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Belinda Zeng
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2020 – today
- 2024
- [c17]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 - [c16]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 - [i14]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) - [i13]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) - [i12]Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi:
VidLA: Video-Language Alignment at Scale. CoRR abs/2403.14870 (2024) - [i11]Da Zheng, Xiang Song, Qi Zhu, Jiani Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis:
GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR abs/2406.06022 (2024) - 2023
- [c15]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 - [c14]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 - [c13]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 - [c12]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 - [c11]Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu:
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. EMNLP 2023: 7242-7254 - [c10]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 - [c9]Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan
:
Web-Scale Semantic Product Search with Large Language Models. PAKDD (3) 2023: 73-85 - [i10]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) - [i9]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) - [i8]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
- [c8]Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Multi-modal Alignment using Representation Codebook. CVPR 2022: 15630-15639 - [c7]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 - [c6]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 - [c5]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 - [c4]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 - [c3]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 - [i7]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) - [i6]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) - [i5]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) - [i4]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
- [c2]Yixin Chen, Weiyi Lu, Alejandro Mottini, Li Erran Li, Jasha Droppo, Zheng Du, Belinda Zeng:
Top-Down Attention in End-to-End Spoken Language Understanding. ICASSP 2021: 6199-6203 - [i3]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) - [i2]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) - [i1]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
- [c1]Weiyi Lu, Yi Xu, Peng Yang, Belinda Zeng:
CAM: Uninteresting Speech Detector. INTERSPEECH 2020: 681-685
Coauthor Index
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last updated on 2024-08-08 20:13 CEST by the dblp team
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