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ORCIDPheng-Ann Heng
PhengAnn Heng
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- affiliation: Chinese University of Hong Kong, Hong Kong
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2020 – today
- 2023
[j240]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): 91 (2023)- [j239]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) - [j238]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): 674-685 (2023) - [j237]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: 102673 (2023) - [j236]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: 102680 (2023) - [j235]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 Kirtaç, 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: 102770 (2023) - [j234]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: 102772 (2023) - [j233]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): 3259-3273 (2023) - [j232]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): 689-700 (2023) - [j231]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): 1157-1167 (2023) - [j230]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): 6363-6375 (2023) - [j229]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) - [j228]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): 570-581 (2023) - [c257]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 - [c256]Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong:
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition. CVPR 2023: 3499-3509 - [c255]Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang:
On the Pitfall of Mixup for Uncertainty Calibration. CVPR 2023: 7609-7618 - [c254]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: 18053-18062 - [c253]Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng:
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. ICML 2023: 7596-7616 - [c252]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: 9310-9316 - [c251]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: 791-799 - [c250]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: 1-5 - [c249]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: 148-158 - [c248]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 - [c247]Yuchen Yuan, Xi Wang, Xikai Yang, Ruijiang Li, Pheng-Ann Heng:
Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation. MICCAI (4) 2023: 459-469 - [c246]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 - [c245]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: 2139-2147 - [c244]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 - [i154]Ziyu Guo, Xianzhi Li, Pheng-Ann Heng:
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. CoRR abs/2302.14007 (2023) - [i153]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) - [i152]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) - [i151]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) - [i150]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) - [i149]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 abs/2303.09757 (2023) - [i148]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) - [i147]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) - [i146]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 abs/2305.19063 (2023) - [i145]Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images. CoRR abs/2306.13301 (2023) - [i144]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 abs/2306.13465 (2023) - [i143]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 abs/2307.07356 (2023) - [i142]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 abs/2307.08098 (2023) - [i141]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 abs/2307.14052 (2023) - [i140]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) - [i139]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 abs/2309.00615 (2023) - [i138]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 abs/2309.08842 (2023) - [i137]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 abs/2311.04645 (2023) - [i136]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
- [j227]Yueming Jin, Yonghao Long, Xiaojie Gao, Danail Stoyanov, Qi Dou, Pheng-Ann Heng:
Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis. Int. J. Comput. Assist. Radiol. Surg. 17(12): 2193-2202 (2022) - [j226]Linxia Xiao, Caizi Li, Yanjiang Wang, Weixin Si, Hai Lin, Doudou Zhang, Xiaodong Cai, Pheng-Ann Heng:
Amplitude-frequency-aware deep fusion network for optimal contact selection on STN-DBS electrodes. Sci. China Inf. Sci. 65(4) (2022) - [j225]Sirui He, Yinling Qian, Xin Zhu, Xiangyun Liao, Pheng-Ann Heng, Ziliang Feng, Qiong Wang:
Versatile cutting fracture evolution modeling for deformable object cutting simulation. Comput. Methods Programs Biomed. 219: 106749 (2022) - [j224]Jiacheng Wang, Yueming Jin, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang:
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network. Medical Image Anal. 75: 102291 (2022) - [j223]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: 102296 (2022) - [j222]Kang Li, Lequan Yu, Pheng-Ann Heng:
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references. Medical Image Anal. 78: 102426 (2022) - [j221]Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022) - [j220]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): 3961-3968 (2022) - [j219]Bo Lu, Bin Li, Wei Chen, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng, Yunhui Liu:
Toward Image-Guided Automated Suture Grasping Under Complex Environments: A Learning-Enabled and Optimization-Based Holistic Framework. IEEE Trans Autom. Sci. Eng. 19(4): 3794-3808 (2022) - [j218]Cheng Chen, Qi Dou, Yueming Jin, Quande Liu, Pheng-Ann Heng:
Learning With Privileged Multimodal Knowledge for Unimodal Segmentation. IEEE Trans. Medical Imaging 41(3): 621-632 (2022) - [j217]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. IEEE Trans. Medical Imaging 41(6): 1371-1382 (2022) - [j216]Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov:
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation. IEEE Trans. Medical Imaging 41(11): 2991-3002 (2022) - [j215]Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou:
DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. IEEE Trans. Medical Imaging 41(12): 3575-3586 (2022) - [j214]Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng:
Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4785-4799 (2022) - [j213]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) - [j212]Xin Zhu, Yinling Qian, Qiong Wang, Ziliang Feng, Pheng-Ann Heng:
Collision-aware interactive simulation using graph neural networks. Vis. Comput. Ind. Biomed. Art 5(1): 15 (2022) - [c243]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. AAAI 2022: 1756-1764 - [c242]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 - [c241]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 - [c240]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 - [c239]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. ICRA 2022: 405-411 - [c238]Bin Li, Ruofeng Wei, Jiaqi Xu, Bo Lu, Chi Hang Yee, Chi-Fai Ng, Pheng-Ann Heng, Qi Dou, Yun-Hui Liu:
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery. ICRA 2022: 7664-7670 - [c237]Zixu Zhao, Yueming Jin, Pheng-Ann Heng:
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery. ICRA 2022: 11186-11193 - [c236]Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng:
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. IJCAI 2022: 1088-1094 - [c235]Biqi Yang, Xiaojie Gao, Kai Chen, Rui Cao, Yidan Feng, Xianzhi Li, Qi Dou, Chi-Wing Fu, Yun-Hui Liu, Pheng-Ann Heng:
SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking. IROS 2022: 5987-5994 - [c234]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 - [c233]Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng:
Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. ISBI 2022: 1-5 - [c232]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. MICCAI (3) 2022: 196-206 - [c231]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 - [c230]Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen:
ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans. MICCAI (3) 2022: 238-248 - [c229]Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng:
Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification. MICCAI (8) 2022: 621-631 - [c228]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 - [c227]Jixiu Li, Yisen Huang, Wing Yin Ng, Truman Cheng, Xixin Wu, Qi Dou, Helen Meng, Pheng-Ann Heng, Yunhui Liu, Shannon Melissa Chan, David Navarro-Alarcon, Calvin Sze Hang Ng, Philip Wai Yan Chiu, Zheng Li:
Speech-Vision Based Multi-Modal AI Control of a Magnetic Anchored and Actuated Endoscope. ROBIO 2022: 403-408 - [i135]Zixu Zhao, Yueming Jin, Pheng-Ann Heng:
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery. CoRR abs/2202.08453 (2022) - [i134]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 abs/2203.02767 (2022) - [i133]Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng:
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification. CoRR abs/2203.09860 (2022) - [i132]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) - [i131]Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov:
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation. CoRR abs/2203.15251 (2022) - [i130]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) - [i129]Bin Li, Ruofeng Wei, Jiaqi Xu, Bo Lu, Chi Hang Yee, Chi-Fai Ng, Pheng-Ann Heng, Qi Dou, Yun-Hui Liu:
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery. CoRR abs/2204.03195 (2022) - [i128]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 abs/2205.04723 (2022) - [i127]Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou:
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images. CoRR abs/2205.13723 (2022) - [i126]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. CoRR abs/2206.13079 (2022) - [i125]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary. CoRR abs/2206.14467 (2022) - [i124]Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen:
ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans. CoRR abs/2207.01842 (2022) - [i123]Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng:
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. CoRR abs/2207.03917 (2022) - [i122]Tianyu Wang, Xiaowei Hu, Pheng-Ann Heng, Chi-Wing Fu:
Instance Shadow Detection with A Single-Stage Detector. CoRR abs/2207.04614 (2022) - [i121]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) - [i120]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) - [i119]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) - [i118]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) - [i117]Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Chan Lu, Yang Yu, Wei Liu, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng:
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. CoRR abs/2209.07921 (2022) - [i116]Kang Li, Lequan Yu, Pheng-Ann Heng:
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening. CoRR abs/2211.04862 (2022) - [i115]Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng:
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19. CoRR abs/2211.05548 (2022) - [i114]