Conditional Delegation Model Based on Weighted Roles for Workflow. - Jian Zhang; Niya Li; Di Luo; Lili He 002; Chengquan Hu (ICYCS, 2008)

A Dynamical Extension Framework Supporting for Personalized Information Portal. - Ning-jiang Chen; Li-li Zhang; Di Luo (ICEE, 2010)

PMirP: A pre-microRNA prediction method based on structure-sequence hybrid features. - Dongyu Zhao; Yan Wang 028; Di Luo; Xiaohu Shi; Liupu Wang; Dong Xu 002; Jun Yu; Yanchun Liang 001 (Artif. Intell. Medicine, 2010)

Link Quality Based Orthogonal Sniffing Movement Algorithm towards Mobile Sink. - Jian Shu 002; Xiaotian Geng; Gang Hu; Di Luo; Linlan Liu (CWSN, 2013)

Design and Implementation of Security System for IPv6 Sensor Networks. - Di Luo; Hao Wang; Shengwei Yi; Qiao Wang (CISIS, 2019)

Systematic evaluation of the mechanisms of zoledronic acid based on network pharmacology. - Xue-Zhen Liang; Rui Li; Bo Xu; Di Luo; Guang-Bo Liu; Jiang Peng; Gang Li 026 (Comput. Biol. Chem., 2019)

Gauge equivariant neural networks for quantum lattice gauge theories. - Di Luo; Giuseppe Carleo; Bryan K. Clark; James Stokes (CoRR, 2020)

Dilated Residual Aggregation Network for Text-Guided Image Manipulation. - Siwei Lu; Di Luo; Zhenguo Yang; Tianyong Hao; Qing Li 001; Wenyin Liu (ICANN (3), 2021)

Interactive Pose Attention Network for Human Pose Transfer. - Di Luo; Guipeng Zhang; Zhenguo Yang; Minzheng Yuan; Tao Tao; Liangliang Xu; Qing Li 001; Wenyin Liu (WISE (2), 2021)

Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models. - Di Luo; Zhuo Chen; Kaiwen Hu; Zhizhen Zhao 001; Vera Mikyoung Hur; Bryan K. Clark (CoRR, 2021)

Spacetime Neural Network for High Dimensional Quantum Dynamics. - Jiangran Wang; Zhuo Chen; Di Luo; Zhizhen Zhao 001; Vera Mikyoung Hur; Bryan K. Clark (CoRR, 2021)

Infinite Neural Network Quantum States. - Di Luo; James Halverson (CoRR, 2021)

A dense map optimization method based on common-view geometry. - Luomin Jiang; Congqing Wang; Di Luo (Signal Image Video Process., 2021)

Koopman Operator learning for Accelerating Quantum Optimization and Machine Learning. - Di Luo; Jiayu Shen; Rumen Dangovski; Marin Soljacic (CoRR, 2022)

Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation. - Di Luo; Shunyue Yuan; James Stokes; Bryan K. Clark (CoRR, 2022)

Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions. - Zhuo Chen; Di Luo; Kaiwen Hu; Bryan K. Clark (CoRR, 2022)

A GaN Driver for a Bi-Directional Buck/Boost Converter With Three-Level VGS Protection and Optimal-Point Tracking Dead-Time Control. - Di Luo; Yuan Gao 002; Philip K. T. Mok (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Causality-Guided Multi-Memory Interaction Network for Multivariate Stock Price Movement Prediction. - Di Luo; Weiheng Liao; Shuqi Li; Xin Cheng 002; Rui Yan 001 (ACL (1), 2023)

Multimodal Conditional VAE for Zero-Shot Real-World Event Discovery. - Zhuopan Yang; Di Luo; Jiuxiang You; Zhiwei Guo; Zhenguo Yang (ADMA (2), 2023)

Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows. - Owen M. Dugan; Peter Y. Lu; Rumen Dangovski; Di Luo; Marin Soljacic (ICML, 2023)

ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation. - Zhuo Chen; Laker Newhouse; Eddie Chen; Di Luo; Marin Soljacic (NeurIPS, 2023)

Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory. - Xin Cheng 002; Di Luo; Xiuying Chen; Lemao Liu; Dongyan Zhao 001; Rui Yan 001 (NeurIPS, 2023)

QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning. - Di Luo; Jiayu Shen; Rumen Dangovski; Marin Soljacic (NeurIPS, 2023)

Unsupervised Domain Adaptation for 3D Object Detection via Self-Training. - Di Luo (PRCV (2), 2023)

Lower Risks, Better Choices: Stock Correlation Based Portfolio Selection in Stock Markets. - Di Luo; Weiheng Liao; Rui Yan 001 (WWW (Companion Volume), 2023)

Geometry of contact: contact planning for multi-legged robots via spin models duality. - Baxi Chong; Di Luo; Tianyu Wang 010; Gabriel B. Margolis; Juntao He; Pulkit Agrawal 001; Marin Soljacic; Daniel I. Goldman (CoRR, 2023)

Artificial intelligence for artificial materials: moiré atom. - Di Luo; Aidan P. Reddy; Trithep Devakul; Liang Fu (CoRR, 2023)

Autoregressive Neural TensorNet: Bridging Neural Networks and Tensor Networks for Quantum Many-Body Simulation. - Zhuo Chen; Laker Newhouse; Eddie Chen; Di Luo; Marin Soljacic (CoRR, 2023)

