Jifan Zhang

40 papers A* 9Misc 1Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Leum-VL Technical Report.
CoRR
Yuxuan He, Chaiming Huang, Yifan Wu, Hongjun Wang, Chenkui Shen, Jifan Zhang, Long Li
2026 J jnl
Unknown Aware AI-Generated Content Attribution.
CoRR
Ellie Thieu, Jifan Zhang, Haoyue Bai
2025 — conf
Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs.
EMNLP (Findings)
Kuan Lok Zhou, Jiayi Chen, Siddharth Suresh, Reuben Narad, Timothy T. Rogers, Lalit K. Jain, Robert D. Nowak, Bob Mankoff, Jifan Zhang
2025 J jnl
Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs.
CoRR
Kuan Lok Zhou, Jiayi Chen, Siddharth Suresh, Reuben Narad, Timothy T. Rogers, Lalit K. Jain, Robert D. Nowak, Bob Mankoff, Jifan Zhang
2025 J jnl
Causal representation learning from network data.
CoRR
Jifan Zhang, Michelle M. Li, Elena Zheleva
2025 J jnl
Deep Active Learning in the Open World.
Trans. Mach. Learn. Res.
Tian Xie, Jifan Zhang, Haoyue Bai, Robert D. Nowak
2025 A* conf
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling.
CVPR
Jinhong Lin, Cheng-En Wu, Huanran Li, Jifan Zhang, Yu Hen Hu, Pedro Morgado
2025 A* conf
Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation.
ICML
Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak
2025 A* conf
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs.
EMNLP
Abhinav Arabelly, Jagrut Nemade, Robert D. Nowak, Jifan Zhang
2025 J jnl
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs.
CoRR
Abhinav Arabelly, Jagrut Nemade, Robert D. Nowak, Jifan Zhang
2025 J jnl
Interpretable deep fuzzy network-aided detection of central lymph node metastasis status in papillary thyroid carcinoma.
Int. J. Comput. Assist. Radiol. Surg.
Wenxu Wang, Zhenyuan Ning, Jifan Zhang, Yu Zhang, Weizhen Wang
2025 J jnl
Stress-Testing Model Specs Reveals Character Differences among Language Models.
CoRR
Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, Esin Durmus
2025 J jnl
Topology-Aware Conformal Prediction for Stream Networks.
CoRR
Jifan Zhang, Fangxin Wang, Philip S. Yu, Kaize Ding, Shixiang Zhu
2025 J jnl
Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench.
CoRR
Reuben Narad, Siddharth Suresh, Jiayi Chen, Pine S. L. Dysart-Bricken, Bob Mankoff, Rob Nowak, Jifan Zhang, Lalit K. Jain
2024 A* conf
AHA: Human-Assisted Out-of-Distribution Generalization and Detection.
NeurIPS
Haoyue Bai, Jifan Zhang, Robert D. Nowak
2024 J jnl
AHA: Human-Assisted Out-of-Distribution Generalization and Detection.
CoRR
Haoyue Bai, Jifan Zhang, Robert Nowak
2024 — conf
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.
ACL (Findings)
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
2024 J jnl
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.
CoRR
Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak
2024 J jnl
Deep Active Learning in the Open World.
CoRR
Tian Xie, Jifan Zhang, Haoyue Bai, Robert D. Nowak
2024 J jnl
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling.
CoRR
Jinhong Lin, Cheng-En Wu, Huanran Li, Jifan Zhang, Yu Hen Hu, Pedro Morgado
2024 A* conf
Harnessing Multiple Correlated Networks for Exact Community Recovery.
NeurIPS
Miklós Z. Rácz, Jifan Zhang
2024 J jnl
Harnessing Multiple Correlated Networks for Exact Community Recovery.
CoRR
Miklós Z. Rácz, Jifan Zhang
2024 A* conf
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning.
NeurIPS
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
2024 J jnl
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning.
CoRR
Jifan Zhang, Lalit K. Jain, Yang Guo, Jiayi Chen, Kuan Lok Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy T. Rogers, Kevin Jamieson, Robert Mankoff, Robert Nowak
2024 J jnl
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning.
J. Data-centric Mach. Learn. Res.
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
2024 J jnl
Learning from the Best: Active Learning for Wireless Communications.
CoRR
Nasim Soltani, Jifan Zhang, Batool Salehi, Debashri Roy, Robert D. Nowak, Kaushik R. Chowdhury
2024 J jnl
Learning from the Best: Active Learning for Wireless Communications.
IEEE Wirel. Commun.
Nasim Soltani, Jifan Zhang, Batool Salehi, Debashri Roy, Robert D. Nowak, Kaushik R. Chowdhury
2024 J jnl
Management of resource sharing in emergency response using data-driven analytics.
Ann. Oper. Res.
Jifan Zhang, Salih Tutun, Samira Fazel Anvaryazdi, Mohammadhossein Amini, Durai Sundaramoorthi, Hema Sundaramoorthi
2024 J jnl
SIEVE: General Purpose Data Filtering System Matching GPT-4o Accuracy at 1% the Cost.
CoRR
Jifan Zhang, Robert D. Nowak
2023 A* conf
Algorithm Selection for Deep Active Learning with Imbalanced Datasets.
NeurIPS
Jifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak
2023 J jnl
Algorithm Selection for Deep Active Learning with Imbalanced Datasets.
CoRR
Jifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak
2023 J jnl
DIRECT: Deep Active Learning under Imbalance and Label Noise.
CoRR
Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak
2023 J jnl
LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning.
CoRR
Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak
2023 Misc conf
Recurrent Fine-Grained Self-Attention Network for Video Crowd Counting.
ICASSP
Jifan Zhang, Zhe Wu, Xinfeng Zhang, Guoli Song, Yaowei Wang, Jie Chen
2022 J jnl
A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets.
CoRR
Liu Yang, Jifan Zhang, Joseph Shenouda, Dimitris S. Papailiopoulos, Kangwook Lee, Robert D. Nowak
2022 A* conf
GALAXY: Graph-based Active Learning at the Extreme.
ICML
Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak
2022 J jnl
GALAXY: Graph-based Active Learning at the Extreme.
CoRR
Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak
2021 A* conf
Improved Algorithms for Agnostic Pool-based Active Classification.
ICML
Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson
2021 J jnl
Improved Algorithms for Agnostic Pool-based Active Classification.
CoRR
Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson
2020 J jnl
Learning to Actively Learn: A Robust Approach.
CoRR
Jifan Zhang, Kevin Jamieson