Hi, I am Honghua Zhang (张宏华). I am a fifth-year Ph.D. student in the Computer Science department of University of California, Los Angeles (UCLA). I'm fortunate to be part of the Statistical and Relational Artificial Intelligence (StarAI) lab and to be advised by Professor Guy Van den Broeck.

My research focuses on the theory, algorithms and applications of **tractable probabilistic
models (TPMs)**, which are compact representations of probability distributions that support efficient computation of (general) marginals.
The goal of my research is to (1) understand the expressive power of
TPMs from a theoretical perspective, (2) design efficient inference algorithms
for computing marginal probabilities (e.g., over logical constraints) with TPMs, and (3) use TPMs to achieve basic logical control of language models
(e.g. generate a sentence using less than 12 words).

I also finished my undergraduate studies at UCLA with a double major in Computer Science and Mathematics.

Email: hzhang19 [at] cs [dot] ucla [dot] edu

Links: [Google Scholar] [GitHub] [Twitter]

**Where is the signal in tokenization space?**Renato Lui Geh,

**Honghua Zhang**, Kareem Ahmed, Benjie Wang, Guy Van den Broeck*arXiv 2024*.

[abstract] [pdf]**Adaptable Logical Control for Large Language Models****Honghua Zhang***, Po-Nien Kung*, Masahiro Yoshida, Guy Van den Broeck, Nanyun Peng*arXiv 2024*.

[abstract] [pdf] [code]**Polynomial Semantics of Tractable Probabilistic Circuits**Oliver Broadrick,

**Honghua Zhang**, Guy Van den Broeck*UAI 2024*.**Oral Presentation.**

[abstract] [pdf]**Tractable Control for Autoregressive Language Generation****Honghua Zhang***, Meihua Dang*, Nanyun Peng, Guy Van den Broeck*ICML 2023*.**Oral Presentation.**

[abstract] [pdf] [poster] [code]**On the Paradox of Learning to Reason from Data****Honghua Zhang**, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck.

*IJCAI 2023*.

[abstract] [pdf] [poster] [code]**Mixtures of All Trees**Nikil Roashan Selvam,

**Honghua Zhang**, Guy Van den Broeck*AISTATS 2023*.

[abstract] [pdf]**Scaling Up Probabilistic Circuits by Latent Variable Distillation**Anji Liu*,

**Honghua Zhang***, Guy Van den Broeck*ICLR 2023*.**Oral Presentation.**

[abstract] [pdf]**Probabilistic Generating Circuits****Honghua Zhang**, Brendan Juba, Guy Van den Broeck.

*ICML 2021.***Oral Presentation.**|*UAI 2021 Workshop on TPM*.**Best Paper Award.**

[abstract] [pdf] [poster] [code]**On the Relationship between Probabilistic Circuits and Determinantal Point Processes****Honghua Zhang**, Steven Holtzen, Guy Van den Broeck.

*UAI 2020.*

[abstract] [pdf]

- Reviewer for ICML, ICLR, AISTATS, NeurIPS
- Teaching Assistant for Fundamentals of Artificial Intelligence, CS161 at UCLA, 2021, 2022 and 2024