Ang Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 59

Top Topics

Nonlinear Programming

Top Venues

Publications

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 (2024)
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 (2024)
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)
Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. WSDM (2024)
Tianyue Zheng, Ang Li, Zhe Chen, Hongbo Wang, Jun Luo
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving. MobiCom (2023)
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)
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 (2023)
Wei Du, Ang Li, Qinghua Li, Pan Zhou
Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming. IEEE Trans. Cloud Comput. 11 (1) (2023)
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)
Jiachen Mao, Qing Yang, Ang Li, Kent W. Nixon, Hai Li, Yiran Chen
Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21 (3) (2022)
Jingwei Sun, Ang Li, Lin Duan, Samiul Alam, Xuliang Deng, Xin Guo, Haiming Wang, Maria Gorlatova, Mi Zhang, Hai Li, Yiran Chen
FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. SenSys (2022)
Wei Du, Ang Li, Pan Zhou, Ben Niu, Dapeng Wu
PrivacyEye: A Privacy-Preserving and Computationally Efficient Deep Learning-Based Mobile Video Analytics System. IEEE Trans. Mob. Comput. 21 (9) (2022)
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)
Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. ICDM (2022)
Zhihui Gao, Minxue Tang, Ang Li, Yiran Chen
An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors. ISQED (2022)
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 (2022)
Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. CoRR (2022)
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)
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)
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)
Zhihui Gao, Ang Li, Dong Li, Jialin Liu, Jie Xiong, Yu Wang, Bing Li, Yiran Chen
MOM: Microphone based 3D Orientation Measurement. IPSN (2022)
Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. KDD (2021)
Tong Wu, Pan Zhou, Binghui Wang, Ang Li, Xueming Tang, Zichuan Xu, Kai Chen, Xiaofeng Ding
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) (2021)
Ximing Qiao, Yuhua Bai, Siping Hu, Ang Li, Yiran Chen, Hai Li
On Provable Backdoor Defense in Collaborative Learning. CoRR (2021)
Ang Li, Jiayi Guo, Huanrui Yang, Flora D. Salim, Yiran Chen
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones. IoTDI (2021)
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)
Zhihui Gao, Ang Li, Yunfan Gao, Yu Wang, Yiran Chen
Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G. EWSN (2021)
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)
Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. CoRR (2021)
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 (2021)
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)
Zhihui Gao, Ang Li, Yunfan Gao, Yu Wang, Yiran Chen
Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G. CoRR (2021)
Jiachen Mao, Huanrui Yang, Ang Li, Hai Li, Yiran Chen
TPrune: Efficient Transformer Pruning for Mobile Devices. ACM Trans. Cyber Phys. Syst. 5 (3) (2021)
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)
Ang Li, Jingwei Sun, Pengcheng Li, Yu Pu, Hai Li, Yiran Chen
Hermes: an efficient federated learning framework for heterogeneous mobile clients. MobiCom (2021)
Ang Li, Jingwei Sun, Xiao Zeng, Mi Zhang, Hai Li, Yiran Chen
FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking. SenSys (2021)
Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR (2021)
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)
Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. CoRR (2021)
Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations. CoRR (2020)
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)
Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni
MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones. CoRR (2020)
Binghui Wang, Ang Li, Hai Li, Yiran Chen
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. CoRR (2020)
Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni
MVStylizer: an efficient edge-assisted video photorealistic style transfer system for mobile phones. MobiHoc (2020)
Wei Du, Ang Li, Pan Zhou, Zichuan Xu, Xiumin Wang, Hao Jiang, Dapeng Oliver Wu
Approximate to Be Great: Communication Efficient and Privacy-Preserving Large-Scale Distributed Deep Learning in Internet of Things. IEEE Internet Things J. 7 (12) (2020)
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)
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)
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 (2020)
Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR (2020)
David Darling, Ang Li, Qinghua Li
Automated Bystander Detection and Anonymization in Mobile Photography. SecureComm (1) (2020)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni
An efficient edge-assisted mobile system for video photorealistic style transfer: poster abstract. SEC (2019)
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)
Chunpeng Wu, Ang Li, Bing Li, Yiran Chen
Efficiently Learning a Robust Self-Driving Model with Neuron Coverage Aware Adaptive Filter Reuse. SiPS (2019)
Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni
An efficient mobile-edge collaborative system for video photorealistic style transfer. SEC (2019)
Ang Li, Jiayi Guo, Huanrui Yang, Yiran Chen
DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification. CoRR (2019)