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Liu Qidong

I am a third year Joint-PhD of XJTU & CityU.

News

2024

  • [2024.11] I give an invited talk about Trend and Progress in LLM for Recommendation at OPPO Research Institute
  • [2024.11] Our Prompt for Multi-center Medication Recommendation is accepted by TOIS, thank Zijian for his help
  • [2024.9] Our LLM Enhanced Sequential Recommendation is accepted by NeurIPS’24 as spotlight, thank Yejing and Zijian for their grand helps!
  • [2024.9] Our Contrastive Decoding for LLMs is accepted by EMNLP’24, congratulations to my friend Derong!
  • [2024.9] Our Bi-level User Modeling is accepted by ICDM’24, congratulations to my friend Yejing!
  • [2024.8] I will serve as the reviewer of ICLR’25
  • [2024.8] Our Multimodal Recommender System Survey is accepted by CSUR, thank Jiaxi, Yutian and Jingtong for their help
  • [2024.8] I will serve as the reviewer of KDD’25
  • [2024.7] Our Model Editing for Medical LLMs is accepted by CIKM’24, congratulations to my friend Derong!
  • [2024.6] I give an invited talk about Multimodal Recommender Systems Survey at DataFunSummit [poster] [PPT]
  • [2024.6] I will serve as the PC member of AAAI’25
  • [2024.6] Our LLM Enhanced Long-tailed Sequential Recommendation is available on arXiv
  • [2024.5] I will serve as the reviewer of NeurIPS’24
  • [2024.5] Our ControlTraj work is accepted by KDD’24, congratulations to my friend Yuanshao!
  • [2024.3] Our MOELoRA for Multi-task Medical Applications and Multi-domain Multi-task Recommendation works are accepted by SIGIR’24, thank Yuanshao and Derong for their grand helps and congratulations to my friend Zijian
  • [2024.3] I will serve as the PC member of CIKM’24
  • [2024.2] I will serve as the PC member of RecSys’24
  • [2024.2] Our LLM for Medication Recommendation is available on arXiv

2023

  • [2023.12] I will serve as the PC member of IJCAI’24
  • [2023.11] Our MOELoRA for Multi-task Medical Applications work is pulished on arXiv
  • [2023.10] I chaired the session “Sequence Modeling 6“ in CIKM @ 2023
  • [2023.10] I am rewared the Graduate Student First-class Academic Scholarship and Outstanding Graduate Award in XJTU
  • [2023.9] I passed the qualifying exam in CityU
  • [2023.8] Two papers are accepted by DLP @ RecSys'23
  • [2023.8] Our team Jarvis-XJTU wins the creative award in the TianChi CCKS2023-PromptCBLUE competition [code] [pic] [certificate], thanks to my leader Dr. Wu
  • [2023.8] Our Diffusion Augmentation for Sequentail Recommendation and Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction are accepted by CIKM’23, congratulations to my friend Zijian
  • [2023.7] I will serve as the PC member of AAAI’24
  • [2023.6] Our Sparse Tansformer for Sequential Recommendation is accepted by RecSys’23
  • [2023.6] I am hornored to receive the Travel Grant @ IJCAI’23, and I will also serve as a student volunteer
  • [2023.5] I start my internship at Tecent Jarvis Lab
  • [2023.5] I will serve as the PC member of SIGIR-AP’23
  • [2023.5] We will provide a tutorial of Trustworthy Recommender Systems @ KDD’23
  • [2023.4] We will provide a tutorial of Trustworthy Recommender Systems @ IJCAI’23
  • [2023.4] Our Prompt for Multi-domain CTR Prediction is accepted by SIGIR’23, congratulations to my friend Yuhao!
  • [2023.3] I give an invited talk about Pretrain Model for Multi-center Medication Recommendation at Hong Kong Institute for Data Science [poster]
  • [2023.2] Our Multi-modal RS Survey is pulished on arXiv
  • [2023.2] Our Popularity Bias for SBR work is accepted by KAIS
  • [2023.1] Our HOI in Educational Scenery work is accepted by AI4Ed’23, congratulations to my friend Fang!

2022

  • [2022.12] Our team won the Outstanding Project (8/34) in CCF-Tencent Open Fund 2021
  • [2022.12] We will provide a tutorial of Trustworthy Recommender Systems @ WWW’23
  • [2022.9] Our Trustworthy Recommender Systems Survey is published on arXiv
  • [2022.8] I start working with Dr. Zhao
  • [2022.8] I arrive at Hong Kong, and is honored to join AML lab, CityU.

2021

  • [2021.9] Our team won the 3rd Place in YIDIANZIXUN Code Competition (CTR prediction channel), thanks to my team member Chengcheng and Dailusi.
  • [2021.7] I give an invited talk about Intelligent Tutor System in NUDT
  • [2021.3] I begin my PhD in XJTU under the supervision of Prof. Tian

Before 2021

  • [2020.8] Our Causal Inference for various variates work is accepted by ACML’20
  • [2019.8] I begin my MS in XJTU under the supervision of Prof. Tian
  • [2019.6] I got my bachelor degree in XJTU