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Zhihao Wen
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2020 – today
- 2025
- [j2]Pengcheng Wei, Yuan Fang, Zhihao Wen, Zheng Xiao
, Binbin Chen:
An end-to-end bi-objective approach to deep graph partitioning. Neural Networks 181: 106823 (2025) - 2024
- [j1]Zhihao Wen, Yuan Fang:
Prompt Tuning on Graph-Augmented Low-Resource Text Classification. IEEE Trans. Knowl. Data Eng. 36(12): 9080-9095 (2024) - [c10]Zhihao Wen, Jie Zhang, Yuan Fang:
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning. ACL (Findings) 2024: 1241-1257 - [c9]Caipeng Gu, Jijing Cai, Zhihao Wen, Jiefan Qiu, Wei Wang, Meilei Lv, Kai Fang:
Visible Light Secure Communication Method for Internet of Vehicles. CSCWD 2024: 139-144 - [c8]Yuyan Chen
TemporalMed: Advancing Medical Dialogues with Time-Aware Responses in Large Language Models. WSDM 2024: 116-124 - [i10]Xingtong Yu, Yuan Fang, Zemin Liu, Yuxia Wu, Zhihao Wen, Jianyuan Bo, Xinming Zhang, Steven C. H. Hoi:
Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting. CoRR abs/2402.01440 (2024) - [i9]Zhihao Wen, Jie Zhang, Yuan Fang:
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning. CoRR abs/2402.11896 (2024) - [i8]Zhihao Wen, Yuan Fang, Pengcheng Wei, Fayao Liu, Zhenghua Chen, Min Wu:
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction. CoRR abs/2405.04336 (2024) - [i7]Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao:
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. CoRR abs/2407.04118 (2024) - [i6]Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. CoRR abs/2407.04121 (2024) - 2023
- [c7]Yuyan Chen
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. CIKM 2023: 245-255 - [c6]Zhihao Wen
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. CIKM 2023: 4864-4870 - [c5]Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao:
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. EMNLP (Findings) 2023: 3279-3304 - [c4]Zhihao Wen
Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR 2023: 506-516 - [c3]Zhihao Wen
Generalizing Graph Neural Network across Graphs and Time. WSDM 2023: 1214-1215 - [i5]Zhihao Wen, Yuan Fang:
Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. CoRR abs/2305.03324 (2023) - [i4]Zhihao Wen, Yuan Fang:
Prompt Tuning on Graph-augmented Low-resource Text Classification. CoRR abs/2307.10230 (2023) - [i3]Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo, Shuji Hao:
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. CoRR abs/2308.10028 (2023) - 2022
- [c2]Zhihao Wen, Yuan Fang
TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW 2022: 1159-1169 - [i2]Zhihao Wen, Yuan Fang:
TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. CoRR abs/2203.14303 (2022) - 2021
- [c1]Zhihao Wen, Yuan Fang
Meta-Inductive Node Classification across Graphs. SIGIR 2021: 1219-1228 - [i1]Zhihao Wen, Yuan Fang, Zemin Liu:
Meta-Inductive Node Classification across Graphs. CoRR abs/2105.06725 (2021)
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