activity
20092026
most citedTheory Support for the Excited Baryon Program at the Jlab 12 GeV Upgrade

26 citations · 32 across the 26 of their papers we have counts for

collaborators

28 papers

cs.CV2026

Diagnosing Under-Development of Irreversible Processes in Video Generation

Jian Xu, Yanning Wu, Delu Zeng +2

Many physical attributes are \emph{irreversible}: ice melts but does not re-freeze, paper chars but does not un-burn. Do video generators respect this? We show the question is hard…

cs.CV2026

Look Again Before You Abstain:Budgeted Conformal Evidence Acquisition for Reliable Vision-Language Model

Jian Xu, Yanning Wu, Delu Zeng +2

Large vision-language models (LVLMs) hallucinate: they assert visual details that the image does not support. A principled remedy is selective prediction with a distribution-free g…

cs.LG2026

When Can You Debias an LLM Judge? Identifiability Limits, a Test, and Designs for Top-k Ranking

Jian Xu, Delu Zeng, John Paisley +1

Large language models (LLMs) are increasingly used as cheap, scalable judges that compare candidate outputs pairwise. Because such judges prefer verbose or well-formatted answers,…

quant-ph2026

SQGen: Structured Quantum Image Generation with Latent-Modulated Quantized Tensor Trains

Guang Lin, Qibin Zhao

Generating images directly from quantum systems is an attractive but unresolved goal on NISQ hardware. Existing quantum generators face several coupled obstacles: barren plateaus t…

quant-ph2026

Fixed-Protocol Amortized MPS Tomography with Conformalized Predictive Uncertainty

Jian Xu, Delu Zeng, John Paisley +1

Quantum state tomography is sample-starved, and the states one prepares live on a narrow, learnable manifold. A prior-only control shows that on concentrated families a pri…

quant-ph2026

Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions

Jian Xu, Delu Zeng, John Paisley +1

Parameterized quantum circuits (PQCs) are increasingly used as policies and value functions in quantum reinforcement learning, yet it remains unclear when and why quantum policies…