An Online Model Checking Tool for Safety and Liveness Bugs. - Zhengwei Qi; Liang Liu 010; Alei Liang; Hao Wang 022; Ying Chen 004 (ICPADS, 2008)

FLTL-MC: Online High Level Program Analysis for Web Services. - Zhengwei Qi; Liang Liu 010; Fuyuan Zhang; Haibing Guan; Hao Wang 022; Ying Chen 004 (SERVICES I, 2009)

On pricing schemes in data center network with game theoretic approach. - Hao Wang 022; Yangming Zhao; Haibing Guan (ICCCN, 2014)

Guaranteeing deadlines for inter-datacenter transfers. - Hong Zhang 025; Kai Chen 005; Wei Bai 001; Dongsu Han; Chen Tian 001; Hao Wang 022; Haibing Guan; Ming Zhang 005 (EuroSys, 2015)

FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing. - Hao Wang 022; Li Chen 008; Kai Chen 005; Ziyang Li; Yiming Zhang 003; Haibing Guan; Zhengwei Qi; Dongsheng Li 001; Yanhui Geng (ICDCS, 2015)

Information-Agnostic Flow Scheduling for Commodity Data Centers. - Wei Bai 001; Kai Chen 005; Hao Wang 022; Li Chen 008; Dongsu Han; Chen Tian 001 (NSDI, 2015)

Explicit Path Control in Commodity Data Centers: Design and Applications. - Shuihai Hu; Kai Chen 005; Haitao Wu; Wei Bai 001; Chang Lan; Hao Wang 022; Hongze Zhao; Chuanxiong Guo (IEEE/ACM Trans. Netw., 2016)

Towards Comprehensive Traffic Forecasting in Cloud Computing: Design and Application. - Yang Peng; Kai Chen 005; Guohui Wang; Wei Bai 001; Yangming Zhao; Hao Wang 022; Yanhui Geng; Zhiqiang Ma 002; Lin Gu 001 (IEEE/ACM Trans. Netw., 2016)

Lube: Mitigating Bottlenecks in Wide Area Data Analytics. - Hao Wang 022; Baochun Li (HotCloud, 2017)

Optimizing Shuffle in Wide-Area Data Analytics. - Shuhao Liu 001; Hao Wang 022; Baochun Li (ICDCS, 2017)

PIAS: Practical Information-Agnostic Flow Scheduling for Commodity Data Centers. - Wei Bai 001; Li Chen 008; Kai Chen 005; Dongsu Han; Chen Tian 001; Hao Wang 022 (IEEE/ACM Trans. Netw., 2017)

Guaranteeing Deadlines for Inter-Data Center Transfers. - Hong Zhang 025; Kai Chen 005; Wei Bai 001; Dongsu Han; Chen Tian 001; Hao Wang 022; Haibing Guan; Ming Zhang 005 (IEEE/ACM Trans. Netw., 2017)

Dynamic and Decentralized Global Analytics via Machine Learning. - Hao Wang 022; Di Niu; Baochun Li (SoCC, 2018)

Distributed Machine Learning with a Serverless Architecture. - Hao Wang 022; Di Niu; Baochun Li (INFOCOM, 2019)

Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. - Hao Wang 022; Zakhary Kaplan; Di Niu; Baochun Li (INFOCOM, 2020)

Mitigating Bottlenecks in Wide Area Data Analytics via Machine Learning. - Hao Wang 022; Baochun Li (IEEE Trans. Netw. Sci. Eng., 2020)

Turbo: Dynamic and Decentralized Global Analytics via Machine Learning. - Hao Wang 022; Di Niu; Baochun Li (IEEE Trans. Parallel Distributed Syst., 2020)

FaaSRank: Learning to Schedule Functions in Serverless Platforms. - Hanfei Yu; Athirai A. Irissappane; Hao Wang 022; Wes J. Lloyd (ACSOS, 2021)

Siren: Byzantine-robust Federated Learning via Proactive Alarming. - Hanxi Guo; Hao Wang 022; Tao Song 003; Yang Hua 001; Zhangcheng Lv; Xiulang Jin; Zhengui Xue; Ruhui Ma; Haibing Guan (SoCC, 2021)

Self-Supervised Vessel Segmentation via Adversarial Learning. - Yuxin Ma; Yang Hua 001; Hanming Deng; Tao Song 003; Hao Wang 022; Zhengui Xue; Heng Cao; Ruhui Ma; Haibing Guan (ICCV, 2021)

