Jizhi Zhang - researchr alias

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Viewing Publication 1 - 28 from 28

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]

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]

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]

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]

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]

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]

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]

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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