| 2026 | AAAI | Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering. | Zexi Tan, Xiaopeng Luo, Yunlin Liu, Yiqun Zhang |
| 2026 | AAAI | ICL-Router: In-Context Learned Model Representations for LLM Routing. | Chenxu Wang, Hao Li, Yiqun Zhang, Linyao Chen, Jianhao Chen, Ping Jian, Qiaosheng Zhang, Shuyue Hu |
| 2026 | AAAI | The Avengers: A Routing Recipe for Collective Intelligence in Language Models. | Yiqun Zhang, Hao Li, Chenxu Wang, Linyao Chen, Qiaosheng Zhang, Peng Ye, Shi Feng, Xinrun Wang, Xu Jia, Lei Bai, Shuyue Hu |
| 2026 | AAAI | Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering. | Mingjie Zhao, Zhanpei Huang, Yang Lu, Mengke Li, Yiqun Zhang, Weifeng Su, Yiu-ming Cheung |
| 2026 | ACL | Design First, Code Later: Aesthetically Pleasing Template-Free Slides Generation. | Zhiyao Cui, Chenxu Wang, Shuyue Hu, Yiqun Zhang, Wenqi Shao, Qiaosheng Zhang, Zhen Wang |
| 2026 | ACL | SAD: A Large-Scale Strategic Argumentative Dialogue Dataset. | Yongkang Liu, Jiayang Yu, Mingyang Wang, Yiqun Zhang, Ercong Nie, Shi Feng, Daling Wang, Kaisong Song, Hinrich Schtze |
| 2026 | ACL | LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing. | Hao Li, Yiqun Zhang, Zhaoyan Guo, Chenxu Wang, Shengji Tang, Qiaosheng Zhang, Yang Chen, Biqing Qi, Peng Ye, Lei Bai, Zhen Wang, Shuyue Hu |
| 2026 | ACL | DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & Inference. | Zihan Wang, Hao Wang, Shi Feng, Xiaocui Yang, Daling Wang, Yiqun Zhang, Jinghao Lin, Xiaozhong Ji, Haihua Yang |
| 2026 | ACL | Why Do More Experts Fail? A Theoretical Analysis of Model Merging. | Zijing Wang, Xingle Xu, Yongkang Liu, Yiqun Zhang, Peiqin Lin, Shi Feng, Daling Wang, Xiaocui Yang, Hinrich Schtze |
| 2026 | ACL | MTRouter: Cost-Aware Multi-Turn LLM Routing with History-Model Joint Embeddings. | Yiqun Zhang, Hao Li, Zihan Wang, Shi Feng, Xiaocui Yang, Daling Wang, Bo Zhang, Lei Bai, Shuyue Hu |
| 2026 | ACL | Nature-Inspired Population-Based Evolution of Large Language Models. | Yiqun Zhang, Peng Ye, Xiaocui Yang, Shi Feng, Shufei Zhang, Lei Bai, Wanli Ouyang, Shuyue Hu |
| 2026 | DASFAA | HyReaL: Clustering Attributed Graph via Hyper-complex Space Representation Learning. | Junyang Chen, Yang Lu, Mengke Li, Cuie Yang, Yiqun Zhang, Yiu-ming Cheung |
| 2026 | ICPR | Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models. | Zihua Yang, Xin Liao, Yiqun Zhang, Yiu-ming Cheung |
| 2026 | VR | Spatial Exploration Behavior in XR Learning: Toward Passive Assessment of Embodied Engagement. | Yiyin Gu, Yiqun Zhang, Miguel Alfonso Feijo-Garca, Alejandra J. Magana, Bedrich Benes, Voicu Popescu |
| 2025 | AAAI | Asynchronous Federated Clustering with Unknown Number of Clusters. | Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen, Yiu-ming Cheung |
| 2025 | COLING | TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM. | Huiying Cao, Yiqun Zhang, Shi Feng, Xiaocui Yang, Daling Wang, Yifei Zhang |
| 2025 | CVPR | Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch. | Yijie Liu, Xinyi Shang, Yiqun Zhang, Yang Lu, Chen Gong, Jing-Hao Xue, Hanzi Wang |
| 2025 | ECAI | FairFed++: Closing the Fairness Gap in Federated Learning Through Self-Evolving Clustered Optimization. | Zhixiang Fang, Baoyao Yang, Weide Zhan, Yanchao Tang, Yiqun Zhang |
| 2025 | ICASSP | Robust Qualitative Data Clustering via Learnable Multi-Metric Space Fusion. | Sen Feng, Mingjie Zhao, Zhanpei Huang, Yuzhu Ji, Yiqun Zhang, Yiu-Ming Cheung |
| 2025 | ICASSP | SmartNet: One-shot Talking Head Synthesis via Subtle Motion and Appearance Compensation. | Wei Hu, Yuzhu Ji, An Zeng, Dan Pan, Yiqun Zhang, Haijun Zhang |
| 2025 | ICASSP | Improving Speech Enhancement by Cross- and Sub-band Processing with State Space Model. | Jizhen Li, Weiping Tu, Yuhong Yang, Xinmeng Xu, Yiqun Zhang, Yanzhen Ren |
| 2025 | ICASSP | Weighted Density for The Win: Accurate Subspace Density Clustering. | Maixuan Peng, Yuyang Wu, Yang Lu, Mengke Li, Yiqun Zhang, Yiu-Ming Cheung |
| 2025 | ICCV | PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation. | Chikai Shang, Mengke Li, Yiqun Zhang, Zhen Chen, Jinlin Wu, Fangqing Gu, Yang Lu, Yiu-ming Cheung |
| 2025 | ICLR | FIRING-Net: A filtered feature recycling network for speech enhancement. | Xinmeng Xu, Yiqun Zhang, Jizhen Li, Yuhong Yang, Yong Luo, Weiping Tu |
| 2025 | IJCAI | SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation. | Yuzhu Ji, Mingshan Sun, Jianyang Shi, Xiaoke Jiang, Yiqun Zhang, Haijun Zhang |
| 2025 | PRICAI | MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction. | Zexi Tan, Tao Xie, Binbin Sun, Xiang Zhang, Yiqun Zhang, Yiu-Ming Cheung |
| 2025 | WACV | HandCraft: Anatomically Correct Restoration of Malformed Hands in Diffusion Generated Images. | Zhenyue Qin, Yiqun Zhang, Yang Liu, Dylan Campbell |
| 2025 | VISIGRAPP | Exploring Extended Reality (XR) in Teaching AI: A Comparative Study of XR and Desktop Environments. | Miguel Alfonso Feijo-Garca, Yiqun Zhang, Yiyin Gu, Alejandra J. Magana, Bedrich Benes, Voicu Popescu |
| 2024 | ACL | STICKERCONV: Generating Multimodal Empathetic Responses from Scratch. | Yiqun Zhang, Fanheng Kong, Peidong Wang, Shuang Sun, Lingshuai Wang, Shi Feng, Daling Wang, Yifei Zhang, Kaisong Song |
| 2024 | ECAI | CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation. | Yuzhu Ji, Mingshan Sun, Yiqun Zhang, Haijun Zhang |
| 2024 | ECAI | Learning Order Forest for Qualitative-Attribute Data Clustering. | Mingjie Zhao, Sen Feng, Yiqun Zhang, Mengke Li, Yang Lu, Yiu-Ming Cheung |
| 2024 | EMNLP | HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy. | Yongkang Liu, Yiqun Zhang, Qian Li, Tong Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schtze |
| 2024 | ICASSP | Curricular Contrastive Regularization for Speech Enhancement with Self-Supervised Representations. | Xinmeng Xu, Chang Han, Yiqun Zhang, Weiping Tu, Yuhong Yang |
| 2024 | ICASSP | An Efficient and Interpre Table Speech Enhancement Network Via Deep Dictionary Learning. | Xinmeng Xu, Yiqun Zhang, Weiping Tu, Yuhong Yang |
| 2024 | ICASSP | Improving Acoustic Echo Cancellation by Exploring Speech and Echo Affinity with Multi-Head Attention. | Yiqun Zhang, Xinmeng Xu, Weiping Tu |
| 2024 | ICDCS | Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning. | Shenghong Cai, Yiqun Zhang, Xiaopeng Luo, Yiu-Ming Cheung, Hong Jia, Peng Liu |
| 2024 | ICPR | Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data. | Yunfan Zhang, Xiaopeng Luo, Qingsheng Chen, Rong Zou, Yiqun Zhang, Yiu-ming Cheung |
| 2024 | IJCNN | Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values. | Pengkai Wang, Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Yiu-ming Cheung |
| 2024 | KDD | QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering. | Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang, Yiu-ming Cheung |
| 2024 | VR | An XR Environment for AI Education: Design and First Implementation. | Yiyin Gu, Miguel Alfonso Feijo-Garca, Yiqun Zhang, Alejandra J. Magana, Bedrich Benes, Voicu Popescu |
| 2023 | CogSci | Lexical Entrainment in Bilingual Language Use. | Yongjia Song, Kathlyn Canales, Yuting Gu, Jiachen Jin, Jian Meng, Yiqun Zhang, Judith F. Kroll, Gregory Scontras |
| 2023 | ECAI | Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU. | Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Yuzhu Ji, Zhipeng Zhang, Jing Lin |
| 2023 | ICONIP | Leveraging Sound Local and Global Features for Language-Queried Target Sound Extraction. | Xinmeng Xu, Yiqun Zhang, Yuhong Yang, Weiping Tu |
| 2022 | DSAA | Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts. | Lang Zhao, Yiqun Zhang, Yuzhu Ji, An Zeng, Fangqing Gu, Xiaopeng Luo |
| 2022 | IJCAI | Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering. | Yiqun Zhang, Yiu-ming Cheung, An Zeng |
| 2020 | AAAI | An Ordinal Data Clustering Algorithm with Automated Distance Learning. | Yiqun Zhang, Yiu-ming Cheung |
| 2018 | ICNC | Grade Prediction of Student Academic Performance with Multiple Classification Models. | Xu Zhang, Ruojuan Xue, Bin Liu, Wenpeng Lu, Yiqun Zhang |
| 2018 | ISMIS | Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering. | Yiqun Zhang, Yiu-ming Cheung |
| 2017 | EDBT | Optimization of Percentage Cube Queries. | Yiqun Zhang, Carlos Ordonez, Javier Garca-Garca, Ladjel Bellatreche |
| 2016 | CCGRID | Big Data Analytics Integrating a Parallel Columnar DBMS and the R Language. | Yiqun Zhang, Carlos Ordonez, Wellington Cabrera |
| 2016 | IJCNN | Quality preserved data summarization for fast hierarchical clustering. | Yiqun Zhang, Yiu-ming Cheung, Yang Liu |
| 2014 | ICDM | Discretizing Numerical Attributes in Decision Tree for Big Data Analysis. | Yiqun Zhang, Yiu-ming Cheung |
| 2014 | KDD | The Gamma Operator for Big Data Summarization on an Array DBMS. | Carlos Ordonez, Yiqun Zhang, Wellington Cabrera |
| 1992 | ICPR | Projective duality and recovery of 3D straight lines from a monocular image sequence. | Yiqun Zhang, Bernard Dubuisson |