Mengxiao Zhang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 65

Top Topics

Multinomial Logit

Incentive Mechanism

Top Venues

ESEC/SIGSOFT FSE

Publications

Chaofei Hong, Mengwen Yuan, Mengxiao Zhang, Xiao Wang, Chengjun Zhang, Jiaxin Wang, Gang Pan, Huajin Tang
SPAIC: A Spike-Based Artificial Intelligence Computing Framework. IEEE Comput. Intell. Mag. 19 (1) (2024)
Mengxiao Zhang, Haipeng Luo
Online Learning in Contextual Second-Price Pay-Per-Click Auctions. AISTATS (2024)
He Zhang, Jianxun Zhang, Rui Wang, Yazhe Huang, Mengxiao Zhang, Xuefeng Shang, Chang Gao
Smart carbon monitoring platform under IoT-Cloud architecture for small cities in B5G. Wirel. Networks 30 (5) (2024)
Yongqiang Tian, Xueyan Zhang, Yiwen Dong, Zhenyang Xu, Mengxiao Zhang, Yu Jiang, Shing-Chi Cheung, Chengnian Sun
On the Caching Schemes to Speed Up Program Reduction. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Mingtang Liu, Mengxiao Zhang, Peng Zhang, Guanghui Wang, Xiaokang Chen, Hao Zhang
Water level prediction model based on blockchain and LSTM. J. Intell. Fuzzy Syst. 46 (1) (2024)
Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro
Provably Efficient Interactive-Grounded Learning with Personalized Reward. CoRR (2024)
Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang
Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics. COLT (2024)
Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro
Efficient Contextual Bandits with Uninformed Feedback Graphs. CoRR (2024)
Gennaro Auricchio, Jie Zhang, Mengxiao Zhang
Extended Ranking Mechanisms for the m-Capacitated Facility Location Problem in Bayesian Mechanism Design. AAMAS (2024)
Mengxiao Zhang, Ramiro Deo-Campo Vuong, Haipeng Luo
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization. CoRR (2024)
Mengxiao Zhang, Haipeng Luo
Contextual Multinomial Logit Bandits with General Value Functions. CoRR (2024)
Zhenyang Xu, Yongqiang Tian, Mengxiao Zhang, Gaosen Zhao, Yu Jiang, Chengnian Sun
Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction. Proc. ACM Program. Lang. 7 (OOPSLA1) (2023)
Mengxiao Zhang, Fernando Beltrán, Jiamou Liu
A Survey of Data Pricing for Data Marketplaces. IEEE Trans. Big Data 9 (4) (2023)
Yiping Liu, Jiamou Liu, Bakh Khoussainov, Miao Qiao, Bo Yan, Mengxiao Zhang
Centralization Problem for Opinion Convergence in Decentralized Networks. ASONAM (2023)
Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. ALT (2023)
Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov
Differentially Private Diffusion Auction: The Single-unit Case. AAMAS (2023)
Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov, Mingyu Xiao
Multi-unit Auction over a Social Network. CoRR (2023)
Weidong Li, Mengxiao Zhang, Libo Zhang, Jiamou Liu
Integrated Private Data Trading Systems for Data Marketplaces. ECAI (2023)
Dapeng Yang, Guanghui Wang, Mingtang Liu, Shuang Yue, Hao Zhang, Xiaokang Chen, Mengxiao Zhang
Lightweight container code recognition based on multi-reuse feature fusion and multi-branch structure merger. J. Real Time Image Process. 20 (6) (2023)
Xiaoxuan Li, Lin Ni, Renee Li, Jiamou Liu, Mengxiao Zhang
MaD: A Dataset for Interview-based BPM in Business Process Management. IJCNN (2023)
Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang
Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics. CoRR (2023)
Weidong Li, Mengxiao Zhang, Libo Zhang, Jiamou Liu
Integrated Private Data Trading Systems for Data Marketplaces. CoRR (2023)
Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov
Differentially Private Diffusion Auction: The Single-unit Case. CoRR (2023)
Mengxiao Zhang, Jiamou Liu, Kaiyu Feng, Fernando Beltrán, Zijian Zhang
SmartAuction: A blockchain-based secure implementation of private data queries. Future Gener. Comput. Syst. 138 (2023)
Gennaro Auricchio, Jie Zhang, Mengxiao Zhang
Extended Ranking Mechanisms for the m-Capacitated Facility Location Problem in Bayesian Mechanism Design. CoRR (2023)
Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov, Mingyu Xiao
Multi-Unit Auction over a Social Network. ECAI (2023)
Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov
Incentivising Diffusion while Preserving Differential Privacy. UAI (2023)
Mengxiao Zhang, Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Shin Hwei Tan, Chengnian Sun
