Guangyong Chen

130 papers A* 27A 8Journal 79Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Unifying Multi-View Knowledge for Graph Learning via Model Collaboration. AAAI Zhihao Wu, Jielong Lu, Zihan Fang, Jinyu Cai, Guangyong Chen, Jiajun Bu, Haishuai Wang
2026	J	`jnl`	WRSI: Wavelet scale reduction and spatiotemporal boundary interaction network for remote sensing change detection. Inf. Sci. Kaisheng Li, Shuo Wang, Zhaolong Gao, Guodong Fan, Guangyong Chen, Jinjiang Li
2025	J	`jnl`	A deep reinforcement learning platform for antibiotic discovery. CoRR Hanqun Cao, Marcelo Der Torossian Torres, Jingjie Zhang, Zijun Gao, Fang Wu, Chunbin Gu, Jure Leskovec, Yejin Choi, Cesar de la Fuente-Nunez, Guangyong Chen, Pheng-Ann Heng
2025	J	`jnl`	Boosting In-Silicon Directed Evolution with Fine-Tuned Protein Language Model and Tree Search. CoRR Yaodong Yang, Yang Wang, Jinpeng Li, Pei Guo, Da Han, Guangyong Chen, Pheng-Ann Heng
2025	—	`conf`	ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining. ICCVW Kexin Chen, Yuyang Du, Junyou Li, Hanqun Cao, Menghao Guo, Xilin Dang, Lanqing Li, Jiezhong Qiu, Guangyong Chen, Pheng-Ann Heng
2025	—	`conf`	Circuit Synthesis based on Hierarchical Conditional Diffusion. ACM Great Lakes Symposium on VLSI Xinyi Zhou, Xing Li, Yingzhao Lian, Yiwen Wang, Lei Chen, Mingxuan Yuan, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2025	A	`conf`	DiTAC: Discrete Teamwork Abstraction for Ad Hoc Collaboration. ECAI Jing Wang, Pengjie Gu, Mengchen Zhao, Guangyong Chen, Furui Liu, Pheng-Ann Heng
2025	J	`jnl`	DivPro: diverse protein sequence design with direct structure recovery guidance. Bioinform. Xinyi Zhou, Guibao Shen, Yingcong Chen, Guangyong Chen, Pheng-Ann Heng
2025	A	`conf`	Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. AAMAS Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng
2025	J	`jnl`	Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. CoRR Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng
2025	J	`jnl`	Excavate the potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement. CoRR Zheng Cheng, Wenri Wang, Guangyong Chen, Yakun Ju, Yihua Cheng, Zhisong Liu, Yanda Meng, Jintao Song
2025	J	`jnl`	Gated-GPS: enhancing protein-protein interaction site prediction with scalable learning and imbalance-aware optimization. Briefings Bioinform. Xin Gao, Hanqun Cao, Jinpeng Li, Jiezhong Qiu, Guangyong Chen, Pheng-Ann Heng
2025	J	`jnl`	InstructPLM-mu: 1-Hour Fine-Tuning of ESM2 Beats ESM3 in Protein Mutation Predictions. CoRR Junde Xu, Yapin Shi, Lijun Lang, Taoyong Cui, Zhiming Zhang, Guangyong Chen, Jiezhong Qiu, Pheng-Ann Heng
2025	J	`jnl`	LMT++: Adaptively Collaborating LLMs With Multi-Specialized Teachers for Continual VQA in Robotic Surgical Videos. IEEE Trans. Medical Imaging Yuyang Du, Kexin Chen, Yue Zhan, Chang Han Low, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng
2025	A*	`conf`	MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding. AAAI Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
2025	A*	`conf`	MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models. IJCAI Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen, Xiaowei Hu, Pheng-Ann Heng
2025	J	`jnl`	Multi-Scale Spatio-Temporal Transformer-Based Imbalanced Longitudinal Learning for Glaucoma Forecasting From Irregular Time Series Images. IEEE J. Biomed. Health Informatics Xikai Yang, Jian Wu, Xi Wang, Yuchen Yuan, Jinpeng Li, Guangyong Chen, Ning Li Wang, Pheng-Ann Heng
2025	—	`conf`	Orthogonal NMF on a Higher-Order Manifold: A Unified Framework for Clustering. PRCV (1) Yuan Chang, Fang Yuan, Guangyong Chen, Min Gan
2025	J	`jnl`	PAL: Boosting Skin Lesion Segmentation via Probabilistic Attribute Learning. IEEE Trans. Medical Imaging Yuchen Yuan, Xi Wang, Jinpeng Li, Guangyong Chen, Pheng-Ann Heng
2025	J	`jnl`	Pedestrian and vehicle detection in foggy weather using dehazeformer. Vis. Comput. Jiadan Gao, Lei Dai, Wei Zhang, Qingchun Hu, Guangyong Chen, Zhihua Chen
2025	J	`jnl`	Protein Inverse Folding From Structure Feedback. CoRR Junde Xu, Zijun Gao, Xinyi Zhou, Jie Hu, Xingyi Cheng, Le Song, Guangyong Chen, Pheng-Ann Heng, Jiezhong Qiu
2024	J	`jnl`	A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
2024	A*	`conf`	ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. AAAI Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng
2024	J	`jnl`	Algorithm Improvement for Mobile Event Detection with Intelligent Tunnel Robots. Big Data Cogn. Comput. Li Wan, Zhenjiang Li, Changan Zhang, Guangyong Chen, Panming Zhao, Kewei Wu
2024	J	`jnl`	An Autonomous Large Language Model Agent for Chemical Literature Data Mining. CoRR Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng-Ann Heng, Guangyong Chen
2024	J	`jnl`	Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency. Briefings Bioinform. Tianyue Wang, Langcheng Wang, Xujun Zhang, Chao Shen, Odin Zhang, Jike Wang, Jialu Wu, Ruofan Jin, Donghao Zhou, Shicheng Chen, Liwei Liu, Xiaorui Wang, Chang-Yu Hsieh, Guangyong Chen, Peichen Pan, Yu Kang, Tingjun Hou
2024	A	`conf`	DPPMask: Masked Image Modeling with Determinantal Point Processes. WACV Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen, Pheng-Ann Heng
2024	A*	`conf`	DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. AAAI Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng
2024	A	`conf`	Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. BMVC Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen
2024	J	`jnl`	Freeprotmap: waiting-free prediction method for protein distance map. BMC Bioinform. Jiajian Huang, Jinpeng Li, Qinchang Chen, Xia Wang, Guangyong Chen, Jin Tang
2024	A*	`conf`	LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. ICRA Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng
2024	J	`jnl`	LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. CoRR Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng
2024	J	`jnl`	MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models. CoRR Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen, Xiaowei Hu, Pheng-Ann Heng
2024	J	`jnl`	Point Cloud Understanding via Attention-Driven Contrastive Learning. CoRR Yi Wang, Jiaze Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
2024	A*	`conf`	PointPatchMix: Point Cloud Mixing with Patch Scoring. AAAI Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
2024	J	`jnl`	SFANet: Spatial-Frequency Attention Network for Weather Forecasting. CoRR Jiaze Wang, Hao Chen, Hongcan Xu, Jinpeng Li, Bowen Wang, Kun Shao, Furui Liu, Huaxi Chen, Guangyong Chen, Pheng-Ann Heng
2024	J	`jnl`	SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance. CoRR 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
2024	—	`conf`	SLMP: A Scientific Literature Management Platform Based on Large Language Models. ICKG Menghao Guo, Jinling Jiang, Fan Wu, Shanxin Sun, Chen Zhang, Wenhui Li, Zeyi Sun, Guangyong Chen, Xindong Wu
2024	A*	`conf`	Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. ICML Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng
2024	J	`jnl`	SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation. CoRR Xinyi Zhou, Xing Li, Yingzhao Lian, Yiwen Wang, Lei Chen, Mingxuan Yuan, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2024	A	`conf`	SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning. BMVC Hao Chen, Jiaze Wang, Ziyu Guo, Jinpeng Li, Donghao Zhou, Bian Wu, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
2024	J	`jnl`	SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning. CoRR Hao Chen, Jiaze Wang, Ziyu Guo, Jinpeng Li, Donghao Zhou, Bian Wu, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
2024	J	`jnl`	Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. ACM Trans. Inf. Syst. Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang
2024	—	`conf`	Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models. ECCV (47) Luozhou Wang, Guibao Shen, Wenhang Ge, Guangyong Chen, Yijun Li, Yingcong Chen
2024	J	`jnl`	TripletMix: Triplet Data Augmentation for 3D Understanding. CoRR Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
2024	J	`jnl`	Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries. CoRR Chunbin Gu, Mutian He, Hanqun Cao, Guangyong Chen, Chang-Yu Hsieh, Pheng-Ann Heng
2024	J	`jnl`	siRNADiscovery: a graph neural network for siRNA efficacy prediction via deep RNA sequence analysis. Briefings Bioinform. Rongzhuo Long, Ziyu Guo, Da Han, Boxiang Liu, Xudong Yuan, Guangyong Chen, Pheng-Ann Heng, Liang Zhang
2023	J	`jnl`	Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning. CoRR Yang Yu, Danruo Deng, Furui Liu, Yueming Jin, Qi Dou, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. IEEE Trans. Image Process. Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	DPPMask: Masked Image Modeling with Determinantal Point Processes. CoRR Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Bian Wu, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. CoRR Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng
2023	J	`jnl`	Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. CoRR Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen
2023	J	`jnl`	Efficient and accurate large library ligand docking with KarmaDock. Nat. Comput. Sci. 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
2023	—	`conf`	Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. MICCAI (5) Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng
2023	—	`conf`	Investigations on Scientific Literature Meta Information Extraction Using Large Language Models. ICKG Menghao Guo, Fan Wu, Jinling Jiang, Xiaoran Yan, Guangyong Chen, Wenhui Li, Yunhong Zhao, Zeyi Sun
2023	—	`conf`	Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. MICCAI (6) Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	Learning on topological surface and geometric structure for 3D molecular generation. Nat. Comput. Sci. 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
