| 2026 | AAAI | Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs. | Chenghao Sun, Zhen Huang, Yonggang Zhang, Xinmei Tian, Xu Shen, Jieping Ye |
| 2026 | AAAI | Frequency-Dependent Scheduled Schrdinger Bridge for Underwater Acoustic Signal Denoising. | Pengsen Zhu, Lina Gao, Yulong Huang, Lifeng Liu, Zeru Yang, Yonggang Zhang |
| 2026 | ACL | Trust Within? Seek Beyond? Knowledge Boundary Aware Policy Optimization for Agentic Search. | Tao Feng, Xinke Jiang, Xinyan Hu, Yonggang Zhang, Zhen Tao, Wentao Zhang, Boyang Liu, Wenhao Jiang, Chao Wu |
| 2026 | ACL | Generating then Refining for Reliable Knowledge Base Question Answering. | Jianqi Gao, Hang Yu, Jian Cao, Ranran Bu, Jinghua Tang, Nengjun Zhu, Yonggang Zhang |
| 2025 | AAAI | Component-Level Segmentation for Oracle Bone Inscription Decipherment. | Zhikai Hu, Yiu-ming Cheung, Yonggang Zhang, Peiying Zhang, Puiling Tang |
| 2025 | ACL | Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings. | Chenghao Sun, Zhen Huang, Yonggang Zhang, Le Lu, Houqiang Li, Xinmei Tian, Xu Shen, Jieping Ye |
| 2025 | ACL | Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions. | Yiqun Wang, Chaoqun Wan, Sile Hu, Yonggang Zhang, Xiang Tian, Yaowu Chen, Xu Shen, Jieping Ye |
| 2025 | ECAI | Faster Lifting for Ordered Domains with Predecessor Relations. | Kuncheng Zou, Jiahao Mai, Yonggang Zhang, Yuyi Wang, Ondrej Kuzelka, Yuanhong Wang, Yi Chang |
| 2025 | ICDE | Characterizing Submanifold Region for Out-of-Distribution Detection: (Extended Abstract). | Xuhui Li, Zhen Fang, Yonggang Zhang, Ning Ma, Jiajun Bu, Bo Han, Haishuai Wang |
| 2025 | ICLR | MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection. | Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Yonggang Zhang, Zi Huang, Yadan Luo |
| 2025 | ICLR | Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs. | Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye |
| 2025 | ICLR | Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection. | Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han |
| 2025 | ICML | Enhancing Target-unspecific Tasks through a Features Matrix. | Fangming Cui, Yonggang Zhang, Xuan Wang, Xinmei Tian, Jun Yu |
| 2025 | KDD | Distributional Prototype Learning for Out-of-distribution Detection. | Bo Peng, Jie Lu, Yonggang Zhang, Guangquan Zhang, Zhen Fang |
| 2025 | WWW | Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment. | Jianqi Gao, Hao Wu, Yiu-ming Cheung, Jian Cao, Hang Yu, Yonggang Zhang |
| 2024 | AAAI | Federated Learning with Extremely Noisy Clients via Negative Distillation. | Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang |
| 2024 | ICAPS | More Flexible Proximity Wildcards Path Planning with Compressed Path Databases. | Xi Chen, Yue Zhang, Yonggang Zhang |
| 2024 | ICLR | Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting. | Rong Dai, Yonggang Zhang, Ang Li, Tongliang Liu, Xun Yang, Bo Han |
| 2024 | ICLR | Out-of-Distribution Detection with Negative Prompts. | Jun Nie, Yonggang Zhang, Zhen Fang, Tongliang Liu, Bo Han, Xinmei Tian |
| 2024 | ICLR | ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection. | Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang |
| 2024 | ICLR | FedImpro: Measuring and Improving Client Update in Federated Learning. | Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu |
| 2024 | ICLR | Robust Training of Federated Models with Extremely Label Deficiency. | Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han |
| 2024 | ICLR | NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation. | Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han |
| 2024 | ICML | From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. | Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye |
| 2024 | ICML | Interpreting and Improving Large Language Models in Arithmetic Calculation. | Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye |
| 2023 | CVPR | Hard Sample Matters a Lot in Zero-Shot Quantization. | Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan |
| 2023 | EMNLP | Continual Named Entity Recognition without Catastrophic Forgetting. | Duzhen Zhang, Wei Cong, Jiahua Dong, Yahan Yu, Xiuyi Chen, Yonggang Zhang, Zhen Fang |
| 2023 | GLOBECOM | Efficient and Privacy-Preserving Eclipse Query Over Encrypted Data. | Weiyu Song, Yonggang Zhang, Lili Sun, Yandong Zheng, Rongxing Lu |
| 2023 | ICLR | Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. | Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng |
| 2023 | ICML | Moderately Distributional Exploration for Domain Generalization. | Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian |
| 2023 | KSEM | A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction. | Xu Liu, Ruiqi Cai, Yonggang Zhang |
| 2023 | Mobiquitous | A Novel Task Assignment Adjustment Method in Spatial-Temporal Crowdsourcing. | Bingyi Sun, Jiaxu Cui, Hongtao Bai, Yonggang Zhang |
| 2022 | CVPR | Prompt Distribution Learning. | Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian |
| 2022 | CVPR | Meta Convolutional Neural Networks for Single Domain Generalization. | Chaoqun Wan, Xu Shen, Yonggang Zhang, Zhiheng Yin, Xinmei Tian, Feng Gao, Jianqiang Huang, Xian-Sheng Hua |
| 2022 | ICLR | Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. | Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng |
| 2022 | ICLR | Adversarial Robustness Through the Lens of Causality. | Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schlkopf, Kun Zhang |
| 2022 | ICML | Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. | Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu |
| 2021 | GLOBECOM | Estimation Performance of Cyber-Physical Systems Attacked by False Data Injection. | Yanan Du, Ning Li, Yonggang Zhang |
| 2021 | KSEM | AABC: ALBERT-BiLSTM-CRF Combining with Adapters. | Jiayan Wang, Ziang Chen, Juchuan Niu, Yonggang Zhang |
| 2020 | ICML | Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks. | Yonggang Zhang, Ya Li, Tongliang Liu, Xinmei Tian |
| 2019 | ICASSP | A Novel Progressive Gaussian Approximate Filter with Variable Step Size Based on a Variational Bayesian Approach. | Mingming Bai, Yulong Huang, Yonggang Zhang, Lyudmila Mihaylova, Jonathon A. Chambers |
| 2019 | KSEM | A New Monarch Butterfly Optimization Algorithm with SA Strategy. | Xitong Wang, Xin Tian, Yonggang Zhang |
| 2018 | FUSION | A Novel Robust Rauch-Tung-Striebel Smoother Based on Slash and Generalized Hyperbolic Skew Student's T-Distributions. | Yulong Huang, Yonggang Zhang, Yuxin Zhao, Lyudmila Mihaylova, Jonathon A. Chambers |
| 2018 | KSEM | The New Adaptive ETLBO Algorithms with K-Armed Bandit Model. | Xitong Wang, Yonggang Zhang, Jiaxu Cui |
| 2016 | FUSION | A robust Student's t based cubature filter. | Yulong Huang, Yonggang Zhang, Ning Li, Syed Mohsen Naqvi, Jonathon A. Chambers |
| 2016 | FUSION | A robust and efficient system identification method for a state-space model with heavy-tailed process and measurement noises. | Yulong Huang, Yonggang Zhang, Ning Li, Syed Mohsen Naqvi, Jonathon A. Chambers |
| 2016 | ICASSP | A robust Gaussian approximate filter for nonlinear systems with heavy tailed measurement noises. | Yulong Huang, Yonggang Zhang, Ning Li, Jonathon A. Chambers |
| 2016 | IDEAL | MR-Swarm: Mining Swarms from Big Spatio-Temporal Trajectories Using MapReduce. | Yanwei Yu, Jianpeng Qi, Yunhui Lu, Yonggang Zhang, Zhaowei Liu |
| 2012 | ICTAI | Efficient Singleton Consistency by Combining Forward Checking and Bound Consistency. | Jinsong Guo, Zhanshan Li, Yonggang Zhang |
| 2011 | CICLING | Co-clustering Sentences and Terms for Multi-document Summarization. | Yunqing Xia, Yonggang Zhang, Jian-Min Yao |
| 2009 | ICASSP | Multimodal blind source separation for moving sources. | Syed M. Naqvi, Yonggang Zhang, Jonathon A. Chambers |
| 2008 | ACSSC | Variable length adaptive filtering within incremental learning algorithms for distributed networks. | Leilei Li, Yonggang Zhang, Jonathon A. Chambers |
| 2007 | ICASSP | A New Variable Step-Size LMS Algorithm with Robustness to Nonstationary Noise. | Yonggang Zhang, Jonathon A. Chambers, Wenwu Wang, Paul Kendrick, Trevor J. Cox |
| 2007 | NLDB | Ontological Text Mining of Software Documents. | Ren Witte, Qiangqiang Li, Yonggang Zhang, Juergen Rilling |
| 2006 | COMPSAC | An Ontology-Based Approach to Software Comprehension - Reasoning about Security Concerns. | Yonggang Zhang, Juergen Rilling, Volker Haarslev |
| 2006 | ICASSP | Room Acoustic Parameter Extraction from Music Signals. | Paul Kendrick, Trevor J. Cox, Yonggang Zhang, Jonathon A. Chambers, Francis F. Li |
| 2006 | KES | Acoustic Parameter Extraction from Occupied Rooms Utilizing Blind Source Separation. | Yonggang Zhang, Jonathon A. Chambers, Paul Kendrick, Trevor J. Cox, Francis F. Li |
| 2006 | MODELS | A Unified Ontology-Based Process Model for Software Maintenance and Comprehension. | Juergen Rilling, Yonggang Zhang, Wen Jun Meng, Ren Witte, Volker Haarslev, Philippe Charland |