Jungang Xu - RankMe

92 papers A* 5A 2B 15C 5Misc 3Journal 34Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Machine Learning Approaches in Logic Synthesis. ACM Trans. Design Autom. Electr. Syst. Miao Liu, Liwei Ni, Junfeng Liu, Xingyu Meng, Rui Wang, Xiaoze Lin, Xinhua Lai, Xingquan Li, Jungang Xu
2026	A*	`conf`	Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss. AAAI Zhenghao Zhang, Jun Xie, Xingchen Chen, Tao Yu, Hongzhu Yi, Kaixin Xu, Yuanxiang Wang, Tianyu Zong, Xinming Wang, Jiahuan Chen, Guoqing Chao, Feng Chen, Zhepeng Wang, Jungang Xu
2026	J	`jnl`	RPO:Reinforcement Fine-Tuning with Partial Reasoning Optimization. CoRR Hongzhu Yi, Xinming Wang, Zhenghao Zhang, Tianyu Zong, Yuanxiang Wang, Jun Xie, Tao Yu, Haopeng Jin, Kaixin Xu, Feng Chen, Jiahuan Chen, Yujia Yang, Zhenyu Guan, Bingkang Shi, Jungang Xu
2026	J	`jnl`	VDE Bench: Evaluating The Capability of Image Editing Models to Modify Visual Documents. CoRR Hongzhu Yi, Yujia Yang, Yuanxiang Wang, Zhenyu Guan, Jiahuan Chen, Chenxi Bao, Tiankun Yang, Yixuan Yuan, Tianyu Zong, Xinming Wang, Tao Yu, Ruiwen Tao, Haijin Liang, Jin Ma, Jinwen Luo, Xinyu Zuo, Jungang Xu
2026	J	`jnl`	iPO: Constant Liar Parameter Optimization for Placement with Representation and Transfer Learning. ACM Trans. Design Autom. Electr. Syst. Xinhua Lai, Miao Liu, Xingquan Li, Yihang Qiu, Shijian Chen, Xinhao Li, Jungang Xu
2025	J	`jnl`	A Stochastic Traffic Flow Model-Based Reinforcement Learning Framework For Advanced Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. Yifan Zhu, Yisheng Lv, Shu Lin, Jungang Xu
2025	Misc	`conf`	An Efficient Hybrid Quantum Variational Classifier With Matrix Product State. ICASSP Wanqi Sun, Jungang Xu, Chenghua Duan
2025	J	`jnl`	Control of traffic network signals based on deep deterministic policy gradients. Appl. Intell. Huifeng Hu, Shu Lin, Ping Wang, Jungang Xu
2025	B	`conf`	DPD: A Dual Prompt Distillation Method for Vision-Language Model. ICTAI Di Wang, Yiyu Wang, Jungang Xu
2025	J	`jnl`	Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss. CoRR Zhenghao Zhang, Jun Xie, Xingchen Chen, Tao Yu, Hongzhu Yi, Kaixin Xu, Yuanxiang Wang, Tianyu Zong, Xinming Wang, Jiahuan Chen, Guoqing Chao, Feng Chen, Zhepeng Wang, Jungang Xu
2025	J	`jnl`	JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence Embeddings. CoRR Tianyu Zong, Hongzhu Yi, Bingkang Shi, Yuanxiang Wang, Jungang Xu
2025	B	`conf`	LOVD: Open-Vocabulary Object Detection Based on LLM-Enhanced Agents. IJCNN Xinhao Li, Jungang Xu
2025	Misc	`conf`	Noise-Mitigated Variational Quantum Eigensolver with Pre-training and Zero-Noise Extrapolation. ICASSP Wanqi Sun, Jungang Xu, Chenghua Duan
2025	A*	`conf`	TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings. AAAI Tianyu Zong, Bingkang Shi, Hongzhu Yi, Jungang Xu
2025	J	`jnl`	TNCSE: Tensor's Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings. CoRR Tianyu Zong, Bingkang Shi, Hongzhu Yi, Jungang Xu
2025	J	`jnl`	Zero-Shot Neural Architecture Search with Weighted Response Correlation. CoRR Kun Jing, Luoyu Chen, Jungang Xu, Jianwei Tai, Yiyu Wang, Shuaimin Li
2025	J	`jnl`	Zero-shot neural architecture search with weighted response correlation. Neurocomputing Kun Jing, Luoyu Chen, Jungang Xu, Jianwei Tai, Yiyu Wang, Shuaimin Li
2024	A	`conf`	A Neural Architecture Predictor based on GNN-Enhanced Transformer. AISTATS Xunzhi Xiang, Kun Jing, Jungang Xu
2024	B	`conf`	CLIP-Driven Low-Cost Image Captioning. IJCNN Yiyu Wang, Jungang Xu, Yingfei Sun
2024	J	`jnl`	Correction to: HierMDS: a hierarchical multi-document summarization model with global-local document dependencies. Neural Comput. Appl. Shuaimin Li, Jungang Xu
2024	—	`conf`	Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework. ICANN (1) Di Wang, Xunzhi Xiang, Kun Jing, Jungang Xu
2024	—	`conf`	Improving Image Captioning with Image Concepts of Words. KSEM (2) Yiyu Wang, Xunzhi Xiang, Kun Jing, Jungang Xu, Yingfei Sun
2024	—	`conf`	NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components. ICANN (1) Di Wang, Kun Jing, Jungang Xu
2024	J	`jnl`	Text Data-Centric Image Captioning with Interactive Prompts. CoRR Yiyu Wang, Hao Luo, Jungang Xu, Yingfei Sun, Fan Wang
2023	B	`conf`	A Novel Clinical Trial Prediction-Based Factual Inconsistency Detection Approach for Medical Text Summarization. IJCNN Shuaimin Li, Jungang Xu
2023	—	`conf`	AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution. INNS DLIA@IJCNN Keyao Li, Jungang Xu
2023	J	`jnl`	An architecture entropy regularizer for differentiable neural architecture search. Neural Networks Kun Jing, Luoyu Chen, Jungang Xu
2023	J	`jnl`	HierMDS: a hierarchical multi-document summarization model with global-local document dependencies. Neural Comput. Appl. Shuimin Li, Jungang Xu
2023	J	`jnl`	MRC-Sum: An MRC framework for extractive summarization of academic articles in natural sciences and medicine. Inf. Process. Manag. Shuaimin Li, Jungang Xu
2023	J	`jnl`	Robustness Analysis of Platoon Control for Mixed Types of Vehicles. IEEE Trans. Intell. Transp. Syst. Yixia Wang, Shu Lin, Yibing Wang, Bart De Schutter, Jungang Xu
2023	J	`jnl`	TransETA: transformer networks for estimated time of arrival with local congestion representation. Appl. Intell. Shu Lin, Yanyan Xu, Shengjian Zhao, Yibing Wang, Jungang Xu
2022	B	`conf`	A Graph Architecture Search Method Based On Grouped Operations. IJCNN Luoyu Chen, Jungang Xu, Kun Jing, Yingfei Sun
2022	J	`jnl`	A neural architecture generator for efficient search space. Neurocomputing Kun Jing, Jungang Xu, Zhen Zhang
2022	J	`jnl`	A visual persistence model for image captioning. Neurocomputing Yiyu Wang, Jungang Xu, Yingfei Sun
2022	A*	`conf`	End-to-End Transformer Based Model for Image Captioning. AAAI Yiyu Wang, Jungang Xu, Yingfei Sun
2022	J	`jnl`	End-to-End Transformer Based Model for Image Captioning. CoRR Yiyu Wang, Jungang Xu, Yingfei Sun
2022	B	`conf`	Few-shot Edge Classification in Graph Meta-learning. DSAA Xiaoxiao Yang, Jungang Xu
2022	A*	`conf`	Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search. IJCAI Kun Jing, Jungang Xu, Pengfei Li
2022	—	`conf`	KAAS: A Keyword-Aware Attention Abstractive Summarization Model for Scientific Articles. DASFAA (3) Shuaimin Li, Jungang Xu
2021	B	`conf`	A Light Ranker for Open-Domain Question Answering. IJCNN Boyu Qiu, Jungang Xu, Xu Chen, Yingfei Sun
2021	J	`jnl`	A two-step abstractive summarization model with asynchronous and enriched-information decoding. Neural Comput. Appl. Shuaimin Li, Jungang Xu
2021	B	`conf`	An Answer Driven Model For Paragraph-level Question Generation. IJCNN Xu Chen, Jungang Xu
2021	B	`conf`	Hierarchical Dialogue State Tracking with Machine Reading Comprehension. IJCNN Boyu Qiu, Jungang Xu, Yingfei Sun
2020	—	`conf`	K2RDF: A Distributed RDF Data Management System on Kudu and Impala. Bench Xu Chen, Boyu Qiu, Jungang Xu, Renfeng Liu
2020	—	`conf`	LBNet: A Model for Judicial Reading Comprehension. APWeb/WAIM Workshops Hao Liu, Jungang Xu
2020	B	`conf`	NASABN: A Neural Architecture Search Framework for Attention-Based Networks. IJCNN Kun Jing, Jungang Xu, Hui Xu
2020	—	`conf`	Urban Traffic Flow Forecasting Based on Memory Time-Series Network. ITSC Shengjian Zhao, Shu Lin, Yunlong Li, Jungang Xu, Yibing Wang
2019	—	`conf`	A Novel Image Captioning Method Based on Generative Adversarial Networks. ICANN (4) Yang Fan, Jungang Xu, Yingfei Sun, Yiyu Wang
2019	J	`jnl`	A Survey on Neural Machine Reading Comprehension. CoRR Boyu Qiu, Xu Chen, Jungang Xu, Yingfei Sun
2019	J	`jnl`	A Survey on Neural Network Language Models. CoRR Kun Jing, Jungang Xu
2019	J	`jnl`	Image Captioning based on Deep Learning Methods: A Survey. CoRR Yiyu Wang, Jungang Xu, Yingfei Sun, Ben He
2019	—	`conf`	Time Series Traffic Prediction via Hybrid Neural Networks. ITSC Shengjian Zhao, Shu Lin, Jungang Xu
2018	B	`conf`	A Hard Real-time Scheduler for Spark on YARN. CCGrid Guolu Wang, Jungang Xu, Renfeng Liu, Shanshan Huang
2018	—	`conf`	A Recurrent Neural Network Language Model Based on Word Embedding. APWeb/WAIM Workshops Shuaimin Li, Jungang Xu
2018	—	`conf`	A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring. KSEM (1) Yanhua Ran, Ben He, Jungang Xu
2018	B	`conf`	Long-Term Recurrent Merge Network Model for Image Captioning. ICTAI Yang Fan, Jungang Xu, Yingfei Sun, Ben He
2018	A*	`conf`	NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. EMNLP Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
2018	J	`jnl`	NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. CoRR Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
2018	J	`jnl`	Neural relevance model using similarities with elite documents for effective clinical decision support. Int. J. Data Min. Bioinform. Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun
2018	—	`conf`	One Self-Adaptive Memory Scheduling Algorithm for the Shuffle Process in Spark Platform. IEEE BigData Jungang Xu, Shanshan Huang, Renfeng Liu, Pengfei Li
2018	J	`jnl`	Spark性能优化技术研究综述 (Survey on Performance Optimization Technologies for Spark). 计算机科学 Husheng Liao, Shanshan Huang, Jungang Xu, Renfeng Liu
2018	—	`conf`	UCAS at TREC-2018 Precision Medicine Track. TREC Zhi Zheng, Canjia Li, Ben He, Jungang Xu
2017	J	`jnl`	A Feedback-Based Approach to Utilizing Embeddings for Clinical Decision Support. Data Sci. Eng. Chenhao Yang, Ben He, Canjia Li, Jungang Xu
2017	C	`conf`	A Study of Distributed Semantic Representations for Automated Essay Scoring. KSEM Cancan Jin, Ben He, Jungang Xu
2017	—	`conf`	A document-based neural relevance model for effective clinical decision support. BIBM Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun
2017	—	`conf`	A novel compression algorithm decision method for spark shuffle process. IEEE BigData Shanshan Huang, Jungang Xu, Renfeng Liu, Husheng Liao
2017	—	`conf`	An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation. ICANN (2) Qi Wang, Jungang Xu, Ben He, Zhengcai Qin
2017	—	`conf`	Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decision Support. APWeb/WAIM (2) Chenhao Yang, Ben He, Jungang Xu
2017	B	`conf`	Two improved continuous bag-of-word models. IJCNN Qi Wang, Jungang Xu, Hong Chen, Ben He
2017	—	`conf`	UCAS at TREC-2017 Precision Medicine Track. TREC Canjia Li, Ben He, Yingfei Sun, Jungang Xu
2016	C	`conf`	A Document Modeling Method Based on Deep Generative Model and Spectral Hashing. KSEM Hong Chen, Jungang Xu, Qi Wang, Ben He
2016	—	`conf`	A Novel Method for Tuning Configuration Parameters of Spark Based on Machine Learning. HPCC/SmartCity/DSS Guolu Wang, Jungang Xu, Ben He
2016	C	`conf`	A Novel Performance Evaluation and Optimization Model for Big Data System. ISPDC Jungang Xu, Guolu Wang, Shengyuan Liu, Renfeng Liu
2016	—	`conf`	A Set-Based Training Query Classification Approach for Twitter Search. WAIM (1) Qingli Ma, Ben He, Jungang Xu, Bin Wang
2016	Misc	`conf`	Direct measurement of training query quality for learning to rank. SAC Qingli Ma, Ben He, Jungang Xu
2016	—	`conf`	Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank. PAISI Jungang Xu, Hong Chen, Shilong Zhou, Ben He
2015	J	`jnl`	A Structure Learning Algorithm for Bayesian Network Using Prior Knowledge. J. Comput. Sci. Technol. Jungang Xu, Yue Zhao, Jian Chen, Chao Han
2015	B	`conf`	A sample partition method for learning to rank based on query-level vector extraction. IJCNN Jungang Xu, Shilong Zhou, Hong Chen, Pengfei Li
2015	—	`conf`	Robust Corner Detection Based on Bilateral Filter in Direct Curvature Scale Space. ICSI (3) Bin Liao, Jungang Xu, Huiying Sun, Hong Chen
2014	C	`conf`	A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation. KSEM Jungang Xu, Shilong Zhou, Lin Qiu, Shengyuan Liu, Pengfei Li
2014	J	`jnl`	Automated Essay Scoring by Capturing Relative Writing Quality. Comput. J. Hongbo Chen, Jungang Xu, Ben He
2014	J	`jnl`	Improving mixing rate with tempered transition for learning restricted Boltzmann machines. Neurocomputing Jungang Xu, Hui Li, Shilong Zhou
2014	J	`jnl`	Online High-Quality Topic Detection for Bulletin Board Systems. IEICE Trans. Inf. Syst. Jungang Xu, Hui Li, Yan Zhao, Ben He
2013	B	`conf`	A Parallel Algorithm for Bayesian Network Parameter Learning Based on Factor Graph. ICTAI Yue Zhao, Jungang Xu, Yunjun Gao
2013	A	`conf`	Clustering-based transduction for learning a ranking model with limited human labels. CIKM Xin Zhang, Ben He, Tiejian Luo, Dongxing Li, Jungang Xu
2013	—	`conf`	Evaluating task scheduling in hadoop-based cloud systems. IEEE BigData Shengyuan Liu, Jungang Xu, Zongzhen Liu, Xu Liu
2013	—	`conf`	Hyper-geometric Model for Information Retrieval Revisited. AIRS Sha Lu, Ben He, Jungang Xu
2013	—	`conf`	Performance Analysis of MPI Parallel Programs on Xen Virtual Machines. HPCC/EUC Jungang Xu, Yue Zhao, Kunlin Zhan, Hui Li, Xiuqi Han
2013	C	`conf`	The Failure Prediction of Cluster Systems Based on System Logs. KSEM Jungang Xu, Hui Li
2012	—	`conf`	UCAS at TREC 2012 Microblog Track. TREC Xin Zhang, Sha Lu, Ben He, Jungang Xu, Tiejian Luo
2010	—	`conf`	One CWM-Based Data Transformation Method in ETL Process. DBTA Ying Pei, Jungang Xu, Qiang Wang
2007	J	`jnl`	Model Management in Virtual Reality Research. Data Sci. J. Jungang Xu, Liang Zhou, Kun Zhang, Wenyao Zhang