Dan Zhang
Dan Zhang
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Libdx: A cross-platform and accurate system to detect third-party libraries in binary code
W Tang, P Luo, J Fu, D Zhang
SANER 2020, 104-115, 2020
WinGNN: dynamic graph neural networks with random gradient aggregation window
Y Zhu, F Cong, D Zhang, W Gong, Q Lin, W Feng, Y Dong, J Tang
KDD 2023, 3650-3662, 2023
Sciglm: Training scientific language models with self-reflective instruction annotation and tuning
D Zhang, Z Hu, S Zhoubian, Z Du, K Yang, Z Wang, Y Yue, Y Dong, ...
arXiv preprint arXiv:2401.07950, 2024
ApeGNN: node-wise adaptive aggregation in GNNs for recommendation
D Zhang, Y Zhu, Y Dong, Y Wang, W Feng, E Kharlamov, J Tang
WWW 2023, 759-769, 2023
Dropconn: Dropout connection based random gnns for molecular property prediction
D Zhang, W Feng, Y Wang, Z Qi, Y Shan, J Tang
TKDE 2024, 2023
Osldetector: Identifying open-source libraries through binary analysis
D Zhang, P Luo, W Tang, M Zhou
ASE 2020, 1312-1315, 2020
Detecting Social Bot on the Fly using Contrastive Learning
M Zhou, D Zhang, Y Wang, YA Geng, J Tang
CIKM 2023, 4995-5001, 2023
AutoRE: Document-Level Relation Extraction with Large Language Models
X Lilong, Z Dan, D Yuxiao, T Jie
ACL 2024, 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
D Zhang, S Zhoubian, Y Yue, Y Dong, J Tang
arXiv preprint arXiv:2406.03816, 2024
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
F Zhang, S Shi, Y Zhu, B Chen, Y Cen, J Yu, Y Chen, L Wang, Q Zhao, ...
KDD 2024, 2024
RecDCL: Dual Contrastive Learning for Recommendation
D Zhang, Y Geng, W Gong, Z Qi, Z Chen, X Tang, Y Shan, Y Dong, J Tang
WWW 2024 (Oral), 2024
Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks
M Zhou, W Feng, Y Zhu, D Zhang, Y Dong, J Tang
ECML-PKDD 2023 (Best Student Paper), 207-224, 2023
LGB: Language Model and Graph Neural Network-Driven Social Bot Detection
M Zhou, D Zhang, Y Wang, Y Geng, Y Dong, J Tang
arXiv preprint arXiv:2406.08762, 2024
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