Congcong Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
17
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICDE | OEPO: Online Experience-based Preference Optimization for CTR Prediction. | Zhichao Liao, Ziheng Ni, Congcong Liu, Zhiwei Fang, Changping Peng |
| 2026 | WWW | A Generative Contextual Comprehension Paradigm for Takeout Ranking Model. | Ziheng Ni, Congcong Liu, Cai Shang, Yiming Sun, Junjie Li, Zhiwei Fang, Guangpeng Chen, Li Jian, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao |
| 2026 | SIGIR | DPEO: Dynamic Preference Evolution Optimization for Self-Evolving CTR Prediction. | Kun Yao, Congcong Liu, Ziheng Ni, Wenlong Chen, Changping Peng, Ching Law |
| 2026 | SIGIR | AIPO: Adaptive Anchored Intent-aware Policy Optimization for Generative Recommendation. | Kun Yao, Congcong Liu, Ziheng Ni, Cai Shang, Wenlong Chen, Changping Peng, Ching Law |
| 2025 | EMNLP | HierDiffuse: Progressive Diffusion for Robust Interest Fusion in CTR Prediction. | Ziheng Ni, Congcong Liu, Yuying Chen, Zhiwei Fang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao |
| 2025 | KDD | UniERF: A Uniform Embedding-based Retrieval Framework for E-commerce Search. | Hao Jiang, Xiaoyu He, Fanyi Qu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao |
| 2025 | MICCAI | Towards Globally Predictable k-Space Interpolation: A White-Box Transformer Approach. | Chen Luo, Qiyu Jin, Taofeng Xie, Xuemei Wang, Huayu Wang, Congcong Liu, Liming Tang, Guoqing Chen, Zhuo-Xu Cui, Dong Liang |
| 2025 | RecSys | Stream Normalization for CTR Prediction. | Yizhou Sang, Congcong Liu, Yuying Chen, Zhiwei Fang, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao |
| 2025 | SIGIR | Post-event Modeling via Causal Optimal Transport for CTR Prediction. | Yizhou Sang, Congcong Liu, Yuying Chen, Zhiwei Fang, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao |
| 2024 | AAAI | Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction. | Jian Zhu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao |
| 2023 | CIKM | BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation. | Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao |
| 2023 | ICIP | Dynamic Dual-Graph Fusion Convolutional Network for Alzheimer's Disease Diagnosis. | Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang |
| 2023 | RecSys | Loss Harmonizing for Multi-Scenario CTR Prediction. | Congcong Liu, Liang Shi, Pei Wang, Fei Teng, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao |
| 2023 | WWW | Confidence Ranking for CTR Prediction. | Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao |
| 2023 | SIGIR | Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. | Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao |
| 2022 | IROS | HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction. | Yuying Chen, Congcong Liu, Xiaodong Mei, Bertram E. Shi, Ming Liu |
| 2022 | RecSys | Position Awareness Modeling with Knowledge Distillation for CTR Prediction. | Congcong Liu, Yuejiang Li, Jian Zhu, Fei Teng, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao |
| 2021 | ICRA | AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention. | Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi |
| 2020 | BMVC | CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation. | Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu |
| 2019 | ETRA | A gaze model improves autonomous driving. | Congcong Liu, Yuying Chen, Lei Tai, Haoyang Ye, Ming Liu, Bertram E. Shi |
| 2019 | IROS | Gaze Training by Modulated Dropout Improves Imitation Learning. | Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi |
| 2019 | IROS | Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective. | Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu |
| 2019 | UIC | A Context-Aware Map Matching Method Based on Supported Degree. | Congcong Liu, Hengxin Chen, Mingqi Gao |
| 2018 | ICNC | Machine Learning and Knowledge Discovery in Analog Circuit Fault Detection. | Chijian Zhang, Junkai Li, Yanxi Zhang, Congcong Liu |
| 2006 | IJCNN | Getting parameters in power systems based on adaptive linear neural network. | Zhenfu Bi, Fusheng Wang, Congcong Liu |