Lampr: Boosting the Effectiveness of Language-Generic Program Reduction via Large Language Models. CoRR (2023)
Mengxiao Zhang, Fernando Beltrán, Jiamou Liu
A Survey of Data Pricing for Data Marketplaces. CoRR (2023)
Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. AISTATS (2023)
Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro
Practical Contextual Bandits with Feedback Graphs. NeurIPS (2023)
Jia Le Tian, Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yiwen Dong, Chengnian Sun
Ad Hoc Syntax-Guided Program Reduction. ESEC/SIGSOFT FSE (2023)
Mengxiao Zhang, Haipeng Luo
Online Learning in Contextual Second-Price Pay-Per-Click Auctions. CoRR (2023)
Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yu Jiang, Chengnian Sun
PPR: Pairwise Program Reduction. ESEC/SIGSOFT FSE (2023)
Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. CoRR (2022)
Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. COLT (2022)
Chaofei Hong, Mengwen Yuan, Mengxiao Zhang, Xiao Wang, Chegnjun Zhang, Jiaxin Wang, Gang Pan, Zhaohui Wu, Huajin Tang
SPAIC: A Spike-based Artificial Intelligence Computing Framework. CoRR (2022)
Shan Fang, Lan Yang, Xiangmo Zhao, Wei Wang, Cheng Wei, Mengxiao Zhang, Siyuan Gong
A Novel Long-time Prediction Car-following Model Based Mixed Seq2seq Architecture. ITSC (2022)
Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou
No-Regret Learning in Time-Varying Zero-Sum Games. CoRR (2022)
Barton P. Miller, Mengxiao Zhang, Elisa R. Heymann
The Relevance of Classic Fuzz Testing: Have We Solved This One? IEEE Trans. Software Eng. 48 (6) (2022)
Haipeng Luo, Mengxiao Zhang, Peng Zhao
Adaptive Bandit Convex Optimization with Heterogeneous Curvature. COLT (2022)
Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. CoRR (2022)
Haipeng Luo, Mengxiao Zhang, Peng Zhao
Adaptive Bandit Convex Optimization with Heterogeneous Curvature. CoRR (2022)
Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. CoRR (2022)
Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou
No-Regret Learning in Time-Varying Zero-Sum Games. ICML (2022)
Mengxiao Zhang, Fernando Beltrán
An Experimental Study on Discovering the Value of Private Data in Data Marketplaces. PACIS (2022)
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously. ICML (2021)
Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games. CoRR (2021)
Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo
Linear Last-iterate Convergence in Constrained Saddle-point Optimization. ICLR (2021)
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously. CoRR (2021)
Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games. COLT (2021)
Mengxiao Zhang, Fernando Beltrán, Jiamou Liu
Incentive Mechanism for Social Network Data Pricing under Privacy Preservation. BSCI (2020)
Chung-Wei Lee, Haipeng Luo, Mengxiao Zhang
A Closer Look at Small-loss Bounds for Bandits with Graph Feedback. CoRR (2020)
Mengxiao Zhang
Incentive Mechanisms for Data Privacy Preservation and Pricing. AAMAS (2020)
Chung-Wei Lee, Haipeng Luo, Mengxiao Zhang
A Closer Look at Small-loss Bounds for Bandits with Graph Feedback. COLT (2020)
Mengxiao Zhang, Fernando Beltrán, Jiamou Liu
Selling Data at an Auction under Privacy Constraints. CoRR (2020)
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs. CoRR (2020)
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs. NeurIPS (2020)
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang
Linear Last-iterate Convergence for Matrix Games and Stochastic Games. CoRR (2020)
Barton P. Miller, Mengxiao Zhang, Elisa R. Heymann
The Relevance of Classic Fuzz Testing: Have We Solved This One? CoRR (2020)
Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Liwei Wang
RANDOM MASK: Towards Robust Convolutional Neural Networks. CoRR (2020)
Mengxiao Zhang, Fernando Beltrán, Jiamou Liu
Selling Data at an Auction under Privacy Constraints. UAI (2020)
Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Di He, Liwei Wang
Defective Convolutional Layers Learn Robust CNNs. CoRR (2019)
Mengxiao Zhang, Wangquan Wu, Yanren Zhang, Kun He, Tao Yu, Huan Long, John E. Hopcroft
The Local Dimension of Deep Manifold. CoRR (2017)
Haifei Yu, Mengxiao Zhang
Data pricing strategy based on data quality. Comput. Ind. Eng. 112 (2017)