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Chao Lin

7 accepted papers

2026

From Woofs to Words: Towards Intelligent Robotic Guide Dogs with Verbal Communication

AAAI 2026technical

Assistive robotics is an important subarea of robotics that focuses on the well-being of people with disabilities. A robotic guide dog is an assistive quadruped robot for assisting visually impaired people in obstacle avoidance and navigation. Enabling language capabilities on robotic guide dogs goe

Cited by 0SourcePDFScholar
2025

Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning

ICML 2025poster

Secure Aggregation (SA) is a cornerstone of Federated Learning (FL), ensuring that user updates remain hidden from servers. The advanced Flamingo (S\&P'23) has realized multi-round aggregation and improved efficiency. However, it still faces several key challenges: scalability issues with dynamic us…

Cited by 0SourcePDFScholar
2025

Parameter Selections and Applications for Soft Bellows Actuators (SBAs) with Various Performance Metrics

IROS 2025

Soft bellows actuators (SBAs), a particular type of soft pneumatic actuators (SPAs), are widely used in various applications, such as climbing robots, industrial grippers, and wearable devices. Despite their advantages of uniform motion and high efficiency, the design of SBAs often relies on experie

Cited by 0SourceScholar
2025

Semi-Supervised Multilingual Alignment with Lexical Memory for Massively Parallel Text Mining

ICASSP 2025accepted

Existing state-of-the-art techniques that employ multilingual sentence embeddings for mining parallel texts predominantly rely on extensive supervision, which often results in sub-optimal performance in the absence of large-scale parallel training datasets. In this study, we introduce a novel method…

Cited by 0SourceScholar
2024

Pre-Trained Acoustic-and-Textual Modeling for End-To-End Speech-To-Text Translation

ICASSP 2024accepted

End-to-end paradigm has aroused more and more interests and attention for improving speech-to-text translation (ST) recently. Existing end-to-end models mainly attributes and attempts to address the problem of modeling burden and data scarcity, while always fail to maintain both cross-modal and cros…

Cited by 0SourceScholar
2022

RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on

IJCAI 2022poster

Virtual try-on (VTON) aims at fitting target clothes to reference person images, which is widely adopted in e-commerce. Existing VTON approaches can be narrowly categorized into Parser-Based (PB) and Parser-Free (PF) by whether relying on the parser information to mask the persons’clothes and synthe…

2021

A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation

EMNLP 2021finding

Multi-hop relation detection in Knowledge Base Question Answering (KBQA) aims at retrieving the relation path starting from the topic entity to the answer node based on a given question, where the relation path may comprise multiple relations. Most of the existing methods treat it as a single-label…

Cited by 3SourcePDFScholar