| 2026 | AAAI | Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrdinger Bridges. | Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li |
| 2026 | AAAI | Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning. | Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yufei Huang, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun |
| 2026 | WWW | VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention. | Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu, Stan Z. Li |
| 2025 | AAAI | dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. | Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li |
| 2025 | AAAI | FoldToken: Learning Protein Language via Vector Quantization and Beyond. | Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li |
| 2025 | AAAI | Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. | Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li |
| 2025 | ACL | GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion. | Kangyang Luo, Yuzhuo Bai, Cheng Gao, Shuzheng Si, Zhu Liu, Yingli Shen, Zhitong Wang, Cunliang Kong, Wenhao Li, Yufei Huang, Ye Tian, Xuantang Xiong, Lei Han, Maosong Sun |
| 2025 | ACL | Document Segmentation Matters for Retrieval-Augmented Generation. | Zhitong Wang, Cheng Gao, Chaojun Xiao, Yufei Huang, Shuzheng Si, Kangyang Luo, Yuzhuo Bai, Wenhao Li, Tangjian Duan, Chuancheng Lv, Guoshan Lu, Gang Chen, Fanchao Qi, Maosong Sun |
| 2025 | CVPR | DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing. | Yufei Huang, Bangyan Liao, Yuqi Hu, Haitao Lin, Lirong Wu, Siyuan Li, Cheng Tan, Zicheng Liu, Yunfan Liu, Zelin Zang, Chang Yu, Zhen Lei |
| 2025 | EMNLP | FigEx: Aligned Extraction of Scientific Figures and Captions. | Jifeng Song, Arun Das, Ge Cui, Yufei Huang |
| 2025 | EMNLP | BioGraphia: A LLM-Assisted Biological Pathway Graph Annotation Platform. | Xi Xu, Sumin Jo, Adam Officer, Angela Chen, Yufei Huang, Lei Li |
| 2025 | ICLR | EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow. | Yufei Huang, Yunshu Liu, Lirong Wu, Haitao Lin, Cheng Tan, Odin Zhang, Zhangyang Gao, Siyuan Li, Zicheng Liu, Yunfan Liu, Tailin Wu, Stan Z. Li |
| 2025 | ICLR | MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. | Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li |
| 2025 | ICLR | CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. | Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Cheng Tan, Zicheng Liu, Zhifeng Gao, Stan Z. Li |
| 2025 | ICLR | A Simple yet Effective ΔΔG Predictor is An Unsupervised Antibody Optimizer and Explainer. | Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li |
| 2025 | ICML | A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity. | Yufei Huang, Changhu Wang, Junjie Tang, Weichi Wu, Ruibin Xi |
| 2024 | AAAI | Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. | Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li |
| 2024 | AAAI | PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. | Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li |
| 2024 | ACL | OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety. | Chuang Liu, Linhao Yu, Jiaxuan Li, Renren Jin, Yufei Huang, Ling Shi, Junhui Zhang, Xinmeng Ji, Tingting Cui, Tao Liu, Jinwang Song, Hongying Zan, Sun Li, Deyi Xiong |
| 2024 | ACL | CToolEval: A Chinese Benchmark for LLM-Powered Agent Evaluation in Real-World API Interactions. | Zishan Guo, Yufei Huang, Deyi Xiong |
| 2024 | ACL | FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection. | Yufei Huang, Xu Han, Maosong Sun |
| 2024 | ACL | CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models. | Linhao Yu, Yongqi Leng, Yufei Huang, Shang Wu, Haixin Liu, Xinmeng Ji, Jiahui Zhao, Jinwang Song, Tingting Cui, Xiaoqing Cheng, Liutao Liutao, Deyi Xiong |
| 2024 | CIKM | Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation. | Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Stan Z. Li |
| 2024 | COLING | CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models. | Yufei Huang, Deyi Xiong |
| 2024 | COLING | IT2ACL Learning Easy-to-Hard Instructions via 2-Phase Automated Curriculum Learning for Large Language Models. | Yufei Huang, Deyi Xiong |
| 2024 | ICLR | Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. | Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li |
| 2024 | ICLR | MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. | Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li |
| 2024 | ICML | Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. | Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li |
| 2024 | ICML | GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation. | Haitao Lin, Lirong Wu, Yufei Huang, Yunfan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, Stan Z. Li |
| 2024 | ICML | PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching. | Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li |
| 2024 | ICML | VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. | Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li |
| 2024 | ICML | Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. | Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li |
| 2023 | AAAI | Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework. | Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li |
| 2023 | ICML | Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. | Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li |
| 2022 | ACL | Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. | Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li |
| 2022 | EMNLP | FPT: Improving Prompt Tuning Efficiency via Progressive Training. | Yufei Huang, Yujia Qin, Huadong Wang, Yichun Yin, Maosong Sun, Zhiyuan Liu, Qun Liu |
| 2022 | ESORICS | Administration of Machine Learning Based Access Control. | Mohammad Nur Nobi, Ram Krishnan, Yufei Huang, Ravi S. Sandhu |
| 2021 | AAAI | Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. | Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad |
| 2021 | DBSEC | Access Control Policy Generation from User Stories Using Machine Learning. | John Heaps, Ram Krishnan, Yufei Huang, Jianwei Niu, Ravi S. Sandhu |
| 2021 | HCI | Addressing Human Factors and Ethics in the Design of 'Future Work' and Intelligent Systems for Use in Financial Services - Person Centered Operations, Intelligent Work & the Triple Bottom Line. | Joan Cahill, Vivienne Howard, Yufei Huang, Junchi Ye, Stephen Ralph, Aidan Dillon |
| 2021 | HCI | Intelligent Work: Person Centered Operations, Worker Wellness and the Triple Bottom Line. | Joan Cahill, Vivienne Howard, Yufei Huang, Junchi Ye, Stephen Ralph, Aidan Dillon |
| 2021 | NAACL | TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference. | Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun |
| 2020 | ISMAR | Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals. | Rifatul Islam, Yonggun Lee, Mehrad Jaloli, Imtiaz Muhammad, Dakai Zhu, Paul Rad, Yufei Huang, John Quarles |
| 2019 | AAIM | On Approximation Algorithm for the Edge Metric Dimension Problem. | Yufei Huang, Bo Hou, Wen Liu, Lidong Wu, Stephen B. Rainwater, Suogang Gao |
| 2019 | CIKM | Improving Web Image Search with Contextual Information. | Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Qingyao Ai, Yufei Huang, Min Zhang, Shaoping Ma |
| 2019 | SMC | Predicting Auditory Spatial Attention from EEG using Single- and Multi-task Convolutional Neural Networks. | Zhentao Liu, Jeffrey Mock, Yufei Huang, Edward J. Golob |
| 2019 | SMC | Target Classification in a Novel SSVEP-RSVP Based BCI Gaming System. | Tapsya Nayak, Li-Wei Ko, Tzyy-Ping Jung, Yufei Huang |
| 2019 | SMC | A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals. | Sharaj Panwar, Paul Rad, John Quarles, Edward J. Golob, Yufei Huang |
| 2019 | SMC | Generating EEG signals of an RSVP Experiment by a Class Conditioned Wasserstein Generative Adversarial Network. | Sharaj Panwar, Paul Rad, John Quarles, Yufei Huang |
| 2017 | HCI | Deep Transfer Learning for Cross-subject and Cross-experiment Prediction of Image Rapid Serial Visual Presentation Events from EEG Data. | Mehdi Hajinoroozi, Zijing Mao, Yuan-Pin Lin, Yufei Huang |
| 2017 | SMC | Driver's fatigue prediction by deep covariance learning from EEG. | Mehdi Hajinoroozi, Jianqiu (Michelle) Zhang, Yufei Huang |
| 2016 | HCI | Predicting EEG Sample Size Required for Classification Calibration. | Zijing Mao, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang |
| 2013 | ICASSP | A bag-of-words model for task-load prediction from EEG in complex environments. | Lenis Mauricio Merino, Jia Meng, Stephen M. Gordon, Brent J. Lance, Tony Johnson, Victor Paul, Kay Robbins, Jean M. Vettel, Yufei Huang |
| 2011 | ICASSP | Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor model. | Jia Meng, Hung-I Chen, Jianqiu Zhang, Yidong Chen, Yufei Huang |
| 2008 | ICASSP | Bayesian peak detection for Pro-TOF MS MALDI data. | Jianqiu Zhang, Honghui Wang, Anthony Suffredini, Denise Gonzales, Elias Gonzalez, Yufei Huang, Xiaobo Zhou |
| 2006 | ICASSP | Reverse Engineering Yeast Gene Regulatory Networks using Graphical Models. | Jiayin Wang, Yufei Huang, Maribel Sanchez, Yufeng Wang, Jianqiu (Michelle) Zhang |
| 2006 | ICRA | Particle Filtering for Adaptive Sensor Fault Detection and Identification. | Tao Wei, Yufei Huang, C. L. Philip Chen |
| 2005 | ICASSP | Belief-directed sequential probabilistic data association multiuser detector. | Yufei Huang, Yufang Yin, Jianqiu (Michelle) Zhang |
| 2005 | ICASSP | Symbol detection with time-varying unknown phase by expectation propagation. | Tao Wei, Yufei Huang, Yuan (Alan) Qi |
| 2005 | SMC | Remaining engine life estimation for a sensor-based aircraft engine. | Ten-Huei Guo, Philip Chen, Yufei Huang |
| 2004 | GLOBECOM | Adaptive blind multiuser detection over flat fast fading channels using particle filtering. | Yufei Huang, Jianqiu (Michelle) Zhang, Isabel M. Tienda-Luna, Petar M. Djuric, Diego Pablo Ruiz Padillo |
| 2004 | GLOBECOM | Turbo equalization using probabilistic data association. | Yufang Yin, Yufei Huang, Jianqiu (Michelle) Zhang |
| 2004 | ICASSP | Joint symbol detection and timing estimation with stochastic M-algorithm. | Yufang Yin, Yufei Huang, Jianqiu (Michelle) Zhang |
| 2004 | ISIT | A generalized probabilistic data association multiuser detector. | Yufei Huang, Jianqiu (Michelle) Zhang |
| 2003 | GLOBECOM | Joint velocity estimation and symbol detection in non-stationary fading channels by particle filtering. | Yufei Huang, Petar M. Djuric, Jianqiu (Michelle) Zhang |
| 2003 | ICASSP | Lower bounds on the variance of deterministic signal parameter estimators using Bayesian inference. | Yufei Huang, Jianqiu (Michelle) Zhang |
| 2002 | ICASSP | A new importance function for particle filtering and its application to blind detection in flat fading channels. | Yufei Huang, Petar M. Djuric |
| 2001 | ICASSP | Multiuser detection of synchronous CDMA signals by the Gibbs coupler. | Yufei Huang, Petar M. Djuric |
| 2000 | ICASSP | Bayesian detection of transient signals in colored noise. | Yufei Huang, Petar M. Djuric |