Publications

2026

2026

1. ICLR

   Fairness via Independence: A General Regularization Framework for Machine Learning

   Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, and Mohsen Imani

   International Conference on Learning Representations, 2026

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2. ACL Findings

   LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples

   Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, and Mohsen Imani

   (Also presented at NeurIPS 2025 Workshop) ACL Findings, 2026

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3. WSDM

   Debias Once for All: A Data-Centric Strategy for Fair Machine Learning

   Yezi Liu, Hanning Chen, Yanning Shen, and Mohsen Imani

   ACM International Conference on Web Search and Data Mining, 2026

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4. CVPR

   MERIT: Multi-domain Efficient RAW Image Translation

   Wenjun Huang, Shenghao Fu, Yian Jin, Yang Ni, Ziteng Cui, Hanning Chen, Yirui He, Yezi Liu, Sanggeon Yun, SungHeon Jeong, Ryozo Masukawa, William Youngwoo Chung, and Mohsen Imani

   IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

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5. ICASSP

   Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking

   Wenjun Huang, Yang Ni, Hanning Chen, Yirui He, Yezi Liu, Ian Bryant, Mahdi Imani, and Mohsen Imani

   IEEE International Conference on Acoustics, Speech, and Signal Processing, 2026

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2025

2025

1. IJCAI

   DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation

   Yezi Liu, Jiaxuan Xie, and Yanning Shen

   International Joint Conference on Artificial Intelligence, 2025

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2. CIKM

   Enabling Group Fairness in Machine Unlearning via Distribution Correction

   Yezi Liu, and Yanning Shen

   ACM International Conference on Information and Knowledge Management, 2025

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3. WWW (Short)

   Beyond Node Condensation: Learning Tiny Graphs via Joint Graph Condensation

   Yezi Liu, and Yanning Shen

   The ACM Web Conference, 2025

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4. WWW (Short)

   White Admitted by Stanford, Black Got Rejections: Exploring Racial Stereotypes in Text-to-Image Generation from a College Admissions Lens

   Yezi Liu, Wenjun Huang, Yang Ni, Hanning Chen, and Mohsen Imani

   The ACM Web Conference, 2025

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5. ACM MM

   LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation

   Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, and Mohsen Imani

   ACM International Conference on Multimedia, 2025

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6. WACV

   Recoverable anonymization for pose estimation: A privacy-enhancing approach

   Wenjun Huang, Yang Ni, Arghavan Rezvani, SungHeon Jeong, Hanning Chen, Yezi Liu, Fei Wen, and Mohsen Imani

   IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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7. WACV

   Vltp: Vision-language guided token pruning for task-oriented segmentation

   Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, SungHeon Jeong, Fei Wen, Nathaniel D Bastian, Hugo Latapie, and Mohsen Imani

   IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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8. TMLR

   Gradient Inversion Attack on Graph Neural Networks

   Divya Anand Sinha, Yezi Liu, Ruijie Du, and Yanning Shen

   Transactions on Machine Learning Research, 2025

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2024

2024

1. ECCV Workshop

   Taskclip: Extend large vision-language model for task oriented object detection

   Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, and Mohsen Imani

   European Conference on Computer Vision Workshops, 2024

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2. Frontiers in Big Data

   Promoting fairness in link prediction with graph enhancement

   Yezi Liu, Hanning Chen, and Mohsen Imani

   Frontiers in Big Data, 2024

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3. EUSIPCO

   TinyData: joint dataset condensation with dimensionality reduction

   Yezi Liu, and Yanning Shen

   European Signal Processing Conference, 2024

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2023

2023

1. CIKM (Short)

   Fairgraph: Automated graph debiasing with gradient matching

   Yezi Liu

   ACM International Conference on Information and Knowledge Management, 2023

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2. EUSIPCO

   Error detection on knowledge graphs with triple embedding

   Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, and Xia Hu

   European Signal Processing Conference, 2023

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2022

2022

1. CIKM

   Contrastive knowledge graph error detection

   Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, and Linchuan Xu

   ACM International Conference on Information and Knowledge Management, 2022

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2. AAAI Demo

   RES: An Interpretable Replicability Estimation System for Research Publications

   Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M Shipman, Xia Hu, and James Caverlee

   The Association for the Advancement of Artificial Intelligence, 2022

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