Hao Wang - RankMe

97 papers A* 21A 11B 2C 1Misc 2Journal 48Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Federated Edge Learning via Wireless and Heterogeneity Aware Subnetwork Scheduling. IEEE Trans. Netw. Liang Li, Jiaxiang Geng, Huai-an Su, Xiaoqi Qin, Yanzhao Hou, Hao Wang, Xin Fu, Miao Pan
2026	J	`jnl`	Accelerating ML Inference via Opportunistic Pre-Loading on Serverless Clusters. IEEE Trans. Parallel Distributed Syst. Yifan Sui, Hanfei Yu, Yitao Hu, Jianxun Li, Hao Wang
2026	—	`conf`	Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks. KDD (1) Xiaoyu Wu, Jiaru Zhang, Yang Hua, Bohan Lyu, Hao Wang, Tao Song, Haibing Guan
2026	J	`jnl`	FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning. CoRR Peishen Yan, Yang Hua, Hao Wang, Jiaru Zhang, Xiaoyu Wu, Tao Song, Haibing Guan
2026	A	`conf`	PARD: Enhancing Goodput for Inference Pipeline via Proactive Request Dropping. EuroSys Zhixin Zhao, Yitao Hu, Simin Chen, Mingfang Ji, Wei Yang, Yuhao Zhang, Laiping Zhao, Wenxin Li, Xiulong Liu, Wenyu Qu, Hao Wang
2026	J	`jnl`	PARD: Enhancing Goodput for Inference Pipeline via Proactive Request Dropping. CoRR Zhixin Zhao, Yitao Hu, Simin Chen, Mingfang Ji, Wei Yang, Yuhao Zhang, Laiping Zhao, Wenxin Li, Xiulong Liu, Wenyu Qu, Hao Wang
2026	—	`conf`	PAT: Accelerating LLM Decoding via Prefix-Aware Attention with Resource Efficient Multi-Tile Kernel. ASPLOS (2) Jinjun Yi, Zhixin Zhao, Yitao Hu, Ke Yan, Weiwei Sun, Hao Wang, Laiping Zhao, Yuhao Zhang, Wenxin Li, Keqiu Li
2026	A*	`conf`	Poisoning with a Pill: Circumventing Detection in Federated Learning. AAAI Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang
2026	J	`jnl`	RLHFless: Serverless Computing for Efficient RLHF. CoRR Rui Wei, Hanfei Yu, Shubham Jain, Yogarajan Sivakumar, Devesh Tiwari, Jian Li, Seung-Jong Park, Hao Wang
2026	A	`conf`	Taming Latency-Memory Trade-Off in MoE-Based LLM Serving via Fine-Grained Expert Offloading. EuroSys Hanfei Yu, Xingqi Cui, Hong Zhang, Hao Wang, Hao Wang
2026	J	`jnl`	The Diminishing Returns of Early-Exit Decoding in Modern LLMs. CoRR Rui Wei, Rui Du, Hanfei Yu, Devesh Tiwari, Jian Li, Zhaozhuo Xu, Hao Wang
2026	J	`jnl`	pFedNavi: Structure-Aware Personalized Federated Vision-Language Navigation for Embodied AI. CoRR Qingqian Yang, Hao Wang, Sai Qian Zhang, Jian Li, Yang Hua, Miao Pan, Tao Song, Zhengwei Qi, Haibing Guan
2025	A	`conf`	ARMing x86 Games: Accelerating Binary Translation Using Software-Only Validated Flag Speculation. MobiSys James Yen, Jiarui Wang, Zhibai Huang, Zhixiang Wei, Ziyang Zhang, Chen Chen, Senhao Yu, Yun Wang, Hao Wang, Zhengwei Qi
2025	J	`jnl`	An Efficient On-Device Federated Learning System Through the Interplay of Client Selection and Batch Size With Watermarked Data. IEEE Trans. Mob. Comput. Tao Ling, Siping Shi, Hao Wang, Chuang Hu, Dan Wang
2025	J	`jnl`	Equinox: Holistic Fair Scheduling in Serving Large Language Models. CoRR Zhixiang Wei, James Yen, Jingyi Chen, Ziyang Zhang, Zhibai Huang, Chen Chen, Xingzi Yu, Yicheng Gu, Chenggang Wu, Yun Wang, Mingyuan Xia, Jie Wu, Hao Wang, Zhengwei Qi
2025	J	`jnl`	FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding. CoRR Peishen Yan, Jun Li, Hao Wang, Tao Song, Yang Hua, Peng Lu, Haihui Zhou, Haibing Guan
2025	A*	`conf`	Harpagon: Minimizing DNN Serving Cost via Efficient Dispatching, Scheduling and Splitting. INFOCOM Zhixin Zhao, Yitao Hu, Ziqi Gong, Guotao Yang, Wenxin Li, Xiulong Liu, Keqiu Li, Hao Wang
2025	J	`jnl`	MobiLLM: Enabling On-Device Fine-Tuning of Billion-Sized LLMs via Server-Assisted Side-Tuning. IEEE J. Sel. Top. Signal Process. Liang Li, Xingke Yang, Wen Wu, Hao Wang, Tomoaki Ohtsuki, Xin Fu, Miao Pan, Xuemin Shen
2025	—	`conf`	Multi-Agent Reinforcement Learning with Serverless Computing. SoCC Rui Wei, Hanfei Yu, Xikang Song, Jian Li, Devesh Tiwari, Ying Mao, Hao Wang
2025	J	`jnl`	PAT: Accelerating LLM Decoding via Prefix-Aware Attention with Resource Efficient Multi-Tile Kernel. CoRR Jinjun Yi, Zhixin Zhao, Yitao Hu, Ke Yan, Weiwei Sun, Hao Wang, Laiping Zhao, Yuhao Zhang, Wenxin Li, Keqiu Li
2025	J	`jnl`	PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark. J. Mach. Learn. Res. Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao
2025	J	`jnl`	POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning. CoRR Kuai Yu, Xiaoyu Wu, Peishen Yan, Qingqian Yang, Linshan Jiang, Hao Wang, Yang Hua, Tao Song, Haibing Guan
2025	J	`jnl`	ServerlessLoRA: Minimizing Latency and Cost in Serverless Inference for LoRA-Based LLMs. CoRR Yifan Sui, Hao Wang, Hanfei Yu, Yitao Hu, Jianxun Li, Hao Wang
2025	J	`jnl`	THOR: A Generic Energy Estimation Approach for On-Device Training. CoRR Jiaru Zhang, Zesong Wang, Hao Wang, Tao Song, Huai-an Su, Rui Chen, Yang Hua, Xiangwei Zhou, Ruhui Ma, Miao Pan, Haibing Guan
2025	—	`conf`	Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. ECML/PKDD (7) Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan
2025	J	`jnl`	Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. CoRR Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan
2025	A*	`conf`	WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling. AAAI Huai-an Su, Jiaxiang Geng, Liang Li, Xiaoqi Qin, Yanzhao Hou, Hao Wang, Xin Fu, Miao Pan
2025	J	`jnl`	fMoE: Fine-Grained Expert Offloading for Large Mixture-of-Experts Serving. CoRR Hanfei Yu, Xingqi Cui, Hong Zhang, Hao Wang, Hao Wang
2024	A*	`conf`	Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. ICLR Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan
2024	A*	`conf`	CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. CVPR Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan
2024	J	`jnl`	CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. CoRR Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan
2024	A*	`conf`	Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing. AAAI Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang
2024	J	`jnl`	Circuit Folding: Modular and Qubit-Level Workload Management in Quantum-Classical Systems. CoRR Shuwen Kan, Yanni Li, Hao Wang, Sara Mouradian, Ying Mao
2024	J	`jnl`	Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation. IEEE Trans. Wirel. Commun. Liang Li, Chenpei Huang, Dian Shi, Hao Wang, Xiangwei Zhou, Minglei Shu, Miao Pan
2024	A	`conf`	Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods. RAID Gang Yan, Hao Wang, Xu Yuan, Jian Li
2024	J	`jnl`	Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks. CoRR Xiaoyu Wu, Jiaru Zhang, Yang Hua, Bohan Lyu, Hao Wang, Tao Song, Haibing Guan
2024	A*	`conf`	FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation. KDD Gang Yan, Hao Wang, Xu Yuan, Jian Li
2024	A*	`conf`	Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data. ACM Multimedia Tao Ling, Siping Shi, Hao Wang, Chuang Hu, Dan Wang
2024	J	`jnl`	Freyr $^+$+: Harvesting Idle Resources in Serverless Computing via Deep Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park
2024	J	`jnl`	Harpagon: Minimizing DNN Serving Cost via Efficient Dispatching, Scheduling and Splitting. CoRR Zhixin Zhao, Yitao Hu, Ziqi Gong, Guotao Yang, Wenxin Li, Xiulong Liu, Keqiu Li, Hao Wang
2024	J	`jnl`	Nitro: Boosting Distributed Reinforcement Learning with Serverless Computing. Proc. VLDB Endow. Hanfei Yu, Jacob Carter, Hao Wang, Devesh Tiwari, Jian Li, Seung-Jong Park
2024	J	`jnl`	Poisoning with A Pill: Circumventing Detection in Federated Learning. CoRR Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang
2024	—	`conf`	Pre-Warming is Not Enough: Accelerating Serverless Inference With Opportunistic Pre-Loading. SoCC Yifan Sui, Hanfei Yu, Yitao Hu, Jianxun Li, Hao Wang
2024	—	`conf`	RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing. ASPLOS (1) Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, Seung-Jong Park