2023	J	`jnl`	MetaRF: attention-based random forest for reaction yield prediction with a few trails. J. Cheminformatics Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Ercheng Wang, Tingjun Hou, Pheng-Ann Heng
2023	J	`jnl`	PointPatchMix: Point Cloud Mixing with Patch Scoring. CoRR Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
2023	—	`conf`	RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2023	A*	`conf`	RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction. CVPR Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling. Nat. Mac. Intell. 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
2023	—	`conf`	Research on Cyber Security Situation Awareness System Based on Knowledge Graph. ICISE Zhiyong You, Guangyong Chen
2023	J	`jnl`	Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis. CoRR Kexin Chen, Junyou Li, Kunyi Wang, Yuyang Du, Jiahui Yu, Jiamin Lu, Lanqing Li, Jiezhong Qiu, Qun Fang, Pheng-Ann Heng, Guangyong Chen
2023	A*	`conf`	Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
2023	A*	`conf`	Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. ICML Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng
2023	J	`jnl`	Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. CoRR Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng
2022	J	`jnl`	A Rotation-Invariant Framework for Deep Point Cloud Analysis. IEEE Trans. Vis. Comput. Graph. Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
2022	J	`jnl`	A Survey on Generative Diffusion Model. CoRR Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
2022	—	`conf`	Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. ECCV (24) Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
2022	J	`jnl`	Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. CoRR Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
2022	—	`conf`	Approximate Range Thresholding. SIGMOD Conference Zhuo Zhang, Junhao Gan, Zhifeng Bao, Seyed Mohammad Hussein Kazemi, Guangyong Chen, Fengyuan Zhu
2022	—	`conf`	Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation. NAACL-HLT (Findings) Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Kai Hwang
2022	J	`jnl`	Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation. CoRR Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Kai Hwang
2022	—	`conf`	Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. MICCAI (3) Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng
2022	A*	`conf`	G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. EMNLP Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu
2022	J	`jnl`	G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. CoRR Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu
2022	A	`conf`	Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. ICCAD Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2022	J	`jnl`	LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction. CoRR Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
2022	A*	`conf`	LHNN: lattice hypergraph neural network for VLSI congestion prediction. DAC Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
2022	J	`jnl`	MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails. CoRR Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Pheng-Ann Heng
2022	J	`jnl`	Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction. CoRR Chen Liang, Bowen Wang, Shaogang Hao, Guangyong Chen, Pheng-Ann Heng, Xiaolong Zou
2022	A	`conf`	Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. IROS Yang Yu, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng
2022	J	`jnl`	Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. CoRR Yang Yu, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng
2022	J	`jnl`	RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction. CoRR Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
2022	J	`jnl`	Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation. CoRR Zhongwei Wan, Benyou Wang, Xin Liu, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang
2022	A*	`conf`	Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng
2021	J	`jnl`	Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. CoRR Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
2021	A*	`conf`	Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. AAAI Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
2021	J	`jnl`	Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models. J. Cheminformatics Dejun Jiang, Zhenxing Wu, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dong-Sheng Cao, Jian Wu, Tingjun Hou
2021	A*	`conf`	Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. NeurIPS Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng
2021	J	`jnl`	Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. CoRR Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng
2021	A*	`conf`	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
