Learning to Actively Learn: A Robust Approach. - Jifan Zhang; Kevin Jamieson 001 (CoRR, 2020)

Improved Algorithms for Agnostic Pool-based Active Classification. - Julian Katz-Samuels; Jifan Zhang; Lalit Jain; Kevin Jamieson 001 (ICML, 2021)

GALAXY: Graph-based Active Learning at the Extreme. - Jifan Zhang; Julian Katz-Samuels; Robert D. Nowak (ICML, 2022)

A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets. - Liu Yang 001; Jifan Zhang; Joseph Shenouda; Dimitris S. Papailiopoulos; Kangwook Lee 001; Robert D. Nowak (CoRR, 2022)

Recurrent Fine-Grained Self-Attention Network for Video Crowd Counting. - Jifan Zhang; Zhe Wu 006; Xinfeng Zhang 001; Guoli Song; Yaowei Wang 001; Jie Chen 001 (ICASSP, 2023)

Algorithm Selection for Deep Active Learning with Imbalanced Datasets. - Jifan Zhang; Shuai Shao; Saurabh Verma; Robert D. Nowak (NeurIPS, 2023)

LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. - Jifan Zhang; Yifang Chen 001; Gregory Canal; Stephen Mussmann; Yinglun Zhu; Simon Shaolei Du; Kevin G. Jamieson; Robert D. Nowak (CoRR, 2023)

DIRECT: Deep Active Learning under Imbalance and Label Noise. - Shyam Nuggehalli; Jifan Zhang; Lalit Jain; Robert D. Nowak (CoRR, 2023)

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. - Gantavya Bhatt; Yifang Chen 001; 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 (ACL (Findings), 2024)

AHA: Human-Assisted Out-of-Distribution Generalization and Detection. - Haoyue Bai 001; Jifan Zhang; Robert D. Nowak (NeurIPS, 2024)

Harnessing Multiple Correlated Networks for Exact Community Recovery. - Miklós Z. Rácz; Jifan Zhang (NeurIPS, 2024)

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning. - Jifan Zhang; Lalit Jain; Yang Guo; Jiayi Chen; Kuan Lok Zhou; Siddharth Suresh; Andrew Wagenmaker; Scott Sievert; Timothy T. Rogers; Kevin G. Jamieson; Bob Mankoff; Robert Nowak 001 (NeurIPS, 2024)

SIEVE: General Purpose Data Filtering System Matching GPT-4o Accuracy at 1% the Cost. - Jifan Zhang; Robert D. Nowak (CoRR, 2024)

Management of resource sharing in emergency response using data-driven analytics. - Jifan Zhang; Salih Tutun; Samira Fazel Anvaryazdi; Mohammadhossein Amini; Durai Sundaramoorthi; Hema Sundaramoorthi (Ann. Oper. Res., 2024)

Learning from the Best: Active Learning for Wireless Communications. - Nasim Soltani; Jifan Zhang; Batool Salehi; Debashri Roy; Robert D. Nowak; Kaushik R. Chowdhury (IEEE Wirel. Commun., 2024)

From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling. - Jinhong Lin; Cheng-En Wu; Huanran Li; Jifan Zhang; Yu Hen Hu; Pedro Morgado 001 (CVPR, 2025)

Deep Active Learning in the Open World. - Tian Xie; Jifan Zhang; Haoyue Bai 001; Robert D. Nowak (Trans. Mach. Learn. Res., 2025)

Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs. - Kuan Lok Zhou; Jiayi Chen; Siddharth Suresh; Reuben Narad; Timothy T. Rogers; Lalit Jain; Robert D. Nowak; Bob Mankoff; Jifan Zhang (CoRR, 2025)

Topology-Aware Conformal Prediction for Stream Networks. - Jifan Zhang; Fangxin Wang 003; Philip S. Yu; Kaize Ding; Shixiang Zhu (CoRR, 2025)

Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench. - Reuben Narad; Siddharth Suresh; Jiayi Chen; Pine S. L. Dysart-Bricken; Bob Mankoff; Rob Nowak 001; Jifan Zhang; Lalit Jain (CoRR, 2025)

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs. - Abhinav Arabelly; Jagrut Nemade; Robert D. Nowak; Jifan Zhang (CoRR, 2025)