Sicheng Pan

According to our database, Sicheng Pan authored at least 23 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Spore: Efficient and Training-Free Privacy Extraction Attack on LLMs via Inference-Time Hybrid Probing.

Yu Cui, Ruiqing Yue, Hang Fu, Sicheng Pan, Zhuoyu Sun, Baohan Huang, Haibin Zhang, Cong Zuo, Licheng Wang

CoRR, April, 2026

Adaptive Multi-Objective Tiered Storage Configuration for KV Cache in LLM Service.

Xianzhe Zheng, Zhengheng Wang, Ruiyan Ma, Rui Wang, Xiyu Wang, Rui Chen, Peng Zhang, Sicheng Pan, Zhangheng Huang, Chenxin Wu, Yi Zhang, Bo Cai, Kan Liu, Teng Ma, Yin Du, Dong Deng, Sai Wu, Guoyun Zhu, Wei Zhang, Feifei Li

CoRR, March, 2026

Tail-Aware Post-Training Quantization for 3D Geometry Models.

Sicheng Pan, Chen Tang, Shuzhao Xie, Ke Yang, Weixiang Zhang, Jiawei Li, Bin Chen, Shu-Tao Xia, Zhi Wang

CoRR, February, 2026

Universal image restoration via task-adaptive diffusion degradation oriented model.

Junxi Wu, Sicheng Pan, Naiqi Li, Bin Chen, Baoyi An, Zhi Wang, Yaowei Wang, Shu-Tao Xia

Pattern Recognit., 2026

VortexPIA: Indirect Prompt Injection Attack against LLMs for Efficient Extraction of User Privacy.

Yu Cui, Sicheng Pan, Yifei Liu, Haibin Zhang, Cong Zuo

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Towards Provably Secure Generative AI: Reliable Consensus Sampling.

Yu Cui, Hang Fu, Sicheng Pan, Zhuoyu Sun, Yifei Liu, Yuhong Nie, Bo Ran, Baohan Huang, Xufeng Zhang, Haibin Zhang, Cong Zuo, Licheng Wang

CoRR, December, 2025

Can LLMs Threaten Human Survival? Benchmarking Potential Existential Threats from LLMs via Prefix Completion.

Yu Cui, Yifei Liu, Hang Fu, Sicheng Pan, Haibin Zhang, Cong Zuo, Licheng Wang

CoRR, November, 2025

Human-Factors-in-Aviation-Loop: Multimodal Deep Learning for Pilot Situation Awareness Analysis Using Gaze Position and Flight Control Data.

Gary J. W. Xu, Sicheng Pan, Poly Z. H. Sun, Kun Guo, Seop Hyeong Park, Fengshuo Yan, Mingyang Gao, Xiaoru Wanyan, Hong Cheng, Edmond Qi Wu

IEEE Trans. Intell. Transp. Syst., June, 2025

High Quality Underwater Image Compression with Adaptive Correction and Codebook-based Augmentation.

Yi-Min Zhou, Yichong Xia, Sicheng Pan, Bin Chen, Baoyi An, Haoqian Wang, Zhi Wang, Yaowei Wang, Zikun Zhou

CoRR, May, 2025

Burst denoising transformer with multi-task optical flow estimation.

Sicheng Pan, Yingming Li

Neural Networks, 2025

SizeGS: Size-aware Compression of 3D Gaussian Splatting via Mixed Integer Programming.

Shuzhao Xie, Jiahang Liu, Weixiang Zhang, Shijia Ge, Sicheng Pan, Chen Tang, Yunpeng Bai, Cong Zhang, Xiaoyi Fan, Zhi Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Cultural Insights in Souls-Like Games: Analyzing Player Behaviors, Perspectives, and Emotions Across a Multicultural Context.

Sicheng Pan, Gary J. W. Xu, Kun Guo, Seop Hyeong Park, Hongliang Ding

IEEE Trans. Games, December, 2024

Video-Based Engagement Estimation of Game Streamers: An Interpretable Multimodal Neural Network Approach.

Sicheng Pan, Gary J. W. Xu, Kun Guo, Seop Hyeong Park, Hongliang Ding

IEEE Trans. Games, December, 2024

EBDNet: Integrating Optical Flow With Kernel Prediction for Burst Denoising.

Sicheng Pan, Yingming Li

IEEE Trans. Circuits Syst. Video Technol., September, 2024

QED: A Powerful Query Equivalence Decider for SQL.

Shuxian Wang, Sicheng Pan, Alvin Cheung

Proc. VLDB Endow., July, 2024

SizeGS: Size-aware Compression of 3D Gaussians with Hierarchical Mixed Precision Quantization.

Shuzhao Xie, Jiahang Liu, Weixiang Zhang, Shijia Ge, Sicheng Pan, Chen Tang, Yunpeng Bai, Zhi Wang

CoRR, 2024

2023

Human-Factors-in-Driving-Loop: Driver Identification and Verification via a Deep Learning Approach using Psychological Behavioral Data.

Jiawei Xu, Sicheng Pan, Poly Z. H. Sun, Seop Hyeong Park, Kun Guo

IEEE Trans. Intell. Transp. Syst., March, 2023

Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems.

Chunhui Shen, Qianyu Ouyang, Feibo Li, Zhipeng Liu, Longcheng Zhu, Yujie Zou, Qing Su, Tianhuan Yu, Yi Yi, Jianhong Hu, Cen Zheng, Bo Wen, Hanbang Zheng, Lunfan Xu, Sicheng Pan, Bin Wu, Xiao He, Ye Li, Jian Tan, Sheng Wang, Dan Pei, Wei Zhang, Feifei Li

Proc. VLDB Endow., 2023

Leveraging Application Data Constraints to Optimize Database-Backed Web Applications.

Xiaoxuan Liu, Shuxian Wang, Mengzhu Sun, Sicheng Pan, Ge Li, Siddharth Jha, Cong Yan, Junwen Yang, Shan Lu, Alvin Cheung

Proc. VLDB Endow., 2023

2022

JSENet: A deep convolutional neural network for joint image super-resolution and enhancement.

Kejie Lyu, Sicheng Pan, Yingming Li, Zhongfei Zhang

Neurocomputing, 2022

Leveraging Application Data Constraints to Optimize Database-Backed Web Applications.

Xiaoxuan Liu, Shuxian Wang, Mengzhu Sun, Sharon Lee, Sicheng Pan, Joshua Wu, Cong Yan, Junwen Yang, Shan Lu, Alvin Cheung

CoRR, 2022

Accurate and Explainable Recommendation via Review Rationalization.

Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2019

Charge Prediction for Multi-defendant Cases with Multi-scale Attention.

Sicheng Pan, Tun Lu, Ning Gu, Huajuan Zhang, Chunlin Xu

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019