Differentially Private Empirical Risk Minimization Revisited: Faster and More General. - Di Wang 015; Minwei Ye; Jinhui Xu 001 (NIPS, 2017)

Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning. - Di Wang 015; Jinhui Xu 001 (AAAI, 2018)

Differentially Private Sparse Inverse Covariance Estimation. - Di Wang 015; Mengdi Huai; Jinhui Xu 001 (GlobalSIP, 2018)

Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited. - Di Wang 015; Marco Gaboardi; Jinhui Xu 001 (NeurIPS, 2018)

Efficient Empirical Risk Minimization with Smooth Loss Functions in Non-interactive Local Differential Privacy. - Di Wang 015; Marco Gaboardi; Jinhui Xu 001 (CoRR, 2018)

Differentially Private Empirical Risk Minimization in Non-interactive Local Model via Polynomial of Inner Product Approximation. - Di Wang 015; Adam D. Smith 001; Jinhui Xu 001 (CoRR, 2018)

Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View. - Di Wang 015; Jinhui Xu 001 (AAAI, 2019)

Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations. - Di Wang 015; Adam D. Smith 001; Jinhui Xu 001 (ALT, 2019)

Estimating Sparse Covariance Matrix Under Differential Privacy via Thresholding. - Di Wang 015; Jinhui Xu 001; Yang He (CISS, 2019)

On Secure UAV Communication Systems with Randomly Located Eavesdroppers. - Hongjiang Lei; Di Wang 015; Ki-Hong Park; Imran Shafique Ansari; Gaofeng Pan; Mohamed-Slim Alouini (ICCC, 2019)

Differentially Private Empirical Risk Minimization with Non-convex Loss Functions. - Di Wang 015; Changyou Chen; Jinhui Xu 001 (ICML, 2019)

Privacy-aware Synthesizing for Crowdsourced Data. - Mengdi Huai; Di Wang 015; Chenglin Miao; Jinhui Xu 001; Aidong Zhang (IJCAI, 2019)

Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation. - Di Wang 015; Jinhui Xu 001 (IJCAI, 2019)

Facility Location Problem in Differential Privacy Model Revisited. - Yunus Esencayi; Marco Gaboardi; Shi Li 001; Di Wang 015 (NeurIPS, 2019)

Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data. - Di Wang 015; Huanyu Zhang; Marco Gaboardi; Jinhui Xu 001 (CoRR, 2019)

Faster constrained linear regression via two-step preconditioning. - Di Wang 015; Jinhui Xu 001 (Neurocomputing, 2019)

Pairwise Learning with Differential Privacy Guarantees. - Mengdi Huai; Di Wang 015; Chenglin Miao; Jinhui Xu 001; Aidong Zhang (AAAI, 2020)

Towards Interpretation of Pairwise Learning. - Mengdi Huai; Di Wang 015; Chenglin Miao; Aidong Zhang (AAAI, 2020)

Estimating Stochastic Linear Combination of Non-Linear Regressions. - Di Wang 015; Xiangyu Guo; Chaowen Guan; Shi Li 001; Jinhui Xu 001 (AAAI, 2020)

Global Interpretation for Patient Similarity Learning. - Mengdi Huai; Chenglin Miao; Jinduo Liu 001; Di Wang 015; Jingyuan Chou; Aidong Zhang (BIBM, 2020)

On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data. - Di Wang 015; Hanshen Xiao; Srinivas Devadas; Jinhui Xu 001 (ICML, 2020)

Escaping Saddle Points of Empirical Risk Privately and Scalably via DP-Trust Region Method. - Di Wang 015; Jinhui Xu 001 (ECML/PKDD (3), 2020)

Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness. - Tianhang Zheng; Di Wang 015; Baochun Li; Jinhui Xu 001 (CoRR, 2020)

Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees. - Di Wang 015; Jiahao Ding; Zejun Xie; Miao Pan; Jinhui Xu 001 (CoRR, 2020)

Estimating stochastic linear combination of non-linear regressions efficiently and scalably. - Di Wang 015; Xiangyu Guo; Chaowen Guan; Shi Li 001; Jinhui Xu 001 (Neurocomputing, 2020)

