Ze-Feng Gao - RankMe

31 papers A* 1B 1Journal 22Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discovering physical laws with parallel symbolic enumeration. Nat. Comput. Sci. Kai Ruan, Yilong Xu, Ze-Feng Gao, Yang Liu, Yike Guo, Ji-Rong Wen, Hao Sun
2026	J	`jnl`	Enabling efficient low-bit quantization based on matrix product operators for KV cache compression. Neural Networks Jia-Qi Wang, Xiao-Qi Han, Peng-Jie Guo, Rong-Qiang He, Ze-Feng Gao, Zhong-Yi Lu
2025	J	`jnl`	HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction. CoRR Xiao-Qi Han, Ze-Feng Gao, Xin-De Wang, Zhenfeng Ouyang, Peng-Jie Guo, Zhong-Yi Lu
2025	J	`jnl`	InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials. CoRR Xiao-Qi Han, Peng-Jie Guo, Ze-Feng Gao, Hao Sun, Zhong-Yi Lu
2025	J	`jnl`	Perovskite-R1: A Domain-Specialized LLM for Intelligent Discovery of Precursor Additives and Experimental Design. CoRR Xin-De Wang, Zhi-Rui Chen, Peng-Jie Guo, Ze-Feng Gao, Cheng Mu, Zhong-Yi Lu
2025	J	`jnl`	PhononBench:A Large-Scale Phonon-Based Benchmark for Dynamical Stability in Crystal Generation. CoRR Xiao-Qi Han, Peng-Jie Guo, Ze-Feng Gao, Zhong-Yi Lu
2025	J	`jnl`	Strong phonon-mediated high temperature superconductivity in Li CoRR Zhenfeng Ouyang, Bo-Wen Yao, Xiao-Qi Han, Peng-Jie Guo, Ze-Feng Gao, Zhong-Yi Lu
2024	J	`jnl`	AI-accelerated discovery of high critical temperature superconductors. CoRR Xiao-Qi Han, Zhenfeng Ouyang, Peng-Jie Guo, Hao Sun, Ze-Feng Gao, Zhong-Yi Lu
2024	J	`jnl`	AI-driven inverse design of materials: Past, present and future. CoRR Xiao-Qi Han, Xin-De Wang, Meng-Yuan Xu, Zhen Feng, Bo-Wen Yao, Peng-Jie Guo, Ze-Feng Gao, Zhong-Yi Lu
2024	—	`conf`	Compression Image Dataset Based on Multiple Matrix Product States. FICC (2) Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhi-Yuan Xie, Ji-Rong Wen, Zhong-Yi Lu
2024	J	`jnl`	Discovering symbolic expressions with parallelized tree search. CoRR Kai Ruan, Ze-Feng Gao, Yike Guo, Hao Sun, Ji-Rong Wen, Yang Liu
2024	—	`conf`	Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. LREC/COLING Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2024	—	`conf`	Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank. LREC/COLING Peiyu Liu, Ze-Feng Gao, Xiao Zhang, Wayne Xin Zhao, Ji-Rong Wen
2024	A*	`conf`	Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation. NeurIPS Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao
2024	J	`jnl`	Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation. CoRR Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao
2024	—	`conf`	Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. ACL (1) Peiyu Liu, Ze-Feng Gao, Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen
2024	J	`jnl`	Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. CoRR Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen
2024	J	`jnl`	YuLan: An Open-source Large Language Model. CoRR Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen
2023	J	`jnl`	AI-accelerated Discovery of Altermagnetic Materials. CoRR Ze-Feng Gao, Shuai Qu, Bocheng Zeng, Yang Liu, Ji-Rong Wen, Hao Sun, Peng-Jie Guo, Zhong-Yi Lu
2023	J	`jnl`	Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2023	—	`conf`	Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing. EMNLP (Findings) Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Scaling Pre-trained Language Models to Deeper via Parameter-efficient Architecture. CoRR Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Wayne Xin Zhao, Ji-Rong Wen
2023	—	`conf`	Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization. ACL (1) Ze-Feng Gao, Kun Zhou, Peiyu Liu, Wayne Xin Zhao, Ji-Rong Wen
2022	B	`conf`	Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. COLING Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen
2022	J	`jnl`	Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. CoRR Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen
2021	—	`conf`	Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. ACL/IJCNLP (1) Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen
2021	J	`jnl`	Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. CoRR Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen
2020	J	`jnl`	A Model Compression Method With Matrix Product Operators for Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. Xingwei Sun, Ze-Feng Gao, Zhong-Yi Lu, Junfeng Li, Yonghong Yan
2020	J	`jnl`	A Model Compression Method with Matrix Product Operators for Speech Enhancement. CoRR Xingwei Sun, Ze-Feng Gao, Zhong-Yi Lu, Junfeng Li, Yonghong Yan
2020	J	`jnl`	Compressing LSTM Networks by Matrix Product Operators. CoRR Ze-Feng Gao, Xingwei Sun, Lan Gao, Junfeng Li, Zhong-Yi Lu
2019	J	`jnl`	Compressing deep neural networks by matrix product operators. CoRR Ze-Feng Gao, Song Cheng, Rong-Qiang He, Zhi-Yuan Xie, Hui-Hai Zhao, Zhong-Yi Lu, Tao Xiang