Pheng-Ann Heng

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 481

Top Venues

CoRR

IEEE Trans. Medical Imaging

Medical Image Anal.

AAAI

Publications

Dunyuan Xu, Xi Wang, Jingyang Zhang, Pheng-Ann Heng
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation. CoRR (2024)
Runsong Zhu, Di Kang, Ka-Hei Hui, Yue Qian, Shi Qiu, Zhen Dong, Linchao Bao, Pheng-Ann Heng, Chi-Wing Fu
SSP: Semi-signed prioritized neural fitting for surface reconstruction from unoriented point clouds. WACV (2024)
Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen
Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images. IEEE Trans. Medical Imaging 43 (5) (2024)
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 (2024)
Xikai Yang, Jian Wu, Xi Wang, Yuchen Yuan, Ningli Wang, Pheng-Ann Heng
Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images. CoRR (2024)
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)
Caizi Li, Yaoqian Li, Ruiqiang Liu, Guangsuo Wang, Jianping Lv, Yueming Jin, Weixin Si, Pheng-Ann Heng
Structural and Pixel Relation Modeling for Semisupervised Instrument Segmentation From Surgical Videos. IEEE Trans. Instrum. Meas. 73 (2024)
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 (2024)
Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification. AAAI (2024)
Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. CoRR (2024)
Haiqiao Wang, Hong Wu, Zhuoyuan Wang, Peiyan Yue, Dong Ni, Pheng-Ann Heng, Yi Wang
A Review of Image Processing Methods in Prostate Ultrasound. CoRR (2024)
Yinqiao Wang, Hao Xu, Pheng-Ann Heng, Chi-Wing Fu
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation. CoRR (2024)
Jialun Pei, Diandian Guo, Jingyang Zhang, Manxi Lin, Yueming Jin, Pheng-Ann Heng
S^2Former-OR: Single-Stage Bimodal Transformer for Scene Graph Generation in OR. CoRR (2024)
Shaoning Li, Mingyu Li, Yusong Wang, Xinheng He, Nanning Zheng, Jian Zhang, Pheng-Ann Heng
Improving AlphaFlow for Efficient Protein Ensembles Generation. CoRR (2024)
Shoujin Huang, Guanxiong Luo, Xi Wang, Ziran Chen, Yuwan Wang, Huaishui Yang, Pheng-Ann Heng, Lingyan Zhang, Mengye Lyu
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI. CoRR (2024)
Jia-Hui Pan, Xiaojie Gao, Ka-Hei Hui, Shize Zhu, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu
PPN-Pack: Placement Proposal Network for Efficient Robotic Bin Packing. IEEE Robotics Autom. Lett. 9 (6) (2024)
Wei Li, Jingyang Zhang, Pheng-Ann Heng, Lixu Gu
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting. CoRR (2024)
Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. CoRR (2024)
Dunyuan Xu, Xi Wang, Jinyue Cai, Pheng-Ann Heng
Cross-modality Guidance-aided Multi-modal Learning with Dual Attention for MRI Brain Tumor Grading. CoRR (2024)
Kang Li, Yu Zhu, Lequan Yu, Pheng-Ann Heng
A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation. IEEE Trans. Medical Imaging 43 (6) (2024)
Yuhan Zhang, Xiao Ma, Kun Huang, Mingchao Li, Pheng-Ann Heng
Semantic-Oriented Visual Prompt Learning for Diabetic Retinopathy Grading on Fundus Images. IEEE Trans. Medical Imaging 43 (8) (2024)
Yang Tian, Hualong Bai, Shengdong Zhao, Chi-Wing Fu, Chun Yu, Haozhao Qin, Qiong Wang, Pheng-Ann Heng
Kine-Appendage: Enhancing Freehand VR Interaction Through Transformations of Virtual Appendages. IEEE Trans. Vis. Comput. Graph. 30 (7) (2024)
Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
PointPatchMix: Point Cloud Mixing with Patch Scoring. AAAI (2024)
Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration. CoRR (2024)
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 (2024)
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 (2024)
Hai Zhang, Boyuan Zheng, Anqi Guo, Tianying Ji, Pheng-Ann Heng, Junqiao Zhao, Lanqing Li
Scrutinize What We Ignore: Reining Task Representation Shift In Context-Based Offline Meta Reinforcement Learning. CoRR (2024)
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 (2024)
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) (2024)
Diandian Guo, Manxi Lin, Jialun Pei, He Tang, Yueming Jin, Pheng-Ann Heng
Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms. CoRR (2024)
Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Junqiao Zhao, Pheng-Ann Heng
