Search Results for author: Jiaman Wu

Found 8 papers, 4 papers with code

BioCLIP: A Vision Foundation Model for the Tree of Life

1 code implementation30 Nov 2023 Samuel Stevens, Jiaman Wu, Matthew J Thompson, Elizabeth G Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, Yu Su

We then develop BioCLIP, a foundation model for the tree of life, leveraging the unique properties of biology captured by TreeOfLife-10M, namely the abundance and variety of images of plants, animals, and fungi, together with the availability of rich structured biological knowledge.

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

no code implementations ICCV 2023 Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, Yu Su

In this work, we propose a novel method, LLM-Planner, that harnesses the power of large language models to do few-shot planning for embodied agents.

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots

1 code implementation Findings (ACL) 2022 Sai Zhang, Yuwei Hu, Yuchuan Wu, Jiaman Wu, Yongbin Li, Jian Sun, Caixia Yuan, Xiaojie Wang

We find some new linguistic phenomena and interactive manners in SSTOD which raise critical challenges of building dialog agents for the task.

 Ranked #1 on SSTOD on SSD_NAME

SSTOD

Sensei: Self-Supervised Sensor Name Segmentation

1 code implementation Findings (ACL) 2021 Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang

A sensor name, typically an alphanumeric string, encodes the key context (e. g., function and location) of a sensor needed for deploying smart building applications.

Language Modelling Segmentation

SeNsER: Learning Cross-Building Sensor Metadata Tagger

1 code implementation Findings of the Association for Computational Linguistics 2020 Yang Jiao, Jiacheng Li, Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang

Sensor metadata tagging, akin to the named entity recognition task, provides key contextual information (e. g., measurement type and location) about sensors for running smart building applications.

named-entity-recognition Named Entity Recognition +1

RoNGBa: A Robustly Optimized Natural Gradient Boosting Training Approach with Leaf Number Clipping

no code implementations5 Dec 2019 Liliang Ren, Gen Sun, Jiaman Wu

Natural gradient has been recently introduced to the field of boosting to enable the generic probabilistic predication capability.

A Data-driven Storage Control Framework for Dynamic Pricing

no code implementations1 Dec 2019 Jiaman Wu, Zhiqi Wang, Chenye Wu, Kui Wang, Yang Yu

Dynamic pricing is both an opportunity and a challenge to the demand side.

Optimal Storage Control for Dynamic Pricing

no code implementations16 Nov 2019 Jiaman Wu, Zhiqi Wang, Yang Yu, Chenye Wu

Renewable energy brings huge uncertainties to the power system, which challenges the traditional power system operation with limited flexible resources.

Systems and Control Systems and Control Optimization and Control

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