Li Jiang Assistant Professor Presidential Young Fellow Room 610, Teaching Complex C School of Data Science The Chinese University of Hong Kong (Shenzhen) Shenzhen, China Email: lijiangcse [at] gmail [dot] com or jiangli [at] cuhk [dot] edu [dot] cn

Biography

I am looking for self-motivated PhD and MPhil students (2027), posdoctoral researchers, and research assistant. I am also recruiting PhD students for a joint program with SLAI. If you are interested in working with me, please drop me an email with your resume.

My research interest includes computer vision and artificial intelligence. Our current research interest and focus include 3D scene understanding, autonomous driving & embodied AI, world modeling, generative modeling, representation learning, and multi-modal learning.

Publications [Google Scholar]

* indicates equal contribution; † indicates corresponding author.
• SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models
  Junchao Huang, Guian Fang, Shengju Qian, Xianghao Kong, Zhuoran Zhao, Wei Huang, Yihua Du, Zixin Zhang, Justin Cui, Yuchao Gu, Yukang Chen, Xinting Hu, Tianyu He, Shaoshuai Shi, Zhuotao Tian, Xin Wang, Mike Zheng Shou, Li Jiang†.
  Technical Report, 2026.
  

  [Paper] [Project] [Dataset] [Model Weights] [Code] [Bib]

• WorldCast: Distributed Multiplayer World Models
  Ziyang Ye, Junchao Huang, Evelyn Zhang, Zhihao Xie, Ruicheng Zhang, Boyao Han, Litao Ban, Ziye Wang, Xinting Hu, Shaoshuai Shi, Zhuotao Tian, Li Jiang†.
  Technical Report, 2026.
  

  [Paper] [Project] [Code] [Bib]

• Spatial Memory Intelligence: Endowing World Models with Understanding-Driven Long-Term Memory
  Ying Yang*, Guiyu Zhang*, Lianghua Huang, ChangNie, Chenyang Si, Haofan Wang, Shaoshuai Shi, Li Jiang†.
  Technical Report, 2026.
  

  [Paper] [Project] [Code] [Bib]

• VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders
  Zhihao Xie, Junfeng Wu, Xinting Hu, Junchao Huang, Li Jiang†.
  Technical Report, 2026.
  

  [Paper] [Project] [Code] [Bib]

• EVO-WAM: Evolving World Action Models through Video-Action Verification
  Shiyang Zhou, Xionghao Wu, Wenbo Li, Shenghe Zheng, Jiyao Zhang, Songsong Yu, Yijun Yang, Jianhui Liu, Haoze Sun, Senqiao Yang, Li Jiang, Jingyong Su, Haoyang Huang, Zhuotao Tian.
  Technical Report, 2026.
  

  [Paper] [Project] [Code] [Bib]

• DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving
  Chen Shi*, Jinrui Xu*, Shaoshuai Shi, Kehua Sheng, Bo Zhang, Li Jiang†.
  Conference on Neural Information Processing Systems (NeurIPS), 2026.
  

  [Paper] [Project] [Code] [Bib]

• VersaCamVLA: Camera-Configurable VLA Policies for Robotic Manipulation
  Boyao Han*, Chen Shi*, Jingjing Qian, Zhuotao Tian, Li Jiang†.
  Conference on Neural Information Processing Systems (NeurIPS), 2026.
  

  [Paper] [Project] [Code] [Bib]

• Memory Forcing: Spatio-Temporal Memory for Consistent Scene Generation on Minecraft
  Junchao Huang, Xinting Hu, Boyao Han, Shaoshuai Shi, Zhuotao Tian, Tianyu He, Li Jiang†.
  Conference on Neural Information Processing Systems (NeurIPS), 2026.
  

  [Paper] [Project] [Bib]

• Learning Semantic Consistency for Open-Vocabulary Dense Perception
  Li Ding, Junjie Wang, Jingjun Yang, Jiaze Wang, Libo Qin, Li Jiang, Zhuotao Tian.
  Conference on Neural Information Processing Systems (NeurIPS), 2026.
  

