CAM: Uninteresting Speech Detector. - Weiyi Lu; Yi Xu 011; Peng Yang; Belinda Zeng (INTERSPEECH, 2020)

Top-Down Attention in End-to-End Spoken Language Understanding. - Yixin Chen 003; Weiyi Lu; Alejandro Mottini; Li Erran Li; Jasha Droppo; Zheng Du; Belinda Zeng (ICASSP, 2021)

Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. - Junya Chen; Zhe Gan; Xuan Li; Qing Guo; Liqun Chen 001; Shuyang Gao; Tagyoung Chung; Yi Xu 011; Belinda Zeng; Wenlian Lu; Fan Li; Lawrence Carin; et al. (CoRR, 2021)

MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling. - Tarik Arici; Mehmet Saygin Seyfioglu; Tal Neiman; Yi Xu 011; Son Tran; Trishul Chilimbi; Belinda Zeng; Ismail B. Tutar (CoRR, 2021)

Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning. - Xuanli He; Iman Keivanloo; Yi Xu 011; Xiang He; Belinda Zeng; Santosh Rajagopalan; Trishul Chilimbi (CoRR, 2021)

Multi-modal Alignment using Representation Codebook. - Jiali Duan; Liqun Chen 001; Son Tran; Jinyu Yang; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (CVPR, 2022)

Vision-Language Pre-Training with Triple Contrastive Learning. - Jinyu Yang; Jiali Duan; Son Tran; Yi Xu 011; Sampath Chanda; Liqun Chen 001; Belinda Zeng; Trishul Chilimbi; Junzhou Huang (CVPR, 2022)

DynaMaR: Dynamic Prompt with Mask Token Representation. - Xiaodi Sun; Sunny Rajagopalan; Priyanka Nigam; Weiyi Lu; Yi Xu 011; Iman Keivanloo; Belinda Zeng; Trishul Chilimbi (EMNLP (Industry Track), 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 011; Belinda Zeng; Trishul Chilimbi (NAACL-HLT (Industry Papers), 2022)

Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. - Changyou Chen; Jianyi Zhang; Yi Xu 011; Liqun Chen 001; Jiali Duan; Yiran Chen 001; Son Tran; Belinda Zeng; Trishul Chilimbi (NeurIPS, 2022)

DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction. - Aashiq Muhamed; Jaspreet Singh; Shuai Zheng 004; Iman Keivanloo; Sujan Perera; James Mracek; Yi Xu 011; Qingjun Cui; Santosh Rajagopalan; Belinda Zeng; Trishul Chilimbi (WWW (Companion Volume), 2022)

DynaMaR: Dynamic Prompt with Mask Token Representation. - Xiaodi Sun; Sunny Rajagopalan; Priyanka Nigam; Weiyi Lu; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (CoRR, 2022)

Efficient and effective training of language and graph neural network models. - Vassilis N. Ioannidis; Xiang Song 003; Da Zheng; Houyu Zhang; Jun Ma 029; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; George Karypis (CoRR, 2022)

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. - Jianyi Zhang; Aashiq Muhamed; Aditya Anantharaman; Guoyin Wang 002; Changyou Chen; Kai Zhong; Qingjun Cui; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; Yiran Chen 001 (ACL (2), 2023)

SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. - Karan Samel; Houyu Zhang; Jun Ma 029; Haoming Jiang; Qing Ping; Sheng Wang 012; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (IEEE Big Data, 2023)

ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. - Zixuan Liu 001; Gaurush Hiranandani; Kun Qian 018; Edward W. Huang; Yi Xu 011; Belinda Zeng; Karthik Subbian; Sheng Wang 012 (CIKM, 2023)

Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning. - Qian Jiang; Changyou Chen; Han Zhao 002; Liqun Chen 001; Qing Ping; Son Dinh Tran; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (CVPR, 2023)

OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. - Zhan Shi; Guoyin Wang 002; Ke Bai 001; Jiwei Li 001; Xiang Li; Qingjun Cui; Belinda Zeng; Trishul Chilimbi; Xiaodan Zhu 001 (EMNLP, 2023)

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. - Han Xie; Da Zheng; Jun Ma 029; Houyu Zhang; Vassilis N. Ioannidis; Xiang Song 003; Qing Ping; Sheng Wang 012; Carl Yang 001; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (KDD, 2023)

Web-Scale Semantic Product Search with Large Language Models. - Aashiq Muhamed; Sriram Srinivasan 004; Choon Hui Teo; Qingjun Cui; Belinda Zeng; Trishul Chilimbi; S. V. N. Vishwanathan (PAKDD (3), 2023)

Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. - Yue Xing 002; Xiaofeng Lin 005; Qifan Song; Yi Xu 011; Belinda Zeng; Guang Cheng 003 (AISTATS, 2024)

VidLA: Video-Language Alignment at Scale. - Mamshad Nayeem Rizve; Fan Fei 002; Jayakrishnan Unnikrishnan; Son Tran; Benjamin Z. Yao; Belinda Zeng; Mubarak Shah; Trishul Chilimbi (CVPR, 2024)

Diffusion Models for Multi-Task Generative Modeling. - Changyou Chen; Han Ding 004; Bunyamin Sisman; Yi Xu 011; Ouye Xie; Benjamin Z. Yao; Son Dinh Tran; Belinda Zeng (ICLR, 2024)

Robust Multi-Task Learning with Excess Risks. - Yifei He; Shiji Zhou; Guojun Zhang; Hyokun Yun; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; Han Zhao 002 (ICML, 2024)

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jian Zhang; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (KDD, 2024)

GraphStorm: all-in-one graph machine learning framework for industry applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jiani Zhang 003; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (CoRR, 2024)

Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings. - Xuanqing Liu; Luyang Kong; Wei Niu; Afshin Khashei; Belinda Zeng; Steve Johnson; Jon Jay; Davor Golac; Matt Pope (NAACL (Industry Track), 2025)