Yi Xu - RankMe

50 papers A* 8A 4B 3Journal 24Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs. ACL (1) Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi
2025	J	`jnl`	AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs. CoRR Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi
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	—	`conf`	Evolutionary Contrastive Distillation for Language Model Alignment. EMNLP (Findings) Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi
2024	J	`jnl`	Evolutionary Contrastive Distillation for Language Model Alignment. CoRR Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi
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`	Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. NeurIPS Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin
2024	J	`jnl`	Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. CoRR Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin
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	—	`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	A	`conf`	Unsupervised Multi-Modal Representation Learning for High Quality Retrieval of Similar Products at E-commerce Scale. CIKM Kushal Kumar, Tarik Arici, Tal Neiman, Jinyu Yang, Shioulin Sam, Yi Xu, Hakan Ferhatosmanoglu, Ismail B. Tutar
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
2020	A	`conf`	CAM: Uninteresting Speech Detector. INTERSPEECH Weiyi Lu, Yi Xu, Peng Yang, Belinda Zeng
2017	J	`jnl`	User Association in Massive MIMO HetNets. IEEE Syst. J. Yi Xu, Shiwen Mao
2016	J	`jnl`	Interference Alignment Improves the Capacity of OFDM Systems. IEEE Trans. Veh. Technol. Yi Xu, Shiwen Mao, Xin Su
2015	J	`jnl`	User Association in Massive MIMO HetNets. CoRR Yi Xu, Shiwen Mao
2014	J	`jnl`	Interference Alignment Improves the Capacity of OFDM Systems. CoRR Yi Xu, Shiwen Mao, Xin Su
2014	J	`jnl`	Relay-Assisted Multiuser Video Streaming in Cognitive Radio Networks. IEEE Trans. Circuits Syst. Video Technol. Yi Xu, Donglin Hu, Shiwen Mao
2014	J	`jnl`	Stackelberg Game for Cognitive Radio Networks With MIMO and Distributed Interference Alignment. IEEE Trans. Veh. Technol. Yi Xu, Shiwen Mao
2014	J	`jnl`	User Grouping for Massive MIMO in FDD Systems: New Design Methods and Analysis. IEEE Access Yi Xu, Guosen Yue, Shiwen Mao
2014	—	`conf`	User grouping and scheduling for large scale MIMO systems with two-stage precoding. ICC Yi Xu, Guosen Yue, Narayan Prasad, Sampath Rangarajan, Shiwen Mao
2013	J	`jnl`	A survey of mobile cloud computing for rich media applications. IEEE Wirel. Commun. Yi Xu, Shiwen Mao
2013	B	`conf`	Distributed Interference Alignment in Cognitive Radio Networks. ICCCN Yi Xu, Shiwen Mao
2012	—	`conf`	On adopting Interleave Division Multiple Access in two-tier femtocell networks: The uplink case. ICC Yi Xu, Shiwen Mao, Xin Su
2012	B	`conf`	On interference alignment in multi-user OFDM systems. GLOBECOM Yi Xu, Shiwen Mao
2011	—	`conf`	New Half-Voting Cooperative Sensing Algorithms in Cognitive Radio. WICON Haijun Wang, Yi Xu, Xin Su, Jie Zeng, Jing Wang
2010	—	`conf`	Cooperative Spectrum Sensing in Cognitive Radio under Noise Uncertainty. VTC Spring Haijun Wang, Yi Xu, Xin Su, Jing Wang
2010	—	`conf`	Cooperative Spectrum Sensing with Wavelet Denoising in Cognitive Radio. VTC Spring Haijun Wang, Yi Xu, Xin Su, Jing Wang