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ORCIDYi Xu 0011
Person information
- affiliation: Amazon, Seattle, WA, USA
- affiliation (PhD 2015): Auburn University, Department of Electrical and Computer Engineering, Auburn, AL, USA
Other persons with the same name
- Yi Xu — disambiguation page
- Yi Xu 0001
![[0000-0001-6508-4469]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6508-4469")
— Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China - Yi Xu 0002 — InnoPeak Technology, Inc., OPPO US Research Center, Palo Alto, CA, USA (and 1 more)
- Yi Xu 0003 — Fudan University, Shanghai, China
- Yi Xu 0004 — Shanghai Jiao Tong University, China
- Yi Xu 0005 — Northeastern University, Boston, MA, USA (and 1 more)
- Yi Xu 0006 — University of North Carolina, Chapel Hill, USA
- Yi Xu 0007 — University College London, Department of Speech, Hearing and Phonetic Sciences, United Kingdom
- Yi Xu 0008 — Dalian University of Technology, School of Artificial Intelligence, Dalian, China (and 2 more)
- Yi Xu 0010 — Macau University of Science and Technology, State Key Laboratory of Lunar and Planetary Sciences, Macau (and 1 more)
- Yi Xu 0012 — North Carolina State University, Department of Electrical and Computer Engineering, Raleigh, NC, USA
- Yi Xu 0013 — Beihang University, School of Computer Science and Engineering, Institute of Artificial Intelligence, State Key Laboratory of Software Development Environment, Beijing, China
- Yi Xu 0014 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 1 more)
- Yi Xu 0015 — Anhui University, School of Computer Science and Technology, Key Laboratory of Intelligent Computing and Signal Processing, Hefei, China
- Yi Xu 0016 — Shandong University of Technology, School of Transportation and Vehicle Engineering, Zibo, China (and 1 more)
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2020 – today
- 2024
[c20]Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng:
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. AISTATS 2024: 199-207- [c19]Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Z. Yao, Son Dinh Tran, Belinda Zeng:
Diffusion Models for Multi-Task Generative Modeling. ICLR 2024 - [c18]Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao:
Robust Multi-Task Learning with Excess Risks. ICML 2024 - [i15]Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng:
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. CoRR abs/2401.15248 (2024) - [i14]Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao:
Robust Multi-Task Learning with Excess Risks. CoRR abs/2402.02009 (2024) - [i13]Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Z. Yao, Son Dinh Tran, Belinda Zeng:
Diffusion Models for Multi-Task Generative Modeling. CoRR abs/2407.17571 (2024) - 2023
- [c17]Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen:
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. ACL (2) 2023: 1128-1136 - [c16]Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. IEEE Big Data 2023: 838-846 - [c15]Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang:
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CIKM 2023: 1523-1533 - [c14]Kushal Kumar, Tarik Arici, Tal Neiman, Jinyu Yang, Shioulin Sam, Yi Xu, Hakan Ferhatosmanoglu, Ismail B. Tutar:
Unsupervised Multi-Modal Representation Learning for High Quality Retrieval of Similar Products at E-commerce Scale. CIKM 2023: 4667-4673 - [c13]Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning. CVPR 2023: 7661-7671 - [c12]Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. KDD 2023: 5270-5281 - [i12]Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning. CoRR abs/2303.05952 (2023) - [i11]Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. CoRR abs/2306.02592 (2023) - [i10]Zixuan Liu, Gaurush Hiranandani, Kun Qian, Eddie W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang:
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CoRR abs/2310.04865 (2023) - 2022
- [c11]Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Multi-modal Alignment using Representation Codebook. CVPR 2022: 15630-15639 - [c10]Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang:
Vision-Language Pre-Training with Triple Contrastive Learning. CVPR 2022: 15650-15659 - [c9]Xiaodi Sun, Sunny Rajagopalan, Priyanka Nigam, Weiyi Lu, Yi Xu, Iman Keivanloo, Belinda Zeng, Trishul Chilimbi:
DynaMaR: Dynamic Prompt with Mask Token Representation. EMNLP (Industry Track) 2022: 9-17 - [c8]Weiyi Lu, Sunny Rajagopalan, Priyanka Nigam, Jaspreet Singh, Xiaodi Sun, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks. NAACL-HLT (Industry Papers) 2022: 149-159 - [c7]Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi:
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. NeurIPS 2022 - [c6]Aashiq Muhamed, Jaspreet Singh, Shuai Zheng, Iman Keivanloo, Sujan Perera, James Mracek, Yi Xu, Qingjun Cui, Santosh Rajagopalan, Belinda Zeng, Trishul Chilimbi:
DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction. WWW (Companion Volume) 2022: 110-115 - [i9]Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang:
Vision-Language Pre-Training with Triple Contrastive Learning. CoRR abs/2202.10401 (2022) - [i8]Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Multi-modal Alignment using Representation Codebook. CoRR abs/2203.00048 (2022) - [i7]Xiaodi Sun, Sunny Rajagopalan, Priyanka Nigam, Weiyi Lu, Yi Xu, Belinda Zeng, Trishul Chilimbi:
DynaMaR: Dynamic Prompt with Mask Token Representation. CoRR abs/2206.02982 (2022) - [i6]Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis:
Efficient and effective training of language and graph neural network models. CoRR abs/2206.10781 (2022) - 2021
- [i5]Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao:
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. CoRR abs/2107.01152 (2021) - [i4]Tarik Arici, Mehmet Saygin Seyfioglu, Tal Neiman, Yi Xu, Son Tran, Trishul Chilimbi, Belinda Zeng, Ismail B. Tutar:
MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling. CoRR abs/2109.12178 (2021) - [i3]Xuanli He, Iman Keivanloo, Yi Xu, Xiang He, Belinda Zeng, Santosh Rajagopalan, Trishul Chilimbi:
Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning. CoRR abs/2111.00230 (2021) - 2020
- [c5]Weiyi Lu, Yi Xu, Peng Yang, Belinda Zeng:
CAM: Uninteresting Speech Detector. INTERSPEECH 2020: 681-685
2010 – 2019
- 2017
- [j6]Yi Xu, Shiwen Mao:
User Association in Massive MIMO HetNets. IEEE Syst. J. 11(1): 7-19 (2017) - 2016
- [j5]Yi Xu, Shiwen Mao, Xin Su:
Interference Alignment Improves the Capacity of OFDM Systems. IEEE Trans. Veh. Technol. 65(2): 756-767 (2016) - 2015
- [i2]Yi Xu, Shiwen Mao:
User Association in Massive MIMO HetNets. CoRR abs/1501.03407 (2015) - 2014
- [j4]Yi Xu, Guosen Yue, Shiwen Mao:
User Grouping for Massive MIMO in FDD Systems: New Design Methods and Analysis. IEEE Access 2: 947-959 (2014) - [j3]Yi Xu, Donglin Hu, Shiwen Mao:
Relay-Assisted Multiuser Video Streaming in Cognitive Radio Networks. IEEE Trans. Circuits Syst. Video Technol. 24(10): 1758-1770 (2014) - [j2]Yi Xu, Shiwen Mao:
Stackelberg Game for Cognitive Radio Networks With MIMO and Distributed Interference Alignment. IEEE Trans. Veh. Technol. 63(2): 879-892 (2014) - [c4]Yi Xu, Guosen Yue, Narayan Prasad, Sampath Rangarajan, Shiwen Mao:
User grouping and scheduling for large scale MIMO systems with two-stage precoding. ICC 2014: 5197-5202 - [i1]Yi Xu, Shiwen Mao, Xin Su:
Interference Alignment Improves the Capacity of OFDM Systems. CoRR abs/1412.2179 (2014) - 2013
- [j1]Yi Xu, Shiwen Mao:
A survey of mobile cloud computing for rich media applications. IEEE Wirel. Commun. 20(3): 1-0 (2013) - [c3]Yi Xu, Shiwen Mao:
Distributed Interference Alignment in Cognitive Radio Networks. ICCCN 2013: 1-7 - 2012
- [c2]Yi Xu, Shiwen Mao:
On interference alignment in multi-user OFDM systems. GLOBECOM 2012: 5339-5344 - [c1]Yi Xu, Shiwen Mao, Xin Su:
On adopting Interleave Division Multiple Access in two-tier femtocell networks: The uplink case. ICC 2012: 591-595
Coauthor Index
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