Sheng Guan - RankMe

47 papers A* 7A 3B 2Misc 2Journal 22Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Consensus is Not Verification: Why Crowd Wisdom Strategies Fail for LLM Truthfulness. CoRR Yegor Denisov-Blanch, Joshua Kazdan, Jessica Chudnovsky, Rylan Schaeffer, Sheng Guan, Soji Adeshina, Sanmi Koyejo
2026	J	`jnl`	Refining Positive and Toxic Samples for Dual Safety Self-Alignment of LLMs With Minimal Human Interventions. IEEE Trans. Inf. Forensics Secur. Jingxin Xu, Guoshun Nan, Sheng Guan, Sicong Leng, Yilian Liu, Zixiao Wang, Yuyang Ma, Zhili Zhou, Yanzhao Hou, Xiaofeng Tao
2026	J	`jnl`	Scalable Prompt Routing via Fine-Grained Latent Task Discovery. CoRR Yunyi Zhang, Soji Adeshina, Sheng Guan, Ashwin Ganesh, Zhen Han, Vassilis N. Ioannidis, Huzefa Rangwala, George Karypis
2026	J	`jnl`	Train Less, Learn More: Adaptive Efficient Rollout Optimization for Group-Based Reinforcement Learning. CoRR Zhi Zhang, Zhen Han, Costas Mavromatis, Qi Zhu, Yunyi Zhang, Sheng Guan, Dingmin Wang, Xiong Zhou, Shuai Wang, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala
2025	A*	`conf`	A Systematic Survey of Automatic Prompt Optimization Techniques. EMNLP Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen, Shuai Wang, Sangmin Woo, Sullam Jeoung, Yawei Wang, Haozhu Wang, Han Ding, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong
2025	J	`jnl`	A Systematic Survey of Automatic Prompt Optimization Techniques. CoRR Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen, Shuai Wang, Sangmin Woo, Sullam Jeoung, Yawei Wang, Haozhu Wang, Han Ding, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong
2025	—	`conf`	Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models. NAACL (Short Papers) Sangmin Woo, Kang Zhou, Yun Zhou, Shuai Wang, Sheng Guan, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models. CoRR Sangmin Woo, Kang Zhou, Yun Zhou, Shuai Wang, Sheng Guan, Haibo Ding, Lin Lee Cheong
2025	A*	`conf`	Can Watermarked LLMs be Identified by Users via Crafted Prompts? ICLR Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu
2025	J	`jnl`	Damage identification method for jacket platform based on dual-channel model. Digit. Signal Process. Wenkai Wu, Junwei Gao, Ankai Wei, Sheng Guan
2025	—	`conf`	IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs. EMNLP (Industry Track) Aosong Feng, Balasubramaniam Srinivasan, Yun Zhou, Zhichao Xu, Kang Zhou, Sheng Guan, Yueyan Chen, Xian Wu, Ninad Kulkarni, Yi Zhang, Zhengyuan Shen, Dmitriy Bespalov, Soumya Smruti Mishra, Yifei Teng, Darren Yow-Bang Wang, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models. CoRR Leyi Pan, Sheng Guan, Zheyu Fu, Luyang Si, Zian Wang, Xuming Hu, Irwin King, Philip S. Yu, Aiwei Liu, Lijie Wen
2025	J	`jnl`	Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models. CoRR Leyi Pan, Zheyu Fu, Yunpeng Zhai, Shuchang Tao, Sheng Guan, Shiyu Huang, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Felix Henry, Lijie Wen, Aiwei Liu
2025	J	`jnl`	Refining Positive and Toxic Samples for Dual Safety Self-Alignment of LLMs with Minimal Human Interventions. CoRR Jingxin Xu, Guoshun Nan, Sheng Guan, Sicong Leng, Yilian Liu, Zixiao Wang, Yuyang Ma, Zhili Zhou, Yanzhao Hou, Xiaofeng Tao
2024	J	`jnl`	Can Watermarked LLMs be Identified by Users via Crafted Prompts? CoRR Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu
2024	J	`jnl`	ModsNet: Performance-aware Top-k Model Search using Exemplar Datasets. Proc. VLDB Endow. Mengying Wang, Hanchao Ma, Sheng Guan, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu
2023	J	`jnl`	Development of GNSS Buoy for Sea Surface Elevation Observation of Offshore Wind Farm. Remote. Sens. Guanhui Liang, Shujiang Li, Ke Bao, Guanlin Wang, Fei Teng, Fengye Zhang, Yanfeng Wang, Sheng Guan, Zexun Wei
2023	A*	`conf`	Fair Group Summarization with Graph Patterns. ICDE Hanchao Ma, Sheng Guan, Mengying Wang, Qi Song, Yinghui Wu
2023	A*	`conf`	GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs. ICDE Sheng Guan, Hanchao Ma, Mengying Wang, Yinghui Wu
2023	A	`conf`	Selecting Top-k Data Science Models by Example Dataset. CIKM Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu
2022	A	`conf`	CRUX: Crowdsourced Materials Science Resource and Workflow Exploration. CIKM Mengying Wang, Hanchao Ma, Abhishek Daundkar, Sheng Guan, Yiyang Bian, Alp Sehirlioglu, Yinghui Wu
2022	A	`conf`	Diversified Subgraph Query Generation with Group Fairness. WSDM Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu
2022	J	`jnl`	Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. IEEE Access Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
2022	J	`jnl`	Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. CoRR Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
2022	—	`conf`	Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury
2022	A*	`conf`	RoboGNN: Robustifying Node Classification under Link Perturbation. IJCAI Sheng Guan, Hanchao Ma, Yinghui Wu
2022	A*	`conf`	Subgraph Query Generation with Fairness and Diversity Constraints. ICDE Hanchao Ma, Sheng Guan, Mengying Wang, Yen-Shuo Chang, Yinghui Wu
2021	J	`jnl`	GEDet: Detecting Erroneous Nodes with A Few Examples. Proc. VLDB Endow. Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu
2020	J	`jnl`	Correntropy-based DOA estimation algorithm under impulsive noise environments. EURASIP J. Wirel. Commun. Netw. Jin Chen, Sheng Guan
2020	—	`conf`	GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs. IEEE BigData Sheng Guan, Peng Lin, Hanchao Ma, Yinghui Wu
2020	—	`conf`	Genetic Algorithm of the Mutual Selection Between Teachers and Students in Online Learning. CSIA (1) Jingjing Jiang, Sheng Guan, Jiashun Wang, Dandan Wang, Xue Song
2020	J	`jnl`	Logistics industry monitoring system based on wireless sensor network platform. Comput. Commun. Jingjing Jiang, Haiwen Wang, Xiangwei Mu, Sheng Guan
2020	—	`conf`	Reform of Database and Data Warehouse Course Based on OBE-CDIO Model. SPIoT (1) Yao Li, Jingjing Jiang, Sheng Guan, Weijia Zeng
2019	A*	`conf`	Attribute-Driven Backbone Discovery. KDD Sheng Guan, Hanchao Ma, Yinghui Wu
2018	—	`conf`	Multi-mode Study of Deep Learning Applications in Acoustic Signal Processing. SiPS Sheng Guan, Weicheng He, Wenjin Gu, Yuanzhao Hou, Yun Chen, Xiaoyang Zeng
2018	J	`jnl`	Two-Dimensional Direction of Arrival Estimation for Improved Archimedean Spiral Array With MUSIC Algorithm. IEEE Access Jin Chen, Sheng Guan, Ying Tong, Lei Yan
2017	J	`jnl`	A New Construction of Exact-Repair MSR Codes Using Linearly Dependent Vectors. IEEE Commun. Lett. Sheng Guan, Haibin Kan, Jie Wen, Shuli Xia
2017	J	`jnl`	A Novel Construction of Low-Complexity MDS Codes with Optimal Repair Capability for Distributed Storage Systems. CoRR Sheng Guan, Haibin Kan, Xin Wang
2017	—	`conf`	A construction of (5, 3) MDS codes with optimal repair capability for distributed storage systems. WCSP Sheng Guan, Haibin Kan, Xin Wang
2016	Misc	`conf`	A Scalable and Automatic Validation Process for Florida Public Hurricane Loss Model (Invited Paper). IRI Haiman Tian, Hsin-Yu Ha, Samira Pouyanfar, Yilin Yan, Sheng Guan, Shu-Ching Chen, Mei-Ling Shyu, Shahid Hamid
2016	Misc	`conf`	Domain Knowledge Assisted Data Processing for Florida Public Hurricane Loss Model (Invited Paper). IRI Yilin Yan, Samira Pouyanfar, Haiman Tian, Sheng Guan, Hsin-Yu Ha, Shu-Ching Chen, Mei-Ling Shyu, Shahid Hamid
2016	—	`conf`	Florida International University - University of Miami TRECVID 2016. TRECVID Yilin Yan, Samira Pouyanfar, Sheng Guan, Haiman Tian, Hsin-Yu Ha, Mei-Ling Shyu, Shu-Ching Chen, Winnie Chen, Tiffany Chen, Jonathan Chen
2015	—	`conf`	Deep Learning with MCA-based Instance Selection and Bootstrapping for Imbalanced Data Classification. CIC Sheng Guan, Min Chen, Hsin-Yu Ha, Shu-Ching Chen, Mei-Ling Shyu, Chengde Zhang
2013	J	`jnl`	Self-Calibration of Catadioptric Camera with Two Planar Mirrors from Silhouettes. IEEE Trans. Pattern Anal. Mach. Intell. Xianghua Ying, Kun Peng, Yongbo Hou, Sheng Guan, Jing Kong, Hongbin Zha
2012	—	`conf`	Camera Calibration Using Vertical Lines. ACCV Workshops (1) Jing Kong, Xianghua Ying, Songtao Pu, Yongbo Hou, Sheng Guan, Ganwen Wang, Hongbin Zha
2012	B	`conf`	Direct least square fitting of ellipsoids. ICPR Xianghua Ying, Li Yang, Jing Kong, Yongbo Hou, Sheng Guan, Hongbin Zha
1993	B	`conf`	Generalizing Evidence Theory to Lattices to Manage Uncertainty. ICTAI Sheng Guan