no code implementations • CVPR 2015 • Liping Jing, Liu Yang, Jian Yu, Michael K. Ng
SLRM model takes advantage of the nuclear norm regularization on mapping to effectively capture the label correlations.
no code implementations • 18 Mar 2018 • Juanying Xie, Qi Hou, Yinghuan Shi, Lv Peng, Liping Jing, Fuzhen Zhuang, Junping Zhang, Xiaoyang Tang, Shengquan Xu
We delete those species with only one living environment image from data set, then partition the rest images from living environment into two subsets, one used as test subset, the other as training subset respectively combined with all standard pattern butterfly images or the standard pattern butterfly images with the same species of the images from living environment.
1 code implementation • 24 May 2019 • Xin Huang, Boli Chen, Lin Xiao, Liping Jing
Extreme multi-label text classification (XMTC) aims at tagging a document with most relevant labels from an extremely large-scale label set.
Ranked #1 on Multi-Label Text Classification on Amazon-12K
1 code implementation • 26 May 2019 • Boli Chen, Xin Huang, Lin Xiao, Zixin Cai, Liping Jing
The main reason is that the tree-likeness of the hyperbolic space matches the complexity of symbolic data with hierarchical structures.
1 code implementation • IJCNLP 2019 • Lin Xiao, Xin Huang, Boli Chen, Liping Jing
Multi-label text classification (MLTC) aims to tag most relevant labels for the given document.
Ranked #1 on Multi-Label Text Classification on AAPD
1 code implementation • ECCV 2020 • Di Hu, Xuhong LI, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou
With the help of this dataset, we evaluate three proposed approaches for transferring the sound event knowledge to the aerial scene recognition task in a multimodal learning framework, and show the benefit of exploiting the audio information for the aerial scene recognition.
no code implementations • ACL 2020 • Boli Chen, Xin Huang, Lin Xiao, Liping Jing
Second, Hyperbolic Dynamic Routing (HDR) is introduced to aggregate hyperbolic capsules in a label-aware manner, so that the label-level discriminative information can be preserved along the depth of neural networks.
2 code implementations • ICCV 2021 • Jiaqi Wang, Huafeng Liu, Xinyue Wang, Liping Jing
This plug-in embedding space is spanned by transparent basis concepts which are constructed on the Grassmann manifold.
1 code implementation • 24 Jan 2021 • Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song
To address the challenge of insufficient training data on tail label classification, we propose a Head-to-Tail Network (HTTN) to transfer the meta-knowledge from the data-rich head labels to data-poor tail labels.
1 code implementation • ICLR 2021 • Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing
We introduce a Poincare probe, a structural probe projecting these embeddings into a Poincare subspace with explicitly defined hierarchies.
no code implementations • CVPR 2021 • Huafeng Liu, Jiaqi Wang, Liping Jing
In this paper, we propose Cluster-wise Hierarchical Generative Model for deep amortized clustering (CHiGac).
no code implementations • ACL 2021 • Xuetao Tian, Liping Jing, Lu He, Feng Liu
Relational triple extraction is critical to understanding massive text corpora and constructing large-scale knowledge graph, which has attracted increasing research interest.
no code implementations • EMNLP 2021 • Mingyang Song, Liping Jing, Lin Xiao
Keyphrase extraction is a fundamental task in Natural Language Processing, which usually contains two main parts: candidate keyphrase extraction and keyphrase importance estimation.
no code implementations • 14 Dec 2021 • Mingyang Song, Liping Jing
Among them, the extractor identifies the salient sentences from the input document, and the abstractor generates a summary from the salient sentences.
no code implementations • 14 Dec 2021 • Mingyang Song, Yi Feng, Liping Jing
Document summarization, as a fundamental task in natural language generation, aims to generate a short and coherent summary for a given document.
no code implementations • 17 Dec 2021 • Mingyang Song, Liping Jing
Specifically, a neural topic model is added in the neural-based sentence-level representation learning to adequately consider the central topic information for capturing the critical content in the original document.
no code implementations • 7 Jan 2022 • Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu
The proposed GIM module and InBN mechanism are general and applicable to different backbone types including CNN and Transformer for improvements, as evidenced by our extensive experiments on multiple benchmarks.
