H
Hao Su
Researcher at University of California, San Diego
Publications - 364
Citations - 82843
Hao Su is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Computer science & Point cloud. The author has an hindex of 57, co-authored 302 publications receiving 55902 citations. Previous affiliations of Hao Su include Philips & Jiangxi University of Science and Technology.
Papers
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Proceedings Article
Semantically Robust Unpaired Image Translation for Data With Unmatched Semantics Statistics
TL;DR: This article proposed to enforce the translated outputs to be semantically invariant w.r.t. small perceptual variations of the inputs, a property they call "semantic robustness".
Posted Content
Compositionally Generalizable 3D Structure Prediction.
TL;DR: This paper proposes a novel framework that factorizes the 3D shape reconstruction problem into proper sub-problems, each of which is tackled by a carefully designed neural sub-module with generalizability guarantee and demonstrates superior performance than baseline methods.
Journal ArticleDOI
Factor Fields: A Unified Framework for Neural Fields and Beyond
TL;DR: Factor Fields as mentioned in this paper decomposes a signal into a product of factors, each of which is represented by a neural or regular field representation operating on a coordinate transformed input signal, which leads to improvements over previous fast reconstruction methods in terms of the three critical goals in neural signal representation.
Proceedings ArticleDOI
Interaction Force Modeling for Joint Misalignment Minimization Toward Bio-Inspired Knee Exoskeleton Design
TL;DR: This paper presents a new approach to tackle the joint misalignment problems of conventional rigid exoskeletons by using complex mechanisms (e.g. cam mechanism or five-bar linkage) to compensate the inertia and render low impedance to the wearers.
Journal ArticleDOI
Recent progress in exploiting small molecule peptides as supramolecular hydrogelators
TL;DR: This review surveys the literature published over the past three years in the development of peptide-based hydrogelators for biomedical applications and highlights several representative examples, focusing on the fundamentals of molecular design, assembly, and gelation conditions.