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/Editing ([DisPose, ICLR’25], [Ca2-VDM, ICML’25], [SpA2V, ACMMM’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, arXiv’25]), Interleaved Generation ([CoMM, CVPR’25]), Reasoning Segmentation ([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 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 (2025), ACM MM (2025, 2024), AAAI (2026), BMVC (2025, 2024, 2023, 2022)

Honors and Awards: