Xu, Cong

12 publications

ICLRW 2025 Co-Optimizing Recommendation and Evaluation for LLM Selection Tarun Kumar, Cong Xu, Arpit Shah, Baradji Diallo, Martin Foltin, Suparna Bhattacharya
ICCV 2025 DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation Runze Zhang, Guoguang Du, Xiaochuan Li, Qi Jia, Liang Jin, Lu Liu, Jingjing Wang, Cong Xu, Zhenhua Guo, Yaqian Zhao, Xiaoli Gong, Rengang Li, Baoyu Fan
AAAI 2025 STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation Cong Xu, Yunhang He, Jun Wang, Wei Zhang
ICLRW 2025 SubLIME*: Data Efficient Foundation Model Evaluation Across Modalities, Languages and Benchmarks Mahammad Parwez Alam, Gayathri Saranathan, Cong Xu, Javier Aula-Blasco, Martin Foltin, Tarun Kumar, Soon Yee Wong, Suparna Bhattacharya
ICML 2025 TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting Qinglong Liu, Cong Xu, Wenhao Jiang, Kaixuan Wang, Lin Ma, Haifeng Li
ICLRW 2024 DELE: Data Efficient LLM Evaluation Gayathri Saranathan, Mahammad Parwez Alam, James Lim, Suparna Bhattacharya, Soon Yee Wong, Martin Foltin, Cong Xu
NeurIPS 2024 EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals Guagnyu Wang, Wenchao Liu, Yuhong He, Cong Xu, Lin Ma, Haifeng Li
NeurIPS 2024 Graph-Enhanced Optimizers for Structure-Aware Recommendation Embedding Evolution Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang
NeurIPS 2024 Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline Qi Jia, Baoyu Fan, Cong Xu, Lu Liu, Liang Jin, Guoguang Du, Zhenhua Guo, Yaqian Zhao, Xuanjing Huang, Rengang Li
CVPRW 2023 Dataset Efficient Training with Model Ensembling Yeonju Ro, Cong Xu, Agnieszka Ciborowska, Suparna Bhattacharya, Frankie Li, Martin Foltin
ICCV 2017 Coordinating Filters for Faster Deep Neural Networks Wei Wen, Cong Xu, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li
NeurIPS 2017 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li