Anda Cheng

According to our database, Anda Cheng authored at least 20 papers between 2019 and 2026.

Collaborative distances:

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

2026

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning.

Wei Huang, Anda Cheng, Yinggui Wang, Lei Wang, Tao Wei

Proc. VLDB Endow., January, 2026

GradPruner: Gradient-Guided Layer Pruning Enabling Efficient Fine-Tuning and Inference for LLMs.

Wei Huang, Anda Cheng, Yinggui Wang

CoRR, January, 2026

2025

The Shawshank Redemption of Embodied AI: Understanding and Benchmarking Indirect Environmental Jailbreaks.

Chunyang Li, Zifeng Kang, Junwei Zhang, Zhuo Ma, Anda Cheng, Xinghua Li, Jianfeng Ma

CoRR, November, 2025

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models.

Chunyang Li, Junwei Zhang, Anda Cheng, Zhuo Ma, Xinghua Li, Jianfeng Ma

CoRR, May, 2025

Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Models.

Yiran Xu, Nan Zhong, Guobiao Li, Anda Cheng, Yinggui Wang, Zhenxing Qian, Xinpeng Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment.

Wei Huang, Anda Cheng, Zhao Zhang, Yinggui Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning.

Wei Huang, Anda Cheng, Yinggui Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization.

Anda Cheng, Wei Huang, Yinggui Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Information Leakage from Embedding in Large Language Models.

Zhipeng Wan, Anda Cheng, Yinggui Wang, Lei Wang

CoRR, 2024

A Fast, Performant, Secure Distributed Training Framework For Large Language Model.

Wei Huang, Yinggui Wang, Anda Cheng, Aihui Zhou, Chaofan Yu, Lei Wang

CoRR, 2024

A Fast, Performant, Secure Distributed Training Framework For LLM.

Wei Huang, Yinggui Wang, Anda Cheng, Aihui Zhou, Chaofan Yu, Lei Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

HPN: Personalized Federated Hyperparameter Optimization.

Anda Cheng, Zhen Wang, Yaliang Li, Jian Cheng

CoRR, 2023

APGP: Accuracy-Preserving Generative Perturbation for Defending Against Model Cloning Attacks.

Anda Cheng, Jian Cheng

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient.

Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentially Private Federated Learning with Local Regularization and Sparsification.

Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy.

Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Unsupervised Network Quantization via Fixed-Point Factorization.

Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng

IEEE Trans. Neural Networks Learn. Syst., 2021

SpatialFlow: Bridging All Tasks for Panoptic Segmentation.

Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng

IEEE Trans. Circuits Syst. Video Technol., 2021

2020

Robust one-stage object detection with location-aware classifiers.

Qiang Chen, Peisong Wang, Anda Cheng, Wanguo Wang, Yifan Zhang, Jian Cheng

Pattern Recognit., 2020

2019

Location-aware Upsampling for Semantic Segmentation.

Xiangyu He, Zitao Mo, Qiang Chen, Anda Cheng, Peisong Wang, Jian Cheng

CoRR, 2019