Kangning Wang

According to our database, Kangning Wang authored at least 41 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Prior-Independent Auctions for Heterogeneous Bidders.

Guru Guruganesh, Aranyak Mehta, Di Wang, Kangning Wang

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Breaking the Metric Voting Distortion Barrier.

Moses Charikar, Kangning Wang, Prasanna Ramakrishnan, Hongxun Wu

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Fair Price Discrimination.

Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

2023

A multimodal approach to estimating vigilance in SSVEP-based BCI.

Kangning Wang, Shuang Qiu, Wei Wei, Yukun Zhang, Shengpei Wang, Huiguang He, Minpeng Xu, Tzyy-Ping Jung, Dong Ming

Expert Syst. Appl., September, 2023

Online renewable smooth quantile regression.

Xiaofei Sun, Hongwei Wang, Chao Cai, Mei Yao, Kangning Wang

Comput. Stat. Data Anal., September, 2023

Distributed statistical optimization for non-randomly stored big data with application to penalized learning.

Kangning Wang, Shaomin Li

Stat. Comput., June, 2023

Smooth quantile regression and distributed inference for non-randomly stored big data.

Kangning Wang, Jiaojiao Jia, Kemal Polat, Xiaofei Sun, Adi Alhudhaif, Fayadh Alenezi

Expert Syst. Appl., April, 2023

A low-overhead in-situ timing-error prediction technique with wide-voltage-range transition-detector for variation-tolerant digital circuits.

Kangning Wang, Huidong Zhao, Jiliang Liu, Jialu Yin, Zhi Li, Shushan Qiao

IEICE Electron. Express, 2023

Optimal Pricing Schemes for an Impatient Buyer.

Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang

Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Regret Minimization with Noisy Observations.

Mohammad Mahdian, Jieming Mao, Kangning Wang

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI.

Kangning Wang, Shuang Qiu, Wei Wei, Ying Gao, Huiguang He, Minpeng Xu, Dong Ming

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Deep Low-Rank Multimodal Fusion with Inter-modal Distribution Difference Constraint for ASD Diagnosis.

Minhao Xue, Li Wang, Jie Shen, Kangning Wang, Wanning Wu, Long Fu

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

Renewable quantile regression for streaming datasets.

Kangning Wang, Hongwei Wang, Shaomin Li

Knowl. Based Syst., 2022

Communication-efficient surrogate quantile regression for non-randomly distributed system.

Kangning Wang, Benle Zhang, Fayadh Alenezi, Shaomin Li

Inf. Sci., 2022

Efficient statistical estimation for a non-randomly distributed system with application to large-scale data neural network.

Kangning Wang, Benle Zhang, Xiaofei Sun, Shaomin Li

Expert Syst. Appl., 2022

Prior-Independent Auctions for Heterogeneous Bidders.

Guru Guruganesh, Aranyak Mehta, Di Wang, Kangning Wang

CoRR, 2022

Auditing for Core Stability in Participatory Budgeting.

Kamesh Munagala, Yiheng Shen, Kangning Wang

Proceedings of the Web and Internet Economics - 18th International Conference, 2022

Approximately efficient bilateral trade.

Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang

Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Approximate Core for Committee Selection via Multilinear Extension and Market Clearing.

Kamesh Munagala, Yiheng Shen, Kangning Wang, Zhiyi Wang

Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

The Limits of an Information Intermediary in Auction Design.

Reza Alijani, Siddhartha Banerjee, Kamesh Munagala, Kangning Wang

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Interactive Communication in Bilateral Trade.

Jieming Mao, Renato Paes Leme, Kangning Wang

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

Crowd Intelligence Driven Design Framework Based on Perception-Retrieval Cognitive Mechanism.

Chen Zheng, Kangning Wang, Tengfei Sun, Jing Bai

Proceedings of the Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies, 2022

2021

A Simple Mechanism for a Budget-Constrained Buyer.

Yu Cheng, Nick Gravin, Kamesh Munagala, Kangning Wang

ACM Trans. Economics and Comput., 2021

Unified distributed robust regression and variable selection framework for massive data.

Kangning Wang

Expert Syst. Appl., 2021

Robust communication-efficient distributed composite quantile regression and variable selection for massive data.

Kangning Wang, Shaomin Li, Benle Zhang

Comput. Stat. Data Anal., 2021

Robust distributed modal regression for massive data.

Kangning Wang, Shaomin Li

Comput. Stat. Data Anal., 2021

Centrality with Diversity.

Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang

Proceedings of the WSDM '21, 2021

Optimal Algorithms for Multiwinner Elections and the Chamberlin-Courant Rule.

Kamesh Munagala, Zeyu Shen, Kangning Wang

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Online Stochastic Matching with Edge Arrivals.

Nick Gravin, Zhihao Gavin Tang, Kangning Wang

Proceedings of the 48th International Colloquium on Automata, Languages, and Programming, 2021

Vigilance Estimating in SSVEP-Based BCI Using Multimodal Signals.

Kangning Wang, Shuang Qiu, Wei Wei, Chuncheng Zhang, Huiguang He, Minpeng Xu, Dong Ming

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Fair for All: Best-effort Fairness Guarantees for Classification.

Anilesh Kollagunta Krishnaswamy, Zhihao Jiang, Kangning Wang, Yu Cheng, Kamesh Munagala

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Group Fairness in Committee Selection.

Yu Cheng, Zhihao Jiang, Kamesh Munagala, Kangning Wang

ACM Trans. Economics and Comput., 2020

Predict and Match: Prophet Inequalities with Uncertain Supply.

Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi, Kamesh Munagala, Kangning Wang

Proc. ACM Meas. Anal. Comput. Syst., 2020

Approximately stable committee selection.

Zhihao Jiang, Kamesh Munagala, Kangning Wang

Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020

2019

Indoor Simulated Training Environment for Brain-Controlled Wheelchair Based on Steady-State Visual Evoked Potentials.

Ming Liu, Kangning Wang, Xiaogang Chen, Jing Zhao, Yuanyuan Chen, Huiquan Wang, Jinhai Wang, Shengpu Xu

Frontiers Neurorobotics, 2019

Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection.

Kangning Wang, Shaomin Li, Xiaofei Sun, Lu Lin

Comput. Stat. Data Anal., 2019

Improved Metric Distortion for Deterministic Social Choice Rules.

Kamesh Munagala, Kangning Wang

Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

2017

k-Regret Minimizing Set: Efficient Algorithms and Hardness.

Wei Cao, Jian Li, Haitao Wang, Kangning Wang, Ruosong Wang, Raymond Chi-Wing Wong, Wei Zhan

Proceedings of the 20th International Conference on Database Theory, 2017

Fast recognition of human climbing fences in transformer substations.

Tianzheng Wang, Kangning Wang, Jie Li, Hua Yu, Wang Shuai, Jiang Bian, Xiaoguang Zhao

Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017

K-Memory Strategies in Repeated Games.

Lijie Chen, Fangzhen Lin, Pingzhong Tang, Kangning Wang, Ruosong Wang, Shiheng Wang

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2002

Mechatronic Experiment via the Internet.

Kok Kiong Tan, Kangning Wang

Proceedings of the International Conference on Computers in Education, 2002