1 code implementation • COLING 2022 • Minghao Xu, Daling Wang, Shi Feng, Zhenfei Yang, Yifei Zhang
Moreover, to verify the generality of the model, we also conduct experiments on two common sentiment analysis datasets.
no code implementations • COLING 2022 • Dongshi Ju, Shi Feng, Pengcheng Lv, Daling Wang, Yifei Zhang
In an open-domain dialogue system, the consistent persona is a key factor to generate real and coherent dialogues.
2 code implementations • 9 Mar 2023 • Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao
Concatenating multiple clusters of concept neurons can vividly generate all related concepts in a single image.
no code implementations • 21 Feb 2023 • Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
Trustworthy artificial intelligence (AI) technology has revolutionized daily life and greatly benefited human society.
no code implementations • 3 Jan 2023 • Jianhui Li, Zhennan Qin, Yijie Mei, Jingze Cui, Yunfei Song, Ciyong Chen, Yifei Zhang, Longsheng Du, Xianhang Cheng, Baihui Jin, Jason Ye, Eric Lin, Dan Lavery
With the rapid development of deep learning models and hardware support for dense computing, the deep learning (DL) workload characteristics changed significantly from a few hot spots on compute-intensive operations to a broad range of operations scattered across the models.
no code implementations • 18 Dec 2022 • Yongkang Liu, Shi Feng, Daling Wang, Hinrich Schütze, Yifei Zhang
We investigate response generation for multi-turn dialogue in generative-based chatbots.
1 code implementation • 7 Dec 2022 • Yifei Zhang, Neng Gao, Cunqing Ma
Prototype-based interpretability methods provide intuitive explanations of model prediction by comparing samples to a reference set of memorized exemplars or typical representatives in terms of similarity.
no code implementations • 2 Dec 2022 • Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
Although augmentations (e. g., perturbation of graph edges, image crops) boost the efficiency of Contrastive Learning (CL), feature level augmentation is another plausible, complementary yet not well researched strategy.
no code implementations • 29 Nov 2022 • Yifei Zhang, Sourav Kumar Ukil, Andrei Sperila, Serban Sabau
Refitting the expression of the relevant closed loop allows for the optimal linear observer problem given a fixed state feedback gain to be recast as a convex problem in the Youla parameter.
no code implementations • 29 Nov 2022 • Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng
Diffusion models, which learn to reverse a signal destruction process to generate new data, typically require the signal at each step to have the same dimension.
1 code implementation • 8 Nov 2022 • Qian Li, Shafiq Joty, Daling Wang, Shi Feng, Yifei Zhang
Sparsity of formal knowledge and roughness of non-ontological construction make sparsity problem particularly prominent in Open Knowledge Graphs (OpenKGs).
no code implementations • 2 Nov 2022 • Yifei Zhang, Chang Liu, Yu Zhou, Weiping Wang, Qixiang Ye, Xiangyang Ji
In this paper, we present relation-aware contrastive self-supervised learning (ReCo) to integrate instance relations, i. e., global distribution relation and local interpolation relation, into the CSL framework in a plug-and-play fashion.
no code implementations • 25 Oct 2022 • Yongkang Liu, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang
Current end-to-end retrieval-based dialogue systems are mainly based on Recurrent Neural Networks or Transformers with attention mechanisms.
no code implementations • 14 Oct 2022 • Thomas E. Doyle, Victoria Tucci, Calvin Zhu, Yifei Zhang, Basem Yassa, Sajjad Rashidiani, Md Asif Khan, Reza Samavi, Michael Noseworthy, Steven Yule
The rapid integration of artificial intelligence across traditional research domains has generated an amalgamation of nomenclature.
1 code implementation • COLING 2022 • Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang
Building dialogue generation systems in a zero-shot scenario remains a huge challenge, since the typical zero-shot approaches in dialogue generation rely heavily on large-scale pre-trained language generation models such as GPT-3 and T5.
1 code implementation • 25 Jun 2022 • Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King
As it is intractable for data augmentation to fully capture the structural information of the ConcreteGraph due to a large amount of potential concept pairs, we further introduce a novel Graph Component Contrastive Learning framework to implicitly learn the complete structure of the ConcreteGraph.
