Changwen Zheng

205 papers A* 28A 5B 7C 4Misc 3Journal 121Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Uncertainty-Aware Tree Search for Robust Reasoning. CoRR Zeen Song, Zihao Ma, Wenwen Qiang, Changwen Zheng, Gang Hua
2026	J	`jnl`	AmPLe: Supporting Vision-Language Models via Adaptive-Debiased Ensemble Multi-Prompt Learning. Int. J. Comput. Vis. Fei Song, Yi Li, Jiangmeng Li, Rui Wang, Changwen Zheng, Fanjiang Xu, Hui Xiong
2026	J	`jnl`	CAMD: Coverage-Aware Multimodal Decoding for Efficient Reasoning of Multimodal Large Language Models. CoRR Huijie Guo, Jingyao Wang, Lingyu Si, Jiahuan Zhou, Changwen Zheng, Wenwen Qiang
2026	J	`jnl`	Causal Front-Door Adjustment for Robust Jailbreak Attacks on LLMs. CoRR Yao Zhou, Zeen Song, Wenwen Qiang, Fengge Wu, Shuyi Zhou, Changwen Zheng, Hui Xiong
2026	J	`jnl`	Closing the Loop: A Control-Theoretic Framework for Provably Stable Time Series Forecasting with LLMs. CoRR Xingyu Zhang, Hanyun Du, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang
2026	A*	`conf`	Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models. AAAI Fei Song, Yi Li, Rui Wang, Jiahuan Zhou, Changwen Zheng, Jiangmeng Li
2026	A*	`conf`	Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning. WWW Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu, Changwen Zheng
2026	J	`jnl`	Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning. CoRR Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu, Changwen Zheng
2026	A*	`conf`	Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration. AAAI Huijie Guo, Jingyao Wang, Peizheng Guo, Xingchen Shen, Changwen Zheng, Wenwen Qiang
2026	A*	`conf`	Group Causal Policy Optimization for Post-Training Large Language Models. AAAI Ziyin Gu, Jingyao Wang, Ran Zuo, Chuxiong Sun, Zeen Song, Changwen Zheng, Wenwen Qiang
2026	A*	`conf`	HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning. AAAI Qirui Ji, Bin Qin, Yifan Jin, Yunze Zhao, Chuxiong Sun, Changwen Zheng, Jianwen Cao, Jiangmeng Li
2026	J	`jnl`	On the Plasticity and Stability for Post-Training Large Language Models. CoRR Wenwen Qiang, Ziyin Gu, Jiahuan Zhou, Jie Hu, Jingyao Wang, Changwen Zheng, Hui Xiong
2026	J	`jnl`	On the Transferability and Discriminability of Representation Learning in Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Wenwen Qiang, Ziyin Gu, Lingyu Si, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong
2026	J	`jnl`	S2I-DiT: Unlocking the semantic-to-image transferability by fine-tuning large diffusion transformer models. Pattern Recognit. Gang Li, Enze Xie, Chongjian Ge, Xiang Li, Lingyu Si, Changwen Zheng, Zhenguo Li
2026	J	`jnl`	Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective. Int. J. Comput. Vis. Zeen Song, Wenwen Qiang, Changwen Zheng, Hui Xiong, Gang Hua
2026	A*	`conf`	TMAE: Learning Targeted Multi-Agent Exploration via Causal Inference. AAAI Chuxiong Sun, Dunqi Yao, Rui Wang, Wenwen Qiang, Changwen Zheng, Jiangmeng Li
2026	J	`jnl`	Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning. CoRR Jingyao Wang, Peizheng Guo, Wenwen Qiang, Jiahuan Zhou, Huijie Guo, Changwen Zheng, Hui Xiong
2026	J	`jnl`	UVENet: A novel end-to-end model for temporal consistency in underwater video enhancement. Neural Networks Huijie Guo, Dazhao Du, Hongwei Dong, Shouyou Huang, Changwen Zheng, Lingyu Si
2025	A*	`conf`	Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection. ACM Multimedia Jingyao Wang, Yiming Chen, Lingyu Si, Changwen Zheng
2025	J	`jnl`	Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection. CoRR Jingyao Wang, Yiming Chen, Lingyu Si, Changwen Zheng
2025	J	`jnl`	AmPLe: Supporting Vision-Language Models via Adaptive-Debiased Ensemble Multi-Prompt Learning. CoRR Fei Song, Yi Li, Jiangmeng Li, Rui Wang, Changwen Zheng, Fanjiang Xu, Hui Xiong
2025	A*	`conf`	Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach. AAAI Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu
2025	J	`jnl`	CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting. CoRR Xingyu Zhang, Wenwen Qiang, Siyu Zhao, Huijie Guo, Jiangmeng Li, Chuxiong Sun, Changwen Zheng
2025	J	`jnl`	Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation. CoRR Jingyao Wang, Jianqi Zhang, Wenwen Qiang, Changwen Zheng
2025	J	`jnl`	Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models. CoRR Fei Song, Yi Li, Rui Wang, Jiahuan Zhou, Changwen Zheng, Jiangmeng Li
2025	J	`jnl`	Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration. CoRR Huijie Guo, Jingyao Wang, Peizheng Guo, Xingchen Shen, Changwen Zheng, Wenwen Qiang
2025	J	`jnl`	Group Causal Policy Optimization for Post-Training Large Language Models. CoRR Ziyin Gu, Jingyao Wang, Ran Zuo, Chuxiong Sun, Zeen Song, Changwen Zheng, Wenwen Qiang
2025	J	`jnl`	HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning. CoRR Qirui Ji, Bin Qin, Yifan Jin, Yunze Zhao, Chuxiong Sun, Changwen Zheng, Jianwen Cao, Jiangmeng Li
2025	J	`jnl`	Hacking Hallucinations of MLLMs with Causal Sufficiency and Necessity. CoRR Peizheng Guo, Jingyao Wang, Wenwen Qiang, Huijie Guo, Changwen Zheng, Jiahuan Zhou, Gang Hua
2025	J	`jnl`	Image-Based Freeform Handwriting Authentication With Energy-Oriented Self-Supervised Learning. IEEE Trans. Multim. Jingyao Wang, Luntian Mou, Changwen Zheng, Wen Gao
2025	J	`jnl`	Intervening on few-shot object detection based on the front-door criterion. Neural Networks Yanan Zhang, Jiangmeng Li, Qirui Ji, Kai Li, Lixiang Liu, Changwen Zheng, Wenwen Qiang
2025	A*	`conf`	LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification. ICML Hang Gao, Wenxuan Huang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu
2025	J	`jnl`	Large Language Model Enhancers for Graph Neural Networks: An Analysis from the Perspective of Causal Mechanism Identification. CoRR Hang Gao, Wenxuan Huang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu
2025	A*	`conf`	Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning. IJCAI Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu
2025	J	`jnl`	Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning. CoRR Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu
2025	J	`jnl`	Learning Complementary Knowledge via Trusted Multi-view Space Decomposition for Self-Supervised Contrastive Learning. Mach. Learn. Jiangmeng Li, Yunze Zhao, Yifan Jin, Changwen Zheng, Wenwen Qiang
2025	A*	`conf`	Learning Invariant Causal Mechanism from Vision-Language Models. ICML Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang
2025	J	`jnl`	Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs. CoRR Jingyao Wang, Wenwen Qiang, Zeen Song, Changwen Zheng, Hui Xiong
2025	Misc	`conf`	Less Yet Robust: Crucial Region Selection for Scene Recognition. ICASSP Jianqi Zhang, Mengxuan Wang, Jingyao Wang, Lingyu Si, Changwen Zheng, Fanjiang Xu
2025	A	`conf`	Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward Tasks. AAMAS Zehua Zang, Chuxiong Sun, Lixiang Liu, Fuchun Sun, Changwen Zheng
2025	Misc	`conf`	MAP: Supporting Multimodal Knowledge Graph Completion via Augmented Modality Alignment and Instance Preserving. ICASSP Yi Li, Qingmeng Zhu, Fei Song, Changwen Zheng, Jiangmeng Li
2025	J	`jnl`	Multi-Modal Learning with Bayesian-Oriented Gradient Calibration. CoRR Peizheng Guo, Jingyao Wang, Huijie Guo, Jiangmeng Li, Chuxiong Sun, Changwen Zheng, Wenwen Qiang
2025	J	`jnl`	On the Generalization and Causal Explanation in Self-Supervised Learning. Int. J. Comput. Vis. Wenwen Qiang, Zeen Song, Ziyin Gu, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong
2025	A*	`conf`	On the Out-of-Distribution Generalization of Self-Supervised Learning. ICML Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li, Changwen Zheng
2025	J	`jnl`	On the Out-of-Distribution Generalization of Self-Supervised Learning. CoRR Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li, Changwen Zheng
2025	J	`jnl`	On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation. CoRR Wenwen Qiang, Ziyin Gu, Lingyu Si, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong
2025	J	`jnl`	On the discriminability of self-supervised representation learning. Inf. Sci. Zeen Song, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong
2025	J	`jnl`	Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. Int. J. Comput. Vis. Jiangmeng Li, Zehua Zang, Qirui Ji, Chuxiong Sun, Wenwen Qiang, Junge Zhang, Changwen Zheng, Fuchun Sun, Hui Xiong
2025	A	`conf`	Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective. AAMAS Chuxiong Sun, Peng He, Rui Wang, Changwen Zheng
2025	J	`jnl`	Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective. CoRR Chuxiong Sun, Peng He, Rui Wang, Changwen Zheng
2025	J	`jnl`	Reward Model Generalization for Compute-Aware Test-Time Reasoning. CoRR Zeen Song, Wenwen Qiang, Siyu Zhao, Changwen Zheng, Gang Hua
2025	J	`jnl`	Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt. Neural Networks Jiangmeng Li, Wenyi Mo, Fei Song, Chuxiong Sun, Wenwen Qiang, Bing Su, Changwen Zheng
2025	A*	`conf`	Towards the Causal Complete Cause of Multi-Modal Representation Learning. ICML Jingyao Wang, Siyu Zhao, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong
2024	J	`jnl`	A Novel Causal Inference-Guided Feature Enhancement Framework for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. Hongwei Dong, Lingyu Si, Wenwen Qiang, Lamei Zhang, Junzhi Yu, Yuquan Wu, Changwen Zheng, Fuchun Sun
2024	A*	`conf`	BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction. ICLR Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong
2024	J	`jnl`	BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction. CoRR Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong
2024	J	`jnl`	Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach. CoRR Hang Gao, Chenhao Zhang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu
2024	J	`jnl`	DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation. CoRR Yuxuan Yang, Jingyao Wang, Tao Geng, Wenwen Qiang, Changwen Zheng, Fuchun Sun
2024	J	`jnl`	Explicitly Modeling Universality into Self-Supervised Learning. CoRR Jingyao Wang, Wenwen Qiang, Zeen Song, Lingyu Si, Jiangmeng Li, Changwen Zheng, Bing Su
2024	J	`jnl`	Graph Partial Label Learning with Potential Cause Discovering. CoRR Hang Gao, Jiaguo Yuan, Jiangmeng Li, Chengyu Yao, Fengge Wu, Junsuo Zhao, Changwen Zheng
2024	A*	`conf`	Hacking Task Confounder in Meta-Learning. IJCAI Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang
2024	A*	`conf`	Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. AAAI Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun
2024	J	`jnl`	Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning. CoRR Jingyao Wang, Luntian Mou, Changwen Zheng, Wen Gao
2024	J	`jnl`	Interventional Imbalanced Multi-Modal Representation Learning via β-Generalization Front-Door Criterion. CoRR Yi Li, Jiangmeng Li, Fei Song, Qingmeng Zhu, Changwen Zheng, Wenwen Qiang
2024	J	`jnl`	Intriguing Properties of Positional Encoding in Time Series Forecasting. CoRR Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu, Changwen Zheng, Fuchun Sun, Hui Xiong
2024	J	`jnl`	Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. Int. J. Comput. Vis. Xingzhe Su, Wenwen Qiang, Jie Hu, Changwen Zheng, Fengge Wu, Fuchun Sun
2024	J	`jnl`	Introducing Diminutive Causal Structure into Graph Representation Learning. CoRR Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng
2024	J	`jnl`	Introducing diminutive causal structure into graph representation learning. Knowl. Based Syst. Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng
2024	J	`jnl`	Learning Invariant Causal Mechanism from Vision-Language Models. CoRR Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang
2024	J	`jnl`	Less yet robust: crucial region selection for scene recognition. CoRR Jianqi Zhang, Mengxuan Wang, Jingyao Wang, Lingyu Si, Changwen Zheng, Fanjiang Xu
2024	B	`conf`	MSI: Multi-modal Recommendation via Superfluous Semantics Discarding and Interaction Preserving. ICMR Yi Li, Qingmeng Zhu, Changwen Zheng, Jiangmeng Li
