Pengda Qin

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 29

Top Topics

Convolutional Neural Network

Dependency Trees

Knowledge Retrieval

Reinforcement Learning

Top Venues

Publications

Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. WACV (2024)
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 (2024)
Shupeng Cheng, Ge-Peng Ji, Pengda Qin, Deng-Ping Fan, Bowen Zhou, Peng Xu
Large Model Based Referring Camouflaged Object Detection. CoRR (2023)
Chaorui Deng, Qi Chen, Pengda Qin, Da Chen, Qi Wu
Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval. ICCV (2023)
Chaorui Deng, Qi Chen, Pengda Qin, Da Chen, Qi Wu
Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval. CoRR (2023)
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)
Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. CoRR (2022)
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 (2021)
Pengda Qin, Yuhong Li, Kefeng Deng, Qiang Wu
TVDIM: Enhancing Image Self-Supervised Pretraining via Noisy Text Data. CoRR (2021)
Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. AAAI (2020)
Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. CoRR (2020)
Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang
Multi-Task Self-Supervised Learning for Disfluency Detection. AAAI (2020)
Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang
Multi-Task Self-Supervised Learning for Disfluency Detection. CoRR (2019)
Siyao Li, Deren Lei, Pengda Qin, William Yang Wang
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. CoRR (2019)
Siyao Li, Deren Lei, Pengda Qin, William Yang Wang
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. EMNLP/IJCNLP (1) (2019)
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. CoRR (2019)
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. ACL (1) (2019)
Pengda Qin, Weiran Xu, William Yang Wang
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. ACL (1) (2018)
Pengda Qin, Weiran Xu, William Yang Wang
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. CoRR (2018)
Pengda Qin, Weiran Xu, William Yang Wang
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. ACL (1) (2018)
Pengda Qin, Weiran Xu, William Yang Wang
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. CoRR (2018)
Pengda Qin, Weiran Xu, Jun Guo
Providing Definitive Learning Direction for Relation Classification System. J. Control. Sci. Eng. 2017 (2017)
Pengda Qin, Weiran Xu, Jun Guo
A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks. PAKDD (2) (2017)
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) (2017)
Pengda Qin, Weiran Xu, Jun Guo
Designing an adaptive attention mechanism for relation classification. IJCNN (2017)
Pengda Qin, Weiran Xu, Jun Guo
A novel negative sampling based on TFIDF for learning word representation. Neurocomputing 177 (2016)
Pengda Qin, Weiran Xu, Jun Guo
An empirical convolutional neural network approach for semantic relation classification. Neurocomputing 190 (2016)
Yidong Jia, Weiran Xu, Pengda Qin, Zuyi Bao
Fine-grained entity typing for knowledge base completion. IC-NIDC (2016)
Zuyi Bao, Yao Lu, Tian Tian, Dongyun Liang, Yinge Zhao, Zhichao Li, Pengda Qin, Weiran Xu
DoughnutPRIS at TAC KBP 2016. TAC (2016)
Pengda Qin, Chaoyi Ma, Yidong Jia, Wei Wang, Zhengkuan Zhang, Zuyi Bao, Weiran Xu, Jun Guo
BUPT_PRIS at TAC KBP 2015. TAC (2015)