Safeguarding UAV IoT Communication Systems Against Randomly Located Eavesdroppers. - Hongjiang Lei; Di Wang 015; Ki-Hong Park; Imran Shafique Ansari; Jing Jiang 026; Gaofeng Pan; Mohamed-Slim Alouini (IEEE Internet Things J., 2020)

Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy. - Di Wang 015; Marco Gaboardi; Adam D. Smith 001; Jinhui Xu 001 (J. Mach. Learn. Res., 2020)

Robust high dimensional expectation maximization algorithm via trimmed hard thresholding. - Di Wang 015; Xiangyu Guo; Shi Li 001; Jinhui Xu 001 (Mach. Learn., 2020)

Principal Component Analysis in the local differential privacy model. - Di Wang 015; Jinhui Xu 001 (Theor. Comput. Sci., 2020)

Tight lower bound of sparse covariance matrix estimation in the local differential privacy model. - Di Wang 015; Jinhui Xu 001 (Theor. Comput. Sci., 2020)

Some Fundamental Machine Learning Problems in the Differential Privacy Model. - Di Wang 015 (2020)

Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data. - Di Wang 015; Huangyu Zhang; Marco Gaboardi; Jinhui Xu 001 (ALT, 2021)

Differentially Private Pairwise Learning Revisited. - Zhiyu Xue; Shaoyang Yang; Mengdi Huai; Di Wang 015 (IJCAI, 2021)

Faster Rates of Differentially Private Stochastic Convex Optimization. - Jinyan Su; Di Wang 015 (CoRR, 2021)

Inferring ground truth from crowdsourced data under local attribute differential privacy. - Di Wang 015; Jinhui Xu 001 (Theor. Comput. Sci., 2021)

Differentially private high dimensional sparse covariance matrix estimation. - Di Wang 015; Jinhui Xu 001 (Theor. Comput. Sci., 2021)

On Sparse Linear Regression in the Local Differential Privacy Model. - Di Wang 015; Jinhui Xu 001 (IEEE Trans. Inf. Theory, 2021)

On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data. - Jinyan Su; Jinhui Xu 001; Di Wang 015 (ACML, 2022)

On Facility Location Problem in the Local Differential Privacy Model. - Vincent Cohen-Addad; Yunus Esencayi; Chenglin Fan; Marco Gaboardi; Shi Li 001; Di Wang 015 (AISTATS, 2022)

Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits. - Youming Tao 001; Yulian Wu; Peng Zhao; Di Wang 015 (AISTATS, 2022)

Faster Rates of Private Stochastic Convex Optimization. - Jinyan Su; Lijie Hu; Di Wang 015 (ALT, 2022)

Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited. - Youming Tao 001; Yulian Wu; Xiuzhen Cheng 001; Di Wang 015 (IJCAI, 2022)

Differentially Private ℓ1-norm Linear Regression with Heavy-tailed Data. - Di Wang 015; Jinhui Xu 001 (ISIT, 2022)

High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data. - Lijie Hu; Shuo Ni; Hanshen Xiao; Di Wang 015 (PODS, 2022)

Truthful Generalized Linear Models. - Yuan Qiu 012; Jinyan Liu; Di Wang 015 (WINE, 2022)

Differentially Private 𝓁1-norm Linear Regression with Heavy-tailed Data. - Di Wang 015; Jinhui Xu 001 (CoRR, 2022)

High Dimensional Statistical Estimation under One-bit Quantization. - Junren Chen; Cheng-Long Wang 003; Michael K. Ng 001; Di Wang 015 (CoRR, 2022)

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). - Hao Wang 014; Wanyu Lin; Hao He 011; Di Wang 015; Chengzhi Mao; Muhan Zhang (CoRR, 2022)

SEAT: Stable and Explainable Attention. - Lijie Hu; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (AAAI, 2023)

Privacy-preserving Sparse Generalized Eigenvalue Problem. - Lijie Hu; Zihang Xiang; Jiabin Liu; Di Wang 015 (AISTATS, 2023)

Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm. - Di Wang 015; Jiahao Ding; Lijie Hu; Zejun Xie; Miao Pan; Jinhui Xu 001 (ECAI, 2023)

