Kang Yang
Orcid: 0000-0001-8248-4894Affiliations:
- University of California, Los Angeles, CA, USA
- University of California, Merced, CA, USA (PhD 2024)
According to our database1,
Kang Yang authored at least 28 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2026
TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering.
CoRR, May, 2026
RxGS: Receiver-Generalizable 3D Gaussian Splatting for Radio-Frequency Data Synthesis.
CoRR, May, 2026
FM-CAC: Carbon-Aware Control for Battery-Buffered Edge AI via Time-Series Foundation Models.
CoRR, April, 2026
SoilX: Calibration-Free Comprehensive Soil Sensing through Contrastive Cross-Component Learning.
Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems, 2026
CarbonX: An Open-Source Tool for Computational Decarbonization Using Time Series Foundation Models.
Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems, 2026
2025
Generative Diffusion Model-Assisted Efficient Fingerprinting for In-Orchard Localization.
IEEE Trans. Mob. Comput., December, 2025
UniFi: Combining Irregularly Sampled CSI from Diverse Communication Packets and Frequency Bands for Wi-Fi Sensing.
CoRR, December, 2025
Spectral Predictability as a Fast Reliability Indicator for Time Series Forecasting Model Selection.
CoRR, November, 2025
Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges.
CoRR, May, 2025
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
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
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025
Scalable and Adaptive RF Signal Propagation Modeling for Next-Generation Wireless Systems.
Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025
2024
IEEE Trans. Knowl. Data Eng., October, 2024
IEEE/ACM Trans. Netw., August, 2024
ACM Trans. Sens. Networks, July, 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
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
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023
2022
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
2021
Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021
2019
DeepAPP: a deep reinforcement learning framework for mobile application usage prediction.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019