Huaijin Wu

According to our database, Huaijin Wu authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

JTok: On Token Embedding as another Axis of Scaling Law via Joint Token Self-modulation.

Yebin Yang, Huaijin Wu, Fu Guo, Lin Yao, Xiaohan Qin, Jingzhi Wang, Debing Zhang, Junchi Yan

CoRR, February, 2026

2025

Reinvent the Operation not the Architecture: Quantum-inspired High-order Product for Compatible and Improved LLMs Training.

Hao Xiong, Yebin Yang, Huaijin Wu, Xiaoqiu Zhong, Yehui Tang, Zhuo Xia, Xiaoxing Wang, Junchi Yan

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

HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing.

Huaijin Wu, Lianqiang Li, Hantao Huang, Tu Yi, Jihang Zhang, Minghui Yu, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation.

Xinhao Zheng, Yang Li, Cunxin Fan, Huaijin Wu, Xinhao Song, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation.

Huaijin Wu, Xinyu Ye, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model.

Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Quantum 3D Graph Learning with Applications to Molecule Embedding.

Ge Yan, Huaijin Wu, Junchi Yan

Proceedings of the International Conference on Machine Learning, 2023

2022

Molecule Generation for Drug Design: a Graph Learning Perspective.

Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song

CoRR, 2022