Fengxiang He
Lecturer in Machine Learning
Studies the learning-theoretic and game-theoretic foundations of AI behaviour, including generalisation, privacy and fairness, and symmetry-exploiting algorithms.
Fengxiang He's lab at Edinburgh works on trustworthy & safe ML. 55 papers since 2023, 17 at top venues, mostly ICLR and ICML. 7 PhD students and 2 master's students.
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 31%
- PhD students
- 7
- MS students
- 2
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 17 papers2026 · T1 1 · collecting
- 13 papers2025 · T1 3
- 9 papers2024 · T1 4
- 16 papers2023 · T1 9
T1 venuesOtherVenues: ICLR, ICML, IJCAI, TPAMI, UAI
Research focuspaper titles that use each topic's words
- generalisation2 papers
- Trustworthy & safe ML1 paper
- game-theoretic0 papers
- behaviour0 papers
- fairness0 papers
Paper list
From the lab homepage and DBLP.
202617 papers
- —Aijie Shu, Bowei Chen, Wenbin Wu, Cathy Yi-Hsuan Chen, Fengxiang He, DeXposure-Claw: An Agentic System for DeFi Risk Supervision. 2026.
- —Aijie Shu, Wenbin Wu, Gbenga Ibikunle, and Fengxiang He, DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks. 2026. [model]
- Trans. Mach. Learn. Res.Drawback of Enforcing Equivariance and its Compensation via the Lens of Expressive Power (opens in a new tab)
- —Fengxiang He, Lihao Nan, and Tongtian Zhu, Imagining a Democratic, Affordable Future of Foundation Models: A Decentralised Avenue. In Handbook of Blockchain Analytics, Springer Nature, 2026. [Springer webpage]
- —Finn van der Knaap, Kejiang Qian, Zheng Xu, Fengxiang He, PRISM: Parallel Reward Integration with Symmetry for MORL. 2026.
- —Hang Yu, Zifan Zheng, Jeff Z. Pan, Tongliang Liu, Zhiyong Wang, Fengxiang He, AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents. 2026.
- TAC (T1)Inverse Learning of Black-Box Aggregator for Robust Nash Equilibrium (opens in a new tab)
- —Junle Li, Weixian Waylon Li, Fuxiang Wu, Fusheng Hao, Fengxiang He, SAVLA: Symmetry-Aware Vision-Language-Action Models for Robotic Manipulation. 2026. NEW
- —Kejiang Qian, Amos Storkey, Fengxiang He, Rationality Measurement and Theory for Reinforcement Learning Agents. International Conference on Machine Learning (ICML), 2026.
- —Kejiang Qian, Fengxiang He, In LLM Reasoning, there is Irrationality on top of Value Misalignment. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026.
- —Kenton Tang, Yuzhu Chen, Fengxiang He, Generalisation of RLHF under Reward Shift and Clipped KL Regularisation. 2026.
- Trans. Mach. Learn. Res.PSAG: Projection-based Stabilized Attribution Guidance for Online Continual Learning (opens in a new tab)
202513 papers
- IEEE Trans. Neural Networks Learn. Syst.Attentive Learning Facilitates Generalization of Neural Networks (opens in a new tab)
- ACM Trans. Knowl. Discov. DataBoosting Fair Classifier Generalization through Adaptive Priority Reweighing (opens in a new tab)
- ICLR (T1)DICE: Data Influence Cascade in Decentralized Learning (opens in a new tab)
- NeurocomputingGraph traverse reference network for sign language corpus retrieval in the wild (opens in a new tab)
- —Guanpu Chen, Gehui Xu, Fengxiang He, Dacheng Tao, Thomas Parisini, Karl Henrik Johansson. Inverse learning of black-box aggregator for robust Nash equilibrium. IEEE Transactions on Automatic Control (TAC), 2025.
- IJCAI (T1)Human-Imperceptible, Machine-Recognizable Images (opens in a new tab)
- Trans. Mach. Learn. Res.Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations (opens in a new tab)
- CVPR (T1)Task-Aware Clustering for Prompting Vision-Language Models (opens in a new tab)
- —Tongtian Zhu, Wenhao Li, Can Wang, Fengxiang He, DICE: Data Influence Cascade in Decentralized Learning. International Conference on Learning Representations (ICLR), 2025.
- IEEE Trans. Neural Networks Learn. Syst.Understanding Deep Learning via Decision Boundary (opens in a new tab)
- —Wenbin Wu, Kejiang Qian, Alexis Lui, Christopher Jack, Yue Wu, Peter McBurney, Fengxiang He, Bryan Zhang. DeXposure: A Dataset and Benchmarks for Inter-protocol Credit Exposure in Decentralized Financial Networks. 2025. [data] [visualisation]
- BIBMXAI for In-Hospital Mortality Prediction via Multimodal ICU Data (opens in a new tab)
20249 papers
- UAI (T1)Adaptive Time-Stepping Schedules for Diffusion Models (opens in a new tab)
- WWW (T1)AI Driven Online Advertising: Market Design, Generative AI, and Ethics (opens in a new tab)
- TPAMI (T1)Approaching the Global Nash Equilibrium of Non-Convex Multi-Player Games (opens in a new tab)
- IEEE Trans. Parallel Distributed Syst.Communication-Efficient Regret-Optimal Distributed Online Convex Optimization (opens in a new tab)
- ICLR (T1)Convergence of Bayesian Bilevel Optimization (opens in a new tab)
- —Guanpu Chen, Gehui Xu, Fengxiang He✉, Yiguang Hong, Leszek Rutkowski, and Dacheng Tao, Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
- IEEE Trans. Mob. Comput.InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference (opens in a new tab)
- —Shi Fu, Fengxiang He et al. Convergence of Bayesian Bilevel Optimization. International Conference on Learning Representations (ICLR), 2024. [bib]
- Commun. ACMShortcut Learning of Large Language Models in Natural Language Understanding (opens in a new tab)
202316 papers
- TPAMI (T1)Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction (opens in a new tab)
- ICCV (T1)Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification (opens in a new tab)
- ICML (T1)Decentralized SGD and Average-direction SAM are Asymptotically Equivalent (opens in a new tab)
- UAI (T1)E(2)-Equivariant Vision Transformer (opens in a new tab)
- Machine LearningHeterogeneous multi-task Gaussian Cox processes (opens in a new tab)
- IJCAI (T1)Improving Heterogeneous Model Reuse by Density Estimation (opens in a new tab)
- IEEE Trans. Multim.Language-Based Image Manipulation Built on Language-Guided Ranking (opens in a new tab)
- AISTATS (T1)Learning to Generalize Provably in Learning to Optimize (opens in a new tab)
- —Mengnan Du, Fengxiang He et al. Shortcut Learning of Large Language Models in Natural Language Understanding. Communications of the ACM, 2023. [bib]
- IEEE Trans. Multim.Mixer-Based Semantic Spread for Few-Shot Learning (opens in a new tab)
- AAAI (T1)Reject Decoding via Language-Vision Models for Text-to-Image Synthesis (opens in a new tab)
- IEEE Trans. Multim.Self-Ensembling GAN for Cross-Domain Semantic Segmentation (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to EdinburghFall 2027
Not announced yet
Informatics PhD
- Round
- Rolling (funding consideration)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Not yet confirmed for this intake.
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Data
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