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2020 – today
- 2024
[c31]Chenxi Sun, Hongzhi Zhang, Zijia Lin, Jingyuan Zhang, Fuzheng Zhang, Zhongyuan Wang, Bin Chen, Chengru Song, Di Zhang, Kun Gai, Deyi Xiong:
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs. LREC/COLING 2024: 4476-4487- [c30]Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
Rep ViT: Revisiting Mobile CNN From ViT Perspective. CVPR 2024: 15909-15920 - [c29]Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding:
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. ECAI 2024: 2098-2105 - [c28]Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence. ECCV (1) 2024: 228-246 - [c27]Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding:
PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation. ECCV (9) 2024: 455-473 - [c26]Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding:
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks. IJCAI 2024: 6587-6596 - [c25]Zhenpeng Su, Zijia Lin, Bai Xue, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu:
MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models. NAACL-HLT (Findings) 2024: 250-262 - [c24]Guangyuan Ma
, Xing Wu, Zijia Lin, Songlin Hu:
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval. SIGIR 2024: 1818-1827 - [i28]Guangyuan Ma, Xing Wu, Zijia Lin, Songlin Hu:
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval. CoRR abs/2401.11248 (2024) - [i27]Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding:
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation. CoRR abs/2403.09192 (2024) - [i26]Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Jianwei Niu, Guiguang Ding:
Temporal Scaling Law for Large Language Models. CoRR abs/2404.17785 (2024) - [i25]Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Peng Liu, Hui Chen, Guiguang Ding:
Scaffold-BPE: Enhancing Byte Pair Encoding with Simple and Effective Scaffold Token Removal. CoRR abs/2404.17808 (2024) - [i24]Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang:
Evaluating Concept-based Explanations of Language Models: A Study on Faithfulness and Readability. CoRR abs/2404.18533 (2024) - [i23]Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding:
YOLOv10: Real-Time End-to-End Object Detection. CoRR abs/2405.14458 (2024) - [i22]Chenxi Sun, Hongzhi Zhang, Zijia Lin, Jingyuan Zhang, Fuzheng Zhang, Zhongyuan Wang, Bin Chen, Chengru Song, Di Zhang, Kun Gai, Deyi Xiong:
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs. CoRR abs/2405.15208 (2024) - [i21]Zhenpeng Su, Zijia Lin, Xue Bai, Xing Wu, Yizhe Xiong, Haoran Lian, Guangyuan Ma, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu:
MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts. CoRR abs/2407.09816 (2024) - [i20]Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence. CoRR abs/2407.18899 (2024) - [i19]Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding:
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. CoRR abs/2409.06285 (2024) - [i18]Xiao Wang, Jianlong Wu, Zijia Lin, Fuzheng Zhang, Di Zhang, Liqiang Nie:
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding. CoRR abs/2409.19532 (2024) - 2023
- [c23]Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu:
ConTextual Masked Auto-Encoder for Dense Passage Retrieval. AAAI 2023: 4738-4746 - [c22]Xing Wu, Guangyuan Ma, Wanhui Qian, Zijia Lin, Songlin Hu:
Query-as-context Pre-training for Dense Passage Retrieval. EMNLP 2023: 1906-1916 - [c21]Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding:
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation. ICCV 2023: 11587-11597 - [c20]Ao Wang, Hui Chen, Zijia Lin, Zixuan Ding, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Guiguang Ding:
Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels. ACM Multimedia 2023: 5594-5604 - [i17]Xing Wu, Guangyuan Ma, Peng Wang, Meng Lin, Zijia Lin, Fuzheng Zhang, Songlin Hu:
CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval. CoRR abs/2304.03158 (2023) - [i16]Ao Wang, Hui Chen, Zijia Lin, Hengjun Pu, Guiguang Ding:
RepViT: Revisiting Mobile CNN From ViT Perspective. CoRR abs/2307.09283 (2023) - [i15]Guangyuan Ma, Xing Wu, Peng Wang, Zijia Lin, Songlin Hu:
Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval. CoRR abs/2308.08285 (2023) - [i14]Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding:
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation. CoRR abs/2309.15575 (2023) - [i13]Ao Wang, Hui Chen, Zijia Lin, Sicheng Zhao, Jungong Han, Guiguang Ding:
CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTs. CoRR abs/2309.15755 (2023) - [i12]Jia-Yi Fu, Lei Lin, Xiaoyang Gao, Pengli Liu, Zhengzong Chen, Zhirui Yang, Shengnan Zhang, Xue Zheng, Yan Li, Yuliang Liu, Xucheng Ye, Yiqiao Liao, Chao Liao, Bin Chen, Chengru Song, Junchen Wan, Zijia Lin, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai:
KwaiYiiMath: Technical Report. CoRR abs/2310.07488 (2023) - [i11]Zhenpeng Su, Xing Wu, Xue Bai, Zijia Lin, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu:
InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models. CoRR abs/2310.19531 (2023) - [i10]Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
RepViT-SAM: Towards Real-Time Segmenting Anything. CoRR abs/2312.05760 (2023) - 2022
- [c19]Xing Wu, Chaochen Gao, Zijia Lin, Zhongyuan Wang, Jizhong Han, Songlin Hu:
RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval. EMNLP (Findings) 2022: 3036-3047 - [c18]Xing Wu, Chaochen Gao, Zijia Lin, Jizhong Han, Zhongyuan Wang, Songlin Hu:
InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings. EMNLP (Findings) 2022: 3060-3070 - [i9]Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu:
ConTextual Mask Auto-Encoder for Dense Passage Retrieval. CoRR abs/2208.07670 (2022) - [i8]Xing Wu, Chaochen Gao, Zijia Lin, Jizhong Han, Zhongyuan Wang, Songlin Hu:
InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings. CoRR abs/2210.06432 (2022) - [i7]Xing Wu, Chaochen Gao, Zijia Lin, Zhongyuan Wang, Jizhong Han, Songlin Hu:
RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval. CoRR abs/2210.06881 (2022) - 2021
- [j12]Hui Chen, Guiguang Ding, Zijia Lin, Yuchen Guo, Caifeng Shan, Jungong Han:
Image Captioning with Memorized Knowledge. Cogn. Comput. 13(4): 807-820 (2021) - [j11]Yunqi Miao, Zijia Lin, Xiao Ma, Guiguang Ding, Jungong Han:
Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes. IEEE Trans. Image Process. 30: 7554-7566 (2021) - 2020
- [j10]Gengshen Wu, Zijia Lin, Guiguang Ding, Qiang Ni, Jungong Han:
On Aggregation of Unsupervised Deep Binary Descriptor With Weak Bits. IEEE Trans. Image Process. 29: 9266-9278 (2020) - [j9]Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Xiaopeng Gu, Wenyuan Xu, Jungong Han:
ACMNet: Adaptive Confidence Matching Network for Human Behavior Analysis via Cross-modal Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 27:1-27:21 (2020) - [c17]Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin:
Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources. AAAI 2020: 9274-9281 - [c16]Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han:
Shallow Feature Based Dense Attention Network for Crowd Counting. AAAI 2020: 11765-11772 - [c15]Qianhui Wu, Zijia Lin, Börje Karlsson, Jianguang Lou, Biqing Huang:
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language. ACL 2020: 6505-6514 - [c14]Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han:
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. CVPR 2020: 12652-12660 - [c13]Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jianguang Lou:
UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data. IJCAI 2020: 3926-3932 - [i6]Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han:
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. CoRR abs/2003.03772 (2020) - [i5]Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jianguang Lou, Biqing Huang:
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language. CoRR abs/2004.12440 (2020) - [i4]Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han:
