Hang Zhang - RankMe

27 papers A* 2A 2B 7Misc 1Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A General Compressive Sensing Construct Using Density Evolution. IEEE Trans. Signal Process. Hang Zhang, Afshin Abdi, Faramarz Fekri
2024	J	`jnl`	LLM-based Weak Supervision Framework for Query Intent Classification in Video Search. CoRR Farnoosh Javadi, Phanideep Gampa, Alyssa Woo, Xingxing Geng, Hang Zhang, Jose Sepulveda, Belhassen Bayar, Fei Wang
2023	—	`conf`	A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed Measurements. Allerton Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri
2023	A	`conf`	Greed is good: correspondence recovery for unlabeled linear regression. UAI Hang Zhang, Ping Li
2023	A	`conf`	Improved Bound on Generalization Error of Compressed KNN Estimator. AISTATS Hang Zhang, Ping Li
2023	A*	`conf`	One-Step Estimator for Permuted Sparse Recovery. ICML Hang Zhang, Ping Li
2023	J	`jnl`	Optimal Estimator for Linear Regression with Shuffled Labels. CoRR Hang Zhang, Ping Li
2023	J	`jnl`	Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators. CoRR Hang Zhang, Ping Li
2023	J	`jnl`	The Phase Transition Phenomenon of Shuffled Regression. CoRR Hang Zhang, Ping Li
2022	J	`jnl`	Design of Compressed Sensing Systems via Density-Evolution Framework for Structure Recovery in Graphical Models. CoRR Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri
2022	J	`jnl`	Structure Learning in Graphical Models from Indirect Observations. CoRR Hang Zhang, Afshin Abdi, Faramarz Fekri
2022	J	`jnl`	The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing From Multiple Measurement Vectors. IEEE Trans. Inf. Theory Hang Zhang, Martin Slawski, Ping Li
2021	B	`conf`	A General Framework for the Design of Compressive Sensing using Density Evolution. ITW Hang Zhang, Afshin Abdi, Faramarz Fekri
2021	B	`conf`	Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators. ISIT Hang Zhang, Ping Li
2020	A*	`conf`	Optimal Estimator for Unlabeled Linear Regression. ICML Hang Zhang, Ping Li
2019	Misc	`conf`	Analysis of Sparse-integer Measurement Matrices in Compressive Sensing. ICASSP Hang Zhang, Afshin Abdi, Faramarz Fekri
2019	B	`conf`	Compressive Sensing with a Multiple Convex Sets Domain. ISIT Hang Zhang, Afshin Abdi, Faramarz Fekri
2019	B	`conf`	Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. ISIT Hang Zhang, Martin Slawski, Ping Li
2019	J	`jnl`	Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. CoRR Hang Zhang, Martin Slawski, Ping Li
2019	—	`conf`	Recovering Noisy-Pseudo-Sparse Signals From Linear Measurements via l∞. Allerton Hang Zhang, Afshin Abdi, Faramarz Fekri
2018	B	`conf`	Sparse Recovery of Sign Vectors under Uncertain Sensing Matrices. ITW Hang Zhang, Afshin Abdi, Faramarz Fekri
2017	B	`conf`	Compressive sensing with energy constraint. ITW Hang Zhang, Afshin Abdi, Faramarz Fekri
2017	B	`conf`	Recovery of sign vectors in quadratic compressed sensing. ITW Hang Zhang, Afshin Abdi, Faramarz Fekri
2016	—	`conf`	Error correction for approximate computing. Allerton Hang Zhang, Afshin Abdi, Faramarz Fekri, Hadi Esmaeilzadeh
2016	J	`jnl`	Interference Improves PHY Security for Cognitive Radio Networks. IEEE Trans. Inf. Forensics Secur. Hang Zhang, Tianyu Wang, Lingyang Song, Zhu Han
2014	—	`conf`	Radio resource allocation for physical-layer security in D2D underlay communications. ICC Hang Zhang, Tianyu Wang, Lingyang Song, Zhu Han
2013	—	`conf`	Turning interference weakness into PHY security enhancement for cognitive radio networks. WCSP Hang Zhang, Tianyu Wang, Lingyang Song, Zhu Han