Jizhi Zhang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 35

Top Topics

Semantic Segmentation

Sensitive Attributes

Personalized Recommendation

Top Venues

Publications

Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
Item-side Fairness of Large Language Model-based Recommendation System. CoRR (2024)
Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
Learnable Tokenizer for LLM-based Generative Recommendation. CoRR (2024)
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
DiFashion: Towards Personalized Outfit Generation and Recommendation. CoRR (2024)
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
Diffusion Models for Generative Outfit Recommendation. SIGIR (2024)
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. CoRR (2024)
Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation. CoRR (2024)
Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng
Large Language Models for Recommendation: Past, Present, and Future. SIGIR (2024)
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
Large Language Models are Learnable Planners for Long-Term Recommendation. SIGIR (2024)
Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. SIGIR (2024)
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
BSL: Understanding and Improving Softmax Loss for Recommendation. ICDE (2024)
Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. CoRR (2024)
Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
Large Language Models for Recommendation: Progresses and Future Directions. WWW (Companion Volume) (2024)
Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation. CoRR (2024)
Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
Item-side Fairness of Large Language Model-based Recommendation System. WWW (2024)
Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua
Prospect Personalized Recommendation on Large Language Model-based Agent Platform. CoRR (2024)
Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. RecSys (2023)
Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He
Interactive active learning for fairness with partial group label. AI Open 4 (2023)
Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation. CoRR (2023)
Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation. CoRR (2023)
Keqin Bao, Jizhi Zhang, Yang Zhang, Wang Wenjie, Fuli Feng, Xiangnan He
Large Language Models for Recommendation: Progresses and Future Directions. SIGIR-AP (2023)
Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He
Large Language Model Can Interpret Latent Space of Sequential Recommender. CoRR (2023)
Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Fuli Feng, Xiangnaan He, Qi Tian
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. CoRR (2023)
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
On the Theories Behind Hard Negative Sampling for Recommendation. WWW (2023)
Moxin Li, Wenjie Wang, Fuli Feng, Jizhi Zhang, Tat-Seng Chua
Robust Instruction Optimization for Large Language Models with Distribution Shifts. CoRR (2023)
Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua
Robust Prompt Optimization for Large Language Models Against Distribution Shifts. EMNLP (2023)
Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. SIGIR (2023)
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
BSL: Understanding and Improving Softmax Loss for Recommendation. CoRR (2023)
Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua
Popularity-aware Distributionally Robust Optimization for Recommendation System. CIKM (2023)
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
On the Theories Behind Hard Negative Sampling for Recommendation. CoRR (2023)
Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. CoRR (2023)
Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. RecSys (2023)
Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. CoRR (2023)
Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
Empowering Language Understanding with Counterfactual Reasoning. CoRR (2021)
Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
Empowering Language Understanding with Counterfactual Reasoning. ACL/IJCNLP (Findings) (2021)
Jizhi Zhang, Guoying Zhang, Qiangyu Wang, Shuang Bai
A Weakly Supervised Deep Learning Semantic Segmentation Framework. SmartCloud (2017)
Vitaliy Avrutin, Gene Cantwell, Jizhi Zhang, J. J. Song, Donald J. Silversmith, Hadis Morkoç
Bulk ZnO: Current Status, Challenges, and Prospects. Proc. IEEE 98 (7) (2010)