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Jizhi Zhang
ORCID
Publication Activity (10 Years)
Years Active: 2010-2023
Publications (10 Years): 20
Top Topics
Language Model
Recommendation Systems
N Gram
Future Directions
Top Venues
CoRR
RecSys
EMNLP
AI Open
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Publications
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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)