Performance analysis for matrix-multiplication based on an heterogeneous multi-core SoC. - Yu-Kun Song; Rui Jiao; Duoli Zhang; Dongxue Gao (ASICON, 2015)

Research on Emotional Classification of EEG Based on Convolutional Neural Network. - Huiping Jiang; Zequn Wang; Rui Jiao; Mei Chen (BIC-TA (2), 2019)

IEye: Personalized Image Privacy Detection. - Rui Jiao; Lan Zhang 002; Anran Li 001 (BigCom, 2020)

Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks. - Ping Liu; Haowen Xu; Qianyu Ouyang; Rui Jiao; Zhekang Chen; Shenglin Zhang; Jiahai Yang; Linlin Mo; Jice Zeng; Wenman Xue; Dan Pei (ISSRE, 2020)

Ground Truth Dataset for EEG-Based Emotion Recognition With Visual Indication. - Guosheng Yang; Rui Jiao; Huiping Jiang; Ting Zhang (IEEE Access, 2020)

Alternated Training with Synthetic and Authentic Data for Neural Machine Translation. - Rui Jiao; Zonghan Yang; Maosong Sun 001; Yang Liu 005 (ACL/IJCNLP (Findings), 2021)

Cross-Domain Text Classification Based on BERT Model. - Kuan Zhang; Xinhong Hei 001; Rong Fei; Yufan Guo; Rui Jiao (DASFAA (Workshops), 2021)

Optimization Strategy for Time-Of-Use Tariffs on the Electricity Generation-Sales Side Considering Customer Demand Response. - Zhuoran Kang; Rongheng Lin; Hua Zou; Xiaowei Liu; Rui Jiao (HPCC/DSS/SmartCity/DependSys, 2021)

Practical Root Cause Localization for Microservice Systems via Trace Analysis. - Zeyan Li; Junjie Chen 003; Rui Jiao; Nengwen Zhao; Zhijun Wang; Shuwei Zhang; Yanjun Wu; Long Jiang; Leiqin Yan; Zikai Wang; Zhekang Chen; Wenchi Zhang; et al. (IWQoS, 2021)

Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding. - Zhihan Li; Youjian Zhao; Jiaqi Han; Ya Su; Rui Jiao; Xidao Wen; Dan Pei (KDD, 2021)

Construction and Analysis of Emotion Computing Model Based on LSTM. - Huiping Jiang; Rui Jiao; Zequn Wang; Ting Zhang; Licheng Wu (Complex., 2021)

Analytical Comparison of Two Emotion Classification Models Based on Convolutional Neural Networks. - Huiping Jiang; Demeng Wu; Rui Jiao; Zongnan Wang (Complex., 2021)

3D Equivariant Molecular Graph Pretraining. - Rui Jiao; Jiaqi Han; Wenbing Huang 001; Yu Rong 001; Yang Liu 005 (CoRR, 2022)

Interpretable Graph Transformer Network for Predicting Adsorption Isotherms of Metal-Organic Frameworks. - Pin Chen; Rui Jiao; Jinyu Liu; Yang Liu 005; Yutong Lu (J. Chem. Inf. Model., 2022)

Finite-time lag projective synchronization of nonidentical fractional delayed memristive neural networks. - Guan Wang; Zhixia Ding; Sai Li 002; Le Yang; Rui Jiao (J. Frankl. Inst., 2022)

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. - Rui Jiao; Jiaqi Han; Wenbing Huang 001; Yu Rong 001; Yang Liu 005 (AAAI, 2023)

Study on the Effect of Virtual Landscape on Stress Relief of College Students. - Bagen Wuyun; Yiguo Cui; Rui Jiao; Zhuorao Wei; Yi Chen; Li Lu (BIC, 2023)

Crystal Structure Prediction by Joint Equivariant Diffusion. - Rui Jiao; Wenbing Huang 001; Peijia Lin; Jiaqi Han; Pin Chen; Yutong Lu; Yang Liu 005 (NeurIPS, 2023)

Space Group Constrained Crystal Generation. - Rui Jiao; Wenbing Huang 001; Yu Liu; Deli Zhao; Yang Liu 005 (ICLR, 2024)

Equivariant Diffusion for Crystal Structure Prediction. - Peijia Lin; Pin Chen; Rui Jiao; Qing Mo; Jianhuan Cen; Wenbing Huang 001; Yang Liu 005; Dan Huang 001; Yutong Lu (ICML, 2024)

Learning Superconductivity from Ordered and Disordered Material Structures. - Pin Chen; Luoxuan Peng; Rui Jiao; Qing Mo; Zhen Wang 036; Wenbing Huang 001; Yang Liu 005; Yutong Lu (NeurIPS, 2024)

3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization. - Rui Jiao; Xiangzhe Kong; Wenbing Huang 001; Yang Liu 005 (NeurIPS, 2024)

Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules. - Rui Jiao; Xiangzhe Kong; Ziyang Yu 002; Wenbing Huang 001; Yang Liu 005 (CoRR, 2024)

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. - Jiaqi Han; Jiacheng Cen; Liming Wu; Zongzhao Li; Xiangzhe Kong; Rui Jiao; Ziyang Yu 002; Tingyang Xu; Fandi Wu; Zihe Wang; Hongteng Xu; Zhewei Wei; et al. (CoRR, 2024)

DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training. - Yurou Liu; Jiahao Chen; Rui Jiao; Jiangmeng Li; Wenbing Huang 001; Bing Su 001 (ICLR, 2025)

A 43 µm × 269 µm, Light-Tolerant and Power-Adaptive Forward-Bulk Optoelectrical Microsystem for Tetherless Neural Recording. - Rui Jiao; Yumin Zheng; Shahaboddin Ghajari; Sanaz Sadeghi; Alejandro J. Cortese; Paul L. McEuen; Alyosha C. Molnar; Sunwoo Lee 002 (ISCAS, 2025)

Siamese Foundation Models for Crystal Structure Prediction. - Liming Wu; Wen-bing Huang 001; Rui Jiao; Jianxing Huang; Liwei Liu; Yipeng Zhou; Hao Sun 002; Yang Liu 005; Fuchun Sun 001; Yuxiang Ren; Jirong Wen (CoRR, 2025)

UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design. - Xiangzhe Kong; Zishen Zhang; Ziting Zhang; Rui Jiao; Jianzhu Ma; Kai Liu; Wenbing Huang 001; Yang Liu 005 (CoRR, 2025)

Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey. - Zhixun Li; Bin Cao; Rui Jiao; Liang Wang 056; Ding Wang; Yang Liu 003; Dingshuo Chen; Jia Li 009; Qiang Liu 006; Yu Rong 001; Liang Wang 001; Tong-yi Zhang; et al. (CoRR, 2025)

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints. - Dapeng Jiang; Xiangzhe Kong; Jiaqi Han; Mingyu Li; Rui Jiao; Wenbing Huang 001; Stefano Ermon; Jianzhu Ma; Yang Liu 005 (CoRR, 2025)

Trustworthy Reasoning: Evaluating and Enhancing Factual Accuracy in LLM Intermediate Thought Processes. - Rui Jiao; Yue Zhang; Jinku Li (CoRR, 2025)

A survey of geometric graph neural networks: data structures, models and applications. - Jiaqi Han; Jiacheng Cen; Liming Wu; Zongzhao Li; Xiangzhe Kong; Rui Jiao; Ziyang Yu 002; Tingyang Xu; Fandi Wu; Zihe Wang; Hongteng Xu; Zhewei Wei; et al. (Frontiers Comput. Sci., 2025)