1.5k citations · 3.5k across the 47 of their papers we have counts for
9 papers · 1 filter
An experimental approach to mapping chemical bonds in nanostructured materials
Philip N. H. Nakashima, Ding Peng, Xiaofen Tan +5
We introduce a number of techniques in quantitative convergent-beam electron diffraction under development by our group and discuss the basis for measuring interatomic electrostati…
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
Xiaoxue Chen, Tianyu Liu, Hao Zhao +2
Multi-task indoor scene understanding is widely considered as an intriguing formulation, as the affinity of different tasks may lead to improved performance. In this paper, we tack…
A novel similarity measure for mining missing links in long-path networks
Yijun Ran, Tianyu Liu, Tao Jia +1
Network information mining is the study of the network topology, which answers a large number of application-based questions towards the structural evolution and the function of a…
Hierarchical Curriculum Learning for AMR Parsing
Peiyi Wang, Liang Chen, Tianyu Liu +4
Abstract Meaning Representation (AMR) parsing aims to translate sentences to semantic representation with a hierarchical structure, and is recently empowered by pretrained sequence…
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling
Peiyi Wang, Runxin Xu, Tianyu Liu +4
Few-Shot Sequence Labeling (FSSL) is a canonical paradigm for the tagging models, e.g., named entity recognition and slot filling, to generalize on an emerging, resource-scarce dom…
Analytic solution to pseudo-Landau levels in strongly bent graphene nanoribbons
Tianyu Liu, Hai-Zhou Lu
Nonuniform elastic strain is known to induce pseudo-Landau levels in Dirac materials. But these pseudo-Landau levels are hardly resolvable in an analytic fashion when the strain is…
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
Peiyi Wang, Runxin Xu, Tianyu Liu +3
Few-Shot Event Classification (FSEC) aims at developing a model for event prediction, which can generalize to new event types with a limited number of annotated data. Existing FSEC…
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues
Qingxiu Dong, Ziwei Qin, Heming Xia +9
It is a common practice for recent works in vision language cross-modal reasoning to adopt a binary or multi-choice classification formulation taking as input a set of source image…
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation
Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma +7
Standard automatic metrics, e.g. BLEU, are not reliable for document-level MT evaluation. They can neither distinguish document-level improvements in translation quality from sente…