| 2026 | AAAI | Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models. | Xiao-Wen Yang, Xuan-Yi Zhu, Dingchu Zhang, Wen-Da Wei, Jie-Jing Shao, Zhi Zhou, Lan-Zhe Guo, Yufeng Li |
| 2026 | ACL | TabularMath: Understanding Math Reasoning over Tables with Large Language Models. | Shi-Yu Tian, Zhi Zhou, Wei Dong, Kun-Yang Yu, Ming Yang, Zi-Jian Cheng, Lan-Zhe Guo, Yufeng Li |
| 2026 | CGO | Dr.avx: A Dynamic Compilation System for Seamlessly Executing Hardware-Unsupported Vectorization Instructions. | Yue Tang, Mianzhi Wu, Yufeng Li, Haoyu Liao, Jianmei Guo, Bo Huang |
| 2026 | ISCAS | Probabilistic-Based Complementary Logic Gate Design. | Yufeng Li |
| 2026 | ISCAS | AssertSynth: LLM-Based Assertion Synthesis via Multimodal Specification Extraction. | Enyuan Tian, Yiwei Ci, Qiusong Yang, Yufeng Li, Zhichao Lyu |
| 2026 | LREC | FineDialFact: A Benchmark for Fine-Grained Dialogue Fact Verification. | Xiangyan Chen, Yufeng Li, Yujian Gan, Arkaitz Zubiaga, Matthew Purver |
| 2025 | AAAI | Fully Test-time Adaptation for Tabular Data. | Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li |
| 2025 | EMNLP | VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning. | Shi-Yu Tian, Zhi Zhou, Kun-Yang Yu, Ming Yang, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li |
| 2025 | ICLR | Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction. | Liangliang Shi, Yufeng Li, Kaipeng Zeng, Yihui Tu, Junchi Yan |
| 2025 | ICML | TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments. | Zi-Jian Cheng, Ziyi Jia, Zhi Zhou, Yufeng Li, Lan-Zhe Guo |
| 2025 | ICML | Vision-Language Model Selection and Reuse for Downstream Adaptation. | Hao-Zhe Tan, Zhi Zhou, Yufeng Li, Lan-Zhe Guo |
| 2025 | ICPADS | FedPLC: Noise-Robust Federated Learning for Object Detection in Autonomous Driving. | Yufeng Li, Qiange Li, Jun Shen |
| 2025 | ICPADS | Mobility-Aware Partial Task Offloading Scheme for Vehicular Edge Computing. | Yufeng Li, Lisha Tao, Jun Shen |
| 2025 | ICPADS | FCAC: Content-Aware Adaptive Configuration with Scene-Target Fusion in Edge Video Analytics. | Yufeng Li, Rui Yao, Zhihan Cao, Jun Shen |
| 2025 | IJCAI | Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models. | Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li |
| 2025 | IJCNN | Neural Adaptive Dependent Task Placement for IoT Streaming Applications. | Yue Ding, Yufeng Li, Chenhong Cao, Qi Liu |
| 2025 | WWW | SEHG: Bridging Interpretability and Prediction in Self-Explainable Heterogeneous Graph Neural Networks. | Zhenhua Huang, Wenhao Zhou, Yufeng Li, Xiuyang Wu, Chengpei Xu, Junfeng Fang, Zhaohong Jia, Linyuan L, Feng Xia |
| 2025 | SecureComm | A Few-Shot-Based Model-Agnostic Meta-learning for Intrusion Detection in Secure of In-Vehicle Network. | Yingjie Xu, Yufeng Li, Guiqi Zhang, Jun Shen |
| 2024 | AAAI | Rethinking Multi-Scale Representations in Deep Deraining Transformer. | Hongming Chen, Xiang Chen, Jiyang Lu, Yufeng Li |
| 2024 | AAAI | Safe Abductive Learning in the Presence of Inaccurate Rules. | Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou |
| 2024 | AAAI | Robust Test-Time Adaptation for Zero-Shot Prompt Tuning. | Dingchu Zhang, Zhi Zhou, Yufeng Li |
| 2024 | AAAI | HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors. | Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li |
| 2024 | ASPDAC | TIUP: Effective Processor Verification with Tautology-Induced Universal Properties. | Yufeng Li, Yiwei Ci, Qiusong Yang |
| 2024 | DAC | SEPE-SQED: Symbolic Quick Error Detection by Semantically Equivalent Program Execution. | Yufeng Li, Qiusong Yang, Yiwei Ci, Enyuan Tian |
| 2024 | ECCV | REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices. | Chaojie Ji, Yufeng Li, Yiyi Liao |
| 2024 | ECOOP | Pure Methods for roDOT. | Vlastimil Dort, Yufeng Li, Ondrej Lhotk, Pavel Parzek |
| 2024 | GLOBECOM | Flow-MPNN: A Flow-Based Message-Passing Neural Network for Traffic Engineering. | Yufeng Li, Deyun Gao, Weiting Zhang, Ping Dong |
| 2024 | ICLR | Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments. | Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li |
| 2024 | ICML | DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. | Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yufeng Li |
| 2024 | ICML | Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts. | Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yufeng Li |
| 2024 | ICML | Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts. | Xiaowen Yang, Wenda Wei, Jie-Jing Shao, Yufeng Li, Zhi-Hua Zhou |
| 2024 | IJCAI | LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning. | Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li |
| 2024 | IJCNN | Invisible Backdoor Attack against 3D Point Cloud by Optimized 3D Transformation. | Zou Ao, Yufeng Li |
| 2024 | INDIN | Deep Reinforcement Learning-Based End-to-End Navigation of Mobile Robots with Reward Shaping. | Yufeng Li, Jian Gao, Yimin Chen, Yaozhen He, Boxu Min |
| 2024 | KDD | Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model. | Jiang-Xin Shi, Chi Zhang, Tong Wei, Yufeng Li |
| 2024 | MMSP | Dual-Path Multi-Scale Transformer for High-Quality Image Deraining. | Huiling Zhou, Hongming Chen, Xianhao Wu, Yufeng Li |
| 2023 | CCGRID | WiDual: User Identified Gesture Recognition Using Commercial WiFi. | Miaoling Dai, Chenhong Cao, Tong Liu, Meijia Su, Yufeng Li, Jiangtao Li |
| 2023 | CVPR | Learning to See in Nighttime Driving Scenes with Inter-frequency Priors. | Zhentao Fan, Xianhao Wu, Xiang Chen, Yufeng Li |
| 2023 | CVPR | Dilated Convolutional Transformer for High-Quality Image Deraining. | Yufeng Li, Jiyang Lu, Hongming Chen, Xianhao Wu, Xiang Chen |
| 2023 | ICML | ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. | Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yufeng Li |
| 2023 | ICML | Identifying Useful Learnwares for Heterogeneous Label Spaces. | Lan-Zhe Guo, Zhi Zhou, Yufeng Li, Zhi-Hua Zhou |
| 2023 | ICML | Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. | Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yufeng Li |
| 2023 | ICPADS | EAVA: Adaptive and Fast Edge-assisted Video Analytics On Mobile Device. | Yingying Su, Chenhong Cao, Jiangtao Li, Yufeng Li |
| 2023 | MMSP | Multi-Scale Dilated Convolution Transformer for Single Image Deraining. | Xianhao Wu, Jiyang Lu, Jindi Wu, Yufeng Li |
| 2023 | TrustCom | Fooling Object Detectors in the Physical World with Natural Adversarial Camouflage. | Dandan Li, Yufeng Li, Guiqi Zhang, Ke Sun, Jiangtao Li |
| 2022 | CVPR | Unpaired Deep Image Deraining Using Dual Contrastive Learning. | Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Li, Yufeng Huang, Caihua Kong, Longgang Dai, Zhentao Fan |
| 2022 | CVPR | TARDet: Two-stage Anchor-free Rotating Object Detector in Aerial Images. | Longgang Dai, Hongming Chen, Yufeng Li, Caihua Kong, Zhentao Fan, Jiyang Lu, Xiang Chen |
| 2022 | ECCV | Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning. | Xiang Chen, Zhentao Fan, Pengpeng Li, Longgang Dai, Caihua Kong, Zhuoran Zheng, Yufeng Huang, Yufeng Li |
| 2022 | ICML | Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding. | Lan-Zhe Guo, Yufeng Li |
| 2022 | ICPADS | Towards Fast and Energy-Efficient Offloading for Vehicular Edge Computing. | Meijia Su, Chenhong Cao, Miaoling Dai, Jiangtao Li, Yufeng Li |
| 2022 | ICSOC | MicroSketch: Lightweight and Adaptive Sketch Based Performance Issue Detection and Localization in Microservice Systems. | Yufeng Li, Guangba Yu, Pengfei Chen, Chuanfu Zhang, Zibin Zheng |
| 2022 | KDD | Active Model Adaptation Under Unknown Shift. | Jie-Jing Shao, Yunlu Xu, Zhanzhan Cheng, Yufeng Li |
| 2022 | PAKDD | Prototypical Classifier for Robust Class-Imbalanced Learning. | Tong Wei, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang |
| 2022 | UIC | A Reusable Convolutional Accelerator for CNN on Resource-limited FPGA. | Aihui Jiang, Yufeng Li, Jiangtao Li, Chenhong Cao |
| 2021 | AAAI | Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability. | Tao Han, Wei-Wei Tu, Yufeng Li |
| 2021 | ICCV | NGC: A Unified Framework for Learning with Open-World Noisy Data. | Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yufeng Li |
| 2021 | ICML | Dash: Semi-Supervised Learning with Dynamic Thresholding. | Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yufeng Li, Baigui Sun, Hao Li, Rong Jin |
| 2021 | IJCAI | Abductive Learning with Ground Knowledge Base. | Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yufeng Li, Stephen H. Muggleton, Yuan Jiang |
| 2021 | IJCAI | Safe Weakly Supervised Learning. | Yufeng Li |
| 2021 | IJCAI | Towards Robust Model Reuse in the Presence of Latent Domains. | Jie-Jing Shao, Zhanzhan Cheng, Yufeng Li, Shiliang Pu |
| 2021 | KDD | Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. | Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Qi Zhang, Feng Kuang, Gao-Le Li, Zhang-Xun Liu, Guobin Wu, Nan Ma, Qun (Tracy) Li, Yufeng Li |
| 2021 | KDD | Probabilistic Label Tree for Streaming Multi-Label Learning. | Tong Wei, Jiang-Xin Shi, Yufeng Li |
| 2021 | KDD | Towards Robust Prediction on Tail Labels. | Tong Wei, Wei-Wei Tu, Yufeng Li, Guo-Ping Yang |
| 2020 | AAAI | IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience. | Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie |
| 2020 | AAAI | Learning from Weak-Label Data: A Deep Forest Expedition. | Qian-Wei Wang, Liang Yang, Yufeng Li |
| 2020 | AAAI | Semi-Supervised Streaming Learning with Emerging New Labels. | Yong-Nan Zhu, Yufeng Li |
| 2020 | ICDM | Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing. | Yu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yufeng Li, Zhi-Hua Zhou |
| 2020 | ICDM | Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection. | Yong-Nan Zhu, Xiaotian Luo, Yufeng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu |
| 2020 | ICML | Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. | Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou |
| 2020 | KDD | RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift. | Lan-Zhe Guo, Zhi Zhou, Yufeng Li |
| 2020 | TrustCom | TEADS: A Defense-aware Framework for Synthesizing Transient Execution Attacks. | Tianlin Huo, Wenhao Wang, Pei Zhao, Yufeng Li, Tingting Wang, Mingshu Li |
| 2019 | AAAI | Towards Automated Semi-Supervised Learning. | Yufeng Li, Hai Wang, Tong Wei, Wei-Wei Tu |
| 2019 | AAAI | Learning Compact Model for Large-Scale Multi-Label Data. | Tong Wei, Yufeng Li |
| 2019 | IJCAI | Rapid Performance Gain through Active Model Reuse. | Feng Shi, Yufeng Li |
| 2019 | IJCAI | Partial Label Learning with Unlabeled Data. | Qian-Wei Wang, Yufeng Li, Zhi-Hua Zhou |
| 2019 | IJCAI | Learning for Tail Label Data: A Label-Specific Feature Approach. | Tong Wei, Wei-Wei Tu, Yufeng Li |
| 2019 | MICCAI | Semi-supervised Semantic Segmentation of Multiple Lumbosacral Structures on CT. | Huaqing Liu, Haoping Xiao, Lishu Luo, Chaobo Feng, Bangde Yin, Dongdong Wang, Yufeng Li, Shisheng He, Guoxin Fan |
| 2019 | NPC | DIN: A Bio-Inspired Distributed Intelligence Networking. | Yufeng Li, Yankang Du, Chenhong Cao, Han Qiu |
| 2019 | PAKDD | Robust Semi-supervised Representation Learning for Graph-Structured Data. | Lan-Zhe Guo, Tao Han, Yufeng Li |
| 2018 | AAAI | Learning From Semi-Supervised Weak-Label Data. | Hao-Chen Dong, Yufeng Li, Zhi-Hua Zhou |
| 2018 | AAAI | A General Formulation for Safely Exploiting Weakly Supervised Data. | Lan-Zhe Guo, Yufeng Li |
| 2018 | ICDM | Large Margin Graph Construction for Semi-Supervised Learning. | Lan-Zhe Guo, Shao-Bo Wang, Yufeng Li |
| 2018 | IJCAI | Lightweight Label Propagation for Large-Scale Network Data. | De-Ming Liang, Yufeng Li |
| 2018 | IJCAI | Does Tail Label Help for Large-Scale Multi-Label Learning. | Tong Wei, Yufeng Li |
| 2018 | ISCAS | Low Power Area-Efficient DCT Implementation Based on Markov Random Field-Stochastic Logic. | Yufeng Li, Yan Li, Deqiang Cheng, Jie Chen |
| 2017 | AAAI | Learning Safe Prediction for Semi-Supervised Regression. | Yufeng Li, Han-Wen Zha, Zhi-Hua Zhou |
| 2017 | ISPA | Power Control Based Broadcast Packet Retransmission Collision Reduction Method in a Wireless Self-Organization Network. | Yupeng Wang, Zelong Yu, Yufeng Li, Xin Su |
| 2016 | AAAI | Risk Minimization in the Presence of Label Noise. | Wei Gao, Lu Wang, Yufeng Li, Zhi-Hua Zhou |
| 2016 | AAAI | Towards Safe Semi-Supervised Learning for Multivariate Performance Measures. | Yufeng Li, James T. Kwok, Zhi-Hua Zhou |
| 2016 | IJCAI | Graph Quality Judgement: A Large Margin Expedition. | Yufeng Li, Shao-Bo Wang, Zhi-Hua Zhou |
| 2016 | ISMAR | Perceptual Issues of a Passive Haptics Feedback Based MR System. | Zhizhuo Yang, Dongdong Weng, Zhenliang Zhang, Yufeng Li, Yue Liu |
| 2016 | PRICAI | Instance Selection Method for Improving Graph-Based Semi-supervised Learning. | Hai Wang, Shao-Bo Wang, Yufeng Li |
| 2016 | SDM | Kernelized Matrix Factorization for Collaborative Filtering. | Xinyue Liu, Charu C. Aggarwal, Yufeng Li, Xiangnan Kong, Xinyuan Sun, Saket Sathe |
| 2013 | AAAI | Multi-Label Learning with PRO Loss. | Miao Xu, Yufeng Li, Zhi-Hua Zhou |
| 2012 | AAAI | Towards Discovering What Patterns Trigger What Labels. | Yufeng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou |
| 2011 | AAAI | Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection. | Yufeng Li, Zhi-Hua Zhou |
| 2011 | ICML | Towards Making Unlabeled Data Never Hurt. | Yufeng Li, Zhi-Hua Zhou |
| 2011 | IJCAI | Diversity Regularized Machine. | Yang Yu, Yufeng Li, Zhi-Hua Zhou |
| 2010 | AAAI | Cost-Sensitive Semi-Supervised Support Vector Machine. | Yufeng Li, James T. Kwok, Zhi-Hua Zhou |
| 2009 | ICML | Semi-supervised learning using label mean. | Yufeng Li, James T. Kwok, Zhi-Hua Zhou |
| 2009 | ICML | Learning instance specific distances using metric propagation. | De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou |
| 2009 | ICML | Multi-instance learning by treating instances as non-I.I.D. samples. | Zhi-Hua Zhou, Yu-Yin Sun, Yufeng Li |
| 2009 | ICNC | Dynamic Particle Swarm Optimization Algorithm for Resolution of Overlapping Chromatograms. | Yufeng Li |
| 2007 | AINA | Design and Buffer Sizing of TCAM-Based Pipelined Forwarding Engines. | Yufeng Li, Han Qiu, Xiaozhuo Gu, Julong Lan, Jianwen Yang |
| 2006 | ICICS | Hardware-and-Software-Based Security Architecture for Broadband Router (Short Paper). | Xiaozhuo Gu, Yufeng Li, Jianzu Yang, Julong Lan |
| 2006 | PDCAT | Analysis of the Centralized Algorithm and the Distributed Algorithm for Parallel Packet Switch. | Yufeng Li, Han Qiu, Julong Lan, Jianwen Yang |