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Yu Rong
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2020 – today
- 2024
- [j37]Yi Lin, Daiqi Zhong, Yu Rong, Jie Yu, Lang Li, Xin Chen, Xuefei Zhou, Hongtao Wang:
A comprehensive framework for assessing the spatiotemporal impact of land use and cover change on lake eutrophication. Int. J. Appl. Earth Obs. Geoinformation 131: 103989 (2024) - [j36]Yu Rong, Isabella Lenz, Daniel W. Bliss:
Noncontact Cardiac Parameters Estimation Using Radar Acoustics for Healthcare IoT. IEEE Internet Things J. 11(5): 7630-7639 (2024) - [j35]Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang:
Toward Robust Self-Training Paradigm for Molecular Prediction Tasks. J. Comput. Biol. 31(3): 213-228 (2024) - [j34]Yuansheng Ning, Hongbo Wang, Ying Liu, Qi Wang, Yu Rong, Jianye Niu:
Design and analysis of a compatible exoskeleton rehabilitation robot system based on upper limb movement mechanism. Medical Biol. Eng. Comput. 62(3): 883-899 (2024) - [j33]Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong:
Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks 176: 106328 (2024) - [j32]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Recognizing Predictive Substructures With Subgraph Information Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1650-1663 (2024) - [j31]Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu:
Inductive Attributed Community Search: to Learn Communities across Graphs. Proc. VLDB Endow. 17(10): 2576-2589 (2024) - [j30]Yu Rong, Guoying Gu:
Vision-Based Real-Time Shape Estimation of Self-Occluding Soft Parallel Robots Using Neural Networks. IEEE Robotics Autom. Lett. 9(8): 7349-7356 (2024) - [j29]Shuaifeng Jiang, Ahmed Alkhateeb, Daniel W. Bliss, Yu Rong:
Vision-Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds. IEEE Trans. Aerosp. Electron. Syst. 60(4): 4640-4649 (2024) - [j28]Yu Rong, Daniel W. Bliss:
Insights on Using Time-of-Flight Camera for Recovering Cardiac Pulse From Chest Motion in Depth Videos. IEEE Trans. Biomed. Eng. 71(3): 772-779 (2024) - [c94]Yu Rong, Kawon Han, Isabella Lenz, Daniel W. Bliss:
Motion-Tolerant Radar-Based Heart Sound Detection. ICASSP 2024: 2185-2189 - [c93]Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han:
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel. ICLR 2024 - [c92]Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong:
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. ICLR 2024 - [c91]Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong:
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning. KDD 2024: 4548-4558 - [i77]Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang:
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. CoRR abs/2403.00485 (2024) - [i76]Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu:
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. CoRR abs/2403.17740 (2024) - [i75]Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong:
Functional Protein Design with Local Domain Alignment. CoRR abs/2404.16866 (2024) - [i74]Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong:
Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation. CoRR abs/2404.16880 (2024) - [i73]Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang:
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics. CoRR abs/2405.12868 (2024) - [i72]Zhicheng Chen, Xi Xiao, Ke Xu, Zhong Zhang, Yu Rong, Qing Li, Guojun Gan, Zhiqiang Xu, Peilin Zhao:
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series. CoRR abs/2405.19661 (2024) - [i71]Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong:
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning. CoRR abs/2406.16295 (2024) - [i70]Keqiang Sun, Amin Jourabloo, Riddhish Bhalodia, Moustafa Meshry, Yu Rong, Zhengyu Yang, Thu Nguyen-Phuoc, Christian Häne, Jiu Xu, Sam Johnson, Hongsheng Li, Sofien Bouaziz:
GenCA: A Text-conditioned Generative Model for Realistic and Drivable Codec Avatars. CoRR abs/2408.13674 (2024) - 2023
- [j27]Jie Yu, Yu Rong, Yi Lin, Xin Li, Chen Gao, Tinghui Zhang, Xuefei Zhou, Jianqing Cai, Nico Sneeuw:
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development. Int. J. Appl. Earth Obs. Geoinformation 123: 103475 (2023) - [j26]Kangfei Zhao, Zongyan He, Jeffrey Xu Yu, Yu Rong:
Learning with Small Data: Subgraph Counting Queries. Data Sci. Eng. 8(3): 292-305 (2023) - [j25]Xingchao Zhang, Hongbo Wang, Yu Rong, Jianye Niu, Junjie Tian, Yuansheng Ning:
Kinematics and stiffness Analysis of a Novel 4-DOF over-constrained Parallel Mechanism with three Legs. Int. J. Robotics Autom. 38(6): 450-460 (2023) - [j24]Yuli Jiang, Huaijia Lin, Ye Li, Yu Rong, Hong Cheng, Xin Huang:
Exploiting node-feature bipartite graph in graph convolutional networks. Inf. Sci. 628: 409-423 (2023) - [j23]Carl W. Morgenstern, Yu Rong, Andrew Herschfelt, Alyosha C. Molnar, Alyssa B. Apsel, David G. Landon, Daniel W. Bliss:
Analog-Domain Self-Interference Cancellation for Practical Multi-Tap Full-Duplex System: Theory, Modeling, and Algorithm. IEEE J. Sel. Areas Commun. 41(9): 2796-2807 (2023) - [j22]Jia Li, Yongfeng Huang, Heng Chang, Yu Rong:
Semi-Supervised Hierarchical Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6265-6276 (2023) - [j21]Chengzhi Piao, Tingyang Xu, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng:
Computing Graph Edit Distance via Neural Graph Matching. Proc. VLDB Endow. 16(8): 1817-1829 (2023) - [j20]Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang:
Finding Critical Users in Social Communities via Graph Convolutions. IEEE Trans. Knowl. Data Eng. 35(1): 456-468 (2023) - [j19]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang:
Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. IEEE Trans. Knowl. Data Eng. 35(5): 4499-4513 (2023) - [j18]Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang:
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions. Trans. Mach. Learn. Res. 2023 (2023) - [j17]Kangfei Zhao, Jeffrey Xu Yu, Qiyan Li, Hao Zhang, Yu Rong:
Learned sketch for subgraph counting: a holistic approach. VLDB J. 32(5): 937-962 (2023) - [c90]Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI 2023: 8023-8031 - [c89]Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu:
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. AAAI 2023: 8096-8104 - [c88]Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li:
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. AAAI 2023: 14347-14355 - [c87]Yu Rong, Kumar Vijay Mishra, Daniel W. Bliss:
Novel Respiration-Free Heartbeat Detection Algorithm Using Millimeter-Wave Radar: Invited Paper. ACSSC 2023: 1724-1727 - [c86]Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao:
Geometric Graph Learning for Protein Mutation Effect Prediction. CIKM 2023: 3412-3422 - [c85]Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Yu Rong:
Learning with Small Data: Subgraph Counting Queries. DASFAA (3) 2023: 308-319 - [c84]Kushal Chawla, Ian Wu, Yu Rong, Gale M. Lucas, Jonathan Gratch:
Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions. EMNLP 2023: 13078-13092 - [c83]Hui Tang, Xueqin Liu, Yu Rong, Daniel W. Bliss:
Graph based Method for Enhanced Heart Rate Trace Estimation using UWB Impulse Radar. EUSIPCO 2023: 775-779 - [c82]Yu Rong, Daneil Bliss:
Novel Heartbeat Detection Method in Presence of Large-Scale Random Body Movement Using SFCW Radar: A Simulated Study. EUSIPCO 2023: 790-794 - [c81]Yu Rong, Kumar Vijay Mishra, Daniel W. Bliss:
Wireless Sensing for Simultaneous Human Vocal Sound and Heart Sound Recognition. ICASSP 2023: 1-5 - [c80]Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng:
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. ICDE 2023: 3467-3480 - [c79]Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao:
Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. KDD 2023: 154-166 - [c78]Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung:
Deep Insights into Noisy Pseudo Labeling on Graph Data. NeurIPS 2023 - [c77]Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang:
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics. NeurIPS 2023 - [i69]Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng:
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. CoRR abs/2303.02405 (2023) - [i68]Shuaifeng Jiang, Ahmed Alkhateeb, Daniel W. Bliss, Yu Rong:
Vision Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds. CoRR abs/2306.10515 (2023) - [i67]Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks. CoRR abs/2306.12091 (2023) - [i66]Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong:
Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation. CoRR abs/2308.13212 (2023) - [i65]Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung:
Deep Insights into Noisy Pseudo Labeling on Graph Data. CoRR abs/2310.01634 (2023) - [i64]Kushal Chawla, Ian Wu, Yu Rong, Gale M. Lucas, Jonathan Gratch:
Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions. CoRR abs/2310.14404 (2023) - [i63]Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han:
Long-Range Neural Atom Learning for Molecular Graphs. CoRR abs/2311.01276 (2023) - 2022
- [j16]Wei-Xin Hu, Yu Rong, Yan Guo, Feng Jiang, Wen Tian, Hao Chen, Shan-Shan Dong, Tie-Lin Yang:
ExsgRNA: reduce off-target efficiency by on-target mismatched sgRNA. Briefings Bioinform. 23(5) (2022) - [j15]Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang:
Cross-dependent graph neural networks for molecular property prediction. Bioinform. 38(7): 2003-2009 (2022) - [j14]Xiaochu Tong, Dingyan Wang, Xiaoyu Ding, Xiaoqin Tan, Qun Ren, Geng Chen, Yu Rong, Tingyang Xu, Junzhou Huang, Hualiang Jiang, Mingyue Zheng, Xutong Li:
Blood-brain barrier penetration prediction enhanced by uncertainty estimation. J. Cheminformatics 14(1): 44 (2022) - [j13]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6209-6223 (2022) - [j12]Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He:
Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognit. 126: 108581 (2022) - [j11]Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed. Proc. VLDB Endow. 15(6): 1243-1255 (2022) - [j10]Yu Rong, Ziwei Liu, Chen Change Loy:
Chasing the Tail in Monocular 3D Human Reconstruction With Prototype Memory. IEEE Trans. Image Process. 31: 2907-2919 (2022) - [c76]Carl W. Morgenstern, Yu Rong, Andrew Herschfelt, Alyosha C. Molnar, Alyssa B. Apsel, David G. Landon, Daniel W. Bliss:
Tuning Algorithm to Compensate for Hardware Errors of IBFD Analog Device. IEEECONF 2022: 1228-1232 - [c75]Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang:
Robust self-training strategy for various molecular biology prediction tasks. BCB 2022: 34:1-34:5 - [c74]Jiawei Li, Fan Yang, Fang Wang, Yu Rong, Peilin Zhao, Shizhan Chen, Jianhua Yao, Jijun Tang, Fei Guo:
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data. BIBM 2022: 102-107 - [c73]Jingbo Wang, Yu Rong, Jingyuan Liu, Sijie Yan, Dahua Lin, Bo Dai:
Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis. CVPR 2022: 20428-20437 - [c72]Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang:
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). ICDE 2022: 1539-1540 - [c71]Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Equivariant Graph Mechanics Networks with Constraints. ICLR 2022 - [c70]Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang:
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. ICLR 2022 - [c69]Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei:
Frustratingly Easy Transferability Estimation. ICML 2022: 9201-9225 - [c68]Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu:
Local Augmentation for Graph Neural Networks. ICML 2022: 14054-14072 - [c67]Yu Rong, Jinglong Jiang, Husna Mutahira, Mannan Saeed Muhammad:
Monocular Intra-vehicular Distance Estimation using Front Vehicle License Plate. IMCOM 2022: 1-6 - [c66]Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian:
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport. IJCAI 2022: 3730-3736 - [c65]Jiaqi Han, Wenbing Huang, Tingyang Xu, Yu Rong:
Equivariant Graph Hierarchy-Based Neural Networks. NeurIPS 2022 - [c64]Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao:
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. SIGIR 2022: 353-362 - [c63]Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong:
Diversified Multiscale Graph Learning with Graph Self-Correction. TAG-ML 2022: 48-54 - [c62]Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng:
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. WSDM 2022: 1129-1139 - [c61]Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou:
Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. WWW 2022: 1148-1158 - [i62]Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR abs/2201.09637 (2022) - [i61]Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou:
Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction. CoRR abs/2201.13311 (2022) - [i60]Jiaqi Han, Yu Rong, Tingyang Xu, Wenbing Huang:
Geometrically Equivariant Graph Neural Networks: A Survey. CoRR abs/2202.07230 (2022) - [i59]Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong:
Transformer for Graphs: An Overview from Architecture Perspective. CoRR abs/2202.08455 (2022) - [i58]Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang:
Equivariant Graph Hierarchy-Based Neural Networks. CoRR abs/2202.10643 (2022) - [i57]Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Equivariant Graph Mechanics Networks with Constraints. CoRR abs/2203.06442 (2022) - [i56]Runfa Chen, Yu Rong, Shangmin Guo, Jiaqi Han, Fuchun Sun, Tingyang Xu, Wenbing Huang:
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation. CoRR abs/2203.07988 (2022) - [i55]Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian:
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport. CoRR abs/2203.10453 (2022) - [i54]Jiying Zhang, Fuyang Li, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Yatao Bian:
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs. CoRR abs/2203.16939 (2022) - [i53]Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao:
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR abs/2205.10014 (2022) - [i52]Jingbo Wang, Yu Rong, Jingyuan Liu, Sijie Yan, Dahua Lin, Bo Dai:
Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis. CoRR abs/2205.13001 (2022) - [i51]Jia Li, Yongfeng Huang, Heng Chang, Yu Rong:
Semi-Supervised Hierarchical Graph Classification. CoRR abs/2206.05416 (2022) - [i50]Xueyi Liu, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang, Junzhou Huang:
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training. CoRR abs/2206.11959 (2022) - [i49]Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu:
3D Equivariant Molecular Graph Pretraining. CoRR abs/2207.08824 (2022) - [i48]Zeyu Cao, Zhipeng Liang, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao, Bingzhe Wu:
Vertical Federated Linear Contextual Bandits. CoRR abs/2210.11050 (2022) - [i47]Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li:
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax. CoRR abs/2212.05707 (2022) - 2021
- [j9]Jia-Bin Chen, Shan-Shan Dong, Shi Yao, Yuan-Yuan Duan, Wei-Xin Hu, Hao Chen, Nai-Ning Wang, Xiao-Feng Chen, Ruo-Han Hao, Hlaing Nwe Thynn, Ming-Rui Guo, Yu-Jie Zhang, Yu Rong, Yi-Xiao Chen, Fu-Ling Zhou, Yan Guo, Tie-Lin Yang:
Modeling circRNA expression pattern with integrated sequence and epigenetic features demonstrates the potential involvement of H3K79me2 in circRNA expression. Bioinform. 37(19): 3386 (2021) - [j8]Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao:
Molecular graph enhanced transformer for retrosynthesis prediction. Neurocomputing 457: 193-202 (2021) - [j7]Yu Rong, Arindam Dutta, Alex R. Chiriyath, Daniel W. Bliss:
Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion. Sensors 21(5): 1774 (2021) - [j6]Yu Rong, Richard M. Gutierrez, Kumar Vijay Mishra, Daniel W. Bliss:
Noncontact Vital Sign Detection With UAV-Borne Radars: An Overview of Recent Advances. IEEE Veh. Technol. Mag. 16(3): 118-128 (2021) - [c60]Yu Rong, Jingbo Wang, Ziwei Liu, Chen Change Loy:
Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements. 3DV 2021: 432-441 - [c59]Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang:
Hierarchical Graph Capsule Network. AAAI 2021: 10603-10611 - [c58]Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, Junzhou Huang:
Gradient-Norm Based Attentive Loss for Molecular Property Prediction. BIBM 2021: 497-502 - [c57]Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang:
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. CIKM 2021: 1008-1017 - [c56]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu:
Spectral Graph Attention Network with Fast Eigen-approximation. CIKM 2021: 2905-2909 - [c55]Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang:
Towards Expectation-Maximization by SQL in RDBMS. DASFAA (2) 2021: 778-794 - [c54]Yu Rong, Kumar Vijay Mishra, Daniel W. Bliss:
Radar-Based Radial Arterial Pulse Rate and Pulse Pressure Analysis. EUSIPCO 2021: 1870-1874 - [c53]Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. ICCV 2021: 9174-9183 - [c52]Yu Rong, Takaaki Shiratori, Hanbyul Joo:
FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration. ICCVW 2021: 1749-1759 - [c51]