Di Luo - RankMe

71 papers A* 9C 1Misc 1Journal 49Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agile asymmetric multi-legged locomotion: contact planning via geometric mechanics and spin model duality. CoRR Jackson Habala, Gabriel B. Margolis, Tianyu Wang, Pratyush Bhatt, Juntao He, Naheel Naeem, Zhaochen Xu, Pulkit Agrawal, Daniel I. Goldman, Di Luo, Baxi Chong
2026	J	`jnl`	FabricGen: Microstructure-Aware Woven Fabric Generation. CoRR Yingjie Tang, Di Luo, Zixiong Wang, Xiaoli Ling, Jian Yang, Beibei Wang
2026	J	`jnl`	TENG-BC: Unified Time-Evolving Natural Gradient for Neural PDE Solvers with General Boundary Conditions. CoRR Hongjie Jiang, Di Luo
2025	J	`jnl`	A CMOS rectifier with wide power dynamic range based on adaptive body bias compensation technique for radio frequency energy harvesting. Microelectron. J. Kang Zeng, Jian Liu, Rui Wang, Di Luo
2025	J	`jnl`	A universal compression theory: Lottery ticket hypothesis and superpolynomial scaling laws. CoRR Hong-Yi Wang, Di Luo, Tomaso A. Poggio, Isaac L. Chuang, Liu Ziyin
2025	J	`jnl`	Advancing AI-Scientist Understanding: Making LLM Think Like a Physicist with Interpretable Reasoning. CoRR Yinggan Xu, Hana Kimlee, Yijia Xiao, Di Luo
2025	J	`jnl`	CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers. CoRR Haining Pan, James V. Roggeveen, Erez Berg, Juan Carrasquilla, Debanjan Chowdhury, Surya Ganguli, Federico Ghimenti, Juraj Hasik, Henry Hunt, HongJiang Zhang, Mason Kamb, Ying-Jer Kao, Ehsan Khatami, Michael J. Lawler, Di Luo, Titus Neupert, Xiaoliang Qi, Michael P. Brenner, Eun-Ah Kim
2025	J	`jnl`	Development of a multichannel hand-adaptive tactile stimulation device for somatotopic map of human hand in somatosensory cortex with fMRI. NeuroImage Yutong Wang, Di Luo, Lihua Ma, Luyao Wang, Jinglong Wu, Jian Zhang, Tianyi Yan
2025	C	`conf`	Efficient Semi-Supervised Germination Detection in Three Grain Crops. INDIN Chengcheng Chen, Di Luo, Tiantian Pang, Ronghao Fu, Xianchang Wang, Hongkun Qiu, Jiehong Wu, Helong Yu
2025	J	`jnl`	Evaluating Large Language Models in Scientific Discovery. CoRR Zhangde Song, Jieyu Lu, Yuanqi Du, Botao Yu, Thomas M. Pruyn, Yue Huang, Kehan Guo, Xiuzhe Luo, Yuanhao Qu, Yi Qu, Yinkai Wang, Haorui Wang, Jeff Guo, Jingru Gan, Parshin Shojaee, Di Luo, Andres M. Bran, Gen Li, Qiyuan Zhao, Shao-Xiong Lennon Luo, Yuxuan Zhang, Xiang Zou, Wanru Zhao, Yifan F. Zhang, Wucheng Zhang, Shunan Zheng, Saiyang Zhang, Sartaaj Takrim Khan, Mahyar Rajabi Kochi, Samantha Paradi-Maropakis, Tony Baltoiu, Fengyu Xie, Tianyang Chen, Kexin Huang, Weiliang Luo, Meijing Fang, Xin Yang, Lixue Cheng, Jiajun He, Soha Hassoun, Xiangliang Zhang, Wei Wang, Chandan K. Reddy, Chao Zhang, Zhiling Zheng, Mengdi Wang, Le Cong, Carla P. Gomes, Chang-Yu Hsieh, Aditya Nandy, Philippe Schwaller, Heather J. Kulik, Haojun Jia, Huan Sun, Seyed Mohamad Moosavi, Chenru Duan
2025	J	`jnl`	Hamiltonian Learning at Heisenberg Limit for Hybrid Quantum Systems. CoRR Lixing Zhang, Ze-Xun Lin, Prineha Narang, Di Luo
2025	J	`jnl`	Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material. CoRR Team Hunyuan3D, Shuhui Yang, Mingxin Yang, Yifei Feng, Xin Huang, Sheng Zhang, Zebin He, Di Luo, Haolin Liu, Yunfei Zhao, Qingxiang Lin, Zeqiang Lai, Xianghui Yang, Huiwen Shi, Zibo Zhao, Bowen Zhang, Hongyu Yan, Lifu Wang, Sicong Liu, Jihong Zhang, Meng Chen, Liang Dong, Yiwen Jia, Yulin Cai, Jiaao Yu, Yixuan Tang, Dongyuan Guo, Junlin Yu, Hao Zhang, Zheng Ye, Peng He, Runzhou Wu, Shida Wei, Chao Zhang, Yonghao Tan, Yifu Sun, Lin Niu, Shirui Huang, Bojian Zheng, Shu Liu, Shilin Chen, Xiang Yuan, Xiaofeng Yang, Kai Liu, Jianchen Zhu, Peng Chen, Tian Liu, Di Wang, Yuhong Liu, Linus, Jie Jiang, Jingwei Huang, Chunchao Guo
