| 2026 | KDD | Towards Trustworthy Multimodal Moderation via Policy-Aligned Reasoning and Hierarchical Labeling. | Anqi Li, Wenwei Jin, Jintao Tong, Pengda Qin, Jiawei Li, Guo Lu |
| 2024 | CVPR | 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 |
| 2024 | WACV | Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. | Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen |
| 2023 | ICCV | Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval. | Chaorui Deng, Qi Chen, Pengda Qin, Da Chen, Qi Wu |
| 2023 | ICCV | Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering. | Zi Qian, Xin Wang, Xuguang Duan, Pengda Qin, Yuhong Li, Wenwu Zhu |
| 2020 | AAAI | Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. | Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang |
| 2020 | AAAI | Multi-Task Self-Supervised Learning for Disfluency Detection. | Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang |
| 2019 | ACL | Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. | Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang |
| 2019 | EMNLP | Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. | Siyao Li, Deren Lei, Pengda Qin, William Yang Wang |
| 2018 | ACL | DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. | Pengda Qin, Weiran Xu, William Yang Wang |
| 2018 | ACL | Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. | Pengda Qin, Weiran Xu, William Yang Wang |
| 2017 | IJCNN | Designing an adaptive attention mechanism for relation classification. | Pengda Qin, Weiran Xu, Jun Guo |
| 2017 | PAKDD | A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks. | Pengda Qin, Weiran Xu, Jun Guo |