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Ming Li

8 papers indexed

arxivcs.AIcs.MA2026-07-09

Agentic Context Learning with Self-Discovered Specification

Jike Zhong, Ming Li, Yuxiang Lai, Ziyan Yang, Jingyu Xie, Jihyung Kil, et al.

Context learning is an emerging inference-time task where LLMs must learn and apply novel, task-specific knowledge from intricate contexts absent from pre-training; even frontier models score under 24% task success. In this work, we conduct a comprehensive empirical study to unde…

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arxiveess.SP2026-07-06

Multiuser MIMO-AFDM Beamforming for ISAC in Doubly Dispersive Channels

Rang Liu, Ming Li, A. Lee Swindlehurst, Norman Franchi, Robert Schober

Integrated sensing and communication (ISAC) in high-mobility channels requires waveform and beamforming designs that are robust to delay-Doppler dispersion. With this in mind, in this paper we study a monostatic multiuser multiple-input multiple-output (MIMO) affine frequency div…

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arxiveess.SP2026-07-01

Evolving Intelligent Complex Systems via Intellicise Networks: Architecture, Technologies, and Pathways

Ping Zhang, Rui Meng, Xiaodong Xu, Song Gao, Zixuan Huang, Yaheng Wang, et al.

Future engineering infrastructures are evolving into large-scale, open, heterogeneous, and wirelessly interconnected complex systems. These systems present significant challenges in optimizing network resource utilization, managing high-dimensional information spaces, and accommo…

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arxivcs.CLcs.AIcs.CYcs.LG2026-06-26

Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction

Chenguang Wang, Ming Li, Xinyue Zeng, Zhuochun Li, Hong Jiao, Tianyi Zhou, et al.

Predicting human item difficulty is central to educational assessment, where reliable estimates support fairness and effective test construction. Existing methods often depend on costly human calibration or item-level textual representations, providing limited evidence about the…

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arxivcs.AIcs.CLcs.IR2026-06-25

AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems

Changxin Lao, Fei Pan, Guozhuang Ma, Han Li, Huihuang Lin, Jijun Shi, et al.

Recommendation algorithm iteration is moving from an artisanal, engineer-bound process toward an industrialized research loop, but this transition remains blocked by a structural execution bottleneck: the idea-to-launch cycle still depends on human engineers to generate hypothese…

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crossrefSensors2023-07-28Cited by 17

Fine-Grained 3D Modeling and Semantic Mapping of Coral Reefs Using Photogrammetric Computer Vision and Machine Learning

Jiageng Zhong, Ming Li, Hanqi Zhang, Jiangying Qin

Corals play a crucial role as the primary habitat-building organisms within reef ecosystems, forming expansive structures that extend over vast distances, akin to the way tall buildings define a city’s skyline. However, coral reefs are vulnerable to damage and destruction due to…

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