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Feifei Chen

15 accepted papers

2026

EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation

AAAI 2026technical

Vision Transformers (ViTs) have gained significant attention and widespread adoption due to their impressive performance in various computer vision tasks. However, in practice, their substantial computational overhead often leads to high inference latency and increased overheads when deployed on res

Cited by 0SourcePDFScholar
2026

LoPrune: Efficient Data Pruning for LoRA-Based Fine-Tuning of Vision Transformer

CVPR 2026

Visual models are deployed on many Internet-of-Things (IoT) devices to power a variety of visual applications at the network edge. These models often need to be fine-tuned on-device continually to adapt to changing operating environments timely. However, the computing and energy overheads incurred a

Cited by 0SourceScholar
2026

NuWa: Deriving Lightweight Class-Specific Vision Transformers for Edge Devices

CVPR 2026

Vision Transformers (ViTs) often need to be compressed for deployment on resource-constrained edge devices like drones and smart vehicles. However, existing model compression methods ignore that many edge devices only require the knowledge of specific classes for their applications. As a result, the

Cited by 0SourcecodeScholar
2026

SuckTac: Camera-Based Tactile Sucker for Unstructured Surface Perception and Interaction

ICRA 2026poster

Suckers are significant for robots in picking, transferring, manipulation and locomotion on diverse surfaces. However, conventional suckers lack high-fidelity tactile perception, which impedes them from resolving the fine-grained geometric features and interaction status of the target surface. This …

2026

Vulcan: Crafting Compact Class-Specific Vision Transformers For Edge Intelligence

ICLR 2026poster

Large Vision Transformers (ViTs) must often be compressed before they can be deployed on resource-constrained edge devices. However, many edge devices require only part of the *all-classes* knowledge of a pre-trained ViT in their corresponding application scenarios. This is overlooked by existing c…

Cited by 0SourcecodeScholar
2025

Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse

NeurIPS 2025poster

KV cache technology, by storing key-value pairs, helps reduce the computational overhead incurred by *large language models* (LLMs). It facilitates their deployment on resource-constrained edge computing nodes like edge servers. However, as the complexity and size of tasks increase, KV cache usage l…

Cited by 0SourcecodeScholar
2024

Design and Kinematic Modeling of a Pneumatic Soft Bellow-Type Wrist

RA-L 2024

In this letter, we aim to develop an efficient and accurate kinematic model of a soft wrist that consists of pneumatic bellows configured in parallel, toward dexterous manipulation in confined space. The challenge arises from the distributed nature and deformation-dependency of the generated pneumat

Cited by 8SourceScholar
2022

Triply Periodic Channels Enable Soft Pneumatic Linear Actuator With Single Material and Scalability

RA-L 2022

In this letter, we propose a new class of soft pneumatic linear actuators with single-material, uniaxial deformation, high energy density, and scalability, purely based on periodic curved air channels. The shape of channels is implicitly parameterized by modified triply periodic minimal surfaces (mT

Cited by 12SourceScholar
2019

Buckling-induced Shape Morphing using Dielectric Elastomer Actuators Patterned with Spatially-varying Electrodes

IROS 2019poster

Shape morphing is at the core of future research, which shows promise for wide applications ranging from reconfigurable electronics to soft material robots. In this paper, we present a novel buckling-induced mechanism for shape morphing using dielectric elastomer actuators (DEAs), by bonding the pla…

Cited by 7SourceScholar
2018

Modelling and Control of a Novel Soft Crawling Robot Based on a Dielectric Elastomer Actuator

ICRA 2018poster

Soft robots have recently evoked extensive attention due to their abilities to work effectively in unstructured environments. As an actuation technology of soft robots, dielectric elastomers exhibit many intriguing attributes such as large strain and high energy density. This work presents a novel d…

Cited by 34SourceScholar
2018

Topology Optimized Design, Fabrication, and Characterization of a Soft Cable-Driven Gripper

RA-L 2018

Soft-bodied robots, due to their intrinsic compliance, have shown great potential for operating within unstructured environment and interacting with unknown objects. This letter deals with automatic design and fabrication of soft robots. From a structure point of view, we synthesize a soft cable-dri

Cited by 125SourceScholar
2017

Design and development of a soft gripper with topology optimization

IROS 2017poster

Soft robots, primarily made out of intrinsically soft materials, have flourished greatly in the past decade due to their advantages such as flexibility and adaptability over rigid-bodied robots. A rich repertoire of soft robots designed from intuitive or biomimetic approaches have been developed to…

Cited by 66SourceScholar
2017

Networked soft actuators with large deformations

ICRA 2017poster

Soft actuators play an important role in producing motions in soft robots, and dielectric elastomers have shown great promise because of their considerable voltage-induced deformation. In particular, air-filled dielectric elastomer actuators have been well studied, where the air inside provides pres…

Cited by 12SourceScholar