01

Embodied intelligence

Agent planningNative-action agentsVLA models

Exploring a hierarchical architecture with an agent planner and either a native-action agent or a VLA model, connecting task planning, action execution and environment feedback.

Research enquiries
02

Multimodal intelligence

Vision-language modelsUnderstanding & generationVisual grounding

Understanding and generating content across vision and language, including images, videos and human motion.

Related outputs
03

AI for Science (AI4S)

Biomolecular designScientific predictionMedical imaging

Developing AI methods for biomolecular prediction and design, virus evolution, protein structure and medical image analysis.

Related outputs
RESEARCH OUTPUTS

Research outputs

Explore our work by title, author, keyword, year or research area.

124 research outputs · 2010–2026

2026

23 outputs
TPAMI2026

Unified Granularity Controller for Interactive Segmentation

Yian Zhao, Kehan Li, Pengchong Qiao, Chang Liu, Rongrong Ji, Jie Chen

TPAMI2026

Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds

Shuhai Zhang, Jiahao Yang, Hui Luo, Jie Chen, Li Wang, Feng Liu, Bo Han, Mingkui Tan

Nature Communications2026

SplitSeek-Pro: accurate prediction of splittable sites on protein structures

AI for Science (AI4S)

Yu-Xiang Wang, Fengyi Jiang, Tingjie Xu, Lan-Xin Xing, Yajie Liu, Zhiwei Nie, Jie Chen, Wen-Bin Zhang

Medical Image Analysis2026

Switch-UMamba: Dynamic scanning vision Mamba UNet for medical image segmentation

Ziyao Zhang, Qiankun Ma, Tong Zhang, Jie Chen∗, Hairong Zheng∗, Wen Gao

TCSVT2026

DemoChain: Decoupled Motion-Chain for Multi-Action Video Generation

Multimodal intelligence

Xuehan Hou, Hongyu Zhang, Ailing Zhang, Ruochong Zheng, Yufan Deng, Yuxin Qin, Mulan Yang, Chang Liu, Jie Chen

Briefings in Bioinformatics2026

Antibody-antigen neutralization prediction by integrating structural information distillation and physicochemical constraints

AI for Science (AI4S)

Yutian Liu, Zhiwei Nie, Jie Chen, Xinhao Zheng, Jie Fu, Zhihong Liu, Xudong Liu, Fan Xu, Xiansong Huang, Wen-Bin Zhang*, Siwei Ma*, Wen Gao, Yonghong Tian

Briefings in Bioinformatics2026

Zero-shot Benchmarking of RNA Language Models in Structural, Functional, and Evolutionary Learning

AI for Science (AI4S)

He Wang, Yikun Zhang, Jie Chen, Jian Zhan, Yaoqi Zhou

AAAI2026

WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation

Zishan Shu, Juntong Wu, Wei Yan, Xudong Liu, Hongyu Zhang, Chang Liu, Youdong Mao, Jie Chen

AAAI2026

BiHiTo: Biomolecular Hierarchy-inspired Tokenization

AI for Science (AI4S)

Ruochong Zheng, Yutian Liu, Yian Zhao, Zhiwei Nie, Xuehan Hou, Chang Liu, Siwei Ma, Youdong Mao, Jie Chen

AAAI2026

ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics

AI for Science (AI4S)

Kaiwen Cheng, Yutian Liu, Zhiwei Nie, Mujie Lin, Yanzhen Hou, Yiheng Tao, Chang Liu, Jie Chen, Youdong Mao, Yonghong Tian

CVPR2026

ApET: Approximation-Error Guided Token Compression for Efficient VLMs

Multimodal intelligence

Qiankun Ma, Ziyao Zhang, Haofei Wang, Zhen Song, Jie Chen, Hairong Zheng

CVPR Findings2026

ControlPose: High-Fidelity Pose-Controlled Image Generation with Multi-Faceted Pose Disentanglement

Multimodal intelligence

Zhongjing Du, Xiao Chen, Zhiwei Nie, Yuxuan Chen, Chang Liu, Xiangyang Ji, Jie Chen

ACL Findings2026

Divergent Thinking: Escape the Homogeneity Trap in Generative Commonsense Reasoning

Multimodal intelligence

Yiheng Tao, Kaiwen Cheng, Zhiwei Nie, Chang Liu, Jie Chen

ICLR2026

Anchor Frame Bridging for Coherent First-Last Frame Video Generation

Multimodal intelligence

Xuehan Hou, Meng Fan, Pengchong Qiao, Zesen Cheng, Yian Zhao, Lei Zhu, Kaiwen Cheng, Chang Liu, Jie Chen

ICML2026

Comp-Attn: Present-and-Align Attention for Compositional Video Generation

Multimodal intelligence

Hongyu Zhang, Yufan Deng, Shenghai Yuan, Yian Zhao, Peng Jin, Xuehan Hou, Chang Liu, Jie Chen

ICML2026

BioDynaSpec: Harmonic-Guided Spatio-Spectral Autoregressive Diffusion for Protein Dynamics Generation

AI for Science (AI4S)

Mujie Lin, Yutian Liu, Yudi Guo, Yanzhen Hou, Yiheng Tao, Ruochong Zheng, Kaiwen Cheng, Xin Shan, Youdong Mao, Jie Chen

ICML2026

The Devil is in the Spectrum: Mitigating Representation Collapse in LLMs via Topologically Regularized Side-Path

Multimodal intelligence

Yiheng Tao, Kaiwen Cheng, Yao Lu, Chang Liu, Jie Chen

ECCV2026

RT-DETRv4: Painlessly Furthering Real-Time Object Detection with Vision Foundation Models

Zijun Liao, Yian Zhao, Xin Shan, Yu Yan, Chang Liu, Lei Lu, Xiangyang Ji, Jie Chen

ECCV2026

OmniHuman: A Large-scale Dataset and Benchmark for Human-Centric Video Generation

Multimodal intelligence

Lei Zhu, Xing Cai, Yingjie Chen, Yiheng Li, Binxin Yang, Hao Liu, Jie Chen, Chen Li, Jing Lyu

ECCV2026

RealDyadic: Synthesizing Realistic Dyadic 3D Dialogue with Neural Appearance Priors

Multimodal intelligence

Lei Zhu, Lijian Lin, Ye Zhu, Xuehan Hou, Jiahao Wu, Yu Li, Yunfei Liu, Jie Chen

NeurIPS2026

Tikhonov-Stabilized Bezier Representation Forecasting for Training-free Diffusion Acceleration

Lei Zhu, Mujie Lin, Ruochong Zheng, Guangyi Wang, Hao Li, Peng Jin, Chang Liu, Jie Chen

MMM2026

UI2V-Bench: An Understanding-Driven Image-to-video Generation Benchmark

Multimodal intelligence

Ailing Zhang, Lina Lei, Dehong Kong, Jiaqi Xu, Xuehan Hou, Fenglong Song, Chun-Le Guo, Fan Li, Jie Chen

2025

16 outputs
AAAI2025

DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs

Multimodal intelligence

Shiyu Li, Pengxu Wei, Pengchong Qiao, Chang Liu, Jie Chen

AAAI2025

Aligning Instance Brownian Bridge with Texts for Open-vocabulary Video Instance Segmentation

Multimodal intelligence

Zesen Cheng, Kehan Li, Li Hao, Peng Jin, Xiawu Zheng, Chang Liu, Jie Chen

TPAMI2025

Invertible Diffusion Models for Compressed Sensing

Bin Chen, Zhenyu Zhang, Weiqi Li, Chen Zhao, Jiwen Yu, Shijie Zhao, Jie Chen, Jian Zhang

Journal of Chemical Information and Modeling2025

A Unified Peptide Generative Framework via a Weakly Order-Dependent Autoregressive Language Model and Lifelong Learning

AI for Science (AI4S)

Zhiwei Nie, Daixi Li, Yutian Liu, Fan Xu, Hongyu Zhang, Xiansong Huang, Xudong Liu, Zhennan Wang, Yiming Ma, Yuxin Ye, Feng Yin, Wen-Bin Zhang, Zhixiang Ren, Zhihong Liu*, Zigang Li*, Jie Chen*

TMM2025

Oriented-derivative Representation for Boundary-aware Polyp Segmentation

Yuke Li, Mengjun Cheng, Xiawu Zheng, Rongrong Ji, Jie Chen*

Briefings in Bioinformatics2025

Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence

AI for Science (AI4S)

Zhiwei Nie, Yiming Ma, Yutian Liu, Xiansong Huang, Zhihong Liu, Peng Yang, Fan Xu, Feng Yin, Zigang Li, Jie Fu*, Zhixiang Ren*, Wen-Bin Zhang*, Jie Chen*

