Yongchang Hao

22 papers A* 4B 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
Ultra-Low-Dimensional Prompt Tuning via Random Projection.
EACL (Volume 1: Long Papers)
Zijun Wu, Yongchang Hao, Lili Mou
2025 B conf
Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models.
COLING
Jiahui Li, Yongchang Hao, Haoyu Xu, Xing Wang, Yu Hong
2025 A* conf
Radar: Fast Long-Context Decoding for Any Transformer.
ICLR
Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung
2025 J jnl
Radar: Fast Long-Context Decoding for Any Transformer.
CoRR
Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung
2025 J jnl
The AAV Tracking: Fusion and Adversarial of Global and Local Information.
IEEE Signal Process. Lett.
Yuhui Zhao, Ruifeng Yang, Chenxia Guo, Yongchang Hao
2025 J jnl
TokMem: Tokenized Procedural Memory for Large Language Models.
CoRR
Zijun Wu, Yongchang Hao, Lili Mou
2025 J jnl
ULPT: Prompt Tuning with Ultra-Low-Dimensional Optimization.
CoRR
Zijun Wu, Yongchang Hao, Lili Mou
2024 J jnl
Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models.
CoRR
Jiahui Li, Yongchang Hao, Haoyu Xu, Xing Wang, Yu Hong
2024 A* conf
Flora: Low-Rank Adapters Are Secretly Gradient Compressors.
ICML
Yongchang Hao, Yanshuai Cao, Lili Mou
2024 J jnl
Flora: Low-Rank Adapters Are Secretly Gradient Compressors.
CoRR
Yongchang Hao, Yanshuai Cao, Lili Mou
2024 J jnl
Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks.
CoRR
Yongchang Hao, Yanshuai Cao, Lili Mou
2024 — conf
LLMR: Knowledge Distillation with a Large Language Model-Induced Reward.
LREC/COLING
Dongheng Li, Yongchang Hao, Lili Mou
2024 J jnl
LLMR: Knowledge Distillation with a Large Language Model-Induced Reward.
CoRR
Dongheng Li, Yongchang Hao, Lili Mou
2024 J jnl
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks.
CoRR
Yongchang Hao, Yanshuai Cao, Lili Mou
2023 A* conf
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation.
ICLR
Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
2022 J jnl
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation.
CoRR
Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
2022 A* conf
Teacher Forcing Recovers Reward Functions for Text Generation.
NeurIPS
Yongchang Hao, Yuxin Liu, Lili Mou
2022 J jnl
Teacher Forcing Recovers Reward Functions for Text Generation.
CoRR
Yongchang Hao, Yuxin Liu, Lili Mou
2022 — conf
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation.
ACL (1)
Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu
2022 J jnl
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation.
CoRR
Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu
2021 — conf
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation.
NAACL-HLT
Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang
2020 J jnl
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation.
CoRR
Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang