A Fast, Performant, Secure Distributed Training Framework For LLM - Wei Huang; Yinggui Wang; Anda Cheng; Aihui Zhou; Chaofan Yu; Lei Wang (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 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)

Information Leakage from Embedding in Large Language Models - Zhipeng Wan; Anda Cheng; Yinggui Wang; Lei Wang (CoRR, 2024)

APGP: Accuracy-Preserving Generative Perturbation for Defending Against Model Cloning Attacks - Anda Cheng; Jian Cheng (IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, 2023)

HPN: Personalized Federated Hyperparameter Optimization - Anda Cheng; Zhen Wang; Yaliang Li; Jian Cheng (CoRR, 2023)

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy - Anda Cheng; Jiaxing Wang; Xi Sheryl Zhang; Qiang Chen; Peisong Wang; Jian Cheng (Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022)

Differentially Private Federated Learning with Local Regularization and Sparsification - Anda Cheng; Peisong Wang; Xi Sheryl Zhang; Jian Cheng (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient - Weihan Cao; Yifan Zhang; Jianfei Gao; Anda Cheng; Ke Cheng; Jian Cheng (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Differentially Private Federated Learning with Local Regularization and Sparsification - Anda Cheng; Peisong Wang; Xi Sheryl Zhang; Jian Cheng (CoRR, 2022)

PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient - Weihan Cao; Yifan Zhang; Jianfei Gao; Anda Cheng; Ke Cheng; Jian Cheng (CoRR, 2022)

SpatialFlow: Bridging All Tasks for Panoptic Segmentation - Qiang Chen; Anda Cheng; Xiangyu He; Peisong Wang; Jian Cheng (IEEE Trans. Circuits Syst. Video Technol., 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)

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy - Anda Cheng; Jiaxing Wang; Xi Sheryl Zhang; Qiang Chen; Peisong Wang; Jian Cheng (CoRR, 2021)

Robust one-stage object detection with location-aware classifiers - Qiang Chen; Peisong Wang; Anda Cheng; Wanguo Wang; Yifan Zhang; Jian Cheng (Pattern Recognit., 2020)

SpatialFlow: Bridging All Tasks for Panoptic Segmentation - Qiang Chen; Anda Cheng; Xiangyu He; Peisong Wang; Jian Cheng (CoRR, 2019)

Location-aware Upsampling for Semantic Segmentation - Xiangyu He; Zitao Mo; Qiang Chen; Anda Cheng; Peisong Wang; Jian Cheng (CoRR, 2019)