Zihao Wang

Orcid: 0000-0002-3919-0396

Affiliations:
  • Hong Kong University of Science and Technology, Department of CSE
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China (former)


According to our database1, Zihao Wang authored at least 42 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Fast Sinkhorn II: Collinear Triangular Matrix and Linear Time Accurate Computation of Optimal Transport.
J. Sci. Comput., January, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
CoRR, 2024

Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering.
CoRR, 2024

Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs.
CoRR, 2024

Meta Operator for Complex Query Answering on Knowledge Graphs.
CoRR, 2024

Soft Reasoning on Uncertain Knowledge Graphs.
CoRR, 2024

FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning.
CoRR, 2024

New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Optimal Transport Enhanced Cross-City Site Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Privacy-Preserved Neural Graph Databases.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024


Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
On the Discussion of Large Language Models: Symmetry of Agents and Interplay with Prompts.
CoRR, 2023

Towards out-of-distribution generalizable predictions of chemical kinetics properties.
CoRR, 2023

EFO<sub>k</sub>-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation.
CoRR, 2023

On Existential First Order Queries Inference on Knowledge Graphs.
CoRR, 2023

spred: Solving L1 Penalty with SGD.
Proceedings of the International Conference on Machine Learning, 2023

Logical Message Passing Networks with One-hop Inference on Atomic Formulas.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Logical Queries on Knowledge Graphs: Emerging Interface of Incomplete Relational Data.
IEEE Data Eng. Bull., 2022

Sparsity by Redundancy: Solving L<sub>1</sub> with a Simple Reparametrization.
CoRR, 2022

Posterior Collapse of a Linear Latent Variable Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Query2Particles: Knowledge Graph Reasoning with Particle Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Neural-Symbolic Approach to Natural Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
TC-MIMONet: A Learning-based Transceiver for MIMO Systems with Temporal Correlations.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Autoencoder-based MIMO Communications with Learnable ADCs.
Proceedings of the 21st International Conference on Communication Technology, 2021

2020
An Investigation of how Label Smoothing Affects Generalization.
CoRR, 2020

Volumization as a Natural Generalization of Weight Decay.
CoRR, 2020

Structural-Aware Sentence Similarity with Recursive Optimal Transport.
CoRR, 2020

Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Instance Explainable Multi-instance Learning for ROI of Various Data.
Proceedings of the Database Systems for Advanced Applications, 2020

Robust Document Distance with Wasserstein-Fisher-Rao metric.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

A Relaxed Matching Procedure for Unsupervised BLI.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Wasserstein-Fisher-Rao Document Distance.
CoRR, 2019

Reducing Wrong Labels for Distant Supervision Relation Extraction with Selective Capsule Network.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018
Modeling Patient Visit Using Electronic Medical Records for Cost Profile Estimation.
Proceedings of the Database Systems for Advanced Applications, 2018


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