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Zikang Guo
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2020 – today
- 2026
[c10]Zikang Guo, Benfeng Xu, Chiwei Zhu, Wentao Hong, Xiaorui Wang, Zhendong Mao:
MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools. AAAI 2026: 30888-30896- 2025
[c9]Kaijie Jiao, Quan Wang, Licheng Zhang, Zikang Guo, Zhendong Mao:
M-RangeDetector: Enhancing Generalization in Machine-Generated Text Detection through Multi-Range Attention Masks. ACL (Findings) 2025: 8971-8983
[c8]Kaijie Jiao, Xingyu Yao, Shixuan Ma, Sifan Fang, Zikang Guo, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao:
CMI-AIGCX at GenAI Detection Task 2: Leveraging Multilingual Proxy LLMs for Machine-Generated Text Detection in Academic Essays. COLING Workshops 2025: 290-298
[c7]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
[c6]Zikang Guo, Benfeng Xu, Xiaorui Wang, Zhendong Mao:
MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning. IJCAI 2025: 117-125
[c5]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
[i5]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)
[i4]Zikang Guo, Benfeng Xu, Xiaorui Wang, Zhendong Mao:
MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning. CoRR abs/2505.20670 (2025)
[i3]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)
[i2]Zikang Guo, Benfeng Xu, Chiwei Zhu, Wentao Hong, Xiaorui Wang, Zhendong Mao:
MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools. CoRR abs/2509.09734 (2025)- 2024
[c4]Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao:
Disentangled Learning with Synthetic Parallel Data for Text Style Transfer. ACL (1) 2024: 15187-15201
[c3]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
[c2]Quan Wang, Licheng Zhang, Zikang Guo, Zhendong Mao:
IDEATE: Detecting AI-Generated Text Using Internal and External Factual Structures. LREC/COLING 2024: 8556-8568
[c1]Zikang Guo, Kaijie Jiao, Xingyu Yao
, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao:
USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings. SemEval@NAACL 2024: 1511-1522
[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)
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