2024	J	`jnl`	Manifold Constraint Regularization for Remote Sensing Image Generation. IEEE Trans. Geosci. Remote. Sens. Xingzhe Su, Changwen Zheng, Wenwen Qiang, Fengge Wu, Junsuo Zhao, Fuchun Sun, Hui Xiong
2024	J	`jnl`	Meta-Auxiliary Learning for Micro-Expression Recognition. CoRR Jingyao Wang, Yunhan Tian, Yuxuan Yang, Xiaoxin Chen, Changwen Zheng, Wenwen Qiang
2024	J	`jnl`	Neuromodulated Meta-Learning. CoRR Jingyao Wang, Huijie Guo, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Hui Xiong, Gang Hua
2024	A*	`conf`	Not All Frequencies Are Created Equal: Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting. ACM Multimedia Xingyu Zhang, Siyu Zhao, Zeen Song, Huijie Guo, Jianqi Zhang, Changwen Zheng, Wenwen Qiang
2024	J	`jnl`	Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting. CoRR Xingyu Zhang, Siyu Zhao, Zeen Song, Huijie Guo, Jianqi Zhang, Changwen Zheng, Wenwen Qiang
2024	B	`conf`	Object-aided Generative Adversarial Networks for Remote Sensing Image Generation. IJCNN Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng
2024	J	`jnl`	On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. CoRR Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng, Bing Su
2024	J	`jnl`	On the Discriminability of Self-Supervised Representation Learning. CoRR Zeen Song, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong
2024	J	`jnl`	On the Generalization and Causal Explanation in Self-Supervised Learning. CoRR Wenwen Qiang, Zeen Song, Ziyin Gu, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong
2024	Misc	`conf`	Radardiff: Improving Sea Clutter Suppression Using Diffusion Models for Radar Images. ICASSP Lingyu Si, Gang Li, Hongwei Dong, Changwen Zheng, Fanjiang Xu, Fuchun Sun
2024	J	`jnl`	Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation. Knowl. Based Syst. Lingyu Si, Hongwei Dong, Wenwen Qiang, Changwen Zheng, Junzhi Yu, Fuchun Sun
2024	A*	`conf`	Rethinking Causal Relationships Learning in Graph Neural Networks. AAAI Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu
2024	A*	`conf`	Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. AAAI Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu
2024	J	`jnl`	Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. CoRR Jiangmeng Li, Zehua Zang, Qirui Ji, Chuxiong Sun, Wenwen Qiang, Junge Zhang, Changwen Zheng, Fuchun Sun, Hui Xiong
2024	J	`jnl`	Rethinking Meta-Learning from a Learning Lens. CoRR Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng
2024	J	`jnl`	Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective. CoRR Zeen Song, Jingyao Wang, Jianqi Zhang, Changwen Zheng, Wenwen Qiang
2024	J	`jnl`	Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition. CoRR Jingyao Wang, Yuxuan Yang, Wenwen Qiang, Changwen Zheng, Hui Xiong
2024	A*	`conf`	T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. AAAI Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li, Xiao Xu, Rui Wang, Changwen Zheng
2024	J	`jnl`	T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. CoRR Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li, Xiao Xu, Rui Wang, Changwen Zheng
2024	J	`jnl`	Towards Task Sampler Learning for Meta-Learning. Int. J. Comput. Vis. Jingyao Wang, Wenwen Qiang, Xingzhe Su, Changwen Zheng, Fuchun Sun, Hui Xiong
2024	A	`conf`	Unbiased Image Synthesis via Manifold Guidance in Diffusion Models. ICME Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng, Wenwen Qiang
2023	J	`jnl`	A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning. CoRR Lingyu Si, Hongwei Dong, Wenwen Qiang, Junzhi Yu, Wenlong Zhai, Changwen Zheng, Fanjiang Xu, Fuchun Sun
2023	J	`jnl`	A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification. Remote. Sens. Hongwei Dong, Lingyu Si, Wenwen Qiang, Wuxia Miao, Changwen Zheng, Yuquan Wu, Lamei Zhang
2023	J	`jnl`	A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation. CoRR Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
2023	—	`conf`	Adaptive Graph Augmentation for Graph Contrastive Learning. ICIC (4) Zeming Wang, Xiaoyang Li, Rui Wang, Changwen Zheng
2023	J	`jnl`	CSSL-RHA: Contrastive Self-Supervised Learning for Robust Handwriting Authentication. CoRR Jingyao Wang, Luntian Mou, Changwen Zheng, Wen Gao
2023	A*	`conf`	Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. AAAI Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun
2023	J	`jnl`	GSGAN: Learning controllable geospatial images generation. IET Image Process. Xingzhe Su, Yijun Lin, Quan Zheng, Fengge Wu, Changwen Zheng, Junsuo Zhao
2023	J	`jnl`	Hacking Task Confounder in Meta-Learning. CoRR Jingyao Wang, Wenwen Qiang, Yi Ren, Zeen Song, Xingzhe Su, Changwen Zheng
2023	J	`jnl`	Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. CoRR Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun
2023	J	`jnl`	Information Theory-Guided Heuristic Progressive Multi-View Coding. CoRR Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng
2023	J	`jnl`	Information theory-guided heuristic progressive multi-view coding. Neural Networks Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng
2023	J	`jnl`	Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. CoRR Xingzhe Su, Wenwen Qiang, Jie Hu, Fengge Wu, Changwen Zheng, Fuchun Sun
2023	J	`jnl`	Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective. CoRR Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Xingzhe Su, Fengge Wu, Changwen Zheng, Fuchun Sun
2023	J	`jnl`	Learning to Sample Tasks for Meta Learning. CoRR Jingyao Wang, Zeen Song, Xingzhe Su, Lingyu Si, Hongwei Dong, Wenwen Qiang, Changwen Zheng
2023	—	`conf`	MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions. ICONIP (2) Yi Li, Qingmeng Zhu, Hao He, Ziyin Gu, Changwen Zheng
2023	J	`jnl`	Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation. CoRR Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
2023	J	`jnl`	Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. IEEE Trans. Knowl. Data Eng. Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong
2023	J	`jnl`	Rethinking Causal Relationships Learning in Graph Neural Networks. CoRR Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu
2023	J	`jnl`	Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. CoRR Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu
2023	A*	`conf`	Robust Causal Graph Representation Learning against Confounding Effects. AAAI Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun
2023	—	`conf`	Robust Hypergraph-Augmented Graph Contrastive Learning for Graph Self-Supervised Learning. CACML Zeming Wang, Xiaoyang Li, Rui Wang, Changwen Zheng
2023	J	`jnl`	Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. IEEE Trans. Knowl. Data Eng. Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
2023	J	`jnl`	Towards the Sparseness of Projection Head in Self-Supervised Learning. CoRR Zeen Song, Xingzhe Su, Jingyao Wang, Wenwen Qiang, Changwen Zheng, Fuchun Sun
2023	J	`jnl`	Unleash Model Potential: Bootstrapped Meta Self-supervised Learning. CoRR Jingyao Wang, Zeen Song, Wenwen Qiang, Changwen Zheng
2022	J	`jnl`	3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models. CoRR Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
2022	A*	`conf`	Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. IJCAI Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng
2022	J	`jnl`	Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. CoRR Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Changwen Zheng, Fuchun Sun
2022	J	`jnl`	Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective. CoRR Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun
2022	A*	`conf`	Interventional Contrastive Learning with Meta Semantic Regularizer. ICML Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
2022	J	`jnl`	Interventional Contrastive Learning with Meta Semantic Regularizer. CoRR Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
2022	A*	`conf`	MetAug: Contrastive Learning via Meta Feature Augmentation. ICML Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong
2022	J	`jnl`	MetAug: Contrastive Learning via Meta Feature Augmentation. CoRR Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong
2022	A*	`conf`	MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. NeurIPS Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong
2022	J	`jnl`	MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. CoRR Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong
2022	J	`jnl`	Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. CoRR Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong
2022	J	`jnl`	RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding. Knowl. Based Syst. Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su
2022	J	`jnl`	Robust Causal Graph Representation Learning against Confounding Effects. CoRR Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun
2022	J	`jnl`	Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. CoRR Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
2022	J	`jnl`	Scale-Insensitive Object Detection via Attention Feature Pyramid Transformer Network. Neural Process. Lett. Lingling Li, Changwen Zheng, Cunli Mao, Haibo Deng, Taisong Jin
2022	—	`conf`	Self-supervised Graph Learning with Segmented Graph Channels. ECML/PKDD (2) Hang Gao, Jiangmeng Li, Changwen Zheng
2022	—	`conf`	Self-supervised Representation Learning for the Object Detection of Marine Radar. ICCAI Lingyu Si, Gang Li, Changwen Zheng, Fanjiang Xu
2022	A*	`conf`	SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. NeurIPS Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng
2022	J	`jnl`	SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. CoRR Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng
2022	A	`conf`	SimViT: Exploring a Simple Vision Transformer with Sliding Windows. ICME Gang Li, Di Xu, Xing Cheng, Lingyu Si, Changwen Zheng
2022	J	`jnl`	Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt. CoRR Jiangmeng Li, Wenyi Mo, Wenwen Qiang, Bing Su, Changwen Zheng
2022	—	`conf`	SwinTransTrack: Multi-object Tracking Using Shifted Window Transformers. ISCIT Tianci Zhao, Changwen Zheng, Qingmeng Zhu, Hao He
2022	J	`jnl`	Transductive distribution calibration for few-shot learning. Neurocomputing Gang Li, Changwen Zheng, Bing Su
2022	—	`conf`	Weight-Aware Graph Contrastive Learning. ICANN (2) Hang Gao, Jiangmeng Li, Peng Qiao, Changwen Zheng
2021	—	`conf`	A New Method of Wave Parameter Retrieve Based on Transformer. ICCCS Shuaiyu Chen, Changwen Zheng, Liguo Sun
2021	—	`conf`	A New Siamese Co-attention Network for Unsupervised Video Object Segmentation. ICCCS Zhenghao Zhang, Liguo Sun, Lingyu Si, Changwen Zheng
2021	J	`jnl`	Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation. Knowl. Based Syst. Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su
2021	C	`conf`	Encoder-Decoder Joint Enhancement for Video Chat. VCIP Zhenghao Zhang, Zhao Wang, Yan Ye, Shiqi Wang, Changwen Zheng
2021	—	`conf`	Multi-Task Based Marine Radar Tracking Network. ICCCS Mengjing Hu, Changwen Zheng, Liguo Sun
2021	—	`conf`	Self-supervised Visual Representation Learning for Fine-Grained Ship Detection. ICISCAE (IEEE) Gang Li, Yuncong Lei, Lingyu Si, Changwen Zheng
2021	J	`jnl`	SimViT: Exploring a Simple Vision Transformer with sliding windows. CoRR Gang Li, Di Xu, Xing Cheng, Lingyu Si, Changwen Zheng
2021	—	`conf`	Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training. ACL/IJCNLP (Findings) Yun Hu, Yeshuang Zhu, Jinchao Zhang, Changwen Zheng, Jie Zhou
2020	J	`jnl`	A Double Adversarial Network Model for Multi-Domain and Multi-Task Chinese Named Entity Recognition. IEICE Trans. Inf. Syst. Yun Hu, Changwen Zheng
2019	—	`conf`	A New Coefficient for a Two-Scale Microfacet Reflectance Model. ICIG (2) Hongbin Yang, Mingxue Liao, Changwen Zheng, Pin Lv
2019	—	`conf`	An Empirical Data Selection Schema in Annotation Projection Approach. CICLing (2) Yun Hu, Mingxue Liao, Pin Lv, Changwen Zheng
2019	—	`conf`	An Empirical Study of Multi-domain and Multi-task Learning in Chinese Named Entity Recognition. ICANN (2) Yun Hu, Mingxue Liao, Pin Lv, Changwen Zheng
