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Yongshun Gong
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2020 – today
- 2025
- [j33]Piao Yu, Xu Zhang, Yongshun Gong
, Jian Zhang, Haoliang Sun, Junjie Zhang, Xinxin Zhang
Enhancing origin-destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution. Expert Syst. Appl. 264: 125679 (2025) - [j32]M. Saqib Nawaz, Muhammad Zohaib Nawaz, Yongshun Gong, Philippe Fournier-Viger, Abdoulaye Baniré Diallo:
In silico framework for genome analysis. Future Gener. Comput. Syst. 164: 107585 (2025) - 2024
- [j31]Xiaoyu Li
Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. Artif. Intell. 328: 104065 (2024) - [j30]Yuansheng Liu
SSR-DTA: Substructure-aware multi-layer graph neural networks for drug-target binding affinity prediction. Artif. Intell. Medicine 157: 102983 (2024) - [j29]Haojie Xie, Yongshun Gong, Xiangjun Dong:
Spatial-temporal regularized tensor decomposition method for traffic speed data imputation. Int. J. Data Sci. Anal. 17(2): 203-223 (2024) - [j28]Chuanhou Sun, Yongshun Gong
SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences. Knowl. Based Syst. 287: 111449 (2024) - [j27]Chuanhou Sun, Xiaoqiang Ren, Xiangjun Dong, Ping Qiu, Xiaoming Wu, Long Zhao
Mining actionable repetitive positive and negative sequential patterns. Knowl. Based Syst. 302: 112398 (2024) - [j26]Long Hu, Junjie Zhang
DCTracker: Rethinking MOT in soccer events under dual views via cascade association. Knowl. Based Syst. 304: 112528 (2024) - [j25]Daoguang Zan
DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises. Proc. ACM Softw. Eng. 1(FSE): 406-426 (2024) - [j24]Xinxin Zhang
Spatio-Temporal Multi-Image Reflection Removal. IEEE Signal Process. Lett. 31: 2345-2349 (2024) - [j23]Shujie Dong
scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 95-105 (2024) - [j22]Junjie Zhang
Weakly Supervised Semantic Segmentation With Consistency-Constrained Multiclass Attention for Remote Sensing Scenes. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j21]Jin Huang, Yongshun Gong
Modeling Multiple Aesthetic Views for Series Photo Selection. IEEE Trans. Multim. 26: 1983-1995 (2024) - [j20]Jin Huang
Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection. IEEE Trans. Multim. 26: 8758-8770 (2024) - [c26]Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen:
Urban Region Embedding via Multi-View Contrastive Prediction. AAAI 2024: 8724-8732 - [c25]Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong:
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection. AAAI 2024: 12402-12410 - [c24]Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui:
CodeM: Less Data Yields More Versatility via Ability Matrix. ACL (Findings) 2024: 714-729 - [c23]Yang An
Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction. CIKM 2024: 45-55 - [c22]Rui Yu
Time-Series Representation Learning via Dual Reference Contrasting. CIKM 2024: 3042-3051 - [c21]Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong:
Point Cloud Pre-Training with Diffusion Models. CVPR 2024: 22935-22945 - [c20]Jianwei Sun, Yang An, Xinyu Jiang, Qian Li, Yulong Liu, Yongshun Gong:
Synonym Replacement and Generation Enhancement for Document Augmentation. ICASSP 2024: 7710-7714 - [c19]Xinxin Zhang, Xiankai Lu, Jizhou Li, Yongshun Gong, Qiangchang Wang, Yilong Yin:
Two-phase Parametric Registration for Retinal Images. ICME 2024: 1-6 - [c18]Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng:
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset. IJCAI 2024: 1706-1714 - [c17]Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong:
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. IJCAI 2024: 2090-2098 - [c16]Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao:
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. IJCAI 2024: 2533-2541 - [c15]Meng Chen
Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. KDD 2024: 319-328 - [c14]Tianao Sun
Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity. KDD 2024: 2784-2793 - [i16]Dingning Liu, Xiaoshui Huang, Yuenan Hou, Zhihui Wang, Zhenfei Yin, Yongshun Gong, Peng Gao, Wanli Ouyang:
Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models. CoRR abs/2402.03327 (2024) - [i15]Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui:
CodeS: Natural Language to Code Repository via Multi-Layer Sketch. CoRR abs/2403.16443 (2024) - [i14]Hao Sun, Rundong He, Zhongyi Han, Zhicong Lin, Yongshun Gong, Yilong Yin:
CLIP-driven Outliers Synthesis for few-shot OOD detection. CoRR abs/2404.00323 (2024) - [i13]Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng:
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset. CoRR abs/2404.14678 (2024) - [i12]Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin:
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch. CoRR abs/2405.16093 (2024) - [i11]Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong:
Fine-Grained Urban Flow Inference with Multi-scale Representation Learning. CoRR abs/2406.09710 (2024) - 2023
- [j19]Yuansheng Liu, Xiangzhen Shen, Yongshun Gong, Yiping Liu, Bosheng Song
Sequence Alignment/Map format: a comprehensive review of approaches and applications. Briefings Bioinform. 24(5) (2023) - [j18]Yongshun Gong
Latent evolution model for change point detection in time-varying networks. Inf. Sci. 646: 119376 (2023) - [j17]Xu Zhang
Spatio-temporal fusion and contrastive learning for urban flow prediction. Knowl. Based Syst. 282: 111104 (2023) - [j16]Yongshun Gong
Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11053-11066 (2023) - [j15]Yongshun Gong
Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. IEEE Trans. Knowl. Data Eng. 35(1): 686-698 (2023) - [j14]Hao Qu, Yongshun Gong
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision. IEEE Trans. Knowl. Data Eng. 35(8): 8008-8023 (2023) - [j13]Junxiang Bing
Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts. IEEE Trans. Knowl. Data Eng. 35(9): 8893-8904 (2023) - [j12]Xinming Gao
Toward Better Structure and Constraint to Mine Negative Sequential Patterns. IEEE Trans. Neural Networks Learn. Syst. 34(2): 571-585 (2023) - [j11]Ping Qiu
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1864-1878 (2023) - [j10]Ronghui Xu
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. ACM Trans. Inf. Syst. 41(4): 112:1-112:24 (2023) - [j9]Xinghao Yang
Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. 8(4): 583-595 (2023) - [c13]Xu Zhang
Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. CIKM 2023: 3298-3307 - [c12]Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng:
Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. ICDM 2023: 1367-1372 - [c11]Mengyi Wang
Personalized Single Image Reflection Removal Network through Adaptive Cascade Refinement. ACM Multimedia 2023: 8204-8213 - [i10]Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang:
Private-Library-Oriented Code Generation with Large Language Models. CoRR abs/2307.15370 (2023) - [i9]Xiao Zheng, Xiaoshui Huang, Guofeng Mei
Point Cloud Pre-training with Diffusion Models. CoRR abs/2311.14960 (2023) - [i8]Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen:
Urban Region Embedding via Multi-View Contrastive Prediction. CoRR abs/2312.09681 (2023) - [i7]Dingning Liu, Xiaomeng Dong, Renrui Zhang, Xu Luo, Peng Gao, Xiaoshui Huang, Yongshun Gong, Zhihui Wang:
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V. CoRR abs/2312.09738 (2023) - 2022
- [j8]Yongshun Gong
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System. IEEE Trans. Knowl. Data Eng. 34(2): 865-880 (2022) - [j7]Junya Teng, Xiankai Lu
Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval. IEEE Trans. Multim. 24: 1141-1151 (2022) - [j6]Lu Zhang
Unsupervised Image and Text Fusion for Travel Information Enhancement. IEEE Trans. Multim. 24: 1415-1425 (2022) - [c10]Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin:
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation. CVPR 2022: 7141-7150 - [c9]Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin:
Exploring Linear Feature Disentanglement for Neural Networks. ICME 2022: 1-6 - [c8]Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang
Series Photo Selection via Multi-View Graph Learning. ICME 2022: 1-6 - [i6]Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang, Xiushan Nie, Yilong Yin:
Series Photo Selection via Multi-view Graph Learning. CoRR abs/2203.09736 (2022) - [i5]Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin:
Exploring Linear Feature Disentanglement For Neural Networks. CoRR abs/2203.11700 (2022) - [i4]Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen:
Latent Evolution Model for Change Point Detection in Time-varying Networks. CoRR abs/2212.08818 (2022) - 2021
- [j5]Yu Cheng, Yongshun Gong
Molecular design in drug discovery: a comprehensive review of deep generative models. Briefings Bioinform. 22(6) (2021) - [c7]Yongshun Gong
Inferring the Importance of Product Appearance with Semi-supervised Multi-modal Enhancement: A Step Towards the Screenless Retailing. ACM Multimedia 2021: 1120-1128 - 2020
- [b1]Yongshun Gong:
Network-wide Spatio-Temporal Predictive Learning for the Intelligent Transportation System. University of Technology Sydney, Australia, 2020 - [j4]Xiangjun Dong
e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns. IEEE Trans. Cybern. 50(5): 2084-2096 (2020) - [c6]Yongshun Gong
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. AAAI 2020: 4020-4027 - [c5]Yongshun Gong, Zhibin Li, Jian Zhang
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. IJCAI 2020: 1310-1316 - [c4]Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu:
Field-wise Learning for Multi-field Categorical Data. NeurIPS 2020 - [i3]Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu:
Field-wise Learning for Multi-field Categorical Data. CoRR abs/2012.00202 (2020)
2010 – 2019
- 2019
- [c3]Zhibin Li
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. KDD 2019: 2848-2856 - [i2]Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch:
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. CoRR abs/1907.01162 (2019) - [i1]Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi:
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. CoRR abs/1912.03440 (2019) - 2018
- [j3]Xiangjun Dong
F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage. Pattern Recognit. 84: 13-27 (2018) - [c2]Yongshun Gong
Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization. CIKM 2018: 1243-1252 - [c1]Lu Zhang
Information Enhancement for Travelogues via a Hybrid Clustering Model. DICTA 2018: 1-8 - 2017
- [j2]Yongshun Gong, Tiantian Xu, Xiangjun Dong, Guohua Lv:
e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns. Int. J. Pattern Recognit. Artif. Intell. 31(2): 1750002:1-1750002:20 (2017) - [j1]Tiantian Xu, Xiangjun Dong, Jianliang Xu, Yongshun Gong:
E-msNSP: Efficient Negative Sequential Patterns Mining Based on Multiple Minimum Supports. Int. J. Pattern Recognit. Artif. Intell. 31(2): 1750003:1-1750003:17 (2017)
Coauthor Index
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