Zehua Pei

20 papers A* 2A 2B 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 — conf
DiLA: Enhancing LLM Tool Learning with Differential Logic Layer.
KDD (1)
Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu
2026 J jnl
MemDLM: Memory-Enhanced DLM Training.
CoRR
Zehua Pei, Hui-Ling Zhen, Weizhe Lin, Sinno Jialin Pan, Yunhe Wang, Mingxuan Yuan, Bei Yu
2026 J jnl
ReThinker: Scientific Reasoning by Rethinking with Guided Reflection and Confidence Control.
CoRR
Zhentao Tang, Yuqi Cui, Shixiong Kai, Wenqian Zhao, Ke Ye, Xing Li, Anxin Tian, Zehua Pei, Hui-Ling Zhen, Shoubo Hu, Xiaoguang Li, Yunhe Wang, Mingxuan Yuan
2025 J jnl
Behavioral Fingerprinting of Large Language Models.
CoRR
Zehua Pei, Hui-Ling Zhen, Yingchun Zhang, Zhiyuan Yang, Xing Li, Xianzhi Yu, Mingxuan Yuan, Bei Yu
2025 J jnl
CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference.
CoRR
Zehua Pei, Lancheng Zou, Hui-Ling Zhen, Xianzhi Yu, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu
2025 J jnl
PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models.
CoRR
Lancheng Zou, Shuo Yin, Zehua Pei, Tsung-Yi Ho, Farzan Farnia, Bei Yu
2025 J jnl
PreMoe: Lightening MoEs on Constrained Memory by Expert Pruning and Retrieval.
CoRR
Zehua Pei, Yingchun Zhang, Hui-Ling Zhen, Xianzhi Yu, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu
2025 J jnl
SCOPE: Prompt Evolution for Enhancing Agent Effectiveness.
CoRR
Zehua Pei, Hui-Ling Zhen, Shixiong Kai, Sinno Jialin Pan, Yunhe Wang, Mingxuan Yuan, Bei Yu
2024 J jnl
A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution.
ACM Comput. Surv.
Juncheng Li, Zehua Pei, Wenjie Li, Guangwei Gao, Longguang Wang, Yingqian Wang, Tieyong Zeng
2024 A* conf
BetterV: Controlled Verilog Generation with Discriminative Guidance.
ICML
Zehua Pei, Hui-Ling Zhen, Mingxuan Yuan, Yu Huang, Bei Yu
2024 J jnl
BetterV: Controlled Verilog Generation with Discriminative Guidance.
CoRR
Zehua Pei, Hui-Ling Zhen, Mingxuan Yuan, Yu Huang, Bei Yu
2024 A conf
CBTune: Contextual Bandit Tuning for Logic Synthesis.
DATE
Fangzhou Liu, Zehua Pei, Ziyang Yu, Haisheng Zheng, Zhuolun He, Tinghuan Chen, Bei Yu
2024 J jnl
FuseGPT: Learnable Layers Fusion of Generative Pre-trained Transformers.
CoRR
Zehua Pei, Hui-Ling Zhen, Xianzhi Yu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu
2024 B conf
LSTP: A Logic Synthesis Timing Predictor.
ASPDAC
Haisheng Zheng, Zhuolun He, Fangzhou Liu, Zehua Pei, Bei Yu
2024 J jnl
Quantization via Distillation and Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zehua Pei, Xufeng Yao, Wenqian Zhao, Bei Yu
2024 J jnl
SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning.
CoRR
Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu
2023 A conf
AlphaSyn: Logic Synthesis Optimization with Efficient Monte Carlo Tree Search.
ICCAD
Zehua Pei, Fangzhou Liu, Zhuolun He, Guojin Chen, Haisheng Zheng, Keren Zhu, Bei Yu
2023 A* conf
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields.
DAC
Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong
2023 J jnl
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields.
CoRR
Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong
2021 J jnl
From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution.
CoRR
Juncheng Li, Zehua Pei, Tieyong Zeng