collaborators

14 papers

cs.CR2026

CascadeLedger: Counterfactual Auditing of Information and Resource Integrity in LLM Cascades

Miaobo Hu, Shuhao Hu, Xiaobo Guo +4

We introduce CascadeLedger, a counterfactual execution-audit framework for budgeted language-model cascades. The protocol enforces call-before-read semantics, binds successful read…

eess.SY2026

FedRIC: Heterogeneity-Aware Federated Learning with Hard Deadline Constraints in Open RAN

Adhwaa Al-Chaab, Ayman Younis, Dario Pompili

Open Radio Access Networks (O-RANs) bring intelligence to disaggregated RANs through virtualized platforms and open interfaces, but the stringent latency budgets of the RAN Intelli…

cs.SD2026

Quantizer Redundancy and Exact Index Recoding in a Frozen Neural Audio Codec

Youssef Hemimy

Residual scalar quantization can produce highly dependent indices when successive stages reuse identical, unscaled grids. This case study examines that behavior in a frozen neural…

cs.AI2026

FSPO: Policy-Consistent Risk and Pareto-Feasible Control for Budgeted LLM RL Post-Training

Miaobo Hu, Shuhao Hu, Xiaobo Guo +4

Adaptive LLM reinforcement-learning post-training changes multiple training actuators online, including rollout temperature, group size, clipping, KL regularization, verifier alloc…

cs.AI2026

ROUTEAUDIT: Interaction-Aware Identification for Budgeted Multi-Verifier Routing

Miaobo Hu, Shuhao Hu, Xiaobo Guo +5

Adaptive multi-verifier systems are commonly compared through endpoint quality-cost gaps, even when the verifier catalog, availability, accounting, information filtration, or score…

cs.LG2026

VStress: Correlation-Aware Auditing and Adaptive Budget Allocation for Repeated Verifiers

Miaobo Hu, Shuhao Hu, Xiaobo Guo +5

Repeated verifier calls are useful only when they contribute conditional information. We introduce VStress, an auditable replay contract, and VStress-CA, a correlation-aware alloca…

cs.AI2026

RSD-Poker: Structure-Adaptive and Shift-Robust Risk-Utility Certification for Residual Policies in Imperfect-Information Games

Miaobo Hu, Shuhao Hu, Xiaobo Guo +5

Residual policy adaptation provides a lightweight way to modify a strong reference policy, but a shared scale and a fixed subgroup partition can hide heterogeneous degradation and…

cs.AI2026

Audit-First VAPO: Risk-Certified Selective Updates under Imperfect Verification

Miaobo Hu, Shuhao Hu, Xiaobo Guo +5

Imperfect verifiers can assign a harmful update direction even when clipping and regularization bound its magnitude. We introduce Audit-First VAPO, which separates discrete directi…

cs.AI2026

OSCC: Certified Observation-Safe Coupling Optimization for Gradient-Noise Control in Imperfect-Information Learning

Miaobo Hu, Shuhao Hu, Xiaobo Guo +5

Coupled rollouts can reduce the noise of counterfactual action comparisons, but two issues prevent standard common-random-number constructions from serving as a general learning pr…

cs.AI2026

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text

Miaobo Hu, Xiaobo Guo, Shuhao Hu +5

Schema graphs are an upstream bottleneck of schema-grounded information extraction and knowledge graph construction, yet most extraction systems assume the schema is already availa…

cs.AI2026

ECPO: Evidence-Coupled Policy Optimization for Verifier-Audited Candidate Ranking

Miaobo Hu, Shuhao Hu, BoKun Wang +5

Ranking systems used for decision support should expose evidence that can be audited independently of the model's ranking scores. We study a closed-roster setting in which a policy…

cs.LG2026

AGPO: Adaptive Group Policy Optimization with Dual Statistical Feedback

Miaobo Hu, Shuhao Hu, Bokun Wang +5

Reinforcement learning improves LLM reasoning, but PPO/GRPO typically use fixed clipping and decoding temperature, which makes training brittle and tuning-heavy. We propose Adaptiv…

cs.CV2026

SAVER: Selective As-Needed Vision Evidence for Multimodal Information Extraction

Miaobo Hu, Shuhao Hu, Bokun Wang +5

Multimodal IE in social media is difficult because a post may attach multiple images that are weakly related, redundant, or even misleading with respect to the text. In this settin…

eess.SP2024

Unsupervised Attention-Based Multi-Source Domain Adaptation Framework for Drift Compensation in Electronic Nose Systems

Wenwen Zhang, Shuhao Hu, Zhengyuan Zhang +3

Continuous, long-term monitoring of hazardous, noxious, explosive, and flammable gases in industrial environments using electronic nose (E-nose) systems faces the significant chall…