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ORCIDHao Wang 0022
- > Home > Persons > Hao Wang 0022
Publications
- 2026
[c51]Zixun Xiong
, Hao Wang, Jian Li, Yang Hua, Miao Pan, Xiaojiang Du:
Deep Learning Backdoor Defense via Adaptive Trigger Collisions in Latent Space. AsiaCCS 2026: 591-607- [i28]Rui Wei, Hanfei Yu, Shubham Jain, Yogarajan Sivakumar, Devesh Tiwari, Jian Li, Seung-Jong Park, Hao Wang:
RLHFless: Serverless Computing for Efficient RLHF. CoRR abs/2602.22718 (2026) - [i26]Rui Wei, Rui Du, Hanfei Yu, Devesh Tiwari, Jian Li, Zhaozhuo Xu, Hao Wang:
The Diminishing Returns of Early-Exit Decoding in Modern LLMs. CoRR abs/2603.23701 (2026) - 2025
- [c45]Rui Wei, Hanfei Yu, Xikang Song, Jian Li, Devesh Tiwari, Ying Mao, Hao Wang:
Multi-Agent Reinforcement Learning with Serverless Computing. SoCC 2025: 225-239 - 2024
- [j14]Hanfei Yu, Jacob Carter, Hao Wang, Devesh Tiwari, Jian Li, Seung-Jong Park:
Nitro: Boosting Distributed Reinforcement Learning with Serverless Computing. Proc. VLDB Endow. 18(1): 66-79 (2024) - [j10]Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park:
Freyr $^+$+: Harvesting Idle Resources in Serverless Computing via Deep Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 35(11): 2254-2269 (2024) - [c39]Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang:
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing. AAAI 2024: 16539-16547 - [c38]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: 335-350 - [c34]Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan:
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. ICLR 2024 - [c33]Gang Yan, Hao Wang, Xu Yuan, Jian Li:
FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation. KDD 2024: 3667-3678 - [c31]Gang Yan, Hao Wang, Xu Yuan, Jian Li:
Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods. RAID 2024: 496-512 - [c30]Hanfei Yu, Hao Wang, Devesh Tiwari, Jian Li, Seung-Jong Park:
Stellaris: Staleness-Aware Distributed Reinforcement Learning with Serverless Computing. SC 2024: Article 39 - 2023
- [c29]Gang Yan, Hao Wang, Xu Yuan, Jian Li:
DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness. AAAI 2023: 10711-10719 - [c25]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: 181-194 - [c23]Gang Yan, Hao Wang, Xu Yuan, Jian Li:
CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning. KDD 2023: 2898-2907 - [i10]Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan:
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. CoRR abs/2308.04466 (2023) - 2022
- [c20]Gang Yan, Hao Wang, Jian Li:
Seizing Critical Learning Periods in Federated Learning. AAAI 2022: 8788-8796 - [c18]Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park:
Accelerating Serverless Computing by Harvesting Idle Resources. WWW 2022: 1741-1751 - 2021
- [i2]Hanfei Yu, Hao Wang, Jian Li, Seung-Jong Park:
Harvesting Idle Resources in Serverless Computing via Reinforcement Learning. CoRR abs/2108.12717 (2021) - [i1]Gang Yan, Hao Wang, Jian Li:
Critical Learning Periods in Federated Learning. CoRR abs/2109.05613 (2021)
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