Disentangled Learning with Synthetic Parallel Data for Text Style Transfer. - Jingxuan Han; Quan Wang 002; Zikang Guo; Benfeng Xu; Licheng Zhang; Zhendong Mao 001 (ACL (1), 2024)

ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion. - Minghui Li; Zikang Guo; Yang Wu; Peijin Guo; Yao Shi; Shengshan Hu; Wei Wan; Shengqing Hu (BIBM, 2024)

IDEATE: Detecting AI-Generated Text Using Internal and External Factual Structures. - Quan Wang 002; Licheng Zhang; Zikang Guo; Zhendong Mao 001 (LREC/COLING, 2024)

USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings. - Zikang Guo; Kaijie Jiao; Xingyu Yao; Yuning Wan; Haoran Li; Benfeng Xu; Licheng Zhang; Quan Wang 002; Yongdong Zhang 001; Zhendong Mao 001 (SemEval@NAACL, 2024)

M-RangeDetector: Enhancing Generalization in Machine-Generated Text Detection through Multi-Range Attention Masks. - Kaijie Jiao; Quan Wang 002; Licheng Zhang; Zikang Guo; Zhendong Mao 001 (ACL (Findings), 2025)

CMI-AIGCX at GenAI Detection Task 2: Leveraging Multilingual Proxy LLMs for Machine-Generated Text Detection in Academic Essays. - Kaijie Jiao; Xingyu Yao; Shixuan Ma; Sifan Fang; Zikang Guo; Benfeng Xu; Licheng Zhang; Quan Wang 002; Yongdong Zhang 001; Zhendong Mao 001 (COLING Workshops, 2025)

Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction. - Peijin Guo; Minghui Li; Hewen Pan; Ruixiang Huang; Lulu Xue; Shengqing Hu; Zikang Guo; Wei Wan; Shengshan Hu (CoRR, 2025)

MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning. - Zikang Guo; Benfeng Xu; Xiaorui Wang; Zhendong Mao 001 (CoRR, 2025)

Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning. - Peijin Guo; Minghui Li; Hewen Pan; Bowen Chen; Yang Wu; Zikang Guo; Leo Yu Zhang; Shengshan Hu; Shengqing Hu (CoRR, 2025)