Belinda Zeng - RankMe

37 papers A* 10A 3B 1Misc 1Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings. NAACL (Industry Track) Xuanqing Liu, Luyang Kong, Wei Niu, Afshin Khashei, Belinda Zeng, Steve Johnson, Jon Jay, Davor Golac, Matt Pope
2025	J	`jnl`	Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings. CoRR Xuanqing Liu, Luyang Kong, Wei Niu, Afshin Khashei, Belinda Zeng, Steve Johnson, Jon Jay, Davor Golac, Matt Pope
2024	A	`conf`	Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. AISTATS Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng
2024	J	`jnl`	Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. CoRR Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng
2024	A*	`conf`	Diffusion Models for Multi-Task Generative Modeling. ICLR Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Z. Yao, Son Dinh Tran, Belinda Zeng
2024	J	`jnl`	Diffusion Models for Multi-Task Generative Modeling. CoRR Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Z. Yao, Son Dinh Tran, Belinda Zeng
2024	A*	`conf`	GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD Da Zheng, Xiang Song, Qi Zhu, Jian 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
2024	J	`jnl`	GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR 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
2024	A*	`conf`	Robust Multi-Task Learning with Excess Risks. ICML Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao
2024	J	`jnl`	Robust Multi-Task Learning with Excess Risks. CoRR Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao
2024	A*	`conf`	VidLA: Video-Language Alignment at Scale. CVPR Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi
2024	J	`jnl`	VidLA: Video-Language Alignment at Scale. CoRR Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi
2023	A	`conf`	ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CIKM Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
2023	J	`jnl`	ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CoRR Zixuan Liu, Gaurush Hiranandani, Kun Qian, Eddie W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
2023	A*	`conf`	Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. KDD 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
2023	J	`jnl`	Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. CoRR 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
2023	A*	`conf`	OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. EMNLP Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu
2023	—	`conf`	ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. ACL (2) Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen
2023	B	`conf`	SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. IEEE Big Data Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023	A*	`conf`	Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning. CVPR Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023	J	`jnl`	Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning. CoRR Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023	—	`conf`	Web-Scale Semantic Product Search with Large Language Models. PAKDD (3) Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan
2022	—	`conf`	Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks. NAACL-HLT (Industry Papers) Weiyi Lu, Sunny Rajagopalan, Priyanka Nigam, Jaspreet Singh, Xiaodi Sun, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022	—	`conf`	DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction. WWW (Companion Volume) Aashiq Muhamed, Jaspreet Singh, Shuai Zheng, Iman Keivanloo, Sujan Perera, James Mracek, Yi Xu, Qingjun Cui, Santosh Rajagopalan, Belinda Zeng, Trishul Chilimbi
2022	—	`conf`	DynaMaR: Dynamic Prompt with Mask Token Representation. EMNLP (Industry Track) Xiaodi Sun, Sunny Rajagopalan, Priyanka Nigam, Weiyi Lu, Yi Xu, Iman Keivanloo, Belinda Zeng, Trishul Chilimbi
2022	J	`jnl`	DynaMaR: Dynamic Prompt with Mask Token Representation. CoRR Xiaodi Sun, Sunny Rajagopalan, Priyanka Nigam, Weiyi Lu, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022	J	`jnl`	Efficient and effective training of language and graph neural network models. CoRR Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis
2022	A*	`conf`	Multi-modal Alignment using Representation Codebook. CVPR Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022	J	`jnl`	Multi-modal Alignment using Representation Codebook. CoRR Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022	A*	`conf`	Vision-Language Pre-Training with Triple Contrastive Learning. CVPR Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang
2022	J	`jnl`	Vision-Language Pre-Training with Triple Contrastive Learning. CoRR Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang
2022	A*	`conf`	Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. NeurIPS Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi
2021	J	`jnl`	MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling. CoRR Tarik Arici, Mehmet Saygin Seyfioglu, Tal Neiman, Yi Xu, Son Tran, Trishul Chilimbi, Belinda Zeng, Ismail B. Tutar
2021	J	`jnl`	Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning. CoRR Xuanli He, Iman Keivanloo, Yi Xu, Xiang He, Belinda Zeng, Santosh Rajagopalan, Trishul Chilimbi
2021	J	`jnl`	Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. CoRR 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
2021	Misc	`conf`	Top-Down Attention in End-to-End Spoken Language Understanding. ICASSP Yixin Chen, Weiyi Lu, Alejandro Mottini, Li Erran Li, Jasha Droppo, Zheng Du, Belinda Zeng
2020	A	`conf`	CAM: Uninteresting Speech Detector. INTERSPEECH Weiyi Lu, Yi Xu, Peng Yang, Belinda Zeng