Wei Wu

According to our database, Wei Wu authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

2026

Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer.

Tianfu Wang, Zhezheng Hao, Yin Wu, Wei Wu, Qiang Lin, Hande Dong, Nicholas Jing Yuan, Hui Xiong

CoRR, April, 2026

EvoDiagram: Agentic Editable Diagram Creation via Design Expertise Evolution.

Tianfu Wang, Leilei Ding, Ziyang Tao, Yi Zhan, Zhiyuan Ma, Wei Wu, Yuxuan Lei, Yuan Feng, Junyang Wang, Yin Wu, Yizhao Xu, Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Yanyong Zhang, Hui Xiong

CoRR, April, 2026

Aligning Large Language Models with Searcher Preferences.

Wei Wu, Peilun Zhou, Liyi Chen, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Hui Xiong

CoRR, March, 2026

Turning Semantics into Topology: LLM-Driven Attribute Augmentation for Collaborative Filtering.

Junjie Meng, Ranxu Zhang, Wei Wu, Rui Zhang, Chuan Qin, Qi Zhang, Qi Liu, Hui Xiong, Chao Wang

CoRR, February, 2026

Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models.

Wei Wu, Liyi Chen, Congxi Xiao, Tianfu Wang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Hui Xiong

CoRR, January, 2026

2025

Virne: A Comprehensive Benchmark for Deep RL-based Network Resource Allocation in NFV.

Tianfu Wang, Liwei Deng, Xi Chen, Junyang Wang, Huiguo He, Leilei Ding, Wei Wu, Qilin Fan, Hui Xiong

CoRR, July, 2025

GENERator: A Long-Context Generative Genomic Foundation Model.

Wei Wu, Qiuyi Li, Mingyang Li, Kun Fu, Fuli Feng, Jieping Ye, Hui Xiong, Zheng Wang

CoRR, February, 2025

Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs.

Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection.

Wei Wu, Zhuoshi Pan, Kun Fu, Chao Wang, Liyi Chen, Yunchu Bai, Tianfu Wang, Zheng Wang, Hui Xiong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ProtCLIP: Function-Informed Protein Multi-Modal Learning.

Hanjing Zhou, Mingze Yin, Wei Wu, Mingyang Li, Kun Fu, Jintai Chen, Jian Wu, Zheng Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer.

Mingze Yin, Hanjing Zhou, Yiheng Zhu, Jialu Wu, Wei Wu, Mingyang Li, Kun Fu, Zheng Wang, Chang-Yu Hsieh, Tingjun Hou, Jian Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection.

Wei Wu, Zhuoshi Pan, Chao Wang, Liyi Chen, Yunchu Bai, Kun Fu, Zheng Wang, Hui Xiong

CoRR, 2024

Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding.

Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang

CoRR, 2024

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations.

Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Tackling Uncertain Correspondences for Multi-Modal Entity Alignment.

Liyi Chen, Ying Sun, Shengzhe Zhang, Yuyang Ye, Wei Wu, Hui Xiong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Preference or Intent? Double Disentangled Collaborative Filtering.

Chao Wang, Hengshu Zhu, Dazhong Shen, Wei Wu, Hui Xiong

CoRR, 2023