  [Paper] [Bib]

• HiLoc: A Hierarchical Representation Method for Spatial Localization in Multimodal Large Language Models
  Evelyn Zhang, Fufu Yu, Hanjun Li, Aoqi Wu, Ke Yan, Shouhong Ding, Tianhe Ren, Xinting Hu, Xiaojuan Qi, Li Jiang, Jiaya Jia.
  Conference on Neural Information Processing Systems (NeurIPS), 2026.
  

  [Paper] [Bib]

• ELAN4D: Embodiment-Centric 4D Supervision for Vision-Language-Action Models via Plug-and-Play Adaptation
  Zeyuan He, Bowen Yang, Zhirui Fang, Keru Zhou, Lei Jiang, Jingjing Qian, Fan Mo, Junchi Yan, Philip Torr, Xiu Li, Li Jiang, Jialin Yu.
  Conference on Robot Learning (CoRL), 2026.
  

  [Paper] [Bib]

• Enhancing Local Cognition of CLIP for Training-Free Open Vocabulary Semantic Segmentation
  Tong Shao, Zhuotao Tian, Yunyang Mo, Guoying Sun, Li Jiang, Hengshuang Zhao, Jingyong Su.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), accepted, 2026.
  

  [Paper] [Bib]

• ESCAPE: Episodic Spatial Memory and Adaptive Execution Policy for Long-Horizon Mobile Manipulation
  Jingjing Qian, Zeyuan He, Chen Shi, Lei Xiao, Li Jiang†.
  European Conference on Computer Vision (ECCV), 2026.
  

  [Paper] [Bib]

• LIVE: Long-horizon Interactive Video World Modeling
  Junchao Huang, Ziyang Ye, Xinting Hu, Tianyu He, Guiyu Zhang, Shaoshuai Shi, Jiang Bian, Li Jiang†.
  International Conference on Machine Learning (ICML), 2026.
  

  [Paper] [Project] [Bib]

• GeoPredict: Leveraging Predictive Kinematics and 3D Gaussian Geometry for Precise VLA Manipulation
  Jingjing Qian, Boyao Han, Chen Shi, Lei Xiao, Long Yang, Shaoshuai Shi, Li Jiang†.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
  Highlight.
  

  [Paper] [Project] [Bib]

• SymphoMotion: Joint Control of Camera Motion and Object Dynamics for Coherent Video Generation
  Guiyu Zhang, Yabo Chen, Xunzhi Xiang, Junchao Huang, Zhongyu Wang, Li Jiang†.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
  

  [Paper] [Project] [Bib]

• UniSplat: Unified Spatio-Temporal Fusion via 3D Latent Scaffolds for Dynamic Driving Scene Reconstruction
  Chen Shi, Shaoshuai Shi, Xiaoyang Lyu, Chunyang Liu, Kehua Sheng, Bo Zhang, Li Jiang†.
  International Conference on Learning Representations (ICLR), 2026.
  

  [Paper] [Project] [Bib]

• FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging
  Ziyang Fan, Yulin Li, Ruilong Xing, Keyu Chen, Li Jiang, Zhuotao Tian.
  International Conference on Learning Representations (ICLR), 2026.
  Oral Presentation.
  

  [Paper] [Code] [Bib]

• Proteus-ID: ID-Consistent and Motion-Coherent Video Customization
  Guiyu Zhang, Chen Shi, Zijian Jiang, Xunzhi Xiang, Jingjing Qian, Shaoshuai Shi, Li Jiang†.
  SIGGRAPH Asia, 2025.
  

  [Paper] [Project] [Bib]

• Unsupervised 3D Object Detection by Commonsense Clue
  Hai Wu, Shijia Zhao, Xun Huang, Qiming Xia, Chenglu Wen, Li Jiang, Xin Li, Cheng Wang.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), accepted, 2025.
  

  [Paper] [Bib]

• DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving
  Chen Shi, Shaoshuai Shi, Kehua Sheng, Bo Zhang, Li Jiang†.
  IEEE International Conference on Computer Vision (ICCV), 2025.
  

  [Paper] [Bib]

• Edit360: 2D Image Edits to 3D Assets from Any Angle
  Junchao Huang, Xinting Hu, Shaoshuai Shi, Zhuotao Tian, Li Jiang†.
  IEEE International Conference on Computer Vision (ICCV), 2025.
  Highlight.
  

  [Paper] [Project] [Bib]

• Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation
  Zhenhua Ning, Zhuotao Tian, Shaoshuai Shi, Guangming Lu, Daojing He, Wenjie Pei†, Li Jiang†.
  IEEE International Conference on Computer Vision (ICCV), 2025.
  

  [Paper] [Bib]

• Mitigating Object Hallucinations via Sentence-Level Early Intervention
  Shangpin Peng, Senqiao Yang, Li Jiang, Zhuotao Tian.
  IEEE International Conference on Computer Vision (ICCV), 2025.
  

  [Paper] [Bib]

• 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer
  Jiajun Deng, Tianyu He, Li Jiang, Tianyu Wang, Feras Dayoub, Ian Reid.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
  

  [Paper] [Bib]

• JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data
  Runjian Chen, Wenqi Shao, Bo Zhang, Shaoshuai Shi, Li Jiang, Ping Luo.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
  

  [Paper] [Bib]

• LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data
  Shaocong Xu, Pengfei Li, Qianpu Sun, Xinyu Liu, Yang Li, Shihui Guo, Zhen Wang, Bo Jiang, Rui Wang, Kehua Sheng, Bo Zhang, Li Jiang, Hao Zhao, Yilun Chen.
  AAAI Conference on Artificial Intelligence (AAAI), 2025.
  

  [Paper] [Code] [Bib]

• GiT: Towards Generalist Vision Transformer through Universal Language Interface
  Haiyang Wang*, Hao Tang*, Li Jiang†, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang†.
  European Conference on Computer Vision (ECCV), 2024.
  Oral Presentation.
  

  [Paper] [Code] [Bib]

• MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment
  Anurag Das, Xinting Hu, Li Jiang, Bernt Schiele.
  European Conference on Computer Vision (ECCV), 2024.
  

  [Paper] [Bib]

• MTR v3: 1st Place Solution for 2024 Waymo Open Dataset Challenge - Motion Prediction
  Chen Shi, Shaoshuai Shi, Li Jiang†.
  Waymo Motion Prediction Challenge at Workshop on Autonomous Driving of CVPR (CVPRW), 2024.
  Won the champion of Waymo Open Dataset Motion Prediction Challenge 2024 (June 2024).

  [Paper] [Bib]

• Point Transformer V3: Simpler, Faster, Stronger
  Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  Oral Presentation (0.78% acceptance rate).
  

  [Paper] [Code] [Bib]

• GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
  Chengyao Wang, Li Jiang, Xiaoyang Wu, Zhuotao Tian, Bohao Peng, Hengshuang Zhao, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  

  [Paper] [Code] [Bib]

• Training Vision Transformers for Semi-Supervised Semantic Segmentation
  Xinting Hu, Li Jiang, Bernt Schiele.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  

  [Paper] [Bib]

• Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
  Bohao Peng, Xiaoyang Wu, Li Jiang†, Yukang Chen, Hengshuang Zhao, Zhuotao Tian†, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  

  [Paper] [Code] [Bib]

• Unified Language-driven Zero-shot Domain Adaptation
  Senqiao Yang, Zhuotao Tian, Li Jiang, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  

  [Paper] [Project] [Bib]

• FreePoint: Unsupervised Point Cloud Instance Segmentation
  Zhikai Zhang, Jian Ding, Li Jiang, Dengxin Dai, Gui-Song Xia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  

  [Paper] [Bib]

• Open-Vocabulary 3D Semantic Segmentation with Foundation Models
  Li Jiang, Shaoshuai Shi, Bernt Schiele.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  Highlight (2.8% acceptance rate).
  