GRI: Graph-based Relative Isomorphism of Word Embedding Spaces. - Muhammad Asif Ali; Yan Hu; Jianbin Qin; Di Wang 015 (EMNLP (Findings), 2023)

DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text. - Jinyan Su; Terry Yue Zhuo; Di Wang 015; Preslav Nakov (EMNLP (Findings), 2023)

A Fundamental Model with Stable Interpretability for Traffic Forecasting. - Xiaochuan Gou; Lijie Hu; Di Wang 015; Xiangliang Zhang 001 (GeoPrivacy@SIGSPATIAL, 2023)

Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. - Yulian Wu; Xingyu Zhou 001; Sayak Ray Chowdhury; Di Wang 015 (ICML, 2023)

EEFL: High-Speed Wireless Communications Inspired Energy Efficient Federated Learning over Mobile Devices. - Rui Chen 026; Qiyu Wan; Xinyue Zhang 001; Xiaoqi Qin; Yanzhao Hou; Di Wang 015; Xin Fu; Miao Pan (MobiSys, 2023)

On Private and Robust Bandits. - Yulian Wu; Xingyu Zhou 001; Youming Tao 001; Di Wang 015 (NeurIPS, 2023)

A Theory to Instruct Differentially-Private Learning via Clipping Bias Reduction. - Hanshen Xiao; Zihang Xiang; Di Wang 015; Srinivas Devadas (SP, 2023)

Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited. - Jinyan Su; Changhong Zhao; Di Wang 015 (UAI, 2023)

Inductive Graph Unlearning. - Cheng-Long Wang 003; Mengdi Huai; Di Wang 015 (USENIX Security Symposium, 2023)

GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings. - Muhammad Asif Ali; Maha Alshmrani; Jianbin Qin; Yan Hu; Di Wang 015 (ArabicNLP, 2023)

Quantum Heavy-tailed Bandits. - Yulian Wu; Chaowen Guan; Vaneet Aggarwal; Di Wang 015 (CoRR, 2023)

Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning. - Bhargav Ganguly; Yulian Wu; Di Wang 015; Vaneet Aggarwal (CoRR, 2023)

Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks. - Puyu Wang; Yunwen Lei; Di Wang 015; Yiming Ying; Ding-Xuan Zhou (CoRR, 2023)

On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization. - Mudit Gaur; Amrit Singh Bedi; Di Wang 015; Vaneet Aggarwal (CoRR, 2023)

Fake News Detectors are Biased against Texts Generated by Large Language Models. - Jinyan Su; Terry Yue Zhuo; Jonibek Mansurov; Di Wang 015; Preslav Nakov (CoRR, 2023)

Differentially Private Non-convex Learning for Multi-layer Neural Networks. - Hanpu Shen; Cheng-Long Wang 003; Zihang Xiang; Yiming Ying; Di Wang 015 (CoRR, 2023)

Improving Faithfulness for Vision Transformers. - Lijie Hu; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (CoRR, 2023)

Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data. - Di Wang 015; Lijie Hu; Huanyu Zhang; Marco Gaboardi; Jinhui Xu 001 (J. Mach. Learn. Res., 2023)

Practical Differentially Private and Byzantine-resilient Federated Learning. - Zihang Xiang; Tianhao Wang 001; Wanyu Lin; Di Wang 015 (Proc. ACM Manag. Data, 2023)

High Dimensional Statistical Estimation Under Uniformly Dithered One-Bit Quantization. - Junren Chen; Cheng-Long Wang 003; Michael K. P. Ng 001; Di Wang 015 (IEEE Trans. Inf. Theory, 2023)

Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality. - Jiahuan Pei; Irene Viola 001; Haochen Huang; Junxiao Wang; Moonisa Ahsan; Fanghua Ye 001; Yiming Jiang 017; Yao Sai; Di Wang 015; Zhumin Chen; Pengjie Ren; Pablo César (ACL (Findings), 2024)

Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET). - Muhammad Ali; Yan Hu; Jianbin Qin; Di Wang 015 (EACL (Findings), 2024)

Differentially Private Natural Language Models: Recent Advances and Future Directions. - Lijie Hu; Ivan Habernal; Lei Shen; Di Wang 015 (EACL (Findings), 2024)

WiP: Towards Light Adaptation of Large Language Models For Personal Hardware. - Liangyu Wang; Junxiao Wang; Di Wang 015 (EdgeFM@MobiSys, 2024)

Dissecting Fine-Tuning Unlearning in Large Language Models. - Yihuai Hong; Yuelin Zou; Lijie Hu; Ziqian Zeng; Di Wang 015; Haiqin Yang (EMNLP, 2024)

Private Language Models via Truncated Laplacian Mechanism. - Tianhao Huang; Tao Yang; Ivan Habernal; Lijie Hu; Di Wang 015 (EMNLP, 2024)

Faithful Vision-Language Interpretation via Concept Bottleneck Models. - Songning Lai; Lijie Hu; Junxiao Wang; Laure Berti-Équille; Di Wang 015 (ICLR, 2024)

An LLM can Fool Itself: A Prompt-Based Adversarial Attack. - Xilie Xu; Keyi Kong; Ning Liu 014; Lizhen Cui; Di Wang 015; Jingfeng Zhang; Mohan S. Kankanhalli (ICLR, 2024)

Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model. - Liyang Zhu; Meng Ding; Vaneet Aggarwal; Jinhui Xu 001; Di Wang 015 (ICLR, 2024)

Understanding Forgetting in Continual Learning with Linear Regression. - Meng Ding; Kaiyi Ji; Di Wang 015; Jinhui Xu 001 (ICML, 2024)

Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization. - Mudit Gaur; Amrit S. Bedi; Di Wang 015; Vaneet Aggarwal (ICML, 2024)

Improving Interpretation Faithfulness for Vision Transformers. - Lijie Hu; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (ICML, 2024)

Revisiting Differentially Private ReLU Regression. - Meng Ding; Mingxi Lei; Liyang Zhu; Shaowei Wang 003; Di Wang 015; Jinhui Xu 001 (NeurIPS, 2024)

Towards Multi-dimensional Explanation Alignment for Medical Classification. - Lijie Hu; Songning Lai; Wenshuo Chen; Hongru Xiao; Hongbin Lin; Lu Yu; Jingfeng Zhang; Di Wang 015 (NeurIPS, 2024)

Perplexity-aware Correction for Robust Alignment with Noisy Preferences. - Keyi Kong; Xilie Xu; Di Wang 015; Jingfeng Zhang; Mohan S. Kankanhalli (NeurIPS, 2024)

Truthful High Dimensional Sparse Linear Regression. - Liyang Zhu; Amina Manseur; Meng Ding; Jinyan Liu; Jinhui Xu 001; Di Wang 015 (NeurIPS, 2024)

Preserving Node-level Privacy in Graph Neural Networks. - Zihang Xiang; Tianhao Wang 001; Di Wang 015 (SP, 2024)

Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET). - Muhammad Asif Ali; Yan Hu; Jianbin Qin; Di Wang 015 (CoRR, 2024)

MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning. - Shu Yang 010; Muhammad Asif Ali; Cheng-Long Wang 003; Lijie Hu; Di Wang 015 (CoRR, 2024)

Human-AI Interactions in the Communication Era: Autophagy Makes Large Models Achieving Local Optima. - Shu Yang 010; Lijie Hu; Lu Yu; Muhammad Asif Ali; Di Wang 015 (CoRR, 2024)

Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models. - Zihao Luo; Xilie Xu; Feng Liu; Yun Sing Koh; Di Wang 015; Jingfeng Zhang (CoRR, 2024)

How Does Selection Leak Privacy: Revisiting Private Selection and Improved Results for Hyper-parameter Tuning. - Zihang Xiang; Cheng-Long Wang 003; Di Wang 015 (CoRR, 2024)

Has Approximate Machine Unlearning been evaluated properly? From Auditing to Side Effects. - Cheng-Long Wang 003; Qi Li; Zihang Xiang; Di Wang 015 (CoRR, 2024)

Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs. - Shu Yang 010; Jiayuan Su; Han Jiang; Mengdi Li; Keyuan Cheng; Muhammad Asif Ali; Lijie Hu; Di Wang 015 (CoRR, 2024)