Themis: A Fair Evaluation Platform for Computer Vision Competitions. - Zinuo Cai; Jianyong Yuan; Yang Hua 001; Tao Song 003; Hao Wang 022; Zhengui Xue; Ningxin Hu; Jonathan Ding; Ruhui Ma; Mohammad Reza Haghighat; Haibing Guan (IJCAI, 2021)

Harvesting Idle Resources in Serverless Computing via Reinforcement Learning. - Hanfei Yu; Hao Wang 022; Jian Li 008; Seung-Jong Park (CoRR, 2021)

Critical Learning Periods in Federated Learning. - Gang Yan 002; Hao Wang 022; Jian Li 008 (CoRR, 2021)

SpaceDML: Enabling Distributed Machine Learning in Space Information Networks. - Hanxi Guo; Qing Yang; Hao Wang 022; Yang Hua 001; Tao Song 003; Ruhui Ma; Haibing Guan (IEEE Netw., 2021)

Seizing Critical Learning Periods in Federated Learning. - Gang Yan 002; Hao Wang 022; Jian Li 008 (AAAI, 2022)

Improving Bayesian Neural Networks by Adversarial Sampling. - Jiaru Zhang; Yang Hua 001; Tao Song 003; Hao Wang 022; Zhengui Xue; Ruhui Ma; Haibing Guan (AAAI, 2022)

Accelerating Serverless Computing by Harvesting Idle Resources. - Hanfei Yu; Hao Wang 022; Jian Li 008; Xu Yuan 001; Seung-Jong Park (WWW, 2022)

OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. - Wanyu Lin; Hao Lan; Hao Wang 022; Baochun Li (CoRR, 2022)

DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness. - Gang Yan 002; Hao Wang 022; Xu Yuan 001; Jian Li 008 (AAAI, 2023)

FedALA: Adaptive Local Aggregation for Personalized Federated Learning. - Jianqing Zhang; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (AAAI, 2023)

Data Privacy Examination against Semi-Supervised Learning. - Jiadong Lou; Xu Yuan 001; Miao Pan; Hao Wang 022; Nian-Feng Tzeng (AsiaCCS, 2023)

Information Bound and Its Applications in Bayesian Neural Networks. - Jiaru Zhang; Yang Hua 001; Tao Song 003; Hao Wang 022; Zhengui Xue; Ruhui Ma; Haibing Guan (ECAI, 2023)

Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters. - Hanfei Yu; Christian Fontenot; Hao Wang 022; Jian Li 008; Xu Yuan 001; Seung-Jong Park (HPDC, 2023)

GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. - Jianqing Zhang; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Jian Cao; Haibing Guan (ICCV, 2023)

CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning. - Gang Yan 002; Hao Wang 022; Xu Yuan 001; Jian Li 008 (KDD, 2023)

FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. - Jianqing Zhang; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (KDD, 2023)

Eliminating Domain Bias for Federated Learning in Representation Space. - Jianqing Zhang; Yang Hua 001; Jian Cao; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (NeurIPS, 2023)

Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs. - Zinuo Cai; Hao Wang 022; Tao Song 003; Yang Hua 001; Ruhui Ma; Haibing Guan (CoRR, 2023)

PFLlib: Personalized Federated Learning Algorithm Library. - Jianqing Zhang; Yang Liu 165; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Jian Cao (CoRR, 2023)

WH2D2N2: Distributed AI-enabled OK-ASN Service for Web of Things. - Kun Liang; Ruhui Ma; Yang Hua 001; Hao Wang 022; Ningxin Hu; Tao Song 003; Honghao Gao; Haibing Guan (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing. - Hanfei Yu; Jian Li 008; Yang Hua 001; Xu Yuan 001; Hao Wang 022 (AAAI, 2024)

RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing. - Hanfei Yu; Rohan Basu Roy; Christian Fontenot; Devesh Tiwari; Jian Li 008; Hong Zhang 025; Hao Wang 022; Seung-Jong Park (ASPLOS (1), 2024)

Pre-Warming is Not Enough: Accelerating Serverless Inference With Opportunistic Pre-Loading. - Yifan Sui; Hanfei Yu; Yitao Hu; Jianxun Li; Hao Wang 022 (SoCC, 2024)

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. - Xiaoyu Wu; Yang Hua 001; Chumeng Liang; Jiaru Zhang; Hao Wang 022; Tao Song 003; Haibing Guan (CVPR, 2024)

SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks. - Peishen Yan; Hao Wang 022; Tao Song 003; Yang Hua 001; Ruhui Ma; Ningxin Hu; Mohammad Reza Haghighat; Haibing Guan (ECCV (19), 2024)

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. - Haomin Zhuang; Mingxian Yu; Hao Wang 022; Yang Hua 001; Jian Li 008; Xu Yuan 001 (ICLR, 2024)

FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation. - Gang Yan 002; Hao Wang 022; Xu Yuan 001; Jian Li 008 (KDD, 2024)

Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data. - Tao Ling; Siping Shi; Hao Wang 022; Chuang Hu; Dan Wang 002 (ACM Multimedia, 2024)

Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods. - Gang Yan 002; Hao Wang 022; Xu Yuan 001; Jian Li 008 (RAID, 2024)

Stellaris: Staleness-Aware Distributed Reinforcement Learning with Serverless Computing. - Hanfei Yu; Hao Wang 022; Devesh Tiwari; Jian Li 008; Seung-Jong Park (SC, 2024)

Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks. - Xiaoyu Wu; Jiaru Zhang; Yang Hua 001; Bohan Lyu 001; Hao Wang 022; Tao Song 003; Haibing Guan (CoRR, 2024)

Poisoning with A Pill: Circumventing Detection in Federated Learning. - Hanxi Guo; Hao Wang 022; Tao Song 003; Tianhang Zheng; Yang Hua 001; Haibing Guan; Xiangyu Zhang 001 (CoRR, 2024)

Nitro: Boosting Distributed Reinforcement Learning with Serverless Computing. - Hanfei Yu; Jacob Carter; Hao Wang 022; Devesh Tiwari; Jian Li 008; Seung-Jong Park (Proc. VLDB Endow., 2024)

Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy. - Hanxi Guo; Hao Wang 022; Tao Song 003; Yang Hua 001; Ruhui Ma; Xiulang Jin; Zhengui Xue; Haibing Guan (IEEE Trans. Dependable Secur. Comput., 2024)

Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System. - Hongjian Shi; Hao Wang 022; Ruhui Ma; Yang Hua 001; Tao Song 003; Honghao Gao; Haibing Guan (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation. - Liang Li; Chenpei Huang; Dian Shi; Hao Wang 022; Xiangwei Zhou; Minglei Shu; Miao Pan (IEEE Trans. Wirel. Commun., 2024)

Room-scale Location Trace Tracking via Continuous Acoustic Waves. - Jie Lian; Xu Yuan 001; Jiadong Lou; Li Chen 019; Hao Wang 022; Nian-Feng Tzeng (ACM Trans. Sens. Networks, 2024)

Freyr $^+$+: Harvesting Idle Resources in Serverless Computing via Deep Reinforcement Learning. - Hanfei Yu; Hao Wang 022; Jian Li 008; Xu Yuan 001; Seung-Jong Park (IEEE Trans. Parallel Distributed Syst., 2024)

WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling. - Huai-An Su; Jiaxiang Geng; Liang Li; Xiaoqi Qin; Yanzhao Hou; Hao Wang 022; Xin Fu; Miao Pan (AAAI, 2025)

FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding. - Peishen Yan; Jun Li 004; Hao Wang 022; Tao Song 003; Yang Hua 001; Peng Lu; Haihui Zhou; Haibing Guan (CoRR, 2025)

THOR: A Generic Energy Estimation Approach for On-Device Training. - Jiaru Zhang; Zesong Wang; Hao Wang 022; Tao Song 003; Huai-an Su; Rui Chen 026; Yang Hua 001; Xiangwei Zhou; Ruhui Ma; Miao Pan; Haibing Guan (CoRR, 2025)

fMoE: Fine-Grained Expert Offloading for Large Mixture-of-Experts Serving. - Hanfei Yu; Xingqi Cui; Hong Zhang 025; Hao Wang 014; Hao Wang 022 (CoRR, 2025)

ServerlessLoRA: Minimizing Latency and Cost in Serverless Inference for LoRA-Based LLMs. - Yifan Sui; Hao Wang 224; Hanfei Yu; Yitao Hu; Jianxun Li; Hao Wang 022 (CoRR, 2025)

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. - Fudong Lin; Jiadong Lou; Hao Wang 022; Brian Jalaian; Xu Yuan 001 (CoRR, 2025)