Jiangmeng Li - RankMe

105 papers A* 21A 4B 2Misc 1Journal 72Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	All-in-One Image Restoration via Causal-Deconfounding Wavelet-Disentangled Prompt Network. CoRR Bingnan Wang, Bin Qin, Jiangmeng Li, Fanjiang Xu, Fuchun Sun, Hui Xiong
2026	J	`jnl`	All-in-One Image Restoration via Causal-Deconfounding Wavelet-Disentangled Prompt Network. IEEE Trans. Image Process. Bingnan Wang, Bin Qin, Jiangmeng Li, Fanjiang Xu, Fuchun Sun, Hui Xiong
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	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`	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	A*	`conf`	M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference. AAAI Chuxiong Sun, Peng He, Qirui Ji, Zehua Zang, Jiangmeng Li, Rui Wang, Wei Wang
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	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`	Uniformity Preserving Transfer for Visual Prompt Tuning under Long-tailed Distribution. Int. J. Comput. Vis. Jiahao Chen, Hao Chen, Bin Qin, Jiangmeng Li, Jindong Wang, Bing Su
2026	J	`jnl`	Vision-Language Attribute Disentanglement and Reinforcement for Lifelong Person Re-Identification. CoRR Kunlun Xu, Haotong Cheng, Jiangmeng Li, Xu Zou, Jiahuan Zhou
2026	J	`jnl`	Visual reinforcement learning via sequential consistency preserved policy contrast from optimal transport view. Neural Networks Zehua Zang, Jiangmeng Li, Chuxiong Sun, Rui Wang, Lixiang Liu, Fuchun Sun
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	J	`jnl`	BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis. CoRR Shuang Cui, Jinglin Xu, Yi Li, Xiongxin Tang, Jiangmeng Li, Jiahuan Zhou, Fanjiang Xu, Fuchun Sun, Hui Xiong
2025	J	`jnl`	C CoRR Kunlun Xu, Yibo Feng, Jiangmeng Li, Yongsheng Qi, Jiahuan Zhou
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	A	`conf`	Causal Deconfounding for Spurious Correlation in Domain Generalization. ICME Bin Qin, Yi Li, Jiangmeng Li, Xuesong Wu, Yupeng Wang, Jianwen Cao
2025	—	`conf`	CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning. KDD (2) Bin Qin, Qirui Ji, Jiangmeng Li, Yupeng Wang, Xuesong Wu, Jianwen Cao, Fanjiang Xu
2025	J	`jnl`	CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning. CoRR Bin Qin, Qirui Ji, Jiangmeng Li, Yupeng Wang, Xuesong Wu, Jianwen Cao, Fanjiang Xu
2025	J	`jnl`	Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks. CoRR Shuang Cui, Yi Li, Jiangmeng Li, Xiongxin Tang, Bing Su, Fanjiang Xu, Hui Xiong
2025	J	`jnl`	Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks. Int. J. Comput. Vis. Shuang Cui, Yi Li, Jiangmeng Li, Xiongxin Tang, Bing Su, Fanjiang Xu, Hui Xiong
2025	A*	`conf`	DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training. ICLR Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, Bing Su
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`	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`	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`	Learning Adaptive High-Frequency Semantic Guidance for Low-light Image Enhancement. ICME Hao Li, Jingxuan Zhou, Jinlong Wang, Jiangmeng Li, Xiongxin Tang, Fanjiang Xu
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`	M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference. CoRR Chuxiong Sun, Peng He, Qirui Ji, Zehua Zang, Jiangmeng Li, Rui Wang, Wei Wang
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	A	`conf`	RBDN: A Robust Background Denoising Network for Weakly Supervised Temporal Language Grounding. ICME Yifan Lyu, Zehua Zang, Hongzhou Wu, Lixiang Liu, Jiangmeng Li
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`	Rethinking the Bias of Foundation Model under Long-tailed Distribution. ICML Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su
2025	J	`jnl`	Rethinking the Bias of Foundation Model under Long-tailed Distribution. CoRR Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su
2025	J	`jnl`	Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification. CoRR Kunlun Xu, Fan Zhuo, Jiangmeng Li, Xu Zou, Jiahuan Zhou
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	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`	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`	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`	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	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`	Neuromodulated Meta-Learning. CoRR Jingyao Wang, Huijie Guo, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Hui Xiong, Gang Hua
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 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`	Physics-Guided Optical Simulation and PSF Analysis for Remote Sensing Images Deblurring. IEEE Trans. Geosci. Remote. Sens. Fan Ji, Jing Wang, Shuang Cui, Jiangmeng Li, Xiongxin Tang, Fanjiang Xu
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	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`	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`	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`	Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering. Knowl. Based Syst. Yuanyuan Guo, Zehua Zang, Hang Gao, Xiao Xu, Rui Wang, Lixiang Liu, Jiangmeng Li
2023	J	`jnl`	Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning. CoRR Jiahao Chen, Yurou Liu, Jiangmeng Li, Bing Su, Jirong Wen
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`	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`	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	—	`conf`	M ADMA (3) Yuanyuan Guo, Yu Xia, Rui Wang, Rongcheng Duan, Lu Li, Jiangmeng Li
2023	J	`jnl`	M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning. CoRR Yuanyuan Guo, Yu Xia, Rui Wang, Rongcheng Duan, Lu Li, Jiangmeng Li
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	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	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`	Rule Learning over Knowledge Graphs: A Review. TGDK Hong Wu, Zhe Wang, Kewen Wang, Pouya Ghiasnezhad Omran, Jiangmeng Li
2023	J	`jnl`	Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering. CoRR Yuanyuan Guo, Zehua Zang, Hang Gao, Xiao Xu, Rui Wang, Lixiang Liu, Jiangmeng Li
2022	J	`jnl`	A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. CoRR Bing Su, Dazhao Du, Zhao Yang, Yujie Zhou, Jiangmeng Li, Anyi Rao, Hao Sun, Zhiwu Lu, Ji-Rong Wen
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`	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`	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	—	`conf`	Self-supervised Graph Learning with Segmented Graph Channels. ECML/PKDD (2) Hang Gao, Jiangmeng Li, Changwen Zheng
2022	B	`conf`	Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest. COLING Yifan Jin, Jiangmeng Li, Zheng Lian, Chengbo Jiao, Xiaohui Hu
2022	J	`jnl`	Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest. CoRR Yifan Jin, Jiangmeng Li, Zheng Lian, Chengbo Jiao, Xiaohui Hu
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`	Weight-Aware Graph Contrastive Learning. ICANN (2) Hang Gao, Jiangmeng Li, Peng Qiao, 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	—	`conf`	Short Text Clustering with a Deep Multi-embedded Self-supervised Model. ICANN (5) Kai Zhang, Zheng Lian, Jiangmeng Li, Haichang Li, Xiaohui Hu