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ORCIDTianxiao Li 0001
Person information
- affiliation: NEC Laboratories America, Machine Learning Department, Irving, TX, USA
- affiliation: Yale University, Department of Molecular Biophysics & Biochemistry, New Haven, CT, USA
Other persons with the same name
- Tianxiao Li — disambiguation page
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2020 – today
- 2025
[c6]Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min:
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation. AAAI 2025: 18816-18824- [c5]Yingjian Chen, Feiyang Li, Xingyu Song, Tianxiao Li, Zixin Xu, Xiujie Chen, Issey Sukeda, Irene Li:
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs. SLM4Health@AIME 2025: 19-28 - [c4]Zhenqiao Song, Tianxiao Li, Lei Li, Martin Renqiang Min:
PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design. ICML 2025 - [i8]Feiyang Li, Yingjian Chen, Haoran Liu, Rui Yang
, Han Yuan, Yuang Jiang, Tianxiao Li, Edison Marrese-Taylor, Hossein Rouhizadeh, Yusuke Iwasawa, Douglas Teodoro, Yutaka Matsuo, Irene Li:
MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering. CoRR abs/2503.16131 (2025) - [i7]Yingjian Chen, Feiyang Li, Xingyu Song, Tianxiao Li, Zixin Xu, Xiujie Chen, Issey Sukeda, Irene Li:
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs. CoRR abs/2504.10982 (2025) - 2024
- [j5]Xiangru Tang, Howard Dai, Elizabeth Knight, Fang Wu, Yunyang Li, Tianxiao Li, Mark Gerstein:
A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation. Briefings Bioinform. 25(4) (2024) - [i6]Xiangru Tang, Howard Dai, Elizabeth Knight, Fang Wu, Yunyang Li, Tianxiao Li, Mark Gerstein:
A Survey of Generative AI for De Novo Drug Design: New Frontiers in Molecule and Protein Generation. CoRR abs/2402.08703 (2024) - [i5]Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min:
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation. CoRR abs/2412.15086 (2024) - 2023
- [j4]Shaoke Lou, Mingjun Yang, Tianxiao Li, Weihao Zhao, Hannah Cevasco, Yucheng T. Yang, Mark Gerstein:
Constructing a full, multiple-layer interactome for SARS-CoV-2 in the context of lung disease: Linking the virus with human genes and microbes. PLoS Comput. Biol. 19(7) (2023) - [c3]Tianxiao Li, Hongyu Guo, Filippo Grazioli, Mark Gerstein, Martin Renqiang Min:
Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering. NeurIPS 2023 - 2021
- [j3]Shaoke Lou, Tianxiao Li, Jason Liu, Mark Gerstein:
Gene Tracer: a smart, interactive, voice-controlled Alexa skill For gene information retrieval and browsing, mutation annotation and network visualization. Bioinform. 37(18): 2998-3000 (2021) - [c2]Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir R. Radev:
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. ACL/IJCNLP (2) 2021: 1005-1011 - [i4]Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong, Toyotaro Suzumura:
Heterogeneous Graph Neural Networks for Multi-label Text Classification. CoRR abs/2103.14620 (2021) - [i3]Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir R. Radev:
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. CoRR abs/2105.03505 (2021) - 2020
- [j2]Shaoke Lou, Tianxiao Li, Xiangmeng Kong, Jing Zhang, Jason Liu, Donghoon Lee, Mark Gerstein:
TopicNet: a framework for measuring transcriptional regulatory network change. Bioinform. 36(Supplement-1): i474-i481 (2020) - [j1]Shaoke Lou, Tianxiao Li, Daniel J. Spakowicz, Xiting Yan, Geoffrey Lowell Chupp, Mark Gerstein:
Latent-space embedding of expression data identifies gene signatures from sputum samples of asthmatic patients. BMC Bioinform. 21(1): 457 (2020) - [c1]Irene Li, Yixin Li, Tianxiao Li, Sergio Álvarez-Napagao, Dario Garcia-Gasulla, Toyotaro Suzumura:
What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing. SGAI Conf. 2020: 358-370 - [i2]Irene Li, Yixin Li, Tianxiao Li, Sergio Álvarez-Napagao, Darío García:
What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing. CoRR abs/2004.10899 (2020) - [i1]Dario Garcia-Gasulla, Sergio Álvarez-Napagao, Irene Li, Hiroshi Maruyama, Hiroki Kanezashi, Raquel Pérez-Arnal, Kunihiko Miyoshi, Euma Ishii, Keita Suzuki, Sayaka Shiba, Mariko Kurokawa, Yuta Kanzawa, Naomi Nakagawa, Masatoshi Hanai, Yixin Li, Tianxiao Li:
Global Data Science Project for COVID-19 Summary Report. CoRR abs/2006.05573 (2020)
Coauthor Index
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