Long Chen

Dr. Long CHEN (Chinese: 陈隆) is an assistant professor at the department of CSE, Hong Kong University of Science and Technology (HKUST). He is leading a computer vision and machine learning research group: LONG Group. His primary research directions are Computer Vision, Machine Learning, Multimedia, and Artificial Intelligence.

Recent Research Directions:

• Foundation Models Efficient Finetuning: Parameter-efficient Tuning ([IterIS, CVPR’25], [ComPro, IJCV’24]), Memory-efficient Tuning ([UniPT, CVPR’24], [SHERL, ECCV’24]), Modality-efficient Tuning ([PathWeave, NeurIPS’24]), Reinforcment Learning with Human/AI Feedback (RLHF/RLAIF) ([B2-DiffuRL, CVPR’25], [Fast RL, EMNLP’24], [RED, EMNLP’25]).
  

• Visual Generation and Editing: Image Generation/Editing ([FlowCycle, arXiv’25], [CLIPDrag, ICLR’25], [Free-Event, ICML’25]), Concept Erasure ([ErasePro, arXiv’25]), Video Generation ([Ca2-VDM, ICML’25], [SpA2V, ACMMM’25]) Video Editing and Customization ([CoMo, arXiv’25], [DisPose, ICLR’25]), 3D Mesh Generation ([Nautilus, ICCV’25]), 3D Gaussian Editing ([VcEdit, ECCV’24]).
  

• Generative Models Helps Perception: Flow Matching for Classification ([FMA, arXiv’25]), Diffusion Model for Classification ([Diff-II, CVPR’25], [NoOp, NeurIPS’25]).

• Open-world/vocabulary Perception: Object Detection ([Survey, TPAMI’24], [CCKT-Det, ICLR’25]), Scene Graph Generation ([NICEST, TPAMI’24], [INOVA, NeurIPS’25], [RECORD, NeurIPS’23], Compositional Classification ([PLO, ACMMM’25]), Pose Estimation ([Di2Pose, NeurIPS’24]), Situation Recognition ([LEX, ACMMM’24]).
  

• Multimodal Understanding and Reasoning: Benchmark for Unified Model ([GIR-Bench, arXiv’25]), RL for Reasoning ([DyME, arXiv’25][Relation-R1, AAAI’26]), Interleaved Generation ([CoMM, CVPR’25]), Reasoning Segmentation ([STAMP, arXiv’25][LENS, arXiv’25]) Hallucination ([DCD, NeurIPS’25]), Multimodal Editing ([DECap, ECCV’24]), Visual Question Answering ([IdealGPT, EMNLP’23 Findings]).
  

Services:

Associate Editor: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2025 - )
Associate Editor: IEEE Transactions on Image Processing (TIP) (2025 - )
Associate Editor: ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) (2025 - )
Action Editor: Transactions on Machine Learning Research (TMLR) (2025 - )
Action Editor: ACL Rolling Review (ARR) (2022 - )
Conference Area Chair (AC): CVPR (2026, 2025, 2024, 2023), ECCV (2024), ICLR (2026, 2025), NeurIPS (2025, 2024, 2023), ICML (2026, 2025), ACM MM (2025, 2024), AAAI (2026), BMVC (2025, 2024, 2023, 2022)

Honors and Awards: