collaborators

6 papers

cs.AI2026

Ego2World: Compiling Egocentric Cooking Videos into Executable Worlds for Belief-State Planning

Qinchuan Cheng, Zhantao Gong, Pengzhan Sun +2

Egocentric videos capture how people carry out everyday activities, yet testing an agent requires evaluating the consequences of actions it chooses itself. We introduce Ego2World,…

cs.CV2026

EgoVine: Post-Training with Branching Experience Compiled from Real-World Videos

Qinchuan Cheng, Bowen Lyu, Zhantao Gong +3

Real-world egocentric videos capture multi-step household procedures, but their recorded trajectories leave alternative actions and recovery from the learner's own mistakes largely…

stat.ML2026

Target-Dependent Limits of Causal Repair: A Leading-Log Frontier in a Gaussian Model

Qinchuan Cheng, Jiaqi Liu, Ruixuan Xie

Knowing how much a causal predictor could improve need not reveal the gain of the repair actually learned. We quantify this gap in a scalar Gaussian causal experiment with known in…

cs.AI2026

Reserve-Aware Contrast Certificates for Conservative Bandits with Uncertain Baselines

Qinchuan Cheng

Conservative bandits must improve an incumbent policy without exhausting a prescribed performance budget. When the incumbent is uncertain, separately bounding candidate and baselin…

cs.AI2026

MAP-Law: Coverage-Driven Retrieval Control for Multi-Turn Legal Consultation

Qinchuan Cheng, Jiaqi Liu, Ruixuan Xie +2

Legal consultation is inherently iterative: before giving advice, a system must identify relevant legal elements, gather missing facts and authorities, and determine whether the cu…

cs.AI2026

Ego2World: Compiling Egocentric Cooking Videos into Executable Worlds for Belief-State Planning

Qinchuan Cheng, Zhantao Gong, Pengzhan Sun +3

Embodied agents in household environments must plan under partial observation: they need to remember objects, track state changes, and recover when actions fail. Existing benchmark…