Yuxuan Liang

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 158

Top Venues

CoRR

KDD

WWW

IEEE Trans. Knowl. Data Eng.

Publications

Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang
Low-rank Adaptation for Spatio-Temporal Forecasting. CoRR (2024)
Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Yuxuan Liang
Learning Geospatial Region Embedding with Heterogeneous Graph. CoRR (2024)
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 (2024)
Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting. CoRR (2024)
Jinguo Cheng, Chunwei Yang, Wanlin Cai, Yuxuan Liang, Yuankai Wu
NuwaTS: a Foundation Model Mending Every Incomplete Time Series. CoRR (2024)
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 (2024)
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)
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)
Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng
Cluster-Wide Task Slowdown Detection in Cloud System. KDD (2024)
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)
Jun Wang, Wenjie Du, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen
Deep Learning for Multivariate Time Series Imputation: A Survey. CoRR (2024)
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)
Jiaxi Hu, Disen Lan, Ziyu Zhou, Qingsong Wen, Yuxuan Liang
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting. CoRR (2024)
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 (2024)
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) (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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)
Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation. CoRR (2024)
Yuxuan Liang, Chuang Niu, Pingkun Yan, Ge Wang
Flipover outperforms dropout in deep learning. Vis. Comput. Ind. Biomed. Art 7 (1) (2024)
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) (2024)
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 (2024)
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 (2024)
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 (2024)
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)
Haomin Wen, Zhenjie Wei, Yan Lin, Jiyuan Wang, Yuxuan Liang, Huaiyu Wan
OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models. CoRR (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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)
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)
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 (2024)
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) (2024)
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)
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 (2024)
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)
Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting. CoRR (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. AAAI (2024)
Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. CoRR (2024)
Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. WWW (2024)
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)
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)
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 (2024)
Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. CoRR (2024)
Chengxin Wang, Yuxuan Liang, Gary Tan
CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting. WSDM (2024)
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 (2023)
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)
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)
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)
Songyu Ke, Zheyi Pan, Tianfu He, Yuxuan Liang, Junbo Zhang, Yu Zheng
: An automatic framework to discover the optimal network for spatio-temporal graph prediction. Artif. Intell. 318 (2023)
Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi
Primacy Effect of ChatGPT. EMNLP (2023)
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)
Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
EntRED: Benchmarking Relation Extraction with Fewer Shortcuts. CoRR (2023)
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 (2023)
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 (2023)
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann
Graph Neural Processes for Spatio-Temporal Extrapolation. KDD (2023)
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 (2023)
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)
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 (2023)
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 (2023)
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann
Graph Neural Processes for Spatio-Temporal Extrapolation. CoRR (2023)
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) (2023)
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 (2023)
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 (2023)
Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi
Primacy Effect of ChatGPT. CoRR (2023)
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 (2023)
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)
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 (2023)
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) (2023)
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 (2023)
Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach. CoRR (2023)
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 (2023)
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 (2023)
Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning. CoRR (2023)
Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin
Contrastive Trajectory Similarity Learning with Dual-Feature Attention. ICDE (2023)
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 (2023)
Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Roger Zimmermann, Yuxuan Liang
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. CoRR (2023)
Xinglin Li, Kun Wang, Hanhui Deng, Yuxuan Liang, Di Wu
Attend Who is Weak: Enhancing Graph Condensation via Cross-Free Adversarial Training. CoRR (2023)
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)
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 (2023)
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)
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)
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) (2022)
Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. CoRR (2022)
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) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yuxuan Liang