activity
20102017
most citedAdaptive recurrence quantum entanglement distillation for two-Kraus-operator channels

42 citations · 52 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2017★ 42 cited

Adaptive recurrence quantum entanglement distillation for two-Kraus-operator channels

Liangzhong Ruan, Wenhan Dai, Moe Z. Win

Quantum entanglement serves as a valuable resource for many important quantum operations. A pair of entangled qubits can be shared between two agents by first preparing a maximally…

cs.NI2015★ 3 cited

Indoor Localization Algorithm For Smartphones

Kaiqing Zhang, Hong Hu, Wenhan Dai +2

Increasing sources of sensor measurements and prior knowledge have become available for indoor localization on smartphones. How to effectively utilize these sources for enhancing l…

cs.IT2013★ 1 cited

Power Optimization for Network Localization

Yuan Shen, Wenhan Dai, Moe Z. Win

Reliable and accurate localization of mobile objects is essential for many applications in wireless networks. In range-based localization, the position of the object can be inferre…

cs.LG2011★ 1 cited

Efficient Online Learning for Opportunistic Spectrum Access

Wenhan Dai, Yi Gai, Bhaskar Krishnamachari

The problem of opportunistic spectrum access in cognitive radio networks has been recently formulated as a non-Bayesian restless multi-armed bandit problem. In this problem, there…

math.OC2011★ 1 cited

The Non-Bayesian Restless Multi-Armed Bandit: A Case of Near-Logarithmic Strict Regret

Wenhan Dai, Yi Gai, Bhaskar Krishnamachari +1

In the classic Bayesian restless multi-armed bandit (RMAB) problem, there are arms, with rewards on all arms evolving at each time as Markov chains with known parameters. A pla…

math.OC2010★ 4 cited

The Non-Bayesian Restless Multi-Armed Bandit: a Case of Near-Logarithmic Regret

Wenhan Dai, Yi Gai, Bhaskar Krishnamachari +1

In the classic Bayesian restless multi-armed bandit (RMAB) problem, there are arms, with rewards on all arms evolving at each time as Markov chains with known parameters. A pla…