42 citations · 63 across the 7 of their papers we have counts for
7 papers
Efficient Transceiver Design for Aerial Image Transmission and Large-scale Scene Reconstruction
Zeyi Ren, Jialin Dong, Wei Zuo +4
Large-scale three-dimensional (3D) scene reconstruction in low-altitude intelligent networks (LAIN) demands highly efficient wireless image transmission. However, existing schemes…
Does Sparsity Help in Learning Misspecified Linear Bandits?
Jialin Dong, Lin F. Yang
Recently, the study of linear misspecified bandits has generated intriguing implications of the hardness of learning in bandits and reinforcement learning (RL). In particular, Du e…
Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs
Jialin Dong, Da Zheng, Lin F. Yang +1
Graph neural networks (GNNs) are powerful tools for learning from graph data and are widely used in various applications such as social network recommendation, fraud detection, and…
Faster Activity and Data Detection in Massive Random Access: A Multi-armed Bandit Approach
Jialin Dong, Jun Zhang, Yuanming Shi +1
This paper investigates the grant-free random access with massive IoT devices. By embedding the data symbols in the signature sequences, joint device activity detection and data de…
Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow
Jialin Dong, Yuanming Shi, Zhi Ding
Over-the-air computation (AirComp) shows great promise to support fast data fusion in Internet-of-Things (IoT) networks. AirComp typically computes desired functions of distributed…
Nonconvex Demixing From Bilinear Measurements
Jialin Dong, Yuanming Shi
We consider the problem of demixing a sequence of source signals from the sum of noisy bilinear measurements. It is a generalized mathematical model for blind demixing with blind d…
Blind Demixing for Low-Latency Communication
Jialin Dong, Kai Yang, Yuanming Shi
In the next generation wireless networks, lowlatency communication is critical to support emerging diversified applications, e.g., Tactile Internet and Virtual Reality. In this pap…