Jizhi Zhang - researchr alias

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Viewing Publication 1 - 31 from 31

2025

Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and DeploymentXinyu Lin 0001, Keqin Bao, Jizhi Zhang, Yang Zhang 0072, Wenjie Wang 0007, Fuli Feng. sigir 2025: 4134-4137 [doi]

CoLLM: Integrating Collaborative Embeddings Into Large Language Models for RecommendationYang Zhang 0072, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He 0001. tkde, 37(5):2329-2340, May 2025. [doi]

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation SystemsKeqin Bao, Jizhi Zhang, Wenjie Wang 0007, Yang Zhang 0072, Zhengyi Yang 0007, Yanchen Luo, Chong Chen 0001, Fuli Feng, Qi Tian 0001. tors, 3(4), December 2025. [doi]

Customizing In-context Learning for Dynamic Interest Adaption in LLM-based RecommendationKeqin Bao, Ming Yan, Yang Zhang, Jizhi Zhang, Wenjie Wang 0007, Fuli Feng, Xiangnan He 0001. acl 2025: 14278-14291 [doi]

Agentic Feedback Loop Modeling Improves Recommendation and User SimulationShihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He 0001. sigir 2025: 2235-2244 [doi]

K-order Ranking Preference Optimization for Large Language ModelsShihao Cai, Chongming Gao, Yang Zhang 0072, Wentao Shi 0002, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng. acl 2025: 4844-4859 [doi]

Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing RecommendationChengbing Wang, Wentao Shi 0002, Jizhi Zhang, Wenjie Wang, Hang Pan 0006, Fuli Feng. WWW 2025: 1341-1345 [doi]

Leveraging Memory Retrieval to Enhance LLM-based Generative RecommendationChengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng. WWW 2025: 1346-1350 [doi]

Fair Recommendation with Biased-Limited Sensitive AttributeJizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen 0033, Yang Zhang, Fuli Feng. sigir 2025: 1717-1727 [doi]

Envisioning Recommendations on an LLM-Based Agent PlatformJizhi Zhang, Keqin Bao, Wenjie Wang 0007, Yang Zhang 0072, Wentao Shi 0002, Wanhong Xu, Fuli Feng, Tat-Seng Chua. CACM, 68(05):48-57, May 2025. [doi]

2024

Learnable Item Tokenization for Generative RecommendationWenjie Wang 0007, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li 0001, Fuli Feng, See-Kiong Ng, Tat-Seng Chua. CIKM 2024: 2400-2409 [doi]

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language ModelsKeqin Bao, Jizhi Zhang, Yang Zhang 0072, Xinyue Huo, Chong Chen 0001, Fuli Feng. emnlp 2024: 10540-10552 [doi]

Large Language Models for Recommendation: Past, Present, and FutureKeqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng. sigir 2024: 2993-2996 [doi]

GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image GenerationShihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng. emnlp 2024: 750-766 [doi]

Item-side Fairness of Large Language Model-based Recommendation SystemMeng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang 0007, Fuli Feng, Xiangnan He 0001. WWW 2024: 4717-4726 [doi]

Large Language Models are Learnable Planners for Long-Term RecommendationWentao Shi, Xiangnan He 0001, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng. sigir 2024: 1893-1903 [doi]

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization ApproachTianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He 0001. sigir 2024: 448-457 [doi]

BSL: Understanding and Improving Softmax Loss for RecommendationJunkang Wu, Jiawei Chen 0007, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang. icde 2024: 816-830 [doi]

Diffusion Models for Generative Outfit RecommendationYiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He 0001. sigir 2024: 1350-1359 [doi]

Large Language Models for Recommendation: Progresses and Future DirectionsJizhi Zhang, Keqin Bao, Yang Zhang 0072, Wenjie Wang, Fuli Feng, Xiangnan He 0001. WWW 2024: 1268-1271 [doi]

2023

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with RecommendationKeqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He 0001. recsys 2023: 1007-1014 [doi]

Large Language Models for Recommendation: Progresses and Future DirectionsKeqin Bao, Jizhi Zhang, Yang Zhang, Wang Wenjie, Fuli Feng, Xiangnan He 0001. sigir-ap 2023: 306-309 [doi]

Robust Prompt Optimization for Large Language Models Against Distribution ShiftsMoxin Li, Wenjie Wang, Fuli Feng, Yixin Cao 0002, Jizhi Zhang, Tat-Seng Chua. emnlp 2023: 1539-1554 [doi]

On the Theories Behind Hard Negative Sampling for RecommendationWentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He 0001. WWW 2023: 812-822 [doi]

A Generic Learning Framework for Sequential Recommendation with Distribution ShiftsZhengyi Yang, Xiangnan He 0001, Jizhi Zhang, Jiancan Wu, Xin Xin 0003, Jiawei Chen, Xiang Wang 0010. sigir 2023: 331-340 [doi]

Interactive active learning for fairness with partial group labelZeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He 0001. aiopen, 4:175-182, January 2023. [doi]

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model RecommendationJizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He 0001. recsys 2023: 993-999 [doi]

Popularity-aware Distributionally Robust Optimization for Recommendation SystemJujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua. CIKM 2023: 4967-4973 [doi]

2021

Empowering Language Understanding with Counterfactual ReasoningFuli Feng, Jizhi Zhang, Xiangnan He 0001, Hanwang Zhang, Tat-Seng Chua. acl 2021: 2226-2236 [doi]

2017

A Weakly Supervised Deep Learning Semantic Segmentation FrameworkJizhi Zhang, Guoying Zhang, Qiangyu Wang, Shuang Bai. smartcloud 2017: 182-185 [doi]

2010

Bulk ZnO: Current Status, Challenges, and ProspectsVitaliy Avrutin, Gene Cantwell, Jizhi Zhang, J. J. Song, Donald J. Silversmith, Hadis Morkoç. pieee, 98(7):1339-1350, 2010. [doi]

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