Stock Price Prediction Using Time Convolution Long Short-Term Memory Network. - Xukuan Zhan; Yuhua Li 003; Ruixuan Li 001; Xiwu Gu; Olivier Habimana; Haozhao Wang (KSEM (1), 2018)

Heterogeneity-aware Gradient Coding for Straggler Tolerance. - Haozhao Wang; Song Guo 001; Bin Tang 002; Ruixuan Li 001; Chengjie Li (ICDCS, 2019)

OSP: Overlapping Computation and Communication in Parameter Server for Fast Machine Learning. - Haozhao Wang; Song Guo 001; Ruixuan Li 001 (ICPP, 2019)

Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning. - Haozhao Wang; Zhihao Qu; Song Guo 001; Xin Gao; Ruixuan Li 001; Baoliu Ye (CoRR, 2020)

HotFed: Hot Start through Self-Supervised Learning in Federated Learning. - Juan Zhao 010; Ruixuan Li 001; Haozhao Wang; Zijun Xu (HPCC/DSS/SmartCity/DependSys, 2021)

Parameterized Knowledge Transfer for Personalized Federated Learning. - Jie Zhang 076; Song Guo 001; Xiaosong Ma; Haozhao Wang; Wenchao Xu 001; Feijie Wu (NeurIPS, 2021)

DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction. - Jing Li; Dafei Yin; Haozhao Wang; Yonggang Wang (SIGIR, 2021)

LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training. - Haozhao Wang; Zhihao Qu; Song Guo 001; Ningqi Wang; Ruixuan Li 001; Weihua Zhuang (IEEE J. Sel. Areas Commun., 2021)

Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. - Feijie Wu; Shiqi He; Song Guo 001; Zhihao Qu; Haozhao Wang; Weihua Zhuang; Jie Zhang 076 (DAC, 2022)

FR: Folded Rationalization with a Unified Encoder. - Wei Liu 144; Haozhao Wang; Jun Wang 018; Ruixuan Li 001; Chao Yue; Yuankai Zhang 002 (NeurIPS, 2022)

FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers. - Jinyu Chen; Wenchao Xu 001; Song Guo 001; Junxiao Wang; Jie Zhang 076; Haozhao Wang (CoRR, 2022)

ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning. - Fushuo Huo; Wenchao Xu 001; Song Guo 001; Jingcai Guo; Haozhao Wang; Ziming Liu (CoRR, 2022)

Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge. - Jie Zhang 076; Zhihao Qu; Chenxi Chen; Haozhao Wang; Yufeng Zhan; Baoliu Ye; Song Guo 001 (ACM Comput. Surv., 2022)

Gradient Scheduling With Global Momentum for Asynchronous Federated Learning in Edge Environment. - Haozhao Wang; Ruixuan Li 001; Chengjie Li; Pan Zhou 001; Yuhua Li 003; Wenchao Xu 001; Song Guo 001 (IEEE Internet Things J., 2022)

A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. - Haozhao Wang; Zhihao Qu; Qihua Zhou; Haobo Zhang 002; Boyuan Luo; Wenchao Xu 001; Song Guo 001; Ruixuan Li 001 (IEEE Internet Things J., 2022)

Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers. - Haozhao Wang; Song Guo 001; Bin Tang 002; Ruixuan Li 001; Yutong Yang; Zhihao Qu; Yi Wang 004 (IEEE Trans. Computers, 2022)

Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning. - Haozhao Wang; Zhihao Qu; Song Guo 001; Xin Gao; Ruixuan Li 001; Baoliu Ye (IEEE Trans. Emerg. Top. Comput., 2022)

Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks. - Zhihao Qu; Song Guo 001; Haozhao Wang; Baoliu Ye; Yi Wang 004; Albert Y. Zomaya; Bin Tang 002 (IEEE Trans. Mob. Comput., 2022)

Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment. - Haozhao Wang; Song Guo 001; Zhihao Qu; Ruixuan Li 001; Ziming Liu (IEEE Trans. Parallel Distributed Syst., 2022)

Adaptive Vertical Federated Learning on Unbalanced Features. - Jie Zhang 076; Song Guo 001; Zhihao Qu; Deze Zeng; Haozhao Wang; Qifeng Liu; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2022)

MGR: Multi-generator Based Rationalization. - Wei Liu 144; Haozhao Wang; Jun Wang 018; Ruixuan Li 001; Xinyang Li; Yuankai Zhang 002; Yang Qiu (ACL (1), 2023)

PMR: Prototypical Modal Rebalance for Multimodal Learning. - Yunfeng Fan; Wenchao Xu 001; Haozhao Wang; Junxiao Wang; Song Guo 001 (CVPR, 2023)

DaFKD: Domain-aware Federated Knowledge Distillation. - Haozhao Wang; Yichen Li 006; Wenchao Xu 001; Ruixuan Li 001; Yufeng Zhan; Zhigang Zeng (CVPR, 2023)

XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection. - Juan Zhao 010; Yuankai Zhang 002; Ruixuan Li 001; Yuhua Li 003; Haozhao Wang; Xiaoquan Yi; Zhiying Deng (ECAI, 2023)

AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation. - Haozhao Wang; Wenchao Xu 001; Yunfeng Fan; Ruixuan Li 001; Pan Zhou 001 (INFOCOM, 2023)

Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. - Wei Liu 144; Jun Wang 018; Haozhao Wang; Ruixuan Li 001; Yang Qiu; Yuankai Zhang 002; Jie Han; Yixiong Zou (KDD, 2023)

D-Separation for Causal Self-Explanation. - Wei Liu 144; Jun Wang 018; Haozhao Wang; Ruixuan Li 001; Zhiying Deng; Yuankai Zhang 002; Yang Qiu (NeurIPS, 2023)

Aligning Language Models with Human Preferences via a Bayesian Approach. - Jiashuo Wang; Haozhao Wang; Shichao Sun; Wenjie Li 002 (NeurIPS, 2023)

Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction. - Jiaming Li; Lang Lang; Zhenlong Zhu; Haozhao Wang; Ruixuan Li 001; Wenchao Xu 001 (ECML/PKDD (1), 2023)

DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning. - Yunfeng Fan; Wenchao Xu 001; Haozhao Wang; Jiaqi Zhu 002; Junxiao Wang; Song Guo 001 (CoRR, 2023)

Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement. - Fushuo Huo; Wenchao Xu 001; Jingcai Guo; Haozhao Wang; Yunfeng Fan; Song Guo 001 (CoRR, 2023)

Few-Shot Temporal Sentence Grounding via Memory-Guided Semantic Learning. - Daizong Liu; Pan Zhou 001; Zichuan Xu; Haozhao Wang; Ruixuan Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. - Feijie Wu; Song Guo 001; Haozhao Wang; Haobo Zhang 002; Zhihao Qu; Jie Zhang 076; Ziming Liu (IEEE Trans. Parallel Distributed Syst., 2023)

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. - Jie Han; Yixiong Zou; Haozhao Wang; Jun Wang 018; Wei Liu 144; Yao Wu; Tao Zhang; Ruixuan Li 001 (AAAI, 2024)

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. - Fushuo Huo; Wenchao Xu 001; Song Guo 001; Jingcai Guo; Haozhao Wang; Ziming Liu; Xiaocheng Lu (AAAI, 2024)

Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement. - Fushuo Huo; Wenchao Xu 001; Jingcai Guo; Haozhao Wang; Yunfeng Fan (AAAI, 2024)

Knowledge-Aware Parameter Coaching for Personalized Federated Learning. - Mingjian Zhi; Yuanguo Bi; Wenchao Xu 001; Haozhao Wang; Tianao Xiang (AAAI, 2024)

VisionGuard: Secure and Robust Visual Perception of Autonomous Vehicles in Practice. - Xingshuo Han; Haozhao Wang; Kangqiao Zhao; Gelei Deng; Yuan Xu; Hangcheng Liu; Han Qiu 001; Tianwei Zhang 004 (CCS, 2024)

Towards Efficient Replay in Federated Incremental Learning. - Yichen Li 006; Qunwei Li; Haozhao Wang; Ruixuan Li 001; Wenliang Zhong; Guannan Zhang (CVPR, 2024)

C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation. - Fushuo Huo; Wenchao Xu 001; Jingcai Guo; Haozhao Wang; Song Guo 001 (CVPR, 2024)

Adversarial Attack for Explanation Robustness of Rationalization Models. - Yuankai Zhang 002; Lingxiao Kong; Haozhao Wang; Ruixuan Li 001; Jun Wang 018; Yuhua Li 003; Wei Liu 144 (ECAI, 2024)

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection. - Yunfeng Fan; Wenchao Xu 001; Haozhao Wang; Fushuo Huo; Jinyu Chen; Song Guo 001 (ECCV (81), 2024)

Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching. - Yichen Li 006; Wenchao Xu 001; Haozhao Wang; Yining Qi; Jingcai Guo; Ruixuan Li 001 (ECCV (46), 2024)

Disentangle Estimation of Causal Effects from Cross-Silo Data. - Yuxuan Liu 017; Haozhao Wang; Shuang Wang 002; Zhiming He; Wenchao Xu 001; Jialiang Zhu; Fan Yang (ICASSP, 2024)

Physical Layer Overshadowing Attack on Semantic Communication System. - Zhaoyi Lu; Wenchao Xu 001; Xin Xie; Ming Tu; Haozhao Wang; Cunqing Hua (ICC, 2024)

Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. - Wei Liu 144; Haozhao Wang; Jun Wang 018; Zhiying Deng; Yuankai Zhang 002; Cheng Wang 025; Ruixuan Li 001 (ICDE, 2024)

Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. - Meng Zhang 045; Qinghao Hu 004; Cheng Wan 005; Haozhao Wang; Peng Sun 006; Yonggang Wen 001; Tianwei Zhang 001 (ICDE, 2024)

FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation. - Haozhao Wang; Haoran Xu; Yichen Li 006; Yuan Xu; Ruixuan Li 001; Tianwei Zhang 004 (ICLR, 2024)

FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. - Shiwei Li 002; Wenchao Xu 001; Haozhao Wang; Xing Tang 007; Yining Qi; Shijie Xu; Weihong Luo; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (ICML, 2024)

Dual Expert Distillation Network for Generalized Zero-Shot Learning. - Zhijie Rao; Jingcai Guo; Xiaocheng Lu; Jingming Liang; Jie Zhang 076; Haozhao Wang; Kang Wei; Xiaofeng Cao (IJCAI, 2024)

OTAS: An Elastic Transformer Serving System via Token Adaptation. - Jinyu Chen; Wenchao Xu 001; Zicong Hong; Song Guo 001; Haozhao Wang; Jie Zhang 076; Deze Zeng (INFOCOM, 2024)

FedNLR: Federated Learning with Neuron-wise Learning Rates. - Haozhao Wang; Peirong Zheng; Xingshuo Han; Wenchao Xu 001; Ruixuan Li 001; Tianwei Zhang 004 (KDD, 2024)

Detached and Interactive Multimodal Learning. - Yunfeng Fan; Wenchao Xu 001; Haozhao Wang; Junhong Liu; Song Guo 001 (ACM Multimedia, 2024)

Masked Random Noise for Communication-Efficient Federated Learning. - Shiwei Li 002; Yingyi Cheng; Haozhao Wang; Xing Tang 007; Shijie Xu; Weihong Luo; Yuhua Li 003; Dugang Liu; Xiuqiang He 001; Ruixuan Li 001 (ACM Multimedia, 2024)

Cross-modal Representation Flattening for Multi-modal Domain Generalization. - Yunfeng Fan; Wenchao Xu 001; Haozhao Wang; Song Guo 001 (NeurIPS, 2024)

Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization. - Wei Liu 144; Zhiying Deng; Zhongyu Niu; Jun Wang 018; Haozhao Wang; YuanKai Zhang; Ruixuan Li 001 (NeurIPS, 2024)

FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. - Haozhao Wang; Yabo Jia; Meng Zhang 045; Qinghao Hu 004; Hao Ren 001; Peng Sun 006; Yonggang Wen 001; Tianwei Zhang 004 (WWW, 2024)

Client-wise Modality Selection for Balanced Multi-modal Federated Learning. - Yunfeng Fan; Wenchao Xu 001; Haozhao Wang; Penghui Ruan; Song Guo 001 (CoRR, 2024)

Balanced Multi-modal Federated Learning via Cross-Modal Infiltration. - Yunfeng Fan; Wenchao Xu 001; Haozhao Wang; Jiaqi Zhu 002; Song Guo 001 (CoRR, 2024)

Masked Random Noise for Communication Efficient Federaetd Learning. - Shiwei Li 002; Yingyi Cheng; Haozhao Wang; Xing Tang 007; Shijie Xu; Weihong Luo; Yuhua Li 003; Dugang Liu; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2024)

Mixed-Precision Embeddings for Large-Scale Recommendation Models. - Shiwei Li 002; Zhuoqi Hu; Fuyuan Lyu; Xing Tang 007; Haozhao Wang; Shijie Xu; Weihong Luo; Yuhua Li 003; Xue Liu 001; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2024)

BadSFL: Backdoor Attack against Scaffold Federated Learning. - Xingshuo Han; Xuanye Zhang; Xiang Lan; Haozhao Wang; Shengmin Xu; Shen Ren; Jason Zeng; Ming Wu; Michael Heinrich; Tianwei Zhang 004 (CoRR, 2024)

Deploying Foundation Model Powered Agent Services: A Survey. - Wenchao Xu 001; Jinyu Chen; Peirong Zheng; Xiaoquan Yi; Tianyi Tian; Wenhui Zhu; Quan Wan; Haozhao Wang; Yunfeng Fan; Qinliang Su; Xuemin Shen (CoRR, 2024)

Rehearsal-Free Continual Federated Learning with Synergistic Regularization. - Yichen Li 006; Yuying Wang; Tianzhe Xiao; Haozhao Wang; Yining Qi; Ruixuan Li 001 (CoRR, 2024)

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey. - Yichen Li 006; Haozhao Wang; Wenchao Xu 001; Tianzhe Xiao; Hong Liu; Minzhu Tu; Yuying Wang; Xin Yang; Rui Zhang 003; Shui Yu 001; Song Guo 001; Ruixuan Li 001 (CoRR, 2024)

FedGIG: Graph Inversion from Gradient in Federated Learning. - Tianzhe Xiao; Yichen Li 006; Yining Qi; Haozhao Wang; Ruixuan Li 001 (CoRR, 2024)

Joint Power and Coverage Control of Massive UAVs in Post-Disaster Emergency Networks: An Aggregative Game-Theoretic Learning Approach. - Jing Wu 016; Qimei Chen; Hao Jiang 010; Haozhao Wang; Yulai Xie; Wenzheng Xu; Pan Zhou 001; Zichuan Xu; Lixing Chen; Beibei Li 002; Xiumin Wang; Dapeng Oliver Wu (IEEE Trans. Netw. Sci. Eng., 2024)

Mobile Collaborative Learning Over Opportunistic Internet of Vehicles. - Wenchao Xu 001; Haozhao Wang; Zhaoyi Lu; Cunqing Hua; Nan Cheng; Song Guo 001 (IEEE Trans. Mob. Comput., 2024)

Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. - Daizong Liu; Xiaoye Qu; Jianfeng Dong; Pan Zhou 001; Zichuan Xu; Haozhao Wang; Xing Di; Weining Lu; Yu Cheng 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Fast Packet Loss Inferring via Personalized Simulation-Reality Distillation. - Wenchao Xu 001; Haodong Wan; Haozhao Wang; Nan Cheng; Quan Chen 003; Haibo Zhou; Song Guo 001 (IEEE Trans. Mob. Comput., 2024)

Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit. - Duyu Chen; Wenchao Xu 001; Haozhao Wang; Yining Qi; Ruixuan Li 001; Pan Zhou 001; Song Guo 001 (IEEE Trans. Mob. Comput., 2024)

Hypernetwork-driven centralized contrastive learning for federated graph classification. - Jianian Zhu; Yichen Li 006; Haozhao Wang; Yining Qi; Ruixuan Li 001 (World Wide Web (WWW), 2024)

SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning. - Yichen Li 006; Wenchao Xu 001; Yining Qi; Haozhao Wang; Ruixuan Li 001; Song Guo 001 (IEEE Trans. Parallel Distributed Syst., 2024)

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment. - Jiaze Li; Haoran Xu; Shiding Zhu; Junwei He; Haozhao Wang (ICASSP, 2025)

Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models. - Fushuo Huo; Wenchao Xu 001; Zhong Zhang; Haozhao Wang; Zhicheng Chen; Peilin Zhao (ICLR, 2025)

Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization. - Wei Liu; Zhiying Deng; Zhongyu Niu; Jun Wang; Haozhao Wang; Zhigang Zeng; Ruixuan Li 001 (ICLR, 2025)

FedRE: Robust and Effective Federated Learning with Privacy Preference. - Tianzhe Xiao; Yichen Li 006; Yu Zhou; Yining Qi; Yi Liu 087; Wei Wang 395; Haozhao Wang; Yi Wang 004; Ruixuan Li 001 (ICMR, 2025)

Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion. - Yichen Li 006; Yijing Shan; Yi Liu 087; Haozhao Wang; Wei Wang 395; Yi Wang 004; Ruixuan Li 001 (WWW, 2025)

Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information. - Cheng Wang 025; Wenchao Xu 001; Haozhao Wang; Wei Liu 144; Ruixuan Li 001 (WWW, 2025)

Exploring Practical Gaps in Using Cross Entropy to Implement Maximum Mutual Information Criterion for Rationalization. - Wei Liu 144; Zhiying Deng; Zhongyu Niu; Jun Wang 018; Haozhao Wang; Ruixuan Li 001 (Trans. Assoc. Comput. Linguistics, 2025)

Resource-Constrained Federated Continual Learning: What Does Matter? - Yichen Li 006; Yuying Wang; Jiahua Dong; Haozhao Wang; Yining Qi; Rui Zhang 003; Ruixuan Li 001 (CoRR, 2025)

Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction. - Yuying Wang; Yichen Li 006; Haozhao Wang; Lei Zhao 001; Xiaofang Zhang (J. Softw. Evol. Process., 2025)

Knowledge-Aware Parameter Coaching for Communication-Efficient Personalized Federated Learning in Mobile Edge Computing. - Mingjian Zhi; Yuanguo Bi; Lin Cai 001; Wenchao Xu 001; Haozhao Wang; Tianao Xiang; Qiang He 002 (IEEE Trans. Mob. Comput., 2025)

Progressive Collaborative and Semantic Knowledge Fusion for Generative Recommendation. - Longtao Xiao; Haozhao Wang; Cheng Wang 025; Linfei Ji; Yifan Wang; Jieming Zhu; Zhenhua Dong; Rui Zhang 003; Ruixuan Li 001 (CoRR, 2025)

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables. - Xuzhao Geng; Haozhao Wang; Jun Wang 018; Wei Liu 144; Ruixuan Li 001 (CoRR, 2025)

Harmonizing Global and Local Class Imbalance for Federated Learning. - Jialiang Zhu; Hao Zheng; Wenchao Xu 001; Haozhao Wang; Zhiming He; Yuxuan Liu 017; Shuang Wang 002; Qi Sun (IEEE Trans. Mob. Comput., 2025)

A Systematic Survey on Federated Sequential Recommendation. - Yichen Li 006; Qiyu Qin; Gaoyang Zhu; Wenchao Xu 001; Haozhao Wang; Yuhua Li 003; Rui Zhang 003; Ruixuan Li 001 (CoRR, 2025)

Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. - Wei Liu 144; Zhongyu Niu; Lang Gao; Zhiying Deng; Jun Wang 018; Haozhao Wang; Ruixuan Li 001 (CoRR, 2025)

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information. - Yun Xin; Jianfeng Lu 002; Shuqin Cao; Gang Li 028; Haozhao Wang; Guanghui Wen (CoRR, 2025)

The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning. - Shiwei Li 002; Xiandi Luo; Haozhao Wang; Xing Tang 007; Shijie Xu; Weihong Luo; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2025)

Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics. - Shiwei Li 002; Xiandi Luo; Xing Tang 007; Haozhao Wang; Hao Chen; Weihong Luo; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2025)

One Patch to Rule Them All: Transforming Static Patches into Dynamic Attacks in the Physical World. - Xingshuo Han; Chen Ling; Shiyi Yao; Haozhao Wang; Hangcheng Liu; Yutong Wu 009; Shengmin Xu; Changhai Ou; Xinyi Huang 001; Tianwei Zhang 004 (CoRR, 2025)

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation. - Yifan Wang; Weinan Gan; Longtao Xiao; Jieming Zhu; Heng Chang; Haozhao Wang; Rui Zhang 003; Zhenhua Dong; Ruiming Tang; Ruixuan Li 001 (CoRR, 2025)

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges. - Senyao Li; Haozhao Wang; Wenchao Xu 001; Rui Zhang 003; Song Guo 001; Jingling Yuan; Xian Zhong; Tianwei Zhang 004; Ruixuan Li 001 (CoRR, 2025)

Re-Fed+: A Better Replay Strategy for Federated Incremental Learning. - Yichen Li 006; Haozhao Wang; Yining Qi; Wei Liu 144; Ruixuan Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity. - Shiwei Li 002; Xiandi Luo; Haozhao Wang; Xing Tang 007; Ziqiang Cui; Dugang Liu; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2025)