Xingjian Shi - RankMe

71 papers A* 18A 1Journal 39Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advanced long-term earth system forecasting by learning the small-scale nature. CoRR Hao Wu, Yuan Gao, Ruiqi Shu, Kun Wang, Ruijian Gou, Chuhan Wu, Xinliang Liu, Juncai He, Shuhao Cao, Junfeng Fang, Xingjian Shi, Feng Tao, Qi Song, Shengxuan Ji, Yanfei Xiang, Yuze Sun, Jiahao Li, Fan Xu, Huanshuo Dong, Haixin Wang, Fan Zhang, Penghao Zhao, Xian Wu, Qingsong Wen, Deliang Chen, Xiaomeng Huang
2025	J	`jnl`	BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting. CoRR Weiyan Wang, Xingjian Shi, Ruiqi Shu, Yuan Gao, Rui Ray Chen, Kun Wang, Fan Xu, Jinbao Xue, Shuaipeng Li, Yangyu Tao, Di Wang, Hao Wu, Xiaomeng Huang
2025	J	`jnl`	Effect of Dynamic Point Symbol Visual Coding on User Search Performance in Map-Based Visualizations. ISPRS Int. J. Geo Inf. Weijia Ge, Jing Zhang, Xingjian Shi, Wenzhe Tang, Longlong Qian
2025	—	`conf`	Effects of Dynamic Visual Coding of Point Symbols in Map-Based Information Visualization Design: An Eye-Tracking Study. HCI (8) Weijia Ge, Jing Zhang, Shangsong Jiang, Xingjian Shi, Yanxu Zhou
2025	J	`jnl`	EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge. CoRR Ruskin Raj Manku, Yuzhi Tang, Xingjian Shi, Mu Li, Alex Smola
2025	—	`conf`	Genetic Programming-Based Hyper-Heuristic Algorithm for Dynamic Task Scheduling in Astronomical Observation Satellite. ICIC (13) Ziruo Fang, Ningbiao Tang, Zhencai Zhu, Xingjian Shi, Wen Chen
2025	A*	`conf`	L3Ms - Lagrange Large Language Models. ICLR Guneet S. Dhillon, Xingjian Shi, Yee Whye Teh, Alex Smola
2025	J	`jnl`	RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines. CoRR Pengfei Yu, Dongming Shen, Silin Meng, Jaewon Lee, Weisu Yin, Andrea Yaoyun Cui, Zhenlin Xu, Yi Zhu, Xingjian Shi, Mu Li, Alex Smola
2025	J	`jnl`	Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models. CoRR Hao Wu, Yuan Gao, Xingjian Shi, Shuaipeng Li, Fan Xu, Fan Zhang, Zhihong Zhu, Weiyan Wang, Xiao Luo, Kun Wang, Xian Wu, Xiaomeng Huang
2024	J	`jnl`	BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics. CoRR Hao Wu, Xingjian Shi, Ziyue Huang, Penghao Zhao, Wei Xiong, Jinbao Xue, Yangyu Tao, Xiaomeng Huang, Weiyan Wang
2024	J	`jnl`	Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift. J. Data-centric Mach. Learn. Res. Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li
2024	A*	`conf`	Bridging Remote Sensors with Multisensor Geospatial Foundation Models. CVPR Boran Han, Shuai Zhang, Xingjian Shi, Markus Reichstein
2024	J	`jnl`	Bridging Remote Sensors with Multisensor Geospatial Foundation Models. CoRR Boran Han, Shuai Zhang, Xingjian Shi, Markus Reichstein
2024	J	`jnl`	L3Ms - Lagrange Large Language Models. CoRR Guneet S. Dhillon, Xingjian Shi, Yee Whye Teh, Alex Smola
2023	A*	`conf`	A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data. SIGIR Wenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli
2023	—	`conf`	Automated Few-Shot Classification with Instruction-Finetuned Language Models. EMNLP (Findings) Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson
2023	J	`jnl`	Automated Few-shot Classification with Instruction-Finetuned Language Models. CoRR Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson
2023	J	`jnl`	GFM: Building Geospatial Foundation Models via Continual Pretraining. CoRR Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen, Mu Li
2023	J	`jnl`	LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation. CoRR Jiaxin Cheng, Xiao Liang, Xingjian Shi, Tong He, Tianjun Xiao, Mu Li
2023	A*	`conf`	Learning Multimodal Data Augmentation in Feature Space. ICLR Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson
2023	A*	`conf`	Parameter-Efficient Fine-Tuning Design Spaces. ICLR Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang
2023	J	`jnl`	Parameter-Efficient Fine-Tuning Design Spaces. CoRR Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang
2023	A*	`conf`	PreDiff: Precipitation Nowcasting with Latent Diffusion Models. NeurIPS Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Yuyang Wang
2023	J	`jnl`	PreDiff: Precipitation Nowcasting with Latent Diffusion Models. CoRR Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Yuyang Wang
2023	—	`conf`	Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation. ACL (1) Yuxin Ren, Zihan Zhong, Xingjian Shi, Yi Zhu, Chun Yuan, Mu Li
2023	J	`jnl`	Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation. CoRR Yuxin Ren, Zihan Zhong, Xingjian Shi, Yi Zhu, Chun Yuan, Mu Li
2023	A*	`conf`	Towards Geospatial Foundation Models via Continual Pretraining. ICCV Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen
2023	A*	`conf`	XTab: Cross-table Pretraining for Tabular Transformers. ICML Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
2023	J	`jnl`	XTab: Cross-table Pretraining for Tabular Transformers. CoRR Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
2022	J	`jnl`	A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data. CoRR Wenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli
2022	J	`jnl`	Are Multimodal Models Robust to Image and Text Perturbations? CoRR Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li
2022	A*	`conf`	Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. NeurIPS Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung
2022	J	`jnl`	Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. CoRR Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung
2022	J	`jnl`	First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting. CoRR Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Yuyang Wang
2022	J	`jnl`	Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar. CoRR Yaojie Hu, Xingjian Shi, Qiang Zhou, Lee Pike
2022	J	`jnl`	Learning Multimodal Data Augmentation in Feature Space. CoRR Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson
2022	A*	`conf`	Multimodal AutoML for Image, Text and Tabular Data. KDD Nick Erickson, Xingjian Shi, James Sharpnack, Alexander J. Smola
2022	A*	`conf`	Removing Batch Normalization Boosts Adversarial Training. ICML Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang
2022	J	`jnl`	Removing Batch Normalization Boosts Adversarial Training. CoRR Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang
2022	J	`jnl`	SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning. CoRR M. Saiful Bari, Aston Zhang, Shuai Zheng, Xingjian Shi, Yi Zhu, Shafiq Joty, Mu Li
2022	J	`jnl`	Visual Prompt Tuning for Test-time Domain Adaptation. CoRR Yunhe Gao, Xingjian Shi, Yi Zhu, Hao Wang, Zhiqiang Tang, Xiong Zhou, Mu Li, Dimitris N. Metaxas
2021	—	`conf`	Benchmarking Multimodal AutoML for Tabular Data with Text Fields. NeurIPS Datasets and Benchmarks Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alexander J. Smola
2021	J	`jnl`	Benchmarking Multimodal AutoML for Tabular Data with Text Fields. CoRR Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alexander J. Smola
2021	—	`conf`	Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing. SustaiNLP@EMNLP Haoyu He, Xingjian Shi, Jonas Mueller, Sheng Zha, Mu Li, George Karypis
2021	J	`jnl`	Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing. CoRR Haoyu He, Xingjian Shi, Jonas Mueller, Sheng Zha, Mu Li, George Karypis
2021	—	`conf`	Lorien: Efficient Deep Learning Workloads Delivery. SoCC Cody Hao Yu, Xingjian Shi, Haichen Shen, Zhi Chen, Mu Li, Yida Wang
2021	A*	`conf`	Symbolic Music Generation with Transformer-GANs. AAAI Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alexander J. Smola
2020	A*	`conf`	Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image Data. KDD Jonas Mueller, Xingjian Shi, Alexander J. Smola
2020	J	`jnl`	GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. 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
2019	—	`conf`	Dive into Deep Learning for Natural Language Processing. EMNLP/IJCNLP (2) Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander J. Smola
2019	J	`jnl`	GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. CoRR 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
2019	A*	`conf`	STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. IJCAI Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King
2019	J	`jnl`	STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. CoRR Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King
2018	A	`conf`	GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. UAI Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung
2018	J	`jnl`	GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. CoRR Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung
2018	J	`jnl`	Machine Learning for Spatiotemporal Sequence Forecasting: A Survey. CoRR Xingjian Shi, Dit-Yan Yeung
2017	—	`conf`	Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model. NIPS Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
2017	J	`jnl`	Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model. CoRR Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
2017	A*	`conf`	Dynamic Key-Value Memory Networks for Knowledge Tracing. WWW Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung
2017	A*	`conf`	Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. AAAI Hao Wang, Xingjian Shi, Dit-Yan Yeung
2017	A*	`conf`	Spatiotemporal Modeling for Crowd Counting in Videos. ICCV Feng Xiong, Xingjian Shi, Dit-Yan Yeung
2017	J	`jnl`	Spatiotemporal Modeling for Crowd Counting in Videos. CoRR Feng Xiong, Xingjian Shi, Dit-Yan Yeung
2016	—	`conf`	Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks. NIPS Hao Wang, Xingjian Shi, Dit-Yan Yeung
2016	J	`jnl`	Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks. CoRR Hao Wang, Xingjian Shi, Dit-Yan Yeung
2016	J	`jnl`	Dynamic Key-Value Memory Network for Knowledge Tracing. CoRR Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung
2016	—	`conf`	Natural-Parameter Networks: A Class of Probabilistic Neural Networks. NIPS Hao Wang, Xingjian Shi, Dit-Yan Yeung
2016	J	`jnl`	Natural-Parameter Networks: A Class of Probabilistic Neural Networks. CoRR Hao Wang, Xingjian Shi, Dit-Yan Yeung
2015	—	`conf`	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. NIPS Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
2015	J	`jnl`	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. CoRR Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
2015	A*	`conf`	Relational Stacked Denoising Autoencoder for Tag Recommendation. AAAI Hao Wang, Xingjian Shi, Dit-Yan Yeung
2014	—	`conf`	Denoising predictive sparse decomposition. BigComp Long Qian, Xingjian Shi