Yongshun Gong - RankMe

124 papers A* 25A 7Misc 3Journal 84Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DS_HURNSP: An effective method for mining high utility repeated negative sequential patterns from data streams. Inf. Process. Manag. Xiangjun Dong, Yicong Zhen, Ping Qiu, Jing Chi, Lei Guo, Wenpeng Lu, Long Zhao, Yongshun Gong, Yuhai Zhao
2026	J	`jnl`	Deceiving question-answering models: A hybrid word-level adversarial approach. Neural Networks Jiyao Li, Mingze Ni, Yongshun Gong, Wei Liu
2026	J	`jnl`	EFF-Grasp: Energy-Field Flow Matching for Physics-Aware Dexterous Grasp Generation. CoRR Yukun Zhao, Zichen Zhong, Yongshun Gong, Yilong Yin, Haoliang Sun
2026	J	`jnl`	Exploiting dynamic spatio-temporal correlations for origin-destination demand prediction. Expert Syst. Appl. Yongshun Gong, Piao Yu, Xu Zhang, Xinxin Zhang, Xiushan Nie, Haoliang Sun
2026	J	`jnl`	From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space. CoRR Lehui Li, Yuyao Wang, Jisheng Yan, Wei Zhang, Jinliang Deng, Haoliang Sun, Zhongyi Han, Yongshun Gong
2026	J	`jnl`	HU-RNSP: Efficiently mining high-utility repeated negative sequential patterns. Inf. Process. Manag. Ke Xiao, Ping Qiu, Dun Lan, Xiangjun Dong, Lei Guo, Yuhai Zhao, Yongshun Gong, Long Zhao
2026	J	`jnl`	Missing traffic data imputation with a conditional diffusion framework. Expert Syst. Appl. Jie Li, Dun Lan, Yongshun Gong, Long Zhao, Wenpeng Lu, Yuhai Zhao, Xiangjun Dong, Xiaoming Wu
2026	J	`jnl`	Region Embedding With Adaptive Correlation Discovery for Predicting Urban Socioeconomic Indicators. IEEE Trans. Knowl. Data Eng. Meng Chen, Hongwei Jia, Zechen Li, Weiming Huang, Kai Zhao, Yongshun Gong, Haoran Xu, Hongjun Dai
2026	A*	`conf`	Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation. AAAI Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin
2026	J	`jnl`	Riemannian MeanFlow for One-Step Generation on Manifolds. CoRR Zichen Zhong, Haoliang Sun, Yukun Zhao, Yongshun Gong, Yilong Yin
2026	J	`jnl`	STADNN: Spatio-temporal adaptive decomposition neural network for traffic prediction. Neurocomputing Yong Wang, Ruidong Li, Xiaoyu Li, Yongshun Gong, Xiushan Nie, Yilong Yin
2026	J	`jnl`	What Papers Don't Tell You: Recovering Tacit Knowledge for Automated Paper Reproduction. CoRR Lehui Li, Ruining Wang, Haochen Song, Yaoxin Mao, Tong Zhang, Yuyao Wang, Jiayi Fan, Yitong Zhang, Jieping Ye, Chengqi Zhang, Yongshun Gong
2025	J	`jnl`	A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation. CoRR Wentao Qu, Guofeng Mei, Yang Wu, Yongshun Gong, Xiaoshui Huang, Liang Xiao
2025	J	`jnl`	AICAttack: Adversarial Image Captioning Attack with Attention-based Optimization. Mach. Intell. Res. Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Yongshun Gong, Wei Liu
2025	J	`jnl`	Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach. IEEE Trans. Knowl. Data Eng. Xiaoyu Li, Yitian Zhang, Guodong Long, Yupeng Hu, Wenpeng Lu, Meng Chen, Chengqi Zhang, Yongshun Gong
2025	A*	`conf`	An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models. CVPR Wentao Qu, Jing Wang, Yongshun Gong, Xiaoshui Huang, Liang Xiao
2025	J	`jnl`	Beyond decoders: Learning prompt-aware features for few-shot object counting. Neurocomputing Muming Zhao, Guang Li, Piotr Koniusz, Chongyang Zhang, Yongshun Gong
2025	A*	`conf`	CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning. IJCAI Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu, Ji Zhong, Xiankai Lu, Yongshun Gong
2025	J	`jnl`	Channel-Independent Federated Traffic Prediction. CoRR Mo Zhang, Xiaoyu Li, Bin Xu, Meng Chen, Yongshun Gong
2025	—	`conf`	CodeV: Issue Resolving with Visual Data. ACL (Findings) Linhao Zhang, Daoguang Zan, Quanshun Yang, Zhirong Huang, Dong Chen, Bo Shen, Tianyu Liu, Yongshun Gong, Pengjie Huang, Xudong Lu, Guangtai Liang, Lizhen Cui, Qianxiang Wang
2025	A*	`conf`	Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification. AAAI Yudong Han, Haocong Wang, Yupeng Hu, Yongshun Gong, Xuemeng Song, Weili Guan
2025	J	`jnl`	Cross-Entropy Attacks to Language Models via Rare Event Simulation. CoRR Mingze Ni, Yongshun Gong, Wei Liu
2025	Misc	`conf`	Disparity-Guided Cross-View Transformer For Stereo Image Super-Resolution. ICASSP Bingting Li, Wenjing Shang, Yongshun Gong, Qiangchang Wang, Xinxin Zhang, Yilong Yin
2025	J	`jnl`	Diverse Teacher-Students for deep safe semi-supervised learning under class mismatch. Neural Networks Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin
2025	J	`jnl`	Enhancing origin-destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution. Expert Syst. Appl. Piao Yu, Xu Zhang, Yongshun Gong, Jian Zhang, Haoliang Sun, Junjie Zhang, Xinxin Zhang, Yilong Yin
2025	J	`jnl`	Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information. Neural Networks Xu Zhang, Mengxin Cao, Yongshun Gong, Xiaoming Wu, Xiangjun Dong, Ying Guo, Long Zhao, Chengqi Zhang
2025	J	`jnl`	GeM: Gaussian embeddings with Multi-hop graph transfer for next POI recommendation. Neural Networks Wenqian Mu, Jiyuan Liu, Yongshun Gong, Ji Zhong, Wei Liu, Haoliang Sun, Xiushan Nie, Yilong Yin, Yu Zheng
2025	J	`jnl`	Hierarchical Multi-Prototype Discrimination: Boosting Support-Query Matching for Few-Shot Segmentation. IEEE Trans. Multim. Wenbo Xu, Huaxi Huang, Yongshun Gong, Litao Yu, Qiang Wu, Jian Zhang
2025	J	`jnl`	In silico framework for genome analysis. Future Gener. Comput. Syst. M. Saqib Nawaz, Muhammad Zohaib Nawaz, Yongshun Gong, Philippe Fournier-Viger, Abdoulaye Baniré Diallo
2025	J	`jnl`	Leveraging spatio-temporal multi-task learning for potential urban flow prediction in newly developed regions. Expert Syst. Appl. Wenqian Mu, Hao Qu, Yongshun Gong, Xiushan Nie, Yilong Yin
2025	A*	`conf`	PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration. AAAI Xiaoshui Huang, Zhou Huang, Yifan Zuo, Yongshun Gong, Chengdong Zhang, Deyang Liu, Yuming Fang
2025	J	`jnl`	PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration. CoRR Xiaoshui Huang, Zhou Huang, Yifan Zuo, Yongshun Gong, Chengdong Zhang, Deyang Liu, Yuming Fang
2025	J	`jnl`	PartialST: partial spatial-temporal learning for urban flow prediction. Neural Comput. Appl. Yong Wang, Xiaoyu Li, Xinxin Zhang, Rui Liu, Yongshun Gong
2025	J	`jnl`	Private-library-oriented code generation with large language models. Knowl. Based Syst. Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang
2025	J	`jnl`	STDA: Spatio-Temporal Deviation Alignment Learning for Cross-City Fine-Grained Urban Flow Inference. IEEE Trans. Knowl. Data Eng. Min Yang, Xiaoyu Li, Bin Xu, Xiushan Nie, Muming Zhao, Chengqi Zhang, Yu Zheng, Yongshun Gong
2025	J	`jnl`	Self-Supervised and Generalizable Tokenization for CLIP-Based 3D Understanding. CoRR Guofeng Mei, Bin Ren, Juan Liu, Luigi Riz, Xiaoshui Huang, Xu Zheng, Yongshun Gong, Ming-Hsuan Yang, Nicu Sebe, Fabio Poiesi
2025	A*	`conf`	SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning. CVPR Ren Wang, Haoliang Sun, Yuxiu Lin, Chuanhui Zuo, Yongshun Gong, Yilong Yin, Wenjia Meng
2025	J	`jnl`	Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction. IEEE Trans. Knowl. Data Eng. Yang An, Zhibin Li, Xiaoyu Li, Wei Liu, Xinghao Yang, Haoliang Sun, Meng Chen, Yu Zheng, Yongshun Gong
2025	A*	`conf`	Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction. IJCAI Shilu Yuan, Xiaoyu Li, Wenqian Mu, Ji Zhong, Meng Chen, Haoliang Sun, Yongshun Gong
2025	J	`jnl`	TK-RNSP: Efficient Top-K Repetitive Negative Sequential Pattern mining. Inf. Process. Manag. Dun Lan, Chuanhou Sun, Xiangjun Dong, Ping Qiu, Yongshun Gong, Xinwang Liu, Philippe Fournier-Viger, Chengqi Zhang
2025	J	`jnl`	TSRE: Channel-Aware Typical Set Refinement for Out-of-Distribution Detection. CoRR Weijun Gao, Rundong He, Jinyang Dong, Yongshun Gong
2025	A*	`conf`	Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes. WWW Yishuo Li, Qi Zhang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Jiasheng Si, Yongshun Gong, Liang Hu
2025	A*	`conf`	Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection. IJCAI Yanchao Bi, Yang Ning, Xiushan Nie, Xiankai Lu, Yongshun Gong, Leida Li
2024	A*	`conf`	3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset. IJCAI Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng
2024	J	`jnl`	3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset. CoRR Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng
2024	J	`jnl`	An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models. CoRR Wentao Qu, Jing Wang, Yongshun Gong, Xiaoshui Huang, Liang Xiao
2024	—	`conf`	Attribute Disturbance for Attributed Multiplex Heterogeneous Network Embedding. ICBASE Huimin Su, Qian Li, Yongshun Gong, Yulong Liu, Xinyu Jiang
2024	J	`jnl`	CLIP-driven Outliers Synthesis for few-shot OOD detection. CoRR Hao Sun, Rundong He, Zhongyi Han, Zhicong Lin, Yongshun Gong, Yilong Yin
2024	—	`conf`	CodeM: Less Data Yields More Versatility via Ability Matrix. ACL (Findings) 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
2024	J	`jnl`	CodeS: Natural Language to Code Repository via Multi-Layer Sketch. CoRR 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
2024	J	`jnl`	CodeV: Issue Resolving with Visual Data. CoRR Linhao Zhang, Daoguang Zan, Quanshun Yang, Zhirong Huang, Dong Chen, Bo Shen, Tianyu Liu, Yongshun Gong, Pengjie Huang, Xudong Lu, Guangtai Liang, Lizhen Cui, Qianxiang Wang
2024	J	`jnl`	Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification. CoRR Yudong Han, Haocong Wang, Yupeng Hu, Yongshun Gong, Xuemeng Song, Weili Guan
2024	J	`jnl`	DCTracker: Rethinking MOT in soccer events under dual views via cascade association. Knowl. Based Syst. Long Hu, Junjie Zhang, Weiyi Lv, Yongshun Gong, Jingya Wang, Jian Zhang, Dan Zeng
2024	J	`jnl`	Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach. CoRR Jiyao Li, Mingze Ni, Yongshun Gong, Wei Liu
2024	J	`jnl`	DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises. Proc. ACM Softw. Eng. Daoguang Zan, Ailun Yu, Bo Shen, Bei Chen, Wei Li, Yongshun Gong, Xiaolin Chen, Yafen Yao, Weihua Luo, Bei Guan, Yan Liu, Yongji Wang, Qianxiang Wang, Lizhen Cui
2024	J	`jnl`	Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch. CoRR Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin
2024	J	`jnl`	Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. Artif. Intell. Xiaoyu Li, Yongshun Gong, Wei Liu, Yilong Yin, Yu Zheng, Liqiang Nie
2024	A*	`conf`	Exploring Channel-Aware Typical Features for Out-of-Distribution Detection. AAAI Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong
2024	A*	`conf`	Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. IJCAI Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao
2024	—	`conf`	Fine-Grained Urban Flow Inference with Dynamic Multi-scale Representation Learning. DASFAA (2) Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong
2024	J	`jnl`	Fine-Grained Urban Flow Inference with Multi-scale Representation Learning. CoRR Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong
2024	J	`jnl`	Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection. IEEE Trans. Multim. Jin Huang, Yongshun Gong, Yang Shi, Xinxin Zhang, Jian Zhang, Yilong Yin
2024	A*	`conf`	Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity. KDD Tianao Sun, Ke Fu, Weiming Huang, Kai Zhao, Yongshun Gong, Meng Chen
2024	A*	`conf`	Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. IJCAI Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong
2024	J	`jnl`	Mining actionable repetitive positive and negative sequential patterns. Knowl. Based Syst. Chuanhou Sun, Xiaoqiang Ren, Xiangjun Dong, Ping Qiu, Xiaoming Wu, Long Zhao, Ying Guo, Yongshun Gong, Chengqi Zhang
2024	J	`jnl`	Modeling Multiple Aesthetic Views for Series Photo Selection. IEEE Trans. Multim. Jin Huang, Yongshun Gong, Lu Zhang, Jian Zhang, Liqiang Nie, Yilong Yin
2024	A*	`conf`	Point Cloud Pre-Training with Diffusion Models. CVPR Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong
2024	A*	`conf`	Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. KDD Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin
2024	J	`jnl`	SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences. Knowl. Based Syst. Chuanhou Sun, Yongshun Gong, Ying Guo, Long Zhao, Hongjiao Guan, Xinwang Liu, Xiangjun Dong
2024	J	`jnl`	SSR-DTA: Substructure-aware multi-layer graph neural networks for drug-target binding affinity prediction. Artif. Intell. Medicine Yuansheng Liu, Xinyan Xia, Yongshun Gong, Bosheng Song, Xiangxiang Zeng
