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2020 – today
- 2025
[j21]Xingchen Zou
, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang:
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook. Inf. Fusion 113: 102606 (2025)- 2024
- [j20]Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang:
Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3388-3405 (2024) - [j19]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6775-6794 (2024) - [j18]Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng:
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. IEEE Trans. Knowl. Data Eng. 36(10): 5388-5408 (2024) - [j17]Zhengyang Zhou, Kuo Yang, Yuxuan Liang, Binwu Wang, Hongyang Chen, Yang Wang:
Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity. IEEE Trans. Mob. Comput. 23(5): 4723-4738 (2024) - [j16]Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Li Liu, Yifang Yin, Roger Zimmermann:
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16328-16340 (2024) - [j15]Weiping Zheng, Minli Hong, Ruihao Ye, Xiaomao Fan, Yuxuan Liang, Gansen Zhao, Roger Zimmermann:
End-to-End Delay Modeling via Leveraging Competitive Interaction Among Network Flows. IEEE Trans. Netw. Serv. Manag. 21(2): 1634-1647 (2024) - [j14]Yuxuan Liang, Chuang Niu, Pingkun Yan, Ge Wang:
Flipover outperforms dropout in deep learning. Vis. Comput. Ind. Biomed. Art 7(1): 4 (2024) - [c73]Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu:
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. AAAI 2024: 11141-11149 - [c72]Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang:
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. AAAI 2024: 15906-15914 - [c71]Hang Zheng, Qingsong Li, Shen Chen, Yuxuan Liang, Li Liu:
SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER. AAAI 2024: 19679-19687 - [c70]Guorui Liao, Jiawei Liu, Yuxuan Liang, Shu Wang, Li Liu:
Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data. ICASSP 2024: 1701-1705 - [c69]Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng:
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. ICDE 2024: 747-760 - [c68]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui:
HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. ICDE 2024: 2779-2791 - [c67]Shuliang Wang, Song Tang, Sijie Ruan, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng:
Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning. ICDE 2024: 4167-4179 - [c66]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 2024 - [c65]Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang, Yang Wang:
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling. ICLR 2024 - [c64]Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang:
Graph Lottery Ticket Automated. ICLR 2024 - [c63]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position: What Can Large Language Models Tell Us about Time Series Analysis. ICML 2024 - [c62]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. ICML 2024 - [c61]Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You:
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. ICML 2024 - [c60]Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang:
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. IJCAI 2024: 2243-2251 - [c59]Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Yuxuan Liang:
Spatio-Temporal Field Neural Networks for Air Quality Inference. IJCAI 2024: 7260-7268 - [c58]Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. IJCAI 2024: 7554-7562 - [c57]Songyu Ke, Yuxuan Liang, Xiuwen Yi, Junbo Zhang, Yu Zheng:
GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference. IJCNN 2024: 1-8 - [c56]Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng:
Cluster-Wide Task Slowdown Detection in Cloud System. KDD 2024: 266-277 - [c55]Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang:
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. KDD 2024: 3152-3163 - [c54]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. KDD 2024: 3164-3175 - [c53]Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang:
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. KDD 2024: 4676-4687 - [c52]Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zheng, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan:
LaDe: The First Comprehensive Last-mile Express Dataset from Industry. KDD 2024: 5991-6002 - [c51]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD 2024: 6555-6565 - [c50]Yuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson:
The 13th International Workshop on Urban Computing. KDD 2024: 6727-6728 - [c49]Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang:
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation. ACM Multimedia 2024: 6307-6315 - [c48]Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann:
Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency. ECML/PKDD (3) 2024: 21-38 - [c47]Chengxin Wang, Yuxuan Liang, Gary Tan:
CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting. WSDM 2024: 702-711 - [c46]Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song:
