Haibo Yang - RankMe

49 papers A* 13A 1B 4Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring Large Language Models' Potential for Privacy Leakage Detection in Android App Logs: An Empirical Study. IEEE Softw. Zhiyuan Chen, Vanessa Nava-Camal, Tiash Roy, Zhe Li, Yiming Tang, Xueling Zhang, Haibo Yang
2026	J	`jnl`	Flow Matching for Offline Reinforcement Learning with Discrete Actions. CoRR Fairoz Nower Khan, Nabuat Zaman Nahim, Ruiquan Huang, Haibo Yang, Peizhong Ju
2025	A*	`conf`	Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. ICLR Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
2025	—	`conf`	Achieving Extremely Low Communication Overhead in Federated Learning via Zeroth-Order SignSGD. IEEECONF Zhe Li, Bicheng Ying, Dandan Liang, Zidong Liu, Rui Li, Haibo Yang
2025	A*	`conf`	Do We Really Need to Design New Byzantine-robust Aggregation Rules? NDSS Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundaraja Sitharama Iyengar, Haibo Yang
2025	J	`jnl`	Do We Really Need to Design New Byzantine-robust Aggregation Rules? CoRR Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundaraja Sitharama Iyengar, Haibo Yang
2025	—	`conf`	Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach. CDC Hairi, Yang Jiao, Tianchen Zhou, Haibo Yang, Chaosheng Dong, Fan Yang, Michinari Momma, Yan Gao, Jia Liu
2025	J	`jnl`	Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach. CoRR Hairi, Jiao Yang, Tianchen Zhou, Haibo Yang, Chaosheng Dong, Fan Yang, Michinari Momma, Yan Gao, Jia Liu
2025	A*	`conf`	FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning. IJCAI Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, S. Sitharama Iyengar, Haibo Yang
2025	J	`jnl`	From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning. CoRR Bicheng Ying, Zhe Li, Haibo Yang
2025	A*	`conf`	PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization. AAAI Mingjing Xu, Peizhong Ju, Jia Liu, Haibo Yang
2025	J	`jnl`	Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning. CoRR Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
2025	A	`conf`	STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. UAI Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu
2025	J	`jnl`	STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. CoRR Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu
2025	J	`jnl`	Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach. CoRR Dandan Liang, Jianing Zhang, Evan Chen, Zhe Li, Rui Li, Haibo Yang
2024	J	`jnl`	Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. CoRR Zhe Li, Bicheng Ying, Zidong Liu, Haibo Yang
2024	—	`conf`	Adversarial Attacks to Multi-Modal Models. LAMPS@CCS Zhihao Dou, Xin Hu, Haibo Yang, Zhuqing Liu, Minghong Fang
2024	J	`jnl`	Adversarial Attacks to Multi-Modal Models. CoRR Zhihao Dou, Xin Hu, Haibo Yang, Zhuqing Liu, Minghong Fang
2024	B	`conf`	Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? MobiHoc Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness B. Shroff
2024	J	`jnl`	Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? CoRR Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness B. Shroff
2024	A*	`conf`	Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. ICML Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao
2024	J	`jnl`	Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. CoRR Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao
2024	J	`jnl`	PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization. CoRR Mingjing Xu, Peizhong Ju, Jia Liu, Haibo Yang
2024	A*	`conf`	Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation. ICML Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
2024	J	`jnl`	Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation. CoRR Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
2023	A*	`conf`	Federated Multi-Objective Learning. NeurIPS Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
2023	J	`jnl`	Federated Multi-Objective Learning. CoRR Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
2022	A*	`conf`	Anarchic Federated Learning. ICML Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu
2022	—	`conf`	CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks. SPAWC Jiayu Mao, Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
2022	J	`jnl`	CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks. CoRR Jiayu Mao, Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
2022	A*	`conf`	Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach. ICLR Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi-To Wai, Sijia Liu
2022	J	`jnl`	NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data. CoRR Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
2022	B	`conf`	NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. MobiHoc Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
2022	B	`conf`	Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control. ISIT Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
2022	J	`jnl`	Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control. CoRR Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
2022	A*	`conf`	SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning. NeurIPS Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu
2022	J	`jnl`	SAGDA: Achieving O(ε CoRR Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu
2022	A*	`conf`	Taming Fat-Tailed ("Heavier-Tailed" with Potentially Infinite Variance) Noise in Federated Learning. NeurIPS Haibo Yang, Peiwen Qiu, Jia Liu
2022	J	`jnl`	Taming Fat-Tailed ("Heavier-Tailed" with Potentially Infinite Variance) Noise in Federated Learning. CoRR Haibo Yang, Peiwen Qiu, Jia Liu
2021	A*	`conf`	Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. ICLR Haibo Yang, Minghong Fang, Jia Liu
2021	J	`jnl`	Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. CoRR Haibo Yang, Minghong Fang, Jia Liu
2021	J	`jnl`	Anarchic Federated Learning. CoRR Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu
2021	B	`conf`	CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning. WiOpt Haibo Yang, Jia Liu, Elizabeth S. Bentley
2021	J	`jnl`	CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning. CoRR Haibo Yang, Jia Liu, Elizabeth S. Bentley
2021	A*	`conf`	STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. NeurIPS Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
2021	J	`jnl`	STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. CoRR Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
2020	—	`conf`	Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization. SPAWC Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
2019	—	`conf`	Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CDC Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
2019	J	`jnl`	Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CoRR Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu