Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification. - Peng Zhou 009; Wei Shi; Jun Tian; Zhenyu Qi 003; Bingchen Li; Hongwei Hao; Bo Xu 002 (ACL (2), 2016)

Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling. - Peng Zhou 009; Zhenyu Qi 003; Suncong Zheng; Jiaming Xu 001; Hongyun Bao; Bo Xu 002 (COLING, 2016)

A neural network framework for relation extraction: Learning entity semantic and relation pattern. - Suncong Zheng; Jiaming Xu 001; Peng Zhou 009; Hongyun Bao; Zhenyu Qi 003; Bo Xu 002 (Knowl. Based Syst., 2016)

Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme. - Suncong Zheng; Feng Wang 023; Hongyun Bao; Yuexing Hao; Peng Zhou 009; Bo Xu 002 (ACL (1), 2017)

Joint Extraction of Multiple Relations and Entities by Using a Hybrid Neural Network. - Peng Zhou 009; Suncong Zheng; Jiaming Xu 001; Zhenyu Qi 003; Hongyun Bao; Bo Xu 002 (CCL, 2017)

Two-Stream Neural Networks for Tampered Face Detection. - Peng Zhou 009; Xintong Han; Vlad I. Morariu; Larry S. Davis (CVPR Workshops, 2017)

Learning Rich Features for Image Manipulation Detection. - Peng Zhou 009; Xintong Han; Vlad I. Morariu; Larry S. Davis (CVPR, 2018)

Generate, Segment and Replace: Towards Generic Manipulation Segmentation. - Peng Zhou 009; Bor-Chun Chen; Xintong Han; Mahyar Najibi; Larry S. Davis (CoRR, 2018)

Distant supervision for relation extraction with hierarchical selective attention. - Peng Zhou 009; Jiaming Xu 001; Zhenyu Qi 003; Hongyun Bao; Zhineng Chen; Bo Xu 002 (Neural Networks, 2018)

M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning. - Peng Zhou 009; Long Mai; Jianming Zhang 001; Ning Xu 007; Zuxuan Wu; Larry S. Davis (CoRR, 2019)

Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. - Peng Zhou 009; Bor-Chun Chen; Xintong Han; Mahyar Najibi; Abhinav Shrivastava; Ser-Nam Lim; Larry Davis 001 (AAAI, 2020)

M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation. - Peng Zhou 009; Long Mai; Jianming Zhang 001; Ning Xu 007; Zuxuan Wu; Larry Davis 001 (BMVC, 2020)

Deepstrip: High-Resolution Boundary Refinement. - Peng Zhou 009; Brian L. Price; Scott Cohen; Gregg Wilensky; Larry S. Davis (CVPR, 2020)

Inclusive GAN: Improving Data and Minority Coverage in Generative Models. - Ning Yu 006; Ke Li 011; Peng Zhou 009; Jitendra Malik; Larry Davis 001; Mario Fritz (ECCV (22), 2020)

Deep Learning for Forensics. - Peng Zhou 009 (2020)

Deep Video Inpainting Detection. - Peng Zhou 009; Ning Yu 006; Zuxuan Wu; Larry Davis 001; Abhinav Shrivastava; Ser-Nam Lim (BMVC, 2021)

Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning. - Bingchen Huang; Zhineng Chen; Peng Zhou 009; Jiayin Chen; Zuxuan Wu (AAAI, 2023)

Learning to Rank Patches for Unbiased Image Redundancy Reduction. - Yang Luo; Zhineng Chen; Peng Zhou 009; Zuxuan Wu; Xieping Gao; Yu-Gang Jiang 001 (CVPR, 2024)