Qijiong Liu - RankMe

46 papers A* 9A 3B 1Journal 25Unranked 8

Year	Rank	Type	Title / 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