2024	J	`jnl`	Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System. ACM Trans. Multim. Comput. Commun. Appl. Hongjian Shi, Hao Wang, Ruhui Ma, Yang Hua, Tao Song, Honghao Gao, Haibing Guan
2024	J	`jnl`	Room-scale Location Trace Tracking via Continuous Acoustic Waves. ACM Trans. Sens. Networks Jie Lian, Xu Yuan, Jiadong Lou, Li Chen, Hao Wang, Nian-Feng Tzeng
2024	—	`conf`	SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks. ECCV (19) Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, Haibing Guan
2024	J	`jnl`	Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy. IEEE Trans. Dependable Secur. Comput. Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Xiulang Jin, Zhengui Xue, Haibing Guan
2024	A	`conf`	Stellaris: Staleness-Aware Distributed Reinforcement Learning with Serverless Computing. SC Hanfei Yu, Hao Wang, Devesh Tiwari, Jian Li, Seung-Jong Park
2023	J	`jnl`	Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. CoRR Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan
2023	J	`jnl`	Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs. CoRR Zinuo Cai, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Haibing Guan
2023	A*	`conf`	CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning. KDD Gang Yan, Hao Wang, Xu Yuan, Jian Li
2023	A	`conf`	Data Privacy Examination against Semi-Supervised Learning. AsiaCCS Jiadong Lou, Xu Yuan, Miao Pan, Hao Wang, Nian-Feng Tzeng
2023	A*	`conf`	DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness. AAAI Gang Yan, Hao Wang, Xu Yuan, Jian Li
2023	A*	`conf`	Eliminating Domain Bias for Federated Learning in Representation Space. NeurIPS Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
2023	J	`jnl`	Eliminating Domain Bias for Federated Learning in Representation Space. CoRR Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
2023	A*	`conf`	FedALA: Adaptive Local Aggregation for Personalized Federated Learning. AAAI Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
2023	A*	`conf`	FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. KDD Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
2023	J	`jnl`	FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. CoRR Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
2023	A*	`conf`	GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. ICCV Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan
2023	J	`jnl`	GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. CoRR Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan
2023	A	`conf`	Information Bound and Its Applications in Bayesian Neural Networks. ECAI Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan
2023	A	`conf`	Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters. HPDC Hanfei Yu, Christian Fontenot, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park
2023	J	`jnl`	PFLlib: Personalized Federated Learning Algorithm Library. CoRR Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao
2023	J	`jnl`	SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks. CoRR Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad R. Haghighat, Haibing Guan
2022	A*	`conf`	Accelerating Serverless Computing by Harvesting Idle Resources. WWW Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park
2022	J	`jnl`	Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation. CoRR Liang Li, Chenpei Huang, Dian Shi, Hao Wang, Xiangwei Zhou, Minglei Shu, Miao Pan
2022	J	`jnl`	FedALA: Adaptive Local Aggregation for Personalized Federated Learning. CoRR Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
2022	A*	`conf`	Improving Bayesian Neural Networks by Adversarial Sampling. AAAI Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan
2022	J	`jnl`	OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. CoRR Wanyu Lin, Hao Lan, Hao Wang, Baochun Li
2022	A*	`conf`	Seizing Critical Learning Periods in Federated Learning. AAAI Gang Yan, Hao Wang, Jian Li
2021	J	`jnl`	Critical Learning Periods in Federated Learning. CoRR Gang Yan, Hao Wang, Jian Li
2021	—	`conf`	FaaSRank: Learning to Schedule Functions in Serverless Platforms. ACSOS Hanfei Yu, Athirai A. Irissappane, Hao Wang, Wes J. Lloyd
2021	J	`jnl`	Harvesting Idle Resources in Serverless Computing via Reinforcement Learning. CoRR Hanfei Yu, Hao Wang, Jian Li, Seung-Jong Park
2021	A*	`conf`	Self-Supervised Vessel Segmentation via Adversarial Learning. ICCV Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan
2021	—	`conf`	Siren: Byzantine-robust Federated Learning via Proactive Alarming. SoCC Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, Haibing Guan
2021	J	`jnl`	SpaceDML: Enabling Distributed Machine Learning in Space Information Networks. IEEE Netw. Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan
2021	A*	`conf`	Themis: A Fair Evaluation Platform for Computer Vision Competitions. IJCAI Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan
2020	J	`jnl`	Mitigating Bottlenecks in Wide Area Data Analytics via Machine Learning. IEEE Trans. Netw. Sci. Eng. Hao Wang, Baochun Li
2020	A*	`conf`	Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. INFOCOM Hao Wang, Zakhary Kaplan, Di Niu, Baochun Li
2020	J	`jnl`	Turbo: Dynamic and Decentralized Global Analytics via Machine Learning. IEEE Trans. Parallel Distributed Syst. Hao Wang, Di Niu, Baochun Li
2019	A*	`conf`	Distributed Machine Learning with a Serverless Architecture. INFOCOM Hao Wang, Di Niu, Baochun Li
2018	—	`conf`	Dynamic and Decentralized Global Analytics via Machine Learning. SoCC Hao Wang, Di Niu, Baochun Li
2017	J	`jnl`	Guaranteeing Deadlines for Inter-Data Center Transfers. IEEE/ACM Trans. Netw. Hong Zhang, Kai Chen, Wei Bai, Dongsu Han, Chen Tian, Hao Wang, Haibing Guan, Ming Zhang
2017	—	`conf`	Lube: Mitigating Bottlenecks in Wide Area Data Analytics. HotCloud Hao Wang, Baochun Li
2017	A	`conf`	Optimizing Shuffle in Wide-Area Data Analytics. ICDCS Shuhao Liu, Hao Wang, Baochun Li
2017	J	`jnl`	PIAS: Practical Information-Agnostic Flow Scheduling for Commodity Data Centers. IEEE/ACM Trans. Netw. Wei Bai, Li Chen, Kai Chen, Dongsu Han, Chen Tian, Hao Wang
2016	J	`jnl`	Explicit Path Control in Commodity Data Centers: Design and Applications. IEEE/ACM Trans. Netw. Shuihai Hu, Kai Chen, Haitao Wu, Wei Bai, Chang Lan, Hao Wang, Hongze Zhao, Chuanxiong Guo
2016	J	`jnl`	Towards Comprehensive Traffic Forecasting in Cloud Computing: Design and Application. IEEE/ACM Trans. Netw. Yang Peng, Kai Chen, Guohui Wang, Wei Bai, Yangming Zhao, Hao Wang, Yanhui Geng, Zhiqiang Ma, Lin Gu
2015	Misc	`conf`	Explicit Path Control in Commodity Data Centers: Design and Applications. NSDI Shuihai Hu, Kai Chen, Haitao Wu, Wei Bai, Chang Lan, Hao Wang, Hongze Zhao, Chuanxiong Guo
2015	A	`conf`	FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing. ICDCS Hao Wang, Li Chen, Kai Chen, Ziyang Li, Yiming Zhang, Haibing Guan, Zhengwei Qi, Dongsheng Li, Yanhui Geng
2015	A	`conf`	Guaranteeing deadlines for inter-datacenter transfers. EuroSys Hong Zhang, Kai Chen, Wei Bai, Dongsu Han, Chen Tian, Hao Wang, Haibing Guan, Ming Zhang
2015	Misc	`conf`	Information-Agnostic Flow Scheduling for Commodity Data Centers. NSDI Wei Bai, Kai Chen, Hao Wang, Li Chen, Dongsu Han, Chen Tian
2014	B	`conf`	On pricing schemes in data center network with game theoretic approach. ICCCN Hao Wang, Yangming Zhao, Haibing Guan
2013	C	`conf`	A distributed algorithm for agent coalition formation with complex tasks. CSCWD Jian Cao, Hao Wang, Xiaogang Wang
2009	—	`conf`	FLTL-MC: Online High Level Program Analysis for Web Services. SERVICES I Zhengwei Qi, Liang Liu, Fuyuan Zhang, Haibing Guan, Hao Wang, Ying Chen
2008	B	`conf`	An Online Model Checking Tool for Safety and Liveness Bugs. ICPADS Zhengwei Qi, Liang Liu, Alei Liang, Hao Wang, Ying Chen