collaborators

7 papers

cs.AI2026

Recursive Environment Scaling for General Long-Horizon Agents

Lingxiao Jing, Zhengbo Jiao, Yichen Xiang +10

We study environment scaling as a way to increase agent-benchmark difficulty while holding core task objectives fixed. Our framework, Recursive Environment Scaling (RES), transform…

cs.LG2026

SLDBench v2: Active Scaling Law Discovery

Lingbei Meng, Rui Huang, Zhirong Shen +5

Scaling laws predict large-model performance from small experiments, but finding a reliable law itself requires costly experiments. SLDBench tests whether language-model agents can…

cs.LG2026

TempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions

Bowen Han, Lingbei Meng, Shihuan Luo +7

Destructive single-cell measurements provide unpaired population snapshots rather than observations of the same cells across conditions. Local cell states and transition requests m…

q-bio.GN2026

Making Single-Cell Data Distillation Auditable: Traceable Real-Cell Coresets via Discrete Min--Max Selection

Yaodi Luo, Peize He, Lingbei Meng +4

Large single-cell datasets are expensive to store, curate, and repeatedly reuse for model training. Data distillation can reduce this burden by building smaller training sets. Howe…

cs.CV2026

WildRoadBench: A Wild Aerial Road-Damage Grounding Benchmark for Vision-Language Models and Autonomous Agents

Bingnan Liu, Chenhang Cui, Rui Huang +7

We introduce WildRoadBench, a wild aerial road-damage grounding benchmark that couples direct visual grounding by vision-language models with autonomous research-and-engineering by…

cs.CV2026

VidNum: Diagnosing VLM Failure Modes in Video-Grounded Numerical Reasoning

Shaoyang Cui, Lingbei Meng, Yaodi Luo +1

Video-grounded numerical reasoning requires Vision-Language Models (VLMs) to identify, track, and combine quantitative evidence across frames, actions, and scene changes. Existing…

cs.CV2024

AugGS: Self-augmented Gaussians with Structural Masks for Sparse-view 3D Reconstruction

Bi'an Du, Lingbei Meng, Wei Hu

Sparse-view 3D reconstruction is a major challenge in computer vision, aiming to create complete three-dimensional models from limited viewing angles. Key obstacles include: 1) a s…