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Publication search results
found 52 matches
- 2024
- Huaiyuan Ying, Zhengyun Zhao, Yang Zhao, Sihang Zeng, Sheng Yu:
CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs. J. Am. Medical Informatics Assoc. 31(9): 1912-1920 (2024) - Sihan Zeng, Thinh T. Doan, Justin Romberg:
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. SIAM J. Optim. 34(1): 946-976 (2024) - Sihan Zeng, Thinh T. Doan:
Fast two-time-scale stochastic gradient method with applications in reinforcement learning. COLT 2024: 5166-5212 - Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim:
QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints. L4DC 2024: 1539-1551 - Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim:
QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints. CoRR abs/2401.06820 (2024) - Zhuoyin Dai, Di Wu, Zhenjun Dong, Kun Li, Dingyang Ding, Sihan Wang, Yong Zeng:
Prototyping and Experimental Results for Environment-Aware Millimeter Wave Beam Alignment via Channel Knowledge Map. CoRR abs/2403.08200 (2024) - Sihan Zeng, Thinh T. Doan, Justin Romberg:
Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning. CoRR abs/2405.02456 (2024) - Sihan Zeng, Thinh T. Doan:
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning. CoRR abs/2405.09660 (2024) - Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou:
UltraMedical: Building Specialized Generalists in Biomedicine. CoRR abs/2406.03949 (2024) - Biqing Qi, Kaiyan Zhang, Kai Tian, Haoxiang Li, Zhang-Ren Chen, Sihang Zeng, Ermo Hua, Jinfang Hu, Bowen Zhou:
Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation. CoRR abs/2407.08940 (2024) - Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh:
Partially Observable Contextual Bandits with Linear Payoffs. CoRR abs/2409.11521 (2024) - 2023
- Keyi Yu, Yu Wang, Sihan Zeng, Chen Liang, Xiaoyu Bai, Dachi Chen, Wenping Wang:
InkGAN: Generative Adversarial Networks for Ink-And-Wash Style Transfer of Photographs. Adv. Artif. Intell. Mach. Learn. 3(2): 1220-1233 (2023) - Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao:
E${3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2952-2969 (2023) - Sihan Zeng, Thinh T. Doan, Justin Romberg:
Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning. IEEE Trans. Autom. Control. 68(5): 2758-2773 (2023) - Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh:
Sequential Fair Resource Allocation under a Markov Decision Process Framework. ICAIF 2023: 673-680 - Sihan Zeng, Thinh T. Doan, Justin Romberg:
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. NeurIPS 2023 - Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh:
Sequential Fair Resource Allocation under a Markov Decision Process Framework. CoRR abs/2301.03758 (2023) - Sihan Zeng, Thinh T. Doan, Justin Romberg:
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. CoRR abs/2303.12981 (2023) - Sihan Wang, Jingran Xu, Yong Zeng:
On the Energy-Efficiency Trade-off Between Active and Passive Communications with RIS-based Symbiotic Radio. CoRR abs/2305.13621 (2023) - Bryan Cai, Sihang Zeng, Yucong Lin, Zheng Yuan, Doudou Zhou, Lu Tian:
Hierarchical Pretraining for Biomedical Term Embeddings. CoRR abs/2307.00266 (2023) - Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou:
Large Language Models are Zero Shot Hypothesis Proposers. CoRR abs/2311.05965 (2023) - Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh:
Near-Optimal Fair Resource Allocation for Strategic Agents without Money: A Data-Driven Approach. CoRR abs/2311.10927 (2023) - Huaiyuan Ying, Zhengyun Zhao, Yang Zhao, Sihang Zeng, Sheng Yu:
CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs. CoRR abs/2312.08036 (2023) - 2022
- Sihan Zeng, Zhongliang Pan:
An unsupervised font style transfer model based on generative adversarial networks. Multim. Tools Appl. 81(4): 5305-5324 (2022) - Sihang Zeng, Zheng Yuan, Sheng Yu:
Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations. BioNLP@ACL 2022: 91-96 - Sihan Zeng, Thinh T. Doan, Justin Romberg:
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CDC 2022: 4028-4033 - Sihan Zeng, Thinh T. Doan, Justin Romberg:
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. NeurIPS 2022 - Sihan Wang, Jingran Xu, Yong Zeng:
Characterizing the Energy-Efficiency Region of Symbiotic Radio Communications. WCSP 2022: 336-341 - Sheng Yu, Zheng Yuan, Jun Xia, Shengxuan Luo, Huaiyuan Ying, Sihang Zeng, Jingyi Ren, Hongyi Yuan, Zhengyun Zhao, Yucong Lin, Keming Lu, Jing Wang, Yutao Xie, Heung-Yeung Shum:
BIOS: An Algorithmically Generated Biomedical Knowledge Graph. CoRR abs/2203.09975 (2022) - Sihang Zeng, Zheng Yuan, Sheng Yu:
Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations. CoRR abs/2204.00391 (2022)
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