Shallow Feature Based Dense Attention Network for Crowd Counting. CoRR abs/2006.09853 (2020) - [i3]Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jianguang Lou:
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data. CoRR abs/2007.07683 (2020)
2010 – 2019
- 2019
- [j8]Gengshen Wu, Jungong Han, Zijia Lin, Guiguang Ding, Baochang Zhang, Qiang Ni:
Joint Image-Text Hashing for Fast Large-Scale Cross-Media Retrieval Using Self-Supervised Deep Learning. IEEE Trans. Ind. Electron. 66(12): 9868-9877 (2019) - [c12]Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Börje Karlsson:
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition. AAAI 2019: 6236-6243 - [c11]Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han:
Cross-Modal Image-Text Retrieval with Semantic Consistency. ACM Multimedia 2019: 1749-1757 - [i2]Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Börje Karlsson:
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition. CoRR abs/1907.05611 (2019) - [i1]Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin:
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources. CoRR abs/1911.06161 (2019) - 2018
- [j7]Zijia Lin, Guiguang Ding, Jungong Han, Ling Shao:
End-to-End Feature-Aware Label Space Encoding for Multilabel Classification With Many Classes. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2472-2487 (2018) - [c10]Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie:
CoChat: Enabling Bot and Human Collaboration for Task Completion. AAAI 2018: 5301-5308 - [c9]Hui Chen, Guiguang Ding, Zijia Lin, Yuchen Guo, Jungong Han:
Attend to Knowledge: Memory-Enhanced Attention Network for Image Captioning. BICS 2018: 161-171 - [c8]Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han:
Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning. IJCAI 2018: 606-612 - [c7]Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen:
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. IJCAI 2018: 2854-2860 - 2017
- [j6]Guiguang Ding, Jile Zhou, Yuchen Guo, Zijia Lin, Sicheng Zhao, Jungong Han:
Large-scale image retrieval with Sparse Embedded Hashing. Neurocomputing 257: 24-36 (2017) - [j5]Wenshuo Chen, Guiguang Ding, Zijia Lin, Iyad Jafar, Jisheng Pei:
Accelerated Manhattan hashing via bit-remapping with location information. Multim. Tools Appl. 76(2): 2441-2466 (2017) - [j4]Zijia Lin, Guiguang Ding, Jungong Han, Jianmin Wang:
Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing. IEEE Trans. Cybern. 47(12): 4342-4355 (2017) - [j3]Li Liu, Zijia Lin, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han:
Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval. IEEE Trans. Image Process. 26(1): 107-118 (2017) - 2015
- [j2]Zijia Lin, Guiguang Ding, Mingqing Hu:
Image auto-annotation via tag-dependent random search over range-constrained visual neighbours. Multim. Tools Appl. 74(11): 4091-4116 (2015) - [c6]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang:
Semantics-preserving hashing for cross-view retrieval. CVPR 2015: 3864-3872 - 2014
- [j1]Zijia Lin, Guiguang Ding, Mingqing Hu, Yunzhen Lin, Shuzhi Sam Ge:
Image tag completion via dual-view linear sparse reconstructions. Comput. Vis. Image Underst. 124: 42-60 (2014) - [c5]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang:
Multi-label Classification via Feature-aware Implicit Label Space Encoding. ICML 2014: 325-333 - 2013
- [c4]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Xiaojun Ye:
Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions. CVPR 2013: 1618-1625 - [c3]Zijia Lin, Guiguang Ding, Mingqing Hu:
Multi-source image auto-annotation. ICIP 2013: 2567-2571 - 2012
- [c2]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Jiaguang Sun:
Automatic image annotation using tag-related random search over visual neighbors. CIKM 2012: 1784-1788 - 2011
- [c1]Zijia Lin, Guiguang Ding, Jianmin Wang:
Image annotation based on recommendation model. SIGIR 2011: 1097-1098
Coauthor Index
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last updated on 2024-11-04 21:42 CET by the dblp team
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