Cheng-Long Wang

According to our database, Cheng-Long Wang authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness.

Cheng-Long Wang, Qi Li, Zihang Xiang, Yinzhi Cao, Di Wang

CoRR, June, 2025

2024

Communication Efficient and Provable Federated Unlearning.

Youming Tao, Cheng-Long Wang, Miao Pan, Dongxiao Yu, Xiuzhen Cheng, Di Wang

Proc. VLDB Endow., January, 2024

Data Lineage Inference: Uncovering Privacy Vulnerabilities of Dataset Pruning.

Qi Li, Cheng-Long Wang, Yinzhi Cao, Di Wang

CoRR, 2024

Editable Concept Bottleneck Models.

Lijie Hu, Chenyang Ren, Zhengyu Hu, Cheng-Long Wang, Di Wang

CoRR, 2024

Has Approximate Machine Unlearning been evaluated properly? From Auditing to Side Effects.

Cheng-Long Wang, Qi Li, Zihang Xiang, Di Wang

CoRR, 2024

How Does Selection Leak Privacy: Revisiting Private Selection and Improved Results for Hyper-parameter Tuning.

Zihang Xiang, Cheng-Long Wang, Di Wang

CoRR, 2024

MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning.

Shu Yang, Muhammad Asif Ali, Cheng-Long Wang, Lijie Hu, Di Wang

CoRR, 2024

2023

High Dimensional Statistical Estimation Under Uniformly Dithered One-Bit Quantization.

Junren Chen, Cheng-Long Wang, Michael K. P. Ng, Di Wang

IEEE Trans. Inf. Theory, August, 2023

Differentially Private Non-convex Learning for Multi-layer Neural Networks.

Hanpu Shen, Cheng-Long Wang, Zihang Xiang, Yiming Ying, Di Wang

CoRR, 2023

Inductive Graph Unlearning.

Cheng-Long Wang, Mengdi Huai, Di Wang

Proceedings of the 32nd USENIX Security Symposium, 2023

2022

High Dimensional Statistical Estimation under One-bit Quantization.

Junren Chen, Cheng-Long Wang, Michael K. Ng, Di Wang

CoRR, 2022

2020

Revisiting Fast Spectral Clustering with Anchor Graph.

Cheng-Long Wang, Feiping Nie, Rong Wang, Xuelong Li

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters.

Feiping Nie, Cheng-Long Wang, Xuelong Li

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019