About
SHT 1 · GENI am a Ph.D. student at Yale CS, co-advised by Professors Rex Ying and David van Dijk in the Graph & Geometric Learning Lab and van Dijk Lab.
My research interests lie at the intersection of LLM agents, multi-agent systems, and efficient LLM adaptation and inference (MoE, LoRA, KV cache), together with memory management and retrieval-augmented generation. Previously I worked on AutoML, OOD generalization, causal discovery, and graph learning, with applications in biochemistry and biomedicine.
Before Yale, I received my Master's degree from Tsinghua University, advised by Prof. Wenwu Zhu, and was fortunate to intern with Menghua Wu in the Regina Barzilay Group at MIT CSAIL, and also at Alibaba Cloud under the Alibaba Innovative Research Program.
News
SHT 2 · LOGMoRSE is now on arXiv — our task-oriented multi-agent system with a mixture of role-subtask experts, specializing agents at both the task-structure and parameter levels for complex, long-horizon coding tasks.
Started my Ph.D. at Yale, joining the Graph & Geometric Learning Lab and the van Dijk Lab.
Earlier entries · pre-Ph.D.
Received my Master's degree from Tsinghua University.
CARNAS was accepted to KDD 2025.
One paper accepted to the NeurIPS 2024 AIDrugX workshop, from my internship at MIT CSAIL.
Publications
SHT 3 · IDX 07
MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts
Peiwen Li, Shiyang Zhang, Yangtian Zhang, Sizhuang He, David van Dijk, Rex Ying
NumCache: Number-Preserving KV Cache Compression with Contrastive Retrieval for Financial Document QA
Eftychia Makri, Peiwen Li, Yidong Jiang, Junrong Chen, Jialin Chen, Ali Maatouk, Leandros Tassiulas, Eliot Brenner, Bing Xiang, Rex Ying
Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings
Yidong Jiang, Junrong Chen, Eftychia Makri, Jialin Chen, Peiwen Li, Ali Maatouk, Leandros Tassiulas, Eliot Brenner, Bing Xiang, Rex Ying
Causal-aware Graph Neural Architecture Search under Distribution Shifts
Peiwen Li, Xin Wang, Zeyang Zhang, Ziwei Zhang, Fang Shen, Jialong Wang, Yang Li, Wenwu Zhu
Learning to Refine Domain Knowledge for Biological Network Inference
Peiwen Li, Menghua Wu
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenwu Zhu
Causal Discovery in Temporal Domain from Interventional Data
Peiwen Li, Yuan Meng, Xin Wang, Fang Shen, Yue Li, Jialong Wang, Wenwu Zhu
Experience
SHT 4 · RECYale University · Graduate Research Assistant
Graph & Geometric Learning Lab and van Dijk Lab, with Prof. Rex Ying and Prof. David van Dijk.
MIT CSAIL · Research Intern
Regina Barzilay group, with Menghua Wu — amortized inference for biological network inference.
Alibaba Cloud · Research Intern
Alibaba Innovative Research Program — causal-discovery-based anomaly detection for AIOps.
Awards & service
SHT 5 · APPConference reviewer — NeurIPS, ACM SIGKDD, ACM MM
Journal reviewer — IEEE TPAMI, Pattern Recognition