Real-Time Route Planning for Unmanned Air Vehicle with an Evolutionary Algorithm. - Changwen Zheng; Mingyue Ding; Chengping Zhou (Int. J. Pattern Recognit. Artif. Intell., 2003)

Coevolving and cooperating path planner for multiple unmanned air vehicles. - Changwen Zheng; Mingyue Ding; Chengping Zhou; Lei Li 049 (Eng. Appl. Artif. Intell., 2004)

Performance evaluation on a double-layered satellite network. - Fengge Wu; Fuchun Sun 001; Ke Yu; Chang-Wen Zheng (Int. J. Satell. Commun. Netw., 2005)

Evolutionary Route Planner for Unmanned Air Vehicles. - Changwen Zheng; Lei Li 049; Fanjiang Xu; Fuchun Sun 001; Mingyue Ding (IEEE Trans. Robotics, 2005)

Mission-adaptable Route Planning in Uncertain and Adversarial Environment. - Ping Yan; Mingyue Ding; Changwen Zheng (Int. J. Artif. Intell. Tools, 2006)

A Time-Fuel optimal for spacecraft formation reconfiguration. - Shuyan Wang; Changwen Zheng; Yuxin Wang (IEEE Congress on Evolutionary Computation, 2007)

Route Planning for Unmanned Air Vehicles with Multiple Missions Using an Evolutionary Algorithm. - Ruoding Zhang; Changwen Zheng; Ping Yan (ICNC (3), 2007)

A genetic algorithm with gene rearrangement for K-means clustering. - Dong-Xia Chang; Xian-Da Zhang; Changwen Zheng (Pattern Recognit., 2009)

Lens dispersion simulation using dispersive lens model and spectral rendering method. - Jiaze Wu; Changwen Zheng; Xiaohui Hu; Fanjiang Xu (SIGGRAPH ASIA (Posters), 2010)

Implicit restricted quadtree based visualization of large scale terrain. - Jie Zhang; Changwen Zheng; Pin Lv; Xiaohui Hu (VRST, 2010)

A robust dynamic niching genetic algorithm with niche migration for automatic clustering problem. - Dong-Xia Chang; Xian-Da Zhang; Changwen Zheng; Daoming Zhang (Pattern Recognit., 2010)

Realistic rendering of bokeh effect based on optical aberrations. - Jiaze Wu; Changwen Zheng; Xiaohui Hu; Yang Wang; Liqiang Zhang (Vis. Comput., 2010)

An Accurate and Practical Camera Lens Model for Rendering Realistic Lens Effects. - Jiaze Wu; Changwen Zheng; Xiaohui Hu; Chao Li (CAD/Graphics, 2011)

A hypervolume based approach for minimal visual coverage shortest path. - Jie Li; Changwen Zheng; Xiaohui Hu (IEEE Congress on Evolutionary Computation, 2011)

Realistic Simulation of Peripheral Vision Using An Aspherical Eye Model. - Jiaze Wu; Changwen Zheng; Xiaohui Hu; Fanjiang Xu (Eurographics (Short Papers), 2011)

Implementing High-performance Intensity Model with Blur Effect on GPUs for Large-scale Star Image Simulation. - Chao Li; Yunquan Zhang; Changwen Zheng; Xiaohui Hu (IPDPS Workshops, 2012)

Quality-Optimized Authentication of Scalable Media Streams with Flexible Transcoding over Wireless Networks. - Xiaowei Yi; Mingyu Li; Gang Zheng; Changwen Zheng (MUSIC, 2012)

A genetic clustering algorithm using a message-based similarity measure. - Dongxia Chang; Yao Zhao 001; Changwen Zheng; Xianda Zhang 001 (Expert Syst. Appl., 2012)

Parallel Dynamic Cloud Rendering Method Based on Physical Cellular Automata Model. - Liqiang Zhang; Chao Li; Haoliang Sun; Changwen Zheng; Pin Lv (IEICE Trans. Inf. Syst., 2012)

A Fault-Tolerant Scheduling Algorithm using Hybrid Overloading Technology for Dynamic Grouping based Multiprocessor Systems. - Xingbiao Yu; Junsuo Zhao; Changwen Zheng; Xiaohui Hu (Int. J. Comput. Commun. Control, 2012)

A Hierarchical Evolutionary Trajectory Planner for Spacecraft Formation Reconfiguration. - Shuyan Wang; Changwen Zheng (IEEE Trans. Aerosp. Electron. Syst., 2012)

KD-tree based parallel adaptive rendering. - Xiao-Dan Liu; Jiaze Wu; Chang-Wen Zheng (Vis. Comput., 2012)

Simulation of Wave Effects Based on Ray Tracing. - Fukun Wu; Changwen Zheng (CAD/Graphics, 2013)

Analysis on the probability of electromagnetic compatibility in cognitive radio. - Kun Xu; Ming-xue Liao; Xiao-Xin He; Changwen Zheng; Hai-yu Ren (CrownCom, 2013)

Joint FEC codes and hash chains for optimizing authentication of JPEG2000 image streaming. - Xiaowei Yi; Yong Fu; Hengtai Ma; Changwen Zheng (ICME, 2013)

A comprehensive geometrical optics application for wave rendering. - Fukun Wu; Chang-Wen Zheng (Graph. Model., 2013)

A Practical Terrain Generation Method Using Sketch Map and Simple Parameters. - Hua Fei Yin; Chang-Wen Zheng (IEICE Trans. Inf. Syst., 2013)

Parallel adaptive sampling and reconstruction using multi-scale and directional analysis. - Xiao-Dan Liu; Chang-Wen Zheng (Vis. Comput., 2013)

Rendering realistic spectral bokeh due to lens stops and aberrations. - Jiaze Wu; Changwen Zheng; Xiaohui Hu; Fanjiang Xu (Vis. Comput., 2013)

Triangle mesh compression along the Hamiltonian cycle. - Jie Zhang; Changwen Zheng; Xiaohui Hu (Vis. Comput., 2013)

A capacity self-adaption information hiding algorithm based on RS code. - Hengtai Ma; Xiaowei Yi; Xiaohui Wu; Dingfeng Gu; Hui Pan; Changwen Zheng (MFI, 2014)

Adaptive importance photon shooting technique. - Xiao-Dan Liu; Chang-Wen Zheng (Comput. Graph., 2014)

Efficient authentication of scalable media streams over wireless networks. - Xiaowei Yi; Gang Zheng; Mingyu Li; Hengtai Ma; Changwen Zheng (Multim. Tools Appl., 2014)

Illumination Model for Two-layer Thin Film Structures. - Fukun Wu; Changwen Zheng (GRAPP, 2015)

Multidimensional Adaptive Sampling and Reconstruction for Realistic Image Based on BP Neural Network. - Yu Liu; Changwen Zheng; Fukun Wu (ICIG (2), 2015)

Photon Shooting with Programmable Scalar Contribution Function. - Quan Zheng 004; Chang-Wen Zheng (ICIG (3), 2015)

Adaptive contention window tuning for IEEE 802.11. - Xin Zhou; Changwen Zheng; Xiao-Xin He (ICT, 2015)

Full-feedback backoff algorithm for distributed wireless networks. - Xin Zhou; Changwen Zheng; Ming-xue Liao (IWCMC, 2015)

Interference Shader for Multilayer Films. - Fukun Wu; Changwen Zheng (VISIGRAPP (Selected Papers), 2015)

Microfacet-based interference simulation for multilayer films. - Fukun Wu; Chang-Wen Zheng (Graph. Model., 2015)

Adaptive cluster rendering via regression analysis. - Xiao-Dan Liu; Chang-Wen Zheng (Vis. Comput., 2015)

Visual importance-based adaptive photon tracing. - Quan Zheng 004; Chang-Wen Zheng (Vis. Comput., 2015)

Advanced physical optical model for simulating rainbows. - Jinsen Zhang; Changwen Zheng; Yu Liu (AICCSA, 2016)

In-band Busy Tone Protocol for QoS Support in Distributed Wireless Networks. - Xin Zhou; Changwen Zheng (ICCSA (1), 2016)

Adaptive rendering using Markov model. - Yu Liu; Changwen Zheng (ICNC-FSKD, 2016)

Adaptive light paths generation through full lens model. - Quan Zheng 004; Chang-Wen Zheng (ICNC-FSKD, 2016)

Busy Tone based Prioritized Access for distributed wireless networks. - Xin Zhou; Changwen Zheng (WoWMoM, 2016)

Adaptive Rendering Using a Best Matching Patch. - Yu Liu; Changwen Zheng (IEICE Trans. Inf. Syst., 2016)

A dynamic niching clustering algorithm based on individual-connectedness and its application to color image segmentation. - Dongxia Chang; Yao Zhao 001; Lian Liu; Changwen Zheng (Pattern Recognit., 2016)

Adaptive Rendering based on Adaptive Order Selection. - Hongliang Yuan; Changwen Zheng; Quan Zheng 004; Yu Liu (VISIGRAPP (1: GRAPP), 2017)

Parameters Sharing Multi-items Non-parametric Factor Microfacet Model for Isotropic and Anisotropic BRDFs. - Junkai Peng; Changwen Zheng; Pin Lv (ICIG (3), 2017)

NeuroLens: Data-Driven Camera Lens Simulation Using Neural Networks. - Quan Zheng 004; Changwen Zheng (Comput. Graph. Forum, 2017)

Adaptive rendering based on a weighted mixed-order estimator. - Hongliang Yuan; Changwen Zheng (Vis. Comput., 2017)

Adaptive sparse polynomial regression for camera lens simulation. - Quan Zheng 004; Changwen Zheng (Vis. Comput., 2017)

Denoising Monte Carlo Renderings based on a Robust High-order Function. - Yu Liu; Changwen Zheng; Hongliang Yuan (VISIGRAPP (1: GRAPP), 2018)

Removing Monte Carlo Noise with Compressed Sensing and Feature Information. - Changwen Zheng; Yu Liu (VISIGRAPP (1: GRAPP), 2018)

Image Elementary Manifold and Its Application in Image Analysis. - Chao Cai; Lingge Li; Changwen Zheng (ICCSIP (1), 2018)

Utilizing Chinese Dictionary Information in Named Entity Recognition. - Yun Hu 007; Mingxue Liao; Pin Lv; Changwen Zheng (ICCSIP (2), 2018)

Removing Monte Carlo noise using a Sobel operator and a guided image filter. - Yu Liu; Changwen Zheng; Quan Zheng 004; Hongliang Yuan (Vis. Comput., 2018)

Adaptive rendering based on robust principal component analysis. - Hongliang Yuan; Changwen Zheng (Vis. Comput., 2018)

An Empirical Data Selection Schema in Annotation Projection Approach. - Yun Hu 007; Mingxue Liao; Pin Lv; Changwen Zheng (CICLing (2), 2019)

An Empirical Study of Multi-domain and Multi-task Learning in Chinese Named Entity Recognition. - Yun Hu 007; Mingxue Liao; Pin Lv; Changwen Zheng (ICANN (2), 2019)

A New Coefficient for a Two-Scale Microfacet Reflectance Model. - Hongbin Yang; Mingxue Liao; Changwen Zheng; Pin Lv (ICIG (2), 2019)

Efficient Algorithm for Maximal Biclique Enumeration on Bipartite Graphs. - Caixia Qin; Mingxue Liao; Yuanyuan Liang; Changwen Zheng (ICNC-FSKD, 2019)

Sequencing the musical sections with deep learning. - Xuange Cui; Mingxue Liao; Pin Lv; Changwen Zheng (IJCNN, 2019)

An Optimized Forward Scheduling Algorithm in A Software-defined Satellite Network. - Teng Ling; Lixiang Liu; Changwen Zheng; Shuaijun Liu; Xi Zhou (SERA, 2019)

Street-view Change Detection via Siamese Encoder-decoder Structured Convolutional Neural Networks. - Xinwei Zhao; Haichang Li; Rui Wang 079; Changwen Zheng; Song Shi (VISIGRAPP (5: VISAPP), 2019)

A Double Adversarial Network Model for Multi-Domain and Multi-Task Chinese Named Entity Recognition. - Yun Hu 007; Changwen Zheng (IEICE Trans. Inf. Syst., 2020)

Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training. - Yun Hu 007; Yeshuang Zhu; Jinchao Zhang 001; Changwen Zheng; Jie Zhou 016 (ACL/IJCNLP (Findings), 2021)

A New Method of Wave Parameter Retrieve Based on Transformer. - Shuaiyu Chen; Changwen Zheng; Liguo Sun (ICCCS, 2021)

Multi-Task Based Marine Radar Tracking Network. - Mengjing Hu; Changwen Zheng; Liguo Sun (ICCCS, 2021)

A New Siamese Co-attention Network for Unsupervised Video Object Segmentation. - Zhenghao Zhang; Liguo Sun; Lingyu Si; Changwen Zheng (ICCCS, 2021)

Self-supervised Visual Representation Learning for Fine-Grained Ship Detection. - Gang Li; Yuncong Lei; Lingyu Si; Changwen Zheng (ICISCAE (IEEE), 2021)

Encoder-Decoder Joint Enhancement for Video Chat. - Zhenghao Zhang; Zhao Wang 004; Yan Ye; Shiqi Wang 001; Changwen Zheng (VCIP, 2021)

Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation. - Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Bing Su 001 (Knowl. Based Syst., 2021)

Weight-Aware Graph Contrastive Learning. - Hang Gao 004; Jiangmeng Li; Peng Qiao; Changwen Zheng (ICANN (2), 2022)

Self-supervised Representation Learning for the Object Detection of Marine Radar. - Lingyu Si; Gang Li; Changwen Zheng; Fanjiang Xu (ICCAI, 2022)

SimViT: Exploring a Simple Vision Transformer with Sliding Windows. - Gang Li; Di Xu; Xing Cheng; Lingyu Si; Changwen Zheng (ICME, 2022)

MetAug: Contrastive Learning via Meta Feature Augmentation. - Jiangmeng Li; Wenwen Qiang; Changwen Zheng; Bing Su 001; Hui Xiong 001 (ICML, 2022)

Interventional Contrastive Learning with Meta Semantic Regularizer. - Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Bing Su 001; Hui Xiong 001 (ICML, 2022)

Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. - Hang Gao 004; Jiangmeng Li; Wenwen Qiang; Lingyu Si; Fuchun Sun 001; Changwen Zheng (IJCAI, 2022)

SwinTransTrack: Multi-object Tracking Using Shifted Window Transformers. - Tianci Zhao; Changwen Zheng; Qingmeng Zhu; Hao He 003 (ISCIT, 2022)

MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. - Jiangmeng Li; Wenwen Qiang; Yanan Zhang; Wenyi Mo; Changwen Zheng; Bing Su 001; Hui Xiong 001 (NeurIPS, 2022)

SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. - Gang Li; Heliang Zheng; Daqing Liu; Chaoyue Wang; Bing Su 001; Changwen Zheng (NeurIPS, 2022)

Self-supervised Graph Learning with Segmented Graph Channels. - Hang Gao 004; Jiangmeng Li; Changwen Zheng (ECML/PKDD (2), 2022)

Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt. - Jiangmeng Li; Wenyi Mo; Wenwen Qiang; Bing Su 001; Changwen Zheng (CoRR, 2022)

3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models. - Gang Li; Heliang Zheng; Chaoyue Wang; Chang Li; Changwen Zheng; Dacheng Tao (CoRR, 2022)

Transductive distribution calibration for few-shot learning. - Gang Li; Changwen Zheng; Bing Su 001 (Neurocomputing, 2022)

RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding. - Jiangmeng Li; Wenwen Qiang; Changwen Zheng; Bing Su 001 (Knowl. Based Syst., 2022)

Scale-Insensitive Object Detection via Attention Feature Pyramid Transformer Network. - Lingling Li; Changwen Zheng; Cunli Mao; Haibo Deng; Taisong Jin (Neural Process. Lett., 2022)

Robust Causal Graph Representation Learning against Confounding Effects. - Hang Gao 004; Jiangmeng Li; Wenwen Qiang; Lingyu Si; Bing Xu; Changwen Zheng; Fuchun Sun 001 (AAAI, 2023)

Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. - Jiangmeng Li; Yanan Zhang; Wenwen Qiang; Lingyu Si; Chengbo Jiao; Xiaohui Hu; Changwen Zheng; Fuchun Sun 001 (AAAI, 2023)

Robust Hypergraph-Augmented Graph Contrastive Learning for Graph Self-Supervised Learning. - Zeming Wang; Xiaoyang Li; Rui Wang 079; Changwen Zheng (CACML, 2023)

Adaptive Graph Augmentation for Graph Contrastive Learning. - Zeming Wang; Xiaoyang Li; Rui Wang 079; Changwen Zheng (ICIC (4), 2023)

MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions. - Yi Li; Qingmeng Zhu; Hao He 003; Ziyin Gu; Changwen Zheng (ICONIP (2), 2023)

Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective. - Hang Gao 004; Jiangmeng Li; Wenwen Qiang; Lingyu Si; Xingzhe Su; Fengge Wu; Changwen Zheng; Fuchun Sun 001 (CoRR, 2023)

