| 2026 | AAAI | Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels. | Wenxiao Fan, Kan Li |
| 2026 | ACL | LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient. | Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li |
| 2025 | AAAI | Combating Semantic Contamination in Learning with Label Noise. | Wenxiao Fan, Kan Li |
| 2025 | ACL | Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation. | Yiwei Li, Ji Zhang, Shaoxiong Feng, Peiwen Yuan, Xinglin Wang, Jiayi Shi, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li |
| 2025 | ACL | From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MarkerGen. | Peiwen Yuan, Chuyi Tan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Jiayi Shi, Boyuan Pan, Yao Hu, Kan Li |
| 2025 | ACL | Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation. | Peiwen Yuan, Yueqi Zhang, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li |
| 2025 | EMNLP | Speculative Decoding for Multi-Sample Inference. | Yiwei Li, Jiayi Shi, Shaoxiong Feng, Peiwen Yuan, Xinglin Wang, Yueqi Zhang, Ji Zhang, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li |
| 2025 | EMNLP | InsBank: Evolving Instruction Subset for Ongoing Alignment. | Jiayi Shi, Yiwei Li, Shaoxiong Feng, Peiwen Yuan, Xinglin Wang, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Huan Ren, Yao Hu, Kan Li |
| 2025 | ICASSP | Do Multimodal Language Models Really Understand Direction? A Benchmark for Compass Direction Reasoning. | Hang Yin, Zhifeng Lin, Xin Liu, Bin Sun, Kan Li |
| 2025 | ICASSP | Schoenberg Kernel Loss for Spiking Neural Network Training. | Liyang Ru, Kan Li, Jos C. Prncipe |
| 2025 | ICLR | UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization. | Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li |
| 2025 | NAACL | Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning. | Xinglin Wang, Shaoxiong Feng, Yiwei Li, Peiwen Yuan, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li |
| 2025 | NAACL | CogLM: Tracking Cognitive Development of Large Language Models. | Xinglin Wang, Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Boyuan Pan, Heda Wang, Yao Hu, Kan Li |
| 2024 | AAAI | Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data. | Yiwei Li, Peiwen Yuan, Shaoxiong Feng, Boyuan Pan, Bin Sun, Xinglin Wang, Heda Wang, Kan Li |
| 2024 | ACL | Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation. | Yiwei Li, Fei Mi, Yitong Li, Yasheng Wang, Bin Sun, Shaoxiong Feng, Kan Li |
| 2024 | ACL | Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios. | Bin Sun, Jianfeng Li, Hao Zhou, Fandong Meng, Kan Li, Jie Zhou |
| 2024 | ACL | Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation. | Xinglin Wang, Yiwei Li, Shaoxiong Feng, Peiwen Yuan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li |
| 2024 | ACL | Poor-Supervised Evaluation for SuperLLM via Mutual Consistency. | Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Boyuan Pan, Heda Wang, Yao Hu, Kan Li |
| 2024 | ACL | BatchEval: Towards Human-like Text Evaluation. | Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Boyuan Pan, Heda Wang, Yao Hu, Kan Li |
| 2024 | EACL | Generative Dense Retrieval: Memory Can Be a Burden. | Peiwen Yuan, Xinglin Wang, Shaoxiong Feng, Boyuan Pan, Yiwei Li, Heda Wang, Xupeng Miao, Kan Li |
| 2024 | EMNLP | Focused Large Language Models are Stable Many-Shot Learners. | Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li |
| 2024 | ICLR | Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning. | Yiwei Li, Peiwen Yuan, Shaoxiong Feng, Boyuan Pan, Xinglin Wang, Bin Sun, Heda Wang, Kan Li |
| 2023 | AAAI | Heterogeneous-Branch Collaborative Learning for Dialogue Generation. | Yiwei Li, Shaoxiong Feng, Bin Sun, Kan Li |
| 2023 | AAAI | Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables. | Bin Sun, Yitong Li, Fei Mi, Weichao Wang, Yiwei Li, Kan Li |
| 2023 | ACL | Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue. | Bin Sun, Yitong Li, Fei Mi, Fanhu Bie, Yiwei Li, Kan Li |
| 2022 | ACL | Hierarchical Inductive Transfer for Continual Dialogue Learning. | Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun |
| 2022 | EMNLP | Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder. | Bin Sun, Shaoxiong Feng, Yiwei Li, Weichao Wang, Fei Mi, Yitong Li, Kan Li |
| 2022 | ICMLA | ECG Fiducial Point Localization Using a Deep Learning Model. | Murtadha D. Hssayeni, Arash Andalib, Rishabh Singh, Diego Pava, Kan Li, Steven Borzak, Robert Chait, Kaustubh Kale |
| 2022 | NAACL | Diversifying Neural Dialogue Generation via Negative Distillation. | Yiwei Li, Shaoxiong Feng, Bin Sun, Kan Li |
| 2021 | AAAI | Collaborative Group Learning. | Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun |
| 2021 | AAAI | Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation. | Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun |
| 2021 | ACL | Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders. | Bin Sun, Shaoxiong Feng, Yiwei Li, Jiamou Liu, Kan Li |
| 2020 | AAAI | Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network. | Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin |
| 2020 | AAAI | Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation. | Yang Li, Kan Li, Shuai Jiang, Ziyue Zhang, Congzhentao Huang, Richard Yi Da Xu |
| 2020 | EMNLP | Regularizing Dialogue Generation by Imitating Implicit Scenarios. | Shaoxiong Feng, Xuancheng Ren, Hongshen Chen, Bin Sun, Kan Li, Xu Sun |
| 2020 | ICCS | ArtPDGAN: Creating Artistic Pencil Drawing with Key Map Using Generative Adversarial Networks. | SuChang Li, Kan Li, Ilyes Kacher, Yuichiro Taira, Bungo Yanatori, Imari Sato |
| 2020 | ICONIP | Predicting Information Diffusion Cascades Using Graph Attention Networks. | Meng Wang, Kan Li |
| 2020 | ISCAS | A Multi-Loop Slew-Rate Enhanced NMOS LDO Handling 1A Load Current Step with Fast Transient. | Kan Li, Chuanshi Yang, Ting Guo, Yuanjin Zheng |
| 2020 | ICTIR | A Multistage Ranking Strategy for Personalized Hotel Recommendation with Human Mobility Data. | Yiwei Li, Miao Fan, Jizhou Huang, Kan Li |
| 2020 | PAKDD | TemporalGAT: Attention-Based Dynamic Graph Representation Learning. | Ahmed Fathy, Kan Li |
| 2019 | ICONIP | ComNE: Reinforcing Network Embedding with Community Learning. | Ahmed Fathy, Kan Li |
| 2019 | ICONIP | DARIM: Dynamic Approach for Rumor Influence Minimization in Online Social Networks. | Adil Imad Eddine Hosni, Kan Li, Sadique Ahmad |
| 2019 | IJCNN | RsyGAN: Generative Adversarial Network for Recommender Systems. | Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang |
| 2019 | WWW | Enhancing Fashion Recommendation with Visual Compatibility Relationship. | Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang |
| 2018 | ICANN | A Hierarchy Based Influence Maximization Algorithm in Social Networks. | Lingling Li, Kan Li, Chao Xiang |
| 2018 | ICASSP | Nearest-Instance-Centroid-Estimation Linear Discriminant Analysis (Nice Lda). | Rishabh Singh, Kan Li, Jos C. Prncipe |
| 2018 | ICONIP | HISBmodel: A Rumor Diffusion Model Based on Human Individual and Social Behaviors in Online Social Networks. | Adil Imad Eddine Hosni, Kan Li, Sadique Ahmad |
| 2018 | ICONIP | Least Cost Rumor Influence Minimization in Multiplex Social Networks. | Adil Imad Eddine Hosni, Kan Li, Cangfeng Ding, Sadique Ahmed |
| 2018 | IJCAI | Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation. | Yang Li, Kan Li, Xinxin Wang |
| 2018 | IJCNN | Centrality Ranking via Topologically Biased Random Walks in Multiplex Networks. | Cangfeng Ding, Kan Li |
| 2018 | IJCNN | Surprise-Novelty Information Processing for Gaussian Online Active Learning (SNIP-GOAL). | Kan Li, Jos C. Prncipe |
| 2017 | ICASSP | Automatic insect recognition using optical flight dynamics modeled by kernel adaptive ARMA network. | Kan Li, Jos C. Prncipe |
| 2017 | ICONIP | Knowledge Graph Based Question Routing for Community Question Answering. | Zhu Liu, Kan Li, Dacheng Qu |
| 2017 | ICONIP | A Deep Model Combining Structural Features and Context Cues for Action Recognition in Static Images. | Xinxin Wang, Kan Li, Yang Li |
| 2017 | IJCNN | Flight dynamics modeling and recognition using finite state machine for automatic insect recognition. | Kan Li, Jos C. Prncipe |
| 2017 | ISKE | Concept drift region identification via competence-based discrepancy distribution estimation. | Fan Dong, Jie Lu, Kan Li, Guangquan Zhang |
| 2016 | IJCAI | A Generative Model for Recognizing Mixed Group Activities in Still Images. | Zheng Zhou, Kan Li, Xiangjian He, Mengmeng Li |
| 2015 | DASFAA | Semi-supervised Clustering Method for Multi-density Data. | Walid Atwa, Kan Li |
| 2015 | IJCNN | Recognizing visual composite in real images. | Lin Bai, Kan Li, Shuai Jiang |
| 2015 | IJCNN | Generating image description by modeling spatial context of an image. | Kan Li, Lin Bai |
| 2015 | MMM | 3D Depth Perception from Single Monocular Images. | Hang Xu, Kan Li, Fuyu Lv, JianMeng Pei |
| 2014 | DEXA | Active Query Selection for Constraint-Based Clustering Algorithms. | Walid Atwa, Kan Li |
| 2014 | DEXA | Clustering Evolving Data Stream with Affinity Propagation Algorithm. | Walid Atwa, Kan Li |
| 2014 | WISE | Detecting Hierarchical Structure of Community Members by Link Pattern Expansion Method. | Fengjiao Chen, Kan Li |
| 2014 | WISE | A Unified Model for Community Detection of Multiplex Networks. | Guangyao Zhu, Kan Li |
| 2013 | ADMA | A Hybrid-Sorting Semantic Matching Method. | Kan Li, Wensi Mu, Yong Luan, Shaohua An |
| 2013 | ADMA | An Energy Model for Network Community Structure Detection. | Yin Pang, Kan Li |
| 2013 | IJCNN | Kernel adaptive filtering with confidence intervals. | Kan Li, Badong Chen, Jos C. Prncipe |
| 2012 | PAKDD | A Vertex Similarity Probability Model for Finding Network Community Structure. | Kan Li, Yin Pang |
| 2011 | CIS | A Practical Framework for Agent-Based Hybrid Intelligent Systems. | Chunsheng Li, Kan Li |
| 2010 | ISIT | Channels with both random errors and burst erasures: Capacities, LDPC code thresholds, and code performances. | Kan Li, Aleksandar Kavcic, Raman Venkataramani, Mehmet Fatih Erden |
| 2009 | CIS | Efficient Object Recognition Using Corner Features. | Jian Cao, Kan Li, Chunxiao Gao, Qiongxin Liu |
| 2008 | HPCC | SLUP: A Semantic-Based and Location-Aware Unstructured P2P Network. | Xin Sun, Kan Li, Yushu Liu, Yong Tian |