Kang Yang

Orcid: 0000-0001-8248-4894

Affiliations:
  • University of California, Los Angeles, CA, USA
  • University of California, Merced, CA, USA (PhD 2024)


According to our database1, Kang Yang authored at least 19 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges.
CoRR, May, 2025

FLog: Automated Modeling of Link Quality for LoRa Networks in Orchards.
ACM Trans. Sens. Networks, March, 2025

ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources.
CoRR, February, 2025

GWRF: A Generalizable Wireless Radiance Field for Wireless Signal Propagation Modeling.
CoRR, February, 2025

Scalable 3D Gaussian Splatting-Based RF Signal Spatial Propagation Modeling.
CoRR, February, 2025

Poster Abstract: Scalable 3D Gaussian Splatting-Based RF Signal Spatial Propagation Modeling.
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

Demo Abstract: Comprehensive Wireless Soil Component Sensing via VNIR and LoRa.
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

2024
DMM: A Deep Reinforcement Learning Based Map Matching Framework for Cellular Data.
IEEE Trans. Knowl. Data Eng., October, 2024

RALoRa: Rateless-Enabled Link Adaptation for LoRa Networking.
IEEE/ACM Trans. Netw., August, 2024

A Low-Density Parity-Check Coding Scheme for LoRa Networking.
ACM Trans. Sens. Networks, July, 2024

See Behind Walls in Real-time Using Aerial Drones and Augmented Reality.
CoRR, 2024

OrchLoc: In-Orchard Localization via a Single LoRa Gateway and Generative Diffusion Model-based Fingerprinting.
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
<i>ATPP</i>: A Mobile App Prediction System Based on Deep Marked Temporal Point Processes.
ACM Trans. Sens. Networks, August, 2023

Driving Maneuver Anomaly Detection Based on Deep Auto-Encoder and Geographical Partitioning.
ACM Trans. Sens. Networks, May, 2023

DeepAPP: A Deep Reinforcement Learning Framework for Mobile Application Usage Prediction.
IEEE Trans. Mob. Comput., 2023

Link Quality Modeling for LoRa Networks in Orchards.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

2022
LLDPC: A Low-Density Parity-Check Coding Scheme for LoRa Networks.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

2021
ATPP: A Mobile App Prediction System Based on Deep Marked Temporal Point Processes.
Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021


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