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ORCIDMengxiao Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]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): 51-65 (2024)- [j9]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): 2371-2380 (2024) - [j8]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): 17:1-17:30 (2024) - [j7]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): 3837-3853 (2024) - [c31]Mengxiao Zhang, Haipeng Luo:
Online Learning in Contextual Second-Price Pay-Per-Click Auctions. AISTATS 2024: 2395-2403 - [c30]Gennaro Auricchio, Jie Zhang, Mengxiao Zhang:
Extended Ranking Mechanisms for the m-Capacitated Facility Location Problem in Bayesian Mechanism Design. AAMAS 2024: 87-95 - [c29]Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang:
Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics. COLT 2024: 3642-3643 - [c28]Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov:
Meta-Mechanisms for Combinatorial Auctions over Social Networks. ECAI 2024: 3244-3251 - [c27]Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov:
Balancing Efficiency with Equality: Auction Design with Group Fairness Concerns. ECAI 2024: 3252-3259 - [c26]Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro:
Efficient Contextual Bandits with Uninformed Feedback Graphs. ICML 2024 - [c25]Mengxiao Zhang, Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Shin Hwei Tan, Chengnian Sun:
LPR: Large Language Models-Aided Program Reduction. ISSTA 2024: 261-273 - [i32]Mengxiao Zhang, Haipeng Luo:
Contextual Multinomial Logit Bandits with General Value Functions. CoRR abs/2402.08126 (2024) - [i31]Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro:
Efficient Contextual Bandits with Uninformed Feedback Graphs. CoRR abs/2402.08127 (2024) - [i30]Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro:
Provably Efficient Interactive-Grounded Learning with Personalized Reward. CoRR abs/2405.20677 (2024) - [i29]Mengxiao Zhang, Ramiro Deo-Campo Vuong, Haipeng Luo:
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization. CoRR abs/2405.20678 (2024) - [i28]Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov:
Balancing Efficiency with Equality: Auction Design with Group Fairness Concerns. CoRR abs/2408.04545 (2024) - [i27]Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov:
Meta-mechanisms for Combinatorial Auctions over Social Networks. CoRR abs/2408.04555 (2024) - [i26]Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Xinru Cheng, Chengnian Sun:
Deep Dive into Probabilistic Delta Debugging: Insights and Simplifications. CoRR abs/2408.04735 (2024) - [i25]Xintong Zhou, Zhenyang Xu, Mengxiao Zhang, Yongqiang Tian, Chengnian Sun:
WDD: Weighted Delta Debugging. CoRR abs/2411.19410 (2024) - 2023
- [j6]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: 198-211 (2023) - [j5]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): 108 (2023) - [j4]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): 636-664 (2023) - [j3]Mengxiao Zhang, Fernando Beltrán, Jiamou Liu:
A Survey of Data Pricing for Data Marketplaces. IEEE Trans. Big Data 9(4): 1038-1056 (2023) - [c24]Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang:
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. AISTATS 2023: 3270-3298 - [c23]Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang:
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. ALT 2023: 1074-1100 - [c22]Yiping Liu, Jiamou Liu, Bakh Khoussainov, Miao Qiao, Bo Yan, Mengxiao Zhang:
Centralization Problem for Opinion Convergence in Decentralized Networks. ASONAM 2023: 658-665 - [c21]Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov:
Differentially Private Diffusion Auction: The Single-unit Case. AAMAS 2023: 2724-2726 - [c20]Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov, Mingyu Xiao:
Multi-Unit Auction over a Social Network. ECAI 2023: 676-683 - [c19]Weidong Li, Mengxiao Zhang, Libo Zhang, Jiamou Liu:
Integrated Private Data Trading Systems for Data Marketplaces. ECAI 2023: 1422-1429 - [c18]Xiaoxuan Li, Lin Ni, Renee Li, Jiamou Liu, Mengxiao Zhang:
MaD: A Dataset for Interview-based BPM in Business Process Management. IJCNN 2023: 1-8 - [c17]Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro:
Practical Contextual Bandits with Feedback Graphs. NeurIPS 2023 - [c16]Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yu Jiang, Chengnian Sun:
PPR: Pairwise Program Reduction. ESEC/SIGSOFT FSE 2023: 338-349 - [c15]Jia Le Tian, Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yiwen Dong, Chengnian Sun:
Ad Hoc Syntax-Guided Program Reduction. ESEC/SIGSOFT FSE 2023: 2137-2141 - [c14]Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov:
Incentivising Diffusion while Preserving Differential Privacy. UAI 2023: 963-972 - [d3]Zhenyang Xu, Yongqiang Tian, Mengxiao Zhang, Gaosen Zhao, Yu Jiang, Chengnian Sun:
Artifact for "Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction". Version 1. Zenodo, 2023 [all versions]
- [d2]Zhenyang Xu, Yongqiang Tian, Mengxiao Zhang, Gaosen Zhao, Yu Jiang, Chengnian Sun:
Artifact for "Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction". Version 2. Zenodo, 2023 [all versions] - [d1]Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yu Jiang, Chengnian Sun:
