Shilei Liu - RankMe

58 papers A* 2A 5B 1C 1Journal 30Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	COMI: Coarse-to-fine Context Compression via Marginal Information Gain. CoRR Jiwei Tang, Shilei Liu, Zhicheng Zhang, Yujin Yuan, Libin Zheng, Wenbo Su, Bo Zheng
2026	J	`jnl`	CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling. CoRR Runsong Zhao, Shilei Liu, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Yujin Yuan, Tong Xiao, Jingbo Zhu, Wenbo Su, Bo Zheng
2026	J	`jnl`	Data Distribution Matters: A Data-Centric Perspective on Context Compression for Large Language Model. CoRR Kangtao Lv, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Shilei Liu, Yongwei Wang, Yujin Yuan, Wenbo Su, Bo Zheng
2026	J	`jnl`	Expert Divergence Learning for MoE-based Language Models. CoRR Jiaang Li, Haibin Chen, Langming Liu, Yujin Yuan, Yadao Wang, Yizhen Zhang, Chengting Yu, Xin Tong, Weidong Zhang, Shilei Liu, Wenbo Su, Bo Zheng
2026	J	`jnl`	PoC: Performance-oriented Context Compression for Large Language Models via Performance Prediction. CoRR Runsong Zhao, Shilei Liu, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Yujin Yuan, Tong Xiao, Jingbo Zhu, Wenbo Su, Bo Zheng
2026	J	`jnl`	PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning. CoRR Langming Liu, Kangtao Lv, Haibin Chen, Weidong Zhang, Yejing Wang, Shilei Liu, Xin Tong, Yujin Yuan, Yongwei Wang, Wenbo Su, Bo Zheng
2026	J	`jnl`	Read As Human: Compressing Context via Parallelizable Close Reading and Skimming. CoRR Jiwei Tang, Shilei Liu, Zhicheng Zhang, Qingsong Lv, Runsong Zhao, Tingwei Lu, Langming Liu, Haibin Chen, Yujin Yuan, Hai-Tao Zheng, Wenbo Su, Bo Zheng
2026	A	`conf`	Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. WSDM Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng
2025	—	`conf`	ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. KDD (2) Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng
2025	J	`jnl`	ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. CoRR Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng
2025	A	`conf`	ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. CIKM Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng
2025	J	`jnl`	ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. CoRR Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Zhao-Xiang Zhang, Bo Zheng
2025	A*	`conf`	How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models. EMNLP Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, Wenbo Su, Bo Zheng
2025	J	`jnl`	How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models. CoRR Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, Wenbo Su, Bo Zheng
2025	—	`conf`	UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. KDD (2) Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. CoRR Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. CoRR Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng
2024	A*	`conf`	Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development. ICRA Runkai Zhao, Yuwen Heng, Heng Wang, Yuanda Gao, Shilei Liu, Changhao Yao, Jiawen Chen, Weidong Cai
2024	J	`jnl`	End-to-End Paired Ambisonic-Binaural Audio Rendering. IEEE CAA J. Autom. Sinica Yin Zhu, Qiuqiang Kong, Junjie Shi, Shilei Liu, Xuzhou Ye, Ju-Chiang Wang, Hongming Shan, Junping Zhang
2024	—	`conf`	High-Fidelity Diffusion-Based Audio Codec. IWAENC Zhengpu Zhang, Jianyuan Feng, Yongjian Mao, Yehang Zhu, Junjie Shi, Xuzhou Ye, Shilei Liu, Derong Liu, Chuanzeng Huang
2023	J	`jnl`	Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development. CoRR Runkai Zhao, Yuwen Heng, Yuanda Gao, Shilei Liu, Heng Wang, Changhao Yao, Jiawen Chen, Weidong Cai
2023	J	`jnl`	An Understanding-oriented Robust Machine Reading Comprehension Model. ACM Trans. Asian Low Resour. Lang. Inf. Process. Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma
2023	A	`conf`	Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce. WSDM Shilei Liu, Lin Li, Jun Song, Yonghua Yang, Xiaoyi Zeng
2022	A	`conf`	A Simple but Effective Bidirectional Framework for Relational Triple Extraction. WSDM Feiliang Ren, Longhui Zhang, Xiaofeng Zhao, Shujuan Yin, Shilei Liu, Bochao Li
2022	J	`jnl`	An Understanding-Oriented Robust Machine Reading Comprehension Model. CoRR Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma
2022	J	`jnl`	Binaural Rendering of Ambisonic Signals by Neural Networks. CoRR Yin Zhu, Qiuqiang Kong, Junjie Shi, Shilei Liu, Xuzhou Ye, Ju-Chiang Wang, Junping Zhang
2022	J	`jnl`	Deep Understanding Based Multi-Document Machine Reading Comprehension. ACM Trans. Asian Low Resour. Lang. Inf. Process. Feiliang Ren, Yongkang Liu, Bochao Li, Zhibo Wang, Yu Guo, Shilei Liu, Huimin Wu, Jiaqi Wang, Chunchao Liu, Bingchao Wang
