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ORCIDJixuan Wang
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2020 – today
- 2024
[j8]Jixuan Wang, Bin Deng, Jiang Wang, Lei Xiang, Tianshi Gao, Haitao Yu, Chen Liu:
Multi-origins of pathological theta oscillation from neuron to network inferred by a combined data and model study with cubature Kalman filter. Commun. Nonlinear Sci. Numer. Simul. 137: 108164 (2024)- [j7]Jixuan Wang, Deli Qiao
:
How to Minimize the Weighted Sum AoI in Multi-Source Status Update Systems: TDMA or NOMA? IEEE Trans. Veh. Technol. 73(4): 5531-5545 (2024) - [c19]Jixuan Wang, Qian Huang, Yulin Chen, Linyi Qian:
Blood Cell Detection and Self-Attention-Based Mixed Attention Mechanism. ICANN (8) 2024: 203-214 - [i11]Tiantian Feng, Anil Ramakrishna, Jimit Majmudar, Charith Peris, Jixuan Wang, Clement Chung, Richard S. Zemel, Morteza Ziyadi, Rahul Gupta:
Partial Federated Learning. CoRR abs/2403.01615 (2024) - 2023
- [c18]Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta:
Coordinated Replay Sample Selection for Continual Federated Learning. EMNLP (Industry Track) 2023: 331-342 - [c17]Jixuan Wang, Deli Qiao:
Power Adaptation for Wireless Packet Based Transmissions Enhancing the System Reliability. GLOBECOM 2023: 3469-3474 - [c16]Bo Gong, Jiang Wang, Siyuan Chang, Weitong Liu, Jixuan Wang, Xile Wei:
Neuron Model Database for Arm-Based Multi-Core Neuromorphic Computing. I2MTC 2023: 1-6 - [c15]Weitong Liu, Bin Deng, Jiawei Liang, Bo Gong, Jixuan Wang, Jiang Wang, Chen Liu:
A Closed-Loop Electrophysiological Hardware Prototype to Estimate and Control Neuronal States. I2MTC 2023: 1-6 - [c14]Jixuan Wang, Bin Deng, Tianshi Gao, Bo Gong, Weitong Liu, Jiang Wang, Chen Liu:
Multi-compartment structure optimizes the deep learning network from the biophysical perspective. I2MTC 2023: 1-6 - [c13]Ershad Banijamali, Pegah Kharazmi, Sepehr Eghbali, Jixuan Wang, Clement Chung, Samridhi Choudhary:
Pyramid Dynamic Inference: Encouraging Faster Inference Via Early Exit Boosting. ICASSP 2023: 1-5 - [c12]Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya G. Roosta, Rahul Gupta, Clement Chung, Jie Ding, Salman Avestimehr:
Quantifying Catastrophic Forgetting in Continual Federated Learning. ICASSP 2023: 1-5 - [c11]Jixuan Wang, Martin Radfar, Kai Wei, Clement Chung:
End-to-End Spoken Language Understanding Using Joint CTC Loss and Self-Supervised, Pretrained Acoustic Encoders. ICASSP 2023: 1-5 - [i10]Jixuan Wang, Martin Radfar, Kai Wei, Clement Chung:
End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders. CoRR abs/2305.02937 (2023) - [i9]Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta:
Coordinated Replay Sample Selection for Continual Federated Learning. CoRR abs/2310.15054 (2023) - 2022
- [j6]Jixuan Wang, Bin Deng, Tianshi Gao, Jiang Wang, Chen Liu:
Modulation of cortical oscillations by periodic electrical stimulation is frequency-dependent. Commun. Nonlinear Sci. Numer. Simul. 110: 106356 (2022) - [j5]Tianshi Gao, Bin Deng, Jixuan Wang, Jiang Wang, Guosheng Yi:
The passive properties of dendrites modulate the propagation of slowly-varying firing rate in feedforward networks. Neural Networks 150: 377-391 (2022) - [j4]Jixuan Wang, Jingbo Yang, Haochi Zhang, Helen Lu, Marta Skreta, Mia Husic, Aryan Arbabi, Nicole Sultanum, Michael Brudno:
PhenoPad: Building AI enabled note-taking interfaces for patient encounters. npj Digit. Medicine 5 (2022) - [c10]Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz:
On the data requirements of probing. ACL (Findings) 2022: 4132-4147 - [c9]Tianshi Gao, Bin Deng, Jiangtao Luo, Jixuan Wang, Jiang Wang, Guosheng Yi:
