Jifan Zhang

According to our database, Jifan Zhang authored at least 29 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

LoViF 2026 The First Challenge on Weather Removal in Videos.

Chenghao Qian, Xin Li, Yeying Jin, Shangguan Sun, Yilian Zhong, Yuxiang Chen, Shibo Yin, Yushun Fang, Xilei Zhu, Yahui Wang, Chen Lu, Ying Fu, Jianan Tian, Jifan Zhang, Chen Zhou, Junyang Jiang, Yuping Sun, Zhuohang Shi, Xiaojing Liu, Jiao Liu, Yatong Zhou, Shuai Liu, Qiang Deng, Jiajia Mi, Qianhao Luo, Weiling Li

CoRR, April, 2026

Leum-VL Technical Report.

Yuxuan He, Chaiming Huang, Yifan Wu, Hongjun Wang, Chenkui Shen, Jifan Zhang, Long Li

CoRR, March, 2026

Unknown Aware AI-Generated Content Attribution.

Ellie Thieu, Jifan Zhang, Haoyue Bai

CoRR, January, 2026

2025

Stress-Testing Model Specs Reveals Character Differences among Language Models.

Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, Esin Durmus

CoRR, October, 2025

Interpretable deep fuzzy network-aided detection of central lymph node metastasis status in papillary thyroid carcinoma.

Wenxu Wang, Zhenyuan Ning, Jifan Zhang, Yu Zhang, Weizhen Wang

Int. J. Comput. Assist. Radiol. Surg., October, 2025

Causal representation learning from network data.

Jifan Zhang, Michelle M. Li, Elena Zheleva

CoRR, September, 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, Jifan Zhang, Lalit K. Jain

CoRR, July, 2025

Topology-Aware Conformal Prediction for Stream Networks.

Jifan Zhang, Fangxin Wang, Philip S. Yu, Kaize Ding, Shixiang Zhu

CoRR, March, 2025

Deep Active Learning in the Open World.

Tian Xie, Jifan Zhang, Haoyue Bai, Robert D. Nowak

Trans. Mach. Learn. Res., 2025

Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation.

Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak

Proceedings of the Forty-second International Conference on Machine Learning, 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 K. Jain, Robert D. Nowak, Bob Mankoff, Jifan Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs.

Abhinav Arabelly, Jagrut Nemade, Robert D. Nowak, Jifan Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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., August, 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., August, 2024

LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning.

Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak

J. Data-centric Mach. Learn. Res., 2024

SIEVE: General Purpose Data Filtering System Matching GPT-4o Accuracy at 1% the Cost.

Jifan Zhang, Robert D. Nowak

CoRR, 2024

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning.

Jifan Zhang, Lalit K. Jain, Yang Guo, Jiayi Chen, Kuan Lok Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy T. Rogers, Kevin Jamieson, Bob Mankoff, Robert Nowak

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Harnessing Multiple Correlated Networks for Exact Community Recovery.

Miklós Z. Rácz, Jifan Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AHA: Human-Assisted Out-of-Distribution Generalization and Detection.

Haoyue Bai, Jifan Zhang, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.

Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

DIRECT: Deep Active Learning under Imbalance and Label Noise.

Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak

CoRR, 2023

LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning.

Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak

CoRR, 2023

Algorithm Selection for Deep Active Learning with Imbalanced Datasets.

Jifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Recurrent Fine-Grained Self-Attention Network for Video Crowd Counting.

Jifan Zhang, Zhe Wu, Xinfeng Zhang, Guoli Song, Yaowei Wang, Jie Chen

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets.

Liu Yang, Jifan Zhang, Joseph Shenouda, Dimitris S. Papailiopoulos, Kangwook Lee, Robert D. Nowak

CoRR, 2022

GALAXY: Graph-based Active Learning at the Extreme.

Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak

Proceedings of the International Conference on Machine Learning, 2022

2021

Improved Algorithms for Agnostic Pool-based Active Classification.

Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learning to Actively Learn: A Robust Approach.

Jifan Zhang, Kevin Jamieson

CoRR, 2020