| Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? Q Wang*, Z Wang*, Y Su, H Tong, Y Song ACL 2024 (Main), 2024 | 174 | 2024 |
| Generate-on-graph: Treat llm as both agent and kg in incomplete knowledge graph question answering Y Xu, S He, J Chen, Z Wang, Y Song, H Tong, G Liu, K Liu, J Zhao EMNLP 2024 (Main), 2024 | 87 | 2024 |
| Llms assist nlp researchers: Critique paper (meta-) reviewing J Du, Y Wang, W Zhao, Z Deng, S Liu, R Lou, HP Zou, PN Venkit, ... EMNLP 2024 (Main), 2024 | 71 | 2024 |
| Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation X Li, Z Qiu, X Zhao, Z Wang, Y Zhang, C Xing, X Wu CIKM 2022, 1199–1208, 2022 | 56 | 2022 |
| Logical Message Passing Networks with One-hop Inference on Atomic Formulas Z Wang, Y Song, GY Wong, S See ICLR 2023, 2023 | 53 | 2023 |
| Query2Particles: Knowledge Graph Reasoning with Particle Embeddings J Bai, Z Wang, H Zhang, Y Song NAACL 2022 (Findings), 2022 | 51 | 2022 |
| Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors H Yin, Z Wang, Y Song ICLR 2024, 2024 | 43* | 2024 |
| Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs Z Wang, H Yin, Y Song NeurIPS 2021 (Datasets and Benchmarks), 2021 | 40 | 2021 |
| From automation to autonomy: A survey on large language models in scientific discovery T Zheng, Z Deng, HT Tsang, W Wang, J Bai, Z Wang, Y Song EMNLP 2025 (Main), 2025 | 31 | 2025 |
| Posterior Collapse of a Linear Latent Variable Model Z Wang*, L Ziyin* NeurIPS 2022 (Oral), 2022 | 31 | 2022 |
| Robust document distance with wasserstein-fisher-rao metric Z Wang, D Zhou, M Yang, Y Zhang, C Bao, H Wu ACML 2020, 2020 | 28* | 2020 |
| Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport Z Wang, W Fei, H Yin, Y Song, GY Wong, S See ACL 2023 (Findings), 2023 | 26 | 2023 |
| spred: Solving L1 Penalty with SGD L Ziyin*, Z Wang* ICML 2023, 2023 | 26 | 2023 |
| An investigation of how label smoothing affects generalization B Chen, L Ziyin, Z Wang, PP Liang arXiv preprint arXiv:2010.12648, 2020 | 26 | 2020 |
| A Neural-Symbolic Approach to Natural Language Understanding Z Liu, Z Wang, Y Lin, H Li EMNLP 2022 (Findings), 2022 | 25 | 2022 |
| Neural-symbolic reasoning over knowledge graphs: A survey from a query perspective L Liu, Z Wang, H Tong ACM SIGKDD Explorations Newsletter 27 (1), 124-136, 2025 | 22 | 2025 |
| A relaxed matching procedure for unsupervised BLI X Zhao, Z Wang, H Wu, Y Zhang ACL 2020, 2020 | 22 | 2020 |
| Fast Sinkhorn I: An O (N) algorithm for the Wasserstein-1 metric Q Liao, J Chen, Z Wang, B Bai, S Jin, H Wu Communications in Mathematical Sciences 20 (7), 2053-2067, 2022 | 21 | 2022 |
| -CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation H Yin, Z Wang*, W Fei, Y Song KDD 2025 Datasets and Benchmarks Track (Oral), 2025 | 18* | 2025 |
| Logic query of thoughts: Guiding large language models to answer complex logic queries with knowledge graphs L Liu, Z Wang, R Qiu, Y Ban, E Chan, Y Song, J He, H Tong arXiv preprint arXiv:2404.04264, 2024 | 17* | 2024 |
Yangqiu SongHKUSTVerified email at cse.ust.hk
