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2020 – today
- 2024
[j15]Jiajian Huang, Jinpeng Li, Qinchang Chen, Xia Wang, Guangyong Chen, Jin Tang:
Freeprotmap: waiting-free prediction method for protein distance map. BMC Bioinform. 25(1): 176 (2024)- [j14]Hanqun Cao
, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. 36(7): 2814-2830 (2024) - [j13]Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang:
Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. ACM Trans. Inf. Syst. 42(2): 58:1-58:26 (2024) - [c39]Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
PointPatchMix: Point Cloud Mixing with Patch Scoring. AAAI 2024: 5686-5694 - [c38]Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. AAAI 2024: 15456-15465 - [c37]Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. AAAI 2024: 16587-16595 - [c36]Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. ICML 2024 - [c35]Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. ICRA 2024: 10772-10778 - [c34]Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen, Pheng-Ann Heng:
DPPMask: Masked Image Modeling with Determinantal Point Processes. WACV 2024: 2255-2265 - [i45]Hao Chen, Jiaze Wang, Ziyu Guo, Jinpeng Li, Donghao Zhou, Bian Wu, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning. CoRR abs/2401.11847 (2024) - [i44]Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng-Ann Heng, Guangyong Chen:
An Autonomous Large Language Model Agent for Chemical Literature Data Mining. CoRR abs/2402.12993 (2024) - [i43]Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. CoRR abs/2402.16664 (2024) - [i42]Guibao Shen, Luozhou Wang, Jiantao Lin, Wenhang Ge, Chaozhe Zhang, Xin Tao, Yuan Zhang, Pengfei Wan, Zhongyuan Wang, Guangyong Chen, Yijun Li, Ying-Cong Chen:
SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance. CoRR abs/2405.15321 (2024) - [i41]Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
TripletMix: Triplet Data Augmentation for 3D Understanding. CoRR abs/2405.18523 (2024) - [i40]Jiaze Wang, Hao Chen, Hongcan Xu, Jinpeng Li, Bowen Wang, Kun Shao, Furui Liu, Huaxi Chen, Guangyong Chen, Pheng-Ann Heng:
SFANet: Spatial-Frequency Attention Network for Weather Forecasting. CoRR abs/2405.18849 (2024) - [i39]Chunbin Gu, Mutian He, Hanqun Cao, Guangyong Chen, Chang-Yu Hsieh, Pheng-Ann Heng:
Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries. CoRR abs/2409.05916 (2024) - 2023
- [j12]Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Ercheng Wang, Tingjun Hou, Pheng-Ann Heng:
MetaRF: attention-based random forest for reaction yield prediction with a few trails. J. Cheminformatics 15(1): 43 (2023) - [j11]Odin Zhang, Jintu Zhang, Jieyu Jin, Xujun Zhang, Renling Hu, Chao Shen, Hanqun Cao, Hongyan Du, Yu Kang, Yafeng Deng, Furui Liu, Guangyong Chen, Chang-Yu Hsieh, Tingjun Hou:
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling. Nat. Mac. Intell. 5(9): 1020-1030 (2023) - [j10]Xujun Zhang, Odin Zhang, Chao Shen, Wanglin Qu, Shicheng Chen, Hanqun Cao, Yu Kang, Zhe Wang, Ercheng Wang, Jintu Zhang, Yafeng Deng, Furui Liu, Tianyue Wang, Hongyan Du, Langcheng Wang, Peichen Pan, Guangyong Chen, Chang-Yu Hsieh, Tingjun Hou:
Efficient and accurate large library ligand docking with KarmaDock. Nat. Comput. Sci. 3(9): 789-804 (2023) - [j9]Odin Zhang, Tianyue Wang, Gaoqi Weng, Dejun Jiang, Ning Wang, Xiaorui Wang, Huifeng Zhao, Jialu Wu, Ercheng Wang, Guangyong Chen, Yafeng Deng, Peichen Pan, Yu Kang, Chang-Yu Hsieh, Tingjun Hou:
Learning on topological surface and geometric structure for 3D molecular generation. Nat. Comput. Sci. 3(10): 849-859 (2023) - [j8]Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. IEEE Trans. Image Process. 32: 235-250 (2023) - [c33]Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction. CVPR 2023: 3312-3322 - [c32]Menghao Guo, Fan Wu, Jinling Jiang, Xiaoran Yan, Guangyong Chen, Wenhui Li, Yunhong Zhao, Zeyi Sun:
Investigations on Scientific Literature Meta Information Extraction Using Large Language Models. ICKG 2023: 249-254 - [c31]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV 2023: 8317-8328 - [c30]Zhiyong You, Guangyong Chen:
Research on Cyber Security Situation Awareness System Based on Knowledge Graph. ICISE 2023: 577-583 - [c29]Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng:
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. ICML 2023: 7596-7616 - [c28]Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. MICCAI (6) 2023: 306-316 - [c27]Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. MICCAI (5) 2023: 579-589 - [c26]Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) 2023: 400-413 - [i38]Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng:
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. CoRR abs/2303.02045 (2023) - [i37]Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. CoRR abs/2303.02875 (2023) - [i36]Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
PointPatchMix: Point Cloud Mixing with Patch Scoring. CoRR abs/2303.06678 (2023) - [i35]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR abs/2303.06697 (2023) - [i34]Yang Yu, Danruo Deng, Furui Liu, Yueming Jin, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning. CoRR abs/2303.12091 (2023) - [i33]Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Bian Wu, Guangyong Chen, Pheng-Ann Heng:
