Yongchang Hao

According to our database, Yongchang Hao authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

The AAV Tracking: Fusion and Adversarial of Global and Local Information.

Yuhui Zhao, Ruifeng Yang, Chenxia Guo, Yongchang Hao

IEEE Signal Process. Lett., 2025

Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models.

Jiahui Li, Yongchang Hao, Haoyu Xu, Xing Wang, Yu Hong

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks.

Yongchang Hao, Yanshuai Cao, Lili Mou

CoRR, 2024

Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks.

Yongchang Hao, Yanshuai Cao, Lili Mou

CoRR, 2024

Flora: Low-Rank Adapters Are Secretly Gradient Compressors.

Yongchang Hao, Yanshuai Cao, Lili Mou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLMR: Knowledge Distillation with a Large Language Model-Induced Reward.

Dongheng Li, Yongchang Hao, Lili Mou

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation.

Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Teacher Forcing Recovers Reward Functions for Text Generation.

Yongchang Hao, Yuxin Liu, Lili Mou

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

Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation.

Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation.

Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021