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Belinda Zeng

Vision-Language Pre-Training with Triple Contrastive Learning
2022 · Jinyu Yang, Jiali Duan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 329
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Multi-modal Alignment using Representation Codebook
2022 · Jiali Duan, Liqun Chen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 71
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Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
2023 · Qian Jiang, Changyou Chen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 60
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Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
2023 · Han Xie, Da Zheng, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 31
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Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE
2021 · Chen, Junya, Gan, Zhe, et al. · arXiv (Cornell University) · 29
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Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
2026 · Liu, Zhiheng, Ren, Weiming, et al. · arXiv (Cornell University) · 25
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Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning
2021 · He, Xuanli, Keivanloo, Iman, et al. · arXiv (Cornell University) · 20
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ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models
2023 · Jianyi Zhang, Aashiq Muhamed, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 18
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Efficient and effective training of language and graph neural network models
2022 · Ioannidis, Vassilis N., Song, Xiang, et al. · arXiv (Cornell University) · 17
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MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling
2022 · Tarik Arici, Mehmet Saygin Seyfioglu, et al. · OSF Preprints (OSF Preprints) · 17
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Why Do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective
2022 · Changyou Chen, Jianyi Zhang, et al. · neural information processing systems · 16
Robust Multi-Task Learning with Excess Risks
2024 · He, Yifei, Zhou, Shiji, et al. · arXiv (Cornell University) · 12
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GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications
2024 · Da Zheng, Xiang Song, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 11
TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents
2026 · Chen, Shoufa, Wang, Luyuan, et al. · arXiv (Cornell University) · 10
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Diffusion Models For Multi-Modal Generative Modeling
2024 · Chen, Changyou, Ding, Han, et al. · arXiv (Cornell University) · 10
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Web-Scale Semantic Product Search with Large Language Models
2023 · Aashiq Muhamed, Sriram Srinivasan, et al. · Lecture notes in computer science · 9
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CTR-BERT: Cost-effective knowledge distillation for billion-parameter teacher models
2021 · Aashiq Muhamed, Iman Keivanloo, et al. · 9
Top-Down Attention in End-to-End Spoken Language Understanding
2021 · Yixin Chen, Weiyi Lu, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 8
VidLA: Video-Language Alignment at Scale
2024 · Mamshad Nayeem Rizve, Fan Fei, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 7
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OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding
2023 · Zhan Shi, Guoyin Wang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5
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WavFlow: Audio Generation in Waveform Space
2026 · Zhou, Feiyan, Wang, Luyuan, et al. · arXiv (Cornell University) · 3
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DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction
2022 · Aashiq Muhamed, Jaspreet Singh, et al. · International World Wide Web Conference (WWW) · 3
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ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding
2023 · Zixuan Liu, Gaurush Hiranandani, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 2
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DynaMaR: Dynamic Prompt with Mask Token Representation
2022 · Sun, Xiaodi, Rajagopalan, Sunny, et al. · arXiv (Cornell University) · 2
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Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks
2022 · Weiyi Lu, Sunny Rajagopalan, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 2
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Works count: 35
Citation count: 728
H-index: 12
I10-index: 15
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