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. WWW 2024: 3509-3520 - [c45]Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web. WWW 2024: 4006-4017 - [c44]Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann:
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. WWW 2024: 4095-4106 - [i82]Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu:
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting. CoRR abs/2401.00423 (2024) - [i81]Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann:
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification. CoRR abs/2401.09953 (2024) - [i80]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR abs/2402.01242 (2024) - [i79]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR abs/2402.02713 (2024) - [i78]Jun Wang, Wenjie Du, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen:
Deep Learning for Multivariate Time Series Imputation: A Survey. CoRR abs/2402.04059 (2024) - [i77]Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You:
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. CoRR abs/2402.05011 (2024) - [i76]Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang:
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts. CoRR abs/2402.05970 (2024) - [i75]Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang:
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. CoRR abs/2402.11463 (2024) - [i74]Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin:
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation. CoRR abs/2402.17334 (2024) - [i73]Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang:
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook. CoRR abs/2402.19348 (2024) - [i72]Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yang Wang:
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution. CoRR abs/2403.01738 (2024) - [i71]Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song:
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. CoRR abs/2403.01801 (2024) - [i70]Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Kun Wang, Shifen Cheng, Yuxuan Liang:
Spatio-Temporal Field Neural Networks for Air Quality Inference. CoRR abs/2403.02354 (2024) - [i69]Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Kai Wang, Yuxuan Liang, Yu Zheng, Kun Wang:
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. CoRR abs/2403.02914 (2024) - [i68]Haomin Wen, Zhenjie Wei, Yan Lin, Jiyuan Wang, Yuxuan Liang, Huaiyu Wan:
OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models. CoRR abs/2403.09733 (2024) - [i67]Hao Wu, Fan Xu, Yifan Duan, Ziwei Niu, Weiyan Wang, Gaofeng Lu, Kun Wang, Yuxuan Liang, Yang Wang:
Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance. CoRR abs/2403.13850 (2024) - [i66]Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng:
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. CoRR abs/2403.14151 (2024) - [i65]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR abs/2403.14735 (2024) - [i64]Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang:
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction. CoRR abs/2403.16831 (2024) - [i63]Qingxiang Liu, Sheng Sun, Yuxuan Liang, Jingjing Xue, Min Liu:
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. CoRR abs/2404.03702 (2024) - [i62]Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang:
Low-rank Adaptation for Spatio-Temporal Forecasting. CoRR abs/2404.07919 (2024) - [i61]Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang:
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. CoRR abs/2404.14073 (2024) - [i60]Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang:
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation. CoRR abs/2404.14241 (2024) - [i59]Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang:
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. CoRR abs/2404.15380 (2024) - [i58]Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen:
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR abs/2404.18886 (2024) - [i57]Shilong Wang, Hao Wu, Yifan Duan, Guibin Zhang, Guohao Li, Yuxuan Liang, Shirui Pan, Kun Wang, Yang Wang:
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN. CoRR abs/2405.07892 (2024) - [i56]Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Yuxuan Liang:
Learning Geospatial Region Embedding with Heterogeneous Graph. CoRR abs/2405.14135 (2024) - [i55]Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang:
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. CoRR abs/2405.14252 (2024) - [i54]Jinguo Cheng, Chunwei Yang, Wanlin Cai, Yuxuan Liang, Yuankai Wu:
NuwaTS: a Foundation Model Mending Every Incomplete Time Series. CoRR abs/2405.15317 (2024) - [i53]Jiaxi Hu, Disen Lan, Ziyu Zhou, Qingsong Wen, Yuxuan Liang:
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting. CoRR abs/2405.16312 (2024) - [i52]Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. CoRR abs/2405.18910 (2024) - [i51]Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang:
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting. CoRR abs/2406.03710 (2024) - [i50]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. CoRR abs/2406.12539 (2024) - [i49]Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen:
TSI-Bench: Benchmarking Time Series Imputation. CoRR abs/2406.12747 (2024) - [i48]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search with Supplementary Materials. CoRR abs/2406.13409 (2024) - [i47]Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng:
Cluster-Wide Task Slowdown Detection in Cloud System. CoRR abs/2408.04236 (2024) - [i46]Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen:
Unlocking the Power of LSTM for Long Term Time Series Forecasting. CoRR abs/2408.10006 (2024) - [i45]Jianxiang Zhou, Erdong Liu, Wei Chen, Siru Zhong, Yuxuan Liang:
Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting. CoRR abs/2408.10822 (2024) - [i44]Ziyang Wu, Fan Liu, Jindong Han, Yuxuan Liang, Hao Liu:
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction. CoRR abs/2409.15764 (2024) - [i43]Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen:
Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. CoRR abs/2410.01677 (2024) - 2023
- [j13]Songyu Ke, Zheyi Pan, Tianfu He, Yuxuan Liang, Junbo Zhang, Yu Zheng:
AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction. Artif. Intell. 318: 103899 (2023) - [j12]Yu Zhang, Yuxuan Liang, Jin Zhao, Fubing Mao, Lin Gu, Xiaofei Liao, Hai Jin, Haikun Liu, Song Guo, Yangqing Zeng, Hang Hu, Chen Li, Ji Zhang, Biao Wang:
EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing. IEEE Trans. Knowl. Data Eng. 35(6): 5823-5836 (2023) - [j11]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann:
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting. IEEE Trans. Knowl. Data Eng. 35(9): 9254-9268 (2023) - [c43]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. AAAI 2023: 14329-14337 - [c42]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoNLL 2023: 414-423 - [c41]Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi:
Primacy Effect of ChatGPT. EMNLP 2023: 108-115 - [c40]Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. SIGSPATIAL/GIS 2023: 60:1-60:12 - [c39]Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin:
Contrastive Trajectory Similarity Learning with Dual-Feature Attention. ICDE 2023: 2933-2945 - [c38]Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang:
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective. ICLR 2023 - [c37]Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann:
Graph Neural Processes for Spatio-Temporal Extrapolation. KDD 2023: 752-763 - [c36]Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang:
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. KDD 2023: 3603-3614 - [c35]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search. ACM Multimedia 2023: 56-66 - [c34]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. NeurIPS 2023 - [c33]Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann:
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. NeurIPS 2023 - [i42]Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann:
Do We Really Need Graph Neural Networks for Traffic Forecasting? CoRR abs/2301.12603 (2023) - [i41]Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Roger Zimmermann, Yuxuan Liang:
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. CoRR abs/2301.13629 (2023) - [i40]Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng:
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. CoRR abs/2303.14483 (2023) - [i39]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoRR abs/2305.13551 (2023) - [i38]Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann:
Graph Neural Processes for Spatio-Temporal Extrapolation. CoRR abs/2305.18719 (2023) - [i37]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. CoRR abs/2306.08259 (2023) - [i36]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR abs/2306.10125 (2023) - [i35]Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zheng, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan:
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry. CoRR abs/2306.10675 (2023) - [i34]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials. CoRR abs/2307.03398 (2023) - [i33]Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang:
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field. CoRR abs/2308.10051 (2023) - [i32]Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan:
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. CoRR abs/2309.01194 (2023) - [i31]Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann:
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. CoRR abs/2309.13378 (2023) - [i30]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR abs/2310.01728 (2023) - [i29]Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann:
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. CoRR abs/2310.09751 (2023) - [i28]Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong:
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR abs/2310.10196 (2023) - [i27]Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi:
Primacy Effect of ChatGPT. CoRR abs/2310.13206 (2023) - [i26]Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann:
