no code implementations • COLING 2022 • Yuchen Liu, Jinming Zhao, Jingwen Hu, Ruichen Li, Qin Jin
Emotion Recognition in Conversation (ERC) has attracted increasing attention in the affective computing research field.
no code implementations • 22 Nov 2023 • Licheng Lin, Mingzhe Chen, Zhaohui Yang, Yusen Wu, Yuchen Liu
In particular, our designed clustered FL algorithm must overcome two challenges associated with FL training.
1 code implementation • 13 Oct 2023 • Dongsheng Jiang, Yuchen Liu, Songlin Liu, Xiaopeng Zhang, Jin Li, Hongkai Xiong, Qi Tian
By simply equipping it with an MLP layer for alignment, DINO surpasses CLIP in fine-grained related perception tasks.
1 code implementation • 2 Sep 2023 • Chen Wang, Minpeng Liao, Zhongqiang Huang, Jinliang Lu, Junhong Wu, Yuchen Liu, Chengqing Zong, Jiajun Zhang
One is a cascaded approach where outputs (tokens or states) of a separately trained speech recognition system are used as inputs for LLMs, which limits their potential in modeling alignment between speech and text.
1 code implementation • 8 Aug 2023 • Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, Dongkuan Xu
We present gentopia, an ALM framework enabling flexible customization of agents through simple configurations, seamlessly integrating various language models, task formats, prompting modules, and plugins into a unified paradigm.
no code implementations • 6 Jul 2023 • Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris Metaxas, Shiqing Ma
In this paper, we propose a method for detecting such unauthorized data usage by planting injected memorization into the text-to-image diffusion models trained on the protected dataset.
1 code implementation • 17 Jun 2023 • Boyuan Cao, Xinyu Zhou, Congmin Guo, Baohua Zhang, Yuchen Liu, Qianqiu Tan
In the past few years, researchers have proposed many methods to address the above-mentioned issues and achieved very good results on publicly available datasets such as the Cornell dataset and the Jacquard dataset.
Ranked #1 on
Robotic Grasping
on NBMOD
(using extra training data)
no code implementations • 13 Jun 2023 • Gaolei Li, YuanYuan Zhao, Wenqi Wei, Yuchen Liu
Secondly, to rearm current security strategies, an finetuning-based deployment mechanism is proposed to transfer learned knowledge into the student model, while minimizing the defense cost.
2 code implementations • 23 May 2023 • Binfeng Xu, Zhiyuan Peng, Bowen Lei, Subhabrata Mukherjee, Yuchen Liu, Dongkuan Xu
Augmented Language Models (ALMs) blend the reasoning capabilities of Large Language Models (LLMs) with tools that allow for knowledge retrieval and action execution.
no code implementations • 28 Apr 2023 • Yuchen Liu, Natasha Ong, Kaiyan Peng, Bo Xiong, Qifan Wang, Rui Hou, Madian Khabsa, Kaiyue Yang, David Liu, Donald S. Williamson, Hanchao Yu
Our model encodes different views of the input signal and builds several channel-resolution feature stages to process the multiple views of the input at different resolutions in parallel.
no code implementations • 4 Apr 2023 • Xuanchao Ma, Yuchen Liu
We find that the detection criteria used in infrared imaging ethylene leakage detection research cannot fully reflect real-world production conditions, which is not conducive to evaluate the performance of current image-based target detection methods.
no code implementations • 17 Mar 2023 • Chuanhe Liu, Xinjie Zhang, Xiaolong Liu, Tenggan Zhang, Liyu Meng, Yuchen Liu, Yuanyuan Deng, Wenqiang Jiang
This paper presents our submission to the Expression Classification Challenge of the fifth Affective Behavior Analysis in-the-wild (ABAW) Competition.
1 code implementation • 13 Feb 2023 • Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
In order to address this issue, we propose GAS, a \shorten approach that can successfully adapt existing robust AGRs to non-IID settings.
no code implementations • 9 Feb 2023 • Yuying Li, Yuchen Liu, Donald S. Williamson
More specifically, we develop a joint learning approach that uses a composite T60 module and a separate dereverberation module to simultaneously perform reverberation time estimation and dereverberation.
no code implementations • ICCV 2023 • Yuchen Liu, Yabo Chen, Mengran Gou, Chun-Ting Huang, Yaoming Wang, Wenrui Dai, Hongkai Xiong
In this paper, we propose the first Unsupervised Domain Generalization framework for Face Anti-Spoofing, namely UDG-FAS, which could exploit large amounts of easily accessible unlabeled data to learn generalizable features for enhancing the low-data regime of FAS.
no code implementations • CVPR 2023 • Yuchen Liu, Yaoming Wang, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong
Then, we propose a novel unsupervised domain generalization approach, namely Dual Nearest Neighbors contrastive learning with strong Augmentation (DN^2A).
1 code implementation • CVPR 2023 • Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian
To mitigate the computational and storage demands, recent research has explored Parameter-Efficient Fine-Tuning (PEFT), which focuses on tuning a minimal number of parameters for efficient adaptation.
no code implementations • 2 Dec 2022 • Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Fei Wang, Baigui Sun, Xuansong Xie, Yu Qiao
Intuitively, FR algorithms can benefit from both the estimation of uncertainty and the detection of out-of-distribution (OOD) samples.
no code implementations • 4 Nov 2022 • Yuchen Liu, Li-Chia Yang, Alex Pawlicki, Marko Stamenovic
Speech quality assessment has been a critical component in many voice communication related applications such as telephony and online conferencing.
1 code implementation • 2 Nov 2022 • Yihong Dong, Xue Jiang, Yuchen Liu, Ge Li, Zhi Jin
CodePAD can leverage existing sequence-based models, and we show that it can achieve 100\% grammatical correctness percentage on these benchmark datasets.
1 code implementation • 18 Oct 2022 • Chen Wang, Yuchen Liu, Boxing Chen, Jiajun Zhang, Wei Luo, Zhongqiang Huang, Chengqing Zong
Existing zero-shot methods fail to align the two modalities of speech and text into a shared semantic space, resulting in much worse performance compared to the supervised ST methods.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
no code implementations • 24 Aug 2022 • Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, S. Y. Kung
While concatenating GAN inversion and a 3D-aware, noise-to-image GAN is a straight-forward solution, it is inefficient and may lead to noticeable drop in editing quality.
1 code implementation • 3 Aug 2022 • Yuchen Liu
In regions that practice common law, relevant historical cases are essential references for sentencing.
1 code implementation • 31 Jul 2022 • Yabo Chen, Yuchen Liu, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian
We also analyze how to build good views for the teacher branch to produce latent representation from the perspective of information bottleneck.
1 code implementation • 19 Jul 2022 • Tenggan Zhang, Chuanhe Liu, Xiaolong Liu, Yuchen Liu, Liyu Meng, Lei Sun, Wenqiang Jiang, Fengyuan Zhang, Jinming Zhao, Qin Jin
This paper presents our system for the Multi-Task Learning (MTL) Challenge in the 4th Affective Behavior Analysis in-the-wild (ABAW) competition.
2 code implementations • 13 Jul 2022 • Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang
Reinforcement learning algorithms require a large amount of samples; this often limits their real-world applications on even simple tasks.
1 code implementation • 30 May 2022 • Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu
In this paper, we study the problem of FAT under label skewness, and reveal one root cause of the training instability and natural accuracy degradation issues: skewed labels lead to non-identical class probabilities and heterogeneous local models.
1 code implementation • ACL 2022 • Jinming Zhao, Tenggan Zhang, Jingwen Hu, Yuchen Liu, Qin Jin, Xinchao Wang, Haizhou Li
In this work, we propose a Multi-modal Multi-scene Multi-label Emotional Dialogue dataset, M3ED, which contains 990 dyadic emotional dialogues from 56 different TV series, a total of 9, 082 turns and 24, 449 utterances.
Cultural Vocal Bursts Intensity Prediction
Emotion Recognition
1 code implementation • 18 Apr 2022 • Junhang Li, Jiao Wei, Can Tong, Tingting Shen, Yuchen Liu, Chen Li, Shouliang Qi, YuDong Yao, Yueyang Teng
Traditional nonnegative matrix factorization (NMF) learns a new feature representation on the whole data space, which means treating all features equally.
no code implementations • 24 Mar 2022 • Liyu Meng, Yuchen Liu, Xiaolong Liu, Zhaopei Huang, Yuan Cheng, Meng Wang, Chuanhe Liu, Qin Jin
In this paper, we briefly introduce our submission to the Valence-Arousal Estimation Challenge of the 3rd Affective Behavior Analysis in-the-wild (ABAW) competition.
no code implementations • 21 Oct 2021 • Yuchen Liu, S. Y. Kung, David Wentzlaff
While most prior works in evolutionary learning aim at directly searching the structure of a network, few attempts have been made on another promising track, channel pruning, which recently has made major headway in designing efficient deep learning models.
no code implementations • 21 Oct 2021 • Yuchen Liu, David Wentzlaff, S. Y. Kung
We then propose a novel layer-adaptive hierarchical pruning approach, where we use a coarse class discrimination scheme for early layers and a fine one for later layers.
no code implementations • 29 Sep 2021 • Yuchen Liu, Yali Du, Runji Lin, Hangrui Bi, Mingdong Wu, Jun Wang, Hao Dong
Model-based RL is an effective approach for reducing sample complexity.