Recognition of complex surfaces based on multiscale temporal networks. I2MTC 2022: 1-6 - [c8]Jixuan Wang, Bin Deng, Tianshi Gao, Jiang Wang, Guosheng Yi:
Bio-inspired computing: A deep learning algorithm with the spike-frequency adaptation. I2MTC 2022: 1-6 - [i8]Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno:
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. CoRR abs/2201.11576 (2022) - [i7]Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz:
On the data requirements of probing. CoRR abs/2202.12801 (2022) - [i6]Jixuan Wang, Deli Qiao:
How to Minimize the Weighted Sum AoI in Multi-Source Status Update Systems: OMA or NOMA? CoRR abs/2205.03143 (2022) - 2021
- [c7]Jixuan Wang, Kai Wei, Martin Radfar, Weiwei Zhang, Clement Chung:
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling. AAAI 2021: 13943-13951 - [c6]Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno:
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. NeurIPS 2021: 6542-6554 - [i5]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker attribution with voice profiles by graph-based semi-supervised learning. CoRR abs/2102.03634 (2021) - 2020
- [j3]Renjie Tan, Jixuan Wang, Xiaoliang Wu, Liran Juan, Tianjiao Zhang, Rui Ma, Qing Zhan, Tao Wang, Shuilin Jin, Qinghua Jiang, Yadong Wang:
ERDS-Exome: A Hybrid Approach for Copy Number Variant Detection from Whole-Exome Sequencing Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 796-803 (2020) - [c5]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker Diarization with Session-Level Speaker Embedding Refinement Using Graph Neural Networks. ICASSP 2020: 7109-7113 - [c4]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker Attribution with Voice Profiles by Graph-Based Semi-Supervised Learning. INTERSPEECH 2020: 289-293 - [i4]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker diarization with session-level speaker embedding refinement using graph neural networks. CoRR abs/2005.11371 (2020) - [i3]Jixuan Wang, Kai Wei, Martin Radfar, Weiwei Zhang, Clement Chung:
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling. CoRR abs/2012.11689 (2020)
2010 – 2019
- 2019
- [c3]Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno:
Centroid-based Deep Metric Learning for Speaker Recognition. ICASSP 2019: 3652-3656 - [c2]Marta Skreta, Aryan Arbabi, Jixuan Wang, Michael Brudno:
Training without training data: Improving the generalizability of automated medical abbreviation disambiguation. ML4H@NeurIPS 2019: 233-245 - [i2]Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno:
Centroid-based deep metric learning for speaker recognition. CoRR abs/1902.02375 (2019) - [i1]Marta Skreta, Aryan Arbabi, Jixuan Wang, Michael Brudno:
Training without training data: Improving the generalizability of automated medical abbreviation disambiguation. CoRR abs/1912.06174 (2019) - 2016
- [j2]Jiajie Peng, Tao Wang, Jixuan Wang, Yadong Wang, Jin Chen:
Extending gene ontology with gene association networks. Bioinform. 32(8): 1185-1194 (2016) - [c1]Renjie Tan, Jixuan Wang, Xiaoliang Wu, Guoqiang Wan, Rongjie Wang, Rui Ma, Zhijie Han, Wenyang Zhou, Shuilin Jin, Qinghua Jiang, Yadong Wang:
ERDS-pe: A paired hidden Markov model for copy number variant detection from whole-exome sequencing data. BIBM 2016: 141-144 - 2015
- [j1]Qinghua Jiang, Jixuan Wang, Xiaoliang Wu, Rui Ma, Tianjiao Zhang, Shuilin Jin, Zhijie Han, Renjie Tan, Jiajie Peng, Guiyou Liu, Yu Li, Yadong Wang:
LncRNA2Target: a database for differentially expressed genes after lncRNA knockdown or overexpression. Nucleic Acids Res. 43(Database-Issue): 193-196 (2015)
Coauthor Index
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