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning. CoRR abs/2310.17360 (2023) - [i25]Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
When Urban Region Profiling Meets Large Language Models. CoRR abs/2310.18340 (2023) - [i24]Xinglin Li, Kun Wang, Hanhui Deng, Yuxuan Liang, Di Wu:
Attend Who is Weak: Enhancing Graph Condensation via Cross-Free Adversarial Training. CoRR abs/2311.15772 (2023) - [i23]Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng:
MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain. CoRR abs/2311.16191 (2023) - [i22]Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu:
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach. CoRR abs/2312.01699 (2023) - [i21]Hao Wu, Shilong Wang, Yuxuan Liang, Zhengyang Zhou, Wei Huang, Wei Xiong, Kun Wang:
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. CoRR abs/2312.08403 (2023) - 2022
- [j10]Yoojin An, Sangyeon Kim, Yuxuan Liang, Roger Zimmermann, Dongho Kim, Jihie Kim:
Content-Attribute Disentanglement for Generalized Zero-Shot Learning. IEEE Access 10: 58320-58331 (2022) - [j9]Ling Gao, Yuxuan Liang, Jiaqi Yang, Shaoxun Wu, Chenyu Wang, Jiaben Chen, Laurent Kneip:
VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM. IEEE Robotics Autom. Lett. 7(3): 8217-8224 (2022) - [j8]Ye Liu, Yuxuan Liang, Kun Ouyang, Shuming Liu, David S. Rosenblum, Yu Zheng:
Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach. IEEE Trans. Big Data 8(2): 564-578 (2022) - [j7]Yang Liu, Yingting Liu, Zhijie Liu, Yuxuan Liang, Chuishi Meng, Junbo Zhang, Yu Zheng:
Federated Forest. IEEE Trans. Big Data 8(3): 843-854 (2022) - [j6]Beibei Si, Yuxuan Liang, Jin Zhao, Yu Zhang, Xiaofei Liao, Hai Jin, Haikun Liu, Lin Gu:
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing. IEEE Trans. Big Data 8(5): 1182-1194 (2022) - [j5]Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Meta Learning for Urban Traffic Prediction. IEEE Trans. Knowl. Data Eng. 34(3): 1462-1476 (2022) - [j4]Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng:
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2348-2359 (2022) - [j3]Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum:
Fine-Grained Urban Flow Inference. IEEE Trans. Knowl. Data Eng. 34(6): 2755-2770 (2022) - [j2]Zikun Deng, Di Weng, Yuxuan Liang, Jie Bao, Yu Zheng, Tobias Schreck, Mingliang Xu, Yingcai Wu:
Visual Cascade Analytics of Large-Scale Spatiotemporal Data. IEEE Trans. Vis. Comput. Graph. 28(6): 2486-2499 (2022) - [c32]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
TrajFormer: Efficient Trajectory Classification with Transformers. CIKM 2022: 1229-1237 - [c31]Yuxuan Liang, Juntian Su, Yufan Hu, Yang Shen:
Optimal battery selection for solar storage system. CIPAE 2022: 73-79 - [c30]Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan:
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition. ECCV (34) 2022: 577-595 - [c29]Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
When do contrastive learning signals help spatio-temporal graph forecasting? SIGSPATIAL/GIS 2022: 5:1-5:12 - [c28]Chengxin Wang, Yuxuan Liang, Gary Tan:
Periodic residual learning for crowd flow forecasting. SIGSPATIAL/GIS 2022: 13:1-13:10 - [c27]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling on Temporal Graphs. IJCNN 2022: 1-8 - [c26]Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li:
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. KDD 2022: 2263-2274 - [c25]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery. ACM Multimedia 2022: 6155-6164 - [c24]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. NAACL-HLT (Findings) 2022: 1698-1708 - [c23]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. NAACL-HLT 2022: 3071-3081 - [i20]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. CoRR abs/2205.03784 (2022) - [i19]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction. CoRR abs/2205.03786 (2022) - [i18]Ling Gao, Yuxuan Liang, Jiaqi Yang, Shaoxun Wu, Chenyu Wang, Jiaben Chen, Laurent Kneip:
VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM. CoRR abs/2207.01404 (2022) - [i17]Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li:
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. CoRR abs/2207.05584 (2022) - [i16]Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin:
Contrastive Trajectory Similarity Learning with Dual-Feature Attention. CoRR abs/2210.05155 (2022) - [i15]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. CoRR abs/2211.15979 (2022) - 2021
- [c22]Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann:
Modeling Trajectories with Neural Ordinary Differential Equations. IJCAI 2021: 1498-1504 - [c21]Yifang Yin, Ying Zhang, Zhenguang Liu, Yuxuan Liang, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann:
Learning Multi-context Aware Location Representations from Large-scale Geotagged Images. ACM Multimedia 2021: 899-907 - [c20]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi:
Adaptive Data Augmentation on Temporal Graphs. NeurIPS 2021: 1440-1452 - [c19]Zekun Tong, Yuxuan Liang, Henghui Ding, Yongxing Dai, Xinke Li, Changhu Wang:
Directed Graph Contrastive Learning. NeurIPS 2021: 19580-19593 - [c18]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
CurGraph: Curriculum Learning for Graph Classification. WWW 2021: 1238-1248 - [c17]Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann:
Fine-Grained Urban Flow Prediction. WWW 2021: 1833-1845 - [c16]Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng:
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱. WWW 2021: 1846-1855 - [c15]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
Mixup for Node and Graph Classification. WWW 2021: 3663-3674 - [i14]Xu Liu, Yuxuan Liang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
Spatio-Temporal Graph Contrastive Learning. CoRR abs/2108.11873 (2021) - [i13]Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Yifang Yin, Ying Zhang, Roger Zimmermann:
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference. CoRR abs/2109.09506 (2021) - [i12]Yuxuan Liang, Chuang Niu, Chen Wei, Shenghan Ren, Wenxiang Cong, Ge Wang:
Phase function estimation from a diffuse optical image via deep learning. CoRR abs/2111.08227 (2021) - [i11]Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi:
Structure-Aware Label Smoothing for Graph Neural Networks. CoRR abs/2112.00499 (2021) - [i10]Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan:
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition. CoRR abs/2112.04674 (2021) - [i9]Chengxin Wang, Yuxuan Liang, Gary Tan:
PRNet: A Periodic Residual Learning Network for Crowd Flow Forecasting. CoRR abs/2112.06132 (2021) - [i8]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling for Temporal Graph Networks. CoRR abs/2112.09845 (2021) - 2020
- [j1]Sijie Ruan, Jie Bao, Yuxuan Liang, Ruiyuan Li, Tianfu He, Chuishi Meng, Yanhua Li, Yingcai Wu, Yu Zheng:
Dynamic Public Resource Allocation Based on Human Mobility Prediction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 25:1-25:22 (2020) - [c14]Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng:
Learning to Generate Maps from Trajectories. AAAI 2020: 890-897 - [c13]Kun Ouyang, Yuxuan Liang, Ye Liu, David S. Rosenblum, Wenzhuo Yang:
Unsupervised Learning of Disentangled Location Embeddings. IJCNN 2020: 1-8 - [c12]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi:
NodeAug: Semi-Supervised Node Classification with Data Augmentation. KDD 2020: 207-217 - [c11]Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng:
AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction. KDD 2020: 794-802 - [c10]Zekun Tong, Yuxuan Liang, Changsheng Sun, Xinke Li, David S. Rosenblum, Andrew Lim:
Digraph Inception Convolutional Networks. NeurIPS 2020 - [c9]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
Progressive Supervision for Node Classification. ECML/PKDD (1) 2020: 266-281 - [c8]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum:
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics. ECML/PKDD (1) 2020: 578-594 - [i7]Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum:
Fine-Grained Urban Flow Inference. CoRR abs/2002.02318 (2020) - [i6]Yuxuan Liang, Kun Ouyang, Junbo Zhang, Yu Zheng, David S. Rosenblum:
Revisiting Convolutional Neural Networks for Urban Flow Analytics. CoRR abs/2003.00895 (2020) - [i5]Zekun Tong, Yuxuan Liang, Changsheng Sun, David S. Rosenblum, Andrew Lim:
Directed Graph Convolutional Network. CoRR abs/2004.13970 (2020) - [i4]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
GraphCrop: Subgraph Cropping for Graph Classification. CoRR abs/2009.10564 (2020)
2010 – 2019
- 2019
- [c7]Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum:
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. IJCAI 2019: 3835-3841 - [c6]Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang:
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning. KDD 2019: 1720-1730 - [c5]Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng:
UrbanFM: Inferring Fine-Grained Urban Flows. KDD 2019: 3132-3142 - [i3]Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng:
UrbanFM: Inferring Fine-Grained Urban Flows. CoRR abs/1902.05377 (2019) - 2018
- [c4]Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng:
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction. IJCAI 2018: 3428-3434 - [i2]Zheyi Pan, Yuxuan Liang, Junbo Zhang, Xiuwen Yi, Yong Yu, Yu Zheng:
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting. CoRR abs/1809.10889 (2018) - 2017
- [c3]Yuxuan Liang, Zhongyuan Jiang, Yu Zheng:
Inferring Traffic Cascading Patterns. SIGSPATIAL/GIS 2017: 2:1-2:10 - [c2]Yuyan Sun, Yuxuan Liang, Zizhen Zhang, Jiahai Wang:
M-NSGA-II: A Memetic Algorithm for Vehicle Routing Problem with Route Balancing. IEA/AIE (1) 2017: 61-71 - 2016
- [c1]Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum:
Urban Water Quality Prediction Based on Multi-Task Multi-View Learning. IJCAI 2016: 2576-2581 - [i1]Ye Liu, Yuxuan Liang, Shuming Liu, David S. Rosenblum, Yu Zheng:
Predicting Urban Water Quality with Ubiquitous Data. CoRR abs/1610.09462 (2016)
Coauthor Index
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