Model-based Reinforcement Learning
Reinforcement Learning (RL)
1 code implementation • ACL 2021 • Jingwen Hu, Yuchen Liu, Jinming Zhao, Qin Jin
Emotion recognition in conversation (ERC) is a crucial component in affective dialogue systems, which helps the system understand users' emotions and generate empathetic responses.
1 code implementation • CVPR 2021 • Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, S. Y. Kung
We then propose a novel content-aware method to guide the processes of both pruning and distillation.
no code implementations • 18 Feb 2021 • Yuchen Liu, Chenyang Xu, Ziquan Zhuang
We prove that on any log Fano pair of dimension $n$ whose stability threshold is less than $\frac{n+1}{n}$, any valuation computing the stability threshold has a finitely generated associated graded ring.
Algebraic Geometry Differential Geometry
no code implementations • ICCV 2021 • Yaoming Wang, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong
Existing differentiable neural architecture search approaches simply assume the architectural distribution on each edge is independent of each other, which conflicts with the intrinsic properties of architecture.
no code implementations • 17 Nov 2020 • Yifan Yu, Shan Huang, Yuchen Liu, Yong Tan
We apply a partial-linear instrumental variable approach with a double machine learning framework to causally identify the impact of the negative discrete emotions on online content diffusion.
no code implementations • 28 Oct 2020 • Yuchen Liu, Junnan Zhu, Jiajun Zhang, Chengqing Zong
End-to-end speech translation aims to translate speech in one language into text in another language via an end-to-end way.
no code implementations • WS 2020 • Qian Wang, Yuchen Liu, Cong Ma, Yu Lu, Yining Wang, Long Zhou, Yang Zhao, Jiajun Zhang, Cheng-qing Zong
This paper describes the CASIA{'}s system for the IWSLT 2020 open domain translation task.
no code implementations • 29 Apr 2020 • Yuchen Liu, David Wentzlaff, S. Y. Kung
To this end, we initiate the first study on the effectiveness of a broad range of discriminant functions on channel pruning.
1 code implementation • 16 Dec 2019 • Yuchen Liu, Jiajun Zhang, Hao Xiong, Long Zhou, Zhongjun He, Hua Wu, Haifeng Wang, Cheng-qing Zong
Speech-to-text translation (ST), which translates source language speech into target language text, has attracted intensive attention in recent years.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
no code implementations • IJCNLP 2019 • Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu, Cheng-qing Zong
In this paper, we introduce a novel interactive approach to translate a source language into two different languages simultaneously and interactively.
no code implementations • 17 Apr 2019 • Yuchen Liu, Hao Xiong, Zhongjun He, Jiajun Zhang, Hua Wu, Haifeng Wang, Cheng-qing Zong
End-to-end speech translation (ST), which directly translates from source language speech into target language text, has attracted intensive attentions in recent years.
no code implementations • 1 Nov 2018 • Long Zhou, Yuchen Liu, Jiajun Zhang, Cheng-qing Zong, Guoping Huang
Current Neural Machine Translation (NMT) employs a language-specific encoder to represent the source sentence and adopts a language-specific decoder to generate target translation.
no code implementations • 18 May 2018 • Quanshi Zhang, Yu Yang, Yuchen Liu, Ying Nian Wu, Song-Chun Zhu
Given feature maps of a certain conv-layer of the CNN, the explainer performs like an auto-encoder, which first disentangles the feature maps into object-part features and then inverts object-part features back to features of higher conv-layers of the CNN.
1 code implementation • 21 Nov 2017 • Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec
Furthermore, we develop a graph pruning strategy at that leads to an additional 58% improvement in recommendations.
no code implementations • 12 Nov 2015 • Dmitry Kislyuk, Yuchen Liu, David Liu, Eric Tzeng, Yushi Jing
This paper presents Pinterest Related Pins, an item-to-item recommendation system that combines collaborative filtering with content-based ranking.