Wenwen Qiang - RankMe

121 papers A* 23A 3B 1Journal 94

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`	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	A*	`conf`	Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction. AAAI Ruike Song, Zeen Song, Huijie Guo, Wenwen Qiang
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`	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	J	`jnl`	From Shallow to Deep: Pinning Semantic Intent via Causal GRPO. CoRR Shuyi Zhou, Zeen Song, Wenwen Qiang, Jiyan Sun, Yao Zhou, Yinlong Liu, Wei Ma
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	J	`jnl`	Meta-auxiliary learning for micro-expression recognition. Appl. Soft Comput. Yufei Li, Yuxuan Yang, Jingyao Wang, Wenwen Qiang
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`	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
2025	J	`jnl`	A Generalized Learning Framework for Self-Supervised Contrastive Learning. CoRR Lingyu Si, Jingyao Wang, Wenwen Qiang
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`	Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction. CoRR Ruike Song, Zeen Song, Huijie Guo, Wenwen Qiang
2025	A	`conf`	Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation. ICME Jiexin Wang, Wenwen Qiang, Zhao Yang, Bing Su
2025	J	`jnl`	Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation. CoRR Jiexin Wang, Wenwen Qiang, Zhao Yang, Bing Su
2025	J	`jnl`	Enhancing Time Series Forecasting via Logic-Inspired Regularization. CoRR Jianqi Zhang, Jingyao Wang, Xingchen Shen, Wenwen Qiang
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`	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`	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	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	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	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	J	`jnl`	A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Lingyu Si, Hongwei Dong, Wenwen Qiang, Zeen Song, Bo Du, Junzhi Yu, Fuchun Sun
2024	J	`jnl`	Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hongwei Dong, Fangzhou Han, Lingyu Si, Wenwen Qiang, Ruiheng Zhang, Lamei Zhang
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	A	`conf`	Demo:SCDRL: Scalable and Customized Distributed Reinforcement Learning System. ICDCS Chuxiong Sun, Wenwen Qiang, Jiangmeng Li
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	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`	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	B	`conf`	Is Encoded Popularity Always Harmful? Explicit Debiasing with Augmentation for Contrastive Collaborative Filtering. IJCNN Guanming Chen, Wenwen Qiang, Yuanxin Ouyang, Chuantao Yin, Zhang Xiong
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`	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	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	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	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	A*	`conf`	Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective. NeurIPS Yanan Zhang, Jiangmeng Li, Lixiang Liu, Wenwen Qiang
2024	J	`jnl`	Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective. CoRR Yanan Zhang, Jiangmeng Li, Lixiang Liu, Wenwen Qiang
2024	J	`jnl`	Revisiting Spurious Correlation in Domain Generalization. CoRR Bin Qin, Jiangmeng Li, Yi Li, Xuesong Wu, Yupeng Wang, Wenwen Qiang, Jianwen Cao
2024	A*	`conf`	Self-Supervised Representation Learning with Meta Comprehensive Regularization. AAAI Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi
2024	J	`jnl`	Self-Supervised Representation Learning with Meta Comprehensive Regularization. CoRR Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi
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	J	`jnl`	Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality. CoRR Jiangmeng Li, Bin Qin, Qirui Ji, Yi Li, Wenwen Qiang, Jianwen Cao, Fanjiang Xu
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	J	`jnl`	Background Debiased SAR Target Recognition via Causal Interventional Regularizer. CoRR Hongwei Dong, Fangzhou Han, Lingyu Si, Wenwen Qiang, Lamei Zhang
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`	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	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`	Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. Int. J. Comput. Vis. Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui Xiong, Ji-Rong Wen
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	A*	`conf`	Rethinking skip connection model as a learnable Markov chain. ICLR Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu
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	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	A*	`conf`	Spatio-Temporal Branching for Motion Prediction using Motion Increments. ACM Multimedia Jiexin Wang, Yujie Zhou, Wenwen Qiang, Ying Ba, Bing Su, Ji-Rong Wen
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
2023	A*	`conf`	Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization. ACM Multimedia Yujie Zhou, Wenwen Qiang, Anyi Rao, Ning Lin, Bing Su, Jiaqi Wang
2023	J	`jnl`	Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization. CoRR Yujie Zhou, Wenwen Qiang, Anyi Rao, Ning Lin, Bing Su, Jiaqi Wang
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	J	`jnl`	Feature extraction framework based on contrastive learning with adaptive positive and negative samples. Neural Networks Hongjie Zhang, Siyu Zhao, Wenwen Qiang, Yingyi Chen, Ling Jing
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`	Multi-view representation learning from local consistency and global alignment. Neurocomputing Lingyu Si, Wenwen Qiang, Jiangmeng Li, Fanjiang Xu, Funchun Sun
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`	Rethinking skip connection model as a learnable Markov chain. CoRR Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu
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`	Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt. CoRR Jiangmeng Li, Wenyi Mo, Wenwen Qiang, Bing Su, Changwen Zheng
2022	J	`jnl`	TSVM-M3: Twin support vector machine based on multi-order moment matching for large-scale multi-class classification. Appl. Soft Comput. Wenwen Qiang, Hongjie Zhang, Jingxing Zhang, Ling Jing
2022	J	`jnl`	Unified feature extraction framework based on contrastive learning. Knowl. Based Syst. Hongjie Zhang, Wenwen Qiang, Jinxin Zhang, Yingyi Chen, Ling Jing
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	J	`jnl`	Locality cross-view regression for feature extraction. Eng. Appl. Artif. Intell. Jinxin Zhang, Hongjie Zhang, Wenwen Qiang, Naiyang Deng, Ling Jing
2020	J	`jnl`	Robust weighted linear loss twin multi-class support vector regression for large-scale classification. Signal Process. Wenwen Qiang, Jinxin Zhang, Ling Zhen, Ling Jing