Qidong Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
16
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | HAAF: Hierarchical Adaptation and Alignment of Foundation Models for Few-Shot Pathology Anomaly Detection. | Chunze Yang, Wenjie Zhao, Yue Tang, Junbo Lu, Jiusong Ge, Qidong Liu, Zeyu Gao, Chen Li |
| 2026 | SIGIR | LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training. | Ziwei Liu, Qidong Liu, Wanyu Wang, Yejing Wang, Pengyue Jia, Tong Xu, Wei Huang, Chong Chen, Xiangyu Zhao |
| 2026 | SIGIR | GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks. | Yejing Wang, Shengyu Zhou, Jinyu Lu, Qidong Liu, Xinhang Li, Wenlin Zhang, Feng Li, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng, Xiangyu Zhao |
| 2025 | AAAI | LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation. | Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng |
| 2025 | AAAI | LLM-Powered User Simulator for Recommender System. | Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang |
| 2025 | AAAI | SIGMA: Selective Gated Mamba for Sequential Recommendation. | Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao |
| 2025 | ACL | A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs. | Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian |
| 2025 | ACL | Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. | Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao |
| 2025 | ACL | Stepwise Reasoning Disruption Attack of LLMs. | Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu |
| 2025 | CIKM | SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems. | Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang |
| 2025 | ICASSP | Exploring Triple Knowledge Cues for Zero-Shot Human-Object Interaction Detection. | Fang Nan, Ni Zhang, Qidong Liu, Wei Jing, Guang Dai, Yan Chen, Feng Tian |
| 2025 | IJCAI | Logic Distillation: Learning from Code Function by Function for Decision-making Tasks. | Dong Chen, Shilin Zhang, Fei Gao, Yueting Zhuang, Siliang Tang, Qidong Liu, Mingliang Xu |
| 2025 | INDIN | Stock return forecast and empirical asset pricing based on random forest. | Qidong Liu, Yihong Wang, Yangbin Chen, Hailing Li, Yifan Hong, Chengtao Ji |
| 2025 | KDD | Enhancing Generalization in Large-Scale HCVRP: A Rank-Augmented Neural Solver. | Qidong Liu, Jiurui Lian, Chaoyue Liu, Zhiguang Cao |
| 2025 | KDD | Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends. | Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian |
| 2025 | KDD | Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision. | Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang |
| 2025 | WWW | Joint Modeling in Deep Recommender Systems. | Pengyue Jia, Jingtong Gao, Yejing Wang, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang |
| 2025 | WWW | Behavior Modeling Space Reconstruction for E-Commerce Search. | Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuetao Wei, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong, Wei Lin |
| 2025 | SIGIR | Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation. | Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian |
| 2024 | CIKM | Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. | Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng |
| 2024 | EMNLP | Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding. | Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen |
| 2024 | ICDM | Bi-Level User Modeling for Deep Recommenders. | Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu |
| 2024 | KDD | ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. | Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang |
| 2024 | SIGIR | When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications. | Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng |
| 2024 | SIGIR | M | Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai |
| 2023 | CIKM | Diffusion Augmentation for Sequential Recommendation. | Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian |
| 2023 | CIKM | PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. | Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu |
| 2023 | IECON | Unknown Input Interval Observer Based Attack Tolerant State Estimation for Fuzzy CPSs. | Qidong Liu, Yue Long, Tieshan Li, Hanqing Yang |
| 2023 | KDD | Trustworthy Recommender Systems: Foundations and Frontiers. | Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang |
| 2023 | RecSys | STRec: Sparse Transformer for Sequential Recommendations. | Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu |
| 2023 | SIGIR | PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. | Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang |
| 2022 | ACCV | Focal and Global Spatial-Temporal Transformer for Skeleton-Based Action Recognition. | Zhimin Gao, Peitao Wang, Pei Lv, Xiaoheng Jiang, Qidong Liu, Pichao Wang, Mingliang Xu, Wanqing Li |
| 2022 | PAKDD | Bribery in Rating Systems: A Game-Theoretic Perspective. | Xin Zhou, Shigeo Matsubara, Yuan Liu, Qidong Liu |
| 2020 | ACML | A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network. | Qidong Liu, Feng Tian, Weihua Ji, Qinghua Zheng |