Liangjian Wen - RankMe

39 papers A* 6A 3Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FDNet: High-frequency disentanglement network with information-theoretic guidance for multivariate time series forecasting. Pattern Recognit. Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai, Dongkai Wang, Shudong Huang, Jun Wang, Zenglin Xu
2026	J	`jnl`	GazeCLIP: Enhancing gaze estimation through text-guided multimodal learning. Neurocomputing Jun Wang, Hao Ruan, Liangjian Wen, Yong Dai, Mingjie Wang
2026	J	`jnl`	MRDNet: Multivariable Relational Decomposition Network for Multivariate Time Series Forecasting. Knowl. Based Syst. Ao Hu, Liangjian Wen, Mingyi Zhang, Yong Dai, Dongkai Wang, Jun Wang, Jiang Duan
2026	J	`jnl`	TimeCNN: Refining inscross-variable interaction on time point for time series forecasting. Neural Networks Ao Hu, Liangjian Wen, Yong Dai, Shiyi Qi, Jun Wang, Zhi Chen, Xun Zhou, Dongkai Wang, Zenglin Xu, Jiang Duan
2025	—	`conf`	Adaptive Downscaling on Inputs Improves Time Series Classification. PRCV (4) Xuanxuan Li, Zenglin Xu, Liangjian Wen, Xun Zhou, Jinghua Wang
2025	A*	`conf`	Disentangling Homophily and Heterophily in Multimodal Graph Clustering. ACM Multimedia Zhaochen Guo, Zhixiang Shen, Xuanting Xie, Liangjian Wen, Zhao Kang
2025	J	`jnl`	Disentangling Homophily and Heterophily in Multimodal Graph Clustering. CoRR Zhaochen Guo, Zhixiang Shen, Xuanting Xie, Liangjian Wen, Zhao Kang
2025	A*	`conf`	Generalizable Object Keypoint Localization from Generative Priors. CVPR Dongkai Wang, Jiang Duan, Liangjian Wen, Shiyu Xuan, Hao Chen, Shiliang Zhang
2025	J	`jnl`	InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions. CoRR Liangjian Wen, Qun Dai, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan
2025	J	`jnl`	UniAPL: A Unified Adversarial Preference Learning Framework for Instruct-Following. CoRR FaQiang Qian, Weikun Zhang, Ziliang Wang, Kang An, Xuhui Zheng, Liangjian Wen, Mengya Gao, Yong Dai, Yichao Wu
2025	J	`jnl`	Web-CogReasoner: Towards Knowledge-Induced Cognitive Reasoning for Web Agents. CoRR Yuhan Guo, Cong Guo, Aiwen Sun, Hongliang He, Xinyu Yang, Yue Lu, Yingji Zhang, Xuntao Guo, Dong Zhang, Jianzhuang Liu, Jiang Duan, Yijia Xiao, Liangjian Wen, Hai-Ming Xu, Yong Dai
2024	J	`jnl`	Cross-Scale Attention for Long-Term Time Series Forecasting. IEEE Signal Process. Lett. Liangjian Wen, Quan Hu, Cong Guo, Ao Hu, Mingyi Zhang
2024	J	`jnl`	Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling. CoRR Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
2024	J	`jnl`	MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu
2024	J	`jnl`	MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck. CoRR Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu
2024	J	`jnl`	PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi
2024	J	`jnl`	TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting. CoRR Ao Hu, Dongkai Wang, Yong Dai, Shiyi Qi, Liangjian Wen, Jun Wang, Zhi Chen, Xun Zhou, Zenglin Xu, Jiang Duan
2023	A	`conf`	Generative Oversampling for Imbalanced Data via Majority-Guided VAE. AISTATS Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
2023	J	`jnl`	Generative Oversampling for Imbalanced Data via Majority-Guided VAE. CoRR Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
2022	J	`jnl`	AFINet: Attentive Feature Integration Networks for image classification. Neural Networks Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu
2022	A	`conf`	LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling. ICCAD Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu
2022	—	`conf`	Self-Supervision Can Be a Good Few-Shot Learner. ECCV (19) Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian
2022	J	`jnl`	Self-Supervision Can Be a Good Few-Shot Learner. CoRR Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian
2022	A*	`conf`	Structure-Preserving Graph Representation Learning. ICDM Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu
2022	J	`jnl`	Structure-Preserving Graph Representation Learning. CoRR Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu
2021	J	`jnl`	AFINet: Attentive Feature Integration Networks for Image Classification. CoRR Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu
2021	A	`conf`	Boosting Few-Shot Classification with View-Learnable Contrastive Learning. ICME Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu
2021	J	`jnl`	Boosting Few-Shot Classification with View-Learnable Contrastive Learning. CoRR Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu
2021	J	`jnl`	ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. CoRR Qingzhong Ai, Lirong He, Liangjian Wen, Shiyu Liu, Zenglin Xu
2021	J	`jnl`	Gradient estimation of information measures in deep learning. Knowl. Based Syst. Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu
2021	A*	`conf`	Rectifying the Shortcut Learning of Background for Few-Shot Learning. NeurIPS Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian
2021	J	`jnl`	Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition. CoRR Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian
2021	A*	`conf`	Self-supervised Consensus Representation Learning for Attributed Graph. ACM Multimedia Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian
2021	J	`jnl`	Self-supervised Consensus Representation Learning for Attributed Graph. CoRR Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian
2020	A*	`conf`	Mutual Information Gradient Estimation for Representation Learning. ICLR Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
2020	J	`jnl`	Mutual Information Gradient Estimation for Representation Learning. CoRR Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
2020	J	`jnl`	Structured pruning of recurrent neural networks through neuron selection. Neural Networks Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu
2019	J	`jnl`	Low-rank Kernel Learning for Graph-based Clustering. CoRR Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu
2019	J	`jnl`	Low-rank kernel learning for graph-based clustering. Knowl. Based Syst. Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu