| 2026 | AAAI | Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration. | Huijie Guo, Jingyao Wang, Peizheng Guo, Xingchen Shen, Changwen Zheng, Wenwen Qiang |
| 2026 | AAAI | Group Causal Policy Optimization for Post-Training Large Language Models. | Ziyin Gu, Jingyao Wang, Ran Zuo, Chuxiong Sun, Zeen Song, Changwen Zheng, Wenwen Qiang |
| 2026 | AAAI | HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning. | Qirui Ji, Bin Qin, Yifan Jin, Yunze Zhao, Chuxiong Sun, Changwen Zheng, Jianwen Cao, Jiangmeng Li |
| 2026 | AAAI | Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models. | Fei Song, Yi Li, Rui Wang, Jiahuan Zhou, Changwen Zheng, Jiangmeng Li |
| 2026 | AAAI | TMAE: Learning Targeted Multi-Agent Exploration via Causal Inference. | Chuxiong Sun, Dunqi Yao, Rui Wang, Wenwen Qiang, Changwen Zheng, Jiangmeng Li |
| 2026 | WWW | Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning. | Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu, Changwen Zheng |
| 2025 | AAAI | Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach. | Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu |
| 2025 | ICASSP | MAP: Supporting Multimodal Knowledge Graph Completion via Augmented Modality Alignment and Instance Preserving. | Yi Li, Qingmeng Zhu, Fei Song, Changwen Zheng, Jiangmeng Li |
| 2025 | ICASSP | Less Yet Robust: Crucial Region Selection for Scene Recognition. | Jianqi Zhang, Mengxuan Wang, Jingyao Wang, Lingyu Si, Changwen Zheng, Fanjiang Xu |
| 2025 | ICML | LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification. | Hang Gao, Wenxuan Huang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu |
| 2025 | ICML | On the Out-of-Distribution Generalization of Self-Supervised Learning. | Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li, Changwen Zheng |
| 2025 | ICML | Learning Invariant Causal Mechanism from Vision-Language Models. | Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang |
| 2025 | ICML | Towards the Causal Complete Cause of Multi-Modal Representation Learning. | Jingyao Wang, Siyu Zhao, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong |
| 2025 | IJCAI | Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning. | Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu |
| 2024 | AAAI | Rethinking Causal Relationships Learning in Graph Neural Networks. | Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu |
| 2024 | AAAI | Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. | Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu |
| 2024 | AAAI | Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. | Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun |
| 2024 | AAAI | 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, Changwen Zheng |
| 2024 | ICASSP | Radardiff: Improving Sea Clutter Suppression Using Diffusion Models for Radar Images. | Lingyu Si, Gang Li, Hongwei Dong, Changwen Zheng, Fanjiang Xu, Fuchun Sun |
| 2024 | ICLR | 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, Hui Xiong |
| 2024 | IJCAI | Hacking Task Confounder in Meta-Learning. | Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang |
| 2024 | IJCNN | Object-aided Generative Adversarial Networks for Remote Sensing Image Generation. | Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng |
| 2023 | AAAI | Robust Causal Graph Representation Learning against Confounding Effects. | Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun |
| 2023 | AAAI | 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 |
| 2023 | ICONIP | MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions. | Yi Li, Qingmeng Zhu, Hao He, Ziyin Gu, Changwen Zheng |
| 2022 | ICANN | Weight-Aware Graph Contrastive Learning. | Hang Gao, Jiangmeng Li, Peng Qiao, Changwen Zheng |
| 2022 | ICML | MetAug: Contrastive Learning via Meta Feature Augmentation. | Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong |
| 2022 | ICML | Interventional Contrastive Learning with Meta Semantic Regularizer. | Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong |
| 2022 | IJCAI | Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. | Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng |
| 2021 | ACL | Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training. | Yun Hu, Yeshuang Zhu, Jinchao Zhang, Changwen Zheng, Jie Zhou |
| 2021 | VCIP | Encoder-Decoder Joint Enhancement for Video Chat. | Zhenghao Zhang, Zhao Wang, Yan Ye, Shiqi Wang, Changwen Zheng |
| 2019 | CICLING | An Empirical Data Selection Schema in Annotation Projection Approach. | Yun Hu, Mingxue Liao, Pin Lv, Changwen Zheng |
| 2019 | ICANN | An Empirical Study of Multi-domain and Multi-task Learning in Chinese Named Entity Recognition. | Yun Hu, Mingxue Liao, Pin Lv, Changwen Zheng |
| 2019 | ICIG | A New Coefficient for a Two-Scale Microfacet Reflectance Model. | Hongbin Yang, Mingxue Liao, Changwen Zheng, Pin Lv |
| 2019 | ICNC | Efficient Algorithm for Maximal Biclique Enumeration on Bipartite Graphs. | Caixia Qin, Mingxue Liao, Yuanyuan Liang, Changwen Zheng |
| 2019 | IJCNN | Sequencing the musical sections with deep learning. | Xuange Cui, Mingxue Liao, Pin Lv, Changwen Zheng |
| 2019 | SERA | An Optimized Forward Scheduling Algorithm in A Software-defined Satellite Network. | Teng Ling, Lixiang Liu, Changwen Zheng, Shuaijun Liu, Xi Zhou |
| 2017 | ICIG | Parameters Sharing Multi-items Non-parametric Factor Microfacet Model for Isotropic and Anisotropic BRDFs. | Junkai Peng, Changwen Zheng, Pin Lv |
| 2016 | AICCSA | Advanced physical optical model for simulating rainbows. | Jinsen Zhang, Changwen Zheng, Yu Liu |
| 2016 | ICCSA | In-band Busy Tone Protocol for QoS Support in Distributed Wireless Networks. | Xin Zhou, Changwen Zheng |
| 2016 | ICNC | Adaptive rendering using Markov model. | Yu Liu, Changwen Zheng |
| 2016 | WoWMoM | Busy Tone based Prioritized Access for distributed wireless networks. | Xin Zhou, Changwen Zheng |
| 2015 | ICIG | Multidimensional Adaptive Sampling and Reconstruction for Realistic Image Based on BP Neural Network. | Yu Liu, Changwen Zheng, Fukun Wu |
| 2015 | IWCMC | Full-feedback backoff algorithm for distributed wireless networks. | Xin Zhou, Changwen Zheng, Ming-xue Liao |
| 2011 | CEC | A hypervolume based approach for minimal visual coverage shortest path. | Jie Li, Changwen Zheng, Xiaohui Hu |
| 2010 | SiggraphA | Lens dispersion simulation using dispersive lens model and spectral rendering method. | Jiaze Wu, Changwen Zheng, Xiaohui Hu, Fanjiang Xu |
| 2010 | VRST | Implicit restricted quadtree based visualization of large scale terrain. | Jie Zhang, Changwen Zheng, Pin Lv, Xiaohui Hu |
| 2007 | CEC | A Time-Fuel optimal for spacecraft formation reconfiguration. | Shuyan Wang, Changwen Zheng, Yuxin Wang |
| 2007 | ICNC | Route Planning for Unmanned Air Vehicles with Multiple Missions Using an Evolutionary Algorithm. | Ruoding Zhang, Changwen Zheng, Ping Yan |