Yi Xu

According to our database, Yi Xu authored at least 35 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust Multi-Task Learning with Excess Risks.

Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Diffusion Models for Multi-Task Generative Modeling.

Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Z. Yao, Son Dinh Tran, Belinda Zeng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Evolutionary Contrastive Distillation for Language Model Alignment.

Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective.

Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning.

Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding.

Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Unsupervised Multi-Modal Representation Learning for High Quality Retrieval of Similar Products at E-commerce Scale.

Kushal Kumar, Tarik Arici, Tal Neiman, Jinyu Yang, Shioulin Sam, Yi Xu, Hakan Ferhatosmanoglu, Ismail B. Tutar

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce.

Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the IEEE International Conference on Big Data, 2023

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models.

Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Efficient and effective training of language and graph neural network models.

Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis

CoRR, 2022

DynaMaR: Dynamic Prompt with Mask Token Representation.

Xiaodi Sun, Sunny Rajagopalan, Priyanka Nigam, Weiyi Lu, Yi Xu, Belinda Zeng, Trishul Chilimbi

CoRR, 2022

DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction.

Aashiq Muhamed, Jaspreet Singh, Shuai Zheng, Iman Keivanloo, Sujan Perera, James Mracek, Yi Xu, Qingjun Cui, Santosh Rajagopalan, Belinda Zeng, Trishul Chilimbi

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective.

Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks.

Weiyi Lu, Sunny Rajagopalan, Priyanka Nigam, Jaspreet Singh, Xiaodi Sun, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

DynaMaR: Dynamic Prompt with Mask Token Representation.

Xiaodi Sun, Sunny Rajagopalan, Priyanka Nigam, Weiyi Lu, Yi Xu, Iman Keivanloo, Belinda Zeng, Trishul Chilimbi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Vision-Language Pre-Training with Triple Contrastive Learning.

Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-modal Alignment using Representation Codebook.

Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning.

Xuanli He, Iman Keivanloo, Yi Xu, Xiang He, Belinda Zeng, Santosh Rajagopalan, Trishul Chilimbi

CoRR, 2021

MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling.

Tarik Arici, Mehmet Saygin Seyfioglu, Tal Neiman, Yi Xu, Son Tran, Trishul Chilimbi, Belinda Zeng, Ismail B. Tutar

CoRR, 2021

Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE.

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

CoRR, 2021

2020

CAM: Uninteresting Speech Detector.

Weiyi Lu, Yi Xu, Peng Yang, Belinda Zeng

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2017

User Association in Massive MIMO HetNets.

Yi Xu, Shiwen Mao

IEEE Syst. J., 2017

2016

Interference Alignment Improves the Capacity of OFDM Systems.

Yi Xu, Shiwen Mao, Xin Su

IEEE Trans. Veh. Technol., 2016

2014

Stackelberg Game for Cognitive Radio Networks With MIMO and Distributed Interference Alignment.

Yi Xu, Shiwen Mao

IEEE Trans. Veh. Technol., 2014

Relay-Assisted Multiuser Video Streaming in Cognitive Radio Networks.

Yi Xu, Donglin Hu, Shiwen Mao

IEEE Trans. Circuits Syst. Video Technol., 2014

User Grouping for Massive MIMO in FDD Systems: New Design Methods and Analysis.

Yi Xu, Guosen Yue, Shiwen Mao

IEEE Access, 2014

User grouping and scheduling for large scale MIMO systems with two-stage precoding.

Yi Xu, Guosen Yue, Narayan Prasad, Sampath Rangarajan, Shiwen Mao

Proceedings of the IEEE International Conference on Communications, 2014

2013

A survey of mobile cloud computing for rich media applications.

Yi Xu, Shiwen Mao

IEEE Wirel. Commun., 2013

Distributed Interference Alignment in Cognitive Radio Networks.

Yi Xu, Shiwen Mao

Proceedings of the 22nd International Conference on Computer Communication and Networks, 2013

2012

On adopting Interleave Division Multiple Access in two-tier femtocell networks: The uplink case.

Yi Xu, Shiwen Mao, Xin Su

Proceedings of IEEE International Conference on Communications, 2012

On interference alignment in multi-user OFDM systems.

Yi Xu, Shiwen Mao

Proceedings of the 2012 IEEE Global Communications Conference, 2012

2011

New Half-Voting Cooperative Sensing Algorithms in Cognitive Radio.

Haijun Wang, Yi Xu, Xin Su, Jie Zeng, Jing Wang

Proceedings of the Wireless Internet - 6th International ICST Conference, 2011

2010

Cooperative Spectrum Sensing with Wavelet Denoising in Cognitive Radio.

Haijun Wang, Yi Xu, Xin Su, Jing Wang

Proceedings of the 71st IEEE Vehicular Technology Conference, 2010

Cooperative Spectrum Sensing in Cognitive Radio under Noise Uncertainty.

Haijun Wang, Yi Xu, Xin Su, Jing Wang

Proceedings of the 71st IEEE Vehicular Technology Conference, 2010