Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems. - Chao Yu 004; Hongtao Lv; Fenghui Ren; Honglin Bao; Jianye Hao (Australasian Conference on Artificial Intelligence, 2015)

An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract). - Chao Yu 004; Hongtao Lv; Sandip Sen; Jianye Hao; Fenghui Ren; Rui Liu (AAMAS, 2016)

Adaptive Learning for Efficient Emergence of Social Norms in Networked Multiagent Systems. - Chao Yu 004; Hongtao Lv; Sandip Sen; Fenghui Ren; Guozhen Tan (PRICAI, 2016)

Neural learning for the emergence of social norms in multiagent systems. - Chao Yu 004; Yatong Chen; Hongtao Lv; Jiankang Ren; Hongwei Ge; Liang Sun 003 (ICA, 2017)

Achieving Location Truthfulness in Rebalancing Supply-Demand Distribution for Bike Sharing. - Hongtao Lv; Fan Wu 006; Tie Luo 001; Xiaofeng Gao 001; Guihai Chen (AAIM, 2018)

Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. - Hongtao Lv; Chaoli Zhang 003; Zhenzhe Zheng; Tie Luo 001; Fan Wu 006; Guihai Chen (AAAI, 2020)

Hardness of and approximate mechanism design for the bike rebalancing problem. - Hongtao Lv; Fan Wu 006; Tie Luo 001; Xiaofeng Gao 001; Guihai Chen (Theor. Comput. Sci., 2020)

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. - Xiangyu Liu; Chuan Yu; Zhilin Zhang 003; Zhenzhe Zheng; Yu Rong; Hongtao Lv; Da Huo 002; Yiqing Wang; Dagui Chen; Jian Xu 015; Fan Wu 006; Guihai Chen; et al. (KDD, 2021)

Data-Free Evaluation of User Contributions in Federated Learning. - Hongtao Lv; Zhenzhe Zheng; Tie Luo 001; Fan Wu 006; Shaojie Tang 001; Lifeng Hua; Rongfei Jia; Chengfei Lv (WiOpt, 2021)

Strategy-Proof Online Mechanisms for Weighted AoI Minimization in Edge Computing. - Hongtao Lv; Zhenzhe Zheng; Fan Wu 006; Guihai Chen (IEEE J. Sel. Areas Commun., 2021)

Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. - Hongtao Lv; Zhilin Zhang 003; Zhenzhe Zheng; Jinghan Liu; Chuan Yu; Lei Liu 003; Lizhen Cui; Fan Wu 006 (AAAI, 2023)

TradeFL: A Trading Mechanism for Cross-Silo Federated Learning. - Shijing Yuan; Hongtao Lv; Hongze Liu; Chentao Wu; Song Guo 001; Zhi Liu 002; Hongyang Chen; Jie Li 002 (ICDCS, 2023)

Crowdsourcing-based Model Testing in Federated Learning. - Yunpeng Yi; Hongtao Lv; Tie Luo 001; Junfeng Yang; Lei Liu 003; Lizhen Cui (TrustCom, 2023)

Auction Design for Bidders with Ex Post ROI Constraints. - Hongtao Lv; Xiaohui Bei; Zhenzhe Zheng; Fan Wu 006 (WINE, 2023)

Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach. - Shijing Yuan; Hongze Liu; Hongtao Lv; Zhanbo Feng; Jie Li 002; Hongyang Chen; Chentao Wu (CoRR, 2023)

Towards Efficient Auction Design with ROI Constraints. - Xinyu Tang; Hongtao Lv; Yingjie Gao; Fan Wu 006; Lei Liu 003; Lizhen Cui (AAMAS, 2024)

RobFL: Robust Federated Learning via Feature Center Separation and Malicious Center Detection. - Ting Zhou; Ning Liu 014; Bo Song; Hongtao Lv; Deke Guo; Lei Liu 003 (ICDE, 2024)

Budget-Feasible Double Auction Mechanisms for Model Training Services in Federated Learning Market. - Ting Zhou; Hongtao Lv; Ning Liu 014; Lei Liu 003 (TrustCom, 2024)

Adaptive Incentive for Cross-Silo Federated Learning in IIoT: A Multiagent Reinforcement Learning Approach. - Shijing Yuan; Beiyu Dong; Hongtao Lv; Hongze Liu; Hongyang Chen; Chentao Wu; Song Guo 001; Yue Ding 001; Jie Li 002 (IEEE Internet Things J., 2024)

LoRP: LLM-based Logical Reasoning via Prolog. - Zhengkun Di; Chaoli Zhang; Hongtao Lv; Lizhen Cui; Lei Liu 003 (Knowl. Based Syst., 2025)

FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures. - Jiacheng Wang; Hongtao Lv; Lei Liu (CoRR, 2025)

Similarity and Diversity: PCA-Based Contribution Evaluation in Federated Learning. - Zhiheng Liu; Hongtao Lv; Xiangyu Liu; Chenhao Ma 001; Fan Wu 006; Lei Liu 003; Lizhen Cui (IEEE Internet Things J., 2025)