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Xingyao Zhang
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2020 – today
- 2024
- [j5]Gang Zhang, Fuxin Du, Xingyao Zhang, Ke Wu, Gang Zheng, Yibin Li, Rui Song:
Continuum Robots: A Real-Time Model-Based Data-Driven Nonlinear Controller. IEEE Trans. Ind. Electron. 71(12): 16176-16186 (2024) - [c17]Xiangru Tang, Anni Zou, Zhuosheng Zhang, Ziming Li, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein:
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. ACL (Findings) 2024: 599-621 - [c16]Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez:
Grounding Language Models for Visual Entity Recognition. ECCV (11) 2024: 393-411 - [i12]Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez:
Grounding Language Models for Visual Entity Recognition. CoRR abs/2402.18695 (2024) - [i11]Xiangru Tang, Xingyao Zhang, Yanjun Shao, Jie Wu, Yilun Zhao, Arman Cohan, Ming Gong, Dongmei Zhang, Mark Gerstein:
Step-Back Profiling: Distilling User History for Personalized Scientific Writing. CoRR abs/2406.14275 (2024) - [i10]Yanshi Li, Shaopan Xiong, Gengru Chen, Xiaoyang Li, Yijia Luo, Xingyao Zhang, Yanhui Huang, Xingyuan Bu, Yingshui Tan, Chun Yuan, Jiamang Wang, Wenbo Su, Bo Zheng:
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment. CoRR abs/2411.00809 (2024) - 2023
- [c15]Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang:
Instructed Language Models with Retrievers Are Powerful Entity Linkers. EMNLP 2023: 2267-2282 - [c14]Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Daxin Jiang:
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. EMNLP (Findings) 2023: 7480-7492 - [c13]Xingyao Zhang, Gang Zhang, Tichong Zhang, Fuxin Du, Rui Song, Yibin Li:
A Static Model of a Notched Continuum Robot with Non-Constant Curvature for Minimally Invasive Surgery: Base on Taylor Expansion Approach. ICARM 2023: 1006-1010 - [i9]Joo Hyung Lee, Wonpyo Park, Nicole Mitchell, Jonathan Pilault, Johan S. Obando-Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart Bik, Woohyun Han, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann N. Dauphin, Karolina Dziugaite, Pablo Samuel Castro, Utku Evci:
JaxPruner: A concise library for sparsity research. CoRR abs/2304.14082 (2023) - [i8]Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Jian Pei, Daxin Jiang:
Instructed Language Models with Retrievers Are Powerful Entity Linkers. CoRR abs/2311.03250 (2023) - [i7]Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Jian Pei, Daxin Jiang:
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. CoRR abs/2311.03253 (2023) - [i6]Xiangru Tang, Anni Zou, Zhuosheng Zhang, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein:
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. CoRR abs/2311.10537 (2023) - 2022
- [j4]Yiding Liu, Xingyao Zhang, Donglin Zhuang, Xin Fu, Shuaiwen Song:
DynamAP: Architectural Support for Dynamic Graph Traversal on the Automata Processor. ACM Trans. Archit. Code Optim. 19(4): 60:1-60:26 (2022) - [c12]Donglin Zhuang, Xingyao Zhang, Shuaiwen Song, Sara Hooker:
Randomness in Neural Network Training: Characterizing the Impact of Tooling. MLSys 2022 - 2021
- [j3]Biru Zhu, Xingyao Zhang, Ming Gu, Yangdong Deng:
Knowledge Enhanced Fact Checking and Verification. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3132-3143 (2021) - [j2]Xingyao Zhang, Xin Fu, Donglin Zhuang, Chenhao Xie, Shuaiwen Leon Song:
Enabling Highly Efficient Capsule Networks Processing Through Software-Hardware Co-Design. IEEE Trans. Computers 70(4): 495-510 (2021) - [c11]Xingyao Zhang, Haojun Xia, Donglin Zhuang, Hao Sun, Xin Fu, Michael B. Taylor, Shuaiwen Leon Song:
η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities. ISCA 2021: 567-580 - [c10]Qiyu Wan, Haojun Xia, Xingyao Zhang, Lening Wang, Shuaiwen Leon Song, Xin Fu:
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving. MICRO 2021: 885-897 - [i5]Donglin Zhuang, Xingyao Zhang, Shuaiwen Leon Song, Sara Hooker:
Randomness In Neural Network Training: Characterizing The Impact of Tooling. CoRR abs/2106.11872 (2021) - [i4]Qiyu Wan, Haojun Xia, Xingyao Zhang, Lening Wang, Shuaiwen Leon Song, Xin Fu:
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving. CoRR abs/2110.03553 (2021) - 2020
- [j1]Kaige Yan, Jingweijia Tan, Longjun Liu, Xingyao Zhang, Stanko R. Brankovic, Jinghong Chen, Xin Fu:
Toward Customized Hybrid Fuel-Cell and Battery-powered Mobile Device for Individual Users. ACM Trans. Embed. Comput. Syst. 18(6): 123:1-123:20 (2020) - [c9]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. COLING 2020: 51-61 - [c8]Xingyao Zhang, Shuaiwen Leon Song, Chenhao Xie, Jing Wang, Weigong Zhang, Xin Fu:
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design. HPCA 2020: 542-555 - [c7]Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun:
Patient-Trial Matching with Deep Embedding and Entailment Prediction. WWW 2020: 1029-1037 - [i3]Xingyao Zhang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction. CoRR abs/2001.08179 (2020) - [i2]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. CoRR abs/2010.06801 (2020)
2010 – 2019
- 2019
- [c6]Zheng Li, Xingyao Zhang, Junxia Guo, Ying Shang:
Class Imbalance Data-Generation for Software Defect Prediction. APSEC 2019: 276-283 - [c5]Chenhao Xie, Xingyao Zhang, Ang Li, Xin Fu, Shuaiwen Song:
PIM-VR: Erasing Motion Anomalies In Highly-Interactive Virtual Reality World with Customized Memory Cube. HPCA 2019: 609-622 - [c4]Shubo Liu, Xu Wang, Jing Wang, Xin Fu, Xingyao Zhang, Lan Gao, Weigong Zhang, Tao Li:
Enabling Energy-Efficient and Reliable Neural Network via Neuron-Level Voltage Scaling. ICPADS 2019: 410-413 - [i1]Xingyao Zhang, Shuaiwen Leon Song, Chenhao Xie, Jing Wang, Weigong Zhang, Xin Fu:
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design. CoRR abs/1911.03451 (2019) - 2018
- [c3]Xingyao Zhang, Chenhao Xie, Jing Wang, Weidong Zhang, Xin Fu:
Towards Memory Friendly Long-Short Term Memory Networks (LSTMs) on Mobile GPUs. MICRO 2018: 162-174 - 2016
- [c2]Kaige Yan, Xingyao Zhang, Jingweijia Tan, Xin Fu:
Redefining QoS and customizing the power management policy to satisfy individual mobile users. MICRO 2016: 53:1-53:12 - 2015
- [c1]Kaige Yan, Xingyao Zhang, Xin Fu:
Characterizing, modeling, and improving the QoE of mobile devices with low battery level. MICRO 2015: 713-724
Coauthor Index
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