Artifact for "PPR: Pairwise Program Reduction". Zenodo, 2023 - [i24]Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang:
Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics. CoRR abs/2301.13306 (2023) - [i23]Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov:
Differentially Private Diffusion Auction: The Single-unit Case. CoRR abs/2302.07072 (2023) - [i22]Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov, Mingyu Xiao:
Multi-unit Auction over a Social Network. CoRR abs/2302.08924 (2023) - [i21]Mengxiao Zhang, Fernando Beltrán, Jiamou Liu:
A Survey of Data Pricing for Data Marketplaces. CoRR abs/2303.04810 (2023) - [i20]Weidong Li, Mengxiao Zhang, Libo Zhang, Jiamou Liu:
Integrated Private Data Trading Systems for Data Marketplaces. CoRR abs/2307.16317 (2023) - [i19]Mengxiao Zhang, Haipeng Luo:
Online Learning in Contextual Second-Price Pay-Per-Click Auctions. CoRR abs/2310.05047 (2023) - [i18]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 abs/2312.13064 (2023) - [i17]Gennaro Auricchio, Jie Zhang, Mengxiao Zhang:
Extended Ranking Mechanisms for the m-Capacitated Facility Location Problem in Bayesian Mechanism Design. CoRR abs/2312.16034 (2023) - 2022
- [j2]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): 2028-2039 (2022) - [c13]Haipeng Luo, Mengxiao Zhang, Peng Zhao:
Adaptive Bandit Convex Optimization with Heterogeneous Curvature. COLT 2022: 1576-1612 - [c12]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: 3635-3684 - [c11]Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou:
No-Regret Learning in Time-Varying Zero-Sum Games. ICML 2022: 26772-26808 - [c10]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: 1862-1869 - [c9]Mengxiao Zhang, Fernando Beltrán:
An Experimental Study on Discovering the Value of Private Data in Data Marketplaces. PACIS 2022: 170 - [i16]Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou:
No-Regret Learning in Time-Varying Zero-Sum Games. CoRR abs/2201.12736 (2022) - [i15]Haipeng Luo, Mengxiao Zhang, Peng Zhao:
Adaptive Bandit Convex Optimization with Heterogeneous Curvature. CoRR abs/2202.06150 (2022) - [i14]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 abs/2202.06151 (2022) - [i13]Chaofei Hong, Mengwen Yuan, Mengxiao Zhang, Xiao Wang, Chengjun Zhang, Jiaxin Wang, Gang Pan, Zhaohui Wu, Huajin Tang:
SPAIC: A Spike-based Artificial Intelligence Computing Framework. CoRR abs/2207.12750 (2022) - [i12]Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang:
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. CoRR abs/2210.01376 (2022) - [i11]Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang:
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. CoRR abs/2210.12663 (2022) - 2021
- [c8]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: 4259-4299 - [c7]Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo:
Linear Last-iterate Convergence in Constrained Saddle-point Optimization. ICLR 2021 - [c6]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: 6142-6151 - [i10]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 abs/2102.04540 (2021) - [i9]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 abs/2102.05858 (2021) - 2020
- [c5]Mengxiao Zhang:
Incentive Mechanisms for Data Privacy Preservation and Pricing. AAMAS 2020: 2234-2236 - [c4]Mengxiao Zhang, Fernando Beltrán, Jiamou Liu:
Incentive Mechanism for Social Network Data Pricing under Privacy Preservation. BSCI 2020: 85-95 - [c3]Chung-Wei Lee, Haipeng Luo, Mengxiao Zhang:
A Closer Look at Small-loss Bounds for Bandits with Graph Feedback. COLT 2020: 2516-2564 - [c2]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 - [c1]Mengxiao Zhang, Fernando Beltrán, Jiamou Liu:
Selling Data at an Auction under Privacy Constraints. UAI 2020: 669-678 - [i8]Chung-Wei Lee, Haipeng Luo, Mengxiao Zhang:
A Closer Look at Small-loss Bounds for Bandits with Graph Feedback. CoRR abs/2002.00315 (2020) - [i7]Mengxiao Zhang, Fernando Beltrán, Jiamou Liu:
Selling Data at an Auction under Privacy Constraints. CoRR abs/2005.09248 (2020) - [i6]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 abs/2006.08040 (2020) - [i5]Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang:
Linear Last-iterate Convergence for Matrix Games and Stochastic Games. CoRR abs/2006.09517 (2020) - [i4]Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Liwei Wang:
RANDOM MASK: Towards Robust Convolutional Neural Networks. CoRR abs/2007.14249 (2020) - [i3]Barton P. Miller, Mengxiao Zhang, Elisa R. Heymann:
The Relevance of Classic Fuzz Testing: Have We Solved This One? CoRR abs/2008.06537 (2020)
2010 – 2019
- 2019
- [i2]Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Di He, Liwei Wang:
Defective Convolutional Layers Learn Robust CNNs. CoRR abs/1911.08432 (2019) - 2017
- [j1]Haifei Yu, Mengxiao Zhang:
Data pricing strategy based on data quality. Comput. Ind. Eng. 112: 1-10 (2017) - [i1]Mengxiao Zhang, Wangquan Wu, Yanren Zhang, Kun He, Tao Yu, Huan Long, John E. Hopcroft:
The Local Dimension of Deep Manifold. CoRR abs/1711.01573 (2017)
Coauthor Index
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