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning. CoRR (2024)
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)
Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam
Unveiling the Generalization Power of Fine-Tuned Large Language Models. CoRR (2024)
Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam
Unveiling the Generalization Power of Fine-Tuned Large Language Models. NAACL-HLT (2024)
Yinqiao Wang, Hao Xu, Pheng-Ann Heng, Chi-Wing Fu
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation. AAAI (2024)
Yuan Zhong, Chenhui Tang, Yumeng Yang, Ruoxi Qi, Kang Zhou, Yuqi Gong, Pheng-Ann Heng, Janet H. Hsiao, Qi Dou
Weakly-supervised Medical Image Segmentation with Gaze Annotations. CoRR (2024)
Rui Cao, Biqi Yang, Yichuan Li, Chi-Wing Fu, Pheng-Ann Heng, Yun-Hui Liu
Uncertainty-Aware Suction Grasping for Cluttered Scenes. IEEE Robotics Autom. Lett. 9 (6) (2024)
Jialun Pei, Ruize Cui, Yaoqian Li, Weixin Si, Jing Qin, Pheng-Ann Heng
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection. CoRR (2024)
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)
Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification. CoRR (2024)
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)
Jialun Pei, Tao Jiang, He Tang, Nian Liu, Yueming Jin, Deng-Ping Fan, Pheng-Ann Heng
CalibNet: Dual-Branch Cross-Modal Calibration for RGB-D Salient Instance Segmentation. IEEE Trans. Image Process. 33 (2024)
Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. ICCV (2023)
Jialun Pei, Zhangjun Zhou, Yueming Jin, He Tang, Pheng-Ann Heng
Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation. ACM Multimedia (2023)
Yuhan Zhang, Ziqi Tang, Dawei Yang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng
LVCL: Label-Volume Contrastive Learning for Multi-Label Classification of Retinal Oct Volumes. ISBI (2023)
Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. CoRR (2023)
Yuhan Zhang, Luyang Luo, Qi Dou, Pheng-Ann Heng
Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification. Medical Image Anal. 86 (2023)
Biqi Yang, Weiliang Tang, Xiaojie Gao, Xianzhi Li, Yun-Hui Liu, Chi-Wing Fu, Pheng-Ann Heng
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store. CoRR (2023)
Jialun Pei, Tao Jiang, He Tang, Nian Liu, Yueming Jin, Deng-Ping Fan, Pheng-Ann Heng
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation. CoRR (2023)
Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images. CoRR (2023)
Kang Li, Lequan Yu, Pheng-Ann Heng
Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening. IEEE Trans. Medical Imaging 42 (3) (2023)
Jialun Pei, Zhangjun Zhou, Yueming Jin, He Tang, Pheng-Ann Heng
Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation. CoRR (2023)
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 (2023)
Yuhan Zhang, Kun Huang, Cheng Chen, Qiang Chen, Pheng-Ann Heng
SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation. MICCAI (2) (2023)
Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzhi Li, Pheng-Ann Heng
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. IJCAI (2023)
Yanwen Li, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images. CoRR (2023)
Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation. CoRR (2023)
Caizi Li, Rui-Qiang Liu, Huan-Xin Zhong, Jun-Ming Fan, Wei-Xin Si, Meng Zhang, Pheng-Ann Heng
Semi-Supervised Intracranial Aneurysm Segmentation from CTA Images via Weight-Perceptual Self-Ensembling Model. J. Comput. Sci. Technol. 38 (3) (2023)
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)
Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR (2023)
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 (2023)
Xi Wang, Fangyao Tang, Hao Chen, Carol Y. Cheung, Pheng-Ann Heng
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images. Medical Image Anal. 83 (2023)
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)
Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition. CVPR (2023)
Martin Wagner, Beat P. Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Carissa Reid, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtac, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Long Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Annette Kopp-Schneider, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Anal. 86 (2023)
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)
Jia-Hui Pan, Ka-Hei Hui, Xiaojie Gao, Shize Zhu, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu
SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization. CoRR (2023)
Ziyu Guo, Xianzhi Li, Pheng-Ann Heng
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. CoRR (2023)
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 (2023)
Kexin Chen, Junyou Li, Kunyi Wang, Yuyang Du, Jiahui Yu, Jiamin Lu, Guangyong Chen, Lanqing Li, Jiezhong Qiu, Qun Fang, Pheng-Ann Heng
Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis. CoRR (2023)
Shan Xu, Huaidong Zhang, Xuemiao Xu, Xiaowei Hu, Yangyang Xu, Liangui Dai, Kup-Sze Choi, Pheng-Ann Heng
Representative Feature Alignment for Adaptive Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33 (2) (2023)
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)
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 (2023)
Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
PointPatchMix: Point Cloud Mixing with Patch Scoring. CoRR (2023)
Biqi Yang, Xiaojie Gao, Xianzhi Li, Yun-Hui Liu, Chi-Wing Fu, Pheng-Ann Heng
On Improving Boundary Quality of Instance Segmentation in Cluttered and Chaotic Scenarios. ICRA (2023)
Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, Pheng-Ann Heng
Deep Texture-Aware Features for Camouflaged Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33 (3) (2023)
Tianyu Wang, Xiaowei Hu, Pheng-Ann Heng, Chi-Wing Fu
Instance Shadow Detection With a Single-Stage Detector. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
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 (2023)
Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior. CVPR (2023)
Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li
A Survey of Reasoning with Foundation Models. CoRR (2023)
Ziyu Guo, Renrui Zhang, Xiangyang Zhu, Yiwen Tang, Xianzheng Ma, Jiaming Han, Kexin Chen, Peng Gao, Xianzhi Li, Hongsheng Li, Pheng-Ann Heng
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following. CoRR (2023)
Weiliang Tang, Biqi Yang, Xianzhi Li, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu
Prototypical Variational Autoencoder for 3D Few-shot Object Detection. NeurIPS (2023)
Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang
On the Pitfall of Mixup for Uncertainty Calibration. CVPR (2023)
Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. ICML (2023)
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 (2023)
Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng
Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19. IEEE Trans. Cybern. 53 (10) (2023)
Mian Wu, Yinling Qian, Xiangyun Liao, Qiong Wang, Pheng-Ann Heng
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention. BMC Medical Imaging 23 (1) (2023)
Jia-Hui Pan, Ka-Hei Hui, Xiaojie Gao, Shize Zhu, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu
SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization. IROS (2023)
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) (2023)
Yuchen Yuan, Xi Wang, Xikai Yang, Ruijiang Li, Pheng-Ann Heng
Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation. MICCAI (4) (2023)
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)
Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior. CoRR (2023)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary. CoRR (2022)
Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. CoRR (2022)
Xianzhi Li, Rui Cao, Yidan Feng, Kai Chen, Biqi Yang, Chi-Wing Fu, Yichuan Li, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng
A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking. IEEE Robotics Autom. Lett. 7 (2) (2022)
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 (2022)
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 (2022)
Ziyi Wang, Bo Lu, Xiaojie Gao, Yueming Jin, Zerui Wang, Tak Hong Cheung, Pheng-Ann Heng, Qi Dou, Yunhui Liu
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery. Medical Image Anal. 75 (2022)
Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training. CoRR (2022)

Pheng-Ann Heng.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Pheng-Ann Heng