Haozhao Wang - RankMe

157 papers A* 48A 4B 3Misc 2Journal 92Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs. AAAI Yuxuan Liu, Wenchao Xu, Haozhao Wang, Zhiming He, Zhaofeng Shi, Chongyang Xu, Peichao Wang, Boyuan Zhang
2026	J	`jnl`	Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs. CoRR Yuxuan Liu, Wenchao Xu, Haozhao Wang, Zhiming He, Zhaofeng Shi, Chongyang Xu, Peichao Wang, Boyuan Zhang
2026	A*	`conf`	Data-Centric Sequential Recommendation with Relation-Augmented Generation. AAAI Yichen Li, Yichen Tan, Yijing Shan, Haozhao Wang, Rui Zhang, Imran Razzak, Ruixuan Li
2026	J	`jnl`	Deploying Foundation Model Powered Agent Services: A Survey. IEEE Commun. Surv. Tutorials Wenchao Xu, Jinyu Chen, Peirong Zheng, Xiaoquan Yi, Tianyi Tian, Wenhui Zhu, Quan Wan, Haozhao Wang, Yunfeng Fan, Qinliang Su, Xuemin Shen
2026	A*	`conf`	FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning. AAAI Yichen Li, Hang Su, Huifa Li, Haolin Yang, Xinlin Zhuang, Haochen Xue, Haozhao Wang, Imran Razzak
2026	J	`jnl`	FedCHG: Graph autoencoder enhanced federated learning for cross-Domain heterogeneous graph. Expert Syst. Appl. Haitao Wang, Jiyuan He, Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Hongwei Lu, Ruixuan Li
2026	J	`jnl`	FedEGL: Edge-assisted federated graph learning. Inf. Fusion Haitao Wang, Aojie Luo, Wenchao Xu, Haozhao Wang, Yichen Li, Yining Qi, Rui Zhang, Ruixuan Li
2026	J	`jnl`	HALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network. CoRR Peirong Zheng, Wenchao Xu, Haozhao Wang, Jinyu Chen, Xuemin Shen
2026	J	`jnl`	HHGDroid: Hybrid heterogeneous graph-based android malware detection via multi-evidence similarity fusion. Expert Syst. Appl. Junwei Tang, Xiaomei Tian, Tao Peng, Jianfeng Lu, Haozhao Wang, Ruixuan Li
2026	A*	`conf`	KE-FedRS: Tackling Data Sparsity in Federated Recommendation via Knowledge Enhancement. WWW Jiayu Bao, Hongjian Shi, Guanyu Zhang, Rui Zhou, Haozhao Wang, Yuan Liu
2026	J	`jnl`	Nonlinearity as Rank: Generative Low-Rank Adapter with Radial Basis Functions. CoRR Yihao Ouyang, Shiwei Li, Haozhao Wang, Xiandi Luo, Zhuoqi Hu, Yuetong Song, Qiyu Qin, Yichen Li, Ruixuan Li
2026	J	`jnl`	PrismWF: A Multi-Granularity Patch-Based Transformer for Robust Website Fingerprinting Attack. CoRR Yuhao Pan, Wenchao Xu, Fushuo Huo, Haozhao Wang, Xiucheng Wang, Nan Cheng
2026	A*	`conf`	Ripple Shapley: Data Influence Attribution in One Federated Training Run. AAAI Dewen Zeng, Wenlong Tian, Haozhao Wang, Jianfeng Lu, Weijun Xiao, Zhiyong Xu
2026	A*	`conf`	Self-Speculative Decoding for On-device MoE Acceleration. WWW Peirong Zheng, Wenchao Xu, Haozhao Wang
2026	J	`jnl`	UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration. ACM Trans. Inf. Syst. Longtao Xiao, Haozhao Wang, Cheng Wang, Linfei Ji, Yifan Wang, Jieming Zhu, Zhenhua Dong, Rui Zhang, Ruixuan Li
2026	A*	`conf`	Unbiased Rectification for Sequential Recommender Systems Under Fake Orders. AAAI Qiyu Qin, Yichen Li, Haozhao Wang, Cheng Wang, Rui Zhang, Ruixuan Li
2026	J	`jnl`	Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey. IEEE Commun. Surv. Tutorials Yichen Li, Haozhao Wang, Wenchao Xu, Tianzhe Xiao, Hong Liu, Minzhu Tu, Yuying Wang, Xin Yang, Rui Zhang, Shui Yu, Song Guo, Ruixuan Li
2026	J	`jnl`	pFedDHPO: A Differentiable Approach for Personalized Hyperparameter Optimization in Federated Learning. IEEE Trans. Cogn. Commun. Netw. Jinglong Shen, Nan Cheng, Wenchao Xu, Haozhao Wang, Wei Quan, Xuemin Shen
2026	A*	`conf`	pFedDKS: Detached Knowledge Sharing for Personalized Federated Learning. WWW Haozhao Wang, Wenchao Xu, Jingzhi Wang, Yunfeng Fan, Xiaoquan Yi, Rui Zhang
2025	J	`jnl`	A Systematic Survey on Federated Sequential Recommendation. CoRR Yichen Li, Qiyu Qin, Gaoyang Zhu, Wenchao Xu, Haozhao Wang, Yuhua Li, Rui Zhang, Ruixuan Li
2025	J	`jnl`	Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation. CoRR Yifan Wang, Weinan Gan, Longtao Xiao, Jieming Zhu, Heng Chang, Haozhao Wang, Rui Zhang, Zhenhua Dong, Ruiming Tang, Ruixuan Li
2025	A*	`conf`	Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. ICML Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li
2025	J	`jnl`	Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. CoRR Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li