A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation. - Xingzhe Su; Wenwen Qiang; Zeen Song; Hang Gao 004; Fengge Wu; Changwen Zheng (CoRR, 2023)

A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning. - Lingyu Si; Hongwei Dong; Wenwen Qiang; Junzhi Yu; Wenlong Zhai; Changwen Zheng; Fanjiang Xu; Fuchun Sun 001 (CoRR, 2023)

Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation. - Xingzhe Su; Wenwen Qiang; Zeen Song; Hang Gao 004; Fengge Wu; Changwen Zheng (CoRR, 2023)

Towards the Sparseness of Projection Head in Self-Supervised Learning. - Zeen Song; Xingzhe Su; Jingyao Wang; Wenwen Qiang; Changwen Zheng; Fuchun Sun 001 (CoRR, 2023)

Learning to Sample Tasks for Meta Learning. - Jingyao Wang; Zeen Song; Xingzhe Su; Lingyu Si; Hongwei Dong; Wenwen Qiang; Changwen Zheng (CoRR, 2023)

CSSL-RHA: Contrastive Self-Supervised Learning for Robust Handwriting Authentication. - Jingyao Wang; Luntian Mou; Changwen Zheng; Wen Gao 001 (CoRR, 2023)

Unleash Model Potential: Bootstrapped Meta Self-supervised Learning. - Jingyao Wang; Zeen Song; Wenwen Qiang; Changwen Zheng (CoRR, 2023)

Hacking Task Confounder in Meta-Learning. - Jingyao Wang; Wenwen Qiang; Yi Ren; Zeen Song; Xingzhe Su; Changwen Zheng (CoRR, 2023)

GSGAN: Learning controllable geospatial images generation. - Xingzhe Su; Yijun Lin 002; Quan Zheng 004; Fengge Wu; Changwen Zheng; Junsuo Zhao (IET Image Process., 2023)

Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. - Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Bing Su 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification. - Hongwei Dong; Lingyu Si; Wenwen Qiang; Wuxia Miao; Changwen Zheng; Yuquan Wu; Lamei Zhang (Remote. Sens., 2023)

Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. - Jiangmeng Li; Wenwen Qiang; Changwen Zheng; Bing Su 001; Farid Razzak; Ji-Rong Wen; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Information theory-guided heuristic progressive multi-view coding. - Jiangmeng Li; Hang Gao 004; Wenwen Qiang; Changwen Zheng (Neural Networks, 2023)

Rethinking Causal Relationships Learning in Graph Neural Networks. - Hang Gao 004; Chengyu Yao; Jiangmeng Li; Lingyu Si; Yifan Jin; Fengge Wu; Changwen Zheng; Huaping Liu 001 (AAAI, 2024)

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. - Qirui Ji; Jiangmeng Li; Jie Hu 019; Rui Wang 079; Changwen Zheng; Fanjiang Xu (AAAI, 2024)

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. - Jiangmeng Li; Yifan Jin; Hang Gao 004; Wenwen Qiang; Changwen Zheng; Fuchun Sun 001 (AAAI, 2024)

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. - Chuxiong Sun; Zehua Zang; Jiabao Li; Jiangmeng Li; Xiao Xu; Rui Wang 079; Changwen Zheng (AAAI, 2024)

Radardiff: Improving Sea Clutter Suppression Using Diffusion Models for Radar Images. - Lingyu Si; Gang Li; Hongwei Dong; Changwen Zheng; Fanjiang Xu; Fuchun Sun 001 (ICASSP, 2024)

BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction. - Jiangmeng Li; Fei Song; Yifan Jin; Wenwen Qiang; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (ICLR, 2024)

Unbiased Image Synthesis via Manifold Guidance in Diffusion Models. - Xingzhe Su; Daixi Jia; Fengge Wu; Junsuo Zhao; Changwen Zheng; Wenwen Qiang (ICME, 2024)

Hacking Task Confounder in Meta-Learning. - Jingyao Wang; Yi Ren; Zeen Song; Jianqi Zhang; Changwen Zheng; Wenwen Qiang (IJCAI, 2024)

Object-aided Generative Adversarial Networks for Remote Sensing Image Generation. - Xingzhe Su; Daixi Jia; Fengge Wu; Junsuo Zhao; Changwen Zheng (IJCNN, 2024)

MSI: Multi-modal Recommendation via Superfluous Semantics Discarding and Interaction Preserving. - Yi Li; Qingmeng Zhu; Changwen Zheng; Jiangmeng Li (ICMR, 2024)

Not All Frequencies Are Created Equal: Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting. - Xingyu Zhang; Siyu Zhao; Zeen Song; Huijie Guo; Jianqi Zhang; Changwen Zheng; Wenwen Qiang (ACM Multimedia, 2024)

Graph Partial Label Learning with Potential Cause Discovering. - Hang Gao 004; Jiaguo Yuan; Jiangmeng Li; Chengyu Yao; Fengge Wu; Junsuo Zhao; Changwen Zheng (CoRR, 2024)

Intriguing Properties of Positional Encoding in Time Series Forecasting. - Jianqi Zhang; Jingyao Wang; Wenwen Qiang; Fanjiang Xu; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (CoRR, 2024)

Meta-Auxiliary Learning for Micro-Expression Recognition. - Jingyao Wang; Yunhan Tian; Yuxuan Yang; Xiaoxin Chen 004; Changwen Zheng; Wenwen Qiang (CoRR, 2024)

Explicitly Modeling Universality into Self-Supervised Learning. - Jingyao Wang; Wenwen Qiang; Zeen Song; Lingyu Si; Jiangmeng Li; Changwen Zheng; Bing Su 001 (CoRR, 2024)

Learning Invariant Causal Mechanism from Vision-Language Models. - Zeen Song; Siyu Zhao; Xingyu Zhang; Jiangmeng Li; Changwen Zheng; Wenwen Qiang (CoRR, 2024)

Interventional Imbalanced Multi-Modal Representation Learning via β-Generalization Front-Door Criterion. - Yi Li; Jiangmeng Li; Fei Song; Qingmeng Zhu; Changwen Zheng; Wenwen Qiang (CoRR, 2024)

Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting. - Xingyu Zhang; Siyu Zhao; Zeen Song; Huijie Guo; Jianqi Zhang; Changwen Zheng; Wenwen Qiang (CoRR, 2024)

On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. - Jingyao Wang; Wenwen Qiang; Jiangmeng Li; Lingyu Si; Changwen Zheng; Bing Su 001 (CoRR, 2024)

Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective. - Zeen Song; Jingyao Wang; Jianqi Zhang; Changwen Zheng; Wenwen Qiang (CoRR, 2024)

Rethinking Meta-Learning from a Learning Lens. - Jingyao Wang; Wenwen Qiang; Jiangmeng Li; Lingyu Si; Changwen Zheng (CoRR, 2024)

Neuromodulated Meta-Learning. - Jingyao Wang; Huijie Guo; Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Hui Xiong 001; Gang Hua 001 (CoRR, 2024)

DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation. - Yuxuan Yang; Jingyao Wang; Tao Geng; Wenwen Qiang; Changwen Zheng; Fuchun Sun 001 (CoRR, 2024)

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition. - Jingyao Wang; Yuxuan Yang; Wenwen Qiang; Changwen Zheng; Hui Xiong 001 (CoRR, 2024)

Introducing diminutive causal structure into graph representation learning. - Hang Gao 004; Peng Qiao; Yifan Jin; Fengge Wu; Jiangmeng Li; Changwen Zheng (Knowl. Based Syst., 2024)

A Novel Causal Inference-Guided Feature Enhancement Framework for PolSAR Image Classification. - Hongwei Dong; Lingyu Si; Wenwen Qiang; Lamei Zhang; Junzhi Yu; Yuquan Wu; Changwen Zheng; Fuchun Sun 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Manifold Constraint Regularization for Remote Sensing Image Generation. - Xingzhe Su; Changwen Zheng; Wenwen Qiang; Fengge Wu; Junsuo Zhao; Fuchun Sun 001; Hui Xiong 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation. - Lingyu Si; Hongwei Dong; Wenwen Qiang; Changwen Zheng; Junzhi Yu; Fuchun Sun 001 (Knowl. Based Syst., 2024)

Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. - Xingzhe Su; Wenwen Qiang; Jie Hu 019; Changwen Zheng; Fengge Wu; Fuchun Sun 001 (Int. J. Comput. Vis., 2024)

Towards Task Sampler Learning for Meta-Learning. - Jingyao Wang; Wenwen Qiang; Xingzhe Su; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (Int. J. Comput. Vis., 2024)

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach. - Hang Gao 004; Chenhao Zhang; Fengge Wu; Changwen Zheng; Junsuo Zhao; Huaping Liu 001 (AAAI, 2025)