2025	J	`jnl`	Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details. CoRR Zeqiang Lai, Yunfei Zhao, Haolin Liu, Zibo Zhao, Qingxiang Lin, Huiwen Shi, Xianghui Yang, Mingxin Yang, Shuhui Yang, Yifei Feng, Sheng Zhang, Xin Huang, Di Luo, Fan Yang, Fang Yang, Lifu Wang, Sicong Liu, Yixuan Tang, Yulin Cai, Zebin He, Tian Liu, Yuhong Liu, Jie Jiang, Linus, Jingwei Huang, Chunchao Guo
2025	J	`jnl`	L CoRR Zhuo Chen, Oriol Mayné i Comas, Zhuotao Jin, Di Luo, Marin Soljacic
2025	J	`jnl`	MagicNet: Memory-Aware Graph Interactive Causal Network for Multivariate Stock Price Movement Prediction. IEEE Trans. Knowl. Data Eng. Di Luo, Shuqi Li, Weiheng Liao, Rui Yan
2025	J	`jnl`	MatPedia: A Universal Generative Foundation for High-Fidelity Material Synthesis. CoRR Di Luo, Shuhui Yang, Mingxin Yang, Jiawei Lu, Yixuan Tang, Xintong Han, Zhuo Chen, Beibei Wang, Chunchao Guo
2025	J	`jnl`	PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models. CoRR Yinggan Xu, Yue Liu, Zhiqiang Gao, Changnan Peng, Di Luo
2025	J	`jnl`	Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark. CoRR Minhui Zhu, Minyang Tian, Xiaocheng Yang, Tianci Zhou, Penghao Zhu, Eli Chertkov, Shengyan Liu, Yufeng Du, Lifan Yuan, Ziming Ji, Indranil Das, Junyi Cao, Jinchen He, Yifan Su, Jiabin Yu, Yikun Jiang, Yujie Zhang, Chang Liu, Ze-Min Huang, Weizhen Jia, Xinan Chen, Peixue Wu, Yunkai Wang, Juntai Zhou, Yong Zhao, Farshid Jafarpour, Jessie Shelton, Aaron Young, John Bartolotta, Wenchao Xu, Yue Sun, Anjun Chu, Victor Colussi, Chris Akers, Nathan Brooks, Wenbo Fu, Christopher Wilson, Jinchao Zhao, Marvin Qi, Anqi Mu, Yubo Yang, Allen Zang, Yang Lyu, Peizhi Mai, Xuefei Guo, Luyu Gao, Ze Yang, Chi Xue, Dmytro Bandak, Yaïr Hein, Yonatan Kahn, S. Kevin Zhou, John Drew Wilson, Jarrod T. Reilly, Di Luo, Daniel Inafuku, Hao Tong, Liang Yang, Ruixing Zhang, Xueying Wang, Ofir Press, Nicolas Chia, Eliu A. Huerta, Hao Peng
2025	J	`jnl`	Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise. CoRR Lucas Tecot, Di Luo, Cho-Jui Hsieh
2025	J	`jnl`	Trading-R1: Financial Trading with LLM Reasoning via Reinforcement Learning. CoRR Yijia Xiao, Edward Sun, Tong Chen, Fang Wu, Di Luo, Wei Wang
2025	J	`jnl`	VBStMM-LLM: Robust Fault Identification Leveraging Variational Bayesian Student's T-Mixture Modeling With Lifelong Learning Mechanism. IEEE Trans. Reliab. Jingyan Li, Jiaju Man, Jinping Liu, Di Luo, Haidong Shao, Yongfang Xie
2024	A*	`conf`	Correlation-aware Encoder-Decoder with Adapters for SVBRDF Acquisition. SIGGRAPH Asia Di Luo, Hanxiao Sun, Lei Ma, Jian Yang, Beibei Wang
2024	A*	`conf`	Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. AAAI Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang
2024	—	`conf`	Entangling Intelligence: AI-Quantum Crossovers and Perspectives. TPS-ISA Zhuo Chen, Di Luo
2024	J	`jnl`	Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers. CoRR Xin Cheng, Xiuying Chen, Shuqi Li, Di Luo, Xun Wang, Dongyan Zhao, Rui Yan
2024	J	`jnl`	MsFfTsGP: Multi-source features-fused two-stage grade prediction of zinc tailings in lead-zinc flotation process via multi-stream 3D convolution with attention mechanism. Eng. Appl. Artif. Intell. Pengfei Xu, Lekang Tian, Jinping Liu, Di Luo, Hadi Jahanshahi
