Nankai University

4 related articles

arXiv Oct 12, 2026
Ad creatives stop being redrawn whole: editing only the attributes that drag clicks lifts CTR 6.86% over 20 million impressions
E-commerce ad image optimization moves from regenerating the whole creative to fine-grained attribute editing: 28 click-sensitive visual attributes are selected, editing suggestions are aligned to real click preferences, and a one-week online test over roughly 20 million impressions lifts aggregate CTR by 6.86%.
Nankai University
Preference Optimization Multimodal Large Language Model Image Editing Fine-tuning
arXiv Oct 8, 2026
Position Forcing recovers token positions from VecSet latents and quantizes them progressively, reaching best or tied-best ULIP and Uni3D scores for single-stage 3D generation
Observing that VecSet latent tokens retain recoverable spatial correspondences, the work proposes Position Forcing: during denoising it recovers token positions from the predicted clean latent, quantizes them at progressively finer resolutions according to the noise level, and feeds them back to the diffusion Transformer through 3D RoPE, providing coarse-to-fine spatial guidance for single-stage 3D generation without a separate position generation stage and achieving best or tied-best results on all four ULIP and Uni3D metrics.
Observing that VecSet latent tokens retain recoverable spatial correspondences, the work proposes Position Forcing: during denoising it recovers token positions from the predicted clean latent, quantizes them at progressively finer resolutions according to the noise level, and feeds them back to the diffusion Transformer through 3D RoPE, providing coarse-to-fine spatial guidance for single-stage 3D generation without a separate position generation stage and achieving best or tied-best results on all four ULIP and Uni3D metrics.
Fudan University Shanghai Innovation Institute Nankai University
Variational Autoencoder Flow Matching 3D Generation Diffusion Transformer Position Forcing
ACM Internet Measurement Conference (IMC) Sep 29, 2026
Nankai University team's 362-day Internet-wide scan finds exposed Ollama endpoints grew 53.3% in a year while only 0.43%–2.90% of below-fix IPs upgraded in place
Using XMap to probe port 11434 across the full IPv4 space daily from 2025-02-14 to 2026-02-13 over 362 observed days, a Nankai University team found 152,137 cumulative exposed Ollama endpoints, with daily alive endpoints rising from 10,473 to 16,059 (+53.3%), 26.4% of IPs appearing on a single day, only 0.43%–2.90% of below-fix IPs upgrading in place across five CVE cutoffs, the top five countries/regions holding about 70% of weighted observations, and the top five ASNs all cloud or hosting providers, complemented by PTR and port-443 TLS probing of operational characteristics.
Using XMap to probe port 11434 across the full IPv4 space daily from 2025-02-14 to 2026-02-13 over 362 observed days, a Nankai University team found 152,137 cumulative exposed Ollama endpoints, with daily alive endpoints rising from 10,473 to 16,059 (+53.3%), 26.4% of IPs appearing on a single day, only 0.43%–2.90% of below-fix IPs upgrading in place across five CVE cutoffs, the top five countries/regions holding about 70% of weighted observations, and the top five ASNs all cloud or hosting providers, complemented by PTR and port-443 TLS probing of operational characteristics.
Nankai University Zuyao Xu Lu Sun Yuqi Qiu Xiang Li
IPv6, Mobility, Handover, Networks, Security Spam and Phishing Detection ICT in Developing Communities
Chemical Communications Sep 15, 2026
Rational design of advanced electrocatalysts based on reactivity descriptors for high-performance lithium-sulfur batteries
This review organizes lithium-sulfur battery catalyst research around the fundamental chemistry of sulfur conversion and its rate-limiting steps, links catalyst modulation strategies to descriptors, groups descriptors into electronic, thermodynamic, and structural categories with their property-performance relationships, and points toward universal descriptors as well as the potential roles of in situ characterization, computational modeling, and artificial intelligence in descriptor construction and the design of highly active catalysts.
This review organizes lithium-sulfur battery catalyst research around the fundamental chemistry of sulfur conversion and its rate-limiting steps, links catalyst modulation strategies to descriptors, groups descriptors into electronic, thermodynamic, and structural categories with their property-performance relationships, and points toward universal descriptors as well as the potential roles of in situ characterization, computational modeling, and artificial intelligence in descriptor construction and the design of highly active catalysts.
Central South University Fudan University Nankai University Hainan University North China Electric Power University State Key Laboratory of Powder Metallurgy Jianghao Liang Xiaorui Liu Hao Li Ziyi Wang Haozhi Wang Qingyu Li

You’re all caught up

Ad creatives stop being redrawn whole: editing only the attributes that drag clicks lifts CTR 6.86% over 20 million impressions

Position Forcing recovers token positions from VecSet latents and quantizes them progressively, reaching best or tied-best ULIP and Uni3D scores for single-stage 3D generation

Nankai University team's 362-day Internet-wide scan finds exposed Ollama endpoints grew 53.3% in a year while only 0.43%–2.90% of below-fix IPs upgraded in place

Rational design of advanced electrocatalysts based on reactivity descriptors for high-performance lithium-sulfur batteries