Xiaojuan Qi   Assistant Professor Chow Yei Ching Building, Rm 518 Dept. of Electrical and Electronic Engineering University of Hong Kong Hong Kong Email: xjqi [at] eee.hku.hk [Google Scholar] [CVMI Lab][Lab GitHub]

Biography

I am currently an assistant professor at the University of Hong Kong and a member of Deep Vision Lab. My research encompasses the broad areas of Computer Vision, Deep Learning, and Artificial Intelligence. My objective is to equip machines with open-world capabilities for perceiving, understanding, and reconstructing the visual world, focusing on the following aspects: 1) 3D reconstruction, generation, and visual environment simulation; 2) Open-world, interactive and reliable visual understanding; 3) Efficient training and inference; 4) Applications on open-ended intelligent agents (e.g., autonomous driving, embodied agents). Besides, I am also interested in utilizing AI to advance scientific and medical research (AI for Science and Medicine).

I obtained my Ph.D. degree in Computer Science and Engineering Department, The Chinese University of Hong Kong (CUHK), supervised by Prof. Jiaya Jia in 2018. Before that, I got the B.Eng. degree in Electronic Science and Technology at Shanghai Jiao Tong University (SJTU) supervised by Prof. Ya Zhang in 2014.

Please email me if you are interested in joining my lab. We have one Postdoc opening in vision for robotics. Please contact me if you are interested in this opportunity.

Experiences

• Postdoctoral Researcher| Torr Vision Group, University of Oxford, Oxford United Kingdom | Dec. 2018 – Jan. 2020
  Advisor: Philip H. S. Torr
  
• Research Intern | Intel Visual Computing Lab, Intel, Santa Clara, California, USA | May. 2017 – Nov. 2017
  Advisor: Vladlen Koltun
  Topic: Image Synthesis
  
• Visiting Student | Machine Learning Group, University of Toronto, Toronto, Canada | Sep. 2016 – Dec . 2016
  Advisor: Raquel Urtasun & Sanja Fidler
  Topic: RGBD Semantic Segmentation
  

Selected Publications [Google Scholar]

*: equal contribution

• CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
  Chuofan Ma, Yi Jiang, Xin Wen, Zehuan Yuan, Xiaojuan Qi.
  Conference on Neural Information Processing Systems (NeurIPS), 2023.
  [Code]

• Data Pruning via Moving-one-Sample-out
  Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi.
  Conference on Neural Information Processing Systems (NeurIPS), 2023.
  [Code]

• CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
  Xiuzhe Wu, Peng Dai, Weipeng DENG, Handi Chen, Yang Wu, Yan-Pei Cao, Ying Shan, Xiaojuan Qi.
  Conference on Neural Information Processing Systems (NeurIPS), 2023.
  [Code]

• EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation
  Zhengzhe Liu, Jingyu Hu, Ka-Hei Hui, Xiaojuan Qi, Daniel Cohen-Or, Chi-Wing Fu.
  SIGGRAPH Asia (journal track), 2023.
  [Code]

• DreamStone: Image as a Stepping Stone for Text-Guided 3D Shape Generation
  Zhengzhe Liu, Peng Dai, Xiaojuan Qi, Chi-Wing Fu.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
  [Code].
  

• Vertical Layering of Quantized Neural Networks for Heterogeneous Inference
  Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi, Kaibin Huang.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
  [Code].
  

• Parametric Classification for Generalized Category Discovery: A Baseline Study
  Xin Wen*, Bingchen Zhao*, Xiaojuan Qi.
  IEEE International Conference on Computer Vision (ICCV), 2023.
  [Code].
  

• Texture Generation on 3D Meshes with Point-UV Diffusion
  Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi.
  IEEE International Conference on Computer Vision (ICCV, Oral), 2023.
  [Code].
  

• Prior-free Category-level Pose Estimation with Implicit Space Transformation
  Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi.
  IEEE International Conference on Computer Vision (ICCV), 2023.
  [Code].
  

• Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation
  Xiaoyang Lyu, Peng Dai, Zizhang Li, Dongyu Yan, Yi Lin, Yifan Peng, Xiaojuan Qi.
  IEEE International Conference on Computer Vision (ICCV), 2023.
  [Code].
  

• Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video
  Xiuzhe Wu, Pengfei Hu, Yang Wu, Xiaoyang Lyu, Yan-Pei Cao, Ying Shan, Wenming Yang, Zhongqian Sun, Xiaojuan Qi.
  IEEE International Conference on Computer Vision (ICCV), 2023.
  [Code].
  

