Zongsheng Cao

According to our database, Zongsheng Cao authored at least 25 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CAKGE: Context-Aware Adaptive Learning for Dynamic Knowledge Graph Embeddings.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

DMutDE: Dual-View Mutual Distillation Framework for Knowledge Graph Embeddings.

Ruizhou Liu, Zhe Wu, Yiling Wu, Zongsheng Cao, Qianqian Xu, Qingming Huang

IEEE Trans. Neural Networks Learn. Syst., January, 2026

RaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation.

Yixuan Huang, Jiawei Chen, Shengfan Zhang, Zongsheng Cao

Proceedings of the ACM Web Conference 2026, 2026

FlowSearch: Advancing Deep Research with Dynamic Structured Knowledge Flow.

Yusong Hu, Runmin Ma, Yue Fan, Jinxin Shi, Zongsheng Cao, Yuhao Zhou, Jiakang Yuan, Shuaiyu Zhang, Shiyang Feng, Xiangchao Yan, Shufei Zhang, Wenlong Zhang, Lei Bai, Bo Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

NumCoKE: Ordinal-Aware Numerical Reasoning over Knowledge Graphs with Mixture-of-Experts and Contrastive Learning.

Ming Yin, Zongsheng Cao, Qiqing Xia, Chenyang Tu, Neng Gao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ViG-RAG: Video-aware Graph Retrieval-Augmented Generation via Temporal and Semantic Hybrid Reasoning.

Zongsheng Cao, Anran Liu, Yangfan He, Jing Li, Bo Zhang, Zigan Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PurifyGen: A Risk-Discrimination and Semantic-Purification Model for Safe Text-to-Image Generation.

Zongsheng Cao, Yangfan He, Anran Liu, Jun Xie, Feng Chen, Zepeng Wang

CoRR, December, 2025

TV-RAG: A Temporal-aware and Semantic Entropy-Weighted Framework for Long Video Retrieval and Understanding.

Zongsheng Cao, Yangfan He, Anran Liu, Feng Chen, Zepeng Wang, Jun Xie

CoRR, December, 2025

CoFi-Dec: Hallucination-Resistant Decoding via Coarse-to-Fine Generative Feedback in Large Vision-Language Models.

Zongsheng Cao, Yangfan He, Anran Liu, Jun Xie, Feng Chen, Zepeng Wang

CoRR, December, 2025

SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Knowl. Data Eng., November, 2025

DualResearch: Entropy-Gated Dual-Graph Retrieval for Answer Reconstruction.

Jinxin Shi, Zongsheng Cao, Runmin Ma, Yusong Hu, Jie Zhou, Xin Li, Lei Bai, Liang He, Bo Zhang

CoRR, October, 2025

FlowSearch: Advancing deep research with dynamic structured knowledge flow.

Yusong Hu, Runmin Ma, Yue Fan, Jinxin Shi, Zongsheng Cao, Yuhao Zhou, Jiakang Yuan, Xiangchao Yan, Wenlong Zhang, Lei Bai, Bo Zhang

CoRR, October, 2025

GAHE: Geometry-Aware Embedding for Hyper-Relational Knowledge Graph Representation.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

ACM Trans. Multim. Comput. Commun. Appl., July, 2025

SGKGE: Semantically Guided Knowledge Graph Embeddings via Complementary Latent Representations.

Ruizhou Liu, Zongsheng Cao, Zhe Wu, Yiling Wu, Qianqian Xu, Qingming Huang

IEEE Trans. Neural Networks Learn. Syst., June, 2025

OTRec: Cross-Modal Learning for Multimodal Recommendation via Optimal Transport.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Multim., 2025

TV-RAG: A Temporal-aware and Semantic Entropy-Weighted Framework for Long Video Retrieval and Understanding.

Zongsheng Cao, Yangfan He, Anran Liu, Jun Xie, Feng Chen, Zhepeng Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CoFi-Dec: Hallucination-Resistant Decoding via Coarse-to-Fine Generative Feedback in Large Vision-Language Models.

Zongsheng Cao, Yangfan He, Anran Liu, Jun Xie, Zhepeng Wang, Feng Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

PurifyGen: A Risk-Discrimination and Semantic-Purification Model for Safe Text-to-Image Generation.

Zongsheng Cao, Yangfan He, Anran Liu, Jun Xie, Zhepeng Wang, Feng Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

DiffusionE: Reasoning on Knowledge Graphs via Diffusion-based Graph Neural Networks.

Zongsheng Cao, Jing Li, Zigan Wang, Jinliang Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Multimodal Knowledge Graph Embeddings via Lorentz-based Contrastive Learning.

Ruizhou Liu, Zongsheng Cao, Zhe Wu, Qianqian Xu, Qingming Huang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs.

Wenxin Ni, Qianqian Xu, Yangbangyan Jiang, Zongsheng Cao, Xiaochun Cao, Qingming Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ER: Equivariance Regularizer for Knowledge Graph Completion.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Geometry Interaction Knowledge Graph Embeddings.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Dual Quaternion Knowledge Graph Embeddings.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021