Shuhui Qu - RankMe

37 papers A* 2A 1B 1C 6Misc 4Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active Epistemic Control for Query-Efficient Verified Planning. CoRR Shuhui Qu
2026	J	`jnl`	Adaptive Test-Time Compute Allocation via Learned Heuristics over Categorical Structure. CoRR Shuhui Qu
2026	J	`jnl`	Fuzzy Categorical Planning: Autonomous Goal Satisfaction with Graded Semantic Constraints. CoRR Shuhui Qu
2026	J	`jnl`	Teaching LLMs to Ask: Self-Querying Category-Theoretic Planning for Under-Specified Reasoning. CoRR Shuhui Qu
2026	J	`jnl`	VDLM: Variable Diffusion LMs via Robust Latent-to-Text Rendering. CoRR Shuhui Qu
2025	—	`conf`	A Category-Theoretic Approach to Neural-Symbolic Task Planning with Bidirectional Search. EMNLP (Findings) Shuhui Qu, Jie Wang, Kincho Law
2025	J	`jnl`	GoMS: Graph of Molecule Substructure Network for Molecule Property Prediction. CoRR Shuhui Qu, Cheolwoo Park
2025	J	`jnl`	Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection. CoRR Qisen Cheng, Shuhui Qu, Janghwan Lee
2024	J	`jnl`	Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching. CoRR Akshay Subramanian, Shuhui Qu, Cheol Woo Park, Sulin Liu, Janghwan Lee, Rafael Gómez-Bombarelli
2024	B	`conf`	Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection. ICTAI Qisen Cheng, Shuhui Qu, Janghwan Lee
2023	J	`jnl`	SHAPNN: Shapley Value Regularized Tabular Neural Network. CoRR Qisen Cheng, Shuhui Qu, Janghwan Lee
2022	A	`conf`	AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification. INTERSPEECH Juncheng Li, Shuhui Qu, Po-Yao Huang, Florian Metze
2022	J	`jnl`	AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification. CoRR Juncheng B. Li, Shuhui Qu, Po-Yao Huang, Florian Metze
2022	J	`jnl`	Error-aware Quantization through Noise Tempering. CoRR Zheng Wang, Juncheng B. Li, Shuhui Qu, Florian Metze, Emma Strubell
2022	Misc	`conf`	On Adversarial Robustness Of Large-Scale Audio Visual Learning. ICASSP Juncheng B. Li, Shuhui Qu, Xinjian Li, Bernie Po-Yao Huang, Florian Metze
2022	J	`jnl`	On Adversarial Robustness of Large-scale Audio Visual Learning. CoRR Juncheng B. Li, Shuhui Qu, Xinjian Li, Po-Yao Huang, Florian Metze
2022	J	`jnl`	Robustness of Neural Architectures for Audio Event Detection. CoRR Juncheng B. Li, Shuhui Qu, Florian Metze
2022	J	`jnl`	SQuAT: Sharpness- and Quantization-Aware Training for BERT. CoRR Zheng Wang, Juncheng B. Li, Shuhui Qu, Florian Metze, Emma Strubell
2021	Misc	`conf`	Audio-Visual Event Recognition Through the Lens of Adversary. ICASSP Juncheng B. Li, Kaixin Ma, Shuhui Qu, Po-Yao Huang, Florian Metze
2021	A*	`conf`	Efficient Multi-Modal Fusion with Diversity Analysis. ACM Multimedia Shuhui Qu, Yan Kang, Janghwan Lee
2020	J	`jnl`	Audio-Visual Event Recognition through the lens of Adversary. CoRR Juncheng B. Li, Kaixin Ma, Shuhui Qu, Po-Yao Huang, Florian Metze
2020	C	`conf`	Multi-Agent Context-Aware Dynamic-Scheduling for Large-scale Processing Networks. ETFA Shuhui Qu, Yirong Chen, Jürgen Jasperneite, Michael D. Lepech, Jie Wang
2019	J	`jnl`	Adversarial Music: Real World Audio Adversary Against Wake-word Detection System. CoRR Juncheng B. Li, Shuhui Qu, Xinjian Li, J. Zico Kolter, Florian Metze
2019	A*	`conf`	Adversarial Music: Real world Audio Adversary against Wake-word Detection System. NeurIPS Juncheng Li, Shuhui Qu, Xinjian Li, Joseph Szurley, J. Zico Kolter, Florian Metze
2019	C	`conf`	Dynamic scheduling in modern processing systems using expert-guided distributed reinforcement learning. ETFA Shuhui Qu, Jie Wang, Jürgen Jasperneite
2018	C	`conf`	Dynamic scheduling in large-scale stochastic processing networks for demand-driven manufacturing using distributed reinforcement learning. ETFA Shuhui Qu, Jie Wang, Jürgen Jasperneite
2017	J	`jnl`	A Comparison of deep learning methods for environmental sound. CoRR Juncheng Li, Wei Dai, Florian Metze, Shuhui Qu, Samarjit Das
2017	Misc	`conf`	A comparison of Deep Learning methods for environmental sound detection. ICASSP Juncheng Li, Wei Dai, Florian Metze, Shuhui Qu, Samarjit Das
2017	Misc	`conf`	Very deep convolutional neural networks for raw waveforms. ICASSP Wei Dai, Chia Dai, Shuhui Qu, Juncheng Li, Samarjit Das
2016	—	`conf`	Large-scale multi-agent reinforcement learning using image-based state representation. CDC Tianshu Chu, Shuhui Qu, Jie Wang
2016	C	`conf`	Large-scale traffic grid signal control with regional Reinforcement Learning. ACC Tianshu Chu, Shuhui Qu, Jie Wang
2016	J	`jnl`	Learning Filter Banks Using Deep Learning For Acoustic Signals. CoRR Shuhui Qu, Juncheng Li, Wei Dai, Samarjit Das
2016	C	`conf`	Learning adaptive dispatching rules for a manufacturing process system by using reinforcement learning approach. ETFA Shuhui Qu, Jie Wang, Govil Shivani
2016	J	`jnl`	Understanding Audio Pattern Using Convolutional Neural Network From Raw Waveforms. CoRR Shuhui Qu, Juncheng Li, Wei Dai, Samarjit Das
2016	J	`jnl`	Very Deep Convolutional Neural Networks for Raw Waveforms. CoRR Wei Dai, Chia Dai, Shuhui Qu, Juncheng Li, Samarjit Das
2015	C	`conf`	A centralized reinforcement learning approach for proactive scheduling in manufacturing. ETFA Shuhui Qu, Tianshu Chu, Jie Wang, James O. Leckie, Weiwen Jian
2014	—	`conf`	Comuptional reasoning and learning for smart manufacturing under realistic conditions. BESC Shuhui Qu, Raymond Jian, Tianshu Chu, Jie Wang, Tian Tan