1 code implementation • 9 Jun 2022 • Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
In this paper, we show that the node embedding obtained via the graph augmentations is highly biased, somewhat limiting contrastive models from learning discriminative features for downstream tasks.
no code implementations • 13 Feb 2022 • Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King
However, in the updating stage, all nodes share the same updating function.
no code implementations • 3 Dec 2021 • Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King
In this work, we study the problem of representation learning for recommendation with 1-bit quantization.
no code implementations • 29 Sep 2021 • Yifei Zhang, Sourav Kumar Ukil, Ephraim Neimand, Serban Sabau, Myron E. Hohil
The robust LQG synthesis procedure is performed by considering bounded additive model uncertainty on the coprime factors of the plant.
no code implementations • 16 Sep 2021 • Xiaoni Li, Yu Zhou, Yifei Zhang, Aoting Zhang, Wei Wang, Ning Jiang, Haiying Wu, Weiping Wang
Concretely, these downstream tasks require more accurate representation, in other words, the pixels from the same object must belong to a shared semantic category, which is lacking in the previous methods.
1 code implementation • ACL 2021 • Xiaocui Yang, Shi Feng, Yifei Zhang, Daling Wang
In this paper, we propose Multi-channel Graph Neural Networks with Sentiment-awareness (MGNNS) for image-text sentiment detection.
1 code implementation • 7 May 2021 • Yifei Zhang, Yu Zhou, Weiping Wang
Despite the great progress achieved in unsupervised feature embedding, existing contrastive learning methods typically pursue view-invariant representations through attracting positive sample pairs and repelling negative sample pairs in the embedding space, while neglecting to systematically explore instance relations.
no code implementations • 21 Dec 2020 • Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang
We investigate response selection for multi-turn conversation in retrieval-based chatbots.
no code implementations • 14 Jul 2020 • Yifei Zhang, Hao Zhu
For this scheme, we propose a novel privacy-preserving architecture where two parties can collaboratively train a deep learning model efficiently while preserving the privacy of each party's data.
1 code implementation • 6 Jul 2020 • Yifei Zhang, Chang Liu, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye
In this work, we propose a novel clustering based method, which, by iteratively excluding class inconsistent samples during progressive cluster formation, alleviates the impact of noise samples in a simple-yet-effective manner.
no code implementations • 1 May 2020 • Yifei Zhang, Rania Briq, Julian Tanke, Juergen Gall
This work focuses on synthesizing human poses from human-level text descriptions.
no code implementations • WS 2019 • Qian Li, Hui Su, Cheng Niu, Daling Wang, Zekang Li, Shi Feng, Yifei Zhang
Moreover, pretraining is essential in reinforcement learning models, so we provide a high-quality annotated dataset for question reformulation by sampling a part of QuAC dataset.
no code implementations • IJCNLP 2019 • Weichao Wang, Shi Feng, Daling Wang, Yifei Zhang
We observe that the answer has strong semantic coherence to its question and post, which can be used to guide question generation.
1 code implementation • NAACL 2019 • Yifei Zhang, Hao Zhu
However, the discrete stochastic layer is usually incompatible with the backpropagation in the training stage, and thus causes a gradient flow problem because of non-differentiable operators.
no code implementations • EMNLP 2018 • Weichao Wang, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang
Then the attention-based CNN model is incorporated into a novel adversarial cross-lingual learning framework, in which with the help of user properties as bridge between languages, we can extract the language-specific features and language-independent features to enrich the user post representation so as to alleviate the data insufficiency problem.
no code implementations • EMNLP 2018 • Xiangju Li, Kaisong Song, Shi Feng, Daling Wang, Yifei Zhang
Emotion cause analysis has been a key topic in natural language processing.
2 code implementations • 27 Feb 2018 • Marian-Andrei Rizoiu, Timothy Graham, Rui Zhang, Yifei Zhang, Robert Ackland, Lexing Xie
We collect a large dataset of tweets during the 1st U. S. Presidential Debate in 2016 (#DebateNight) and we analyze its 1. 5 million users from three perspectives: user influence, political behavior (partisanship and engagement) and botness.
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