PROMPT-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression. - Muhammad Asif Ali; Zhengping Li; Shu Yang 010; Keyuan Cheng; Yang Cao; Tianhao Huang; Lijie Hu; Lu Yu; Di Wang 015 (CoRR, 2024)

Multi-hop Question Answering under Temporal Knowledge Editing. - Keyuan Cheng; Gang Lin; Haoyang Fei; Yuxuan Zhai; Lu Yu; Muhammad Asif Ali; Lijie Hu; Di Wang 015 (CoRR, 2024)

Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top. - Keyuan Cheng; Muhammad Asif Ali; Shu Yang 010; Gang Lin; Yuxuan Zhai; Haoyang Fei; Ke Xu; Lu Yu; Lijie Hu; Di Wang 015 (CoRR, 2024)

Editable Concept Bottleneck Models. - Lijie Hu; Chenyang Ren; Zhengyu Hu; Cheng-Long Wang 003; Di Wang 015 (CoRR, 2024)

Text Guided Image Editing with Automatic Concept Locating and Forgetting. - Jia Li 053; Lijie Hu; Zhixian He; Jingfeng Zhang; Tianhang Zheng; Di Wang 015 (CoRR, 2024)

A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning. - Lijie Hu; Liang Liu; Shu Yang 010; Xin Chen; Hongru Xiao; Mengdi Li; Pan Zhou 001; Muhammad Asif Ali; Di Wang 015 (CoRR, 2024)

Beyond Statistical Estimation: Differentially Private Individual Computation in the Shuffle Model. - Shaowei Wang 003; Changyu Dong; Di Wang 015; Xiangfu Song (CoRR, 2024)

Semi-supervised Concept Bottleneck Models. - Lijie Hu; Tianhao Huang; Huanyi Xie; Chenyang Ren; Zhengyu Hu; Lu Yu; Di Wang 015 (CoRR, 2024)

Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning. - Binhao Ma; Tianhang Zheng; Hongsheng Hu; Di Wang 015; Shuo Wang; Zhongjie Ba; Zhan Qin; Kui Ren 001 (CoRR, 2024)

XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and More. - Xiaochuan Gou; Ziyue Li 002; Tian Lan; Junpeng Lin; Zhishuai Li; Bingyu Zhao; Chen Zhang 007; Di Wang 015; Xiangliang Zhang 001 (CoRR, 2024)

Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services. - Shaopeng Fu; Xuexue Sun; Ke Qing; Tianhang Zheng; Di Wang 015 (CoRR, 2024)

Understanding Reasoning in Chain-of-Thought from the Hopfieldian View. - Lijie Hu; Liang Liu; Shu Yang 010; Xin Chen; Zhen Tan; Muhammad Asif Ali; Mengdi Li; Di Wang 015 (CoRR, 2024)

Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing. - Zhuoran Zhang 003; Yongxiang Li; Zijian Kan; Keyuan Cheng; Lijie Hu; Di Wang 015 (CoRR, 2024)

What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs. - Shu Yang 010; Shenzhe Zhu; Ruoxuan Bao; Liang Liu; Yu Cheng; Lijie Hu; Mengdi Li; Di Wang 015 (CoRR, 2024)

Dissecting Misalignment of Multimodal Large Language Models via Influence Function. - Lijie Hu; Chenyang Ren; Huanyi Xie; Khouloud Saadi; Shu Yang 010; Jingfeng Zhang; Di Wang 015 (CoRR, 2024)

Data Lineage Inference: Uncovering Privacy Vulnerabilities of Dataset Pruning. - Qi Li; Cheng-Long Wang 003; Yinzhi Cao; Di Wang 015 (CoRR, 2024)

Truthful and privacy-preserving generalized linear models. - Yuan Qiu 012; Jinyan Liu; Di Wang 015 (Inf. Comput., 2024)

Faster Rates of Differentially Private Stochastic Convex Optimization. - Jinyan Su; Lijie Hu; Di Wang 015 (J. Mach. Learn. Res., 2024)

Quantizing Heavy-Tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery. - Junren Chen; Michael K. Ng 001; Di Wang 015 (IEEE Trans. Inf. Theory, 2024)

Nearly Optimal Rates of Privacy-Preserving Sparse Generalized Eigenvalue Problem. - Lijie Hu; Zihang Xiang; Jiabin Liu; Di Wang 015 (IEEE Trans. Knowl. Data Eng., 2024)

Persistent Local Homology in Graph Learning. - Minghua Wang; Yan Hu; Ziyun Huang; Di Wang 015; Jinhui Xu 001 (Trans. Mach. Learn. Res., 2024)

Communication Efficient and Provable Federated Unlearning. - Youming Tao 001; Cheng-Long Wang 003; Miao Pan; Dongxiao Yu; Xiuzhen Cheng 001; Di Wang 015 (Proc. VLDB Endow., 2024)

Gradient complexity and non-stationary views of differentially private empirical risk minimization. - Di Wang 015; Jinhui Xu 001 (Theor. Comput. Sci., 2024)

Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI. - Juexiao Zhou; Longxi Zhou; Di Wang 015; Xiaopeng Xu; Haoyang Li; Yuetan Chu; Wenkai Han; Xin Gao 001 (Comput. Biol. Medicine, 2024)

Privacy Amplification via Shuffling: Unified, Simplified, and Tightened. - Shaowei Wang 003; Yun Peng 002; Jin Li 002; Zikai Wen; Zhipeng Li; Shiyu Yu; Di Wang 015; Wei Yang 011 (Proc. VLDB Endow., 2024)

PAC learning halfspaces in non-interactive local differential privacy model with public unlabeled data. - Jinyan Su; Jinhui Xu 001; Di Wang 015 (J. Comput. Syst. Sci., 2024)

Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN. - Washim Uddin Mondal; Veni Goyal; Satish V. Ukkusuri; Goutam Das 001; Di Wang 015; Mohamed-Slim Alouini; Vaneet Aggarwal (IEEE Netw. Lett., 2024)

Fair Single Index Model. - Yidong Wang; Meng Ding; Jinhui Xu 001; Di Wang 015 (ACM Trans. Knowl. Discov. Data, 2024)

Private Over-the-Air Federated Learning at Band-Limited Edge. - Youming Tao 001; Shuzhen Chen 001; Congwei Zhang; Di Wang 015; Dongxiao Yu; Xiuzhen Cheng 001; Falko Dressler (IEEE Trans. Mob. Comput., 2024)

Fair Text-to-Image Diffusion via Fair Mapping. - Jia Li 053; Lijie Hu; Jingfeng Zhang; Tianhang Zheng; Hua Zhang; Di Wang 015 (AAAI, 2025)

Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models. - Zihao Luo; Xilie Xu; Feng Liu; Yun Sing Koh; Di Wang 015; Jingfeng Zhang (AAAI, 2025)

Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization. - Ruijia Zhang; Mingxi Lei; Meng Ding; Zihang Xiang; Jinhui Xu 001; Di Wang 015 (AAAI, 2025)

COMPKE: Complex Question Answering under Knowledge Editing. - Keyuan Cheng; Zijian Kan; Zhuoran Zhang 003; Muhammad Asif Ali; Lijie Hu; Di Wang 015 (ACL (Findings), 2025)

Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements. - Shu Yang 010; Shenzhe Zhu; Zeyu Wu; Keyu Wang 001; Junchi Yao; Junchao Wu; Lijie Hu; Mengdi Li; Derek F. Wong; Di Wang 015 (ACL (Findings), 2025)

Understanding the Repeat Curse in Large Language Models from a Feature Perspective. - Junchi Yao; Shu Yang 010; Jianhua Xu; Lijie Hu; Mengdi Li; Di Wang 015 (ACL (Findings), 2025)

MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language. - Muhammad Asif Ali; Nawal Daftardar; Mutayyaba Waheed; Jianbin Qin; Di Wang 015 (COLING, 2025)

Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning. - Lin Zhang; Lijie Hu; Di Wang 015 (NAACL (Findings), 2025)

Nearly Optimal Differentially Private ReLU Regression. - Meng Ding; Mingxi Lei; Shaowei Wang 003; Tianhang Zheng; Di Wang 015; Jinhui Xu 001 (UAI, 2025)

