Search Results for author: Chen Wei

Found 48 papers, 27 papers with code

C^3KG: A Chinese Commonsense Conversation Knowledge Graph

1 code implementation Findings (ACL) 2022 Dawei Li, Yanran Li, Jiayi Zhang, Ke Li, Chen Wei, Jianwei Cui, Bin Wang

Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps.

Global entity alignment with Gated Latent Space Neighborhood Aggregation

no code implementations CCL 2021 Chen Wei, Chen Xiaoying, Xiong Shengwu

In the paper we propose a global entity alignment model with gated latent space neighborhood aggregation (LatsEA) to address this challenge.

Entity Alignment Entity Embeddings

ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning

no code implementations24 May 2024 Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan Yuille, Cihang Xie

This paper presents a new self-supervised video representation learning framework, ARVideo, which autoregressively predicts the next video token in a tailored sequence order.

Representation Learning

WHAC: World-grounded Humans and Cameras

1 code implementation19 Mar 2024 Wanqi Yin, Zhongang Cai, Ruisi Wang, Fanzhou Wang, Chen Wei, Haiyi Mei, Weiye Xiao, Zhitao Yang, Qingping Sun, Atsushi Yamashita, Ziwei Liu, Lei Yang

In this study, we aim to recover expressive parametric human models (i. e., SMPL-X) and corresponding camera poses jointly, by leveraging the synergy between three critical players: the world, the human, and the camera.

Pose Estimation

Towards Generalizable Tumor Synthesis

1 code implementation CVPR 2024 Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan Yuille, Chen Wei, Zongwei Zhou

Tumor synthesis enables the creation of artificial tumors in medical images, facilitating the training of AI models for tumor detection and segmentation.

Computed Tomography (CT)

Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence

1 code implementation15 Feb 2024 Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin

Emotional Intelligence (EI), consisting of emotion perception, emotion cognition and emotion expression, plays the critical roles in improving user interaction experience for the current large language model (LLM) based conversational general AI assistants.

Emotional Intelligence Language Modelling +1

Integration of cognitive tasks into artificial general intelligence test for large models

no code implementations4 Feb 2024 Youzhi Qu, Chen Wei, Penghui Du, Wenxin Che, Chi Zhang, Wanli Ouyang, Yatao Bian, Feiyang Xu, Bin Hu, Kai Du, Haiyan Wu, Jia Liu, Quanying Liu

During the evolution of large models, performance evaluation is necessarily performed to assess their capabilities and ensure safety before practical application.

Advancing EEG/MEG Source Imaging with Geometric-Informed Basis Functions

no code implementations31 Jan 2024 Song Wang, Chen Wei, Kexin Lou, Dongfeng Gu, Quanying Liu

Here, we present a novel method which utilizes the Brain Geometric-informed Basis Functions (GBFs) as priors to enhance EEG/MEG source imaging.


Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

no code implementations18 Dec 2023 Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie

This paper introduces an efficient strategy to transform Large Language Models (LLMs) into Multi-Modal Large Language Models (MLLMs).

Domain Adaptation

Digital Life Project: Autonomous 3D Characters with Social Intelligence

no code implementations CVPR 2024 Zhongang Cai, Jianping Jiang, Zhongfei Qing, Xinying Guo, Mingyuan Zhang, Zhengyu Lin, Haiyi Mei, Chen Wei, Ruisi Wang, Wanqi Yin, Xiangyu Fan, Han Du, Liang Pan, Peng Gao, Zhitao Yang, Yang Gao, Jiaqi Li, Tianxiang Ren, Yukun Wei, Xiaogang Wang, Chen Change Loy, Lei Yang, Ziwei Liu

In this work, we present Digital Life Project, a framework utilizing language as the universal medium to build autonomous 3D characters, who are capable of engaging in social interactions and expressing with articulated body motions, thereby simulating life in a digital environment.

Motion Captioning Motion Synthesis

Instruct2Attack: Language-Guided Semantic Adversarial Attacks

no code implementations27 Nov 2023 Jiang Liu, Chen Wei, Yuxiang Guo, Heng Yu, Alan Yuille, Soheil Feizi, Chun Pong Lau, Rama Chellappa

We propose Instruct2Attack (I2A), a language-guided semantic attack that generates semantically meaningful perturbations according to free-form language instructions.

Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics

1 code implementation13 Sep 2023 Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie

Multi-modal large language models (MLLMs) are trained based on large language models (LLM), with an enhanced capability to comprehend multi-modal inputs and generate textual responses.


PointHPS: Cascaded 3D Human Pose and Shape Estimation from Point Clouds

no code implementations28 Aug 2023 Zhongang Cai, Liang Pan, Chen Wei, Wanqi Yin, Fangzhou Hong, Mingyuan Zhang, Chen Change Loy, Lei Yang, Ziwei Liu

To tackle these challenges, we propose a principled framework, PointHPS, for accurate 3D HPS from point clouds captured in real-world settings, which iteratively refines point features through a cascaded architecture.

3D human pose and shape estimation

Learning towards Selective Data Augmentation for Dialogue Generation

no code implementations17 Mar 2023 Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan

As it is cumbersome and expensive to acquire a huge amount of data for training neural dialog models, data augmentation is proposed to effectively utilize existing training samples.

Data Augmentation Dialogue Generation +1

Unleashing the Power of Visual Prompting At the Pixel Level

1 code implementation20 Dec 2022 Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan Yuille, Yuyin Zhou, Cihang Xie

This paper presents a simple and effective visual prompting method for adapting pre-trained models to downstream recognition tasks.

Visual Prompting

SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training

no code implementations ICCV 2023 Yuanze Lin, Chen Wei, Huiyu Wang, Alan Yuille, Cihang Xie

Coupling all these designs allows our method to enjoy both competitive performances on text-to-video retrieval and video question answering tasks, and much less pre-training costs by 1. 9X or more.

Question Answering Retrieval +3

Masked Autoencoders Enable Efficient Knowledge Distillers

1 code implementation CVPR 2023 Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan Yuille, Yuyin Zhou, Cihang Xie

For example, by distilling the knowledge from an MAE pre-trained ViT-L into a ViT-B, our method achieves 84. 0% ImageNet top-1 accuracy, outperforming the baseline of directly distilling a fine-tuned ViT-L by 1. 2%.

Knowledge Distillation

High-Resolution Swin Transformer for Automatic Medical Image Segmentation

1 code implementation23 Jul 2022 Chen Wei, Shenghan Ren, Kaitai Guo, Haihong Hu, Jimin Liang

Most of the existing Transformer-based networks for medical image segmentation are U-Net-like architecture that contains an encoder that utilizes a sequence of Transformer blocks to convert the input medical image from high-resolution representation into low-resolution feature maps and a decoder that gradually recovers the high-resolution representation from low-resolution feature maps.

Brain Tumor Segmentation Decoder +4

In Defense of Image Pre-Training for Spatiotemporal Recognition

1 code implementation3 May 2022 Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan Yuille, Yuyin Zhou, Cihang Xie

Inspired by this observation, we hypothesize that the key to effectively leveraging image pre-training lies in the decomposition of learning spatial and temporal features, and revisiting image pre-training as the appearance prior to initializing 3D kernels.

STS Video Recognition

C3KG: A Chinese Commonsense Conversation Knowledge Graph

1 code implementation6 Apr 2022 Dawei Li, Yanran Li, Jiayi Zhang, Ke Li, Chen Wei, Jianwei Cui, Bin Wang

Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps.

CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation

1 code implementation22 Mar 2022 Feng Wang, Huiyu Wang, Chen Wei, Alan Yuille, Wei Shen

Recent advances in self-supervised contrastive learning yield good image-level representation, which favors classification tasks but usually neglects pixel-level detailed information, leading to unsatisfactory transfer performance to dense prediction tasks such as semantic segmentation.

Contrastive Learning Representation Learning +2

Embedding Decomposition for Artifacts Removal in EEG Signals

1 code implementation2 Dec 2021 Junjie Yu, Chenyi Li, Kexin Lou, Chen Wei, Quanying Liu

DeepSeparator employs an encoder to extract and amplify the features in the raw EEG, a module called decomposer to extract the trend, detect and suppress artifact and a decoder to reconstruct the denoised signal.

Decoder Denoising +2

Phase function estimation from a diffuse optical image via deep learning

no code implementations16 Nov 2021 Yuxuan Liang, Chuang Niu, Chen Wei, Shenghan Ren, Wenxiang Cong, Ge Wang

The phase function is a key element of a light propagation model for Monte Carlo (MC) simulation, which is usually fitted with an analytic function with associated parameters.

Playing for 3D Human Recovery

no code implementations14 Oct 2021 Zhongang Cai, Mingyuan Zhang, Jiawei Ren, Chen Wei, Daxuan Ren, Zhengyu Lin, Haiyu Zhao, Lei Yang, Chen Change Loy, Ziwei Liu

Specifically, we contribute GTA-Human, a large-scale 3D human dataset generated with the GTA-V game engine, featuring a highly diverse set of subjects, actions, and scenarios.

Image BERT Pre-training with Online Tokenizer

no code implementations ICLR 2022 Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille, Tao Kong

The success of language Transformers is primarily attributed to the pretext task of masked language modeling (MLM), where texts are first tokenized into semantically meaningful pieces.