2019	C	`conf`	An Optimized Forward Scheduling Algorithm in A Software-defined Satellite Network. SERA Teng Ling, Lixiang Liu, Changwen Zheng, Shuaijun Liu, Xi Zhou
2019	—	`conf`	Efficient Algorithm for Maximal Biclique Enumeration on Bipartite Graphs. ICNC-FSKD Caixia Qin, Mingxue Liao, Yuanyuan Liang, Changwen Zheng
2019	B	`conf`	Sequencing the musical sections with deep learning. IJCNN Xuange Cui, Mingxue Liao, Pin Lv, Changwen Zheng
2019	—	`conf`	Street-view Change Detection via Siamese Encoder-decoder Structured Convolutional Neural Networks. VISIGRAPP (5: VISAPP) Xinwei Zhao, Haichang Li, Rui Wang, Changwen Zheng, Song Shi
2018	J	`jnl`	Adaptive rendering based on robust principal component analysis. Vis. Comput. Hongliang Yuan, Changwen Zheng
2018	—	`conf`	Denoising Monte Carlo Renderings based on a Robust High-order Function. VISIGRAPP (1: GRAPP) Yu Liu, Changwen Zheng, Hongliang Yuan
2018	—	`conf`	Image Elementary Manifold and Its Application in Image Analysis. ICCSIP (1) Chao Cai, Lingge Li, Changwen Zheng
2018	—	`conf`	Removing Monte Carlo Noise with Compressed Sensing and Feature Information. VISIGRAPP (1: GRAPP) Changwen Zheng, Yu Liu
2018	J	`jnl`	Removing Monte Carlo noise using a Sobel operator and a guided image filter. Vis. Comput. Yu Liu, Changwen Zheng, Quan Zheng, Hongliang Yuan
2018	—	`conf`	Utilizing Chinese Dictionary Information in Named Entity Recognition. ICCSIP (2) Yun Hu, Mingxue Liao, Pin Lv, Changwen Zheng
2017	—	`conf`	Adaptive Rendering based on Adaptive Order Selection. VISIGRAPP (1: GRAPP) Hongliang Yuan, Changwen Zheng, Quan Zheng, Yu Liu
2017	J	`jnl`	Adaptive rendering based on a weighted mixed-order estimator. Vis. Comput. Hongliang Yuan, Changwen Zheng
2017	J	`jnl`	Adaptive sparse polynomial regression for camera lens simulation. Vis. Comput. Quan Zheng, Changwen Zheng
2017	J	`jnl`	NeuroLens: Data-Driven Camera Lens Simulation Using Neural Networks. Comput. Graph. Forum Quan Zheng, Changwen Zheng
2017	—	`conf`	Parameters Sharing Multi-items Non-parametric Factor Microfacet Model for Isotropic and Anisotropic BRDFs. ICIG (3) Junkai Peng, Changwen Zheng, Pin Lv
2016	J	`jnl`	A dynamic niching clustering algorithm based on individual-connectedness and its application to color image segmentation. Pattern Recognit. Dongxia Chang, Yao Zhao, Lian Liu, Changwen Zheng
2016	J	`jnl`	Adaptive Rendering Using a Best Matching Patch. IEICE Trans. Inf. Syst. Yu Liu, Changwen Zheng
2016	—	`conf`	Adaptive rendering using Markov model. ICNC-FSKD Yu Liu, Changwen Zheng
2016	C	`conf`	Advanced physical optical model for simulating rainbows. AICCSA Jinsen Zhang, Changwen Zheng, Yu Liu
2016	C	`conf`	Busy Tone based Prioritized Access for distributed wireless networks. WoWMoM Xin Zhou, Changwen Zheng
2016	—	`conf`	In-band Busy Tone Protocol for QoS Support in Distributed Wireless Networks. ICCSA (1) Xin Zhou, Changwen Zheng
2015	—	`conf`	Adaptive contention window tuning for IEEE 802.11. ICT Xin Zhou, Changwen Zheng, Xiao-Xin He
2015	B	`conf`	Full-feedback backoff algorithm for distributed wireless networks. IWCMC Xin Zhou, Changwen Zheng, Ming-xue Liao
2015	—	`conf`	Illumination Model for Two-layer Thin Film Structures. GRAPP Fukun Wu, Changwen Zheng
2015	—	`conf`	Interference Shader for Multilayer Films. VISIGRAPP (Selected Papers) Fukun Wu, Changwen Zheng
2015	—	`conf`	Multidimensional Adaptive Sampling and Reconstruction for Realistic Image Based on BP Neural Network. ICIG (2) Yu Liu, Changwen Zheng, Fukun Wu
2014	—	`conf`	A capacity self-adaption information hiding algorithm based on RS code. MFI Hengtai Ma, Xiaowei Yi, Xiaohui Wu, Dingfeng Gu, Hui Pan, Changwen Zheng
2014	J	`jnl`	Efficient authentication of scalable media streams over wireless networks. Multim. Tools Appl. Xiaowei Yi, Gang Zheng, Mingyu Li, Hengtai Ma, Changwen Zheng
2013	—	`conf`	Analysis on the probability of electromagnetic compatibility in cognitive radio. CrownCom Kun Xu, Ming-xue Liao, Xiao-Xin He, Changwen Zheng, Hai-yu Ren
2013	A	`conf`	Joint FEC codes and hash chains for optimizing authentication of JPEG2000 image streaming. ICME Xiaowei Yi, Yong Fu, Hengtai Ma, Changwen Zheng
2013	J	`jnl`	Rendering realistic spectral bokeh due to lens stops and aberrations. Vis. Comput. Jiaze Wu, Changwen Zheng, Xiaohui Hu, Fanjiang Xu
2013	—	`conf`	Simulation of Wave Effects Based on Ray Tracing. CAD/Graphics Fukun Wu, Changwen Zheng
2013	J	`jnl`	Triangle mesh compression along the Hamiltonian cycle. Vis. Comput. Jie Zhang, Changwen Zheng, Xiaohui Hu
2012	J	`jnl`	A Fault-Tolerant Scheduling Algorithm using Hybrid Overloading Technology for Dynamic Grouping based Multiprocessor Systems. Int. J. Comput. Commun. Control Xingbiao Yu, Junsuo Zhao, Changwen Zheng, Xiaohui Hu
2012	J	`jnl`	A Hierarchical Evolutionary Trajectory Planner for Spacecraft Formation Reconfiguration. IEEE Trans. Aerosp. Electron. Syst. Shuyan Wang, Changwen Zheng
2012	J	`jnl`	A genetic clustering algorithm using a message-based similarity measure. Expert Syst. Appl. Dongxia Chang, Yao Zhao, Changwen Zheng, Xianda Zhang
2012	—	`conf`	Implementing High-performance Intensity Model with Blur Effect on GPUs for Large-scale Star Image Simulation. IPDPS Workshops Chao Li, Yunquan Zhang, Changwen Zheng, Xiaohui Hu
2012	J	`jnl`	Parallel Dynamic Cloud Rendering Method Based on Physical Cellular Automata Model. IEICE Trans. Inf. Syst. Liqiang Zhang, Chao Li, Haoliang Sun, Changwen Zheng, Pin Lv
2012	—	`conf`	Quality-Optimized Authentication of Scalable Media Streams with Flexible Transcoding over Wireless Networks. MUSIC Xiaowei Yi, Mingyu Li, Gang Zheng, Changwen Zheng
2011	B	`conf`	A hypervolume based approach for minimal visual coverage shortest path. IEEE Congress on Evolutionary Computation Jie Li, Changwen Zheng, Xiaohui Hu
2011	—	`conf`	An Accurate and Practical Camera Lens Model for Rendering Realistic Lens Effects. CAD/Graphics Jiaze Wu, Changwen Zheng, Xiaohui Hu, Chao Li
2011	—	`conf`	Realistic Simulation of Peripheral Vision Using An Aspherical Eye Model. Eurographics (Short Papers) Jiaze Wu, Changwen Zheng, Xiaohui Hu, Fanjiang Xu
2010	J	`jnl`	A robust dynamic niching genetic algorithm with niche migration for automatic clustering problem. Pattern Recognit. Dong-Xia Chang, Xian-Da Zhang, Changwen Zheng, Daoming Zhang
2010	B	`conf`	Implicit restricted quadtree based visualization of large scale terrain. VRST Jie Zhang, Changwen Zheng, Pin Lv, Xiaohui Hu
2010	A*	`conf`	Lens dispersion simulation using dispersive lens model and spectral rendering method. SIGGRAPH ASIA (Posters) Jiaze Wu, Changwen Zheng, Xiaohui Hu, Fanjiang Xu
2010	J	`jnl`	Realistic rendering of bokeh effect based on optical aberrations. Vis. Comput. Jiaze Wu, Changwen Zheng, Xiaohui Hu, Yang Wang, Liqiang Zhang
2009	J	`jnl`	A genetic algorithm with gene rearrangement for K-means clustering. Pattern Recognit. Dong-Xia Chang, Xian-Da Zhang, Changwen Zheng
2007	B	`conf`	A Time-Fuel optimal for spacecraft formation reconfiguration. IEEE Congress on Evolutionary Computation Shuyan Wang, Changwen Zheng, Yuxin Wang
2007	—	`conf`	Route Planning for Unmanned Air Vehicles with Multiple Missions Using an Evolutionary Algorithm. ICNC (3) Ruoding Zhang, Changwen Zheng, Ping Yan
2006	J	`jnl`	Mission-adaptable Route Planning in Uncertain and Adversarial Environment. Int. J. Artif. Intell. Tools Ping Yan, Mingyue Ding, Changwen Zheng
2005	J	`jnl`	Evolutionary Route Planner for Unmanned Air Vehicles. IEEE Trans. Robotics Changwen Zheng, Lei Li, Fanjiang Xu, Fuchun Sun, Mingyue Ding
2004	J	`jnl`	Coevolving and cooperating path planner for multiple unmanned air vehicles. Eng. Appl. Artif. Intell. Changwen Zheng, Mingyue Ding, Chengping Zhou, Lei Li
2003	J	`jnl`	Real-Time Route Planning for Unmanned Air Vehicle with an Evolutionary Algorithm. Int. J. Pattern Recognit. Artif. Intell. Changwen Zheng, Mingyue Ding, Chengping Zhou