Publications

(2024). The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL Findings.

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(2024). Exploring Memorization in Fine-tuned Language Models. ACL.

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(2024). Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. ECML PKDD.

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(2024). Enhancing graph neural networks with structure-based prompt. ECML PKDD.

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(2024). Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. SIGIR.

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(2024). Mill: Mutual Verification with Large Language Models for Zero-shot Query Expansion. NAACL.

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(2024). SMLP4Rec: An Efficient all-MLP Architecture for Sequential Recommendations. ACM TOIS.

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(2024). A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. NAACL Findings.

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(2023). Self-supervised Heterogeneous Graph Variational Autoencoders. arXiv preprint arXiv:2311.07929.

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(2023). Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction. arXiv preprint arXiv:2306.01599.

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(2023). Online anomalous subtrajectory detection on road networks with deep reinforcement learning. ICDE.

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(2023). Layout-aware webpage quality assessment. arXiv preprint arXiv:2301.12152.

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(2023). I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CIKM.

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(2022). Pre-trained language model-based retrieval and ranking for Web search. ACM TWEB.

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(2022). Incorporating explicit knowledge in pre-trained language models for passage re-ranking. SIGIR.

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(2022). Fast semantic matching via flexible contextualized interaction. WSDM.

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(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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(2021). Robust road network representation learning: When traffic patterns meet traveling semantics. CIKM.

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(2021). Pre-trained language model for web-scale retrieval in baidu search. KDD.

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(2021). Enhanced doubly robust learning for debiasing post-click conversion rate estimation. SIGIR.

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(2020). Online anomalous trajectory detection with deep generative sequence modeling. ICDE.

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(2020). Efficient and effective similar subtrajectory search with deep reinforcement learning. VLDB.

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(2020). Deep multifaceted transformers for multi-objective ranking in large-scale e-commerce recommender systems. CIKM.

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(2020). Decoupled graph convolution network for inferring substitutable and complementary items. CIKM.

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(2019). Learning from multiple cities: A meta-learning approach for spatial-temporal prediction. TheWebConf.

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(2019). Interact and decide: Medley of sub-attention networks for effective group recommendation. SIGIR.

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(2018). Efficient similar region search with deep metric learning. KDD.

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(2017). Correlation between social proximity and mobility similarity. Scientific reports.

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(2017). An experimental evaluation of point-of-interest recommendation in location-based social networks. VLDB.

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