Hui Qian
教授
Works on optimization methods for machine learning and on intelligent robot control.
Hui Qian's lab at Zhejiang works on planning, control & multi-robot systems and learning theory & optimization. 22 papers since 2023, 17 at top venues, mostly AAAI and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 77%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 4 · collecting
- 9 papers2025 · T1 5
- 4 papers2024 · T1 4
- 5 papers2023 · T1 4
T1 venuesOtherVenues: AAAI, NeurIPS, ICCV, TIP, ECCV
Research focuspaper titles that use each topic's words
- Learning theory & optimization6 papers
- Planning, control & multi-robot systems1 paper
- optimization methods0 papers
- robot control0 papers
- intelligent0 papers
Paper list
From DBLP.
20264 papers
- IJCV (T1)CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary (opens in a new tab)
- TIP (T1)IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting (opens in a new tab)
- AAAI (T1)Mass Concept Erasure in Diffusion Models with Concept Hierarchy (opens in a new tab)
- ECCV (T1)UniTac: A Unified Multimodal Model for Cross-Sensor Tactile Understanding and Generation (opens in a new tab)
20259 papers
- ACM Trans. Multim. Comput. Commun. Appl.DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving Data Generation (opens in a new tab)
- Machine LearningEfficient projection-free online convex optimization using stochastic gradients (opens in a new tab)
- ICML (T1)Efficiently Access Diffusion Fisher: Within the Outer Product Span Space (opens in a new tab)
- ICCV (T1)FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer (opens in a new tab)
- NeurIPS (T1)Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning (opens in a new tab)
- AAAI (T1)TextToucher: Fine-Grained Text-to-Touch Generation (opens in a new tab)
- ICCV (T1)Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Visuo-Tactile Class-Incremental Learning (opens in a new tab)
20244 papers
- NeurIPS (T1)BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models (opens in a new tab)
- NeurIPS (T1)D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models (opens in a new tab)
- AAAI (T1)GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework (opens in a new tab)
- NeurIPS (T1)Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding (opens in a new tab)
20235 papers
- AAAI (T1)CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems (opens in a new tab)
- ICLR (T1)Robust Graph Dictionary Learning (opens in a new tab)
- ICARSemSCo: Semantic Frequency Domain Scan Context for LiDAR-Based Place Recognition (opens in a new tab)
- AAAI (T1)Towards Optimal Randomized Strategies in Adversarial Example Game (opens in a new tab)
- TIP (T1)Vision Transformers for Single Image Dehazing (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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