Qijiong Liu

According to our database, Qijiong Liu authored at least 23 papers between 2019 and 2024.

Collaborative distances:

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

2024

AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment.

Nuo Chen, Jiqun Liu, Xiaoyu Dong, Qijiong Liu, Tetsuya Sakai, Xiao-Ming Wu

CoRR, 2024

STORE: Streamlining Semantic Tokenization and Generative Recommendation with A Single LLM.

Qijiong Liu, Jieming Zhu, Lu Fan, Zhou Zhao, Xiao-Ming Wu

CoRR, 2024

Structure-aware Semantic Node Identifiers for Learning on Graphs.

Yuankai Luo, Qijiong Liu, Lei Shi, Xiao-Ming Wu

CoRR, 2024

Vector Quantization for Recommender Systems: A Review and Outlook.

Qijiong Liu, Xiaoyu Dong, Jiaren Xiao, Nuo Chen, Hengchang Hu, Jieming Zhu, Chenxu Zhu, Tetsuya Sakai, Xiao-Ming Wu

CoRR, 2024

Benchmarking News Recommendation in the Era of Green AI.

Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu

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

Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization.

Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu

Proceedings of the ACM on Web Conference 2024, 2024

Discrete Semantic Tokenization for Deep CTR Prediction.

Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu

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

ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models.

Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation.

Jieming Zhu, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, Xiu Li

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.

Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision.

Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan

Proceedings of the Advances in Information Retrieval, 2024

EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs.

Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.

Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang

CoRR, 2023

Making Multimodal Generation Easier: When Diffusion Models Meet LLMs.

Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu

CoRR, 2023

Dataset Condensation for Recommendation.

Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang

CoRR, 2023

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling.

Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Qing Li, Ke Tang

CoRR, 2023

Co-evolving Vector Quantization for ID-based Recommendation.

Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu

CoRR, 2023

Only Encode Once: Making Content-based News Recommender Greener.

Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu

CoRR, 2023

A First Look at LLM-Powered Generative News Recommendation.

Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu

CoRR, 2023

FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation.

Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu

Proceedings of the ACM Web Conference 2023, 2023

Continual Graph Convolutional Network for Text Classification.

Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation.

Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiaoming Wu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2019

Weak Supervision Enhanced Generative Network for Question Generation.

Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019