Briefings in Bioinformatics2025

Generative prediction of real-world prevalent SARS-CoV-2 mutation with in silico virus evolution

AI for Science (AI4S)

Liudong Liu, Zhiwei Nie, Haorui Si, Xurui Shen*, Yutian Liu, Xiansong Huang, Tianyi Dong, Fan Xu, Zhixiang Ren*, Peng Zhou*, Jie Chen*

NAACL2025

Enhancing Language Model Hypernetworks with Restart: A Study on Optimization

Multimodal intelligence

Yihan Zhang, Jie Fu, Rongrong Ji, Jie Chen*

ICASSP2025

RetinaStereo: Dynamic-Volume Stereo Matching Network

Xiaoyan Liao, Haoliang Zhao, Fan Yang, Kwokching Cheung, Jun Jiang, Yong Zhao, Jie Chen*, Xinan Wang*

CVPR2025

iSegMan: Interactive Segment-and-Manipulate 3D Gaussians

Yian Zhao, Wanshi Xu, Ruochong Zheng, Pengchong Qiao, Chang Liu, Jie Chen*

CVPR2025

Adversarial Diffusion Compression for Real-World Image Super-Resolution

Bin Chen, Gehui Li, Rongyuan Wu, Xindong Zhang, Jie Chen, Jian Zhang, Lei Zhang

IJCAI2025

MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction

AI for Science (AI4S)

Zishan Shu, Yufan Deng, Hongyu Zhang, Zhiwei Nie*, Jie Chen*

ICCV2025

Tune-Your-Style: Intensity-tunable 3D Style Transfer with Gaussian Splatting

Yian Zhao, Rushi Ye, Ruochong Zheng, Zesen Cheng, Chaoran Feng, Jiashu Yang, Pengchong Qiao, Chang Liu, Jie Chen*

ICCV2025

Temporal-aware Query Routing for Real-time Video Instance Segmentation

Zesen Cheng, Kehan Li, Yian Zhao, Hang Zhang, Chang Liu, Jie Chen*

PRCV2025

Referent-aligned Training for Unsupervised Interactive Segmentation

Luna Wang, Yian Zhao, Kehan Li, Jie Chen

2024

19 outputs
TPAMI2024

Hierarchical Banzhaf Interaction for General Video Language Representation Learning

Multimodal intelligence

Peng Jin*, Hao Li*, Li Yuan, Shuicheng Yan, Jie Chen

TMM2024

Dual-Level Masked Semantic Inference for Semi-Supervised Semantic Segmentation

Qiankun Ma*, Ziyao Zhang*, Pengchong Qiao, Yu Wang, Rongrong Ji, Chang Liu, Jie Chen

NeurIPS2024

HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting

Qiankun Gao, Jiarui Meng, Chengxiang Wen, Jie Chen, Jian Zhang

Neurocomputing2024

Hierarchical Collaboration for Referring Image Segmentation

Multimodal intelligence

Wei Zhang, Zesen Cheng, Jie Chen and Wen Gao

TCSVT2024

InterTeach: A Novel Approach for Semi-Supervised Medical Image Segmentation Using Cooperative Teacher-Student Networks

AI for Science (AI4S)

Ziyao Zhang, Qiankun Ma, Yihan Zhang, Zeyuan Chen, Jie Chen, Hairong Zheng

TMI2024

An Organ-aware Diagnosis Framework for Radiology Report Generation

Multimodal intelligenceAI for Science (AI4S)

Shiyu Li, Pengchong Qiao, Lin Wang, Munan Ning, Li Yuan, Yefeng Zheng, and Jie Chen

IJCV2024

Adaptive Fuzzy Positive Learning for Annotation-Scarce Semantic Segmentation

Pengchong Qiao, Yu Wang, Chang Liu, Lei Shang, Baigui Sun, Zhennan Wang, Xiawu Zheng, Rongrong Ji, Jie Chen

ECCV2024

Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation

Multimodal intelligence

Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Runyi Yu, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen

ECCV2024

Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-Diversified Documents

Multimodal intelligence

Mengjun Cheng, Chengquan Zhang, Chang Liu, Yuke Li, Bohan Li, Kun Yao, Xiawu Zheng, Rongrong Ji, Jie Chen

ECCV2024

ParCo: Part-Coordinating Text-to-Motion Synthesis

Multimodal intelligence

Qiran Zou, Shian Du, Yu Wang, Chang Liu, Yi Xu, Jie Chen, Xiangyang Ji

ECCV2024

Learning Pseudo 3D Guidance for View-consistent Texturing with 2D Diffusion

Kehan Li, Yanbo Fan, Yang Wu, Zhongqian Sun, Wei Yang, Xiangyang Ji, Li Yuan, Jie Chen

AAAI2024

Parallel Vertex Diffusion for Unified Visual Grounding

Multimodal intelligence

Zesen Cheng, Peng Jin, Kehan Li, Siheng Li, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

ICLR2024

Protein-Ligand Interaction Prior For Binding aware 3D Molecule Diffusion Models

AI for Science (AI4S)

Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Cui Bin, Wenming Yang

CVPR2024

DETRs Beat YOLOs on Real-time Object Detection

Yian Zhao, Wenyu Lv, Shangliang Xu, Jinman Wei, Guanzhong Wang, Qingqing Dang, Yi Liu, Jie Chen

CVPR2024

Fine-grained Simulation and Adaptation for Granularity-aware Interactive Segmentation

Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Chang Liu, Li Yuan, Xiawu Zheng, Rongrong Ji, Jie Chen

CVPR2024

Model Subject-Driven Generation as Building a Derived Class

Pengchong Qiao, Lei Shang, Chang Liu, Baigui Sun, Xiangyang Ji, Jie Chen

TPAMI2024

Training-Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution

Qinqin Zhou; Kekai Sheng; Xiawu Zheng; Ke Li; Yonghong Tian; Jie Chen; Rongrong Ji

ICME2024

HARIS: Human-Like Attention for Reference Image Segmentation

Multimodal intelligence

Mengxi Zhang,Heqing Lian,Yiming Liu,Jie Chen

Nature Communications2024

BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis

AI for Science (AI4S)

Zhiguang Qiu, Li Yuan, Chun-Ang Lian, Bin Lin, Jie Chen, Rong Mu, Xuejiao Qiao, Liyu Zhang, Zheng Xu, Lu Fan, Yunzeng Zhang, Shanquan Wang, Junyi Li, Huiluo Cao, Bing Li, Baowei Chen, Chi Song, Yongxin Liu, Lili Shi, Yonghong Tian, Jinren Ni, Tong Zhang, Jizhong Zhou, Wei-Qin Zhuang, Ke Yu

2023

23 outputs
CVPR2023

Fuzzy Positive Learning for Semi-supervised Semantic Segmentation

Pengchong Qiao, Zhidan Wei, Yu Wang, Zhennan Wang, Guoli Song, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen

CVPR2023

Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation

Zesen Cheng, Pengchong Qiao, Kehan Li, Siheng Li, Pengxu Wei, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

CVPR2023

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

Multimodal intelligence

Peng Jin, JinFa Huang, Pengfei Xiong, Shangxuan Tian, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen

CVPR2023

ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation

Kehan Li, Zhennan Wang, Zesen Cheng, Runyi Yu, Yian Zhao, Guoli Song, Chang Liu, Li Yuan, Jie Chen

CVPR2023

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning

Yu Wang, Pengchong Qiao, Guoli Song, Chang Liu, Xiawu Zheng, Jie Chen

CVPR2023

High-frequency Stereo Matching Network

Haoliang Zhao, Huizhou Zhou, Yongjun Zhang, Jie Chen, Yitong Yang, Yong Zhao

IJCAI2023

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment

Multimodal intelligence

Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen

IJCAI2023

TG-VQA: Ternary Game of Video Question Answering

Multimodal intelligence

Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen

IJCAI2023

WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation

Multimodal intelligence

Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li, Xiangyang Ji, Chang Liu, Jie Chen

ICCV2023

TopoSeg: Topology-Aware Nuclear Instance Segmentation

AI for Science (AI4S)

Hongliang He*, Jun Wang*, Pengxu Wei, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen

ICCV2023

LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization

Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Chang Liu, Haoyi Duan, Xiangyang Ji, Jie Chen

ICCV2023

Towards Real-World Burst Image Super-Resolution: Benchmark and Method

Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Guanbin Li, Jie Chen, Xiangyang Ji, Liang Lin

ICCV2023

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Multimodal intelligence

Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen

ICCV2023

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation

Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Pen Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

NeurIPS2023

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning

Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, Jie Chen

Nucleic Acids Research2023

Multiple sequence-alignment-based RNA language model and its application to structural inference

AI for Science (AI4S)

