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Peijin Guo
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2020 – today
- 2025
[j2]Minghui Li, Yao Shi, Shengqing Hu, Shengshan Hu, Peijin Guo, Wei Wan
, Leo Yu Zhang
, Shirui Pan
, Jizhou Li
, Lichao Sun, Xiaoli Lan:
MVSF-AB: accurate antibody-antigen binding affinity prediction via multi-view sequence feature learning. Bioinform. 41(5) (2025)
[c6]Minghui Li, Yuanhang Wang, Peijin Guo, Wei Wan, Shengshan Hu, Shengqing Hu:
HiF-DTA: Hierarchical Feature Learning Network for Drug-Target Affinity Prediction. BIBM 2025: 1749-1754
[c5]Minghui Li, Lei Yu, Hewen Pan, Shengqing Hu, Longling Zhang, Shengshan Hu, Wei Wan
, Peijin Guo:
An Efficient Residual-based Low-dose PET Reconstruction with Spatial-Frequency Integration. ICASSP 2025: 1-5
[c4]Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Changgan Yin, Minghui Li, Lulu Xue, Yichen Wang, Shengshan Hu, Aishan Liu, Peijin Guo, Leo Yu Zhang:
BadRobot: Jailbreaking Embodied LLM Agents in the Physical World. ICLR 2025
[c3]Peijin Guo, Minghui Li, Hewen Pan, Ruixiang Huang, Lulu Xue, Shengqing Hu, Zikang Guo, Wei Wan, Shengshan Hu:
Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction. ICME 2025: 1-6
[c2]Peijin Guo, Minghui Li, Hewen Pan, Bowen Chen, Yang Wu, Zikang Guo, Leo Yu Zhang, Shengshan Hu, Shengqing Hu:
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning. ECML/PKDD (3) 2025: 300-316
[i8]Peijin Guo, Minghui Li, Hewen Pan, Ruixiang Huang, Lulu Xue, Shengqing Hu, Zikang Guo, Wei Wan
, Shengshan Hu:
Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction. CoRR abs/2503.17666 (2025)
[i7]Peijin Guo, Minghui Li, Hewen Pan, Bowen Chen, Yang Wu, Zikang Guo, Leo Yu Zhang, Shengshan Hu, Shengqing Hu:
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning. CoRR abs/2506.00936 (2025)
[i6]Lulu Xue, Shengshan Hu, Wei Lu, Yan Shen, Dongxu Li, Peijin Guo, Ziqi Zhou, Minghui Li, Yanjun Zhang
, Leo Yu Zhang:
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification, Challenges, and Future Directions. CoRR abs/2506.15115 (2025)
[i5]Yichen Wang, Hangtao Zhang
, Hewen Pan, Ziqi Zhou, Xianlong Wang, Peijin Guo, Lulu Xue, Shengshan Hu, Minghui Li, Leo Yu Zhang:
ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied Agents. CoRR abs/2509.16645 (2025)
[i4]Minghui Li, Yuanhang Wang, Peijin Guo, Wei Wan, Shengshan Hu, Shengqing Hu:
HiF-DTA: Hierarchical Feature Learning Network for Drug-Target Affinity Prediction. CoRR abs/2510.27281 (2025)
[i3]Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang
, Dayong Ye, Leo Yu Zhang:
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure. CoRR abs/2512.16126 (2025)- 2024
[c1]Minghui Li, Zikang Guo, Yang Wu, Peijin Guo, Yao Shi, Shengshan Hu, Wei Wan
, Shengqing Hu:
ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion. BIBM 2024: 42-47
[i2]Xianlong Wang, Hewen Pan, Hangtao Zhang
, Minghui Li, Shengshan Hu, Ziqi Zhou, Lulu Xue, Peijin Guo, Yichen Wang
, Wei Wan
, Aishan Liu, Leo Yu Zhang:
TrojanRobot: Backdoor Attacks Against Robotic Manipulation in the Physical World. CoRR abs/2411.11683 (2024)
[i1]Minghui Li, Zikang Guo, Yang Wu, Peijin Guo, Yao Shi, Shengshan Hu, Wei Wan
, Shengqing Hu:
ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion. CoRR abs/2412.19589 (2024)- 2022
[j1]Peijin Guo
, Qinmiao Zhu
, Jingran Kang, Yuhui Wang, Wenqiang Hu:
Quality Assessment of RSW Based on Transfer Learning and Imbalanced Multi-Class Classification Algorithm. IEEE Access 10: 113619-113630 (2022)
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