2022	J	`jnl`	Deep Understanding based Multi-Document Machine Reading Comprehension. CoRR Feiliang Ren, Yongkang Liu, Bochao Li, Zhibo Wang, Yu Guo, Shilei Liu, Huimin Wu, Jiaqi Wang, Chunchao Liu, Bingchao Wang
2022	J	`jnl`	Neural Sound Field Decomposition with Super-resolution of Sound Direction. CoRR Qiuqiang Kong, Shilei Liu, Junjie Shi, Xuzhou Ye, Yin Cao, Qiaoxi Zhu, Yong Xu, Yuxuan Wang
2021	A	`conf`	A Conditional Cascade Model for Relational Triple Extraction. CIKM Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li
2021	J	`jnl`	A Conditional Cascade Model for Relational Triple Extraction. CoRR Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li
2021	—	`conf`	A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling. EMNLP (1) Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li, Yaduo Liu
2021	J	`jnl`	A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling. CoRR Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li, Yaduo Liu
2021	J	`jnl`	A Simple but Effective Bidirectional Extraction Framework for Relational Triple Extraction. CoRR Feiliang Ren, Longhui Zhang, Xiaofeng Zhao, Shujuan Yin, Shilei Liu, Bochao Li
2021	—	`conf`	A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation. EMNLP (1) Shilei Liu, Xiaofeng Zhao, Bochao Li, Feiliang Ren, Longhui Zhang, Shujuan Yin
2021	J	`jnl`	A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation. CoRR Shilei Liu, Xiaofeng Zhao, Bochao Li, Feiliang Ren, Longhui Zhang, Shujuan Yin
2021	—	`conf`	Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection. NLPCC (1) Shilei Liu, Xiaofeng Zhao, Bochao Li, Feiliang Ren
2021	J	`jnl`	Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection. CoRR Shilei Liu, Xiaofeng Zhao, Bochao Li, Feiliang Ren
2020	B	`conf`	Knowledge Graph Embedding with Atrous Convolution and Residual Learning. COLING Feiliang Ren, Juchen Li, Huihui Zhang, Shilei Liu, Bochao Li, Ruicheng Ming, Yujia Bai
2020	J	`jnl`	Knowledge Graph Embedding with Atrous Convolution and Residual Learning. CoRR Feiliang Ren, Juchen Li, Huihui Zhang, Shilei Liu, Bochao Li, Ruicheng Ming, Yujia Bai
2020	—	`conf`	LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model. SemEval@COLING Shilei Liu, Yu Guo, Bochao Li, Feiliang Ren
2020	J	`jnl`	LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation using Pretraining Language Model. CoRR Shilei Liu, Yu Guo, Bochao Li, Feiliang Ren
2018	J	`jnl`	A Model for Medical Diagnosis Based on Plantar Pressure. CoRR Guoxiong Xu, Zhengfei Wang, Hongshi Huang, Wenxin Li, Can Liu, Shilei Liu
2018	—	`conf`	A Study of Temporal Stability on Finger-Vein Recognition Accuracy Using a Steady-State Model. ICBBT Shilei Liu, Guoxiong Xu, Yi Zhang, Wenxin Li
2017	—	`conf`	A Decision Reliability Ratio Based Fusion Scheme for Biometric Verification. ICBBT Liao Ni, Yi Zhang, Shilei Liu, Houjun Huang, Wenxin Li
2017	—	`conf`	A Model for Medical Diagnosis Based on Plantar Pressure. ICAPR Guoxiong Xu, Hongshi Huang, Can Liu, Zhengfei Wang, Wenxin Li, Shilei Liu
2017	—	`conf`	DeepVein: Novel finger vein verification methods based on Deep Convolutional Neural Networks. ISBA Houjun Huang, Shilei Liu, He Zheng, Liao Ni, Yi Zhang, Wenxin Li
2017	J	`jnl`	Investigation into the Effect of Acoustic Radiation Force and Acoustic Streaming on Particle Patterning in Acoustic Standing Wave Fields. Sensors Shilei Liu, Yanye Yang, Zhengyang Ni, Xiasheng Guo, Linjiao Luo, Juan Tu, Dong Zhang, Jie Zhang
2017	—	`conf`	Parameter adjustment of finger vein recognition algorithms. ISBA He Zheng, Yapeng Ye, Shilei Liu, Liao Ni, Yi Zhang, Houjun Huang, Wenxin Li
2016	J	`jnl`	A Fusion Method Based on Decision Reliability Ratio for Finger Vein Verification. CoRR Liao Ni, Yi Zhang, He Zheng, Shilei Liu, Houjun Huang, Wenxin Li
2016	—	`conf`	A study on the individuality of finger vein based on statistical analysis. ICB Yapeng Ye, He Zheng, Liao Ni, Shilei Liu, Wenxin Li
2016	—	`conf`	FVRC2016: The 2nd Finger Vein Recognition Competition. ICB Yapeng Ye, Liao Ni, He Zheng, Shilei Liu, Yi Zhu, Deng Zhang, Weilai Xiang, Wenxin Li
2016	—	`conf`	Performance of Finger-Vein Features as a Human Health Indicator. ICSH Shilei Liu, He Zheng, Gaoxiong Xu, Liao Ni, Yi Zhang, Wenxin Li
2016	—	`conf`	Which finger is the best for finger vein recognition? BTAS He Zheng, Yapeng Ye, Liao Ni, Shilei Liu, Wenxin Li
2015	—	`conf`	BMDT: An optimized method for Biometric Menagerie Detection. BTAS He Zheng, Liao Ni, Ran Xian, Shilei Liu, Wenxin Li
2012	—	`conf`	A finger posture change correction method for finger-vein recognition. CISDA Beining Huang, Shilei Liu, Wenxin Li
2012	—	`conf`	Biometric Identification System's Performance Enhancement by Improving Registration Progress. CCBR Shilei Liu, Beining Huang, Yuankai Yu, Wenxin Li
1994	C	`conf`	On Multiple Transition Branch Hidden Markov Models. ISCAS Xixian Chen, Xiaoming Ma, Lie Zhang, Shanpei Wu, Shilei Liu