MAP: Supporting Multimodal Knowledge Graph Completion via Augmented Modality Alignment and Instance Preserving. - Yi Li; Qingmeng Zhu; Fei Song; Changwen Zheng; Jiangmeng Li (ICASSP, 2025)

Less Yet Robust: Crucial Region Selection for Scene Recognition. - Jianqi Zhang; Mengxuan Wang; Jingyao Wang; Lingyu Si; Changwen Zheng; Fanjiang Xu (ICASSP, 2025)

Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective. - Chuxiong Sun; Peng He; Rui Wang 079; Changwen Zheng (AAMAS, 2025)

Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward Tasks. - Zehua Zang; Chuxiong Sun; Lixiang Liu; Fuchun Sun 001; Changwen Zheng (AAMAS, 2025)

On the discriminability of self-supervised representation learning. - Zeen Song; Wenwen Qiang; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (Inf. Sci., 2025)

Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt. - Jiangmeng Li; Wenyi Mo; Fei Song; Chuxiong Sun; Wenwen Qiang; Bing Su 001; Changwen Zheng (Neural Networks, 2025)

Intervening on few-shot object detection based on the front-door criterion. - Yanan Zhang; Jiangmeng Li; Qirui Ji; Kai Li; Lixiang Liu; Changwen Zheng; Wenwen Qiang (Neural Networks, 2025)

Image-Based Freeform Handwriting Authentication With Energy-Oriented Self-Supervised Learning. - Jingyao Wang; Luntian Mou; Changwen Zheng; Wen Gao 001 (IEEE Trans. Multim., 2025)

On the Generalization and Causal Explanation in Self-Supervised Learning. - Wenwen Qiang; Zeen Song; Ziyin Gu; Jiangmeng Li; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (Int. J. Comput. Vis., 2025)

Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning. - Hang Gao 004; Chenhao Zhang; Tie Wang; Junsuo Zhao; Fengge Wu; Changwen Zheng; Huaping Liu 001 (CoRR, 2025)

Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation. - Jingyao Wang; Jianqi Zhang; Wenwen Qiang; Changwen Zheng (CoRR, 2025)

Large Language Model Enhancers for Graph Neural Networks: An Analysis from the Perspective of Causal Mechanism Identification. - Hang Gao 004; Wenxuan Huang; Fengge Wu; Junsuo Zhao; Changwen Zheng; Huaping Liu 001 (CoRR, 2025)

Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs. - Jingyao Wang; Wenwen Qiang; Zeen Song; Changwen Zheng; Hui Xiong 001 (CoRR, 2025)

CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting. - Xingyu Zhang; Wenwen Qiang; Siyu Zhao; Huijie Guo; Jiangmeng Li; Chuxiong Sun; Changwen Zheng (CoRR, 2025)

On the Out-of-Distribution Generalization of Self-Supervised Learning. - Wenwen Qiang; Jingyao Wang; Zeen Song; Jiangmeng Li; Changwen Zheng (CoRR, 2025)

Reward Model Generalization for Compute-Aware Test-Time Reasoning. - Zeen Song; Wenwen Qiang; Siyu Zhao; Changwen Zheng; Gang Hua 001 (CoRR, 2025)

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation. - Wenwen Qiang; Ziyin Gu; Lingyu Si; Jiangmeng Li; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (CoRR, 2025)

Multi-Modal Learning with Bayesian-Oriented Gradient Calibration. - Peizheng Guo; Jingyao Wang; Huijie Guo; Jiangmeng Li; Chuxiong Sun; Changwen Zheng; Wenwen Qiang (CoRR, 2025)

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. - Jiangmeng Li; Zehua Zang; Qirui Ji; Chuxiong Sun; Wenwen Qiang; Junge Zhang; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (Int. J. Comput. Vis., 2025)

Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection. - Jingyao Wang; Yiming Chen; Lingyu Si; Changwen Zheng (CoRR, 2025)

Hacking Hallucinations of MLLMs with Causal Sufficiency and Necessity. - Peizheng Guo; Jingyao Wang; Wenwen Qiang; Huijie Guo; Changwen Zheng; Jiahuan Zhou; Gang Hua 001 (CoRR, 2025)

Group Causal Policy Optimization for Post-Training Large Language Models. - Ziyin Gu; Jingyao Wang; Ran Zuo; Chuxiong Sun; Zeen Song; Changwen Zheng; Wenwen Qiang (CoRR, 2025)