Yikun Zhang, Mei Lang, Jiuhong Jiang, Zhiqiang Gao, Fan Xu, Thomas Litfin, Ke Chen, Jaswinder Singh, Xiansong Huang, Guoli Song, Yonghong Tian, Jian Zhan, Jie Chen, Yaoqi Zhou

TMM2023

Flexible Alignment Super-Resolution Network for Multi-Contrast Magnetic Resonance Imaging

AI for Science (AI4S)

Yiming Liu, Mengxi Zhang, Bo Jiang, Bo Hou, Dan Liu, Jie Chen, Heqing Lian

TIP2023

Weakly-Supervised 3D Spatial Reasoning for Text-based Visual Question Answering

Multimodal intelligence

Hao Li, Jinfa Huang, Peng Jin, Guoli Song, Qi Wu, Jie Chen

AAAI2023

Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild

Jucai Zhai, Pengcheng Zeng, Chihao Ma, Jie Chen, Yong Zhao

ICASSP2023

Recurrent Fine-Grained Self-Attention Network For Video Crowd Counting

Jifan Zhang, Zhe Wu, Xinfeng Zhang, Guoli Song, Yaowei Wang, Jie Chen

ICASSP2023

Learning Task-Aligned Mask Query For Instance Segmentation

Bin Fu, Hongliang He, Pengxu Wei, Jie Chen

PRCV2023

Two-stage Deep Learning Segmentation for Tiny Brain Regions

Yan Ren, Xiawu Zheng, Rongrong Ji, Jie Chen

PRCV2023

Object-Aware Transfer-based Black-box Adversarial Attack on Object Detector

Zhuo Leng, Zesen Cheng, Pengxu Wei, Jie Chen

2022

14 outputs
arXiv2022

Difference in Euclidean Norm Can Cause Semantic Divergence in Batch Normalization

Wang Z, Li K, Yu R, et al.

Computer Sciences & Mathematics Forum2022

Dual Complementary Prototype Learning for Few-Shot Segmentation

Ren Q, Chen J

TITS2022

Robust and Hierarchical Spatial Relation Analysis for Traffic Forecasting

Zhang W, Wu Z, Zhang X, et al.

MICCAI2022

An Inclusive Task-Aware Framework for Radiology Report Generation

Multimodal intelligenceAI for Science (AI4S)

Wang L, Ning M, Lu D, et al.

CVPR Workshops2022

CENet: Consolidation-and-Exploration Network for Continuous Domain Adaptation

Zhang C, Cheng Y, Wei P, et al.

arXiv2022

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Multimodal intelligence

Jin P, Huang J, Liu F, et al.

ECCV2022

Locality guidance for improving vision transformers on tiny datasets

Li K, Yu R, Wang Z, et al.

ICME2022

Efficient Algorithm and Hardware Architecture for Rate Estimation in Mode Decision of AVS3

Yan Y, Xiang G, Xie X, et al.

arXiv2022

Joint learning of object graph and relation graph for visual question answering

Multimodal intelligence

Li H, Li X, Karimi B, et al.

CVPR2022

ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

Multimodal intelligence

Cheng M, Sun Y, Wang L, et al.

TNNLS2022

Carrying Out CNN Channel Pruning in a White Box

Zhang Y, Lin M, Lin C W, et al.

The International Journal of High Performance Computing Applications2022
Running ahead of evolution - AI based simulation for predicting future high-risk SARS-CoV-2 variants

Running ahead of evolution - AI based simulation for predicting future high-risk SARS-CoV-2 variants

AI for Science (AI4S)

Jie Chen, Zhiwei Nie, Yu Wang, Kai Wang, Fan Xu, Zhiheng Hu, Bin Zheng, Zhennan Wang, Guoli Song, Jingyi Zhang, Jie Fu, Xiansong Huang, Zhongqi Wang, Zhixiang Ren, Qiankun Wang, Daixi Li, Dongqing Wei, Bin Zhou, Chao Yang, Yonghong Tian

AI-based simulation for predicting future high-risk SARS-CoV-2 variants. A joint project shortlisted for the 2022 ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research.

TMI2022

Semi-supervised CT lesion segmentation using uncertainty-based data pairing and SwapMix

AI for Science (AI4S)

Pengchong Qiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, Jie Chen

2021

12 outputs
TNNLS2021

Memory attention networks for skeleton-based action recognition

Li C, Xie C, Zhang B, et al.

CVPR2021

Cola: Weakly-supervised temporal action localization with snippet contrastive learning

Zhang C, Cao M, Yang D, et al.

CVPR2021

Discover cross-modality nuances for visible-infrared person re-identification

Multimodal intelligence

Wu Q, Dai P, Chen J, et al.

Nature Communications2021

Annotation-efficient deep learning for automatic medical image segmentation

AI for Science (AI4S)

Wang S, Li C, Wang R, et al.

Frontiers in Molecular Biosciences2021

A hybrid-attention nested UNet for nuclear segmentation in histopathological images

AI for Science (AI4S)

He H, Zhang C, Chen J, et al.

Pattern Recognition2021

Joint segmentation and detection of COVID-19 via a sequential region generation network

AI for Science (AI4S)

Wu J, Xu H, Zhang S, et al.

ICCV2021

CDNet: Centripetal Direction Network for Nuclear Instance Segmentation

AI for Science (AI4S)

He H, Huang Z, Ding Y, et al.

MICCAI2021

Learnable Oriented-Derivative Network for Polyp Segmentation

AI for Science (AI4S)

Cheng M, Kong Z, Song G, et al.

TCSVT2021

Dynamic perception framework for fine-grained recognition

Ding Y, Han Z, Zhou Y, et al.

ICCV2021

ReCU: Reviving the Dead Weights in Binary Neural Networks

Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji

Frontiers in Molecular Biosciences2021

Multi-Task Classification and Segmentation for Explicable Capsule Endoscopy Diagnostics

Zishang Kong, Min He, Qianjiang Luo, Xiansong Huang, Pengxu Wei, Yalu Cheng, Luyang Chen, Yongsheng Liang, Yanchang Lu, Xi Li, Jie Chen

2020

7 outputs
IJCV2020

Deep Learning for Generic Object Detection: A Survey

Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen

TNNLS2020

SRN: Side-Output Residual Network for Object Reflection Symmetry Detection and Beyond

Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye

CVPR2020

AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification

Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian

ICASSP2020

Exploring Entity-level Spatial Relationships for Image-Text Matching

Multimodal intelligence

Yaxian Xia, Lun Huang, Wenmin Wang, Xiao-Yong Wei, Jie Chen

PRCV2020

An Automated Method with Feature Pyramid Encoder and Dual-Path Decoder for Nuclei Segmentation

Lijuan Duan, Xuan Feng, Jie Chen, Fan Xu

TIFS2020

Semi-supervised Natural Face De-occlusion

Jiancheng Cai, Han Hu, Jiyun Cui, Jie Chen, Li Liu, S. Kevin Zhou

MICCAI2020

BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting

A dataset and benchmark for detecting and counting positive and negative tumor cells. Images and HDF5 coordinate annotations are divided into training, validation, and test splits.

Dataset structure & loading example
BCData/images/{train,validation,test}/
BCData/annotations/{train,validation,test}/{positive,negative}/
import h5py
import numpy as np

gt_path = "BCData/annotations/train/positive/10.h5"
with h5py.File(gt_path, "r") as gt_file:
    coordinates = np.asarray(gt_file["coordinates"])

2019

6 outputs
TPAMI2019

Guest Editors’ Introduction to the Special Section on Compact and Efficient Feature Representation and Learning in Computer Vision

Li Liu, Matti Pietikäinen, Jie Chen, Guoying Zhao, Xiaogang Wang, Rama Chellappa

PRL2019

Deep contour and symmetry scored object proposal

Wei Ke, Jie Chen, Qixiang Ye

IJCV2019

From BoW to CNN: Two decades of texture representation for texture classification

Li Liu, Jie Chen, Paul Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen

NeurIPS2019

Adaptively Aligned Image Captioning via Adaptive Attention Time

Multimodal intelligence

Lun Huang, Wenmin Wang, Yaxian Xia, Jie Chen

ICCV2019

Attention on Attention for Image Captioning

Multimodal intelligence

Lun Huang, Wenmin Wang, Jie Chen, Xiao-Yong Wei

ACM Multimedia Asia2019

Tumor Tissue Segmentation for Histopathological Images

Xiansong Huang, Hongliang He, Pengxu Wei, Chi Zhang, Juncen Zhang, Jie Chen

2011

1 outputs
TPAMI2011

Maximal Linear Embedding for Dimensionality Reduction

Ruiping Wang, Shiguang Shan, Xilin Chen, Jie Chen, Wen Gao

2010

1 outputs
TPAMI2010

WLD: A Robust Local Image Descriptor

Jie Chen, Shiguang Shan, Chu He, Guoying Zhao, Matti Pietikäinen, Xilin Chen, Wen Gao

Ongoing

2 outputs
AI4S
Pengcheng Shennong

Pengcheng Shennong

AI for Science (AI4S)

AI-assisted targeted drug design and biomolecular research.

AI4S
MetaFold

MetaFold

AI for Science (AI4S)

Protein structure prediction research using the Pengcheng Cloudbrain II AI computing cluster.

Patents & software copyrights · 21
  1. 高志强,陈杰,乔鹏冲,田永鸿. 一种胸部CT图像病灶分割模型的训练方法及系统[P].申请号202110705914.8,2021年6月24日
  2. 黄锦发,陈杰,高志强,田永鸿 . 一种基于Transformer的CT报告生成方法[P].申请号202110795676.4,2021年7月14日
  3. 陈杰、田永鸿、高文、王中岐、王林. 一种基于任务感知的报告自动生成方法及装置[P].申请号202211156398.9,2022年9月22日 初审通过
  4. 陈杰、田永鸿、高文、王中岐、王林. 利用自然语言模型自动生成结构化报告的方法及相关设备[P].申请号202211078506.5,2022年9月5日 初审通过
  5. 田永鸿、杨文明、王天誉、陈杰. 一种药物-靶点交互作用预测方法、系统及终端设备[P].申请号202210632799.0,2022年6月7日
  6. 王珊珊,黄纬键,郑海荣,陈杰,周晖晖,田永鸿. 基于人机交互的模型训练方法、装置、终端及存储介质[P].申请号202211222416.9,2022年10月8日
  7. 王珊珊、吴若有、黄纬键、陈杰. 一种基于对抗样本的医学图像重建方法及相关装置[P]. 申请号202211425844.1,2022年11月16日
  8. 陈杰、田永鸿、高文、黄显淞、孔子尚.一种基于多任务学习的图像清洁度评估方法及相关装置[P].申请号202211475103.4,2022年11月23日
  9. 陈杰、田永鸿、高文、黄显淞、孔子尚.一种基于可学习方向导数的病灶边缘检测方法及相关装置[P].申请号202211475402.8,2022年11月23日
  10. 陈杰、田永鸿、高文、王中岐、王书博.一种基于区域互补聚合的人群计数方法及相关装置[P].申请号202211384415.4,2022年11月7日
  11. 高文,陈杰,田永鸿,施振辉、夏源. 基于图路径搜索和语义索引的医疗问答系统[P].申请号202211709241.4,2022年12月29日
  12. 高文,陈杰,田永鸿,王兆玮.一种基于数据增强的肝脏CT肿瘤分割方法[P].申请号202211623471.9,2022年12月16日
  13. 陈杰、田永鸿、高文、王中岐、任前. 基于注意力机制的小样本分割方法、装置、终端及介质[P].申请号202211569888.1,2022年12月8日
  14. 陈杰,田永鸿,高文,黄显淞,黄钟毅.一种基于中心点的细胞核分割方法[P].申请号202211705880.3,2022年12月29日
  15. 高文,陈杰,田永鸿,徐凡,耿睿哲.一种多尺度空间特征增强方法及装置[P].申请号202211569881.X,2022年12月8日
  16. 田永鸿,陈杰,高文,徐凡,张弛.一种基于领域对关联的迁移学习方法及装置[P].申请号202211581443.5,2022年12月9日
  17. 田永鸿,高文,陈杰,徐凡,耿睿哲.一种基于上下文特征融合的细胞核分割方法及相关设备[P].申请号202211580495.0,2022年12月9日
  18. 田永鸿,陈杰,高文,徐凡,张弛.基于自适应参数隔离的迁移学习方法、装置、终端及介质[P].申请号202211579420.0,2022年12月8日
  19. 陈杰、田永鸿、高文、黄显淞、徐凡、王中岐. 药物与蛋白质设计服务管理系统(软件著作权).2022R11L1872673
  20. 李代禧、陈杰、田永鸿、高文. 基于靶位结构和结合自由能的蛋白药物筛选软件(软件著作权).2022R11L1988060
  21. 李代禧、陈杰、田永鸿、高文. 基于Gromacs的分子模拟软件(软件著作权).2022R11L1995041
LAB RECORD

Honors & awards

2025

First Prize, National Science and Technology Progress Award.

