I am a Ph.D. student in Computer Science in BDSC lab at the University of Illinois Chicago (UIC), under the supervision of Professor Philip S. Yu. I work on LLM-based Agents, Human-Agent Collaboration, and Agent Memory: what an agent should carry across long-horizon tasks, and where a human belongs in the loop. Recent work includes a survey of agent memory for self-evolving, long-horizon agents (TMLR 2026, Survey Certification) and a study of open-domain evaluation and multi-stage guardrails for deep research (ACL 2026 Main).

🔎 I am actively looking for Research Internship opportunities in Summer 2027. Feel free to reach out!

🔥 News

2026.08“A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents” accepted to TMLR, with Survey Certification.
2026.05“LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey” accepted to ACL 2026 Findings.
2026.04“Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety” accepted to ACL 2026 Main.
2026.01“MADIAVE: Multi-Agent Debate for Implicit Attribute Value Extraction” accepted to EACL 2026 Findings.
2026.01“RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback” accepted to ICLR 2026.
2026.01Reviewing for ICML 2026, ACL 2026, and ACL 2026 Industry Track.

📝 Selected Publications

TMLR 2026

Taxonomy of agent memory in three columns: memory substrate, memory cognitive mechanism, and memory subject

A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents

Wei-Chieh Huang^*, Weizhi Zhang^*, Yueqing Liang^*, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, …, Jiawei Han, Philip S. Yu, Kai Shu

🏆 Survey Certification

EACL 2026 Findings

Multi-agent debate pipeline for implicit attribute value extraction, repeating selection and debate over N rounds

MADIAVE: Multi-Agent Debate for Implicit Attribute Value Extraction

Wei-Chieh Huang, Cornelia Caragea

ACL 2026 Main

Deep research pipeline annotated with the general stages of input, plan, search, and output, and the guardrail stages added at each

Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety

Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Yinghui Li, Renhe Jiang, Philip S. Yu

ACL 2026 Findings

Overview of LLM-based human-agent systems, showing where human feedback enters the collaboration loop

LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey

Henry Peng Zou^*, Wei-Chieh Huang^*, Yaozu Wu^*, Jizhou Guo, Yankai Chen, Chunyu Miao, Hoang Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Hanrong Zhang, Fangxin Wang, Pengfei Zhang, Huacan Wang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Xue Liu, Philip S. Yu

arXiv 2025

Side-by-side comparison of autonomous agent systems and human-agent systems

A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy

Henry Peng Zou^*, Wei-Chieh Huang^*, Yaozu Wu^*, Chunyu Miao, Dongyuan Li, Aiwei Liu, Yue Zhou, Yankai Chen, Weizhi Zhang, Yangning Li, Liancheng Fang, Renhe Jiang, Philip S. Yu

EMNLP 2025 Findings

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

Yangning Li^*, Weizhi Zhang^*, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu

arXiv 2025

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents

Weizhi Zhang^*, Yangning Li^*, Wei-Chieh Huang^*, Yuanchen Bei, Junyu Luo, Guancheng Wan, Liangwei Yang, Chenxuan Xie, Yuyao Yang, Chunyu Miao, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Yankai Chen, Chunkit Chan, Peilin Zhou, Xinyang Zhang, Chenwei Zhang, Jingbo Shang, Ming Zhang, Yangqiu Song, Irwin King, Philip S. Yu

📚 All Publications

A complete and up-to-date list is available on my Google Scholar profile.

2026

A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents

Wei-Chieh Huang^*, Weizhi Zhang^*, Yueqing Liang^*, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, et al.

TMLR 2026🏆 Survey Certification

RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback

Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang H Nguyen, Yue Zhou, Jie Yang, Jizhou Guo, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang, Jinhu Qi, Wei-Chieh Huang, et al.

ICLR 2026

Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety

Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, et al.

ACL 2026 Main

LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey

Henry Peng Zou^*, Wei-Chieh Huang^*, Yaozu Wu^*, Jizhou Guo, Yankai Chen, Chunyu Miao, Hoang Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Hanrong Zhang, Fangxin Wang, et al.

ACL 2026 Findings

MADIAVE: Multi-Agent Debate for Implicit Attribute Value Extraction

Wei-Chieh Huang, Cornelia Caragea

EACL 2026 Findings

MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization

Weizhi Zhang, Xiaokai Wei, Wei-Chieh Huang, Zheng Hui, Chen Wang, Michelle Gong, Philip S. Yu

Lifelong Agent Workshop @ ICLR 2026

HAS-Bench: Evaluating LLM-Based Human-Agent Systems under Configurable Human Participation

Yaozu Wu, Wei-Chieh Huang, Jizhou Guo, Dongyuan Li, Renhe Jiang, Henry Peng Zou, Chunyu Miao, Shanghao Li, Weizhi Zhang, WeiWei Ye, Yankai Chen, Meng Zhang, et al.

arXiv preprint

MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery

Enze Ma, Yufan Zhou, Wei-Chieh Huang, Jie Yang, Huanhuan Ma, Zixuan Wang, Chengze Li, Chunyu Miao, Philip S. Yu, Zhen Wang

arXiv preprint

ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models

Chengze Li, Lingwei Wei, Li Sun, Hongbo Lv, Jie Yang, Hanrong Zhang, Kening Zheng, Wei-Chieh Huang, Enze Ma, Philip S. Yu

arXiv preprint

Resolving Action Bottleneck: Agentic Reinforcement Learning Informed by Token-Level Energy

Langzhou He, Junyou Zhu, Yue Zhou, Zhengyao Gu, Junhua Liu, Wei-Chieh Huang, Henry Peng Zou, David Wipf, Philip S. Yu, Qitian Wu

arXiv preprint

Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation

Kening Zheng, Wei-Chieh Huang, Jiahao Huo, Zhonghao Li, Henry Peng Zou, Yibo Yan, Xin Zou, Jungang Li, Junzhuo Li, Hanrong Zhang, Xuming Hu, Philip S. Yu

arXiv preprint

CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification

Hanrong Zhang, Shicheng Fan, Henry Peng Zou, Yankai Chen, Zhenting Wang, Jiayu Zhou, Chengze Li, Wei-Chieh Huang, Yifei Yao, Kening Zheng, Xue Liu, Xiaoxiao Li, et al.

arXiv preprint

When Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation

Henry Peng Zou, Chunyu Miao, Wei-Chieh Huang, Yankai Chen, Yue Zhou, Hanrong Zhang, Yaozu Wu, Liancheng Fang, Zhengyao Gu, Zhen Zhang, Kening Zheng, Fangxin Wang, et al.

arXiv preprint

Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models

Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Enze Ma, Leyi Pan, Chunyu Miao, Wei-Chieh Huang, Xue Liu, Philip S. Yu

arXiv preprint

CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding

Jiahao Huo, Yu Huang, Yibo Yan, Ye Pan, Kening Zheng, Wei-Chieh Huang, Yi Cao, Mingdong Ou, Philip S. Yu, Xuming Hu

arXiv preprint

Scaling LLM Agent Learning with Data Synthesis: A Comprehensive Survey

Hanrong Zhang, Yankai Chen, Shicheng Fan, Dehai Min, Shaowen Chen, Huanhuan Ma, Zhaofen Wu, Jie Yang, Bowei He, Jikun Kang, Kening Zheng, Xi Chen, Chunyu Miao, Fulin Lin, Wei-Chieh Huang, et al.

Preprint

2025

Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning

Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu

EMNLP 2025 Findings

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

Yangning Li^*, Weizhi Zhang^*, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, et al.

EMNLP 2025 Findings

Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions

Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu

EMNLP 2025 Findings

PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents

Yaozu Wu, Jizhou Guo, Dongyuan Li, Henry Peng Zou, Wei-Chieh Huang, Yankai Chen, Zhen Wang, Weizhi Zhang, Yangning Li, Meng Zhang, Renhe Jiang, Philip S. Yu

arXiv preprint

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents

Weizhi Zhang^*, Yangning Li^*, Wei-Chieh Huang^*, Yuanchen Bei, Junyu Luo, Guancheng Wan, Liangwei Yang, Chenxuan Xie, Yuyao Yang, Chunyu Miao, Henry Peng Zou, Xiao Luo, et al.

arXiv preprint

A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy

Henry Peng Zou^*, Wei-Chieh Huang^*, Yaozu Wu^*, Chunyu Miao, Dongyuan Li, Aiwei Liu, Yue Zhou, Yankai Chen, Weizhi Zhang, Yangning Li, Liancheng Fang, Renhe Jiang, et al.

arXiv preprint

2023

Impacts of battery energy storage technologies and renewable integration on the energy transition in the New York State

Wei-Chieh Huang, Qi Zhang, Fengqi You

Advances in Applied Energy

📖 Education

2024.09 - present, Ph.D. in Computer Science, University of Illinois Chicago (UIC), US.
2020.09 - 2022.12, M.S. in Systems Engineering, Cornell University, US.
2013.09 - 2017.06, B.S. in Chemical Engineering, National Taiwan University of Science and Technology (NTUST), Taiwan.

💼 Work Experience

2022.01 - 2023.12, Data Scientist, GEICO, Chevy Chase, MD.