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.
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.
1 code implementation • 1 May 2024 • Runyi Yang, Zhenxin Zhu, Zhou Jiang, Baijun Ye, Xiaoxue Chen, Yifei Zhang, Yuantao Chen, Jian Zhao, Hao Zhao
However, this comes with high memory consumption, e. g., a well-trained Gaussian field may utilize three million Gaussian primitives and over 700 MB of memory.
1 code implementation • 25 Mar 2024 • Kecheng Zheng, Yifei Zhang, Wei Wu, Fan Lu, Shuailei Ma, Xin Jin, Wei Chen, Yujun Shen
Motivated by this, we propose to dynamically sample sub-captions from the text label to construct multiple positive pairs, and introduce a grouping loss to match the embeddings of each sub-caption with its corresponding local image patches in a self-supervised manner.
no code implementations • 25 Mar 2024 • Shilong Zhang, Lianghua Huang, Xi Chen, Yifei Zhang, Zhi-Fan Wu, Yutong Feng, Wei Wang, Yujun Shen, Yu Liu, Ping Luo
This work presents FlashFace, a practical tool with which users can easily personalize their own photos on the fly by providing one or a few reference face images and a text prompt.
1 code implementation • 17 Mar 2024 • Zihan Wang, Fanheng Kong, Shi Feng, Ming Wang, Xiaocui Yang, Han Zhao, Daling Wang, Yifei Zhang
For TSF tasks, these characteristics enable Mamba to comprehend hidden patterns as the Transformer and reduce computational overhead compared to the Transformer.
no code implementations • 16 Mar 2024 • Qilong Zhao, Yifei Zhang, Mengdan Zhu, Siyi Gu, Yuyang Gao, Xiaofeng Yang, Liang Zhao
Explanation supervision aims to enhance deep learning models by integrating additional signals to guide the generation of model explanations, showcasing notable improvements in both the predictability and explainability of the model.
1 code implementation • 13 Mar 2024 • Yifei Zhang, Hao Zhao, Hongyang Li, Siheng Chen
As such, the core of our method is the stochastic spectral sampling of correspondence graph.
no code implementations • 20 Feb 2024 • Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao
The deployment and application of Large Language Models (LLMs) is hindered by their memory inefficiency, computational demands, and the high costs of API inferences.
no code implementations • 19 Feb 2024 • Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao
To address the inherent gaps between LLMs (generative models for texts) and graph models (discriminative models for graphs), we propose first to let LLMs teach an interpreter with rich textual rationale and then let a student model mimic the interpreter's reasoning without LLMs' textual rationale.
no code implementations • 26 Jan 2024 • Yongkang Liu, Yiqun Zhang, Qian Li, Tong Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze
As LMs grow in size, fine-tuning the full parameters of LMs requires a prohibitively large amount of GPU memory.
1 code implementation • 20 Jan 2024 • Yiqun Zhang, Fanheng Kong, Peidong Wang, Shuang Sun, Lingshuai Wang, Shi Feng, Daling Wang, Yifei Zhang, Kaisong Song
Stickers, while widely recognized for enhancing empathetic communication in online interactions, remain underexplored in current empathetic dialogue research, notably due to the challenge of a lack of comprehensive datasets.
no code implementations • 10 Jan 2024 • Yong Ma, Senlin Luo, Yu-Ming Shang, Yifei Zhang, ZhengJun Li
Researchers have explored the potential of utilizing pre-trained language models, such as CodeBERT, to improve source code-related tasks.
1 code implementation • 1 Jan 2024 • Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao
We categorize methods based on their optimization focus: computational, memory, energy, financial, and network resources and their applicability across various stages of an LLM's lifecycle, including architecture design, pretraining, finetuning, and system design.
no code implementations • 27 Oct 2023 • Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King
We show that in the hyperbolic space one has to address the leaf- and height-level uniformity which are related to properties of trees, whereas in the ambient space of the hyperbolic manifold, these notions translate into imposing an isotropic ring density towards boundaries of Poincar\'e ball.
1 code implementation • 13 Oct 2023 • Xiaocui Yang, Wenfang Wu, Shi Feng, Ming Wang, Daling Wang, Yang Li, Qi Sun, Yifei Zhang, XiaoMing Fu, Soujanya Poria
Consequently, our work complements research on the performance of MLLMs in multimodal comprehension tasks, achieving a more comprehensive and holistic evaluation of MLLMs.
1 code implementation • 12 Oct 2023 • Yifei Zhang, Siyi Gu, Bo Pan, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao
However, in many real-world situations, it is usually desired to prompt the model with visual attention without model retraining.
no code implementations • 12 Oct 2023 • Yifei Zhang, Siyi Gu, James Song, Bo Pan, Guangji Bai, Liang Zhao
Our proposed benchmarks facilitate a fair evaluation and comparison of visual explanation methods.
no code implementations • 11 Oct 2023 • Bo Pan, Muran Qin, Shiyu Wang, Yifei Zhang, Liang Zhao
To address these challenges, in this paper, we propose a general framework to enhance VAE-based data generators with property controllability and ensure disentanglement.
no code implementations • 11 Oct 2023 • Bo Pan, Zhenke Liu, Yifei Zhang, Liang Zhao
Explainable AI seeks to bring light to the decision-making processes of black-box models.
1 code implementation • 6 Oct 2023 • Guangji Bai, Qilong Zhao, Xiaoyang Jiang, Yifei Zhang, Liang Zhao
Continual Learning is a burgeoning domain in next-generation AI, focusing on training neural networks over a sequence of tasks akin to human learning.
no code implementations • 3 Oct 2023 • Xiangru Li, Yifei Zhang, Liang Zhao
The Segment Anything Model (SAM) is a powerful foundation model that introduced revolutionary advancements in natural image segmentation.
no code implementations • 29 Sep 2023 • Yifei Zhang, Marcos M. Vasconcelos
Our analysis shows that there is a relationship between the connectivity of the network, and the rationality of the agents.
1 code implementation • 28 Sep 2023 • Ming Wang, Daling Wang, Wenfang Wu, Shi Feng, Yifei Zhang
The application of CEs encounters two main challenges: general user preferences and variable ML systems.
no code implementations • 22 Sep 2023 • Chenin Li, Qianglong Chen, Yin Zhang, Yifei Zhang, Hongxiang Yao
Commonsense reasoning is a pivotal skill for large language models, yet it presents persistent challenges in specific tasks requiring this competence.
1 code implementation • 29 Jul 2023 • Ming Wang, Wenfang Wu, Chongyun Gao, Daling Wang, Shi Feng, Yifei Zhang
Large language models (LLMs) have received increasing attention.
no code implementations • 20 Jun 2023 • Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng
Diffusion models, which employ stochastic differential equations to sample images through integrals, have emerged as a dominant class of generative models.
1 code implementation • 20 Jun 2023 • Jiawei Zhao, Yifei Zhang, Beidi Chen, Florian Schäfer, Anima Anandkumar
To remedy this, we design a new training algorithm Incremental Low-Rank Learning (InRank), which explicitly expresses cumulative weight updates as low-rank matrices while incrementally augmenting their ranks during training.
1 code implementation • 30 May 2023 • Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao
Synthesizing images with user-specified subjects has received growing attention due to its practical applications.
no code implementations • 24 May 2023 • Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze
There are risks in using eference-free evaluators based on LLMs to evaluate the quality of dialogue responses.
no code implementations • 8 May 2023 • Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King
Maximizing the user-item engagement based on vectorized embeddings is a standard procedure of recent recommender models.
no code implementations • 1 Apr 2023 • Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King
We propose an end-to-end Bipartite Graph Convolutional Hashing approach, namely BGCH, which consists of three novel and effective modules: (1) adaptive graph convolutional hashing, (2) latent feature dispersion, and (3) Fourier serialized gradient estimation.
1 code implementation • 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, Yan Zhang, Jason Ye, Eric Lin, Dan Lavery
We present oneDNN Graph Compiler, a tensor compiler that employs a hybrid approach of using techniques from both compiler optimization and expert-tuned kernels for high performance code generation of the deep neural network graph.
no code implementations • ICCV 2023 • Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao
This technique aims to improve the predictability of the model by incorporating human understanding of the prediction process into the training phase.
no code implementations • 18 Dec 2022 • Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze
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 • CVPR 2023 • 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 • Xiangju Li, Kaisong Song, Shi Feng, Daling Wang, Yifei Zhang
Emotion cause analysis has been a key topic in natural language processing.
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.
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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