most citedCI4A: Semantic Component Interfaces for Agents Empowering Web Automation

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

MeClear: Cooperative Game-Theoretic Attribution and Risk-Aware Memory Clearance for Long-Horizon LLM Agents

Boyu Yang, Jiazheng Sun, Zilong Lu +3

Long horizon Large Language Model (LLM) agents rely on external memory systems to preserve user preferences and task knowledge across extended interactions. Conventional retrieval…

cs.AI2026

Trace2Tower: Transition-Aware EigenTrace Induction of Multi-Level Skills for LLM Agents

Jiazheng Sun, Boyu Yang, Binhao Yuan +2

Large language model agents increasingly rely on execution traces to master complex interactive tasks. However, current paradigms are bottlenecked by shallow trajectory retrieval a…

cs.SE2026

AmbiBench: Benchmarking Mobile GUI Agents Beyond One-Shot Instructions in the Wild

Jiazheng Sun, Mingxuan Li, Yingying Zhang +11

Benchmarks are paramount for gauging progress in the domain of Mobile GUI Agents. In practical scenarios, users frequently fail to articulate precise directives containing full tas…

cs.AI2026★ 1 cited

CI4A: Semantic Component Interfaces for Agents Empowering Web Automation

Zhi Qiu, Jiazheng Sun, Chenxiao Xia +2

While Large Language Models demonstrate remarkable proficiency in high-level semantic planning, they remain limited in handling fine-grained, low-level web component manipulations.…

cs.LG2025

Provable Anytime Ensemble Sampling Algorithms in Nonlinear Contextual Bandits

Jiazheng Sun, Weixin Wang, Pan Xu

We provide a unified algorithmic framework for ensemble sampling in nonlinear contextual bandits and develop corresponding regret bounds for two most common nonlinear contextual ba…

cs.AI2025

Robust, Observable, and Evolvable Agentic Systems Engineering: A Principled Framework Validated via the Fairy GUI Agent

Jiazheng Sun, Ruimeng Yang, Xu Han +5

The Agentic Paradigm faces a significant Software Engineering Absence, yielding Agentic systems commonly lacking robustness, observability, and evolvability. To address these defic…