Ang Li - RankMe

129 papers A* 22A 7B 4C 1Misc 5Journal 68Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FedMOA: Federated GRPO for Personalized Reasoning LLMs under Heterogeneous Rewards. CoRR Ziyao Wang, Daeun Jung, Yexiao He, Guoheng Sun, Zheyu Shen, Myungjin Lee, Ang Li
2026	J	`jnl`	FedMT: Multitask Federated Learning With Competitive GPU Resource Sharing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Chenchen Liu, Zhi Tian, Xiang Chen
2026	J	`jnl`	ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models. CoRR Guoheng Sun, Tingting Du, Kaixi Feng, Chenxiang Luo, Xingguo Ding, Zheyu Shen, Ziyao Wang, Yexiao He, Ang Li
2026	J	`jnl`	Towards Building Non-Fine-Tunable Foundation Models. CoRR Ziyao Wang, Nizhang Li, Pingzhi Li, Guoheng Sun, Tianlong Chen, Ang Li
2026	J	`jnl`	Uncovering the Redundancy in Transformers via a Unified Study of Layer Dropping. Trans. Mach. Learn. Res. Shwai He, Guoheng Sun, Zheyu Shen, Ang Li
2026	J	`jnl`	UniCompress: Token Compression for Unified Vision-Language Understanding and Generation. CoRR Ziyao Wang, Chen Chen, Jingtao Li, Weiming Zhuang, Jiabo Huang, Ang Li, Lingjuan Lyu
2025	J	`jnl`	AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agents. CoRR Yiyi Lu, Hoiian Au, Junyao Zhang, Jingyu Pan, Yiting Wang, Ang Li, Jianyi Zhang, Yiran Chen
2025	—	`conf`	Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety. EMNLP (Findings) Mufan Qiu, Zheyu Shen, Pingzhi Li, Ang Li, Tianlong Chen
2025	J	`jnl`	CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM APIs. CoRR Guoheng Sun, Ziyao Wang, Bowei Tian, Meng Liu, Zheyu Shen, Shwai He, Yexiao He, Wanghao Ye, Yiting Wang, Ang Li
2025	A	`conf`	EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices. MobiSys Zheyu Shen, Yexiao He, Ziyao Wang, Yuning Zhang, Guoheng Sun, Wanghao Ye, Ang Li
2025	J	`jnl`	EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices. CoRR Zheyu Shen, Yexiao He, Ziyao Wang, Yuning Zhang, Guoheng Sun, Wanghao Ye, Ang Li
2025	J	`jnl`	EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code. CoRR Ping Guo, Yiting Wang, Wanghao Ye, Yexiao He, Ziyao Wang, Xiaopeng Dai, Ang Li, Qingfu Zhang
2025	J	`jnl`	MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization. CoRR Yiting Wang, Wanghao Ye, Yexiao He, Yiran Chen, Gang Qu, Ang Li
2025	A	`conf`	MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning. WACV Jianyi Zhang, Hao Yang, Ang Li, Xin Guo, Pu Wang, Haiming Wang, Yiran Chen, Hai Li
2025	J	`jnl`	MindCraft: How Concept Trees Take Shape In Deep Models. CoRR Bowei Tian, Yexiao He, Wanghao Ye, Ziyao Wang, Meng Liu, Ang Li
2025	J	`jnl`	NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis. CoRR Yexiao He, Ziyao Wang, Yuning Zhang, Tingting Dan, Tianlong Chen, Guorong Wu, Ang Li
2025	J	`jnl`	Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation. CoRR Ziyao Wang, Guoheng Sun, Yexiao He, Zheyu Shen, Bowei Tian, Ang Li
2025	J	`jnl`	Recipient-Aware Photo Automatic Deletion Control Policy Recommendation Scheme in Online Social Networks. IEEE Trans. Dependable Secur. Comput. Haiyang Luo, Zhe Sun, Yunqing Sun, Ang Li, Binghui Wang, Jin Cao, Ben Niu
2025	J	`jnl`	Rethinking Latency-Aware DNN Design With GPU Tail Effect Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fuxun Yu, Zirui Xu, Longfei Shangguan, Di Wang, Dimitrios Stamoulis, Rishi Madhok, Nikolaos Karianakis, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen
2025	J	`jnl`	SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning. CoRR Yiting Wang, Wanghao Ye, Ping Guo, Yexiao He, Ziyao Wang, Bowei Tian, Shwai He, Guoheng Sun, Zheyu Shen, Sihan Chen, Ankur Srivastava, Qingfu Zhang, Gang Qu, Ang Li
2025	A*	`conf`	Towards counterfactual fairness through auxiliary variables. ICLR Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li
2025	J	`jnl`	VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation. CoRR Yiting Wang, Guoheng Sun, Wanghao Ye, Gang Qu, Ang Li
2025	J	`jnl`	t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving. IEEE Trans. Mob. Comput. Pengfei Hu, Yuhang Qian, Tianyue Zheng, Ang Li, Zhe Chen, Yue Gao, Xiuzhen Cheng, Jun Luo
2024	J	`jnl`	ADEAS: Authentication Using Doppler Effect of Acoustic Signals Caused by Hands Moving. IEEE Internet Things J. Zhenyang Guo, Hao Yan, Jin Cao, Jiawei Yang, Ben Niu, Ang Li, Hui Li
2024	A	`conf`	Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. WSDM Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen
2024	A*	`conf`	FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations. NeurIPS Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li
2024	J	`jnl`	FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations. CoRR Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li
2024	J	`jnl`	Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias. CoRR Bowei Tian, Yexiao He, Meng Liu, Yucong Dai, Ziyao Wang, Shwai He, Guoheng Sun, Zheyu Shen, Wanghao Ye, Yongkai Wu, Ang Li
2024	A*	`conf`	FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent. ICLR Ziyao Wang, Jianyu Wang, Ang Li
2024	A*	`conf`	Federated Black-box Prompt Tuning System for Large Language Models on the Edge. MobiCom Yiming Li, Jingwei Sun, Yudong Liu, Yuandong Zhang, Ang Li, Beidi Chen, Holger R. Roth, Daguang Xu, Tingjun Chen, Yiran Chen
2024	J	`jnl`	Federated Large Language Models: Current Progress and Future Directions. CoRR Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong
2024	A*	`conf`	MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling. CVPR 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
2024	J	`jnl`	MERIT: Multimodal Wearable Vital Sign Waveform Monitoring. CoRR Yongyang Tang, Zhe Chen, Ang Li, Tianyue Zheng, Zheng Lin, Jia Xu, Pin Lv, Zhe Sun, Yue Gao
2024	J	`jnl`	MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on Heterogeneous and Long-tailed Data. CoRR Jianyi Zhang, Hao (Fran)k Yang, Ang Li, Xin Guo, Pu Wang, Haiming Wang, Yiran Chen, Hai Li
2024	A*	`conf`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. NeurIPS 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
2024	J	`jnl`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. CoRR 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
2024	A*	`conf`	Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies. CCS Peiran Wang, Qiyu Li, Longxuan Yu, Ziyao Wang, Ang Li, Haojian Jin
2024	J	`jnl`	Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies. CoRR Peiran Wang, Qiyu Li, Longxuan Yu, Ziyao Wang, Ang Li, Haojian Jin
2024	J	`jnl`	One Communication Round is All It Needs for Federated Fine-Tuning Foundation Models. CoRR Ziyao Wang, Bowei Tian, Yexiao He, Zheyu Shen, Luyang Liu, Ang Li
2024	A*	`conf`	SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning. NeurIPS Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li
2024	J	`jnl`	SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning. CoRR Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li
2024	—	`conf`	SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. MLSys Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai Li, Yiran Chen
2024	J	`jnl`	SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models. CoRR Zheng Lin, Xuanjie Hu, Yuxin Zhang, Zhe Chen, Zihan Fang, Xianhao Chen, Ang Li, Praneeth Vepakomma, Yue Gao
2024	J	`jnl`	Towards counterfactual fairness thorough auxiliary variables. CoRR Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li
2024	J	`jnl`	t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving. CoRR Pengfei Hu, Yuhang Qian, Tianyue Zheng, Ang Li, Zhe Chen, Yue Gao, Xiuzhen Cheng, Jun Luo
2023	A*	`conf`	AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving. MobiCom Tianyue Zheng, Ang Li, Zhe Chen, Hongbo Wang, Jun Luo
2023	J	`jnl`	AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving. CoRR Tianyue Zheng, Ang Li, Zhe Chen, Hongbo Wang, Jun Luo
2023	A*	`conf`	Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
2023	J	`jnl`	FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients. CoRR Min Zhang, Fuxun Yu, Yongbo Yu, Minjia Zhang, Ang Li, Xiang Chen
2023	J	`jnl`	FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent. CoRR Ziyao Wang, Jianyu Wang, Ang Li
2023	A*	`conf`	FedNAR: Federated Optimization with Normalized Annealing Regularization. NeurIPS Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang
2023	J	`jnl`	FedNAR: Federated Optimization with Normalized Annealing Regularization. CoRR Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang
2023	A	`conf`	Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation. WACV Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu
2023	J	`jnl`	Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming. IEEE Trans. Cloud Comput. Wei Du, Ang Li, Qinghua Li, Pan Zhou
2023	J	`jnl`	SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. CoRR Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai (Helen) Li, Yiran Chen
2022	—	`conf`	An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors. ISQED Zhihui Gao, Minxue Tang, Ang Li, Yiran Chen
2022	—	`—`	Enable Intelligence on Billion Devices with Deep Learning. Ang Li
2022	J	`jnl`	Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
2022	Misc	`conf`	FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. SenSys Jingwei Sun, Ang Li, Lin Duan, Samiul Alam, Xuliang Deng, Xin Guo, Haiming Wang, Maria Gorlatova, Mi Zhang, Hai Li, Yiran Chen
2022	A*	`conf`	GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. ICDM Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen
2022	—	`conf`	MOM: Microphone based 3D Orientation Measurement. IPSN Zhihui Gao, Ang Li, Dong Li, Jialin Liu, Jie Xiong, Yu Wang, Bing Li, Yiran Chen
2022	J	`jnl`	More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. CoRR Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen
2022	—	`conf`	Next Generation Federated Learning for Edge Devices: An Overview. CIC Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen
2022	—	`conf`	Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing. WWW (Companion Volume) Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Shawn Bray, Chenchen Liu, Xiang Chen
2022	J	`jnl`	PrivacyEye: A Privacy-Preserving and Computationally Efficient Deep Learning-Based Mobile Video Analytics System. IEEE Trans. Mob. Comput. Wei Du, Ang Li, Pan Zhou, Ben Niu, Dapeng Wu
2022	J	`jnl`	Rethinking Normalization Methods in Federated Learning. CoRR Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen
2022	—	`conf`	SmartCircles: A Benefit-Evaluation-Based Privacy Policy Recommender for Customized Photo Sharing. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Haiyang Luo, Zhe Sun, Yunqing Sun, Ang Li, Binghui Wang, Jin Cao, Ben Niu
2022	J	`jnl`	Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks. ACM Trans. Embed. Comput. Syst. Jiachen Mao, Qing Yang, Ang Li, Kent W. Nixon, Hai Li, Yiran Chen
2022	J	`jnl`	Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data. CoRR Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen
2022	A*	`conf`	Towards collaborative intelligence: routability estimation based on decentralized private data. DAC Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen
2021	—	`conf`	AI-Powered IoT System at the Edge. CogMI Yiran Chen, Ang Li, Huanrui Yang, Tunhou Zhang, Yuewei Yang, Hai Li, Suman Banerjee, Miroslav Pajic
2021	—	`conf`	DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones. IoTDI Ang Li, Jiayi Guo, Huanrui Yang, Flora D. Salim, Yiran Chen
2021	A*	`conf`	FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. NeurIPS Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li
2021	J	`jnl`	FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. CoRR Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li
2021	Misc	`conf`	FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking. SenSys Ang Li, Jingwei Sun, Xiao Zeng, Mi Zhang, Hai Li, Yiran Chen
2021	A	`conf`	FedSwap: A Federated Learning based 5G Decentralized Dynamic Spectrum Access System. ICCAD Zhihui Gao, Ang Li, Yunfan Gao, Bing Li, Yu Wang, Yiran Chen
2021	B	`conf`	Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G. EWSN Zhihui Gao, Ang Li, Yunfan Gao, Yu Wang, Yiran Chen
2021	J	`jnl`	Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G. CoRR Zhihui Gao, Ang Li, Yunfan Gao, Yu Wang, Yiran Chen
2021	A*	`conf`	Hermes: an efficient federated learning framework for heterogeneous mobile clients. MobiCom Ang Li, Jingwei Sun, Pengcheng Li, Yu Pu, Hai Li, Yiran Chen
2021	J	`jnl`	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. Tong Wu, Pan Zhou, Binghui Wang, Ang Li, Xueming Tang, Zichuan Xu, Kai Chen, Xiaofeng Ding
2021	Misc	`conf`	LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning. SEC Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li
2021	J	`jnl`	Massive Maritime Path Planning: A Contextual Online Learning Approach. IEEE Trans. Cybern. Pan Zhou, Weiguang Zhao, Jianghui Li, Ang Li, Wei Du, Shiping Wen
2021	J	`jnl`	On Provable Backdoor Defense in Collaborative Learning. CoRR Ximing Qiao, Yuhua Bai, Siping Hu, Ang Li, Yiran Chen, Hai Li
2021	A*	`conf`	Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. KDD Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li
2021	J	`jnl`	Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. CoRR Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li
2021	—	`conf`	Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. HPCC/DSS/SmartCity/DependSys Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen
2021	A*	`conf`	Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
2021	J	`jnl`	TPrune: Efficient Transformer Pruning for Mobile Devices. ACM Trans. Cyber Phys. Syst. Jiachen Mao, Huanrui Yang, Ang Li, Hai Li, Yiran Chen
2021	A*	`conf`	Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. ACM Multimedia Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li
2021	J	`jnl`	Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. CoRR Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li
2020	B	`conf`	A Framework to Preserve User Privacy for Machine Learning as a Service. GLOBECOM Ben Niu, Likun Zhang, Yahong Chen, Ang Li, Wei Du, Jin Cao, Fenghua Li
2020	J	`jnl`	Approximate to Be Great: Communication Efficient and Privacy-Preserving Large-Scale Distributed Deep Learning in Internet of Things. IEEE Internet Things J. Wei Du, Ang Li, Pan Zhou, Zichuan Xu, Xiumin Wang, Hao Jiang, Dapeng Oliver Wu
2020	—	`conf`	Automated Bystander Detection and Anonymization in Mobile Photography. SecureComm (1) David Darling, Ang Li, Qinghua Li
2020	J	`jnl`	Evasion Attacks to Graph Neural Networks via Influence Function. CoRR Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen
2020	J	`jnl`	GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. CoRR Binghui Wang, Ang Li, Hai Li, Yiran Chen
2020	—	`conf`	Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
2020	J	`jnl`	Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
2020	J	`jnl`	LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. CoRR Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li
2020	J	`jnl`	MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones. CoRR Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni
2020	B	`conf`	MVStylizer: an efficient edge-assisted video photorealistic style transfer system for mobile phones. MobiHoc Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni
2020	J	`jnl`	PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing. CoRR Ang Li, Wei Du, Qinghua Li
2020	J	`jnl`	Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
