Qijiong Liu

46 papers A* 9A 3B 1Journal 25Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A conf
Accelerating Generative Recommendation via Simple Categorical User Sequence Compression.
WSDM
Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu
2026 J jnl
Accelerating Generative Recommendation via Simple Categorical User Sequence Compression.
CoRR
Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu
2025 J jnl
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders.
CoRR
Qijiong Liu, Jieming Zhu, Lu Fan, Kun Wang, Hengchang Hu, Wei Guo, Yong Liu, Xiao-Ming Wu
2025 A* conf
Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract).
ICDE
Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang
2025 J jnl
Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation.
IEEE Trans. Knowl. Data Eng.
Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang
2025 J jnl
Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark.
CoRR
Qijiong Liu, Jieming Zhu, Yingxin Lai, Xiaoyu Dong, Lu Fan, Zhipeng Bian, Zhenhua Dong, Xiao-Ming Wu
2025 A* conf
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment.
EMNLP
Zhipeng Bian, Jieming Zhu, Qijiong Liu, Wang Lin, Guohao Cai, Zhaocheng Du, Jiacheng Sun, Zhou Zhao, Zhenhua Dong
2025 — conf
Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support.
WWW (Companion Volume)
Qijiong Liu, Lu Fan, Xiao-Ming Wu
2025 — conf
Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation.
WWW (Companion Volume)
Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
2025 — conf
NetSafe: Exploring the Topological Safety of Multi-agent System.
ACL (Findings)
Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Kun Wang, Qingsong Wen, Yang Wang
2025 A* conf
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning.
ICLR
Yuankai Luo, Hongkang Li, Qijiong Liu, Lei Shi, Xiao-Ming Wu
2025 A* conf
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation.
EMNLP
Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao
2025 J jnl
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation.
CoRR
Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao
2024 — conf
AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment.
SIGIR-AP
Nuo Chen, Jiqun Liu, Xiaoyu Dong, Qijiong Liu, Tetsuya Sakai, Xiao-Ming Wu
2024 J jnl
AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment.
CoRR
Nuo Chen, Jiqun Liu, Xiaoyu Dong, Qijiong Liu, Tetsuya Sakai, Xiao-Ming Wu
2024 — conf
Benchmarking News Recommendation in the Era of Green AI.
WWW (Companion Volume)
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
2024 J jnl
Benchmarking News Recommendation in the Era of Green AI.
CoRR
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
2024 A conf
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation.
RecSys
Jieming Zhu, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, Xiu Li
2024 — conf
Discrete Semantic Tokenization for Deep CTR Prediction.
WWW (Companion Volume)
Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu
2024 J jnl
Discrete Semantic Tokenization for Deep CTR Prediction.
CoRR
Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu
2024 — conf
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs.
ACL (1)
Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu
2024 A* conf
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization.
WWW
Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu
2024 J jnl
Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support.
CoRR
Qijiong Liu, Lu Fan, Xiao-Ming Wu
2024 — conf
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision.
ECIR (1)
Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan
2024 J jnl
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision.
CoRR
Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan
2024 A* conf
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.
KDD
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024 J jnl
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.
CoRR
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024 J jnl
NetSafe: Exploring the Topological Safety of Multi-agent Networks.
CoRR
Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Qingsong Wen, Kun Wang, Yang Wang
2024 A conf
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models.
WSDM
Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu
2024 J jnl
STORE: Streamlining Semantic Tokenization and Generative Recommendation with A Single LLM.
CoRR
Qijiong Liu, Jieming Zhu, Lu Fan, Zhou Zhao, Xiao-Ming Wu
2024 J jnl
Structure-aware Semantic Node Identifiers for Learning on Graphs.
CoRR
Yuankai Luo, Qijiong Liu, Lei Shi, Xiao-Ming Wu
2024 J jnl
Vector Quantization for Recommender Systems: A Review and Outlook.
CoRR
Qijiong Liu, Xiaoyu Dong, Jiaren Xiao, Nuo Chen, Hengchang Hu, Jieming Zhu, Chenxu Zhu, Tetsuya Sakai, Xiao-Ming Wu
2023 J jnl
A First Look at LLM-Powered Generative News Recommendation.
CoRR
Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu
2023 J jnl
Co-evolving Vector Quantization for ID-based Recommendation.
CoRR
Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu
2023 A* conf
Continual Graph Convolutional Network for Text Classification.
AAAI
Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding
2023 J jnl
Continual Graph Convolutional Network for Text Classification.
CoRR
Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding
2023 J jnl
Dataset Condensation for Recommendation.
CoRR
Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang
2023 J jnl
Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling.
CoRR
Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Qing Li, Ke Tang
2023 A* conf
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation.
WWW
Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu
2023 J jnl
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation.
CoRR
Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu
2023 J jnl
Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.
CoRR
Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
2023 J jnl
Making Multimodal Generation Easier: When Diffusion Models Meet LLMs.
CoRR
Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu
2023 J jnl
Only Encode Once: Making Content-based News Recommender Greener.
CoRR
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
2022 B conf
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation.
COLING
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiaoming Wu
2019 A* conf
Weak Supervision Enhanced Generative Network for Question Generation.
IJCAI
Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang
2019 J jnl
Weak Supervision Enhanced Generative Network for Question Generation.
CoRR
Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang