Kangning Wang

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 65

Top Topics

Noisy Observations

Quantile Regression

Statistical Estimation

Top Venues

Expert Syst. Appl.

Publications

Moses Charikar, Kangning Wang, Prasanna Ramakrishnan, Hongxun Wu
Breaking the Metric Voting Distortion Barrier. SODA (2024)
Ji-liang Liu, Kangning Wang, Jia-lu Yin, Xue-long Zhao, Zhi Li, Hui-dong Zhao, Shushan Qiao
A dynamic voltage scaling circuit design based on critical path replica and time warning techniques. IEICE Electron. Express 21 (2) (2024)
Kangning Wang, Junning Yang, Kemal Polat, Adi Alhudhaif, Xiaofei Sun
Convolution smoothing and non-convex regularization for support vector machine in high dimensions. Appl. Soft Comput. 155 (2024)
Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang
Fair Price Discrimination. SODA (2024)
Shaomin Li, Xiaofei Sun, Kangning Wang
Distributed statistical learning algorithm for nonlinear regression with autoregressive errors. Pattern Recognit. 153 (2024)
Guru Guruganesh, Aranyak Mehta, Di Wang, Kangning Wang
Prior-Independent Auctions for Heterogeneous Bidders. SODA (2024)
Minhao Xue, Li Wang, Jie Shen, Kangning Wang, Wanning Wu, Long Fu
Deep Low-Rank Multimodal Fusion with Inter-modal Distribution Difference Constraint for ASD Diagnosis. ICIG (5) (2023)
Xiaofei Sun, Hongwei Wang, Chao Cai, Mei Yao, Kangning Wang
Online renewable smooth quantile regression. Comput. Stat. Data Anal. 185 (2023)
Kangning Wang, Shaomin Li
Distributed statistical optimization for non-randomly stored big data with application to penalized learning. Stat. Comput. 33 (3) (2023)
Moses Charikar, Prasanna Ramakrishnan, Kangning Wang, Hongxun Wu
Breaking the Metric Voting Distortion Barrier. CoRR (2023)
Kangning Wang, Shuang Qiu, Wei Wei, Yukun Zhang, Shengpei Wang, Huiguang He, Minpeng Xu, Tzyy-Ping Jung, Dong Ming
A multimodal approach to estimating vigilance in SSVEP-based BCI. Expert Syst. Appl. 225 (2023)
Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang
Fair Price Discrimination. CoRR (2023)
Mohammad Mahdian, Jieming Mao, Kangning Wang
Regret Minimization with Noisy Observations. EC (2023)
Kangning Wang, Jiaojiao Jia, Kemal Polat, Xiaofei Sun, Adi Alhudhaif, Fayadh Alenezi
Smooth quantile regression and distributed inference for non-randomly stored big data. Expert Syst. Appl. 215 (2023)
Kangning Wang, Huidong Zhao, Jiliang Liu, Jialu Yin, Zhi Li, Shushan Qiao
A low-overhead in-situ timing-error prediction technique with wide-voltage-range transition-detector for variation-tolerant digital circuits. IEICE Electron. Express 20 (11) (2023)
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang
Optimal Pricing Schemes for an Impatient Buyer. SODA (2023)
Kangning Wang, Shuang Qiu, Wei Wei, Ying Gao, Huiguang He, Minpeng Xu, Dong Ming
A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI. ICONIP (3) (2023)
Kangning Wang, Benle Zhang, Xiaofei Sun, Shaomin Li
Efficient statistical estimation for a non-randomly distributed system with application to large-scale data neural network. Expert Syst. Appl. 197 (2022)
Kangning Wang, Benle Zhang, Fayadh Alenezi, Shaomin Li
Communication-efficient surrogate quantile regression for non-randomly distributed system. Inf. Sci. 588 (2022)
Kamesh Munagala, Yiheng Shen, Kangning Wang
Auditing for Core Stability in Participatory Budgeting. CoRR (2022)
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang
Approximately efficient bilateral trade. STOC (2022)
Kamesh Munagala, Yiheng Shen, Kangning Wang
Auditing for Core Stability in Participatory Budgeting. WINE (2022)
Guru Guruganesh, Aranyak Mehta, Di Wang, Kangning Wang
Prior-Independent Auctions for Heterogeneous Bidders. CoRR (2022)
Kamesh Munagala, Yiheng Shen, Kangning Wang, Zhiyi Wang
Approximate Core for Committee Selection via Multilinear Extension and Market Clearing. SODA (2022)
Kangning Wang, Hongwei Wang, Shaomin Li
Renewable quantile regression for streaming datasets. Knowl. Based Syst. 235 (2022)
Jieming Mao, Renato Paes Leme, Kangning Wang
Interactive Communication in Bilateral Trade. ITCS (2022)
Mohammad Mahdian, Jieming Mao, Kangning Wang
Regret Minimization with Noisy Observations. CoRR (2022)
Chen Zheng, Kangning Wang, Tengfei Sun, Jing Bai
Crowd Intelligence Driven Design Framework Based on Perception-Retrieval Cognitive Mechanism. PLM (2022)
Reza Alijani, Siddhartha Banerjee, Kamesh Munagala, Kangning Wang
The Limits of an Information Intermediary in Auction Design. EC (2022)
Kamesh Munagala, Zeyu Shen, Kangning Wang
Optimal Algorithms for Multiwinner Elections and the Chamberlin-Courant Rule. CoRR (2021)
Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang
Centrality with Diversity. WSDM (2021)
Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang
Centrality with Diversity. CoRR (2021)
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang
Approximately Efficient Bilateral Trade. CoRR (2021)
Kamesh Munagala, Zeyu Shen, Kangning Wang
Optimal Algorithms for Multiwinner Elections and the Chamberlin-Courant Rule. EC (2021)
Kangning Wang
Unified distributed robust regression and variable selection framework for massive data. Expert Syst. Appl. 186 (2021)
Yu Cheng, Nick Gravin, Kamesh Munagala, Kangning Wang
A Simple Mechanism for a Budget-Constrained Buyer. ACM Trans. Economics and Comput. 9 (2) (2021)
Kangning Wang, Shaomin Li
Robust distributed modal regression for massive data. Comput. Stat. Data Anal. 160 (2021)
Kangning Wang, Shuang Qiu, Wei Wei, Chuncheng Zhang, Huiguang He, Minpeng Xu, Dong Ming
Vigilance Estimating in SSVEP-Based BCI Using Multimodal Signals. EMBC (2021)
Kangning Wang
An Ω(log n) Lower Bound for Online Matching on the Line. CoRR (2021)
Jieming Mao, Renato Paes Leme, Kangning Wang
Interactive Communication in Bilateral Trade. CoRR (2021)
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang
Optimal Pricing Schemes for an Impatient Buyer. CoRR (2021)
Kamesh Munagala, Yiheng Shen, Kangning Wang, Zhiyi Wang
Approximate Core for Committee Selection via Multilinear Extension and Market Clearing. CoRR (2021)
Nick Gravin, Zhihao Gavin Tang, Kangning Wang
Online Stochastic Matching with Edge Arrivals. ICALP (2021)
Kangning Wang, Shaomin Li, Benle Zhang
Robust communication-efficient distributed composite quantile regression and variable selection for massive data. Comput. Stat. Data Anal. 161 (2021)
Anilesh Kollagunta Krishnaswamy, Zhihao Jiang, Kangning Wang, Yu Cheng, Kamesh Munagala
Fair for All: Best-effort Fairness Guarantees for Classification. AISTATS (2021)
Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi, Kamesh Munagala, Kangning Wang
Predict and Match: Prophet Inequalities with Uncertain Supply. SIGMETRICS (Abstracts) (2020)
Reza Alijani, Siddhartha Banerjee, Kamesh Munagala, Kangning Wang
The Limits of an Information Intermediary in Auction Design. CoRR (2020)
Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi, Kamesh Munagala, Kangning Wang
Predict and Match: Prophet Inequalities with Uncertain Supply. Proc. ACM Meas. Anal. Comput. Syst. 4 (1) (2020)
Yu Cheng, Zhihao Jiang, Kamesh Munagala, Kangning Wang
Group Fairness in Committee Selection. ACM Trans. Economics and Comput. 8 (4) (2020)
Zhihao Jiang, Kamesh Munagala, Kangning Wang
Approximately stable committee selection. STOC (2020)
Anilesh K. Krishnaswamy, Zhihao Jiang, Kangning Wang, Yu Cheng, Kamesh Munagala
Fair for All: Best-effort Fairness Guarantees for Classification. CoRR (2020)
Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi, Kamesh Munagala, Kangning Wang
Predict and Match: Prophet Inequalities with Uncertain Supply. CoRR (2020)
Yu Cheng, Zhihao Jiang, Kamesh Munagala, Kangning Wang
Group Fairness in Committee Selection. EC (2019)
Zhihao Jiang, Kamesh Munagala, Kangning Wang
Approximately Stable Committee Selection. CoRR (2019)
Ming Liu, Kangning Wang, Xiaogang Chen, Jing Zhao, Yuanyuan Chen, Huiquan Wang, Jinhai Wang, Shengpu Xu
Indoor Simulated Training Environment for Brain-Controlled Wheelchair Based on Steady-State Visual Evoked Potentials. Frontiers Neurorobotics 13 (2019)
Kamesh Munagala, Kangning Wang
Improved Metric Distortion for Deterministic Social Choice Rules. EC (2019)
Yu Cheng, Zhihao Jiang, Kamesh Munagala, Kangning Wang
Group Fairness in Committee Selection. CoRR (2019)
Kangning Wang, Shaomin Li, Xiaofei Sun, Lu Lin
Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection. Comput. Stat. Data Anal. 133 (2019)
Kamesh Munagala, Kangning Wang
Improved Metric Distortion for Deterministic Social Choice Rules. CoRR (2019)
Nick Gravin, Zhihao Gavin Tang, Kangning Wang
Online Stochastic Matching with Edge Arrivals. CoRR (2019)
Yu Cheng, Nick Gravin, Kamesh Munagala, Kangning Wang
A Simple Mechanism for a Budget-Constrained Buyer. CoRR (2018)
Yu Cheng, Nick Gravin, Kamesh Munagala, Kangning Wang
A Simple Mechanism for a Budget-Constrained Buyer. WINE (2018)
Tianzheng Wang, Kangning Wang, Jie Li, Hua Yu, Wang Shuai, Jiang Bian, Xiaoguang Zhao
Fast recognition of human climbing fences in transformer substations. ICACI (2017)
Lijie Chen, Fangzhen Lin, Pingzhong Tang, Kangning Wang, Ruosong Wang, Shiheng Wang
K-Memory Strategies in Repeated Games. AAMAS (2017)
Wei Cao, Jian Li, Haitao Wang, Kangning Wang, Ruosong Wang, Raymond Chi-Wing Wong, Wei Zhan
k-Regret Minimizing Set: Efficient Algorithms and Hardness. ICDT (2017)
Kok Kiong Tan, Kangning Wang
Mechatronic Experiment via the Internet. ICCE (2002)