Search Results for author: Songlin Yang

Found 19 papers, 12 papers with code

Beyond Inserting: Learning Identity Embedding for Semantic-Fidelity Personalized Diffusion Generation

no code implementations31 Jan 2024 Yang Li, Songlin Yang, Wei Wang, Jing Dong

The previous methods either failed to accurately fit the face region or lost the interactive generative ability with other existing concepts in T2I models.

Image Generation

Is It Possible to Backdoor Face Forgery Detection with Natural Triggers?

no code implementations31 Dec 2023 Xiaoxuan Han, Songlin Yang, Wei Wang, Ziwen He, Jing Dong

To further investigate natural triggers, we propose a novel analysis-by-synthesis backdoor attack against face forgery detection models, which embeds natural triggers in the latent space.

Backdoor Attack backdoor defense

Learning Dense Correspondence for NeRF-Based Face Reenactment

no code implementations16 Dec 2023 Songlin Yang, Wei Wang, Yushi Lan, Xiangyu Fan, Bo Peng, Lei Yang, Jing Dong

Therefore, we are inspired to ask: Can we learn the dense correspondence between different NeRF-based face representations without a 3D parametric model prior?

Face Reenactment

Gated Linear Attention Transformers with Hardware-Efficient Training

2 code implementations11 Dec 2023 Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim

When used as a replacement for the standard attention layer in Transformers, the resulting gated linear attention (GLA) Transformer is found to perform competitively against the LLaMA-architecture Transformer (Touvron et al., 2023) as well recent linear-time-inference baselines such as RetNet(Sun et al., 2023a) and Mamba (Gu & Dao, 2023) on moderate-scale language modeling experiments.

Language Modelling

Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks

1 code implementation26 Oct 2023 Zhaohui Yan, Songlin Yang, Wei Liu, Kewei Tu

Also, most of current ERE models do not take into account higher-order interactions between multiple entities and relations, while higher-order modeling could be beneficial. In this work, we propose HyperGraph neural network for ERE ($\hgnn{}$), which is built upon the PL-marker (a state-of-the-art marker-based pipleline model).

Joint Entity and Relation Extraction NER +1

Simple Hardware-Efficient PCFGs with Independent Left and Right Productions

1 code implementation23 Oct 2023 Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu

Scaling dense PCFGs to thousands of nonterminals via a low-rank parameterization of the rule probability tensor has been shown to be beneficial for unsupervised parsing.

Constituency Grammar Induction Language Modelling

Designing a 3D-Aware StyleNeRF Encoder for Face Editing

no code implementations19 Feb 2023 Songlin Yang, Wei Wang, Bo Peng, Jing Dong

For more flexible face manipulation, we then design a dual-branch StyleFlow module to transfer the StyleNeRF codes with disentangled geometry and texture flows.

Attribute Face Model +1

Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models

no code implementations30 May 2022 Songlin Yang, Wei Wang, Chenye Xu, Ziwen He, Bo Peng, Jing Dong

These fine-grained adversarial examples can be used for selecting robust backbone networks and auxiliary features.

Adversarial Attack Adversarial Robustness +1

Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing

1 code implementation ACL 2022 Chao Lou, Songlin Yang, Kewei Tu

They treat nested entities as partially-observed constituency trees and propose the masked inside algorithm for partial marginalization.

Constituency Parsing Entity Typing +4

Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks

1 code implementation ACL 2022 Songlin Yang, Kewei Tu

Constituency parsing and nested named entity recognition (NER) are similar tasks since they both aim to predict a collection of nested and non-crossing spans.

Constituency Parsing named-entity-recognition +5

Combining (second-order) graph-based and headed-span-based projective dependency parsing

1 code implementation Findings (ACL) 2022 Songlin Yang, Kewei Tu

Graph-based methods, which decompose the score of a dependency tree into scores of dependency arcs, are popular in dependency parsing for decades.

Dependency Parsing

Headed-Span-Based Projective Dependency Parsing

1 code implementation ACL 2022 Songlin Yang, Kewei Tu

In a projective dependency tree, the largest subtree rooted at each word covers a contiguous sequence (i. e., a span) in the surface order.

Constituency Parsing Dependency Parsing

A Systematical Solution for Face De-identification

no code implementations19 Jul 2021 Songlin Yang, Wei Wang, Yuehua Cheng, Jing Dong

Through this, we can construct unrestricted adversarial image to decrease ID similarity recognized by model.

Attribute De-identification +2

PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols

1 code implementation NAACL 2021 Songlin Yang, Yanpeng Zhao, Kewei Tu

In this work, we present a new parameterization form of PCFGs based on tensor decomposition, which has at most quadratic computational complexity in the symbol number and therefore allows us to use a much larger number of symbols.

Constituency Grammar Induction

Second-Order Unsupervised Neural Dependency Parsing

1 code implementation COLING 2020 Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu

Inspired by second-order supervised dependency parsing, we proposed a second-order extension of unsupervised neural dependency models that incorporate grandparent-child or sibling information.

Dependency Grammar Induction

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