Zezhong Fan

According to our database, Zezhong Fan authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

LLM-HYPER: Generative CTR Modeling for Cold-Start Ad Personalization via LLM-Based Hypernetworks.

Luyi Ma, Wanjia Zhang, Zezhong Fan, Shubham Thakur, Kai Zhao, Kehui Yao, Ayush Agarwal, Rahul Iyer, Jason H. D. Cho, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan

CoRR, April, 2026

CRAB: Codebook Rebalancing for Bias Mitigation in Generative Recommendation.

Zezhong Fan, Ziheng Chen, Luyi Ma, Jin Huang, Lalitesh Morishetti, Kaushiki Nag, Sushant Kumar, Kannan Achan

CoRR, April, 2026

CURE:Circuit-Aware Unlearning for LLM-based Recommendation.

Ziheng Chen, Jiali Cheng, Zezhong Fan, Hadi Amiri, Yunzhi Yao, Xiangguo Sun, Yang Zhang

CoRR, April, 2026

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data for LLM-based Multi-Behavior Recommender Systems.

Luyi Ma, Xiaohan Li, Zezhong Fan, Kai Zhao, Jianpeng Xu, Jason Cho, Praveenkumar Kanumala, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Segment and Matte Anything in a Unified Model.

Zezhong Fan, Xiaohan Li, Topojoy Biswas, Kaushiki Nag, Kannan Achan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning.

Zezhong Fan, Xiaohan Li, Luyi Ma, Kai Zhao, Liang Peng, Topojoy Biswas, Evren Körpeoglu, Kaushiki Nag, Kannan Achan

CoRR, September, 2025

Prompt-Tuning for Recommendation Unlearning.

Jin Huang, Zezhong Fan, Lalitesh Morishetti, Yuchan Guo, Kaushiki Nag, Hongshik Ahn, Ziheng Chen, Gabriele Tolomei

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

2024

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations.

Luyi Ma, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sushant Kumar, Kannan Achan

CoRR, 2024

Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding.

Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.

Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive Learning.

Xiaohan Li, Zezhong Fan, Luyi Ma, Kaushiki Nag, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2024