2024	A*	`conf`	QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation. NeurIPS Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljacic
2024	J	`jnl`	QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation. CoRR Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljacic
2024	—	`conf`	Research on Parameter Identification Method for Robotic Manipulators Joint Friction Model Based on PINN. AIM Di Luo, Zhiqin Cai, Da Jiang, Haijun Peng
2024	A*	`conf`	SciCode: A Research Coding Benchmark Curated by Scientists. NeurIPS Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng
2024	J	`jnl`	SciCode: A Research Coding Benchmark Curated by Scientists. CoRR Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng
2024	J	`jnl`	Stochastic logic in biased coupled photonic probabilistic bits. CoRR Michael Horodynski, Charles Roques-Carmes, Yannick Salamin, Seou Choi, Jamison Sloan, Di Luo, Marin Soljacic
2024	A*	`conf`	TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision. ICML Zhuo Chen, Jacob McCarran, Esteban Vizcaino, Marin Soljacic, Di Luo
2024	J	`jnl`	TENG: Time-Evolving Natural Gradient for Solving PDEs with Deep Neural Net. CoRR Zhuo Chen, Jacob McCarran, Esteban Vizcaino, Marin Soljacic, Di Luo
2024	J	`jnl`	TradingAgents: Multi-Agents LLM Financial Trading Framework. CoRR Yijia Xiao, Edward Sun, Di Luo, Wei Wang
2024	J	`jnl`	Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic. Quantum Andi Gu, Hong-Ye Hu, Di Luo, Taylor L. Patti, Nicholas C. Rubin, Susanne F. Yelin
2023	J	`jnl`	A novel inverted T-shaped negative capacitance TFET for label-free biosensing application. Microelectron. J. Di Luo, Cong Li, Yun-qi Wang, Ouwen Li, Feng-yu Kuang, Hailong You
2023	A*	`conf`	ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation. NeurIPS Zhuo Chen, Laker Newhouse, Eddie Chen, Di Luo, Marin Soljacic
2023	J	`jnl`	Artificial intelligence for artificial materials: moiré atom. CoRR Di Luo, Aidan P. Reddy, Trithep Devakul, Liang Fu
2023	J	`jnl`	Autoregressive Neural TensorNet: Bridging Neural Networks and Tensor Networks for Quantum Many-Body Simulation. CoRR Zhuo Chen, Laker Newhouse, Eddie Chen, Di Luo, Marin Soljacic
2023	—	`conf`	Causality-Guided Multi-Memory Interaction Network for Multivariate Stock Price Movement Prediction. ACL (1) Di Luo, Weiheng Liao, Shuqi Li, Xin Cheng, Rui Yan
2023	J	`jnl`	Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. CoRR Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang
2023	J	`jnl`	GenPhys: From Physical Processes to Generative Models. CoRR Ziming Liu, Di Luo, Yilun Xu, Tommi S. Jaakkola, Max Tegmark
2023	J	`jnl`	Geometry of contact: contact planning for multi-legged robots via spin models duality. CoRR Baxi Chong, Di Luo, Tianyu Wang, Gabriel B. Margolis, Juntao He, Pulkit Agrawal, Marin Soljacic, Daniel I. Goldman
2023	J	`jnl`	Infinite neural network quantum states: entanglement and training dynamics. Mach. Learn. Sci. Technol. Di Luo, James Halverson
2023	J	`jnl`	Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory. CoRR Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, Rui Yan
2023	A*	`conf`	Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory. NeurIPS Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, Rui Yan