  [Paper] [Bib]

• MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying
  Shaoshuai Shi*, Li Jiang*†, Dengxin Dai, Bernt Schiele.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), accepted, 2024.
  Won the champion of Waymo Open Dataset Motion Prediction Challenge 2023 (May 2023).
  

  [Paper] [Bib]

• Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding
  Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  

  [Paper] [Bib]

• Learning Context-aware Classifier for Semantic Segmentation
  Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia.
  AAAI Conference on Artificial Intelligence (AAAI), 2023.
  Oral Presentation.
  

  [Paper] [Code] [Bib]

• Point Transformer V2: Grouped Vector Attention and Partition-based Pooling
  Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao.
  Conference on Neural Information Processing Systems (NeurIPS), 2022.
  

  [Paper] [Code] [Bib]

• Motion Transformer with Global Intention Localization and Local Movement Refinement
  Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele.
  Conference on Neural Information Processing Systems (NeurIPS), 2022.
  Oral Presentation.
  Ranked 1st on Waymo motion prediction and interaction prediction two leaderboards (May 2022).
  

  [Paper] [Code] [Bib]

• MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge–Motion Prediction
  Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele.
  Waymo Motion Prediction Challenge at Workshop on Autonomous Driving of CVPR (CVPRW), 2022.
  Won the champion of Waymo Open Dataset Motion Prediction Challenge 2022 (June 2022).

  [Paper] [Code] [Bib]

• PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
  Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, Hongsheng Li.
  International Journal of Computer Vision (IJCV), accepted, 2022.
  

  [Paper] [Code] [Bib]

• Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds
  Wu Zheng, Li Jiang, Fanbin Lu, Yangyang Ye, Chi-Wing Fu.
  ACM International Conference on Multimedia (ACMMM), 2022.
  

  [Paper] [Bib]

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

  [Paper] [Code] [Bib]

• A Unified Query-based Paradigm for Point Cloud Understanding
  Zetong Yang*, Li Jiang*, Yanan Sun, Bernt Schiele, Jiaya Jia. (*: equal contribution)
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  

  [Paper] [Code] [Bib]

• Boosting 3D Object Detection by Simulating Multimodality on Point Clouds
  Wu Zheng, Mingxuan Hong, Li Jiang, Chi-Wing Fu.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  Oral Presentation.
  

  [Paper] [Bib]

• Generalized Few-Shot Semantic Segmentation
  Zhuotao Tian, Xin Lai, Li Jiang, Michelle Shu, Hengshuang Zhao, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  

  [Paper] [Code] [Bib]

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

  [Paper] [Code] [Bib]

• Adaptive Perspective Distillation for Semantic Segmentation
  Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), accepted, 2022.
  

  [Paper] [Bib]

• Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
  Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2021.
  

  [Paper] [Code] [Bib]

• Point Transformer
  Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip Torr, Vladlen Koltun.
  IEEE International Conference on Computer Vision (ICCV), 2021.
  Oral Presentation (3.4% acceptance rate).
  

  [Paper] [Bib]

• Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
  Xin Lai*, Zhuotao Tian*, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia. (*: equal contribution)
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  

  [Paper] [Code] [Bib]

• Bidirectional Projection Network for Cross Dimension Scene Understanding
  Wenbo Hu*, Hengshuang Zhao*, Li Jiang, Jiaya Jia, Tien-Tsin Wong. (*: equal contribution)
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  Oral Presentation (4.3% acceptance rate).
  

