Shuai Xiao - RankMe

33 papers A* 9A 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment. AAAI Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma, Yu Lan, Shuai Xiao
2025	A*	`conf`	Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training. CVPR Haicheng Wang, Chen Ju, Weixiong Lin, Shuai Xiao, Mengting Chen, Yixuan Huang, Chang Liu, Mingshuai Yao, Jinsong Lan, Ying Chen, Qingwen Liu, Yanfeng Wang
2025	A*	`conf`	CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration. ICML Haoyun Jiang, Haolin Li, Jianwei Zhang, Fei Huang, Qiang Hu, Minmin Sun, Shuai Xiao, Yong Li, Junyang Lin, Jiangchao Yao
2025	J	`jnl`	Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization. CoRR Zhicheng Wang, Chen Ju, Xu Chen, Shuai Xiao, Jinsong Lan, Xiaoyong Zhu, Ying Chen, Zhiguo Cao
2025	J	`jnl`	Leveraging Scene Context with Dual Networks for Sequential User Behavior Modeling. CoRR Xu Chen, Yunmeng Shu, Yuangang Pan, Jinsong Lan, Xiaoyong Zhu, Shuai Xiao, Haojin Zhu, Ivor W. Tsang, Bo Zheng
2025	J	`jnl`	MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment. CoRR Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma, Yu Lan, Shuai Xiao
2025	J	`jnl`	MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework. CoRR Zihan Ling, Zhiyao Guo, Yixuan Huang, Yi An, Shuai Xiao, Jinsong Lan, Xiaoyong Zhu, Bo Zheng
2025	J	`jnl`	Squeeze Out Tokens from Sample for Finer-Grained Data Governance. CoRR Weixiong Lin, Chen Ju, Haicheng Wang, Shengchao Hu, Shuai Xiao, Mengting Chen, Yuheng Jiao, Mingshuai Yao, Jinsong Lan, Qingwen Liu, Ying Chen
2025	J	`jnl`	Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation. CoRR Yizhu Chen, Chen Ju, Zhicheng Wang, Shuai Xiao, Xu Chen, Jinsong Lan, Xiaoyong Zhu, Ying Chen
2024	J	`jnl`	Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training. CoRR Haicheng Wang, Chen Ju, Weixiong Lin, Shuai Xiao, Mengting Chen, Yixuan Huang, Chang Liu, Mingshuai Yao, Jinsong Lan, Ying Chen, Qingwen Liu, Yanfeng Wang
2024	J	`jnl`	Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao. CoRR Xu Chen, Zida Cheng, Yuangang Pan, Shuai Xiao, Xiaoming Liu, Jinsong Lan, Qingwen Liu, Ivor W. Tsang
2024	J	`jnl`	Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation. CoRR Jiajun Cui, Xu Chen, Shuai Xiao, Chen Ju, Jinsong Lan, Qingwen Liu, Wei Zhang
2024	A	`conf`	DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks. CIKM Shuai Xiao, Zaifan Jiang
2024	—	`conf`	Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation. WWW (Companion Volume) Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao
2024	A*	`conf`	Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos. ACM Multimedia Zhengze Xu, Mengting Chen, Zhao Wang, Linyu Xing, Zhonghua Zhai, Nong Sang, Jinsong Lan, Shuai Xiao, Changxin Gao
2024	J	`jnl`	Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos. CoRR Zhengze Xu, Mengting Chen, Zhao Wang, Linyu Xing, Zhonghua Zhai, Nong Sang, Jinsong Lan, Shuai Xiao, Changxin Gao
2024	—	`conf`	Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models. ECCV (46) Chen Ju, Haicheng Wang, Haozhe Cheng, Xu Chen, Zhonghua Zhai, Weilin Huang, Jinsong Lan, Shuai Xiao, Bo Zheng
2024	J	`jnl`	Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models. CoRR Chen Ju, Haicheng Wang, Haozhe Cheng, Xu Chen, Zhonghua Zhai, Weilin Huang, Jinsong Lan, Shuai Xiao, Bo Zheng
2023	J	`jnl`	Cross-domain Augmentation Networks for Click-Through Rate Prediction. CoRR Xu Chen, Zida Cheng, Shuai Xiao, Xiaoyi Zeng, Weilin Huang
2023	J	`jnl`	Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation. CoRR Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao
2023	J	`jnl`	Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning. IEEE Trans. Knowl. Data Eng. Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen, Philip S. Yu
2023	J	`jnl`	Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Models. CoRR Chen Ju, Haicheng Wang, Zeqian Li, Xu Chen, Zhonghua Zhai, Weilin Huang, Shuai Xiao
2019	J	`jnl`	Learning Time Series Associated Event Sequences With Recurrent Point Process Networks. IEEE Trans. Neural Networks Learn. Syst. Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha
2018	A*	`conf`	Learning Conditional Generative Models for Temporal Point Processes. AAAI Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha
2018	J	`jnl`	Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process. IEEE Access Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2017	J	`jnl`	Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks. CoRR Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha
2017	J	`jnl`	Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks. CoRR Shuai Xiao, Junchi Yan, Stephen M. Chu, Xiaokang Yang, Hongyuan Zha
2017	A*	`conf`	Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. AAAI Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu
2017	A*	`conf`	On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. AAAI Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu
2017	—	`conf`	Wasserstein Learning of Deep Generative Point Process Models. NIPS Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha
2017	J	`jnl`	Wasserstein Learning of Deep Generative Point Process Models. CoRR Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha
2016	A*	`conf`	Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. IJCAI Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha
2016	A*	`conf`	On Modeling and Predicting Individual Paper Citation Count over Time. IJCAI Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha