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2020 – today
- 2024
[c14]Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang:
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion. CVPR 2024: 4092-4101- [c13]Xian Zhang
, Haokun Wen, Jianlong Wu, Pengda Qin, Hui Xue', Liqiang Nie:
Differential-Perceptive and Retrieval-Augmented MLLM for Change Captioning. ACM Multimedia 2024: 4148-4157 - [c12]Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen:
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. WACV 2024: 2908-2918 - [i16]Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang:
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion. CoRR abs/2404.00292 (2024) - [i15]Muhe Ding, Jianlong Wu, Xue Dong, Xiaojie Li, Pengda Qin, Tian Gan, Liqiang Nie:
Preview-based Category Contrastive Learning for Knowledge Distillation. CoRR abs/2410.14143 (2024) - [i14]Muhe Ding, Yang Ma, Pengda Qin, Jianlong Wu, Yuhong Li, Liqiang Nie:
RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training. CoRR abs/2410.14154 (2024) - 2023
- [c11]Zi Qian, Xin Wang, Xuguang Duan, Pengda Qin, Yuhong Li, Wenwu Zhu:
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering. ICCV 2023: 2941-2950 - [c10]Chaorui Deng, Qi Chen, Pengda Qin, Da Chen, Qi Wu:
Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval. ICCV 2023: 15602-15612 - [i13]Chaorui Deng, Qi Chen, Pengda Qin, Da Chen, Qi Wu:
Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval. CoRR abs/2308.07648 (2023) - [i12]Shupeng Cheng, Ge-Peng Ji, Pengda Qin, Deng-Ping Fan, Bowen Zhou, Peng Xu:
Large Model Based Referring Camouflaged Object Detection. CoRR abs/2311.17122 (2023) - 2022
- [i11]Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen:
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. CoRR abs/2211.10950 (2022) - 2021
- [i10]Pengda Qin, Yuhong Li, Kefeng Deng, Qiang Wu:
TVDIM: Enhancing Image Self-Supervised Pretraining via Noisy Text Data. CoRR abs/2106.01797 (2021) - [i9]Runshi Liu, Pengda Qin, Yuhong Li, Weigao Wen, Dong Li, Kefeng Deng, Qiang Wu:
InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping. CoRR abs/2106.06905 (2021) - 2020
- [c9]Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. AAAI 2020: 8673-8680 - [c8]Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. AAAI 2020: 9193-9200 - [i8]Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. CoRR abs/2001.02332 (2020)
2010 – 2019
- 2019
- [c7]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. ACL (1) 2019: 3696-3709 - [c6]Siyao Li, Deren Lei, Pengda Qin, William Yang Wang:
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. EMNLP/IJCNLP (1) 2019: 6037-6043 - [i7]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. CoRR abs/1905.12866 (2019) - [i6]Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. CoRR abs/1908.05378 (2019) - [i5]Siyao Li, Deren Lei, Pengda Qin, William Yang Wang:
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. CoRR abs/1909.00141 (2019) - 2018
- [c5]Pengda Qin, Weiran Xu, William Yang Wang:
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. ACL (1) 2018: 496-505 - [c4]Pengda Qin, Weiran Xu, William Yang Wang:
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. ACL (1) 2018: 2137-2147 - [i4]Pengda Qin, Weiran Xu, William Yang Wang:
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. CoRR abs/1805.09927 (2018) - [i3]Pengda Qin, Weiran Xu, William Yang Wang:
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. CoRR abs/1805.09929 (2018) - 2017
- [j4]Pengda Qin, Weiran Xu, Jun Guo:
Providing Definitive Learning Direction for Relation Classification System. J. Control. Sci. Eng. 2017: 3924641:1-3924641:10 (2017) - [j3]Chunyun Zhang, Pengda Qin, Yilong Yin:
基于卷积神经网络的自适应权重multi-gram语句建模系统 (Self-adaptation Multi-gram Weight Learning Strategy for Sentence Representation Based on Convolutional Neural Network). 计算机科学 44(1): 60-64 (2017) - [c3]Pengda Qin, Weiran Xu, Jun Guo:
Designing an adaptive attention mechanism for relation classification. IJCNN 2017: 4356-4362 - [c2]Pengda Qin, Weiran Xu, Jun Guo:
A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks. PAKDD (2) 2017: 3-14 - 2016
- [j2]Pengda Qin, Weiran Xu, Jun Guo:
A novel negative sampling based on TFIDF for learning word representation. Neurocomputing 177: 257-265 (2016) - [j1]Pengda Qin, Weiran Xu, Jun Guo:
An empirical convolutional neural network approach for semantic relation classification. Neurocomputing 190: 1-9 (2016) - [c1]Yidong Jia, Weiran Xu, Pengda Qin, Zuyi Bao:
Fine-grained entity typing for knowledge base completion. IC-NIDC 2016: 361-365 - [i2]Zuyi Bao, Yao Lu, Tian Tian, Dongyun Liang, Yinge Zhao, Zhichao Li, Pengda Qin, Weiran Xu:
DoughnutPRIS at TAC KBP 2016. TAC 2016 - 2015
- [i1]Pengda Qin, Chaoyi Ma, Yidong Jia, Wei Wang, Zhengkuan Zhang, Zuyi Bao, Weiran Xu, Jun Guo:
BUPT_PRIS at TAC KBP 2015. TAC 2015
Coauthor Index
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