2021	J	`jnl`	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
2021	J	`jnl`	Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method. Briefings Bioinform. Zhenxing Wu, Dejun Jiang, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Dong-Sheng Cao, Tingjun Hou
2021	A*	`conf`	Learning Regularizer for Monocular Depth Estimation with Adversarial Guidance. ACM Multimedia Guibao Shen, Yingkui Zhang, Jialu Li, Mingqiang Wei, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
2021	A*	`conf`	Noise against noise: stochastic label noise helps combat inherent label noise. ICLR Pengfei Chen, Guangyong Chen, Junjie Ye, Jingwei Zhao, Pheng-Ann Heng
2021	A*	`conf`	Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. AAAI Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
2020	J	`jnl`	A Rotation-Invariant Framework for Deep Point Cloud Analysis. CoRR Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
2020	—	`conf`	Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. PAKDD (1) Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
2020	J	`jnl`	Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. CoRR Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
2020	—	`conf`	PMD: An Optimal Transportation-Based User Distance for Recommender Systems. ECIR (2) Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen
2020	A*	`conf`	Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
2020	J	`jnl`	Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
2020	J	`jnl`	Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang
2020	J	`jnl`	Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. CoRR Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
2019	J	`jnl`	A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR. CoRR Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang
2019	J	`jnl`	Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. CoRR 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
2019	J	`jnl`	Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang
2019	J	`jnl`	PMD: A New User Distance for Recommender Systems. CoRR Yitong Meng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen
2019	J	`jnl`	Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. CoRR Guangyong Chen, Pengfei Chen, Yujun Shi, Chang-Yu Hsieh, Benben Liao, Shengyu Zhang
2019	J	`jnl`	Spectral-based Graph Convolutional Network for Directed Graphs. CoRR Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen
2019	J	`jnl`	Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. CoRR Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng
2019	A*	`conf`	Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. ICML Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang
2019	J	`jnl`	Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. CoRR Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang
2019	J	`jnl`	Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization. CoRR Pengfei Chen, Weiwen Liu, Chang-Yu Hsieh, Guangyong Chen, Shengyu Zhang
2019	J	`jnl`	Wasserstein Collaborative Filtering for Item Cold-start Recommendation. CoRR Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu
2018	J	`jnl`	Efficient and Robust Emergence of Norms through Heuristic Collective Learning. ACM Trans. Auton. Adapt. Syst. Jianye Hao, Jun Sun, Guangyong Chen, Zan Wang, Chao Yu, Zhong Ming
2018	J	`jnl`	Large-Scale Bayesian Probabilistic Matrix Factorization with Memo-Free Distributed Variational Inference. ACM Trans. Knowl. Discov. Data Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng
2018	A	`conf`	Psrec: social recommendation with pseudo ratings. RecSys Yitong Meng, Guangyong Chen, Jiajin Li, Shengyu Zhang
2018	J	`jnl`	Tracking topology structure adaptively with deep neural networks. Neural Comput. Appl. Xueying Shi, Guangyong Chen, Pheng-Ann Heng, Zhang Yi
2017	J	`jnl`	Blind Image Denoising via Dependent Dirichlet Process Tree. IEEE Trans. Pattern Anal. Mach. Intell. Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng
2017	A*	`conf`	Cascaded Feature Network for Semantic Segmentation of RGB-D Images. ICCV Di Lin, Guangyong Chen, Daniel Cohen-Or, Pheng-Ann Heng, Hui Huang
2017	A*	`conf`	Learning to Aggregate Ordinal Labels by Maximizing Separating Width. ICML Guangyong Chen, Shengyu Zhang, Di Lin, Hui Huang, Pheng-Ann Heng
2016	A*	`conf`	A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction. ICDM Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng
2016	J	`jnl`	Blind Image Denoising via Dependent Dirichlet Process Tree. CoRR Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng
2016	A*	`conf`	From Noise Modeling to Blind Image Denoising. CVPR Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng
2016	J	`jnl`	Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization. CoRR Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng
2015	A*	`conf`	An Efficient Statistical Method for Image Noise Level Estimation. ICCV Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng