Pengda Qin

According to our database, Pengda Qin authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training.

Muhe Ding, Yang Ma, Pengda Qin, Jianlong Wu, Yuhong Li, Liqiang Nie

CoRR, 2024

Preview-based Category Contrastive Learning for Knowledge Distillation.

Muhe Ding, Jianlong Wu, Xue Dong, Xiaojie Li, Pengda Qin, Tian Gan, Liqiang Nie

CoRR, 2024

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models.

Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Differential-Perceptive and Retrieval-Augmented MLLM for Change Captioning.

Xian Zhang, Haokun Wen, Jianlong Wu, Pengda Qin, Hui Xue', Liqiang Nie

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion.

Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Large Model Based Referring Camouflaged Object Detection.

Shupeng Cheng, Ge-Peng Ji, Pengda Qin, Deng-Ping Fan, Bowen Zhou, Peng Xu

CoRR, 2023

Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering.

Zi Qian, Xin Wang, Xuguang Duan, Pengda Qin, Yuhong Li, Wenwu Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval.

Chaorui Deng, Qi Chen, Pengda Qin, Da Chen, Qi Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping.

Runshi Liu, Pengda Qin, Yuhong Li, Weigao Wen, Dong Li, Kefeng Deng, Qiang Wu

CoRR, 2021

TVDIM: Enhancing Image Self-Supervised Pretraining via Noisy Text Data.

Pengda Qin, Yuhong Li, Kefeng Deng, Qiang Wu

CoRR, 2021

2020

Multi-Task Self-Supervised Learning for Disfluency Detection.

Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs.

Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization.

Siyao Li, Deren Lei, Pengda Qin, William Yang Wang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention.

Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning.

Pengda Qin, Weiran Xu, William Yang Wang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction.

Pengda Qin, Weiran Xu, William Yang Wang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

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).

Chunyun Zhang, Pengda Qin, Yilong Yin

计算机科学, 2017

Providing Definitive Learning Direction for Relation Classification System.

Pengda Qin, Weiran Xu, Jun Guo

J. Control. Sci. Eng., 2017

A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks.

Pengda Qin, Weiran Xu, Jun Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Designing an adaptive attention mechanism for relation classification.

Pengda Qin, Weiran Xu, Jun Guo

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

An empirical convolutional neural network approach for semantic relation classification.

Pengda Qin, Weiran Xu, Jun Guo

Neurocomputing, 2016

A novel negative sampling based on TFIDF for learning word representation.

Pengda Qin, Weiran Xu, Jun Guo

Neurocomputing, 2016

DoughnutPRIS at TAC KBP 2016.

Zuyi Bao, Yao Lu, Tian Tian, Dongyun Liang, Yinge Zhao, Zhichao Li, Pengda Qin, Weiran Xu

Proceedings of the 2016 Text Analysis Conference, 2016

Fine-grained entity typing for knowledge base completion.

Yidong Jia, Weiran Xu, Pengda Qin, Zuyi Bao

Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016

2015

BUPT_PRIS at TAC KBP 2015.

Pengda Qin, Chaoyi Ma, Yidong Jia, Wei Wang, Zhengkuan Zhang, Zuyi Bao, Weiran Xu, Jun Guo

Proceedings of the 2015 Text Analysis Conference, 2015