Image Classification Instance Segmentation +5

Towards an Online Empathetic Chatbot with Emotion Causes

no code implementations11 May 2021 Yanran Li, Ke Li, Hongke Ning, Xiaoqiang Xia, Yalong Guo, Chen Wei, Jianwei Cui, Bin Wang

Existing emotion-aware conversational models usually focus on controlling the response contents to align with a specific emotion class, whereas empathy is the ability to understand and concern the feelings and experience of others.


Writing Polishment with Simile: Task, Dataset and A Neural Approach

1 code implementation15 Dec 2020 Jiayi Zhang, Zhi Cui, Xiaoqiang Xia, Yalong Guo, Yanran Li, Chen Wei, Jianwei Cui

In this paper, we propose a new task of Writing Polishment with Simile (WPS) to investigate whether machines are able to polish texts with similes as we human do.

Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension

1 code implementation14 Dec 2020 Xiuying Chen, Zhi Cui, Jiayi Zhang, Chen Wei, Jianwei Cui, Bin Wang, Dongyan Zhao, Rui Yan

Hence, in this paper, we propose to improve the response generation performance by examining the model's ability to answer a reading comprehension question, where the question is focused on the omitted information in the dialog.

Multi-Task Learning Reading Comprehension +1

Design and verification of the HXI collimator onboard the ASO-S mission

no code implementations3 Dec 2020 Chen Dengyi, Hu Yiming, Ma Tao, Su Yang, Yang Jianfeng, Wang Jianping, Xu Guangzhou, Jiang Xiankai, Guo Jianhua, Zhang Yongqiang, Zhang Yan, Chen Wei, Chang Jin, Zhang Zhe

The HXI collimator (HXI-C) is a spatial modulation X-ray telescope designed to observe hard X-rays emitted by energetic electrons in solar flares.

Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics High Energy Physics - Experiment

Self-supervised Representation Learning for Evolutionary Neural Architecture Search

1 code implementation31 Oct 2020 Chen Wei, Yiping Tang, Chuang Niu, Haihong Hu, Yue Wang, Jimin Liang

To enhance the predictive performance of neural predictors, we devise two self-supervised learning methods from different perspectives to pre-train the architecture embedding part of neural predictors to generate a meaningful representation of neural architectures.

Contrastive Learning Graph Neural Network +3

CO2: Consistent Contrast for Unsupervised Visual Representation Learning

no code implementations ICLR 2021 Chen Wei, Huiyu Wang, Wei Shen, Alan Yuille

Regarding the similarity of the query crop to each crop from other images as "unlabeled", the consistency term takes the corresponding similarity of a positive crop as a pseudo label, and encourages consistency between these two similarities.

Contrastive Learning Image Classification +5

EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoising

2 code implementations24 Sep 2020 Haoming Zhang, Mingqi Zhao, Chen Wei, Dante Mantini, Zherui Li, Quanying Liu

Here, we present EEGdenoiseNet, a benchmark EEG dataset that is suited for training and testing deep learning-based denoising models, as well as for performance comparisons across models.

Denoising EEG +1

NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search

1 code implementation28 Mar 2020 Chen Wei, Chuang Niu, Yiping Tang, Yue Wang, Haihong Hu, Jimin Liang

In this paper, we propose a neural predictor guided evolutionary algorithm to enhance the exploration ability of EA for NAS (NPENAS) and design two kinds of neural predictors.

Bayesian Optimization Evolutionary Algorithms +1

Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning

1 code implementation CVPR 2019 Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille

We consider spatial contexts, for which we solve so-called jigsaw puzzles, i. e., each image is cut into grids and then disordered, and the goal is to recover the correct configuration.

General Classification Image Classification +4

Generalized Coarse-to-Fine Visual Recognition with Progressive Training

no code implementations29 Nov 2018 Xutong Ren, Lingxi Xie, Chen Wei, Siyuan Qiao, Chi Su, Jiaying Liu, Qi Tian, Elliot K. Fishman, Alan L. Yuille

Computer vision is difficult, partly because the desired mathematical function connecting input and output data is often complex, fuzzy and thus hard to learn.

Image Classification Object Localization +1

Deep Retinex Decomposition for Low-Light Enhancement

3 code implementations14 Aug 2018 Chen Wei, Wenjing Wang, Wenhan Yang, Jiaying Liu

Based on the decomposition, subsequent lightness enhancement is conducted on illumination by an enhancement network called Enhance-Net, and for joint denoising there is a denoising operation on reflectance.

Denoising Low-Light Image Enhancement

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