|
I am a third-year Ph.D. student at the Gaoling School of Artificial Intelligence, Renmin University of China. I am fortunate to be advised by Prof. Zhicheng Dou. Previously, I received M.Eng and B.Eng degrees in Computer Science from Tsinghua University in 2021 and from Nankai University in 2018, respectively.
I am dedicated to developing advanced information distribution systems. My research covers information retrieval, conversational search, RAG, large language models, recommender systems, etc.
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval.
Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou.
Arxiv 2024. [Paper]
Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding.
Yiruo Cheng, Kelong Mao, Zhicheng Dou.
Arxiv 2024. [Paper]
Grounding Language Model with Chunking-Free In-Context Retrieval.
Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou.
Arxiv 2024. [Paper]
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation.
Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao.
Arxiv 2024. [Paper]
History-Aware Conversational Dense Retrieval.
Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, Jian-Yun Nie.
Arxiv 2024. [Paper]
ConvSDG: Session Data Generation for Conversational Search.
Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang and Jian-Yun Nie.
WWW 2024 Workshop: Information Retrieval Meets Large Language Models
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.
Kelong Mao, Zhicheng Dou, Fengran Mo, Jiewen Hou, Haonan Chen, Hongjin Qian.
Findings of EMNLP 2023.
Learning to Relate to Previous Turns in Conversational Search.
Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu
KDD 2023.
ConvGQR: Generative Query Reformulation for Conversational Search.
Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang and Jian-Yun Nie
ACL 2023.
Search-oriented Conversational Query Editing.
Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng and Zhao Cao
Findings of ACL 2023.
Learning Denoised and Interpretable Session Representation for Conversational Search.
Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao.
WWW 2023. [Spotlight-Best Paper Award Nominations, 16 out of 365 accepted papers] [Paper] [Code]
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.
Kelong Mao*, Jieming Zhu*, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong.
AAAI 2023. [Paper] [Code]
ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval.
Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao.
EMNLP 2022. [Paper][Code]
Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval.
Kelong Mao, Zhicheng Dou, Hongjin Qian.
SIGIR 2022. [Paper][Code]
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation.
Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He.
CIKM 2021. [Paper][Code]
SimpleX:A Simple and Strong Baseline for Collaborative Filtering.
Kelong Mao*, Jieming Zhu*, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He.
CIKM 2021. [Paper][Code]
Byte-Label Joint Attention Learning for Network Traffic Classification.
Kelong Mao, Xi Xiao, Guangwu Hu, Xiapu Luo, Bin Zhang, Shutao Xia.
IWQoS 2021. [Paper]
Molecular Graph Enhanced Transformer for Retrosynthesis Prediction.
Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao.
Journal of Neurocomputing, 2021. [Paper][Code]
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He.
SIGIR 2020. [Paper][Code]