2025

Zhiwei Nie received a Youth Outstanding Paper Award at the World Artificial Intelligence Conference for “A unified evolution-driven deep learning framework for virus variation driver prediction”.

2025

Zhiwei Nie was named a Qingyuan Scholar by the Chinese Association for Artificial Intelligence.Source

2024

Second Prize in the national final and First Prize in Guangdong, 2024 “Data Elements ×” Competition.Source

2024

“Zu Chongzhi” Annual Major Achievement Award for Frontier Innovation in Artificial Intelligence.Source

2023

Special Prize, Guangdong Science and Technology Progress Award.Source

2022

The joint team involving our group was one of three finalists worldwide for the ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research, and the only finalist team from China.Source

2022

First place on a CAMEO monthly leaderboard for protein structure prediction.Source

2015

Second Prize, National Science and Technology Progress Award: Local Modeling of Visual Patterns and Nonlinear Feature Acquisition — Theory and Methods.

2006

First place in the IAPR ICB 2006 Face Verification Competition, organized by Josef Kittler, University of Surrey, UK.

2005

Second Prize, National Science and Technology Progress Award: Face Recognition — Theory, Technology, Systems and Applications.

2004

First Prize in Face Verification, First China Biometrics Competition (BVC 2004).

Publication announcements & archive

2025

2 papers accepted to AAAI. Congratulations to Zishan Shu and Ruochong Zheng.

1 paper accepted to IEEE TMM. Congratulations to Yuke Li.

2 papers accepted to ICCV. Congratulations to Zesen Cheng and Yian Zhao.

2 papers accepted to CVPR. Congratulations to Yian Zhao and Bin Chen.

1 paper accepted to IJCAI. Congratulations to Zishan Shu.

3 papers accepted to IEEE TPAMI. Congratulations to Bin Chen, Yian Zhao, and Peng Jin.

1 paper accepted to NAACL. Congratulations to Yihan Zhang.

1 paper accepted to Nature Machine Intelligence. Congratulations to Zhiwei Nie.

2024

2 papers accepted to AAAI. Congratulations to Zesen Cheng and Shiyu Li.

1 paper accepted to IEEE TPAMI. Congratulations to Peng Jin and Hao Li.

2 papers accepted to IEEE TMM. Congratulations to Qiankun Ma and Yuke Li.

1 paper accepted to Nature Machine Intelligence. Congratulations to Zhiwei Nie and Xudong Liu.

1 paper accepted to IJCV. Congratulations to Pengchong Qiao.

4 papers accepted to ECCV. Congratulations to Peng Jin, Mengjun Cheng, Qiran Zou, and Kehan Li.

1 paper accepted to IEEE TMI. Congratulations to Shiyu Li.

1 paper selected as a CVPR Highlight. Congratulations to Yian Zhao.

3 papers accepted to CVPR. Congratulations to Pengchong Qiao and Yian Zhao.

1 paper accepted to ICLR. Congratulations to Zhilin Huang.

2023

1 paper accepted to AAAI. Congratulations to Zesen Cheng.

1 paper accepted to Nucleic Acids Research. Congratulations to Yikun Zhang.

1 paper accepted to NeurIPS. Congratulations to Yu Wang.

1 paper accepted to IEEE TMM. Congratulations to Yiming Liu.

5 papers accepted to ICCV. Congratulations to Pengxu Wei, Yujing Sun, Peng Jin, Kehan Li, Hongliang He, Jun Wang, and Runyi Yu.

1 paper recognized among the top 3% of papers at ICASSP. Congratulations to Bin Fu.

1 paper accepted to IEEE TIP. Congratulations to Hao Li.

3 papers accepted to IJCAI. Congratulations to Peng Jin, Hao Li, and Zesen Cheng.

3 papers selected as CVPR Highlights. Congratulations to Peng Jin, Kehan Li, and Haoliang Zhao.

6 papers accepted to CVPR. Congratulations to Pengchong Qiao, Zesen Cheng, Peng Jin, Kehan Li, Yu Wang, and Haoliang Zhao.

2 papers accepted to ICASSP. Congratulations to Jifan Zhang and Bin Fu.

From the archive

Pengcheng Shennong shortlisted for the ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research, the only shortlisted project from a Chinese team. Learn more about Pengcheng Shennong and the ACM Gordon Bell Prize using the links below.

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