Yao-Xiang Ding
Assistant Professor
Studies machine learning heuristics, including neurosymbolic visual understanding and reducing sample complexity of learning; member of Kun Zhou's GAPS group.
Yao-Xiang Ding's lab at Zhejiang works on reasoning & neuro-symbolic AI, learning theory & optimization and recognition, detection & segmentation. 19 papers since 2023, 14 at top venues, mostly KDD and TMLR. 3 PhD students and 5 master's students. 3 alumni, most often to ByteDance and Huawei. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 74%
- PhD students
- 3
- MS students
- 5
- alumni listed
- 3
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 3 · collecting
- 8 papers2025 · T1 7
- 4 papers2024 · T1 2
- 2 papers2023 · T1 2
T1 venuesOtherVenues: KDD, TMLR, AAAI, NeurIPS, ACM MM
Research focuspaper titles that use each topic's words
- Learning theory & optimization7 papers
- Reasoning & neuro-symbolic AI1 paper
- Recognition, detection & segmentation0 papers
- visual understanding0 papers
- neurosymbolic0 papers
Paper list
From the lab homepage.
20265 papers
- ICML (T1)Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation
- TVCGExpressive Head Avatar Modeling from Monocular Video of Neutral Expression
- TMLR (T1)FreeFuse: Multi-Subject LoRA Fusion via Auto Masking at Test Time
- PAKDDHarnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation
- NeurIPS (T1)Tree-Guided Identify-Then-Exploit: A Unified Framework of Best Arm Identification and Regret Minimization for Dueling Bandits
20258 papers
- KDD (T1)Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations
- Computers & GraphicsAppearance as Reliable Evidence: Reconciling Appearance and Generative Priors for Monocular Motion Estimation
- TMLR (T1)Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models
- AAAI (T1)Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment
- KDD (T1)Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings
- TNNLS (T1)Learning Objective Adaptation by Correlation-based Model Reuse
- SIGGRAPH (T1)Motion-example-controlled Co-speech Gesture Generation Leveraging Large Language Models
- TMLR (T1)Reinforcement Learning from Bagged Reward
20244 papers
- ACM MMEnabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation
- KDD (T1)Handling Varied Objectives by Online Decision Making
- AAAI (T1)Learning Only When It Matters: Cost-Aware Long-Tailed Classification
- IJCLRPre-Training Meta-Rule Selection Policy for Visual Generative Abductive Learning
20232 papers
- NeurIPS (T1)Model Spider: Learning to Rank Pre-Trained Models Efficiently
- ICLR (T1)Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning
Where alumni went3 listed, 100% to industry
Industry 2Academia 0
Most often to
- ByteDance
- Huawei
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
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- Collected
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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