Jeffrey T. H. Wong 黃子恆
Email: thw20[at]ic[dot]ac[dot]uk
I am a second-year PhD student at Imperial College London, working in the DeepWok Lab and the System and Circuit Group under the supervision of Dr Yiren (Aaron) Zhao and Prof Wayne Luk. Prior to this, I completed both my Bachelor’s and Master’s degrees at Imperial College, specializing in Electronic and Information Engineering.
My research interests focus on efficient machine learning and hardware-software co-design. Aside from this, I am equally interested in Mechanistic interpretability and Neuroscience.
My PhD work focus on building algorithms to make machine learning cheaper, scaling computation and developing new simulation frameworks for emerging learning algorithms and devices.
Outside of academics, I enjoy playing basketball, cycling, hiking, skiing and photography.
news
| Jun 08, 2026 | \(A^3\) is now accepted in ICML 2026! It compresses LLMs memory, FLOPs and KV caches through principled low-rank decomposition. Amazing work from the team!  |
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| Mar 14, 2026 | Team-of-Thought is accepted by MAIGAI@ICLR 2026 as an oral presentation! We introduced a novel framework that assembles diverse models to function as a Multi-Agent Team through tool-calling interfaces. |
| Mar 14, 2026 | Secondary Attention Sinks is accepted by UCLR@ICLR 2026! Beside traditional BOS attention sinks, we reveal that there exist a weaker type of attention sink that occurs in the middle layer, drawing weaker but still significant attention. |
| Oct 01, 2024 | I just started my PhD! New table assigned.  |