| 2026 | KDD | Mixture of Meta-Policies for Cross-Environment Meta-Reinforcement Learning. | Xinyu Liu, Qingyu Zeng, Chenwei Tang, Jiancheng Lv |
| 2025 | AAAI | Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval. | Yang Liu, Shudong Huang, Deng Xiong, Jiancheng Lv |
| 2025 | AAAI | Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment. | Yang Liu, Mengyuan Liu, Shudong Huang, Jiancheng Lv |
| 2025 | AAAI | LiD-FL: Towards List-Decodable Federated Learning. | Hong Liu, Liren Shan, Han Bao, Ronghui You, Yuhao Yi, Jiancheng Lv |
| 2025 | AAAI | Multi-view Granular-ball Contrastive Clustering. | Peng Su, Shudong Huang, Weihong Ma, Deng Xiong, Jiancheng Lv |
| 2025 | ACL | How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond. | Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua, Jimmy Huang |
| 2025 | ACL | Cross-model Transferability among Large Language Models on the Platonic Representations of Concepts. | Youcheng Huang, Chen Huang, Duanyu Feng, Wenqiang Lei, Jiancheng Lv |
| 2025 | ACL | Can Large Language Models Understand Internet Buzzwords Through User-Generated Content. | Chen Huang, Junkai Luo, Xinzuo Wang, Wenqiang Lei, Jiancheng Lv |
| 2025 | CVPR | Style Quantization for Data-Efficient GAN Training. | Jian Wang, Xin Lan, Jizhe Zhou, Yuxin Tian, Jiancheng Lv |
| 2025 | CVPR | Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints. | Yuhao Zhou, Yuxin Tian, Jindi Lv, Mingjia Shi, Yuanxi Li, Qing Ye, Shuhao Zhang, Jiancheng Lv |
| 2025 | ICCV | Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching. | Yang Liu, Wentao Feng, Zhuoyao Liu, Shudong Huang, Jiancheng Lv |
| 2025 | IJCAI | DONIS: Importance Sampling for Training Physics-Informed DeepONet. | Shudong Huang, Rui Huang, Ming Hu, Wentao Feng, Jiancheng Lv |
| 2025 | IJCAI | PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment. | Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang, Jiancheng Lv |
| 2025 | IJCNN | FedSH: Tackling Staleness By Scheduling High-order Approximation in Asynchronous Federated Learning. | Haixin Gao, Mingjia Shi, Yuhao Zhou, Deng Xiong, Qing Ye, Jiancheng Lv |
| 2025 | IJCNN | SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields. | Yuanjian Wang, Yufei Deng, Rong Xiao, Jiahao Fan, Chenwei Tang, Deng Xiong, Jiancheng Lv |
| 2025 | SMC | Epidemic Informed Co-Evolution of Nodes and Edges with Graph Neural Networks for Source Detection. | Ruixiao Wang, Lanlan Yu, Xinfu Yang, Quan-Hui Liu, Tao Zhou, Jiancheng Lv |
| 2025 | SMC | Mitigating Feature Homogenization in GNNs via Structure-Oriented Feature Augmentation for Fake News Detection. | Weiyi Wang, Xinyu Zhang, Quan-Hui Liu, Tao Zhou, Jiancheng Lv |
| 2024 | AAAI | Towards Equipping Transformer with the Ability of Systematic Compositionality. | Chen Huang, Peixin Qin, Wenqiang Lei, Jiancheng Lv |
| 2024 | AAAI | An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization. | Yuze Tan, Hecheng Cai, Shudong Huang, Shuping Wei, Fan Yang, Jiancheng Lv |
| 2024 | AAAI | Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers. | Yuhao Yi, Ronghui You, Hong Liu, Changxin Liu, Yuan Wang, Jiancheng Lv |
| 2024 | AAAI | Zero-Shot Aerial Object Detection with Visual Description Regularization. | Zhengqing Zang, Chenyu Lin, Chenwei Tang, Tao Wang, Jiancheng Lv |
| 2024 | ACL | ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation. | Chen Huang, Yiping Jin, Ilija Ilievski, Wenqiang Lei, Jiancheng Lv |
| 2024 | COLING | Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval. | Hang Zhang, Yeyun Gong, Dayiheng Liu, Shunyu Zhang, Xingwei He, Jiancheng Lv, Jian Guo |
| 2024 | ECAI | BOB-YOLO: Balancing Optimization Binarized YOLO via Module-Wise Latency. | Xinyu Liu, Wenqiang Zhou, Zhendong Yu, Jiaming Yang, Tao Wang, Chenwei Tang, Jiancheng Lv |
| 2024 | EMNLP | Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model. | Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Ido Dagan |
| 2024 | ICASSP | Federated CINN Clustering for Accurate Clustered Federated Learning. | Yuhao Zhou, Minjia Shi, Yuxin Tian, Yuanxi Li, Qing Ye, Jiancheng Lv |
| 2024 | ICML | Image Clustering with External Guidance. | Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng |
| 2024 | ICML | Multi-View Clustering by Inter-cluster Connectivity Guided Reward. | Hao Dai, Yang Liu, Peng Su, Hecheng Cai, Shudong Huang, Jiancheng Lv |
| 2024 | ICML | MS3D: A RG Flow-Based Regularization for GAN Training with Limited Data. | Jian Wang, Xin Lan, Yuxin Tian, Jiancheng Lv |
| 2024 | IJCAI | With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning. | Hecheng Cai, Yang Liu, Shudong Huang, Jiancheng Lv |
| 2024 | IJCAI | Robust Contrastive Multi-view Kernel Clustering. | Peng Su, Yixi Liu, Shujian Li, Shudong Huang, Jiancheng Lv |
| 2024 | MMM | From Skulls to Faces: A Deep Generative Framework for Realistic 3D Craniofacial Reconstruction. | Yehong Pan, Jian Wang, Guihong Liu, Qiushuo Wu, Yazi Zheng, Xin Lan, Weibo Liang, Jiancheng Lv, Yuan Li |
| 2024 | NAACL | Create! Don't Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation. | Letian Wang, Xianggen Liu, Jiancheng Lv |
| 2024 | WWW | Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem. | Chen Huang, Haoyang Li, Yifan Zhang, Wenqiang Lei, Jiancheng Lv |
| 2023 | AAAI | Metric Multi-View Graph Clustering. | Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang |
| 2023 | ACL | Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manuals. | Hongru Liang, Jia Liu, Weihong Du, Dingnan Jin, Wenqiang Lei, Zujie Wen, Jiancheng Lv |
| 2023 | ACML | GWQ: Group-Wise Quantization Framework for Neural Networks. | Jiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv |
| 2023 | CVPR | Rethinking Image Super Resolution from Long-Tailed Distribution Learning Perspective. | Yuanbiao Gou, Peng Hu, Jiancheng Lv, Hongyuan Zhu, Xi Peng |
| 2023 | CVPR | Sample-level Multi-view Graph Clustering. | Yuze Tan, Yixi Liu, Shudong Huang, Wentao Feng, Jiancheng Lv |
| 2023 | CVPR | Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric. | Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng |
| 2023 | CVPR | Comprehensive and Delicate: An Efficient Transformer for Image Restoration. | Haiyu Zhao, Yuanbiao Gou, Boyun Li, Dezhong Peng, Jiancheng Lv, Xi Peng |
| 2023 | EMNLP | Noisy Pair Corrector for Dense Retrieval. | Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo |
| 2023 | EMNLP | Reduce Human Labor On Evaluating Conversational Information Retrieval System: A Human-Machine Collaboration Approach. | Chen Huang, Peixin Qin, Wenqiang Lei, Jiancheng Lv |
| 2023 | EMNLP | Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation. | Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Jie Fu, Jian Lan, Mei Li, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv |
| 2023 | EMNLP | Dynamic Voting for Efficient Reasoning in Large Language Models. | Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Xingzhang Ren, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv |
| 2023 | ICCV | Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. | Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv |
| 2023 | ICONIP | Lateral Interactions Spiking Actor Network for Reinforcement Learning. | Xiangyu Chen, Rong Xiao, Qirui Yang, Jiancheng Lv |
| 2023 | ICONIP | Semantic-Pixel Associative Information Improving Loop Closure Detection and Experience Map Building for Efficient Visual Representation. | Yufei Deng, Rong Xiao, Jiaxin Li, Jiancheng Lv |
| 2023 | ICONIP | Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse. | Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv |
| 2023 | ICONIP | Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search. | Dan Si, Qing Ye, Jindi Lv, Yuhao Zhou, Jiancheng Lv |
| 2023 | IJCAI | Lifelong Multi-view Spectral Clustering. | Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv |
| 2023 | IJCNN | RulePG: Syntactic Rule-enhanced Paraphrase Generation. | Jian Lan, Mingfeng Xue, Jiancheng Lv |
| 2023 | IJCNN | ST-CA YOLOv5: Improved YOLOv5 Based on Swin Transformer and Coordinate Attention for Surface Defect Detection. | Wen Yang, Hongjie Wu, Chenwei Tang, Jiancheng Lv |
| 2023 | MMM | Multi-view Adaptive Bone Activation from Chest X-Ray with Conditional Adversarial Nets. | Chaoqun Niu, Yuan Li, Jian Wang, Jizhe Zhou, Tu Xiong, Dong Yu, Huili Guo, Lin Zhang, Weibo Liang, Jiancheng Lv |
| 2022 | AAAI | Multi-View Clustering on Topological Manifold. | Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu |
| 2022 | CVPR | All-In-One Image Restoration for Unknown Corruption. | Boyun Li, Xiao Liu, Peng Hu, Zhongqin Wu, Jiancheng Lv, Xi Peng |
| 2022 | CVPR | Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification. | Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng |
| 2022 | EMNLP | Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition. | Youcheng Huang, Wenqiang Lei, Jie Fu, Jiancheng Lv |
| 2022 | HPCC | A Layer-Based Sparsification Method For Distributed DNN Training. | Yanqing Hu, Qing Ye, Zhongyu Zhang, Jiancheng Lv |
| 2022 | ICLR | Adversarial Retriever-Ranker for Dense Text Retrieval. | Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen |
| 2022 | IJCAI | Abstract Rule Learning for Paraphrase Generation. | Xianggen Liu, Wenqiang Lei, Jiancheng Lv, Jizhe Zhou |
| 2022 | IJCNN | Knowledge Graph-based Conversational Recommender System in Travel. | Jian Lan, Runfeng Shi, Ye Cao, Jiancheng Lv |
| 2022 | SIGIR | Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. | Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua |
| 2021 | ACL | GLGE: A New General Language Generation Evaluation Benchmark. | Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan |
| 2021 | ACL | POS-Constrained Parallel Decoding for Non-autoregressive Generation. | Kexin Yang, Wenqiang Lei, Dayiheng Liu, Weizhen Qi, Jiancheng Lv |
| 2021 | ACL | TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. | Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua |
| 2021 | CVPR | COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction. | Yijie Lin, Yuanbiao Gou, Zitao Liu, Boyun Li, Jiancheng Lv, Xi Peng |
| 2021 | EDM | LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences. | Yuhao Zhou, Xihua Li, Yunbo Cao, Xuemin Zhao, Qing Ye, Jiancheng Lv |
| 2021 | ICML | Poolingformer: Long Document Modeling with Pooling Attention. | Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen |
| 2021 | ICONIP | End-to-End Edge Detection via Improved Transformer Model. | Yi Gao, Chenwei Tang, Jiulin Lang, Jiancheng Lv |
| 2021 | ICONIP | Knowledge Distillation Method for Surface Defect Detection. | Jiulin Lang, Chenwei Tang, Yi Gao, Jiancheng Lv |
| 2021 | IJCNN | Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search. | Jindi Lv, Qing Ye, Yanan Sun, Juan Zhao, Jiancheng Lv |
| 2021 | IJCNN | AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation. | Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv |
| 2021 | IJCNN | Automatic Cataract Detection with Multi-Task Learning. | Hongjie Wu, Jiancheng Lv, Jian Wang |
| 2020 | AAAI | Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. | Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv |
| 2020 | AAAI | Deep Poetry: A Chinese Classical Poetry Generation System. | Yusen Liu, Dayiheng Liu, Jiancheng Lv |
| 2020 | ACL | RikiNet: Reading Wikipedia Pages for Natural Question Answering. | Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan |
| 2020 | ACL | Let's be Humorous: Knowledge Enhanced Humor Generation. | Hang Zhang, Dayiheng Liu, Jiancheng Lv, Cheng Luo |
| 2020 | CVPR | Learning Event-Based Motion Deblurring. | Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy S. J. Ren, Jiancheng Lv, Yebin Liu |
| 2020 | ECAI | Deep Density-Aware Count Regressor. | Zhuojun Chen, Junhao Cheng, Yuchen Yuan, Dongping Liao, Yizhou Li, Jiancheng Lv |
| 2020 | EMNLP | Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. | Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou |
| 2020 | EMNLP | Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. | Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan |
| 2020 | ICONIP | Exploration on the Generation of Chinese Palindrome Poetry. | Liao Chen, Zhichen Lai, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang |
| 2020 | ICONIP | SuperConv: Strengthening the Convolution Kernel via Weight Sharing. | Chuan Liu, Qing Ye, Xiaoming Huang, Jiancheng Lv |
| 2020 | ICONIP | SAN: Sampling Adversarial Networks for Zero-Shot Learning. | Chenwei Tang, Yangzhu Kuang, Jiancheng Lv, Jinglu Hu |
| 2020 | ICONIP | Key Factors of Email Subject Generation. | Mingfeng Xue, Hang Zhang, Jiancheng Lv |
| 2020 | ICONIP | U-Sleep: A Deep Neural Network for Automated Detection of Sleep Arousals Using Multiple PSGs. | Shenglan Yang, Bijue Jia, Yao Chen, Zhan ao Huang, Xiaoming Huang, Jiancheng Lv |
| 2020 | ICONIP | HPSGD: Hierarchical Parallel SGD with Stale Gradients Featuring. | Yuhao Zhou, Qing Ye, Hailun Zhang, Jiancheng Lv |
| 2020 | IJCNN | Arbitrary Chinese Font Generation from a Single Reference. | Zhichen Lai, Chenwei Tang, Jiancheng Lv |
| 2020 | IJCNN | Generating Chinese Poetry from Images via Concrete and Abstract Information. | Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang |
| 2020 | IJCNN | PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks. | Qing Ye, Yuxuan Han, Yanan Sun, Jiancheng Lv |
| 2020 | IJCNN | Attention-Based Multi-Model Ensemble for Automatic Cataract Detection in B-Scan Eye Ultrasound Images. | Xiaofei Zhang, Jiancheng Lv, Heng Zheng, Yongsheng Sang |
| 2019 | ACL | TIGS: An Inference Algorithm for Text Infilling with Gradient Search. | Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv |
| 2019 | DASC | A Semantic-Based Short-Text Fast Clustering Method on Hotline Records in Chengdu. | Xiaorong Pu, Kun Long, Kecheng Chen, Mei Xie, Jiancheng Lv, Dezhong Peng |
| 2019 | ICML | COMIC: Multi-view Clustering Without Parameter Selection. | Xi Peng, Zhenyu Huang, Jiancheng Lv, Hongyuan Zhu, Joey Tianyi Zhou |
| 2019 | ICONIP | Multi-view Image Generation by Cycle CVAE-GAN Networks. | Zhichen Lai, Chenwei Tang, Jiancheng Lv |
| 2019 | IJCAI | Multi-view Spectral Clustering Network. | Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv |
| 2019 | IJCNN | Impromptu Accompaniment of Pop Music using Coupled Latent Variable Model with Binary Regularizer. | Bijue Jia, Jiancheng Lv, Yifan Pu, Xue Yang |
| 2019 | ISPA | Small Deep Learning Models for Hand Gesture Recognition. | Adam Ahmed Qaid Mohammed, Jiancheng Lv, Md. Sajjatul Islam |
| 2019 | SEKE | TL-GAN: Generative Adversarial Networks with Transfer Learning for Mode Collapse (S). | Xianyu Wu, Shihao Feng, Xiaojie Li, Jing Yin, Jiancheng Lv, Canghong Shi |
| 2018 | ICONIP | Classification of Calligraphy Style Based on Convolutional Neural Network. | Fengrui Dai, Chenwei Tang, Jiancheng Lv |
| 2018 | ICONIP | A Data Augmentation Model Based on Variational Approach. | Lei Xia, Jiancheng Lv, Yong Xu |
| 2018 | IJCNN | A Multi-Modal Chinese Poetry Generation Model. | Dayiheng Liu, Quan Guo, Wubo Li, Jiancheng Lv |
| 2018 | ISNN | Method to Improve the Performance of Restricted Boltzmann Machines. | Jing Yin, Qingyu Mao, Dayiheng Liu, Yong Xu, Jiancheng Lv |
| 2017 | AAAI | Unsupervised Multi-Manifold Clustering by Learning Deep Representation. | Dongdong Chen, Jiancheng Lv, Yi Zhang |
| 2017 | ICONIP | Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets. | Junyu Luo, Yong Xu, Chenwei Tang, Jiancheng Lv |
| 2017 | ICONIP | Tree Factored Conditional Restricted Boltzmann Machines for Mixed Motion Style. | Chunzhi Xie, Jiancheng Lv, Bijue Jia, Lei Xia |
| 2013 | IJCAI | Manifold Alignment Based on Sparse Local Structures of More Corresponding Pairs. | Xiaojie Li, Jiancheng Lv, Yi Zhang |
| 2006 | ISNN | Growing Hierarchical Principal Components Analysis Self-Organizing Map. | Stones Lei Zhang, Zhang Yi, Jiancheng Lv |
| 2005 | ISNN | An Improved Backpropagation Algorithm Using Absolute Error Function. | Jiancheng Lv, Zhang Yi |
| 2004 | ISNN | Convergence Analysis for Oja+ MCA Learning Algorithm. | Jiancheng Lv, Mao Ye, Zhang Yi |