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Jin Pan

7 accepted papers

2026

Constitutional Classifiers++: Production-Grade Defenses against Universal Jailbreaks

ICLR 2026poster

We introduce enhanced Constitutional Classifiers that deliver production-grade jailbreak robustness with dramatically reduced computational costs and refusal rates compared to previous-generation defenses. We first identify vulnerabilities in existing systems that evaluate model outputs without rega…

Cited by 0SourceScholar
2026

SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding

ICML 2026poster

Speculative decoding mitigates the memory-bound nature of LLM decoding by using a lightweight draft model to propose multiple tokens for parallel verification. However, its adoption has been limited by the lack of high-quality draft models and scalable training infrastructure. We introduce SpecForge…

Cited by 0SourceScholar
2025

GMMCL: Adaptive Concept Drift in Data Streams with Gaussian Mixture Models based on Contrastive Learning

ICASSP 2025accepted

Classical classification methods often fail in dynamic environments where data distributions shift over time, known as concept drift. Applications like flight delay prediction and weather forecasting require handling such dynamic data streams. Concept drift can be either virtual, affecting unconditi…

Cited by 0SourceScholar
2022

Generalized 3D Rigid Point Set Registration with Anisotropic Positional Error Based on Bayesian Coherent Point Drift

ICRA 2022poster

This paper presents a novel, robust, and accurate three-dimensional (3D) rigid point set registration (PSR) method, which is achieved by generalizing the state-of-the-art (SOTA) Bayesian coherent point drift (BCPD) theory to the scenario that high-dimensional point sets(PSs) are aligned and that the…

Cited by 5SourceScholar
2021

A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition

ICRA 2021poster

Human activities are hugely restricted by COVID-19, recently. Robots that can conduct inter-floor navigation attract much public attention since they can substitute human workers to conduct the service work. However, current robots either depend on human assistance or elevator retrofitting, and full…

Cited by 13SourcecodeScholar
2021

Robust and Accurate Point Set Registration with Generalized Bayesian Coherent Point Drift

IROS 2021poster

Point set registration (PSR) is an essential problem in surgical navigation and image-guided surgery (IGS). It can help align the pre-operative volumetric images with the intra-operative surgical space. The performances of PSR are susceptible to noise and outliers, which are the cases in real-world…

Cited by 6SourceScholar
2019

Robust Non-Rigid Point Set Registration Algorithm Considering Anisotropic Uncertainties Based on Coherent Point Drift

IROS 2019poster

Non-rigid point set registration (PSR) is an outstanding and fundamental problem in fields of robotics, computer vision, medical image analysis and imageguided surgery. The aim of a non-rigid registration problem is to align together two point sets that have been deformed. We have derived and presen…

Cited by 8SourceScholar