DPPMask: Masked Image Modeling with Determinantal Point Processes. CoRR abs/2303.12736 (2023) - [i32]Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen:
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. CoRR abs/2308.12017 (2023) - [i31]Kexin Chen, Junyou Li, Kunyi Wang, Yuyang Du, Jiahui Yu, Jiamin Lu, Lanqing Li, Jiezhong Qiu, Qun Fang, Pheng-Ann Heng, Guangyong Chen:
Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis. CoRR abs/2311.10776 (2023) - 2022
- [j7]Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
A Rotation-Invariant Framework for Deep Point Cloud Analysis. IEEE Trans. Vis. Comput. Graph. 28(12): 4503-4514 (2022) - [c25]Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng:
LHNN: lattice hypergraph neural network for VLSI congestion prediction. DAC 2022: 1297-1302 - [c24]Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. ECCV (24) 2022: 423-440 - [c23]Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu:
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. EMNLP 2022: 6585-6597 - [c22]Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. ICCAD 2022: 57:1-57:9 - [c21]Yang Yu, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng:
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. IROS 2022: 10857-10864 - [c20]Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng:
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. MICCAI (3) 2022: 217-226 - [c19]Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Kai Hwang:
Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation. NAACL-HLT (Findings) 2022: 2679-2690 - [c18]Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng:
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS 2022 - [c17]Zhuo Zhang, Junhao Gan, Zhifeng Bao, Seyed Mohammad Hussein Kazemi, Guangyong Chen, Fengyuan Zhu:
Approximate Range Thresholding. SIGMOD Conference 2022: 1108-1121 - [i30]Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng:
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction. CoRR abs/2203.12831 (2022) - [i29]Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. CoRR abs/2203.16219 (2022) - [i28]Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Kai Hwang:
Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation. CoRR abs/2204.05953 (2022) - [i27]Yang Yu, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng:
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. CoRR abs/2207.09664 (2022) - [i26]Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Pheng-Ann Heng:
MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails. CoRR abs/2208.10083 (2022) - [i25]Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Model. CoRR abs/2209.02646 (2022) - [i24]Chen Liang, Bowen Wang, Shaogang Hao, Guangyong Chen, Pheng-Ann Heng, Xiaolong Zou:
Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction. CoRR abs/2209.07300 (2022) - [i23]Zhongwei Wan, Benyou Wang, Xin Liu, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang:
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation. CoRR abs/2209.11461 (2022) - [i22]Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu:
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. CoRR abs/2212.03613 (2022) - [i21]Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction. CoRR abs/2212.10066 (2022) - 2021
- [j6]Zhenxing Wu, Dejun Jiang, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Dong-Sheng Cao, Tingjun Hou:
Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method. Briefings Bioinform. 22(5) (2021) - [j5]Dejun Jiang, Zhenxing Wu, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dong-Sheng Cao, Jian Wu, Tingjun Hou:
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models. J. Cheminformatics 13(1): 12 (2021) - [c16]Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao:
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI 2021: 9834-9842 - [c15]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. AAAI 2021: 11442-11450 - [c14]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. AAAI 2021: 11451-11461 - [c13]Pengfei Chen, Guangyong Chen, Junjie Ye, Jingwei Zhao, Pheng-Ann Heng:
Noise against noise: stochastic label noise helps combat inherent label noise. ICLR 2021 - [c12]Guibao Shen, Yingkui Zhang, Jialu Li, Mingqiang Wei, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
Learning Regularizer for Monocular Depth Estimation with Adversarial Guidance. ACM Multimedia 2021: 5222-5230 - [c11]Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng:
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. NeurIPS 2021: 18710-18721 - [i20]Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng:
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR abs/2103.02225 (2021) - [i19]Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng:
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. CoRR abs/2106.13386 (2021) - [i18]Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng:
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. CoRR abs/2110.04593 (2021) - 2020
- [c10]Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen:
