Shengchao Liu
Orcid: 0000-0003-4763-5196
According to our database1,
Shengchao Liu
authored at least 48 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled.
Trans. Mach. Learn. Res., 2024
Does DetectGPT Fully Utilize Perturbation? Bridge Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.
CoRR, 2024
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Nat. Mac. Intell., December, 2023
J. Chem. Inf. Model., September, 2023
Trans. Mach. Learn. Res., 2023
CoRR, 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Access, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
IEEE/ACM Trans. Netw., 2019
Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests.
J. Chem. Inf. Model., 2019
J. Chem. Inf. Model., 2019
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Dissecting persistent instability of web service: A joint perspective of server schedule dynamics and path latency.
Int. J. Commun. Syst., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018