RoNGBa: A Robustly Optimized Natural Gradient Boosting Training Approach with Leaf Number Clipping. - Liliang Ren; Gen Sun; Jiaman Wu (CoRR, 2019)

Optimal Storage Control for Dynamic Pricing. - Jiaman Wu; Zhiqi Wang; Yang Yu 011; Chenye Wu (e-Energy, 2020)

SeNsER: Learning Cross-Building Sensor Metadata Tagger. - Yang Jiao; Jiacheng Li 003; Jiaman Wu; Dezhi Hong; Rajesh Gupta 001; Jingbo Shang (EMNLP (Findings), 2020)

On the Double Auction Mechanism Design for Electricity Market. - Jiaman Wu; Chenye Wu (SmartGridComm, 2020)

Sensei: Self-Supervised Sensor Name Segmentation. - Jiaman Wu; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (ACL/IJCNLP (Findings), 2021)

Efficiency or Fairness?: Carpooling Design for Online Ride-hailing Platform in Transport Hubs at Midnight. - Chenbei Lu; Jiaman Wu; Chenye Wu; Yongli Qin; Qun (Tracy) Li; Nan Ma (SIGSPATIAL/GIS, 2021)

Mobility Data-driven Complete Dispatch Framework for the Ride-hailing Platform. - Jiaman Wu; Chenbei Lu; Chenye Wu; Yongli Qin; Qun (Tracy) Li; Nan Ma; Jun Fang (UbiComp/ISWC Adjunct, 2021)

A Data-Driven Storage Control Framework for Dynamic Pricing. - Jiaman Wu; Zhiqi Wang; Chenye Wu; Kui Wang; Yang Yu 011 (IEEE Trans. Smart Grid, 2021)

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots. - Sai Zhang; Yuwei Hu; Yuchuan Wu; Jiaman Wu; Yongbin Li; Jian Sun 021; Caixia Yuan; Xiaojie Wang 006 (ACL (Findings), 2022)

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models. - Chan Hee Song; Brian M. Sadler; Jiaman Wu; Wei-Lun Chao; Clayton Washington; Yu Su 001 (ICCV, 2023)

Deadline Differentiated Dynamic EV Charging Price Menu Design. - Chenbei Lu; Jiaman Wu; Jingshi Cui; Yanyan Xu 002; Chenye Wu; Marta C. González (IEEE Trans. Smart Grid, 2023)

Learning-Aided Framework for Storage Control Facing Renewable Energy. - Jiaman Wu; Chenbei Lu; Chenye Wu (IEEE Syst. J., 2023)

BioCLIP: A Vision Foundation Model for the Tree of Life. - Samuel Stevens 001; Jiaman Wu; Matthew J. Thompson; Elizabeth G. Campolongo; Chan Hee Song; David Edward Carlyn; Li Dong; Wasila M. Dahdul; Charles V. Stewart; Tanya Y. Berger-Wolf; Wei-Lun Chao; Yu Su 001 (CVPR, 2024)

Imitate the Right Data: City-wide Mobility Generation with Graph Learning. - Jiaman Wu; Shangqing Cao; Giuseppe Perona; Marta C. González (SIGSPATIAL/GIS, 2024)

Building Machine Learning Challenges for Anomaly Detection in Science. - Elizabeth G. Campolongo; Yuan-Tang Chou; Ekaterina Govorkova; Wahid Bhimji; Wei-Lun Chao; Chris Harris; Shih-Chieh Hsu; Hilmar Lapp; Mark S. Neubauer; Josephine M. Namayanja; Aneesh Subramanian; Philip C. Harris; et al. (CoRR, 2025)

Trajectory-Integrated Accessibility Analysis of Public Electric Vehicle Charging Stations. - Yi Ju; Jiaman Wu; Zhihan Su; Lunlong Li; Jinhua Zhao; Marta C. González; Scott J. Moura (CoRR, 2025)

BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning. - Jianyang Gu; Samuel Stevens 001; Elizabeth G. Campolongo; Matthew J. Thompson; Net Zhang; Jiaman Wu; Andrei Kopanev; Zheda Mai; Alexander E. White; James P. Balhoff; Wasila M. Dahdul; Daniel I. Rubenstein; et al. (CoRR, 2025)

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge. - Boyu Gou; Zanming Huang; Yuting Ning; Yu Gu 016; Michael Lin; Weijian Qi; Andrei Kopanev; Botao Yu; Bernal Jiménez Gutiérrez; Yiheng Shu; Chan Hee Song; Jiaman Wu; et al. (CoRR, 2025)