Jie Luo

65 papers A* 6A 3C 1Misc 1Journal 42Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Empirical Study of Qwen3 Quantization.
CoRR
Xingyu Zheng, Yuye Li, Haoran Chu, Yue Feng, Xudong Ma, Jie Luo, Jinyang Guo, Haotong Qin, Michele Magno, Xianglong Liu
2025 J jnl
BiVM: Accurate Binarized Neural Network for Efficient Video Matting.
CoRR
Haotong Qin, Xianglong Liu, Xudong Ma, Lei Ke, Yulun Zhang, Jie Luo, Michele Magno
2025 J jnl
BiVM: Accurate Binarized Neural Network for Efficient Video Matting.
IEEE Trans. Pattern Anal. Mach. Intell.
Haotong Qin, Xianglong Liu, Xudong Ma, Lei Ke, Yulun Zhang, Jie Luo, Michele Magno
2025 A* conf
Clustering Properties of Self-Supervised Learning.
ICML
Xi Weng, Jianing An, Xudong Ma, Binhang Qi, Jie Luo, Xi Yang, Jin Song Dong, Lei Huang
2025 J jnl
Clustering Properties of Self-Supervised Learning.
CoRR
Xi Weng, Jianing An, Xudong Ma, Binhang Qi, Jie Luo, Xi Yang, Jin Song Dong, Lei Huang
2025 J jnl
Expressiveness Analysis and Enhancing Framework for Geometric Knowledge Graph Embedding Models.
IEEE Trans. Knowl. Data Eng.
Tengwei Song, Long Yin, Yang Liu, Long Liao, Jie Luo, Zhiqiang Xu
2025 A conf
Symmetry-Guided Multi-Agent Inverse Reinforcement Learning.
IROS
Yongkai Tian, Yirong Qi, Xin Yu, Wenjun Wu, Jie Luo
2025 J jnl
Symmetry-Guided Multi-Agent Inverse Reinforcement Learning.
CoRR
Yongkai Tian, Yirong Qi, Xin Yu, Wenjun Wu, Jie Luo
2025 J jnl
VoQA: Visual-only Question Answering.
CoRR
Luyang Jiang, Jianing An, Jie Luo, Wenjun Wu, Lei Huang
2025 J jnl
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning.
CoRR
Simin Li, Yuwei Zheng, Zihao Mao, Linhao Wang, Ruixiao Xu, Chengdong Ma, Xin Yu, Yuqing Ma, Qi Dou, Xin Wang, Jie Luo, Bo An, Yaodong Yang, Weifeng Lv, Xianglong Liu
2025 J jnl
zkRPC: Trustless Bitcoin data availability network.
Comput. Networks
Kundu Chen, Jie Luo
2024 A* conf
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention.
ICML
Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno
2024 J jnl
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention.
CoRR
Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno
2024 J jnl
An empirical study of LLaMA3 quantization: from LLMs to MLLMs.
Vis. Intell.
Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno
2024 J jnl
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance.
IEEE Trans. Neural Networks Learn. Syst.
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
2024 A conf
Exploiting Hierarchical Symmetry in Multi-Agent Reinforcement Learning.
ECAI
Yongkai Tian, Xin Yu, Yirong Qi, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi, Jie Luo
2024 J jnl
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study.
CoRR
Wei Huang, Xudong Ma, Haotong Qin, Xingyu Zheng, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno
2024 A* conf
Modulate Your Spectrum in Self-Supervised Learning.
ICLR
Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Khan, Lei Huang
2024 J jnl
TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Models.
CoRR
Junlong Jia, Ying Hu, Xi Weng, Yiming Shi, Miao Li, Xingjian Zhang, Baichuan Zhou, Ziyu Liu, Jie Luo, Lei Huang, Ji Wu
2024 J jnl
TinyLLaVA: A Framework of Small-scale Large Multimodal Models.
CoRR
Baichuan Zhou, Ying Hu, Xi Weng, Junlong Jia, Jie Luo, Xien Liu, Ji Wu, Lei Huang
2023 — conf
Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation.
KSEM (1)
Tengwei Song, Long Yin, Xudong Ma, Jie Luo
2023 A conf
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning.
ECAI
Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu
2023 J jnl
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning.
CoRR
Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu
2023 J jnl
Modulate Your Spectrum in Self-Supervised Learning.
CoRR
Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan, Lei Huang
2022 — conf
Attention-based Learning for Multiple Relation Patterns in Knowledge Graph Embedding.
KSEM (1)
Tengwei Song, Jie Luo
2022 A* conf
BiFSMN: Binary Neural Network for Keyword Spotting.
IJCAI
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
2022 J jnl
BiFSMN: Binary Neural Network for Keyword Spotting.
CoRR
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
2022 J jnl
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance.
CoRR
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
2022 A* conf
Delving into the Estimation Shift of Batch Normalization in a Network.
CVPR
Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
2022 J jnl
Delving into the Estimation Shift of Batch Normalization in a Network.
CoRR
Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
2022 — conf
Pre-train Unified Knowledge Graph Embedding with Ontology.
KSEM (1)
Tengwei Song, Jie Luo, Xiangyu Chen
2021 J jnl
Explaining the semantics capturing capability of scene graph generation models.
Pattern Recognit.
Jie Luo, Jia Zhao, Bin Wen, Yuhang Zhang
2021 A* conf
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding.
NeurIPS
Tengwei Song, Jie Luo, Lei Huang
2021 J jnl
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding.
