K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters. - Feiping Nie 001; Cheng-Long Wang 003; Xuelong Li 001 (KDD, 2019)

Revisiting Fast Spectral Clustering with Anchor Graph. - Cheng-Long Wang 003; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (ICASSP, 2020)

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

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

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)

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

Editable Concept Bottleneck Models. - Lijie Hu; Chenyang Ren; Zhengyu Hu; Cheng-Long Wang 003; 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)

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)

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)