AI Applications

A new dynamic subgroup identification strategy, using covariate-adjusted response-adaptive randomization, efficiently identifies best-performing subgroups in clinical trials, improving resource alloca…

Du-IN: Revolutionizing speech decoding from intracranial neural signals with discrete units-guided mask modeling, achieving state-of-the-art performance on a challenging Chinese word-reading sEEG dat…

Double-Ended Synthesis Planning (DESP) significantly boosts computer-aided synthesis planning by using a bidirectional search, outperforming existing methods on multiple benchmarks, especially when sp…

DMNet: A novel self-comparison driven model significantly improves subject-independent seizure detection from intracranial EEG, outperforming existing methods.

DISC, a novel control policy, disentangles untrusted ML predictions to achieve near-optimal performance when accurate, while guaranteeing competitive ratio bounds even with significant prediction erro…

DisenGCD, a meta multigraph framework, disentangles graph learning for cognitive diagnosis, achieving robust student knowledge assessment.

DP-Attacker unveils diffusion-based policy vulnerabilities by crafting effective adversarial attacks, significantly impacting robot safety and paving the way for more robust AI.

Diffusion Forcing merges next-token prediction and full-sequence diffusion for superior sequence generation.

DiffuserLite: a super-fast diffusion planning framework achieving real-time performance (122Hz).

DiffuPac generates realistic adversarial network packets evading NIDS detection without requiring specific NIDS knowledge, outperforming existing methods.

DiffPhyCon uses diffusion models to generate near-optimal control sequences for complex physical systems, outperforming existing methods by simultaneously optimizing a generative energy function and c…

DiffLight: a novel conditional diffusion model for traffic signal control effectively addresses data-missing scenarios by unifying traffic data imputation and decision-making, demonstrating superior p…

Quantum algorithm achieves super-quadratic speedup for large-scale linear control, offering a novel approach to address the computational challenges of optimizing complex dynamical systems.

Differentiable Modal Synthesis (DMSP) achieves superior accuracy in simulating the dynamic behavior of nonlinear strings, enabling realistic sound and motion synthesis guided by physical laws.

DG-SLAM achieves robust real-time visual SLAM in dynamic scenes using 3D Gaussian splatting and a novel hybrid pose optimization, significantly outperforming existing methods.

Hybrid LLM & rule-based system accurately detects costly smart contract bugs!

Boosting Human-AI teamwork via interactive, explainable AI!

Researchers developed a data-efficient method using conservative model-based optimization to design cell-type-specific promoters for gene therapy, significantly improving cell-type specificity.

DeMo: Decoupling motion forecasting into directional intentions and dynamic states for improved autonomous driving.

DeltaDock: a novel two-stage framework revolutionizes molecular docking by improving accuracy and reliability, achieving a 300% increase in success rate compared to the prior state-of-the-art in blind…