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Profil bibliographique

Yifei Wang

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

74Publications signalées
712Citations signalées
11Affiliations récentes

Les institutions déclarées

Les domaines associés

Advanced biosensing and bioanalysis techniquesFluid Dynamics and Heat TransferTopic ModelingPhotonic and Optical DevicesSparse and Compressive Sensing Techniques

Les publications récentes

Accès ouvert 2025 preprint OpenAlex

Monet: Reasoning in Latent Visual Space Beyond Images and Language

Qixun Wang, Yang Shi, Yifei Wang, Yuanxing Zhang et autres

"Thinking with images" has emerged as an effective paradigm for advancing visual reasoning, extending beyond text-only chains of thought by injecting visual evidence into intermediate reasoning steps. However, existing methods fall short of human-like abstract visual thinking, as their flexibility is fundamentally …

0 citations arXiv (Cornell University)
Accès ouvert 2025 article OpenAlex

Multi-phase location and capacity planning of electric-hydrogen charging stations with GCN in coupled power-traffic system

Cun Zhang, Yifei Wang, Hanyang Liu, Qing Yuan Zhu et autres

With the rapid development of urban electric–hydrogen coupling systems and the increasing adoption of electric and hydrogen vehicles, the coordinated expansion of integrated charging stations, transportation networks, and hydrogen systems has become a pressing need. This paper proposes a novel methodology that …

cn, us (code pays fourni par la source)

0 citations Applied Energy
Accès ouvert 2025 preprint OpenAlex

SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning

Xiaojun Guo, Runyu Zhou, Yifei Wang, Qi Zhang et autres

Vision-language models (VLMs) have shown remarkable abilities by integrating large language models with visual inputs. However, they often fail to utilize visual evidence adequately, either depending on linguistic priors in vision-centric tasks or resorting to textual shortcuts during reasoning. Although reinforcement learning …

0 citations arXiv (Cornell University)
Accès ouvert 2025 preprint OpenAlex

Selectivity Modulation of Organic Semiconductor Electrophotocatalysis Enables Highly Selective CO2-to-Methanol Conversion

Yanghong Xu, Long Yang, Yifei Wang, Jiaxin Su et autres

Poor efficiency and selectivity have severely hindered the application of CO2 reduction into fuels for achieving carbon neutrality through sustainable energy sources, such as solar light and derived electricity. Herein, we report splendid product selectivity control of CO2RR by newly developed organic-semiconductor-rGO …

cn, kr (code pays fourni par la source)

0 citations ChemRxiv
Accès ouvert 2025 preprint OpenAlex

Selectivity Modulation of Organic Semiconductor Electrophotocatalysis Enables Highly Selective CO2-to-Methanol Conversion

Yanghong Xu, Long Yang, Yifei Wang, Jiaxin Su et autres

Poor efficiency and selectivity have severely hindered the application of CO2 reduction into fuels for achieving carbon neutrality through sustainable energy sources, such as solar light and derived electricity. Herein, we report splendid product selectivity control of CO2RR by newly developed organic-semiconductor-rGO …

cn, kr (code pays fourni par la source)

0 citations ChemRxiv
Accès ouvert 2025 article OpenAlex

Nanometric dual-comb ranging using photon-level microcavity solitons

Zihao Wang, Yifei Wang, Baoqi Shi, Wei Sun et autres

Laser-based absolute distance measurement with low return power, fast measurement speed, high precision, and immunity to intensity fluctuations is highly demanded in applications spanning from nanotechnology to satellite formation. However, achieving all these objectives simultaneously remains a significant challenge for miniaturized systems. …

cn (code pays fourni par la source)

17 citations Nature Communications
Accès ouvert 2025 preprint OpenAlex

Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models?

Yifei Wang, Sheng Yu, Linjing Li, Daniel Dajun Zeng

Recent advances in handling long sequences have facilitated the exploration of long-context in-context learning (ICL). While much of the existing research emphasizes performance improvements driven by additional in-context examples, the influence on the trustworthiness of generated responses remains underexplored. This paper addresses …

0 citations arXiv (Cornell University)

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