2025	A*	`conf`	BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach. ICML Haozhao Wang, Shengyu Wang, Jiaming Li, Hao Ren, Xingshuo Han, Wenchao Xu, Shangwei Guo, Tianwei Zhang, Ruixuan Li
2025	J	`jnl`	Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction. J. Softw. Evol. Process. Yuying Wang, Yichen Li, Haozhao Wang, Lei Zhao, Xiaofang Zhang
2025	J	`jnl`	Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation. CoRR Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li
2025	A*	`conf`	Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics. ICML Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2025	J	`jnl`	Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics. CoRR Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2025	J	`jnl`	BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity. CoRR Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li
2025	A*	`conf`	Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization. ICLR Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li
2025	J	`jnl`	Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization. CoRR Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li
2025	J	`jnl`	Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges. CoRR Senyao Li, Haozhao Wang, Wenchao Xu, Rui Zhang, Song Guo, Jingling Yuan, Xian Zhong, Tianwei Zhang, Ruixuan Li
2025	A*	`conf`	DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information. IJCAI Yun Xin, Jianfeng Lu, Shuqin Cao, Gang Li, Haozhao Wang, Guanghui Wen
2025	J	`jnl`	DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information. CoRR Yun Xin, Jianfeng Lu, Shuqin Cao, Gang Li, Haozhao Wang, Guanghui Wen
2025	J	`jnl`	Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables. CoRR Xuzhao Geng, Haozhao Wang, Jun Wang, Wei Liu, Ruixuan Li
2025	J	`jnl`	Exploring Practical Gaps in Using Cross Entropy to Implement Maximum Mutual Information Criterion for Rationalization. Trans. Assoc. Comput. Linguistics Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Ruixuan Li
2025	J	`jnl`	Fast Multimodal Edge Inference via Selective Feature Distillation. IEEE Trans. Mob. Comput. Jinyu Chen, Wenchao Xu, Yunfeng Fan, Haozhao Wang, Quan Chen, Jing Li
2025	J	`jnl`	FedBiF: Communication-Efficient Federated Learning via Bits Freezing. CoRR Shiwei Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Jianbin Lin, Wenliang Zhong
2025	J	`jnl`	FedBiF: Communication-Efficient Federated Learning via Bits Freezing. IEEE Trans. Parallel Distributed Syst. Shiwei Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Jianbin Lin, Wenliang Zhong
2025	B	`conf`	FedRE: Robust and Effective Federated Learning with Privacy Preference. ICMR Tianzhe Xiao, Yichen Li, Yu Zhou, Yining Qi, Yi Liu, Wei Wang, Haozhao Wang, Yi Wang, Ruixuan Li
2025	J	`jnl`	FedRE: Robust and Effective Federated Learning with Privacy Preference. CoRR Tianzhe Xiao, Yichen Li, Yu Zhou, Yining Qi, Yi Liu, Wei Wang, Haozhao Wang, Yi Wang, Ruixuan Li
2025	A	`conf`	FedRF: Input-side Client Drift Mitigation for Federated Learning via Reusing Features. ICME Lingxiao Kong, Jiahui Jiang, Wenchao Xu, Haozhao Wang, Ruixuan Li
2025	—	`conf`	FedRNL: Federated Rationalization with Soft Parameter Sharing. ECML/PKDD (2) Lingxiao Kong, Jiahui Jiang, Haozhao Wang, Lei Wu, Ruixuan Li
2025	A*	`conf`	FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence. ICML Yichen Li, Yuying Wang, Haozhao Wang, Yining Qi, Tianzhe Xiao, Ruixuan Li
2025	B	`conf`	Federated Transformed Sampling Comparison for Multi-client Missing Value Imputation. IJCNN Duyu Chen, Haozhao Wang, Zhiwei Chen, Ruixuan Li
2025	J	`jnl`	Harmonizing Global and Local Class Imbalance for Federated Learning. IEEE Trans. Mob. Comput. Jialiang Zhu, Hao Zheng, Wenchao Xu, Haozhao Wang, Zhiming He, Yuxuan Liu, Shuang Wang, Qi Sun
2025	J	`jnl`	Is Model Editing Built on Sand? Revealing Its Illusory Success and Fragile Foundation. CoRR Wei Liu, Haomei Xu, Bingqing Liu, Zhiying Deng, Haozhao Wang, Jun Wang, Ruixuan Li, Yee Whye Teh, Wee Sun Lee
2025	J	`jnl`	Knowledge-Aware Parameter Coaching for Communication-Efficient Personalized Federated Learning in Mobile Edge Computing. IEEE Trans. Mob. Comput. Mingjian Zhi, Yuanguo Bi, Lin Cai, Wenchao Xu, Haozhao Wang, Tianao Xiang, Qiang He
