LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence Z Shi, X Liang, J Wang International Conference on Learning Representations, 2023 | 42 | 2023 |
Duality-induced regularizer for semantic matching knowledge graph embeddings J Wang, Z Zhang, Z Shi, J Cai, S Ji, F Wu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1652-1667, 2022 | 13 | 2022 |
The mechanism of room‐temperature oxidation of a HF‐etched Ti3C2Tx MXene determined via environmental transmission electron microscopy and molecular … Y Liu, Z Shi, T Liang, D Zheng, Z Yang, Z Wang, J Zhou, S Wang InfoMat, e12536, 2024 | 9 | 2024 |
Robust preference optimization with provable noise tolerance for llms X Liang, C Chen, J Wang, Y Wu, Z Fu, Z Shi, F Wu, J Ye arXiv preprint arXiv:2404.04102, 2024 | 8 | 2024 |
Label deconvolution for node representation learning on large-scale attributed graphs against learning bias Z Shi, J Wang, F Lu, H Chen, D Lian, Z Wang, J Ye, F Wu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 5 | 2024 |
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming J Wang, Z Wang, X Li, Y Kuang, Z Shi, F Zhu, M Yuan, J Zeng, Y Zhang, ... arXiv preprint arXiv:2404.12638, 2024 | 5 | 2024 |
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution J Wang, R Yang, Z Geng, Z Shi, M Ye, Q Zhou, S Ji, B Li, Y Zhang, F Wu arXiv preprint arXiv:2302.09601, 2023 | 2 | 2023 |
Atomic insights into monolayer MXene degradation and impacts for lithium-ion storage Z Shi, S Zhong, Z Zhang, Y Sui, J Zhou, L Wu Applied Surface Science, 162506, 2025 | | 2025 |
Cassia seed-derived NP double-doped porous carbon as an efficient sulfur host material for high-performance Li-S batteries Z Zhang, Y Zhang, Z Shi, Y Sui, X Zhang, L Wu Advanced Powder Technology 35 (7), 104556, 2024 | | 2024 |
Weighted Subgraph Knowledge Distillation for Graph Model Compression Y Liu, Z Shi 2024 5th International Conference on Industrial Engineering and Artificial …, 2024 | | 2024 |
The mechanism of room-temperature oxidation of a Ti3C2Tx MXene determined via environmental transmission electron microscopy and molecular dynamics S Wang, Y Liu, Z Shi, T Liang, D Zheng, Z Yang, Z Wang, J Zhou | | 2023 |
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction J Wang, H Chen, Q Lv, Z Shi, J Chen, H He, H Xie, D Lian, E Chen, F Wu arXiv preprint arXiv:2309.11528, 2023 | | 2023 |
Provably Convergent Subgraph-wise Sampling for Fast GNN Training J Wang, Z Shi, X Liang, D Lian, S Ji, B Li, E Chen, F Wu arXiv preprint arXiv:2303.11081, 2023 | | 2023 |
Solution of Team GraphMIRAcles in the KDD Cup 2022 Query-Product Ranking Task H Chen, Z Shi, Z Zhang, J Wang KDD Work Shop, 2022 | | 2022 |
Common Neighbor Induced Message Passing for Inductive Link Prediction in Knowledge Graphs H Chen, J Wang, Q Lv, X Ni, Y Jiang, Z Shi, B Li | | |
2024 5th International Conference on Industrial Engineering and Artificial Intelligence (IEAI)| 979-8-3503-8636-3/24/$31.00© 2024 IEEE| DOI: 10.1109/IEAI62569. 2024.00029 M Alameerah, KAG Albano, S Alhaila, I Almelhem, K Alrumaidhi, A Alsnafi, ... | | |
EPIC: Compressing Deep GNNs via Expressive Power Gap-Induced Knowledge Distillation X Liang, J Wang, Z Shi, H Chen, B Li, F Wu | | |