Xing Li

According to our database, Xing Li authored at least 32 papers between 2021 and 2025.

Collaborative distances:

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

2025

Behavioral Fingerprinting of Large Language Models.

Zehua Pei, Hui-Ling Zhen, Yingchun Zhang, Zhiyuan Yang, Xing Li, Xianzhi Yu, Mingxuan Yuan, Bei Yu

CoRR, September, 2025

Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling.

Shengyin Sun, Yiming Li, Xing Li, Yingzhao Lian, Weizhe Lin, Hui-Ling Zhen, Zhiyuan Yang, Chen Chen, Xianzhi Yu, Mingxuan Yuan, Chen Ma

CoRR, September, 2025

A Delay-Driven Iterative Technology Mapping Framework.

Junfeng Liu, Liwei Ni, Lei Chen, Xing Li, Qinghua Zhao, Xingquan Li, Shuai Ma

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2025

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling.

Weizhe Lin, Xing Li, Zhiyuan Yang, Xiaojin Fu, Hui-Ling Zhen, Yaoyuan Wang, Xianzhi Yu, Wulong Liu, Xiaosong Li, Mingxuan Yuan

CoRR, May, 2025

Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging.

Han Wu, Yuxuan Yao, Shuqi Liu, Zehua Liu, Xiaojin Fu, Xiongwei Han, Xing Li, Hui-Ling Zhen, Tao Zhong, Mingxuan Yuan

CoRR, March, 2025

SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention.

Hong Yankun, Xing Li, Hui-Ling Zhen, Xianzhi Yu, Wulong Liu, Mingxuan Yuan

CoRR, February, 2025

KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference.

Xing Li, Zeyu Xing, Yiming Li, Linping Qu, Hui-Ling Zhen, Wulong Liu, Yiwu Yao, Sinno Jialin Pan, Mingxuan Yuan

CoRR, February, 2025

AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference.

Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye Hao, Mingxuan Yuan, Bin Li

CoRR, February, 2025

A Unified Parallel Framework for LUT Mapping and Logic Optimization.

Tianji Liu, Yang Sun, Lei Chen, Xing Li, Mingxuan Yuan, Evangeline F. Y. Young

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2025

Circuit Transformer: A Transformer That Preserves Logical Equivalence.

Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Circuit Synthesis based on Hierarchical Conditional Diffusion.

Xinyi Zhou, Xing Li, Yingzhao Lian, Yiwen Wang, Lei Chen, Mingxuan Yuan, Jianye Hao, Guangyong Chen, Pheng-Ann Heng

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

Maximum Fanout-Free Window Enumeration: Towards Multi-Output Sub-Structure Synthesis.

Ruofei Tang, Xuliang Zhu, Lei Chen, Xing Li, Xin Huang, Mingxuan Yuan, Jianliang Xu

Proceedings of the Design, Automation & Test in Europe Conference, 2025

ELF: Efficient Logic Synthesis by Pruning Redundancy in Refactoring.

Dimitris Tsaras, Xing Li, Lei Chen, Zhiyao Xie, Mingxuan Yuan

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

EDGE: DBMS-Empowered Boolean Decomposition for GIG Synthesis.

Ruofei Tang, Xuliang Zhu, Xinyi Zhang, Lei Chen, Xing Li, Mingxuan Yuan, Jianliang Xu

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization.

Faezeh Faez, Raika Karimi, Yingxue Zhang, Xing Li, Lei Chen, Mingxuan Yuan, Mahdi Biparva

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation.

Xinyi Zhou, Xing Li, Yingzhao Lian, Yiwen Wang, Lei Chen, Mingxuan Yuan, Jianye Hao, Guangyong Chen, Pheng-Ann Heng

CoRR, 2024

Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers.

Raika Karimi, Faezeh Faez, Yingxue Zhang, Xing Li, Lei Chen, Mingxuan Yuan, Mahdi Biparva

CoRR, 2024

Logic Synthesis with Generative Deep Neural Networks.

Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang

CoRR, 2024

Circuit Transformer: End-to-end Circuit Design by Predicting the Next Gate.

Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang

CoRR, 2024

Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework.

Zhihai Wang, Jie Wang, Qingyue Yang, Yinqi Bai, Xing Li, Lei Chen, Jianye Hao, Mingxuan Yuan, Bin Li, Yongdong Zhang, Feng Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design.

Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu

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

RTLRewriter: Methodologies for Large Models aided RTL Code Optimization.

Xufeng Yao, Yiwen Wang, Xing Li, Yingzhao Lian, Ran Chen, Lei Chen, Mingxuan Yuan, Hong Xu, Bei Yu

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

FineMap: A Fine-grained GPU-parallel LUT Mapping Engine.

Tianji Liu, Lei Chen, Xing Li, Mingxuan Yuan, Evangeline F. Y. Young

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

SGDP: A Stream-Graph Neural Network Based Data Prefetcher.

Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, Mingxuan Yuan

Proceedings of the International Joint Conference on Neural Networks, 2023

AiMap: Learning to Improve Technology Mapping for ASICs via Delay Prediction.

Junfeng Liu, Liwei Ni, Xingquan Li, Min Zhou, Lei Chen, Xing Li, Qinghua Zhao, Shuai Ma

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing.

Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

EffiSyn: Efficient Logic Synthesis with Dynamic Scoring and Pruning.

Xing Li, Lei Chen, Jiantang Zhang, Shuang Wen, Weihua Sheng, Yu Huang, Mingxuan Yuan

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

CPP: A Multi-Level Circuit Partitioning Predictor for Hardware Verification Systems.

Xinshi Zang, Lei Chen, Xing Li, Wilson W. K. Thong, Weihua Sheng, Evangeline F. Y. Young, Martin D. F. Wong

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

A Database Dependent Framework for K-Input Maximum Fanout-Free Window Rewriting.

Xuliang Zhu, Ruofei Tang, Lei Chen, Xing Li, Xin Huang, Mingxuan Yuan, Weihua Sheng, Jianliang Xu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Lightweight Structural Choices Operator for Technology Mapping.

Antoine Grosnit, Matthieu Zimmer, Rasul Tutunov, Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Haitham Bou-Ammar

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

HIMap: a heuristic and iterative logic synthesis approach.

Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Hongli Yan, Yupeng Wan

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Block Access Pattern Discovery via Compressed Full Tensor Transformer.

Xing Li, Qiquan Shi, Gang Hu, Lei Chen, Hui Mao, Yiyuan Yang, Mingxuan Yuan, Jia Zeng, Zhuo Cheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021