2020	J	`jnl`	Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. CoRR Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen
2020	A*	`conf`	TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations. KDD Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang
2020	J	`jnl`	TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations. CoRR Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang
2020	—	`ch.`	Task-Agnostic Privacy-Preserving Representation Learning via Federated Learning. Federated Learning Ang Li, Huanrui Yang, Yiran Chen
2020	J	`jnl`	The QoS and privacy trade-off of adversarial deep learning: An evolutionary game approach. Comput. Secur. Zhe Sun, Lihua Yin, Chao Li, Weizhe Zhang, Ang Li, Zhihong Tian
2020	J	`jnl`	Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination. CoRR 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
2019	Misc	`conf`	An efficient edge-assisted mobile system for video photorealistic style transfer: poster abstract. SEC Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni
2019	Misc	`conf`	An efficient mobile-edge collaborative system for video photorealistic style transfer. SEC Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni
2019	J	`jnl`	DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification. CoRR Ang Li, Jiayi Guo, Huanrui Yang, Yiran Chen
2019	—	`conf`	Efficiently Learning a Robust Self-Driving Model with Neuron Coverage Aware Adaptive Filter Reuse. SiPS Chunpeng Wu, Ang Li, Bing Li, Yiran Chen
2019	A*	`conf`	HideMe: Privacy-Preserving Photo Sharing on Social Networks. INFOCOM Fenghua Li, Zhe Sun, Ang Li, Ben Niu, Hui Li, Guohong Cao
2019	A*	`conf`	MobiEye: An Efficient Cloud-based Video Detection System for Real-time Mobile Applications. DAC Jiachen Mao, Qing Yang, Ang Li, Hai Helen Li, Yiran Chen
2018	—	`conf`	PhotoSafer: Content-Based and Context-Aware Private Photo Protection for Smartphones. PAC Ang Li, David Darling, Qinghua Li
2018	J	`jnl`	PhotoSafer: Content-Based and Context-Aware Private Photo Protection for Smartphones. CoRR Ang Li, David Darling, Qinghua Li
2018	—	`conf`	PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing. SecureComm (1) Ang Li, Wei Du, Qinghua Li
2018	J	`jnl`	Privacy-Preserving Multiparty Learning For Logistic Regression. CoRR Wei Du, Ang Li, Qinghua Li
2018	—	`conf`	Privacy-Preserving Multiparty Learning for Logistic Regression. SecureComm (1) Wei Du, Ang Li, Qinghua Li
2018	—	`conf`	Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud. SecureComm (1) Ang Li, Wei Du, Qinghua Li
2018	J	`jnl`	Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud. CoRR Ang Li, Wei Du, Qinghua Li
2017	—	`conf`	Access Control for Distributed Processing Systems: Use Cases and General Considerations. CIC Ang Li, Qinghua Li, Vincent C. Hu
2017	A	`conf`	Noise-sensitive feedback loop identification in linear time-varying analog circuits. DATE Ang Li, Peng Li, Tingwen Huang, Edgar Sánchez-Sinencio
2017	A*	`conf`	SecureHouse: A home security system based on smartphone sensors. PerCom Michael A. Mahler, Qinghua Li, Ang Li
2016	B	`conf`	PrivacyCamera: Cooperative Privacy-Aware Photographing with Mobile Phones. SECON Ang Li, Qinghua Li, Wei Gao
2015	—	`conf`	Evaluating the capability and performance of access control policy verification tools. MILCOM Ang Li, Qinghua Li, Vincent C. Hu, Jia Di
2015	A	`conf`	Leveraging emerging nonvolatile memory in high-level synthesis with loop transformations. ISLPED Shuangchen Li, Ang Li, Yuan Zhe, Yongpan Liu, Peng Li, Guangyu Sun, Yu Wang, Huazhong Yang, Yuan Xie
2015	—	`conf`	Nonvolatile memory allocation and hierarchy optimization for high-level synthesis. ASP-DAC Shuangchen Li, Ang Li, Yongpan Liu, Yuan Xie, Huazhong Yang
2014	C	`conf`	Intra-task scheduling for storage-less and converter-less solar-powered nonvolatile sensor nodes. ICCD Daming Zhang, Shuangchen Li, Ang Li, Yongpan Liu, Xiaobo Sharon Hu, Huazhong Yang