2024	J	`jnl`	Spatial-temporal regularized tensor decomposition method for traffic speed data imputation. Int. J. Data Sci. Anal. Haojie Xie, Yongshun Gong, Xiangjun Dong
2024	J	`jnl`	Spatio-Temporal Enhanced Contrastive and Contextual Learning for Weather Forecasting. IEEE Trans. Knowl. Data Eng. Yongshun Gong, Tiantian He, Meng Chen, Bin Wang, Liqiang Nie, Yilong Yin
2024	J	`jnl`	Spatio-Temporal Multi-Image Reflection Removal. IEEE Signal Process. Lett. Xinxin Zhang, Wenjing Shang, Qiangchang Wang, Yongshun Gong, Qifang Liu
2024	A	`conf`	Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction. CIKM Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong
2024	Misc	`conf`	Synonym Replacement and Generation Enhancement for Document Augmentation. ICASSP Jianwei Sun, Yang An, Xinyu Jiang, Qian Li, Yulong Liu, Yongshun Gong
2024	A	`conf`	Time-Series Representation Learning via Dual Reference Contrasting. CIKM Rui Yu, Yongshun Gong, Shoujin Wang, Jiasheng Si, Xueping Peng, Bing Xu, Wenpeng Lu
2024	A	`conf`	Two-phase Parametric Registration for Retinal Images. ICME Xinxin Zhang, Xiankai Lu, Jizhou Li, Yongshun Gong, Qiangchang Wang, Yilong Yin
2024	J	`jnl`	Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models. CoRR Dingning Liu, Xiaoshui Huang, Yuenan Hou, Zhihui Wang, Zhenfei Yin, Yongshun Gong, Peng Gao, Wanli Ouyang
2024	A*	`conf`	Urban Region Embedding via Multi-View Contrastive Prediction. AAAI Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen
2024	J	`jnl`	Weakly Supervised Semantic Segmentation With Consistency-Constrained Multiclass Attention for Remote Sensing Scenes. IEEE Trans. Geosci. Remote. Sens. Junjie Zhang, Qiming Zhang, Yongshun Gong, Jian Zhang, Liang Chen, Dan Zeng
2024	J	`jnl`	scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. Shujie Dong, Yuansheng Liu, Yongshun Gong, Xiangjun Dong, Xiangxiang Zeng
2023	J	`jnl`	3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V. CoRR Dingning Liu, Xiaomeng Dong, Renrui Zhang, Xu Luo, Peng Gao, Xiaoshui Huang, Yongshun Gong, Zhihui Wang
2023	J	`jnl`	An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Trans. Neural Networks Learn. Syst. Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong
2023	A*	`conf`	Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. ICDM Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng
2023	J	`jnl`	Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision. IEEE Trans. Knowl. Data Eng. Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin
2023	J	`jnl`	Latent evolution model for change point detection in time-varying networks. Inf. Sci. Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen
2023	A	`conf`	Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. CIKM Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong
2023	J	`jnl`	Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. IEEE Trans. Knowl. Data Eng. Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng
2023	J	`jnl`	Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin
2023	A*	`conf`	Personalized Single Image Reflection Removal Network through Adaptive Cascade Refinement. ACM Multimedia Mengyi Wang, Xinxin Zhang, Yongshun Gong, Yilong Yin
2023	J	`jnl`	Point Cloud Pre-training with Diffusion Models. CoRR Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong
2023	J	`jnl`	Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts. IEEE Trans. Knowl. Data Eng. Junxiang Bing, Meng Chen, Min Yang, Weiming Huang, Yongshun Gong, Liqiang Nie
2023	J	`jnl`	Private-Library-Oriented Code Generation with Large Language Models. CoRR Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang
2023	J	`jnl`	Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu
2023	J	`jnl`	Sequence Alignment/Map format: a comprehensive review of approaches and applications. Briefings Bioinform. Yuansheng Liu, Xiangzhen Shen, Yongshun Gong, Yiping Liu, Bosheng Song, Xiangxiang Zeng
2023	J	`jnl`	Spatio-temporal fusion and contrastive learning for urban flow prediction. Knowl. Based Syst. Xu Zhang, Yongshun Gong, Chengqi Zhang, Xiaoming Wu, Ying Guo, Wenpeng Lu, Long Zhao, Xiangjun Dong