LUSTER: Link Prediction Utilizing Shared-Latent Space Representation in Multi-Layer Networks. - Ruohan Yang; Muhammad Asif Ali; Huan Wang 005; Junyang Chen 001; Di Wang 015 (WWW, 2025)

TAAD: Time-varying adversarial anomaly detection in dynamic graphs. - Guanghua Liu; Jia Zhang; Peng Lv; Chenlong Wang; Huan Wang 005; Di Wang 015 (Inf. Process. Manag., 2025)

Generalization Guarantees of Gradient Descent for Shallow Neural Networks. - Puyu Wang; Yunwen Lei; Di Wang 015; Yiming Ying; Ding-Xuan Zhou (Neural Comput., 2025)

Private least absolute deviations with heavy-tailed data. - Di Wang 015; Jinhui Xu 001 (Theor. Comput. Sci., 2025)

Side-Channel Attacks and New Principles in the Shuffle Model of Differential Privacy. - Shaowei Wang 003; Jin Li 002; Changyu Dong; Jin Li 002; Zhili Zhou 001; Di Wang 015; Zikai Wen (IEEE Trans. Inf. Forensics Secur., 2025)

Faithful Interpretation for Graph Neural Networks. - Lijie Hu; Tianhao Huang; Lu Yu; Wanyu Lin; Tianhang Zheng; Di Wang 015 (Trans. Mach. Learn. Res., 2025)

Evaluating Data Influence in Meta Learning. - Chenyang Ren; Huanyi Xie; Shu Yang 010; Meng Ding; Lijie Hu; Di Wang 015 (CoRR, 2025)

Privacy Audit as Bits Transmission: (Im)possibilities for Audit by One Run. - Zihang Xiang; Tianhao Wang 001; Di Wang 015 (CoRR, 2025)

EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification. - Lin Zhang; Wenshuo Dong; Zhuoran Zhang 003; Shu Yang 010; Lijie Hu; Ninghao Liu; Pan Zhou 001; Di Wang 015 (CoRR, 2025)

Towards User-level Private Reinforcement Learning with Human Feedback. - Jiaming Zhang; Mingxi Lei; Meng Ding; Mengdi Li; Zihang Xiang; Difei Xu; Jinhui Xu 001; Di Wang 015 (CoRR, 2025)

Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation. - Tong Li; Shu Yang 010; Junchao Wu; Jiyao Wei; Lijie Hu; Mengdi Li; Derek F. Wong; Joshua R. Oltmanns; Di Wang 015 (CoRR, 2025)

3A Multi-Classification Division-Aggregation Framework for Fake News Detection. - Wen Zhang 008; Haitao Fu; Huan Wang 005; Zhiguo Gong; Pan Zhou 001; Di Wang 015 (IEEE Trans. Big Data, 2025)

C2 ATTACK: Towards Representation Backdoor on CLIP via Concept Confusion. - Lijie Hu; Junchi Liao; Weimin Lyu; Shaopeng Fu; Tianhao Huang; Shu Yang 010; Guimin Hu; Di Wang 015 (CoRR, 2025)

Understanding Aha Moments: from External Observations to Internal Mechanisms. - Shu Yang 010; Junchao Wu; Xin Chen; Yunze Xiao; Xinyi Yang 008; Derek F. Wong; Di Wang 015 (CoRR, 2025)

Second-Order Convergence in Private Stochastic Non-Convex Optimization. - Youming Tao 001; Zuyuan Zhang; Dongxiao Yu; Xiuzhen Cheng 001; Falko Dressler; Di Wang 015 (CoRR, 2025)

Is Your LLM-Based Multi-Agent a Reliable Real-World Planner? Exploring Fraud Detection in Travel Planning. - Junchi Yao; Jianhua Xu; Tianyu Xin; Ziyi Wang; Shenzhe Zhu; Shu Yang 010; Di Wang 015 (CoRR, 2025)

Understanding How Value Neurons Shape the Generation of Specified Values in LLMs. - Yi Su; Jiayi Zhang; Shu Yang 010; Xinhai Wang; Lijie Hu; Di Wang 015 (CoRR, 2025)

Towards Stable and Explainable Attention Mechanisms. - Lijie Hu; Xinhai Wang; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (IEEE Trans. Knowl. Data Eng., 2025)

Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons. - Wenshuo Dong; Qingsong Yang; Shu Yang 010; Lijie Hu; Meng Ding; Wanyu Lin; Tianhang Zheng; Di Wang 015 (CoRR, 2025)

COMPKE: Complex Question Answering under Knowledge Editing. - Keyuan Cheng; Zijian Kan; Zhixian He; Zhuoran Zhang 003; Muhammad Asif Ali; Ke Xu; Lijie Hu; Di Wang 015 (CoRR, 2025)

CODEMENV: Benchmarking Large Language Models on Code Migration. - Keyuan Cheng; Xudong Shen; Yihao Yang; Tengyue Wang; Yang Cao; Muhammad Asif Ali; Hanbin Wang; Lijie Hu; Di Wang 015 (CoRR, 2025)

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness. - Cheng-Long Wang 003; Qi Li; Zihang Xiang; Yinzhi Cao; Di Wang 015 (CoRR, 2025)

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment. - Huanyi Xie; Lijie Hu; Lu Yu; Tianhao Huang; Longfei Li; Meng Li; Jun Zhou; Huan Wang 005; Di Wang 015 (CoRR, 2025)

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs. - Wenrui Zhou; Shu Yang 010; Qingsong Yang; Zikun Guo; Lijie Hu; Di Wang 015 (CoRR, 2025)

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images. - Liangliang You; Junchi Yao; Shu Yang 010; Guimin Hu; Lijie Hu; Di Wang 015 (CoRR, 2025)

The Compositional Architecture of Regret in Large Language Models. - Xiangxiang Cui; Shu Yang 010; Tianjin Huang; Wanyu Lin; Lijie Hu; Di Wang 015 (CoRR, 2025)

Is Long-to-Short a Free Lunch? Investigating Inconsistency and Reasoning Efficiency in LRMs. - Shu Yang 010; Junchao Wu; Xuansheng Wu; Derek Wong; Ninhao Liu; Di Wang 015 (CoRR, 2025)

Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models. - Liangyu Wang; Huanyi Xie; Xinhai Wang; Tianjin Huang; Mengdi Li; Di Wang 015 (CoRR, 2025)

Task-Based Flexible Feature Distillation for LLMs. - Khouloud Saadi; Di Wang 015 (CoRR, 2025)

EPM: Evolutionary Perception Method for Anomaly Detection in Noisy Dynamic Graphs. - Huan Wang 005; Junyang Chen 001; Yirui Wu; Victor C. M. Leung; Di Wang 015 (IEEE Trans. Knowl. Data Eng., 2025)

When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models. - Keyu Wang 001; Jin Li 002; Shu Yang 010; Zhuoran Zhang 003; Di Wang 015 (CoRR, 2025)

Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models. - Jiayi Zhang; Shu Yang 010; Junchao Wu; Derek F. Wong; Di Wang 015 (CoRR, 2025)

MSRS: Adaptive Multi-Subspace Representation Steering for Attribute Alignment in Large Language Models. - Xinyan Jiang; Lin Zhang; Jiayi Zhang; Qingsong Yang; Guimin Hu; Di Wang 015; Lijie Hu (CoRR, 2025)

RepreGuard: Detecting LLM-Generated Text by Revealing Hidden Representation Patterns. - Xin Chen; Junchao Wu; Shu Yang 010; Runzhe Zhan; Zeyu Wu; Ziyang Luo; Di Wang 015; Min Yang 007; Lidia S. Chao; Derek F. Wong (CoRR, 2025)

Multitask Asynchronous Metalearning for Few-Shot Anomalous Node Detection in Dynamic Networks. - Yifan Hong 001; Chuanqi Shi; Junyang Chen 001; Huan Wang 005; Di Wang 015 (IEEE Trans. Comput. Soc. Syst., 2025)

Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach. - Shaopeng Fu; Di Wang 015 (IEEE Trans. Inf. Theory, 2025)