GenPhys: From Physical Processes to Generative Models. - Ziming Liu; Di Luo; Yilun Xu; Tommi S. Jaakkola; Max Tegmark (CoRR, 2023)

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. - Yingpeng Du; Di Luo; Rui Yan 001; Hongzhi Liu 001; Yang Song 021; Hengshu Zhu; Jie Zhang 002 (CoRR, 2023)

Pairing-based graph neural network for simulating quantum materials. - Di Luo; David D. Dai; Liang Fu (CoRR, 2023)

A novel inverted T-shaped negative capacitance TFET for label-free biosensing application. - Di Luo; Cong Li; Yun-qi Wang; Ouwen Li; Feng-yu Kuang; Hailong You (Microelectron. J., 2023)

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. - Yingpeng Du; Di Luo; Rui Yan 001; Xiaopei Wang; Hongzhi Liu 001; Hengshu Zhu; Yang Song 021; Jie Zhang 002 (AAAI, 2024)

Research on Parameter Identification Method for Robotic Manipulators Joint Friction Model Based on PINN. - Di Luo; Zhiqin Cai; Da Jiang; Haijun Peng (AIM, 2024)

TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision. - Zhuo Chen; Jacob McCarran; Esteban Vizcaino; Marin Soljacic; Di Luo (ICML, 2024)

QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation. - Zhuo Chen; Rumen Dangovski; Charlotte Loh; Owen Dugan; Di Luo; Marin Soljacic (NeurIPS, 2024)

SciCode: A Research Coding Benchmark Curated by Scientists. - 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; et al. (NeurIPS, 2024)

Correlation-aware Encoder-Decoder with Adapters for SVBRDF Acquisition. - Di Luo; Hanxiao Sun; Lei Ma 008; Jian Yang 003; Beibei Wang 002 (SIGGRAPH Asia, 2024)

Entangling Intelligence: AI-Quantum Crossovers and Perspectives. - Zhuo Chen; Di Luo (TPS-ISA, 2024)

TENG: Time-Evolving Natural Gradient for Solving PDEs with Deep Neural Net. - Zhuo Chen; Jacob McCarran; Esteban Vizcaino; Marin Soljacic; Di Luo (CoRR, 2024)

Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers. - Xin Cheng 002; Xiuying Chen; Shuqi Li; Di Luo; Xun Wang 012; Dongyan Zhao 001; Rui Yan 001 (CoRR, 2024)

Stochastic logic in biased coupled photonic probabilistic bits. - Michael Horodynski; Charles Roques-Carmes; Yannick Salamin; Seou Choi; Jamison Sloan; Di Luo; Marin Soljacic (CoRR, 2024)

SciCode: A Research Coding Benchmark Curated by Scientists. - 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; et al. (CoRR, 2024)

TradingAgents: Multi-Agents LLM Financial Trading Framework. - Yijia Xiao; Edward Sun; Di Luo; Wei Wang (CoRR, 2024)

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. - Pengfei Xu 007; Lekang Tian; Jinping Liu; Di Luo; Hadi Jahanshahi (Eng. Appl. Artif. Intell., 2024)

Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic. - Andi Gu; Hong-Ye Hu; Di Luo; Taylor L. Patti; Nicholas C. Rubin; Susanne F. Yelin (Quantum, 2024)

Development of a multichannel hand-adaptive tactile stimulation device for somatotopic map of human hand in somatosensory cortex with fMRI. - Yutong Wang; Di Luo; Lihua Ma; Luyao Wang; Jinglong Wu; Jian Zhang; Tianyi Yan (NeuroImage, 2025)

Hamiltonian Learning at Heisenberg Limit for Hybrid Quantum Systems. - Lixing Zhang; Ze-Xun Lin; Prineha Narang; Di Luo (CoRR, 2025)

L2M: Mutual Information Scaling Law for Long-Context Language Modeling. - Zhuo Chen; Oriol Mayné i Comas; Zhuotao Jin; Di Luo; Marin Soljacic (CoRR, 2025)

Advancing AI-Scientist Understanding: Making LLM Think Like a Physicist with Interpretable Reasoning. - Yinggan Xu; Hana Kimlee; Yijia Xiao; Di Luo (CoRR, 2025)

MagicNet: Memory-Aware Graph Interactive Causal Network for Multivariate Stock Price Movement Prediction. - Di Luo; Shuqi Li; Weiheng Liao; Rui Yan 001 (IEEE Trans. Knowl. Data Eng., 2025)

Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise. - Lucas Tecot; Di Luo; Cho-Jui Hsieh (CoRR, 2025)

PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models. - Yinggan Xu; Yue Liu; Zhiqiang Gao; Changnan Peng; Di Luo (CoRR, 2025)

Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material. - Team Hunyuan3D; Shuhui Yang; Mingxin Yang; Yifei Feng; Xin Huang; Sheng Zhang; Zebin He; Di Luo; Haolin Liu; Yunfei Zhao; Qingxiang Lin; Zeqiang Lai; et al. (CoRR, 2025)

Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details. - Zeqiang Lai; Yunfei Zhao; Haolin Liu; Zibo Zhao; Qingxiang Lin; Huiwen Shi; Xianghui Yang; Mingxin Yang; Shuhui Yang; Yifei Feng; Sheng Zhang; Xin Huang; et al. (CoRR, 2025)