2023	—	`conf`	Lower Risks, Better Choices: Stock Correlation Based Portfolio Selection in Stock Markets. WWW (Companion Volume) Di Luo, Weiheng Liao, Rui Yan
2023	—	`conf`	Multimodal Conditional VAE for Zero-Shot Real-World Event Discovery. ADMA (2) Zhuopan Yang, Di Luo, Jiuxiang You, Zhiwei Guo, Zhenguo Yang
2023	J	`jnl`	Pairing-based graph neural network for simulating quantum materials. CoRR Di Luo, David D. Dai, Liang Fu
2023	A*	`conf`	Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows. ICML Owen M. Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic
2023	J	`jnl`	Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows. CoRR Owen Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic
2023	A*	`conf`	QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning. NeurIPS Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic
2023	—	`conf`	Unsupervised Domain Adaptation for 3D Object Detection via Self-Training. PRCV (2) Di Luo
2022	J	`jnl`	A GaN Driver for a Bi-Directional Buck/Boost Converter With Three-Level V IEEE Trans. Circuits Syst. I Regul. Pap. Di Luo, Yuan Gao, Philip K. T. Mok
2022	J	`jnl`	Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation. CoRR Di Luo, Shunyue Yuan, James Stokes, Bryan K. Clark
2022	J	`jnl`	Koopman Operator learning for Accelerating Quantum Optimization and Machine Learning. CoRR Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic
2022	J	`jnl`	Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions. CoRR Zhuo Chen, Di Luo, Kaiwen Hu, Bryan K. Clark
2021	J	`jnl`	A dense map optimization method based on common-view geometry. Signal Image Video Process. Luomin Jiang, Congqing Wang, Di Luo
2021	—	`conf`	Dilated Residual Aggregation Network for Text-Guided Image Manipulation. ICANN (3) Siwei Lu, Di Luo, Zhenguo Yang, Tianyong Hao, Qing Li, Wenyin Liu
2021	J	`jnl`	Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models. CoRR Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
2021	J	`jnl`	Infinite Neural Network Quantum States. CoRR Di Luo, James Halverson
2021	—	`conf`	Interactive Pose Attention Network for Human Pose Transfer. WISE (2) Di Luo, Guipeng Zhang, Zhenguo Yang, Minzheng Yuan, Tao Tao, Liangliang Xu, Qing Li, Wenyin Liu
2021	J	`jnl`	Spacetime Neural Network for High Dimensional Quantum Dynamics. CoRR Jiangran Wang, Zhuo Chen, Di Luo, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
2020	J	`jnl`	Gauge equivariant neural networks for quantum lattice gauge theories. CoRR Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes
2019	Misc	`conf`	Design and Implementation of Security System for IPv6 Sensor Networks. CISIS Di Luo, Hao Wang, Shengwei Yi, Qiao Wang
2019	J	`jnl`	Systematic evaluation of the mechanisms of zoledronic acid based on network pharmacology. Comput. Biol. Chem. Xue-Zhen Liang, Rui Li, Bo Xu, Di Luo, Guang-Bo Liu, Jiang Peng, Gang Li
2013	—	`conf`	Link Quality Based Orthogonal Sniffing Movement Algorithm towards Mobile Sink. CWSN Jian Shu, Xiaotian Geng, Gang Hu, Di Luo, Linlan Liu
2010	—	`conf`	A Dynamical Extension Framework Supporting for Personalized Information Portal. ICEE Ning-Jiang Chen, Li-Li Zhang, Di Luo
2010	J	`jnl`	PMirP: A pre-microRNA prediction method based on structure-sequence hybrid features. Artif. Intell. Medicine Dongyu Zhao, Yan Wang, Di Luo, Xiaohu Shi, Liupu Wang, Dong Xu, Jun Yu, Yanchun Liang
2008	—	`conf`	Conditional Delegation Model Based on Weighted Roles for Workflow. ICYCS Jian Zhang, Niya Li, Di Luo, Lili He, Chengquan Hu