CoRR
Tengwei Song, Jie Luo, Lei Huang
2020 J jnl
An Associative Optimizing Method on Reliability and Cost in Clouds.
IEEE Access
Sa Meng, Yuanshun Dai, Liang Luo, Jie Luo
2020 J jnl
BioRel: towards large-scale biomedical relation extraction.
BMC Bioinform.
Rui Xing, Jie Luo, Tengwei Song
2020 — conf
Design Method of Banquet Intelligent Side Dishes System Based on Data Mining and Correlation Analysis.
QRS Companion
Xing Oiao, Jie Luo
2020 J jnl
Heuristic-Based Address Clustering in Bitcoin.
IEEE Access
Yuhang Zhang, Jun Wang, Jie Luo
2020 J jnl
Knowledge Graph Embedding Based Collaborative Filtering.
IEEE Access
Yuhang Zhang, Jun Wang, Jie Luo
2020 J jnl
Quality assessment in competition-based software crowdsourcing.
Frontiers Comput. Sci.
Zhenghui Hu, Wenjun Wu, Jie Luo, Xin Wang, Boshu Li
2020 J jnl
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction.
CoRR
Bin Wen, Jie Luo, Xianglong Liu, Lei Huang
2019 J jnl
Accelerating MUS enumeration by inconsistency graph partitioning.
Sci. China Inf. Sci.
Jie Luo, Shaofan Liu
2019 — conf
BioRel: A Large-Scale Dataset for Biomedical Relation Extraction.
BIBM
Rui Xing, Jie Luo, Tengwei Song
2019 J jnl
Deep supervised hashing using symmetric relative entropy.
Pattern Recognit. Lett.
Xueni Zhang, Lei Zhou, Xiao Bai, Xiushu Luan, Jie Luo, Edwin R. Hancock
2019 — conf
Distant Supervised Relation Extraction with Separate Head-Tail CNN.
W-NUT@EMNLP
Rui Xing, Jie Luo
2019 J jnl
Incremental Theory Closure Reasoning for Large Scale Knowledge Graphs.
IEEE Access
Jie Luo, Yifei Wang, Yi Xu
2019 J jnl
Quarter-Point Product Quantization for approximate nearest neighbor search.
Pattern Recognit. Lett.
Shan An, Zhibiao Huang, Shuang Bai, Guangfu Che, Xin Ma, Jie Luo, Yu Chen
2019 J jnl
Rule-based hidden relation recognition for large scale knowledge graphs.
Pattern Recognit. Lett.
Jie Luo, Yifei Wang, Dongchen Jiang
2018 — conf
An Incremental Reasoning Algorithm for Large Scale Knowledge Graph.
KSEM (1)
Yifei Wang, Jie Luo
2018 J jnl
CPCA: A Feature Semantics Based Crowd Dimension Reduction Framework.
IEEE Access
Yuanyuan Zhang, Dawei Gao, Jie Luo, Ke Xu
2018 Misc conf
FMUS2: An Efficient Algorithm to Compute Minimal Unsatisfiable Subsets.
AISC
Shaofan Liu, Jie Luo
2018 J jnl
Test-Algebra-Based Fault Location Analysis for the Concurrent Combinatorial Testing.
IEEE Trans. Reliab.
Guanqiu Qi, Wei-Tek Tsai, Charles J. Colbourn, Jie Luo, Zhiqin Zhu
2017 J jnl
Contrary description logic: Gentzen deduction system.
Sci. China Inf. Sci.
Wei Li, Yuefei Sui, Jie Luo, Bo Chen
2016 C conf
Schema-Based Query Rewriting in SPARQL.
KSEM
Lili Jiang, Jie Luo
2015 — conf
Automated Program Debugging for Multiple Bugs Based on Semantic Analysis.
SOFL+MSVL
Aishan Liu, Li Li, Jie Luo
2014 J jnl
A formal semantics for debugging synchronous message passing-based concurrent programs.
Sci. China Inf. Sci.
He Li, Jie Luo, Wei Li
2014 — conf
Concurrent Test Algebra Execution with Combinatorial Testing.
SOSE
Wei-Tek Tsai, Jie Luo, Guanqiu Qi, Wenjun Wu
2014 — conf
Test-Algebra Execution in a Cloud Environment.
SOSE
Wenjun Wu, Wei-Tek Tsai, Chao Jin, Guanqiu Qi, Jie Luo
2013 J jnl
A decomposition based algorithm for maximal contractions.
Frontiers Comput. Sci.
Dongchen Jiang, Wei Li, Jie Luo, Yihua Lou, Zhengzhong Liao
2013 J jnl
A general framework for computing maximal contractions.
Frontiers Comput. Sci.
Jie Luo
2013 J jnl
A representative model based algorithm for maximal contractions.
Sci. China Inf. Sci.
Dongchen Jiang, Yihua Lou, Yi Jin, Jie Luo, Wei Li
2013 — conf
Test algebra for combinatorial testing.
AST@ICSE
Wei-Tek Tsai, Charles J. Colbourn, Jie Luo, Guanqiu Qi, Qingyang Li, Xiaoying Bai
2012 — conf
Open Geometry Textbook: A Case Study of Knowledge Acquisition via Collective Intelligence - (Project Description).
AISC/MKM/Calculemus
Xiaoyu Chen, Wei Li, Jie Luo, Dongming Wang
2011 J jnl
An algorithm to compute maximal contractions for Horn clauses.
Sci. China Inf. Sci.
Jie Luo, Wei Li
2011 J jnl
R-calculus without the cut rule.
Sci. China Inf. Sci.
Jie Luo, Wei Li