| 2026 | KSEM | NLPP: Two-Stage Label Quality Enhancement Framework for Noisy-Label Prompt Learning. | Xiuze Dong, Zhiqiang Liang, Maosheng He, Zhao Wang, Yifan He |
| 2025 | ICASSP | Exploring Inter-Variate and Long-Term Dependencies to Boost Multivariate Time Series Forecasting. | Xi Ding, Yifan He, Shuigeng Zhou, Guiyang Liu, Qi Zhou |
| 2025 | KR | Repairing General Game Descriptions. | Yifan He, Munyque Mittelmann, Aniello Murano, Abdallah Saffidine, Michael Thielscher |
| 2025 | KR | Automatically Verifying and Repairing General Game Descriptions. | Yifan He |
| 2025 | WWW | Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories. | Tianlong Wang, Xianfeng Jiao, Yinghao Zhu, Zhongzhi Chen, Yifan He, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma |
| 2025 | SIGIR | Tip of the Tongue Query Elicitation for Simulated Evaluation. | Yifan He, To Eun Kim, Fernando Diaz, Jaime Arguello, Bhaskar Mitra |
| 2025 | SANER | An Ensemble Learning Method Based on Neighborhood Granularity Discrimination Index and Its Application in Software Defect Prediction. | Yuqi Sha, Feng Jiang, Qiang Hu, Yifan He |
| 2024 | AAAI | Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification. | Fengxiang Yang, Zhun Zhong, Zhiming Luo, Yifan He, Shaozi Li, Nicu Sebe |
| 2024 | CEC | Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming. | Yifan He, Claus Aranha |
| 2024 | HIC | Interactive Design with Autistic Children using LLM and IoT for Personalized Training: The Good, The Bad and The Challenging. | Yongfu Wang, Mingyue Tang, Yifan He, Tiffany Ya Tang |
| 2024 | ICASSP | Selective Domain-Invariant Feature for Generalizable Deepfake Detection. | Yingxin Lai, Guoqing Yang, Yifan He, Zhiming Luo, Shaozi Li |
| 2024 | ICASSP | Multivariate Time Series Forecasting with Causal-Temporal Attention Network. | Wenbo Liu, Yifan He, Jihong Guan, Shuigeng Zhou |
| 2024 | ICASSP | Voice Toxicity Detection Using Multi-Task Learning. | Mahesh Kumar Nandwana, Yifan He, Joseph Liu, Xiao Yu, Charles Shang, Eloi du Bois, Morgan McGuire, Kiran Bhat |
| 2024 | IJCNN | Enhancing Lightweight Remote Sensing Semantic Segmentation via Weak Consistency Regularization. | Zirong Chen, Shunxin Xiao, Wang Man, Da-Han Wang, Yifan He, Shunzhi Zhu |
| 2024 | IJCNN | A Collaborative Framework Using Multimodal Data and Adaptive Noise for Human Behavior Anomaly Detection. | Guoqing Yang, Jianzhe Gao, Kejia Zhang, Yifan He, Zhiming Luo, Shaozi Li |
| 2024 | KR | Verification of General Games with Imperfect Information Using Strategy Logic. | Yifan He, Munyque Mittelmann, Aniello Murano, Abdallah Saffidine, Michael Thielscher |
| 2023 | GECCO | Fitness Landscape Analysis of Genetic Programming Search Spaces with Local Optima Networks. | Yifan He, Ferrante Neri |
| 2023 | ICASSP | Transplayer: Timbre Style Transfer with Flexible Timbre Control. | Yuxuan Wu, Yifan He, Xinlu Liu, Yi Wang, Roger B. Dannenberg |
| 2023 | ICCAD | An Energy-Efficient 3D Point Cloud Neural Network Accelerator With Efficient Filter Pruning, MLP Fusion, and Dual-Stream Sampling. | Changchun Zhou, Yuzhe Fu, Min Liu, Siyuan Qiu, Ge Li, Yifan He, Hailong Jiao |
| 2023 | ISCAS | A User-Friendly Fast and Accurate Simulation Framework for Non-Ideal Factors in Computing-in-Memory Architecture. | Zi Wang, Jinshan Yue, Chaojie He, Zhuoyu Dai, Feibin Xiang, Zhaori Cong, Yifan He, Xiaoyu Feng, Yongpan Liu |
| 2022 | ASPDAC | Sparsity-Aware Non-Volatile Computing-In-Memory Macro with Analog Switch Array and Low-Resolution Current-Mode ADC. | Yuxuan Huang, Yifan He, Jinshan Yue, Wenyu Sun, Huazhong Yang, Yongpan Liu |
| 2022 | GECCO | Incorporating sub-programs as knowledge in program synthesis by PushGP and adaptive replacement mutation. | Yifan He, Claus Aranha, Tetsuya Sakurai |
| 2022 | ICASSP | An Efficient Framework for Detection and Recognition of Numerical Traffic Signs. | Zhishan Li, Mingmu Chen, Yifan He, Lei Xie, Hongye Su |
| 2022 | ICASSP | Multi-Modal Learning with Text Merging for TEXTVQA. | Changsheng Xu, Zhenlong Xu, Yifan He, Shuigeng Zhou, Jihong Guan |
| 2022 | ISCAS | C-RRAM: A Fully Input Parallel Charge-Domain RRAM-based Computing-in-Memory Design with High Tolerance for RRAM Variations. | Yifan He, Yuxuan Huang, Jinshan Yue, Wenyu Sun, Lu Zhang, Yongpan Liu |
| 2021 | ASPDAC | Block-Circulant Neural Network Accelerator Featuring Fine-Grained Frequency-Domain Quantization and Reconfigurable FFT Modules. | Yifan He, Jinshan Yue, Yongpan Liu, Huazhong Yang |
| 2021 | ASPDAC | A Non-Volatile Computing-In-Memory Framework With Margin Enhancement Based CSA and Offset Reduction Based ADC. | Yuxuan Huang, Yifan He, Jinshan Yue, Huazhong Yang, Yongpan Liu |
| 2021 | DAC | An Energy-Efficient Low-Latency 3D-CNN Accelerator Leveraging Temporal Locality, Full Zero-Skipping, and Hierarchical Load Balance. | Changchun Zhou, Min Liu, Siyuan Qiu, Yifan He, Hailong Jiao |
| 2021 | ICONIP | Continual Learning with Laplace Operator Based Node-Importance Dynamic Architecture Neural Network. | Zhiyuan Li, Ming Meng, Yifan He, Yihao Liao |
| 2020 | ICARCV | PBDE: An Effective Method for Filtering False Positive Boxes in Object Detection. | Zhishan Li, Baozhi Jia, Mingmu Chen, Shaokai Xu, Yifan He, Lei Xie |
| 2020 | IJCAI | Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-Attention. | Feng Li, Runming Cong, Huihui Bai, Yifan He |
| 2020 | SIGIR | Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models. | Mengxi Wei, Yifan He, Qiong Zhang |
| 2019 | CIKM | Enriching Pre-trained Language Model with Entity Information for Relation Classification. | Shanchan Wu, Yifan He |
| 2019 | ICDAR | Text-Based Image Style Transfer and Synthesis. | Yifan He, Jian Li, Anna Zhu |
| 2019 | ICDM | Diversity-Aware Recommendation by User Interest Domain Coverage Maximization. | Yifan He, Haitao Zou, Hualong Yu, Qi Wang, Shang Gao |
| 2018 | DSD | Datawidth-Aware Energy-Efficient Multipliers: A Case for Going Sign Magnitude. | Luc Waeijen, Hailong Jiao, Henk Corporaal, Yifan He |
| 2017 | HCI | The Effect of Emotion in an Ultimatum Game: The Bio-Feedback Evidence. | Yifan He, Tiffany Ya Tang |
| 2017 | ISPA | Comparison between CAN and CAN FD: A Quantified Approach. | Yong Xie, Pengcheng Huang, Wei Liang, Yifan He |
| 2016 | DSD | MacSim: A MAC-Enabled High-Performance Low-Power SIMD Architecture. | Tong Geng, Luc Waeijen, Maurice Peemen, Henk Corporaal, Yifan He |
| 2016 | ICECCS | Pareto Optimal Scheduling for Synchronous Data Flow Graphs on Heterogeneous Multiprocessor. | Yu-Lei Gu, Xue-Yang Zhu, Guangquan Zhang, Yifan He |
| 2016 | LREC | Entity Linking with a Paraphrase Flavor. | Maria Pershina, Yifan He, Ralph Grishman |
| 2016 | PACLIC | The Interaction between SFP-Ne and SpOAs in Mandarin Chinese-A corpus based approach. | Yifan He |
| 2015 | EMNLP | Idiom Paraphrases: Seventh Heaven vs Cloud Nine. | Maria Pershina, Yifan He, Ralph Grishman |
| 2015 | NAACL | ICE: Rapid Information Extraction Customization for NLP Novices. | Yifan He, Ralph Grishman |
| 2015 | NAACL | Personalized Page Rank for Named Entity Disambiguation. | Maria Pershina, Yifan He, Ralph Grishman |
| 2015 | RANLP | Jointly Embedding Relations and Mentions for Knowledge Population. | Miao Fan, Kai Cao, Yifan He, Ralph Grishman |
| 2014 | DAC | Reduction Operator for Wide-SIMDs Reconsidered. | Luc Waeijen, Dongrui She, Henk Corporaal, Yifan He |
| 2014 | LREC | Corpus and Method for Identifying Citations in Non-Academic Text. | Yifan He, Adam Meyers |
| 2014 | LREC | Annotating Relations in Scientific Articles. | Adam Meyers, Giancarlo Lee, Angus Grieve-Smith, Yifan He, Harriet Taber |
| 2013 | FPL | MAMPSX: A demonstration of rapid, predictable HMPSOC synthesis. | Shakith Fernando, Mark Wijtvliet, Firew Siyoum, Yifan He, Sander Stuijk, Akash Kumar, Henk Corporaal |
| 2013 | RANLP | Towards Fine-grained Citation Function Classification. | Xiang Li, Yifan He, Adam Meyers, Ralph Grishman |
| 2013 | RSP | MAMPSx: A design framework for rapid synthesis of predictable heterogeneous MPSoCs. | Shakith Fernando, Firew Siyoum, Yifan He, Akash Kumar, Henk Corporaal |
| 2012 | ACL | Identifying High-Impact Sub-Structures for Convolution Kernels in Document-level Sentiment Classification. | Zhaopeng Tu, Yifan He, Jennifer Foster, Josef van Genabith, Qun Liu, Shouxun Lin |
| 2012 | CASES | Energy efficient special instruction support in an embedded processor with compact isa. | Dongrui She, Yifan He, Henk Corporaal |
| 2012 | COLING | An Evaluation of Statistical Post-Editing Systems Applied to RBMT and SMT Systems. | Hanna Bchara, Raphal Rubino, Yifan He, Yanjun Ma, Josef van Genabith |
| 2012 | COLING | Combining Multiple Alignments to Improve Machine Translation. | Zhaopeng Tu, Yang Liu, Yifan He, Josef van Genabith, Qun Liu, Shouxun Lin |
| 2012 | DATE | Scheduling for register file energy minimization in explicit datapath architectures. | Dongrui She, Yifan He, Bart Mesman, Henk Corporaal |
| 2011 | ACIVS | Feasibility Analysis of Ultra High Frame Rate Visual Servoing on FPGA and SIMD Processor. | Yifan He, Zhenyu Ye, Dongrui She, Bart Mesman, Henk Corporaal |
| 2011 | ACL | Consistent Translation using Discriminative Learning - A Translation Memory-inspired Approach. | Yanjun Ma, Yifan He, Andy Way, Josef van Genabith |
| 2011 | MVA | Bottlenecks and Tradeoffs in High Frame Rate Visual Servoing: A Case Study. | Zhenyu Ye, Yifan He, Roel Pieters, Bart Mesman, Henk Corporaal, Pieter Jonker |
| 2010 | ACL | Bridging SMT and TM with Translation Recommendation. | Yifan He, Yanjun Ma, Josef van Genabith, Andy Way |
| 2010 | AMTA | Improving the Post-Editing Experience using Translation Recommendation: A User Study. | Yifan He, Yanjun Ma, Johann Roturier, Andy Way, Josef van Genabith |
| 2010 | COLING | Integrating N-best SMT Outputs into a TM System. | Yifan He, Yanjun Ma, Andy Way, Josef van Genabith |
| 2010 | DAC | Xetal-Pro: an ultra-low energy and high throughput SIMD processor. | Yifan He, Yu Pu, Richard P. Kleihorst, Zhenyu Ye, Anteneh A. Abbo, Sebastian M. Londono, Henk Corporaal |
| 2009 | EAMT | Learning Labelled Dependencies in Machine Translation Evaluation. | Yifan He, Andy Way |
| 2009 | PACLIC | Capturing Lexical Variation in MT Evaluation Using Automatically Built Sense-Cluster Inventories. | Marianna Apidianaki, Yifan He, Andy Way |
| 2008 | ACIVS | Real-Time Hough Transform on 1-D SIMD Processors: Implementation and Architecture Exploration. | Yifan He, Zoran Zivkovic, Richard P. Kleihorst, Alexander Danilin, Henk Corporaal, Bart Mesman |