activity
20212026
most citedINTERN: A New Learning Paradigm Towards General Vision

10 citations · 17 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2026

CompanionBench: A Theory-Anchored, Real-World-Grounded Benchmark for AI Emotional Companionship

Yao Liu, Guangjia Chai, Yuming Huang +3

LLM companions are deployed at scale in personally consequential settings, yet poorly evaluated. Existing benchmarks use hand-authored scenarios and prompted simulators, aggregate…

cs.CL2026

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm

Yuming, Huang, Yao Liu +3

Benchmarking is mature where answers are verifiable -- math, code, reasoning -- but the fastest-growing uses of LLMs are subjective and human-facing: companionship, emotional suppo…

cs.RO2026

SignNav: Leveraging Signage for Semantic Visual Navigation in Large-Scale Indoor Environments

Jian Sun, Yuming Huang, He Li +6

Humans routinely leverage semantic hints provided by signage to navigate to destinations within novel Large-Scale Indoor (LSI) environments, such as hospitals and airport terminals…

cs.RO2025

SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles

Haicheng Liao, Hanlin Kong, Bin Rao +7

Accurate motion forecasting is essential for the safety and reliability of autonomous driving (AD) systems. While existing methods have made significant progress, they often overlo…

cs.RO2025

Learning Orientation Field for OSM-Guided Autonomous Navigation

Yuming Huang, Wei Gao, Zhiyuan Zhang +4

OpenStreetMap (OSM) has gained popularity recently in autonomous navigation due to its public accessibility, lower maintenance costs, and broader geographical coverage. However, ex…

cs.RO2023★ 1 cited

MRHER: Model-based Relay Hindsight Experience Replay for Sequential Object Manipulation Tasks with Sparse Rewards

Yuming Huang, Bin Ren, Ziming Xu +1

Sparse rewards pose a significant challenge to achieving high sample efficiency in goal-conditioned reinforcement learning (RL). Specifically, in sequential manipulation tasks, the…

cs.CV2023

Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map

Yuming Huang, Yi Gu, Chengzhong Xu +1

In most urban and suburban areas, pole-like structures such as tree trunks or utility poles are ubiquitous. These structural landmarks are very useful for the localization of auton…

cs.CV2022★ 6 cited

MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation

Yi Gu, Yuming Huang, Chengzhong Xu +1

Range-view based LiDAR segmentation methods are attractive for practical applications due to their direct inheritance from efficient 2D CNN architectures. In literature, most range…

cs.CV2021★ 10 cited

INTERN: A New Learning Paradigm Towards General Vision

Jing Shao, Siyu Chen, Yangguang Li +24

Enormous waves of technological innovations over the past several years, marked by the advances in AI technologies, are profoundly reshaping the industry and the society. However,…