Jiaman Wu

Orcid: 0000-0002-7960-7731

According to our database1, Jiaman Wu authored at least 13 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Learning-Aided Framework for Storage Control Facing Renewable Energy.
IEEE Syst. J., March, 2023

Deadline Differentiated Dynamic EV Charging Price Menu Design.
IEEE Trans. Smart Grid, 2023

BIOCLIP: A Vision Foundation Model for the Tree of Life.
CoRR, 2023

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
A Data-Driven Storage Control Framework for Dynamic Pricing.
IEEE Trans. Smart Grid, 2021

Mobility Data-driven Complete Dispatch Framework for the Ride-hailing Platform.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

Efficiency or Fairness?: Carpooling Design for Online Ride-hailing Platform in Transport Hubs at Midnight.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Sensei: Self-Supervised Sensor Name Segmentation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
On the Double Auction Mechanism Design for Electricity Market.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

SeNsER: Learning Cross-Building Sensor Metadata Tagger.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Optimal Storage Control for Dynamic Pricing.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

2019
RoNGBa: A Robustly Optimized Natural Gradient Boosting Training Approach with Leaf Number Clipping.
CoRR, 2019


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