• PLA: Language-Driven Open-Vocabulary 3D Scene Understanding
  Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  [Code].
  

• Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur
  Peng Dai*, Yinda Zhang*, Xin Yu, Xiaoyang Lyu, Xiaojuan Qi.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  [Code].
  

• MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
  Jiahui Liu*, Chirui Chang*, Jianhui Liu, Xiaoyang Wu, Lan Ma, Xiaojuan Qi.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  [Code].
  

• LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs
  Yukang Chen*, Jianhui Liu*, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  [Code].
  

• VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
  Yukang Chen*, Jianhui Liu*, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  [Code].
  

• Command-Driven Articulated Object Understanding and Manipulation
  Ruihang Chu, Zhengzhe Liu, Xiaoqing Ye, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  [Code].
  

• Understanding Imbalanced Semantic Segmentation Through Neural Collapse
  Zhisheng Zhong*, Jiequan Cui*, Yibo Yang*, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  [Code].
  

• DPACS: Hardware Accelerated Dynamic Neural Network Pruning through Algorithm-Architecture Co-design
  Yizhao Gao*, Baoheng Zhang*, Xiaojuan Qi, Hayden Kwok-Hay So.
  Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023.
  

• Is synthetic data from generative models ready for image recognition?
  Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip Torr, Song Bai, Xiaojuan Qi.
  International Conference on Learning Representations (ICLR, Spotlight), 2023.
  [Code].
  

• ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
  Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu.
  International Conference on Learning Representations (ICLR, Spotlight), 2023.
  [Code][Project Page].
  

• St3d++: Denoised self-training for unsupervised domain adaptation on 3d object detection
  Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi.
  IEEE Transactions on Pattern Analysis & Machine Intelligence (TPAMI), 2022.
  [Code]

• Self-Supervised Visual Representation Learning with Semantic Grouping
  Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi.
  Conference on Neural Information Processing Systems (NeurIPS), 2022.
  [Code]

• Towards Efficient 3D Object Detection with Knowledge Distillation
  Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi.
  Conference on Neural Information Processing Systems (NeurIPS), 2022.
  [Code]

• Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
  Shizhen Zhao, Xiaojuan Qi.
  Conference on Neural Information Processing Systems (NeurIPS), 2022.
  [Code]

• Rethinking Resolution in the Context of Efficient Video Recognition
  Chuofan Ma, Qiushan Guo, Yi Jiang, Ping Luo, Zehuan Yuan, Xiaojuan Qi.
  Conference on Neural Information Processing Systems (NeurIPS), 2022.
  [Code]

• Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
  Jianhui Liu*, Yukang Chen*, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi.
  Conference on Neural Information Processing Systems (NeurIPS), 2022.
  [Code]

• Unifying Voxel-based Representation with Transformer for 3D Object Detection
  Yanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun, Jiaya Jia.
  Conference on Neural Information Processing Systems (NeurIPS), 2022.
  [Code]

• DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
  Runyu Ding*, Jihan Yang*, Li Jiang, Xiaojuan Qi.
  European Conference on Computer Vision (ECCV), 2022.
  [Code]

• Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
  Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi.
  European Conference on Computer Vision (ECCV), 2022.
  [Code]

• Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability
  Ruifei He, Shuyang Sun*, Jihan Yang*, Song Bai, Xiaojuan Qi.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  [Code]

• HINT: Hierarchical Neuron Concept Explainer
  Andong Wang, Wei-Ning Lee, Xiaojuan Qi.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  [Code]

• Video Demoireing With Relation-Based Temporal Consistency
  Peng Dai, Xin Yu, Lan Ma, Baoheng Zhang, Jia Li, Wenbo Li, Jiajun Shen, Xiaojuan Qi.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  [Code]

• Voxel Field Fusion for 3D Object Detection
  Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  [Code]

• Stratified Transformer for 3D Point Cloud Segmentation
  Xin Lai*, Jianhui Liu*, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  [Code]

• Towards Implicit Text-Guided 3D Shape Generation
  Zhengzhe Liu, Yi Wang, Xiaojuan Qi, Chi-Wing Fu.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  [Code]

• Slot-VPS: Object-Centric Representation Learning for Video Panoptic Segmentation
  Yi Zhou, Hui Zhang, Hana Lee, Shuyang Sun, Pingjun Li, Yangguang Zhu, ByungIn Yoo, Xiaojuan Qi, Jae-Joon Han.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  

• TWIST: Two-Way Inter-Label Self-Training for Semi-Supervised 3D Instance Segmentation
  Ruihang Chu, Xiaoqing Ye, Zhengzhe Liu, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  [Code]

• Progressive End-to-End Object Detection in Crowded Scenes
  Anlin Zheng, Yuang Zhang, Xiangyu Zhang, Xiaojuan Qi, Jian Sun.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  [Code]

• Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
  Ruifei He*, Jihan Yang*, Xiaojuan Qi
  IEEE International Conference on Computer Vision (ICCV), 2021.
  Oral (3.4% acceptance rate)
  [Code]

• Aggregation with Feature Detection
  Shuyang Sun, Xiaoyu Yue, Xiaojuan Qi, Wanli Ouyang, Victor Prisacariu, Philip H.S. Torr
  IEEE International Conference on Computer Vision (ICCV), 2021.
  

• ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
  Jihan Yang*, Shaoshuai Shi*, Zhe Wang, Hongsheng Li, Xiaojuan Qi.
  IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
  [Code]

• PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
  Mutian Xu*, Runyu Ding*, Hengshuang Zhao, Xiaojuan Qi.
  IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
  [Code]

• 3D-to-2D Distillation for Indoor Scene Parsing
  Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
  IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
  Oral (4.3% acceptance rate)
  [Code]

• Fully Convolutional Networks for Panoptic Segmentation
  Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia
  IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
  Oral (4.3% acceptance rate)
  [Code]

• One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
  Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
  IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
  [Code]

• Lightweight Generative Adversarial Networks for Text-guided Image Manipulation
  Bowen Li, Xiaojuan Qi, Philip H.S. Torr, Thomas Lukasiewicz.
  Conference on Neural Information Processing Systems (NeurIPS), 2020.
  

• GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
  Xiaojuan Qi*, Zhengzhe Liu*, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 (accepted).
  [Code][Training data]

• Domain-invariant Stereo Matching Networks
  Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Adrian Prisacariu, Benjamin Wah, Philip H.S. Torr.
  European Conference on Computer Vision (ECCV), 2020.
  Oral (2% acceptance rate)
  [Code]

• Few-shot Action Recognition via Improved Attention with Self-supervision
  Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H.S. Torr, Piotr Koniusz.
  European Conference on Computer Vision (ECCV), 2020.
  Spotlight (5% acceptance rate)

• CN: Channel Normalization For Point Cloud Recognition
  Zetong Yang*, Yanan Sun*, Shu Liu, Xiaojuan Qi, Jiaya Jia.
  European Conference on Computer Vision (ECCV), 2020.
  

• Memory Selection Network for Video Propagation
  Ruizheng Wu*, Huaijia Lin*, Xiaojuan Qi, Jiaya Jia.
  European Conference on Computer Vision (ECCV), 2020.
  

• Global Texture Enhancement for Fake Face Detection in the Wild
  Zhengzhe Liu, Xiaojuan Qi, Philip H.S. Torr.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  [Code]

• Unifying Training and Inference for Panoptic Segmentation
  Qizhu Li, Xiaojuan Qi, Philip H.S. Torr.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

• ManiGAN: Text-Guided Image Manipulation
  Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H.S. Torr.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  [Code]

• Controllable Text-to-Image Generation
  Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H.S. Torr.
  Conference on Neural Information Processing Systems (NeurIPS), 2019.
  [Code]

• AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation
  Huaijia Lin, Xiaojuan Qi, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2019.
  [Code]

• Improved Techniques for Training Adaptive Deep Networks
  Hao Li*, Hong Zhang*, Xiaojuan Qi, Ruigang Yang, Gao Huang.
  IEEE International Conference on Computer Vision (ICCV), 2019.

• 3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis
  Xiaojuan Qi*, Zhengzhe Liu*, Qifeng Chen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

• Image Inpainting via Generative Multi-column Convolutional Neural Networks
  Yi Wang, Xin Tao, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia.
  Conference on Neural Information Processing Systems (NIPS), 2018.
  [Code]

• ICNet for Real-Time Semantic Segmentation on High-Resolution Images
  Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia
  European Conference on Computer Vision (ECCV), 2018.
  [Code]

• GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction
  Li Jiang, Shaoshuai Shi, Xiaojuan Qi, Jiaya Jia.
  European Conference on Computer Vision (ECCV), 2018.
  Oral (2.1% acceptance rate)

• Self-Boosted Gesture Interactive System with ST-Net
  Zhengzhe Liu*, Xiaojuan Qi*, Lei Pang.
  ACM Multimedia Conference (ACM MM), 2018.
  Full Research Paper
  

• GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation
  Xiaojuan Qi, Renjie Liao, Zhengzhe Liu, Raquel Urtasun, Jiaya Jia
  IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018.
  [Code][Training data]

• Semi-parametric Image Synthesis
  Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun
  IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018.
  Oral (2.1% acceptance rate)
  [Code][Video][Supplement]

• Referring Image Segmentation via Recurrent Refinement Networks
  Ruiyu Li, Kaican Li, Yi-Chun Kuo, Michelle Shu, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018.

• 3D Graph Neural Networks for RGBD Semantic Segmentation
  Xiaojuan Qi, Renjie Liao, Jiaya Jia, Sanja Fidler, Raquel Urtasun
  IEEE International Conference on Computer Vision (ICCV), 2017
  Oral (2.1% acceptance rate)
  [Code]
• Pyramid Scene Parsing Network
  Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  Winner in ImageNet Scene Parsing Challenge 2016
  [Project & Code]

• Augmented Feedback in Semantic Segmentation under Image Level Supervision
  Xiaojuan Qi, Zhengzhe Liu, Jianping Shi, Jiaya Jia.
  European Conference on Computer Vision (ECCV), 2016.
  

• DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
  Hao Chen, Xiaojuan Qi, Lequan Yu , Pheng-Ann Heng.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  

• Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
  Shu Liu, Xiaojuan Qi, Jianping Shi, Jiaya Jia
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
  Oral (3.9% acceptance rate)
  

• Deep Contextual Networks for Neuronal Structure Segmentation
  Hao Chen*, Xiaojuan Qi*, Jie-Zhi Cheng, Pheng-Ann Heng.
  Association for the Advancement of Artificial Intelligence (AAAI), 2016
  Oral
  

• Semantic Segmentation with Object Clique Potential
  Xiaojuan Qi, Jianping Shi, Shu Liu, Renjie Liao, Jiaya Jia
  IEEE International Conference on Computer Vision (ICCV), 2015
  

Honors and Awards

Full Oral presentations (acceptance rate about 2%-4%) at ECCV'18, CVPR'18, ICCV'17, CVPR'16, AAAI'16.
Outstanding Reviewer Award at ICCV 2019.
CVPR'18 Doctoral Consortium Travel Award.
Outstanding Reviewer Award at ICCV 2017.
Certificate of Merit for Best TA (Fall 2016 - 2017).
Hong Kong PhD Fellowship Award (200 candidates in Hong Kong), 2014 - 2018.
1st Place Winner at the ImageNet Scene Parsing Challenge, 2016.
1st Place Winner at MICCAI Gland Segmentation Challenge, 2015.

Professional Activities

• Program Committees:
Area Chair for NeurIPS 2023.
Area Chair for CVPR 2023.
Area Chair for WACV 2023.
Senior Program Committee Member for AAAI 2023.
Area Chair for AAAI 2022.
Area Chair for ICCV 2021.
Area Chair for CVPR 2021.
Area Chair for AAAI 2021.
Senior Program Committee Member for AAAI 2020.

• Conference Review:
European Conference on Computer Vision (ECCV) 2020.
Neural Information Systems Processing Conference (NIPS) 2020.
International Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
Internation Conference on Learning Representations (ICLR) 2020.
International Conference on Computer Vision (ICCV) 2019.
British Machine Vision Conference (BMVC) 2019.
International Conference on Computer Vision and Pattern Recognition (CVPR) 2019.
International Joint Conference on Artificial Intelligence (IJCAI) 2019.
European Conference on Computer Vision (ECCV) 2018.
International Conference on Computer Vision and Pattern Recognition (CVPR) 2018.
Neural Information Systems Processing Conference (NIPS) 2018.
Asian Conference on Computer Vision (ACCV) 2018.
International Joint Conference on Artificial Intelligence (IJCAI) 2018.
International Conference on Computer Vision (ICCV) 2017.

• Journal Review:
Nature Machine Intelligence.
International Journal on Computer Vision (IJCV).
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI).
IEEE Transaction on Image Processing (TIP).
IEEE Transaction on knowledge and Data Engineering (TKDE).
ACM Transaction on Intelligent Systems and Technology (ACM TIST).
Pattern Recognition (PR).
Medical Image Analysis (MedIA).
IEEE Transaction on Medical Imaging (TMI).

Teaching

CSCI 4190 Introduction to Social Networks	Fall	2016-2017
ENGG 5104 Image Processing and Computer Vision (Certificate of Merit for Best TA)	Fall	2016-2017
ENGG 2601A Technology, Society and Engineering Practice	Spring	2016-2017
CSCI 3290 Computational Photography	Fall	2015-2016
ENGG 2120 Digital Logic and Systems	Fall	2014-2015