Jifan Zhang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Active Learning

Imbalanced Datasets

Top Venues

Ann. Oper. Res.

Publications

Jifan Zhang, Salih Tutun, Samira Fazel Anvaryazdi, Mohammadhossein Amini, Durai Sundaramoorthi, Hema Sundaramoorthi
Management of resource sharing in emergency response using data-driven analytics. Ann. Oper. Res. 339 (1-2) (2024)
Nasim Soltani, Jifan Zhang, Batool Salehi, Debashri Roy, Robert D. Nowak, Kaushik R. Chowdhury
Learning from the Best: Active Learning for Wireless Communications. CoRR (2024)
Jifan Zhang, Lalit Jain, Yang Guo, Jiayi Chen, Kuan Lok Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy T. Rogers, Kevin Jamieson, Robert Mankoff, Robert Nowak
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning. CoRR (2024)
Nasim Soltani, Jifan Zhang, Batool Salehi, Debashri Roy, Robert D. Nowak, Kaushik R. Chowdhury
Learning from the Best: Active Learning for Wireless Communications. IEEE Wirel. Commun. 31 (4) (2024)
Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR (2024)
Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) (2024)
Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin G. Jamieson, Robert D. Nowak
LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. CoRR (2023)
Jifan Zhang, Zhe Wu, Xinfeng Zhang, Guoli Song, Yaowei Wang, Jie Chen
Recurrent Fine-Grained Self-Attention Network for Video Crowd Counting. ICASSP (2023)
Jifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak
Algorithm Selection for Deep Active Learning with Imbalanced Datasets. CoRR (2023)
Shyam Nuggehalli, Jifan Zhang, Lalit Jain, Robert D. Nowak
DIRECT: Deep Active Learning under Imbalance and Label Noise. CoRR (2023)
Jifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak
Algorithm Selection for Deep Active Learning with Imbalanced Datasets. NeurIPS (2023)
Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak
GALAXY: Graph-based Active Learning at the Extreme. CoRR (2022)
Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak
GALAXY: Graph-based Active Learning at the Extreme. ICML (2022)
Liu Yang, Jifan Zhang, Joseph Shenouda, Dimitris S. Papailiopoulos, Kangwook Lee, Robert D. Nowak
A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets. CoRR (2022)
Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson
Improved Algorithms for Agnostic Pool-based Active Classification. ICML (2021)
Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson
Improved Algorithms for Agnostic Pool-based Active Classification. CoRR (2021)
Jifan Zhang, Kevin Jamieson
Learning to Actively Learn: A Robust Approach. CoRR (2020)