activity
20232026
collaborators

9 papers

cs.AI2026

Advancing Model Research in AgentX: Long-Horizon Autonomy for Industrial Recommender Systems

Shuang Yang, Zijie Zhuang, Changxin Lao +20

Sustaining industrial recommendation research requires using the results of one experiment to decide what to investigate next. We present AgentX-Model, the next generation of Agent…

cs.IR2026

From Trajectories to Evidence: Auditable Experimental Records for Industrial Research Agents

Zijie Zhuang, Changxin Lao, Pengbo Xu +13

Research agents increasingly conduct multi-round machine-learning experiments in industrial recommendation settings and retain the resulting trajectories to guide later decisions.…

cs.IR2026

RecoReward: Recommender-Guided Multimodal Description Generation for Recommendation

Guohong Mu, Yueyang Liu, Jiangxia Cao +8

Multimodal large language models (MLLMs) can convert multimodal item content into structured descriptions used as semantic features for recommendation. Conventional content-only ge…

cs.AI2026

Foundation Protocol: A Coordination Layer for Agentic Society

Bang Liu, Yongfeng Gu, Jiayi Zhang +26

Autonomous agents are moving from tools into a layer of social infrastructure: they browse, purchase, deploy software, manage systems, and increasingly interact with one another. A…

math.PR2025

Weak exponential metrics for high-dimensional log-correlated Gaussian fields

Andres A. Contreras Hip, Zijie Zhuang

For log-correlated Gaussian fields on with , Ding-Gwynne-Zhuang (2023) established the existence of subsequential limits of exponential metrics obtained fr…

math.PR2025

Bounds on the distance exponent for higher-dimensional Liouville first passage percolation

Andres A. Contreras Hip, Zijie Zhuang

For and , the higher-dimensional Liouville first passage percolation (LFPP) is a random metric on obtained by reweighting each vertex by $e^{ξh_…

math.PR2024

Percolation of thick points of the log-correlated Gaussian field in high dimensions

Jian Ding, Ewain Gwynne, Zijie Zhuang

We prove that the set of thick points of the log-correlated Gaussian field contains an unbounded path in sufficiently high dimensions. This contrasts with the two-dimensional case,…

math.PR2024

Dynamical random field Ising model at zero temperature

Jian Ding, Peng Yang, Zijie Zhuang

In this paper, we study the evolution of the zero-temperature random field Ising model as the mean of the external field increases from to . We focus on two t…

math.PR2023

Tightness of exponential metrics for log-correlated Gaussian fields in arbitrary dimension

Jian Ding, Ewain Gwynne, Zijie Zhuang

We prove the tightness of a natural approximation scheme for an analog of the Liouville quantum gravity metric on for arbitrary . More precisely, let $\{h_n\…