PMD: An Optimal Transportation-Based User Distance for Recommender Systems. ECIR (2) 2020: 272-280 - [c9]Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei:
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML 2020: 10706-10715 - [c8]Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng:
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. PAKDD (1) 2020: 155-167 - [i17]Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang:
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR abs/2002.03939 (2020) - [i16]Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei:
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR abs/2002.03950 (2020) - [i15]Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
A Rotation-Invariant Framework for Deep Point Cloud Analysis. CoRR abs/2003.07238 (2020) - [i14]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. CoRR abs/2012.04193 (2020) - [i13]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. CoRR abs/2012.05458 (2020)
2010 – 2019
- 2019
- [c7]Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang:
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. ICML 2019: 1062-1070 - [i12]Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang:
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. CoRR abs/1905.05040 (2019) - [i11]Guangyong Chen, Pengfei Chen, Yujun Shi, Chang-Yu Hsieh, Benben Liao, Shengyu Zhang:
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. CoRR abs/1905.05928 (2019) - [i10]Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang:
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR abs/1905.11100 (2019) - [i9]Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng:
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. CoRR abs/1906.02494 (2019) - [i8]Pengfei Chen, Weiwen Liu, Chang-Yu Hsieh, Guangyong Chen, Shengyu Zhang:
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization. CoRR abs/1906.05488 (2019) - [i7]Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang:
A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR. CoRR abs/1906.05509 (2019) - [i6]Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard S. Zemel, Shengyu Zhang:
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. CoRR abs/1906.09427 (2019) - [i5]Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen:
Spectral-based Graph Convolutional Network for Directed Graphs. CoRR abs/1907.08990 (2019) - [i4]Yitong Meng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen:
PMD: A New User Distance for Recommender Systems. CoRR abs/1909.04239 (2019) - [i3]Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu:
Wasserstein Collaborative Filtering for Item Cold-start Recommendation. CoRR abs/1909.04266 (2019) - 2018
- [j4]Xueying Shi, Guangyong Chen, Pheng-Ann Heng, Zhang Yi:
Tracking topology structure adaptively with deep neural networks. Neural Comput. Appl. 30(11): 3317-3326 (2018) - [j3]Jianye Hao, Jun Sun, Guangyong Chen, Zan Wang, Chao Yu, Zhong Ming:
Efficient and Robust Emergence of Norms through Heuristic Collective Learning. ACM Trans. Auton. Adapt. Syst. 12(4): 23:1-23:20 (2018) - [j2]Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng:
Large-Scale Bayesian Probabilistic Matrix Factorization with Memo-Free Distributed Variational Inference. ACM Trans. Knowl. Discov. Data 12(3): 31:1-31:24 (2018) - [c6]Yitong Meng, Guangyong Chen, Jiajin Li, Shengyu Zhang:
Psrec: social recommendation with pseudo ratings. RecSys 2018: 397-401 - 2017
- [j1]Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Blind Image Denoising via Dependent Dirichlet Process Tree. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1518-1531 (2017) - [c5]Di Lin, Guangyong Chen, Daniel Cohen-Or, Pheng-Ann Heng, Hui Huang:
Cascaded Feature Network for Semantic Segmentation of RGB-D Images. ICCV 2017: 1320-1328 - [c4]Guangyong Chen, Shengyu Zhang, Di Lin, Hui Huang, Pheng-Ann Heng:
Learning to Aggregate Ordinal Labels by Maximizing Separating Width. ICML 2017: 787-796 - 2016
- [c3]Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng:
From Noise Modeling to Blind Image Denoising. CVPR 2016: 420-429 - [c2]Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng:
A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction. ICDM 2016: 729-738 - [i2]Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Blind Image Denoising via Dependent Dirichlet Process Tree. CoRR abs/1601.03117 (2016) - [i1]Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng:
Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization. CoRR abs/1601.03124 (2016) - 2015
- [c1]Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng:
An Efficient Statistical Method for Image Noise Level Estimation. ICCV 2015: 477-485
Coauthor Index
[j14] [c39] [c38] [c37] [c36] [c35] [c34] [i45] [i44] [i43] [i41] [i40] [i39] [j12] [j8] [c33] [c31] [c29] [c28] [c27] [c26] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [j7] [c25] [c24] [c22] [c21] [c20] [c18] [i30] [i29] [i27] [i26] [i25] [i24] [i21] [c15] [c14] [c13] [c12] [c11] [i19] [i18] [c8] [i15] [i14] [i13] [j4] [j2] [j1] [c5] [c4] [c3] [c2] [i2] [i1] [c1]
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last updated on 2024-10-24 21:29 CEST by the dblp team
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