2023	J	`jnl`	TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. ACM Trans. Inf. Syst. Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie
2023	J	`jnl`	Toward Better Structure and Constraint to Mine Negative Sequential Patterns. IEEE Trans. Neural Networks Learn. Syst. Xinming Gao, Yongshun Gong, Tiantian Xu, Jinhu Lü, Yuhai Zhao, Xiangjun Dong
2023	J	`jnl`	Urban Region Embedding via Multi-View Contrastive Prediction. CoRR Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen
2022	A*	`conf`	Exploring Domain-Invariant Parameters for Source Free Domain Adaptation. CVPR Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin
2022	J	`jnl`	Exploring Linear Feature Disentanglement For Neural Networks. CoRR Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
2022	A	`conf`	Exploring Linear Feature Disentanglement for Neural Networks. ICME Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
2022	J	`jnl`	Latent Evolution Model for Change Point Detection in Time-varying Networks. CoRR Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen
2022	J	`jnl`	Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System. IEEE Trans. Knowl. Data Eng. Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng
2022	J	`jnl`	Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval. IEEE Trans. Multim. Junya Teng, Xiankai Lu, Yongshun Gong, Xinfang Liu, Xiushan Nie, Yilong Yin
2022	A	`conf`	Series Photo Selection via Multi-View Graph Learning. ICME Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang, Xiushan Nie, Yilong Yin
2022	J	`jnl`	Series Photo Selection via Multi-view Graph Learning. CoRR Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang, Xiushan Nie, Yilong Yin
2022	J	`jnl`	Unsupervised Image and Text Fusion for Travel Information Enhancement. IEEE Trans. Multim. Lu Zhang, Jingsong Xu, Yongshun Gong, Litao Yu, Jian Zhang, Jialie Shen
2021	A*	`conf`	Inferring the Importance of Product Appearance with Semi-supervised Multi-modal Enhancement: A Step Towards the Screenless Retailing. ACM Multimedia Yongshun Gong, Jinfeng Yi, Dongdong Chen, Jian Zhang, Jiayu Zhou, Zhihua Zhou
2021	J	`jnl`	Molecular design in drug discovery: a comprehensive review of deep generative models. Briefings Bioinform. Yu Cheng, Yongshun Gong, Yuansheng Liu, Bosheng Song, Quan Zou
2020	A*	`conf`	A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. IJCAI Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong
2020	A*	`conf`	Field-wise Learning for Multi-field Categorical Data. NeurIPS Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu
2020	J	`jnl`	Field-wise Learning for Multi-field Categorical Data. CoRR Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu
2020	—	`—`	Network-wide Spatio-Temporal Predictive Learning for the Intelligent Transportation System Yongshun Gong
2020	A*	`conf`	Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. AAAI Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
2020	J	`jnl`	e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns. IEEE Trans. Cybern. Xiangjun Dong, Yongshun Gong, Longbing Cao
2019	J	`jnl`	Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. CoRR Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
2019	A*	`conf`	Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. KDD Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
2019	J	`jnl`	Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. CoRR Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
2018	J	`jnl`	F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage. Pattern Recognit. Xiangjun Dong, Yongshun Gong, Longbing Cao
2018	Misc	`conf`	Information Enhancement for Travelogues via a Hybrid Clustering Model. DICTA Lu Zhang, Jingsong Xu, Jian Zhang, Yongshun Gong
2018	A	`conf`	Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization. CIKM Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch
2017	J	`jnl`	E-msNSP: Efficient Negative Sequential Patterns Mining Based on Multiple Minimum Supports. Int. J. Pattern Recognit. Artif. Intell. Tiantian Xu, Xiangjun Dong, Jianliang Xu, Yongshun Gong
2017	J	`jnl`	e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns. Int. J. Pattern Recognit. Artif. Intell. Yongshun Gong, Tiantian Xu, Xiangjun Dong, Guohua Lv