A practical yield prediction approach using inline defect metrology data for system-on-chip integrated circuits. - Yuting Kong; Dong Ni 002 (CASE, 2017)

Ge CMOS technology with advanced interface and junction engineering. - Yi Zhao; Zejie Zheng; Junkang Li; Dong Ni 002; Rui Zhang 024 (ICICDT, 2018)

Observer and filter design for linear transport-reaction systems. - Junyao Xie; Qingqing Xu; Dong Ni 002; Stevan Dubljevic (Eur. J. Control, 2019)

Learning Visual Context for Group Activity Recognition. - Hangjie Yuan; Dong Ni 002 (AAAI, 2021)

Spatio-Temporal Dynamic Inference Network for Group Activity Recognition. - Hangjie Yuan; Dong Ni 002; Mang Wang (ICCV, 2021)

Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics. - Hangjie Yuan; Mang Wang; Dong Ni 002; Liangpeng Xu (AAAI, 2022)

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection. - Hangjie Yuan; Jianwen Jiang; Samuel Albanie; Tao Feng 014; Ziyuan Huang; Dong Ni 002; Mingqian Tang (NeurIPS, 2022)

Synthesized Multi-GFA Multi-bin Wafer Bin Map Dataset. - Dong Ni 002; Yi Wang (IEEE DataPort, 2022)

RLIPv2: Fast Scaling of Relational Language-Image Pre-training. - Hangjie Yuan; Shiwei Zhang 001; Xiang Wang 012; Samuel Albanie; Yining Pan; Tao Feng 014; Jianwen Jiang; Dong Ni 002; Yingya Zhang; Deli Zhao (ICCV, 2023)

InstructVideo: Instructing Video Diffusion Models with Human Feedback. - Hangjie Yuan; Shiwei Zhang 001; Xiang Wang 012; Yujie Wei 001; Tao Feng 014; Yining Pan; Yingya Zhang; Ziwei Liu 002; Samuel Albanie; Dong Ni 002 (CVPR, 2024)

LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition. - Lingfeng Liu; Dong Ni 002; Hangjie Yuan (ICLR, 2024)

PAPM: A Physics-aware Proxy Model for Process Systems. - Pengwei Liu; Zhongkai Hao; Xingyu Ren; Hangjie Yuan; Jiayang Ren; Dong Ni 002 (ICML, 2024)

From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation. - Ruxue Wen; Hangjie Yuan; Dong Ni 002; Wenbo Xiao; Yaoyao Wu (WACV, 2024)

Optimizing Plasma Etching: Integrating Precise Three-Dimensional Etching Simulation and Machine Learning for Multi-Objective Optimization. - Jianming Guo; Mingqiang Geng; Kun Ren; Dong Ni 002; Dawei Gao (IEEE Access, 2024)

Correlation analysis of sampled wafer profile maps based on a deep reconstruction model. - Yuting Kong; Dong Ni 002 (Appl. Soft Comput., 2024)

A self-supervised learning framework based on masked autoencoder for complex wafer bin map classification. - Yi Wang 169; Dong Ni 002; Zhenyu Huang; Puyang Chen (Expert Syst. Appl., 2024)

A method for real-time optimal heliostat aiming strategy generation via deep learning. - Sipei Wu; Dong Ni 002 (Eng. Appl. Artif. Intell., 2024)

AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries. - Pengwei Liu; Pengkai Wang; Xingyu Ren; Hangjie Yuan; Zhongkai Hao; Chao Xu; Shengze Cai; Dong Ni 002 (AAAI, 2025)

Dynamic real-time aiming strategy optimization of multi-horizons heliostat fields. - Yi'an Wang; Zhe Wu; Dong Ni 002 (Appl. Soft Comput., 2025)

DGNN: A Neural PDE Solver Induced by Discontinuous Galerkin Methods. - Guanyu Chen; Shengze Xu; Dong Ni 002; Tieyong Zeng (CoRR, 2025)