Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. - Yongchang Hao; Shilin He; Wenxiang Jiao; Zhaopeng Tu; Michael R. Lyu; Xing Wang 007 (NAACL-HLT, 2021)

Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. - Wenxuan Wang 001; Wenxiang Jiao; Yongchang Hao; Xing Wang 007; Shuming Shi 001; Zhaopeng Tu; Michael R. Lyu (ACL (1), 2022)

Teacher Forcing Recovers Reward Functions for Text Generation. - Yongchang Hao; Yuxin Liu; Lili Mou (NeurIPS, 2022)

An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. - Yuqiao Wen; Yongchang Hao; Yanshuai Cao; Lili Mou (ICLR, 2023)

LLMR: Knowledge Distillation with a Large Language Model-Induced Reward. - Dongheng Li; Yongchang Hao; Lili Mou (LREC/COLING, 2024)

Flora: Low-Rank Adapters Are Secretly Gradient Compressors. - Yongchang Hao; Yanshuai Cao; Lili Mou (ICML, 2024)

Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks. - Yongchang Hao; Yanshuai Cao; Lili Mou (CoRR, 2024)

NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks. - Yongchang Hao; Yanshuai Cao; Lili Mou (CoRR, 2024)

Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models. - Jiahui Li; Yongchang Hao; Haoyu Xu; Xing Wang; Yu Hong (COLING, 2025)

Radar: Fast Long-Context Decoding for Any Transformer. - Yongchang Hao; Mengyao Zhai; Hossein Hajimirsadeghi; Sepidehsadat Hosseini; Frederick Tung (ICLR, 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)

ULPT: Prompt Tuning with Ultra-Low-Dimensional Optimization. - Zijun Wu; Yongchang Hao; Lili Mou (CoRR, 2025)