Publications (31)
Interplay between superconductivity and pseudogap state in bilayer cuprate superconductors
Yu Lan, Jihong Qin, Shiping Feng
The interplay between the superconducting gap and normal-state pseudogap in the bilayer cuprate superconductors is studied based on the kinetic energy driven superconducting mechan…
Kinetic-energy driven superconductivity in cuprate superconductors
Shiping Feng, Yu Lan, Huaisong Zhao +3
Superconductivity in cuprate superconductors occurs upon charge-carrier doping Mott insulators, where a central question is what mechanism causes the loss of electrical resistance…
Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thought Compression
Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang +5
Recent developments have enabled advanced reasoning in Large Language Models (LLMs) via long Chain-of-Thought (CoT), trading efficiency during inference for performance. Existing w…
LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize Paradigm
Chunhui Wan, Xunan Dai, Zhuo Wang +5
The transition from static Large Language Models (LLMs) to self-improving agents is hindered by the lack of structured reasoning in traditional evolutionary approaches. Existing me…
Asymmetric doping dependence of superconductivity between hole- and electron-doped triangular-lattice superconductors
Yu Lan, Xixiao Ma, Ling Qin +2
Within the framework of kinetic-energy-driven superconductivity, the asymmetric doping dependence of superconductivity between the hole- and electron-doped triangular-lattice super…
Charge dynamics in doped Mott insulators on a honeycomb lattice
Xixiao Ma, Yu Lan, Ling Qin +1
Within the framework of the fermion-spin theory, the charge transport in the doped Mott insulators on a honeycomb lattice is studied by taking into account the pseudogap effect. It…
Fast Nonconvex SDP Solvers for Large-scale Power System State Estimation
Yu Lan, Hao Zhu, Xiaohong Guan
Fast power system state estimation (SE) solution is of paramount importance for achieving real-time decision making in power grid operations. Semidefinite programming (SDP) reformu…
Spin dynamics in the pressure-induced two-leg ladder cuprate superconductor SrCaCuO
Jihong Qin, Yu Lan, Shiping Feng
Within the two-leg -J ladder, the spin dynamics of the pressure-induced two-leg ladder cuprate superconductor SrCaCuO is studied based on the kineti…
Evolution of electron Fermi surface with doping in cobaltates
Xixiao Ma, Yu Lan, Ling Qin +2
The notion of the electron Fermi surface is one of the characteristic concepts in the field of condensed matter physics, and it plays a crucial role in the understanding of the phy…
Doping and temperature dependence of electron spectrum and quasiparticle dispersion in doped bilayer cuprates
Yu Lan, Jihong Qin, Shiping Feng
Within the t-t'-J model, the electron spectrum and quasiparticle dispersion in doped bilayer cuprates in the normal state are discussed by considering the bilayer interaction. It i…
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning
Xiaoming Liu, Zhaohan Zhang, Yichen Wang +3
Machine-Generated Text (MGT) detection, a task that discriminates MGT from Human-Written Text (HWT), plays a crucial role in preventing misuse of text generative models, which exce…
DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection
Guoxin Ma, Xiaoming Liu, Hongyang Chen +6
Detecting machine-generated text has become a critical challenge amid the rapid advancement of LLMs, yet existing detectors degrade severely under domain shift. Through systematic…
Unusual electronic ordering in the pseudogap phase of underdoped cuprate superconductors
Xiang Li, Minghuan Zeng, Yu Lan +2
The pseudogap phase of the underdoped cuprate superconductors harbours diverse manifestations of different ordered electronic-states, and then these ordered electronic-states coexi…
Electronic structure of kinetic energy driven cuprate superconductors
Shiping Feng, Huaiming Guo, Yu Lan +1
In this paper, we review the low energy electronic structure of the kinetic energy driven d-wave cuprate superconductors. We give a general description of the charge-spin separatio…
Dynamical spin response in cuprate superconductors from low-energy to high-energy
Lulin Kuang, Yu Lan, Shiping Feng
Within the framework of the kinetic energy driven superconducting mechanism, the dynamical spin response of cuprate superconductors is studied from low-energy to high-energy. The s…
Robust Approximate Dynamic Programming for Large-scale Unit Commitment with Energy Storages
