Shi, Xingjian

27 publications

NeurIPS 2025 EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Ruskin Raj Manku, Yuzhi Tang, Xingjian Shi, Mu Li, Alex Smola

ICLR 2025 L3Ms — Lagrange Large Language Models Guneet S. Dhillon, Xingjian Shi, Yee Whye Teh, Alex Smola

DMLR 2024 Benchmarking Robustness of Multimodal Image-Text Models Under Distribution Shift Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

CVPR 2024 Bridging Remote Sensors with Multisensor Geospatial Foundation Models Boran Han, Shuai Zhang, Xingjian Shi, Markus Reichstein

ICLR 2023 Learning Multimodal Data Augmentation in Feature Space Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson

ICLR 2023 Parameter-Efficient Fine-Tuning Design Spaces Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang

NeurIPS 2023 PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle Maddix, Yi Zhu, Mu Li, Yuyang Wang

NeurIPSW 2023 PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Bernie Wang

ICCV 2023 Towards Geospatial Foundation Models via Continual Pretraining Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen

ICML 2023 XTab: Cross-Table Pretraining for Tabular Transformers Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran

NeurIPSW 2022 Benchmarking Robustness Under Distribution Shift of Multimodal Image-Text Models Jielin Qiu, Yi Zhu, Xingjian Shi, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

NeurIPS 2022 Earthformer: Exploring Space-Time Transformers for Earth System Forecasting Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung

NeurIPSW 2022 First De-Trend Then Attend: Rethinking Attention for Time-Series Forecasting Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Bernie Wang

ICLRW 2022 Fix Bugs with Transformer Through a Neural-Symbolic Edit Grammar Yaojie Hu, Xingjian Shi, Qiang Zhou, Lee Pike

ICML 2022 Removing Batch Normalization Boosts Adversarial Training Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

ICMLW 2021 Multimodal AutoML on Structured Tables with Text Fields Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alex Smola

AAAI 2021 Symbolic Music Generation with Transformer-GANs Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alexander J. Smola

JMLR 2020 GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu

IJCAI 2019 STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King

UAI 2018 GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung

NeurIPS 2017 Deep Learning for Precipitation Nowcasting: A Benchmark and a New Model Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo

AAAI 2017 Relational Deep Learning: A Deep Latent Variable Model for Link Prediction Hao Wang, Xingjian Shi, Dit-Yan Yeung

ICCV 2017 Spatiotemporal Modeling for Crowd Counting in Videos Feng Xiong, Xingjian Shi, Dit-Yan Yeung

NeurIPS 2016 Collaborative Recurrent Autoencoder: Recommend While Learning to Fill in the Blanks Hao Wang, Xingjian Shi, Dit-Yan Yeung

NeurIPS 2016 Natural-Parameter Networks: A Class of Probabilistic Neural Networks Hao Wang, Xingjian Shi, Dit-Yan Yeung

NeurIPS 2015 Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo

AAAI 2015 Relational Stacked Denoising Autoencoder for Tag Recommendation Hao Wang, Xingjian Shi, Dit-Yan Yeung