2025	Misc	`conf`	Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment. ICASSP Jiaze Li, Haoran Xu, Shiding Zhu, Junwei He, Haozhao Wang
2025	J	`jnl`	Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment. CoRR Jiaze Li, Haoran Xu, Shiding Zhu, Junwei He, Haozhao Wang
2025	J	`jnl`	One Patch to Rule Them All: Transforming Static Patches into Dynamic Attacks in the Physical World. CoRR Xingshuo Han, Chen Ling, Shiyi Yao, Haozhao Wang, Hangcheng Liu, Yutong Wu, Shengmin Xu, Changhai Ou, Xinyi Huang, Tianwei Zhang
2025	A*	`conf`	Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion. WWW Yichen Li, Yijing Shan, Yi Liu, Haozhao Wang, Wei Wang, Yi Wang, Ruixuan Li
2025	A*	`conf`	Poster: Coda: Context-aware Acceleration for Distributed LLM Decoding in Edge. MobiCom Peirong Zheng, Wenchao Xu, Haozhao Wang, Jinyu Chen
2025	A*	`conf`	Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information. WWW Cheng Wang, Wenchao Xu, Haozhao Wang, Wei Liu, Ruixuan Li
2025	J	`jnl`	Progressive Collaborative and Semantic Knowledge Fusion for Generative Recommendation. CoRR Longtao Xiao, Haozhao Wang, Cheng Wang, Linfei Ji, Yifan Wang, Jieming Zhu, Zhenhua Dong, Rui Zhang, Ruixuan Li
2025	J	`jnl`	Re-Fed+: A Better Replay Strategy for Federated Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yichen Li, Haozhao Wang, Yining Qi, Wei Liu, Ruixuan Li
2025	J	`jnl`	Resource-Constrained Federated Continual Learning: What Does Matter? CoRR Yichen Li, Yuying Wang, Jiahua Dong, Haozhao Wang, Yining Qi, Rui Zhang, Ruixuan Li
2025	A*	`conf`	Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models. ICLR Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao
2025	A*	`conf`	The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning. ICML Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2025	J	`jnl`	The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning. CoRR Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2024	A	`conf`	Adversarial Attack for Explanation Robustness of Rationalization Models. ECAI Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu
2024	J	`jnl`	Adversarial Attack for Explanation Robustness of Rationalization Models. CoRR Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu
2024	J	`jnl`	BadSFL: Backdoor Attack against Scaffold Federated Learning. CoRR Xingshuo Han, Xuanye Zhang, Xiang Lan, Haozhao Wang, Shengmin Xu, Shen Ren, Jason Zeng, Ming Wu, Michael Heinrich, Tianwei Zhang
2024	J	`jnl`	Balanced Multi-modal Federated Learning via Cross-Modal Infiltration. CoRR Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Song Guo
2024	J	`jnl`	Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction. CoRR Yuying Wang, Yichen Li, Haozhao Wang, Lei Zhao, Xiaofang Zhang
2024	A*	`conf`	C CVPR Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Song Guo
2024	J	`jnl`	Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit. IEEE Trans. Mob. Comput. Duyu Chen, Wenchao Xu, Haozhao Wang, Yining Qi, Ruixuan Li, Pan Zhou, Song Guo
2024	J	`jnl`	Client-wise Modality Selection for Balanced Multi-modal Federated Learning. CoRR Yunfeng Fan, Wenchao Xu, Haozhao Wang, Penghui Ruan, Song Guo
2024	A*	`conf`	Cross-modal Representation Flattening for Multi-modal Domain Generalization. NeurIPS Yunfeng Fan, Wenchao Xu, Haozhao Wang, Song Guo
2024	A*	`conf`	Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. AAAI Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li
2024	J	`jnl`	Deploying Foundation Model Powered Agent Services: A Survey. CoRR Wenchao Xu, Jinyu Chen, Peirong Zheng, Xiaoquan Yi, Tianyi Tian, Wenhui Zhu, Quan Wan, Haozhao Wang, Yunfeng Fan, Qinliang Su, Xuemin Shen
2024	A*	`conf`	Detached and Interactive Multimodal Learning. ACM Multimedia Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junhong Liu, Song Guo
2024	J	`jnl`	Detached and Interactive Multimodal Learning. CoRR Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junhong Liu, Song Guo
2024	Misc	`conf`	Disentangle Estimation of Causal Effects from Cross-Silo Data. ICASSP Yuxuan Liu, Haozhao Wang, Shuang Wang, Zhiming He, Wenchao Xu, Jialiang Zhu, Fan Yang
2024	J	`jnl`	Disentangle Estimation of Causal Effects from Cross-Silo Data. CoRR Yuxuan Liu, Haozhao Wang, Shuang Wang, Zhiming He, Wenchao Xu, Jialiang Zhu, Fan Yang
2024	A*	`conf`	Dual Expert Distillation Network for Generalized Zero-Shot Learning. IJCAI Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
2024	J	`jnl`	Dual Expert Distillation Network for Generalized Zero-Shot Learning. CoRR Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
2024	A*	`conf`	Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. ICDE Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li
2024	J	`jnl`	Fast Packet Loss Inferring via Personalized Simulation-Reality Distillation. IEEE Trans. Mob. Comput. Wenchao Xu, Haodong Wan, Haozhao Wang, Nan Cheng, Quan Chen, Haibo Zhou, Song Guo
2024	A*	`conf`	FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. ICML Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2024	J	`jnl`	FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. CoRR Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2024	A*	`conf`	FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation. ICLR Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang
2024	A*	`conf`	FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. WWW Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang
2024	J	`jnl`	FedGIG: Graph Inversion from Gradient in Federated Learning. CoRR Tianzhe Xiao, Yichen Li, Yining Qi, Haozhao Wang, Ruixuan Li
2024	A*	`conf`	FedNLR: Federated Learning with Neuron-wise Learning Rates. KDD Haozhao Wang, Peirong Zheng, Xingshuo Han, Wenchao Xu, Ruixuan Li, Tianwei Zhang
2024	J	`jnl`	Hypernetwork-driven centralized contrastive learning for federated graph classification. World Wide Web (WWW) Jianian Zhu, Yichen Li, Haozhao Wang, Yining Qi, Ruixuan Li
2024	A*	`conf`	Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization. NeurIPS Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li
2024	J	`jnl`	Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization. CoRR Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li
2024	J	`jnl`	Joint Power and Coverage Control of Massive UAVs in Post-Disaster Emergency Networks: An Aggregative Game-Theoretic Learning Approach. IEEE Trans. Netw. Sci. Eng. Jing Wu, Qimei Chen, Hao Jiang, Haozhao Wang, Yulai Xie, Wenzheng Xu, Pan Zhou, Zichuan Xu, Lixing Chen, Beibei Li, Xiumin Wang, Dapeng Oliver Wu
2024	A*	`conf`	Knowledge-Aware Parameter Coaching for Personalized Federated Learning. AAAI Mingjian Zhi, Yuanguo Bi, Wenchao Xu, Haozhao Wang, Tianao Xiang
2024	J	`jnl`	Masked Random Noise for Communication Efficient Federaetd Learning. CoRR Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li
2024	A*	`conf`	Masked Random Noise for Communication-Efficient Federated Learning. ACM Multimedia Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li
2024	J	`jnl`	Mixed-Precision Embeddings for Large-Scale Recommendation Models. CoRR Shiwei Li, Zhuoqi Hu, Fuyuan Lyu, Xing Tang, Haozhao Wang, Shijie Xu, Weihong Luo, Yuhua Li, Xue Liu, Xiuqiang He, Ruixuan Li
2024	J	`jnl`	Mobile Collaborative Learning Over Opportunistic Internet of Vehicles. IEEE Trans. Mob. Comput. Wenchao Xu, Haozhao Wang, Zhaoyi Lu, Cunqing Hua, Nan Cheng, Song Guo
2024	A*	`conf`	Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement. AAAI Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan
2024	A*	`conf`	OTAS: An Elastic Transformer Serving System via Token Adaptation. INFOCOM Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng
2024	J	`jnl`	OTAS: An Elastic Transformer Serving System via Token Adaptation. CoRR Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng
2024	—	`conf`	Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection. ECCV (81) Yunfeng Fan, Wenchao Xu, Haozhao Wang, Fushuo Huo, Jinyu Chen, Song Guo
2024	—	`conf`	Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching. ECCV (46) Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li
2024	J	`jnl`	Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching. CoRR Yichen Li, Wenchao Xu, Haozhao Wang, Ruixuan Li, Yining Qi, Jingcai Guo
2024	—	`conf`	Physical Layer Overshadowing Attack on Semantic Communication System. ICC Zhaoyi Lu, Wenchao Xu, Xin Xie, Ming Tu, Haozhao Wang, Cunqing Hua
2024	A*	`conf`	ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. AAAI Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu
2024	J	`jnl`	Rehearsal-Free Continual Federated Learning with Synergistic Regularization. CoRR Yichen Li, Yuying Wang, Tianzhe Xiao, Haozhao Wang, Yining Qi, Ruixuan Li
2024	J	`jnl`	SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning. IEEE Trans. Parallel Distributed Syst. Yichen Li, Wenchao Xu, Yining Qi, Haozhao Wang, Ruixuan Li, Song Guo
2024	J	`jnl`	Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models. CoRR Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao
2024	A*	`conf`	Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. ICDE Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
2024	A*	`conf`	Towards Efficient Replay in Federated Incremental Learning. CVPR Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang
2024	J	`jnl`	Towards Efficient Replay in Federated Incremental Learning. CoRR Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang
2024	J	`jnl`	Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. ACM Trans. Multim. Comput. Commun. Appl. Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng
2024	J	`jnl`	Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey. CoRR Yichen Li, Haozhao Wang, Wenchao Xu, Tianzhe Xiao, Hong Liu, Minzhu Tu, Yuying Wang, Xin Yang, Rui Zhang, Shui Yu, Song Guo, Ruixuan Li
2024	A*	`conf`	VisionGuard: Secure and Robust Visual Perception of Autonomous Vehicles in Practice. CCS Xingshuo Han, Haozhao Wang, Kangqiao Zhao, Gelei Deng, Yuan Xu, Hangcheng Liu, Han Qiu, Tianwei Zhang
2023	A*	`conf`	AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation. INFOCOM Haozhao Wang, Wenchao Xu, Yunfeng Fan, Ruixuan Li, Pan Zhou
2023	A*	`conf`	Aligning Language Models with Human Preferences via a Bayesian Approach. NeurIPS Jiashuo Wang, Haozhao Wang, Shichao Sun, Wenjie Li
2023	J	`jnl`	Aligning Language Models with Human Preferences via a Bayesian Approach. CoRR Jiashuo Wang, Haozhao Wang, Shichao Sun, Wenjie Li
2023	A*	`conf`	D-Separation for Causal Self-Explanation. NeurIPS Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu
2023	J	`jnl`	D-Separation for Causal Self-Explanation. CoRR Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu
2023	A*	`conf`	DaFKD: Domain-aware Federated Knowledge Distillation. CVPR Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng
2023	—	`conf`	Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction. ECML/PKDD (1) Jiaming Li, Lang Lang, Zhenlong Zhu, Haozhao Wang, Ruixuan Li, Wenchao Xu
2023	A*	`conf`	Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. KDD Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou
2023	J	`jnl`	Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. CoRR Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou
2023	J	`jnl`	Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. CoRR Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li
2023	J	`jnl`	DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning. CoRR Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Junxiao Wang, Song Guo
2023	J	`jnl`	Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. CoRR Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li
2023	J	`jnl`	Few-Shot Temporal Sentence Grounding via Memory-Guided Semantic Learning. IEEE Trans. Circuits Syst. Video Technol. Daizong Liu, Pan Zhou, Zichuan Xu, Haozhao Wang, Ruixuan Li
2023	J	`jnl`	From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. IEEE Trans. Parallel Distributed Syst. Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu
2023	—	`conf`	MGR: Multi-generator Based Rationalization. ACL (1) Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu
2023	J	`jnl`	MGR: Multi-generator based Rationalization. CoRR Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu
2023	J	`jnl`	Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement. CoRR Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan, Song Guo
2023	A*	`conf`	PMR: Prototypical Modal Rebalance for Multimodal Learning. CVPR Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo
2023	J	`jnl`	Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. CoRR Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng
2023	A	`conf`	XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection. ECAI Juan Zhao, Yuankai Zhang, Ruixuan Li, Yuhua Li, Haozhao Wang, Xiaoquan Yi, Zhiying Deng
2022	J	`jnl`	A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. IEEE Internet Things J. Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li
2022	J	`jnl`	Adaptive Vertical Federated Learning on Unbalanced Features. IEEE Trans. Parallel Distributed Syst. Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Haozhao Wang, Qifeng Liu, Albert Y. Zomaya
2022	J	`jnl`	Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge. ACM Comput. Surv. Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo
2022	J	`jnl`	Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment. IEEE Trans. Parallel Distributed Syst. Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu
2022	A*	`conf`	FR: Folded Rationalization with a Unified Encoder. NeurIPS Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang
2022	J	`jnl`	FR: Folded Rationalization with a Unified Encoder. CoRR Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang
2022	J	`jnl`	FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers. CoRR Jinyu Chen, Wenchao Xu, Song Guo, Junxiao Wang, Jie Zhang, Haozhao Wang
2022	J	`jnl`	Gradient Scheduling With Global Momentum for Asynchronous Federated Learning in Edge Environment. IEEE Internet Things J. Haozhao Wang, Ruixuan Li, Chengjie Li, Pan Zhou, Yuhua Li, Wenchao Xu, Song Guo
2022	J	`jnl`	Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers. IEEE Trans. Computers Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Yutong Yang, Zhihao Qu, Yi Wang
2022	J	`jnl`	Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning. IEEE Trans. Emerg. Top. Comput. Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye
2022	J	`jnl`	PMR: Prototypical Modal Rebalance for Multimodal Learning. CoRR Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo
2022	J	`jnl`	Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks. IEEE Trans. Mob. Comput. Zhihao Qu, Song Guo, Haozhao Wang, Baoliu Ye, Yi Wang, Albert Y. Zomaya, Bin Tang
2022	J	`jnl`	ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning. CoRR Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu
2022	J	`jnl`	Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression. CoRR Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
2022	A*	`conf`	Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. DAC Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
2021	A*	`conf`	DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction. SIGIR Jing Li, Dafei Yin, Haozhao Wang, Yonggang Wang
2021	J	`jnl`	From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. CoRR Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu
2021	—	`conf`	HotFed: Hot Start through Self-Supervised Learning in Federated Learning. HPCC/DSS/SmartCity/DependSys Juan Zhao, Ruixuan Li, Haozhao Wang, Zijun Xu
2021	J	`jnl`	LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training. IEEE J. Sel. Areas Commun. Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, Weihua Zhuang
2021	A*	`conf`	Parameterized Knowledge Transfer for Personalized Federated Learning. NeurIPS Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu
2021	J	`jnl`	Parameterized Knowledge Transfer for Personalized Federated Learning. CoRR Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu
2020	J	`jnl`	Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning. CoRR Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye
2019	A	`conf`	Heterogeneity-aware Gradient Coding for Straggler Tolerance. ICDCS Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Chengjie Li
2019	J	`jnl`	Heterogeneity-aware Gradient Coding for Straggler Tolerance. CoRR Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Chengjie Li
2019	B	`conf`	OSP: Overlapping Computation and Communication in Parameter Server for Fast Machine Learning. ICPP Haozhao Wang, Song Guo, Ruixuan Li
2018	—	`conf`	Stock Price Prediction Using Time Convolution Long Short-Term Memory Network. KSEM (1) Xukuan Zhan, Yuhua Li, Ruixuan Li, Xiwu Gu, Olivier Habimana, Haozhao Wang