Hao Wang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Machine Learning

Diffusion Models

Top Venues

IEEE/ACM Trans. Netw.

Publications

Jie Lian, Xu Yuan, Jiadong Lou, Li Chen, Hao Wang, Nian-Feng Tzeng
Room-scale Location Trace Tracking via Continuous Acoustic Waves. ACM Trans. Sens. Networks 20 (3) (2024)
Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang
Poisoning with A Pill: Circumventing Detection in Federated Learning. CoRR (2024)
Liang Li, Chenpei Huang, Dian Shi, Hao Wang, Xiangwei Zhou, Minglei Shu, Miao Pan
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation. IEEE Trans. Wirel. Commun. 23 (2) (2024)
Hongjian Shi, Hao Wang, Ruhui Ma, Yang Hua, Tao Song, Honghao Gao, Haibing Guan
Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System. ACM Trans. Multim. Comput. Commun. Appl. 20 (2) (2024)
Gang Yan, Hao Wang, Xu Yuan, Jian Li
FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation. KDD (2024)
Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, Seung-Jong Park
RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing. ASPLOS (1) (2024)
Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. CoRR (2024)
Xiaoyu Wu, Jiaru Zhang, Yang Hua, Bohan Lyu, Hao Wang, Tao Song, Haibing Guan
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks. CoRR (2024)
Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. ICLR (2024)
Gang Yan, Hao Wang, Xu Yuan, Jian Li
DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness. AAAI (2023)
Gang Yan, Hao Wang, Xu Yuan, Jian Li
CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning. KDD (2023)
Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. KDD (2023)
Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. AAAI (2023)
Kun Liang, Ruhui Ma, Yang Hua, Hao Wang, Ningxin Hu, Tao Song, Honghao Gao, Haibing Guan
: Distributed AI-enabled OK-ASN Service for Web of Things. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (5) (2023)
Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. CoRR (2023)
Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. CoRR (2023)
Zinuo Cai, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Haibing Guan
Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs. CoRR (2023)
Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan
Information Bound and Its Applications in Bayesian Neural Networks. ECAI (2023)
Hanfei Yu, Christian Fontenot, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park
Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters. HPDC (2023)
Jiadong Lou, Xu Yuan, Miao Pan, Hao Wang, Nian-Feng Tzeng
Data Privacy Examination against Semi-Supervised Learning. AsiaCCS (2023)
Yiqing Ma, Hao Wang, Yiming Zhang, Kai Chen
AutoByte: Automatic Configuration for Optimal Communication Scheduling in DNN Training. INFOCOM (2022)
Wanyu Lin, Hao Lan, Hao Wang, Baochun Li
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. CoRR (2022)
Hao Wang, Di Niu, Baochun Li
Turbo: Dynamic and Decentralized Global Analytics via Machine Learning. IEEE Trans. Parallel Distributed Syst. 31 (6) (2020)
Hao Wang, Baochun Li
Mitigating Bottlenecks in Wide Area Data Analytics via Machine Learning. IEEE Trans. Netw. Sci. Eng. 7 (1) (2020)
Hao Wang, Di Niu, Baochun Li
Distributed Machine Learning with a Serverless Architecture. INFOCOM (2019)
Hao Wang, Di Niu, Baochun Li
Dynamic and Decentralized Global Analytics via Machine Learning. SoCC (2018)
Shuhao Liu, Hao Wang, Baochun Li
Optimizing Shuffle in Wide-Area Data Analytics. ICDCS (2017)
Hao Wang, Baochun Li
Lube: Mitigating Bottlenecks in Wide Area Data Analytics. HotCloud (2017)
Hong Zhang, Kai Chen, Wei Bai, Dongsu Han, Chen Tian, Hao Wang, Haibing Guan, Ming Zhang
Guaranteeing Deadlines for Inter-Data Center Transfers. IEEE/ACM Trans. Netw. 25 (1) (2017)
Wei Bai, Li Chen, Kai Chen, Dongsu Han, Chen Tian, Hao Wang
PIAS: Practical Information-Agnostic Flow Scheduling for Commodity Data Centers. IEEE/ACM Trans. Netw. 25 (4) (2017)
Shuihai Hu, Kai Chen, Haitao Wu, Wei Bai, Chang Lan, Hao Wang, Hongze Zhao, Chuanxiong Guo
Explicit Path Control in Commodity Data Centers: Design and Applications. IEEE/ACM Trans. Netw. 24 (5) (2016)
Yang Peng, Kai Chen, Guohui Wang, Wei Bai, Yangming Zhao, Hao Wang, Yanhui Geng, Zhiqiang Ma, Lin Gu
Towards Comprehensive Traffic Forecasting in Cloud Computing: Design and Application. IEEE/ACM Trans. Netw. 24 (4) (2016)
Hong Zhang, Kai Chen, Wei Bai, Dongsu Han, Chen Tian, Hao Wang, Haibing Guan, Ming Zhang
Guaranteeing deadlines for inter-datacenter transfers. EuroSys (2015)
Shuihai Hu, Kai Chen, Haitao Wu, Wei Bai, Chang Lan, Hao Wang, Hongze Zhao, Chuanxiong Guo
Explicit Path Control in Commodity Data Centers: Design and Applications. NSDI (2015)
Wei Bai, Kai Chen, Hao Wang, Li Chen, Dongsu Han, Chen Tian
Information-Agnostic Flow Scheduling for Commodity Data Centers. NSDI (2015)
Hao Wang, Li Chen, Kai Chen, Ziyang Li, Yiming Zhang, Haibing Guan, Zhengwei Qi, Dongsheng Li, Yanhui Geng
FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing. ICDCS (2015)
Hao Wang, Yangming Zhao, Haibing Guan
On pricing schemes in data center network with game theoretic approach. ICCCN (2014)