Qinsi Wang - RankMe

40 papers A* 6C 1Journal 22Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models. AAAI Zishan Shao, Yixiao Wang, Qinsi Wang, Ting Jiang, Zhixu Du, Hancheng Ye, Danyang Zhuo, Yiran Chen, Hai (Helen) Li
2026	A*	`conf`	Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models. HPCA Chiyue Wei, Cong Guo, Junyao Zhang, Haoxuan Shan, Yifan Xu, Ziyue Zhang, Yudong Liu, Qinsi Wang, Changchun Zhou, Hai Helen Li, Yiran Chen
2026	J	`jnl`	T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning. CoRR Qinsi Wang, Hancheng Ye, Jinhee Kim, Jinghan Ke, Yifei Wang, Martin Kuo, Zishan Shao, Dongting Li, Yueqian Lin, Ting Jiang, Chiyue Wei, Qi Qian, Wei Wen, Helen Li, Yiran Chen
2025	J	`jnl`	Angles Don't Lie: Unlocking Training-Efficient RL Through the Model's Own Signals. CoRR Qinsi Wang, Jinghan Ke, Hancheng Ye, Yueqian Lin, Yuzhe Fu, Jianyi Zhang, Kurt Keutzer, Chenfeng Xu, Yiran Chen
2025	C	`conf`	AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning. ASRU Yueqian Lin, Zhengmian Hu, Jayakumar Subramanian, Qinsi Wang, Nikos Vlassis, Hai Li, Yiran Chen
2025	J	`jnl`	AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning. CoRR Yueqian Lin, Zhengmian Hu, Jayakumar Subramanian, Qinsi Wang, Nikos Vlassis, Hai Helen Li, Yiran Chen
2025	A*	`conf`	CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models. ICML Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen
2025	J	`jnl`	CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models. CoRR Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen
2025	A*	`conf`	Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives. ICLR Qinsi Wang, Jinghan Ke, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu
2025	J	`jnl`	Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives. CoRR Qinsi Wang, Jinghan Ke, Masayoshi Tomizuka, Yiran Chen, Kurt Keutzer, Chenfeng Xu
2025	J	`jnl`	FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models. CoRR Zishan Shao, Yixiao Wang, Qinsi Wang, Ting Jiang, Zhixu Du, Hancheng Ye, Danyang Zhuo, Yiran Chen, Hai Li
2025	J	`jnl`	Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models. CoRR Chiyue Wei, Cong Guo, Junyao Zhang, Haoxuan Shan, Yifan Xu, Ziyue Zhang, Yudong Liu, Qinsi Wang, Changchun Zhou, Hai (Helen) Li, Yiran Chen
2025	J	`jnl`	H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking. CoRR Martin Kuo, Jianyi Zhang, Aolin Ding, Qinsi Wang, Louis DiValentin, Yujia Bao, Wei Wei, Hai Li, Yiran Chen
2025	J	`jnl`	HippoMM: Hippocampal-inspired Multimodal Memory for Long Audiovisual Event Understanding. CoRR Yueqian Lin, Qinsi Wang, Hancheng Ye, Yuzhe Fu, Hai Helen Li, Yiran Chen
2025	J	`jnl`	KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems. CoRR Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen
2025	J	`jnl`	Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing. CoRR Yudong Liu, Jingwei Sun, Yueqian Lin, Jingyang Zhang, Ming Yin, Qinsi Wang, Jianyi Zhang, Hai Li, Yiran Chen
2025	J	`jnl`	LLaViDA: A Large Language Vision Driving Assistant for Explicit Reasoning and Enhanced Trajectory Planning. CoRR Yudong Liu, Spencer Hallyburton, JiWoo Kim, Yueqian Lin, Yiming Li, Qinsi Wang, Hui Ye, Jingwei Sun, Miroslav Pajic, Yiran Chen, Hai Li
2025	J	`jnl`	Model Reprogramming Demystified: A Neural Tangent Kernel Perspective. CoRR Ming-Yu Chung, Jiashuo Fan, Hancheng Ye, Qinsi Wang, Wei-Chen Shen, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo
2025	J	`jnl`	Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play. CoRR Qinsi Wang, Bo Liu, Tianyi Zhou, Jing Shi, Yueqian Lin, Yiran Chen, Hai Helen Li, Kun Wan, Wentian Zhao
2025	J	`jnl`	Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap. CoRR Yueqian Lin, Zhengmian Hu, Qinsi Wang, Yudong Liu, Hengfan Zhang, Jayakumar Subramanian, Nikos Vlassis, Hai Helen Li, Yiran Chen
2024	J	`jnl`	An adaptive regularized proximal Newton-type methods for composite optimization over the Stiefel manifold. Comput. Optim. Appl. Qinsi Wang, Wei Hong Yang
2024	J	`jnl`	CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation. CoRR Qinsi Wang, Saeed Vahidian, Hancheng Ye, Jianyang Gu, Jianyi Zhang, Yiran Chen
2024	J	`jnl`	DGL: Device Generic Latency Model for Neural Architecture Search on Mobile Devices. IEEE Trans. Mob. Comput. Qinsi Wang, Sihai Zhang
2023	J	`jnl`	Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation. CoRR Yuqi Xiang, Feitong Chen, Qinsi Wang, Yang Gang, Xiang Zhang, Xinghao Zhu, Xingyu Liu, Lin Shao
2023	A*	`conf`	MathNAS: If Blocks Have a Role in Mathematical Architecture Design. NeurIPS Qinsi Wang, Jinghan Ke, Zhi Liang, Sihai Zhang
2023	J	`jnl`	MathNAS: If Blocks Have a Role in Mathematical Architecture Design. CoRR Qinsi Wang, Jinghan Ke, Zhi Liang, Sihai Zhang
2023	J	`jnl`	Proximal Quasi-Newton Method for Composite Optimization over the Stiefel Manifold. J. Sci. Comput. Qinsi Wang, Wei Hong Yang
2017	—	`conf`	Methods to Expand Cell Signaling Models Using Automated Reading and Model Checking. CMSB Kai-Wen Liang, Qinsi Wang, Cheryl Telmer, Divyaa Ravichandran, Peter Spirtes, Natasa Miskov-Zivanov
2016	—	`conf`	CyberCardia project: Modeling, verification and validation of implantable cardiac devices. BIBM Md. Ariful Islam, Hyun-Kyung Lim, Nicola Paoletti, Houssam Abbas, Zhihao Jiang, Jacek Cyranka, Rance Cleaveland, Sicun Gao, Edmund M. Clarke, Radu Grosu, Rahul Mangharam, Elizabeth Cherry, Flavio H. Fenton, Richard A. Gray, James Glimm, Shan Lin, Qinsi Wang, Scott A. Smolka
2016	—	`conf`	Formal Modeling and Analysis of Pancreatic Cancer Microenvironment. CMSB Qinsi Wang, Natasa Miskov-Zivanov, Bing Liu, James R. Faeder, Michael Lotze, Edmund M. Clarke
2016	—	`conf`	Formal modeling of biological systems. HLDVT Qinsi Wang, Edmund M. Clarke
2016	—	`conf`	High-level modeling and verification of cellular signaling. HLDVT Natasa Miskov-Zivanov, Paolo Zuliani, Qinsi Wang, Edmund M. Clarke, James R. Faeder
2016	—	`conf`	Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans. HLDVT Md. Ariful Islam, Qinsi Wang, Ramin M. Hasani, Ondrej Balun, Edmund M. Clarke, Radu Grosu, Scott A. Smolka
2015	—	`conf`	Formal Analysis Provides Parameters for Guiding Hyperoxidation in Bacteria using Phototoxic Proteins. ACM Great Lakes Symposium on VLSI Qinsi Wang, Natasa Miskov-Zivanov, Cheryl Telmer, Edmund M. Clarke
2015	—	`conf`	SReach: A Probabilistic Bounded Delta-Reachability Analyzer for Stochastic Hybrid Systems. CMSB Qinsi Wang, Paolo Zuliani, Soonho Kong, Sicun Gao, Edmund M. Clarke
2014	—	`conf`	2 Ershov Memorial Conference Edmund M. Clarke, Qinsi Wang
2014	J	`jnl`	SReach: Combining Statistical Tests and Bounded Model Checking for Nonlinear Hybrid Systems with Parametric Uncertainty. CoRR Qinsi Wang, Paolo Zuliani, Soonho Kong, Sicun Gao, Edmund M. Clarke
2013	A*	`conf`	Model-Checking Signal Transduction Networks through Decreasing Reachability Sets. CAV Koen Claessen, Jasmin Fisher, Samin Ishtiaq, Nir Piterman, Qinsi Wang
2011	—	`conf`	Formal analysis for logical models of pancreatic cancer. CDC/ECC Haijun Gong, Paolo Zuliani, Qinsi Wang, Edmund M. Clarke
2011	—	`conf`	Symbolic Model Checking of Signaling Pathways in Pancreatic Cancer. BICoB Haijun Gong, Qinsi Wang, Paolo Zuliani, James R. Faeder, Michael Lotze