1 code implementation • NAACL 2022 • Mingyang Song, Yi Feng, Liping Jing
Meanwhile, considering the hierarchical structure hidden in the document, HyperMatch embeds both phrases and documents in the same hyperbolic space via a hyperbolic phrase encoder and a hyperbolic document encoder.
no code implementations • AAAI 2022 • Huafeng Liu, Tong Zhou, Jiaqi Wang, Liping Jing
In this paper, we propose Deep amortized Relational Model (DaRM) with group-wise hierarchical generative process for community discovery and link prediction on relational data (e. g., graph, network).
1 code implementation • 3 Jul 2022 • Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing
By revealing the potential of VL representation, we expect the community to divert more attention to VL tracking and hope to open more possibilities for future tracking beyond Transformer.
no code implementations • 24 Sep 2022 • Zhengwei Fang, Rui Wang, Tao Huang, Liping Jing
In this paper, we propose Multiple Asymptotically Normal Distribution Attacks (MultiANDA), a novel method that explicitly characterizes adversarial perturbations from a learned distribution.
no code implementations • MM '22: Proceedings of the 30th ACM International Conference on Multimedia 2022 • Huafeng Liu, Liping Jing, Dahai Yu, Mingjie Zhou, Michael Ng
In this paper, we propose an intention neural process model (INP) for user cold-start recommendation (i. e., user with very few historical interactions), a novel extension of the neural stochastic process family using a general meta learning strategy with intrinsic and extrinsic intention learning for robust user preference learning.
no code implementations • 19 Nov 2022 • Lin Xiao, Pengyu Xu, Liping Jing, Xiangliang Zhang
In response, we propose a Pairwise Instance Relation Augmentation Network (PIRAN) to augment tailed-label documents for balancing tail labels and head labels.
Multi Label Text Classification Multi-Label Text Classification +2
no code implementations • Science China Information Sciences 2023 • Yilin Lyu, Liping Jing, Jiaqi Wang, Mingzhe Guo, Xinyue Wang & Jian Yu
In particular, one subnetwork is for coarse-scale patches to learn the discriminative regions with the aid of the innate multi-head self-attention mechanism of the transformer.
1 code implementation • IEEE Transactions on Pattern Analysis and Machine Intelligence 2023 • Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, and Tieyong Zeng
In this paper, a deep generative classifier is proposed to mitigate this issue via both model perturbation and data perturbation.
1 code implementation • 23 Mar 2023 • Mingyang Song, Haiyun Jiang, Shuming Shi, Songfang Yao, Shilong Lu, Yi Feng, Huafeng Liu, Liping Jing
Based on our findings, we conclude that ChatGPT has great potential for keyphrase generation.
1 code implementation • 28 Apr 2023 • Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing
The recent PAC-Bayes IB uses information complexity instead of information compression to establish a connection with the mutual information generalization bound.
1 code implementation • 19 Jul 2023 • Mingzhe Guo, Zhipeng Zhang, Liping Jing, Haibin Ling, Heng Fan
To thoroughly evidence the effectiveness of our method, we integrate the proposed framework on three tracking methods with different designs, i. e., the CNN-based SiamCAR, the Transformer-based OSTrack, and the hybrid structure TransT.
no code implementations • 9 Oct 2023 • Bing Liu, Pengyu Xu, Sijin Lu, Shijing Wang, Hongjian Sun, Liping Jing
With the development of Internet technology and the expansion of social networks, online platforms have become an important way for people to obtain information.
1 code implementation • 23 Dec 2023 • Mingyang Song, Xuelian Geng, Songfang Yao, Shilong Lu, Yi Feng, Liping Jing
Zero-shot keyphrase extraction aims to build a keyphrase extractor without training by human-annotated data, which is challenging due to the limited human intervention involved.
no code implementations • 6 Feb 2024 • Sijin Lu, Pengyu Xu, Bing Liu, Hongjian Sun, Liping Jing, Jian Yu
For the retrieval-augmented representations, we employ a cross-modal context-aware attention to leverage the main modality description for targeted feature extraction across the submodalities title and code.
no code implementations • 5 Mar 2024 • Yu Chen, Liyan Ma, Liping Jing, Jian Yu
Humans can easily distinguish the known and unknown categories and can recognize the unknown object by learning it once instead of repeating it many times without forgetting the learned object.