  [Paper] [Code] [Bib]

• SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
  Wu Zheng, Weiliang Tang, Li Jiang, Chi-Wing Fu.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  Ranked 1st/2nd on KITTI BEV/3D object detection benchmark (Car, Nov 2020 - May 2021).
  

  [Paper] [Code] [Bib]

• CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
  Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, Chi-Wing Fu.
  AAAI Conference on Artificial Intelligence (AAAI), 2021.
  

  [Paper] [Code] [Bib]

• PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
  Li Jiang*, Hengshuang Zhao*, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia. (*: equal contribution)
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  Oral Presentation (5.7% acceptance rate).
  Ranked 1st on ScanNet 3D Semantic instance benchmark (Nov-16 2019).
  

  [Paper] [Code] [Bib]

• PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
  Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  Ranked 1st on KITTI 3D object detection benchmark (Car, Nov 2019 - Aug 2020).
  

  [Paper] [Code] [Bib]

• Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
  Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2019.
  

  [Paper] [Bib]

• Amodal Instance Segmentation through KINS Dataset
  Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  

  [Paper] [Code] [Bib]

• PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
  Hengshuang Zhao*, Li Jiang*, Chi-Wing Fu, Jiaya Jia. (*: equal contribution)
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  

  [Paper] [Code] [Video] [Bib]

• 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 Presentation (2.1% acceptance rate).
  

  [Paper] [Bib]

Experience

• Oxford University, Oxford, England
  Jan 2021 – Jul 2021
  
  Visitor (Remote)
  Advisor: Hengshuang Zhao and Philip Torr
  Topic: Hand Parsing and Reconstruction
  
• SmartMore, Shenzhen, China
  Feb 2020 – Jul 2021
  
  Computer Vision Research Intern
  Advisor: Shu Liu
  Topic: 3D Scene Understanding, Robotic Grasping
  
• Tencent YouTu Lab, Shenzhen, China
  Jul 2018 – Jan 2020
  
  Computer Vision Research Intern
  Advisor: Shu Liu and Xiaoyong Shen
  Topic: 3D Semantic Segmentation, Depth Prediction
  
• Australian National University (ANU), Canberra, Australia
  Jul 2016 - Dec 2016
  
  Exchange Student
  Topic: Document Analysis
  

Professional Activities

• Area Chair:
    AAAI Conference on Artificial Intelligence (AAAI), 2027.
    Neural Information Processing Systems (NeurIPS), 2026.
    Neural Information Processing Systems (NeurIPS), 2025.
  
• Conference Reviewer:
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
    IEEE International Conference on Computer Vision (ICCV).
    European Conference on Computer Vision (ECCV).
    Neural Information Processing Systems (NeurIPS).
    International Conference on Learning Representations (ICLR).
    International Conference on Machine Learning (ICML).
    ACM Multimedia (ACM-MM).
    SIGGRAPH.
  
• Journal Reviewer:
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
    International Journal of Computer Vision (IJCV).
    IEEE Transactions on Image Processing (TIP).
    Pattern Recognition (PR).
  

Honors & Awards

Teaching

• Teaching:

  CSC3100 Data Structure	Spring	2023-2024
  CSC6051/MDS6004 Image Processing and Computer Vision	Fall	2024-2025
  CSC3100 Data Structure	Spring	2024-2025
  CSC3100 Data Structure	Summer	2025-2026
  CSC3100 Data Structure	Fall	2025-2026
  CSC6051/MDS5112 Image Processing and Computer Vision	Spring	2025-2026
  CSC3100 Data Structure	Fall	2026-2027

• Teaching Assistant:

  ENGG5104 Image Processing and Computer Vision	Spring	2020-2021
  ENGG1110 Problem Solving By Programming	Fall	2019-2020
  CSCI2100B Data Structure	Spring	2018-2019
  ENGG1110 Problem Solving By Programming	Fall	2018-2019
  ENGG1100 Introduction to Engineering Design	Spring	2017-2018
  CSCI1130 Introduction to Computing Using JAVA	Fall	2017-2018