Hongtao Lv

29 papers A* 4A 3B 4C 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures.
CoRR
Jiacheng Wang, Hongtao Lv, Lei Liu
2025 — conf
Incomplete Multi-View Drug Recommendation via Multi-Level Representation Learning and Curriculum Learning.
KDD (2)
Ning Liu, Yunsen Tang, Haitao Yuan, Hongtao Lv, Lili Jiang, Zhen Li, Wei Zhang, Jianyong Wang
2025 J jnl
LoRP: LLM-based Logical Reasoning via Prolog.
Knowl. Based Syst.
Zhengkun Di, Chaoli Zhang, Hongtao Lv, Lizhen Cui, Lei Liu
2025 J jnl
Similarity and Diversity: PCA-Based Contribution Evaluation in Federated Learning.
IEEE Internet Things J.
Zhiheng Liu, Hongtao Lv, Xiangyu Liu, Chenhao Ma, Fan Wu, Lei Liu, Lizhen Cui
2025 — conf
The Illusion of Randomness: How LLMs Fail to Emulate Stochastic Decision-Making in Rock-Paper-Scissors Games?
EMNLP (Findings)
Zihao Guo, Hongtao Lv, Chaoli Zhang, Yibowen Zhao, Yixin Zhang, Lizhen Cui
2024 J jnl
Adaptive Incentive for Cross-Silo Federated Learning in IIoT: A Multiagent Reinforcement Learning Approach.
IEEE Internet Things J.
Shijing Yuan, Beiyu Dong, Hongtao Lv, Hongze Liu, Hongyang Chen, Chentao Wu, Song Guo, Yue Ding, Jie Li
2024 B conf
Budget-Feasible Double Auction Mechanisms for Model Training Services in Federated Learning Market.
TrustCom
Ting Zhou, Hongtao Lv, Ning Liu, Lei Liu
2024 A* conf
RobFL: Robust Federated Learning via Feature Center Separation and Malicious Center Detection.
ICDE
Ting Zhou, Ning Liu, Bo Song, Hongtao Lv, Deke Guo, Lei Liu
2024 A conf
Towards Efficient Auction Design with ROI Constraints.
AAMAS
Xinyu Tang, Hongtao Lv, Yingjie Gao, Fan Wu, Lei Liu, Lizhen Cui
2023 J jnl
Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach.
CoRR
Shijing Yuan, Hongze Liu, Hongtao Lv, Zhanbo Feng, Jie Li, Hongyang Chen, Chentao Wu
2023 — conf
Auction Design for Bidders with Ex Post ROI Constraints.
WINE
Hongtao Lv, Xiaohui Bei, Zhenzhe Zheng, Fan Wu
2023 J jnl
Auction Design for Bidders with Ex Post ROI Constraints.
CoRR
Hongtao Lv, Xiaohui Bei, Zhenzhe Zheng, Fan Wu
2023 B conf
Crowdsourcing-based Model Testing in Federated Learning.
TrustCom
Yunpeng Yi, Hongtao Lv, Tie Luo, Junfeng Yang, Lei Liu, Lizhen Cui
2023 A conf
TradeFL: A Trading Mechanism for Cross-Silo Federated Learning.
ICDCS
Shijing Yuan, Hongtao Lv, Hongze Liu, Chentao Wu, Song Guo, Zhi Liu, Hongyang Chen, Jie Li
2023 A* conf
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising.
AAAI
Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu
2022 J jnl
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising.
CoRR
Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu
2021 B conf
Data-Free Evaluation of User Contributions in Federated Learning.
WiOpt
Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv
2021 J jnl
Data-Free Evaluation of User Contributions in Federated Learning.
CoRR
Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv
2021 A* conf
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising.
KDD
Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu
2021 J jnl
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising.
CoRR
Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu
2021 J jnl
Strategy-Proof Online Mechanisms for Weighted AoI Minimization in Edge Computing.
IEEE J. Sel. Areas Commun.
Hongtao Lv, Zhenzhe Zheng, Fan Wu, Guihai Chen
2020 J jnl
Hardness of and approximate mechanism design for the bike rebalancing problem.
Theor. Comput. Sci.
Hongtao Lv, Fan Wu, Tie Luo, Xiaofeng Gao, Guihai Chen
2020 A* conf
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems.
AAAI
Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen
2019 J jnl
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems.
CoRR
Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen
2018 C conf
Achieving Location Truthfulness in Rebalancing Supply-Demand Distribution for Bike Sharing.
AAIM
Hongtao Lv, Fan Wu, Tie Luo, Xiaofeng Gao, Guihai Chen
2017 — conf
Neural learning for the emergence of social norms in multiagent systems.
ICA
Chao Yu, Yatong Chen, Hongtao Lv, Jiankang Ren, Hongwei Ge, Liang Sun
2016 B conf
Adaptive Learning for Efficient Emergence of Social Norms in Networked Multiagent Systems.
PRICAI
Chao Yu, Hongtao Lv, Sandip Sen, Fenghui Ren, Guozhen Tan
2016 A conf
An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract).
AAMAS
Chao Yu, Hongtao Lv, Sandip Sen, Jianye Hao, Fenghui Ren, Rui Liu
2015 — conf
Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems.
Australasian Conference on Artificial Intelligence
Chao Yu, Hongtao Lv, Fenghui Ren, Honglin Bao, Jianye Hao