Publications

Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang (2024). The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL Findings.

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Weiwei Sun, Zhengliang Shi, Jiulong Wu, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren (2024). MAIR - A Massive Benchmark for Evaluating Instructed Retrieval. EMNLP.

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Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin (2024). Exploring Memorization in Fine-tuned Language Models. ACL.

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Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang (2024). Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. ECML PKDD.

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Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin (2024). Enhancing graph neural networks with structure-based prompt. ECML PKDD.

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Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma (2024). Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. SIGIR.

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Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin (2024). Mill: Mutual Verification with Large Language Models for Zero-shot Query Expansion. NAACL.

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Jingtong Gao, Xiangyu Zhao, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin (2024). SMLP4Rec: An Efficient all-MLP Architecture for Sequential Recommendations. ACM TOIS.

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Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang (2024). A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. NAACL Findings.

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Canjia Li, Xiaoyang Wang, Dongdong Li, Yiding Liu, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Simiu Gu, Dawei Yin (2023). Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction. arXiv preprint arXiv:2306.01599.

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Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi (2023). Online anomalous subtrajectory detection on road networks with deep reinforcement learning. ICDE.

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Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin (2023). Layout-aware webpage quality assessment. arXiv preprint arXiv:2301.12152.

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Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma (2023). I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CIKM.

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Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Others (2022). Pre-trained language model-based retrieval and ranking for Web search. ACM TWEB.

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Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin (2022). Incorporating explicit knowledge in pre-trained language models for passage re-ranking. SIGIR.

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Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin (2022). Fast semantic matching via flexible contextualized interaction. WSDM.

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Yuxiang Lu, Yiding Liu, Jiaxiang Liu, Yunsheng Shi, Zhengjie Huang, Shikun Feng Yu Sun, Hao Tian, Hua Wu, Shuaiqiang Wang, Dawei Yin, Others (2022). Ernie-search: Bridging cross-encoder with dual-encoder via self on-the-fly distillation for dense passage retrieval. arXiv preprint arXiv:2205.09153.

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Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison (2021). Robust road network representation learning: When traffic patterns meet traveling semantics. CIKM.

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Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin (2021). Pre-trained language model for web-scale retrieval in baidu search. KDD.

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Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang (2021). Enhanced doubly robust learning for debiasing post-click conversion rate estimation. SIGIR.

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Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao (2020). Online anomalous trajectory detection with deep generative sequence modeling. ICDE.

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Zheng Wang, Cheng Long, Gao Cong, Yiding Liu (2020). Efficient and effective similar subtrajectory search with deep reinforcement learning. VLDB.

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Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin (2020). Deep multifaceted transformers for multi-objective ranking in large-scale e-commerce recommender systems. CIKM.

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Yiding Liu, Yulong Gu, Zhuoye Ding, Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan (2020). Decoupled graph convolution network for inferring substitutable and complementary items. CIKM.

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Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li (2019). Learning from multiple cities: A meta-learning approach for spatial-temporal prediction. TheWebConf.

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Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li (2019). Interact and decide: Medley of sub-attention networks for effective group recommendation. SIGIR.

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Yiding Liu, Kaiqi Zhao, Gao Cong (2018). Efficient similar region search with deep metric learning. KDD.

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Chao Fan, Yiding Liu, Junming Huang, Zhihai Rong, Tao Zhou (2017). Correlation between social proximity and mobility similarity. Scientific reports.

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Yiding Liu, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan (2017). An experimental evaluation of point-of-interest recommendation in location-based social networks. VLDB.

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