Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. - Kelong Mao; Xi Xiao; Jieming Zhu; Biao Lu; Ruiming Tang; Xiuqiang He 001 (SIGIR, 2020)

SimpleX: A Simple and Strong Baseline for Collaborative Filtering. - Kelong Mao; Jieming Zhu; Jinpeng Wang; Quanyu Dai; Zhenhua Dong; Xi Xiao; Xiuqiang He 001 (CIKM, 2021)

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. - Kelong Mao; Jieming Zhu; Xi Xiao; Biao Lu; Zhaowei Wang 002; Xiuqiang He 001 (CIKM, 2021)

Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification. - Kelong Mao; Xi Xiao; Guangwu Hu; Xiapu Luo; Bin Zhang 048; Shutao Xia (IWQoS, 2021)

Molecular graph enhanced transformer for retrosynthesis prediction. - Kelong Mao; Xi Xiao; Tingyang Xu; Yu Rong 001; Junzhou Huang; Peilin Zhao (Neurocomputing, 2021)

ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. - Kelong Mao; Zhicheng Dou; Hongjin Qian; Fengran Mo; Xiaohua Cheng; Zhao Cao (EMNLP, 2022)

Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. - Kelong Mao; Zhicheng Dou; Hongjin Qian (SIGIR, 2022)

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. - Kelong Mao; Jieming Zhu; Liangcai Su; Guohao Cai; Yuru Li; Zhenhua Dong (AAAI, 2023)

Search-Oriented Conversational Query Editing. - Kelong Mao; Zhicheng Dou; Bang Liu; Hongjin Qian; Fengran Mo; Xiangli Wu; Xiaohua Cheng; Zhao Cao (ACL (Findings), 2023)

ConvGQR: Generative Query Reformulation for Conversational Search. - Fengran Mo; Kelong Mao; Yutao Zhu 001; Yihong Wu; Kaiyu Huang; Jian-Yun Nie (ACL (1), 2023)

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. - Kelong Mao; Zhicheng Dou; Fengran Mo; Jiewen Hou; Haonan Chen 005; Hongjin Qian (EMNLP (Findings), 2023)

Learning to Relate to Previous Turns in Conversational Search. - Fengran Mo; Jian-Yun Nie; Kaiyu Huang; Kelong Mao; Yutao Zhu 001; Peng Li 030; Yang Liu 005 (KDD, 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)

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. - Kelong Mao; Zhicheng Dou; Haonan Chen 005; Fengran Mo; Hongjin Qian (CoRR, 2023)

Learning to Relate to Previous Turns in Conversational Search. - Fengran Mo; Jian-Yun Nie; Kaiyu Huang; Kelong Mao; Yutao Zhu 001; Peng Li 021; Yang Liu 005 (CoRR, 2023)

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation. - Haonan Chen 005; Zhicheng Dou; Kelong Mao; Jiongnan Liu; Ziliang Zhao (ACL (1), 2024)

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding. - Yiruo Cheng; Kelong Mao; Zhicheng Dou (ACL (1), 2024)

An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements. - Chenlong Deng; Zhicheng Dou; Yujia Zhou 002; Peitian Zhang; Kelong Mao (ACL (Findings), 2024)

History-Aware Conversational Dense Retrieval. - Fengran Mo; Chen Qu 001; Kelong Mao; Tianyu Zhu; Zhan Su 002; Kaiyu Huang; Jian-Yun Nie (ACL (Findings), 2024)

Grounding Language Model with Chunking-Free In-Context Retrieval. - Hongjin Qian; Zheng Liu 011; Kelong Mao; Yujia Zhou 002; Zhicheng Dou (ACL (1), 2024)

Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search. - Fengran Mo; Chen Qu 001; Kelong Mao; Yihong Wu; Zhan Su 002; Kaiyu Huang; Jian-Yun Nie (CIKM, 2024)

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation. - Chenlong Deng; Kelong Mao; Zhicheng Dou (EMNLP, 2024)

Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction. - Chenlong Deng; Kelong Mao; Yuyao Zhang; Zhicheng Dou (EMNLP (Findings), 2024)

RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment. - Kelong Mao; Zheng Liu 011; Hongjin Qian; Fengran Mo; Chenlong Deng; Zhicheng Dou (EMNLP (Findings), 2024)

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval. - Kelong Mao; Chenlong Deng; Haonan Chen 005; Fengran Mo; Zheng Liu 011; Tetsuya Sakai; Zhicheng Dou (EMNLP, 2024)

CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search. - Fengran Mo; Abbas Ghaddar; Kelong Mao; Mehdi Rezagholizadeh; Boxing Chen; Qun Liu 001; Jian-Yun Nie (EMNLP, 2024)

ConvSDG: Session Data Generation for Conversational Search. - Fengran Mo; Bole Yi; Kelong Mao; Chen Qu 001; Kaiyu Huang; Jian-Yun Nie (WWW (Companion Volume), 2024)

Are Long-LLMs A Necessity For Long-Context Tasks? - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Kelong Mao; Yujia Zhou 002; Xu Chen 017; Zhicheng Dou (CoRR, 2024)

YuLan: An Open-source Large Language Model. - Yutao Zhu 001; Kun Zhou 002; Kelong Mao; Wentong Chen; Yiding Sun; Zhipeng Chen 001; Qian Cao 001; Yihan Wu; Yushuo Chen; Feng Wang; Lei Zhang; Junyi Li; et al. (CoRR, 2024)

MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery. - Hongjin Qian; Peitian Zhang; Zheng Liu 011; Kelong Mao; Zhicheng Dou (CoRR, 2024)

A Survey of Conversational Search. - Fengran Mo; Kelong Mao; Ziliang Zhao; Hongjin Qian; Haonan Chen 005; Yiruo Cheng; Xiaoxi Li; Yutao Zhu 001; Zhicheng Dou; Jian-Yun Nie (CoRR, 2024)

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation. - Yiruo Cheng; Kelong Mao; Ziliang Zhao; Guanting Dong; Hongjin Qian; Yongkang Wu; Tetsuya Sakai; Ji-Rong Wen; Zhicheng Dou (CoRR, 2024)

A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression. - Chenlong Deng; Zhisong Zhang; Kelong Mao; Shuaiyi Li; Xinting Huang; Dong Yu 001; Zhicheng Dou (ACL (1), 2025)

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations. - Fengran Mo; Yifan Gao 001; Chuan Meng; Xin Liu 039; Zhuofeng Wu 005; Kelong Mao; Zhengyang Wang; Pei Chen; Zheng Li 018; Xian Li; Bing Yin; Meng Jiang 001 (ACL (1), 2025)

Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task. - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Kelong Mao; Yujia Zhou 002; Xu Chen 017; Zhicheng Dou (KDD (1), 2025)

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation. - Yiruo Cheng; Kelong Mao; Ziliang Zhao; Guanting Dong; Hongjin Qian; Yongkang Wu; Tetsuya Sakai; Ji-Rong Wen; Zhicheng Dou (NAACL (Findings), 2025)

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation. - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Kelong Mao; Defu Lian; Zhicheng Dou; Tiejun Huang 001 (WWW, 2025)

RBLJAN: Robust Byte-Label Joint Attention Network for Network Traffic Classification. - Xi Xiao; Shuo Wang; Guangwu Hu; Qing Li 006; Kelong Mao; Xiapu Luo; Bin Zhang 048; Shutao Xia (IEEE Trans. Dependable Secur. Comput., 2025)