Lixu Wang - RankMe

46 papers A* 13Misc 1Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AppellateGen: A Benchmark for Appellate Legal Judgment Generation. CoRR Hongkun Yang, Lionel Z. Wang, Wei Fan, Yiran Hu, Lixu Wang, Chenyu Liu, Shenghong Fu, Haoyang Li, Xin Xu, Jiexin Zheng, Wei Dong
2026	J	`jnl`	DP-MGTD: Privacy-Preserving Machine-Generated Text Detection via Adaptive Differentially Private Entity Sanitization. CoRR Lionel Z. Wang, Yusheng Zhao, Jiabin Luo, Xinfeng Li, Lixu Wang, Yinan Peng, Haoyang Li, Xiaofeng Wang, Wei Dong
2026	J	`jnl`	Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-Play Neural Network Toolbox Enabling Edge Deployment. IEEE Trans. Mob. Comput. Jiaqi Wu, Shihao Zhang, Simin Chen, Lixu Wang, Zehua Wang, Wei Chen, Fangyuan He, Zijian Tian, F. Richard Yu, Victor C. M. Leung
2026	J	`jnl`	Exploring Federated Unlearning: Review, Comparison, and Insights. IEEE Netw. Yang Zhao, Jiaxi Yang, Yiling Tao, Lixu Wang, Xiaoxiao Li, Dusit Niyato, H. Vincent Poor
2026	J	`jnl`	How Implicit Bias Accumulates and Propagates in LLM Long-term Memory. CoRR Yiming Ma, Lixu Wang, Lionel Z. Wang, Hongkun Yang, Haoming Sun, Xin Xu, JiaQi Wu, Bin Chen, Wei Dong
2026	J	`jnl`	Incorporating New Knowledge into Federated Learning: Advances, Insights, and Future Directions. Trans. Mach. Learn. Res. Lixu Wang, Yinggang Sun, Yang Zhao, JiaQi Wu, Jiahua Dong, Ating Yin, Qinbin Li, Qingqing Ye, Dusit Niyato, Tianwei Zhang, Kwok-Yan Lam, Haining Yu, Haibo Hu, Wei Dong
2025	J	`jnl`	A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks. CoRR JiaQi Wu, Jing Liu, Yang Liu, Lixu Wang, Zehua Wang, Wei Chen, Zijian Tian, Richard Yu, Victor C. M. Leung
2025	A*	`conf`	Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems. ICLR Ruochen Jiao, Shaoyuan Xie, Justin Yue, Takami Sato, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu
2025	J	`jnl`	FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning. CoRR Yuan Yao, Lixu Wang, JiaQi Wu, Jin Song, Simin Chen, Zehua Wang, Zijian Tian, Wei Chen, Huixia Li, Xiaoxiao Li
2025	A*	`conf`	On Large Language Model Continual Unlearning. ICLR Chongyang Gao, Lixu Wang, Kaize Ding, Chenkai Weng, Xiao Wang, Qi Zhu
2025	J	`jnl`	Phase-driven Generalizable Representation Learning for Nonstationary Time Series Classification. Trans. Mach. Learn. Res. Payal Mohapatra, Lixu Wang, Qi Zhu
2025	J	`jnl`	Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis. CoRR Dong Yang, Yiyi Cai, Yuki Saito, Lixu Wang, Hiroshi Saruwatari
2025	A*	`conf`	Split Adaptation for Pre-trained Vision Transformers. CVPR Lixu Wang, Bingqi Shang, Yi Li, Payal Mohapatra, Wei Dong, Xiao Wang, Qi Zhu
2025	J	`jnl`	Split Adaptation for Pre-trained Vision Transformers. CoRR Lixu Wang, Bingqi Shang, Yi Li, Payal Mohapatra, Wei Dong, Xiao Wang, Qi Zhu
2025	A*	`conf`	The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework. ACM Multimedia Feiran Liu, Yuzhe Zhang, Xinyi Huang, Yinan Peng, Xinfeng Li, Lixu Wang, Yutong Shen, Ranjie Duan, Simeng Qin, Xiaojun Jia, Qingsong Wen, Wei Dong
2025	J	`jnl`	The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework. CoRR Feiran Liu, Yuzhe Zhang, Xinyi Huang, Yinan Peng, Xinfeng Li, Lixu Wang, Yutong Shen, Ranjie Duan, Simeng Qin, Xiaojun Jia, Qingsong Wen, Wei Dong
2025	J	`jnl`	The Man Behind the Sound: Demystifying Audio Private Attribute Profiling via Multimodal Large Language Model Agents. CoRR Lixu Wang, Kaixiang Yao, Xinfeng Li, Dong Yang, Haoyang Li, Xiaofeng Wang, Wei Dong
2025	J	`jnl`	Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning. CoRR Weitao Feng, Lixu Wang, Tianyi Wei, Jie Zhang, Chongyang Gao, Sinong Zhan, Peizhuo Lv, Wei Dong
2024	Misc	`conf`	DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection. ICASSP Lixu Wang, Shichao Xu, Xinyu Du, Qi Zhu
2024	J	`jnl`	DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection. CoRR Lixu Wang, Shichao Xu, Xinyu Du, Qi Zhu
2024	J	`jnl`	Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deployment. CoRR Jiaqi Wu, Shihao Zhang, Simin Chen, Lixu Wang, Zehua Wang, Wei Chen, Fangyuan He, Zijian Tian, F. Richard Yu, Victor C. M. Leung
2024	J	`jnl`	Exploring Backdoor Attacks against Large Language Model-based Decision Making. CoRR Ruochen Jiao, Shaoyuan Xie, Justin Yue, Takami Sato, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu
2024	J	`jnl`	Federated Learning with New Knowledge: Fundamentals, Advances, and Futures. CoRR Lixu Wang, Yang Zhao, Jiahua Dong, Ating Yin, Qinbin Li, Xiao Wang, Dusit Niyato, Qi Zhu
2024	J	`jnl`	Phase-driven Domain Generalizable Learning for Nonstationary Time Series. CoRR Payal Mohapatra, Lixu Wang, Qi Zhu
2024	J	`jnl`	Practical Unlearning for Large Language Models. CoRR Chongyang Gao, Lixu Wang, Chenkai Weng, Xiao Wang, Qi Zhu
2024	A*	`conf`	Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval. NeurIPS Lixu Wang, Xinyu Du, Qi Zhu
2024	J	`jnl`	Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval. CoRR Lixu Wang, Xinyu Du, Qi Zhu
2023	J	`jnl`	DEJA VU: Continual Model Generalization For Unseen Domains. CoRR Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu
2023	A*	`conf`	Deja Vu: Continual Model Generalization for Unseen Domains. ICLR Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu
2023	A*	`conf`	Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. NeurIPS Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
2023	J	`jnl`	Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. CoRR Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
2023	J	`jnl`	Federated Continual Novel Class Learning. CoRR Lixu Wang, Chenxi Liu, Junfeng Guo, Jiahua Dong, Xiao Wang, Heng Huang, Qi Zhu
2023	J	`jnl`	InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation. IEEE Trans. Neural Networks Learn. Syst. Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu
2023	J	`jnl`	InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation. CoRR Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu
2023	A*	`conf`	PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning. ICCV Junfeng Guo, Ang Li, Lixu Wang, Cong Liu
2022	A*	`conf`	Federated Class-Incremental Learning. CVPR Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu
2022	J	`jnl`	Federated Class-Incremental Learning. CoRR Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu
2022	A*	`conf`	Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization. ICLR Lixu Wang, Shichao Xu, Ruiqi Xu, Xiao Wang, Qi Zhu
2021	A*	`conf`	Addressing Class Imbalance in Federated Learning. AAAI Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu
2021	J	`jnl`	Non-Transferable Learning: A New Approach for Model Verification and Authorization. CoRR Lixu Wang, Shichao Xu, Ruiqi Xu, Xiao Wang, Qi Zhu
2021	J	`jnl`	Weak Adaptation Learning - Addressing Cross-domain Data Insufficiency with Weak Annotator. CoRR Shichao Xu, Lixu Wang, Yixuan Wang, Qi Zhu
2021	A*	`conf`	Weak Adaptation Learning: Addressing Cross-domain Data Insufficiency with Weak Annotator. ICCV Shichao Xu, Lixu Wang, Yixuan Wang, Qi Zhu
2021	A*	`conf`	mID: Tracing Screen Photos via Moiré Patterns. USENIX Security Symposium Yushi Cheng, Xiaoyu Ji, Lixu Wang, Qi Pang, Yi-Chao Chen, Wenyuan Xu
2020	J	`jnl`	Towards Class Imbalance in Federated Learning. CoRR Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu
2019	J	`jnl`	Eavesdrop the Composition Proportion of Training Labels in Federated Learning. CoRR Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu
2017	—	`conf`	Dynamics analysis of a missile vehicle considering the pavement roughness. CIS/RAM Lixu Wang, Hongyu Tian, Xi Liang, Cheng Wei, Yang Zhao, Lijie Chen