Wencong Zeng

According to our database, Wencong Zeng authored at least 8 papers between 2025 and 2026.

Collaborative distances:

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

2026

Structurally Aligned Subtask-Level Memory for Software Engineering Agents.

Kangning Shen, Jingyuan Zhang, Chenxi Sun, Wencong Zeng, Yang Yue

CoRR, February, 2026

GISA: A Benchmark for General Information-Seeking Assistant.

Yutao Zhu, Xingshuo Zhang, Maosen Zhang, Jiajie Jin, Liancheng Zhang, Xiaoshuai Song, Kangzhi Zhao, Wencong Zeng, Ruiming Tang, Han Li, Ji-Rong Wen, Zhicheng Dou

CoRR, February, 2026

CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security Vulnerability.

Xianzhen Luo, Jingyuan Zhang, Shiqi Zhou, Rain Huang, Chuan Xiao, Qingfu Zhu, Zhiyuan Ma, Xing Yue, Yang Yue, Wencong Zeng, Wanxiang Che

CoRR, February, 2026

OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service.

Zhipeng Wei, Kuo Cai, Junda She, Jie Chen, Minghao Chen, Yang Zeng, Qiang Luo, Wencong Zeng, Ruiming Tang, Kun Gai, Guorui Zhou

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation.

Hao Jiang, Guoquan Wang, Donglin Zhou, Sheng Yu, Yang Zeng, Wencong Zeng, Kun Gai, Guorui Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Efficient Training of Diffusion Mixture-of-Experts Models: A Practical Recipe.

Yahui Liu, Yang Yue, Jingyuan Zhang, Chenxi Sun, Yang Zhou, Wencong Zeng, Ruiming Tang, Guorui Zhou

CoRR, December, 2025

A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation.

Hao Jiang, Guoquan Wang, Sheng Yu, Yang Zeng, Wencong Zeng, Guorui Zhou

CoRR, November, 2025

FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation.

Guoquan Wang, Qiang Luo, Weisong Hu, Pengfei Yao, Wencong Zeng, Guorui Zhou, Kun Gai

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025