Liqun Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection. | Han Wang, Deyi Ji, Junyu Lu, Lanyun Zhu, Hailong Zhang, Haiyang Wu, Liqun Liu, Peng Shu, Roy Ka-Wei Lee |
| 2026 | ACL | SSR-A: Spatial- and Semantic-Aware Instructions and Curriculum Reinforcement for Advertisement Compliant Rectification. | Te Cao, Mengge Xue, Zhenyu Hu, Yuan Chen, Liqun Liu, Peng Shu, Huan Yu, Jie Jiang |
| 2026 | ACL | \mathcalR³: Advertisement Compliance \mathcalRectification via Group-\mathcalRelative Experience Extractor and Curriculum \mathcalReinforcement. | Yuan Chen, Zhenyu Hu, Mengge Xue, Te Cao, Liqun Liu, Peng Shu, Huan Yu, Jie Jiang |
| 2026 | ACL | ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring. | Deyi Ji, Junyu Lu, Xuanyi Liu, Liqun Liu, Hailong Zhang, Peng Shu, Huan Yu, Jie Jiang, Tianrun Chen, Lanyun Zhu |
| 2026 | ACL | Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA. | Wenwei Li, Ming Xu, Tianle Xia, Lingxiang Hu, Yiding Sun, Linfang Shang, Liqun Liu, Peng Shu, Huan Yu, Jie Jiang |
| 2026 | ACL | Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training. | Tianle Xia, Ming Xu, Lingxiang Hu, Yiding Sun, Wenwei Li, Linfang Shang, Liqun Liu, Peng Shu, Huan Yu, Jie Jiang |
| 2026 | PacificVis | Identifying OM4AnI's Effectiveness in the Context of Explainable AI. | Liqun Liu, Leonid V. Bogachev, Mahdi Rezaei, Nishant Ravikumar, Arjun Khara, Mohsen Azarmi, Roy A. Ruddle |
| 2026 | SIGIR | Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos. | Junyu Lu, Deyi Ji, Liqun Liu, Xiaokun Zhang, Youlin Wu, Roy Ka-Wei Lee, Peng Shu, Huan Yu, Jie Jiang, Bo Xu, Liang Yang, Hongfei Lin |
| 2025 | EMNLP | RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning. | Deyi Ji, Yuekui Yang, Liqun Liu, Peng Shu, Haiyang Wu, Shaogang Tang, Xudong Chen, Shaoping Ma, Tianrun Chen, Lanyun Zhu |
| 2024 | ACL | Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding. | Kuo Liao, Shuang Li, Meng Zhao, Liqun Liu, Mengge Xue, Zhenyu Hu, Honglin Han, Chengguo Yin |
| 2024 | ACL | Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors. | Mengge Xue, Zhenyu Hu, Liqun Liu, Kuo Liao, Shuang Li, Honglin Han, Meng Zhao, Chengguo Yin |
| 2023 | ACL | TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. | Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan |
| 2022 | COMPSAC | Related Questions Retrieval Model in Stack Overflow based on Semantic Matching. | Zishan Qin, Yimin Wu, Jiayan Pei, Jinwei Lu, Shizhao Huang, Liqun Liu |
| 2022 | KDD | Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling. | Zhenhui Xu, Meng Zhao, Liqun Liu, Lei Xiao, Xiaopeng Zhang, Bifeng Zhang |
| 2019 | ACL | NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit. | Liqun Liu, Funan Mu, Pengyu Li, Xin Mu, Jing Tang, Xingsheng Ai, Ran Fu, Lifeng Wang, Xing Zhou |
| 2007 | COMPSAC | A Study on Distributed Resource Information Service in Grid System. | Jiuyuan Huo, Liqun Liu, Li Liu, Yi Yang, Lian Li |
| 2007 | SNPD | Selection of the Order of Autoregressive Models for Host Load Prediction in Grid. | Jiuyuan Huo, Liqun Liu, Li Liu, Yi Yang, Lian Li |