 2023: 2435-2442 [doi]

Generalized Linear Models in Non-interactive Local Differential Privacy with Public DataDi Wang 0015, Lijie Hu, Huanyu Zhang, Marco Gaboardi, Jinhui Xu 0001. jmlr, 24, 2023. [doi]

GRI: Graph-based Relative Isomorphism of Word Embedding SpacesMuhammad Asif Ali, Yan Hu, Jianbin Qin, Di Wang 0015. emnlp 2023: 11304-11313 [doi]

High Dimensional Statistical Estimation Under Uniformly Dithered One-Bit QuantizationJunren Chen, Cheng-Long Wang, Michael K. P. Ng 0001, Di Wang 0015. TIT, 69(8):5151-5187, August 2023. [doi]

Privacy-preserving Sparse Generalized Eigenvalue ProblemLijie Hu, Zihang Xiang, Jiabin Liu, Di Wang 0015. aistats 2023: 5052-5062 [doi]

SEAT: Stable and Explainable AttentionLijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun 0001, Di Wang 0015. AAAI 2023: 12907-12915 [doi]

DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated TextJinyan Su, Terry Yue Zhuo, Di Wang 0015, Preslav Nakov. emnlp 2023: 12395-12412 [doi]

Inductive Graph UnlearningCheng-Long Wang, Mengdi Huai, Di Wang 0015. uss 2023: 3205-3222 [doi]

On Private and Robust BanditsYulian Wu, Xingyu Zhou 0001, Youming Tao 0001, Di Wang 0015. nips 2023: [doi]

Differentially Private Episodic Reinforcement Learning with Heavy-tailed RewardsYulian Wu, Xingyu Zhou 0001, Sayak Ray Chowdhury, Di Wang 0015. icml 2023: 37880-37918 [doi]

Practical Differentially Private and Byzantine-resilient Federated LearningZihang Xiang, Tianhao Wang 0001, Wanyu Lin, Di Wang 0015. pacmmod, 1(2), 2023. [doi]

A Theory to Instruct Differentially-Private Learning via Clipping Bias ReductionHanshen Xiao, Zihang Xiang, Di Wang 0015, Srinivas Devadas. sp 2023: 2170-2189 [doi]

2022

2021

2020

2018

Empirical Risk Minimization in Non-interactive Local Differential Privacy RevisitedDi Wang 0015, Marco Gaboardi, Jinhui Xu 0001. nips 2018: 973-982 [doi]

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