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Ang Li 0005
Person information
- affiliation: Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
- affiliation (PhD 2018): University of Arkansas, Fayetteville, AR, USA
Other persons with the same name
- Ang Li — disambiguation page
- Ang Li 0001
— University of Maryland, College Park, MD, USA
- Ang Li 0002 — Duke University, Durham, NC, USA
- Ang Li 0003
- Ang Li 0004
- Ang Li 0006
- Ang Li 0007
- Ang Li 0008 — University of Melbourne, School of Computing and Information Systems, Parkville, Victoria, Australia
- Ang Li 0009 — Florida State University, Department of Computer Science, Tallahassee, FL, USA (and 1 more)
- Ang Li 0010
- Ang Li 0011
- Ang Li 0012
- Ang Li 0013
- Ang Li 0014
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2020 – today
- 2024
- [c49]Xuzhe Zhang, Yuhao Wu, Elsa D. Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang:
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling. CVPR 2024: 5851-5862 - [c48]Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai Li, Yiran Chen:
SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. MLSys 2024 - [c47]Binghui Wang
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. WSDM 2024: 693-701 - [i34]Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li:
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning. CoRR abs/2405.00705 (2024) - [i33]Zheng Lin, Xuanjie Hu, Yuxin Zhang, Zhe Chen, Zihan Fang, Xianhao Chen, Ang Li, Praneeth Vepakomma, Yue Gao:
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models. CoRR abs/2407.00952 (2024) - [i32]Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li:
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations. CoRR abs/2409.05976 (2024) - [i31]Jianyi Zhang, Hao (Fran)k Yang, Ang Li, Xin Guo, Pu Wang, Haiming Wang, Yiran Chen, Hai Li:
MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on Heterogeneous and Long-tailed Data. CoRR abs/2409.06067 (2024) - [i30]Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong:
Federated Large Language Models: Current Progress and Future Directions. CoRR abs/2409.15723 (2024) - [i29]Yongyang Tang, Zhe Chen, Ang Li, Tianyue Zheng, Zheng Lin, Jia Xu, Pin Lv, Zhe Sun, Yue Gao:
MERIT: Multimodal Wearable Vital Sign Waveform Monitoring. CoRR abs/2410.00392 (2024) - [i28]Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen:
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. CoRR abs/2410.05357 (2024) - 2023
- [j8]Wei Du, Ang Li
Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming. IEEE Trans. Cloud Comput. 11(1): 484-498 (2023) - [c46]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML 2023: 41354-41381 - [c45]Tianyue Zheng
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving. MobiCom 2023: 15:1-15:15 - [c44]Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang:
FedNAR: Federated Optimization with Normalized Annealing Regularization. NeurIPS 2023 - [c43]Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu:
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation. WACV 2023: 4690-4698 - [i27]Tianyue Zheng
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving. CoRR abs/2302.08646 (2023) - [i26]Min Zhang, Fuxun Yu, Yongbo Yu, Minjia Zhang, Ang Li, Xiang Chen:
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients. CoRR abs/2305.15668 (2023) - [i25]Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang:
FedNAR: Federated Optimization with Normalized Annealing Regularization. CoRR abs/2310.03163 (2023) - [i24]Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai (Helen) Li, Yiran Chen:
SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. CoRR abs/2310.18859 (2023) - 2022
- [b1]Ang Li:
Enable Intelligence on Billion Devices with Deep Learning. Duke University, Durham, NC, USA, 2022 - [j7]Jiachen Mao
Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21(3): 33:1-33:21 (2022) - [j6]Wei Du, Ang Li
PrivacyEye: A Privacy-Preserving and Computationally Efficient Deep Learning-Based Mobile Video Analytics System. IEEE Trans. Mob. Comput. 21(9): 3263-3279 (2022) - [c42]Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen:
Next Generation Federated Learning for Edge Devices: An Overview. CIC 2022: 10-15 - [c41]Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen:
Towards collaborative intelligence: routability estimation based on decentralized private data. DAC 2022: 961-966 - [c40]Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. ICDM 2022: 498-507 - [c39]Zhihui Gao, Ang Li, Dong Li
MOM: Microphone based 3D Orientation Measurement. IPSN 2022: 132-144 - [c38]Zhihui Gao, Minxue Tang, Ang Li, Yiran Chen:
An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors. ISQED 2022: 1-6 - [c37]Jingwei Sun, Ang Li, Lin Duan, Samiul Alam
FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. SenSys 2022: 106-119 - [c36]Haiyang Luo, Zhe Sun, Yunqing Sun, Ang Li, Binghui Wang, Jin Cao, Ben Niu:
SmartCircles: A Benefit-Evaluation-Based Privacy Policy Recommender for Customized Photo Sharing. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 2340-2347 - [c35]Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Shawn Bray, Chenchen Liu, Xiang Chen:
Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing. WWW (Companion Volume) 2022: 567-571 - [i23]Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen:
Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data. CoRR abs/2203.16009 (2022) - [i22]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR abs/2209.15245 (2022) - [i21]Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen:
Rethinking Normalization Methods in Federated Learning. CoRR abs/2210.03277 (2022) - [i20]Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen:
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. CoRR abs/2211.06470 (2022) - 2021
- [j5]Jiachen Mao, Huanrui Yang, Ang Li, Hai Li, Yiran Chen:
TPrune: Efficient Transformer Pruning for Mobile Devices. ACM Trans. Cyber Phys. Syst. 5(3): 26:1-26:22 (2021) - [j4]Pan Zhou
Massive Maritime Path Planning: A Contextual Online Learning Approach. IEEE Trans. Cybern. 51(12): 6262-6273 (2021) - [j3]Tong Wu, Pan Zhou
Joint Traffic Control and Multi-Channel Reassignment for Core Backbone Network in SDN-IoT: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Netw. Sci. Eng. 8(1): 231-245 (2021) - [c34]Yiran Chen, Ang Li, Huanrui Yang, Tunhou Zhang, Yuewei Yang, Hai Li, Suman Banerjee, Miroslav Pajic:
AI-Powered IoT System at the Edge. CogMI 2021: 242-251 - [c33]Jingwei Sun
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR 2021: 9311-9319 - [c32]Zhihui Gao, Ang Li, Yunfan Gao, Yu Wang, Yiran Chen:
Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G. EWSN 2021: 13-24 - [c31]Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. HPCC/DSS/SmartCity/DependSys 2021: 933-940 - [c30]Zhihui Gao, Ang Li, Yunfan Gao, Bing Li, Yu Wang, Yiran Chen
FedSwap: A Federated Learning based 5G Decentralized Dynamic Spectrum Access System. ICCAD 2021: 1-6 - [c29]Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning. SEC 2021: 68-79 - [c28]Ang Li, Jiayi Guo, Huanrui Yang, Flora D. Salim, Yiran Chen:
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones. IoTDI 2021: 28-39 - [c27]Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li:
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. KDD 2021: 1667-1676 - [c26]Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li:
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. ACM Multimedia 2021: 2195-2204 - [c25]Ang Li, Jingwei Sun
Hermes: an efficient federated learning framework for heterogeneous mobile clients. MobiCom 2021: 420-437 - [c24]Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li:
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. NeurIPS 2021: 12613-12624 - [c23]Ang Li, Jingwei Sun
FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking. SenSys 2021: 42-55 - [i19]Zhihui Gao, Ang Li, Yunfan Gao, Yu Wang, Yiran Chen:
Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G. CoRR abs/2101.02963 (2021) - [i18]Ximing Qiao, Yuhua Bai, Siping Hu, Ang Li, Yiran Chen, Hai Li:
On Provable Backdoor Defense in Collaborative Learning. CoRR abs/2101.08177 (2021) - [i17]Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li:
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. CoRR abs/2104.10868 (2021) - [i16]Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li:
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. CoRR abs/2107.01475 (2021) - [i15]Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li:
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. CoRR abs/2110.13864 (2021) - 2020
- [j2]Zhe Sun
The QoS and privacy trade-off of adversarial deep learning: An evolutionary game approach. Comput. Secur. 96: 101876 (2020) - [j1]Wei Du, Ang Li, Pan Zhou
Approximate to Be Great: Communication Efficient and Privacy-Preserving Large-Scale Distributed Deep Learning in Internet of Things. IEEE Internet Things J. 7(12): 11678-11692 (2020) - [c22]Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops 2020: 2899-2908 - [c21]Ben Niu, Likun Zhang, Yahong Chen, Ang Li, Wei Du, Jin Cao, Fenghua Li:
A Framework to Preserve User Privacy for Machine Learning as a Service. GLOBECOM 2020: 1-6 - [c20]Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang:
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations. KDD 2020: 824-832 - [c19]Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni:
MVStylizer: an efficient edge-assisted video photorealistic style transfer system for mobile phones. MobiHoc 2020: 31-40 - [c18]David Darling, Ang Li, Qinghua Li:
Automated Bystander Detection and Anonymization in Mobile Photography. SecureComm (1) 2020: 402-424 - [p1]Ang Li, Huanrui Yang, Yiran Chen:
Task-Agnostic Privacy-Preserving Representation Learning via Federated Learning. Federated Learning 2020: 51-65 - [i14]Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR abs/2004.09031 (2020) - [i13]Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang:
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations. CoRR abs/2005.11480 (2020) - [i12]Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni:
MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones. CoRR abs/2005.11630 (2020) - [i11]Ang Li, Wei Du, Qinghua Li:
PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing. CoRR abs/2005.11634 (2020) - [i10]Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. CoRR abs/2008.03371 (2020) - [i9]Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. CoRR abs/2009.00163 (2020) - [i8]Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen:
Evasion Attacks to Graph Neural Networks via Influence Function. CoRR abs/2009.00203 (2020) - [i7]Fuxun Yu, Zirui Xu, Tong Shen, Dimitrios Stamoulis, Longfei Shangguan, Di Wang, Rishi Madhok, Chunshui Zhao, Xin Li, Nikolaos Karianakis, Dimitrios Lymberopoulos, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen:
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination. CoRR abs/2011.03897 (2020) - [i6]Binghui Wang, Ang Li, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. CoRR abs/2012.04187 (2020) - [i5]Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR abs/2012.06043 (2020)
2010 – 2019
- 2019
- [c17]Jiachen Mao, Qing Yang, Ang Li, Hai Helen Li, Yiran Chen:
MobiEye: An Efficient Cloud-based Video Detection System for Real-time Mobile Applications. DAC 2019: 102 - [c16]Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni:
An efficient edge-assisted mobile system for video photorealistic style transfer: poster abstract. SEC 2019: 332-333 - [c15]Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni:
An efficient mobile-edge collaborative system for video photorealistic style transfer. SEC 2019: 344-345 - [c14]Fenghua Li, Zhe Sun
HideMe: Privacy-Preserving Photo Sharing on Social Networks. INFOCOM 2019: 154-162 - [c13]Chunpeng Wu, Ang Li, Bing Li, Yiran Chen:
Efficiently Learning a Robust Self-Driving Model with Neuron Coverage Aware Adaptive Filter Reuse. SiPS 2019: 109-114 - [i4]Ang Li, Jiayi Guo, Huanrui Yang, Yiran Chen:
DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification. CoRR abs/1909.04126 (2019) - 2018
- [c12]Ang Li, David Darling, Qinghua Li:
PhotoSafer: Content-Based and Context-Aware Private Photo Protection for Smartphones. PAC 2018: 10-18 - [c11]Ang Li, Wei Du, Qinghua Li:
PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing. SecureComm (1) 2018: 227-247 - [c10]Wei Du, Ang Li, Qinghua Li:
Privacy-Preserving Multiparty Learning for Logistic Regression. SecureComm (1) 2018: 549-568 - [c9]Ang Li, Wei Du, Qinghua Li:
Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud. SecureComm (1) 2018: 569-587 - [i3]Ang Li, David Darling, Qinghua Li:
PhotoSafer: Content-Based and Context-Aware Private Photo Protection for Smartphones. CoRR abs/1810.01046 (2018) - [i2]Ang Li, Wei Du, Qinghua Li:
Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud. CoRR abs/1810.01048 (2018) - [i1]Wei Du, Ang Li, Qinghua Li:
Privacy-Preserving Multiparty Learning For Logistic Regression. CoRR abs/1810.02400 (2018) - 2017
- [c8]Ang Li, Qinghua Li, Vincent C. Hu:
Access Control for Distributed Processing Systems: Use Cases and General Considerations. CIC 2017: 117-125 - [c7]Ang Li, Peng Li, Tingwen Huang, Edgar Sánchez-Sinencio:
Noise-sensitive feedback loop identification in linear time-varying analog circuits. DATE 2017: 1285-1288 - [c6]Michael A. Mahler, Qinghua Li, Ang Li:
SecureHouse: A home security system based on smartphone sensors. PerCom 2017: 11-20 - 2016
- [c5]Ang Li, Qinghua Li, Wei Gao:
PrivacyCamera: Cooperative Privacy-Aware Photographing with Mobile Phones. SECON 2016: 1-9 - 2015
- [c4]Shuangchen Li, Ang Li, Yongpan Liu, Yuan Xie, Huazhong Yang:
Nonvolatile memory allocation and hierarchy optimization for high-level synthesis. ASP-DAC 2015: 166-171 - [c3]Shuangchen Li, Ang Li, Yuan Zhe, Yongpan Liu, Peng Li, Guangyu Sun, Yu Wang, Huazhong Yang, Yuan Xie:
Leveraging emerging nonvolatile memory in high-level synthesis with loop transformations. ISLPED 2015: 61-66 - [c2]Ang Li, Qinghua Li, Vincent C. Hu
Evaluating the capability and performance of access control policy verification tools. MILCOM 2015: 366-371 - 2014
- [c1]Daming Zhang, Shuangchen Li, Ang Li, Yongpan Liu, Xiaobo Sharon Hu
Intra-task scheduling for storage-less and converter-less solar-powered nonvolatile sensor nodes. ICCD 2014: 348-354
Coauthor Index
[c48] [c47] [i31] [i30] [c46] [c43] [i24] [j7] [c42] [c41] [c40] [c39] [c38] [c37] [i23] [i22] [i21] [i20] [j5] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c25] [c24] [c23] [i19] [i18] [i16] [i15] [c22] [c20] [c19] [p1] [i14] [i13] [i12] [i10] [i9] [i8] [i7] [i6] [i5] [c17] [c16] [c15] [c13] [i4]
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