Yu Lan, Qiaozhu Zhai, Xiaoming Liu +1
The multistage robust unit commitment (UC) is of paramount importance for achieving reliable operations considering the uncertainty of renewable realizations. The typical affine de…
Episodic Memory Temporal Consistency for Cooperative Multi-Agent Reinforcement Learning
Zicheng Zhao, Yu Lan, Chengzhengxu Li +2
Cooperative Multi-Agent Reinforcement Learning (MARL) frequently suffers from severe reward sparsity and exploration bottlenecks. While episodic memory mechanisms mitigate these is…
SL(n) covariant matrix-valued valuations on Lp-spaces
Chunna Zeng, Yu Lan
A complete classification is established for continuous and SL(n) covariant matrix-valued valuations on Lp(Rn,|x|2dx). The assumption of matrix symmetry is eliminated. For n>2, suc…
Renormalization of electrons in bilayer cuprate superconductors
Yiqun Liu, Yu Lan, Yingping Mou +1
The characteristic features of the renormalization of the electrons in the bilayer cuprate superconductors are investigated within the kinetic-energy driven superconductivity. It i…
Momentum and doping dependence of spin excitations in electron-doped cuprate superconductors
Pengfei Jing, Huaisong Zhao, Lulin Kuang +2
Superconductivity in copper oxides emerges on doping holes or electrons into their Mott insulating parent compounds. The spin excitations are thought to be the mediating glue for t…
Electronic structure of kinetic energy driven superconductors in the presence of bilayer splitting
Yu Lan, Jihong Qin, Shiping Feng
Within the framework of the kinetic energy driven superconductivity, the electronic structure of bilayer cuprate superconductors in the superconducting state is studied. It is show…
Doping dependence of superconductivity on a honeycomb lattice within the framework of kinetic-energy-driven superconductivity
Yu Lan, Xian-Feng Yu, Li-Ting Zhang
Unconventional superconductivity on a honeycomb lattice has received increasing interest since the discovery of graphene primarily due to the similarities between materials with a…
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better
Shengchao Liu, Xiaoming Liu, Yichen Wang +5
The burgeoning generative capabilities of large language models (LLMs) have raised growing concerns about abuse, demanding automatic machine-generated text detectors. DetectGPT, a…
StablePT: Towards Stable Prompting for Few-shot Learning via Input Separation
Xiaoming Liu, Chen Liu, Zhaohan Zhang +4
Large language models have shown their ability to become effective few-shot learners with prompting, revolutionizing the paradigm of learning with data scarcity. However, this appr…
Thermodynamic properties in triangular-lattice superconductors
Xixiao Ma, Ling Qin, Huaisong Zhao +2
The study of superconductivity arising from doping a Mott insulator has become a central issue in the area of superconductivity. Within the framework of the kinetic-energy-driven s…
Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning
Chengzhengxu Li, Xiaoming Liu, Yichen Wang +3
Prompt-based pre-trained language models (PLMs) paradigm have succeeded substantially in few-shot natural language processing (NLP) tasks. However, prior discrete prompt optimizati…
Peak-structure in self-energy of cuprate superconductors
Yiqun Liu, Yu Lan, Shiping Feng
The recently deduced normal and anomalous self-energies from photoemission spectra of cuprate superconductors via the machine learning technique are calling for an explanation. Her…
SL(n) covariant vector-valued valuations on Orlicz spaces
Chunna Zeng, Yu Lan
A representation theorem for continuous, SL(n) covariant vector-valued valuations on Orlicz spaces is established. Such valuations are uniquely characterized as moment vectors.
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang +4
Recent advances in prompt optimization have notably enhanced the performance of pre-trained language models (PLMs) on downstream tasks. However, the potential of optimized prompts…
MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment
Shengchao Liu, Xiaoming Liu, Chengzhengxu Li +4
Large Language Models have shown growing ability to generate fluent and coherent texts that are highly similar to the writing style of humans. Current detectors for Machine-Generat…
SL(n) covariant matrix-valued valuations on Orlicz spaces
Chunna Zeng, Yu Lan
All continuous, SL(n) covariant valuations on Orlicz spaces are completely classified without any symmetric assumptions. It is shown that the moment matrix is the only such valuati…