An efficient antenna placement method for MIMO radar under the situation of multiple interference regions. - Jiadong Liang; Tianxian Zhang; Yichuan Yang; Guolong Cui; Lingjiang Kong; Xiaobo Yang; Jianyu Yang 001 (FUSION, 2017)

Antenna Deployment Method for MIMO Radar under the Situation of Multiple Interference Regions. - Tianxian Zhang; Jiadong Liang; Yichuan Yang; Guolong Cui; Lingjiang Kong; Xiaobo Yang (CoRR, 2017)

Antenna deployment method for multistatic radar under the situation of multiple regions for interference. - Tianxian Zhang; Jiadong Liang; Yichuan Yang; Guolong Cui; Lingjiang Kong; Xiaobo Yang (Signal Process., 2018)

Lipschitz Generative Adversarial Nets. - Zhiming Zhou 001; Jiadong Liang; Yuxuan Song; Lantao Yu; Hongwei Wang 004; Weinan Zhang 001; Yong Yu 001; Zhihua Zhang 004 (ICML, 2019)

CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis. - Jiadong Liang; Wenjie Pei; Feng Lu 005 (CoRR, 2019)

CPGAN: Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis. - Jiadong Liang; Wenjie Pei; Feng Lu 005 (ECCV (4), 2020)

Intervention Generative Adversarial Networks. - Jiadong Liang; Liangyu Zhang; Cheng Zhang; Zhihua Zhang (CoRR, 2020)

Statistical Estimation and Inference via Local SGD in Federated Learning. - Xiang Li 050; Jiadong Liang; Xiangyu Chang; Zhihua Zhang 004 (CoRR, 2021)

A Semi-Parametric Method for Text-to-Image Synthesis from Prior Knowledge. - Jiadong Liang (ACAI, 2022)

Statistical Estimation and Online Inference via Local SGD. - Xiang Li 050; Jiadong Liang; Xiangyu Chang; Zhihua Zhang 004 (COLT, 2022)

Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective. - Jiadong Liang; Yuze Han; Xiang Li 050; Zhihua Zhang 004 (NeurIPS, 2022)

Reconstructing 3D Virtual Face with Eye Gaze from a Single Image. - Jiadong Liang; Yunfei Liu 001; Feng Lu 005 (VR, 2022)

A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning. - Xiang Li 050; Wenhao Yang; Jiadong Liang; Zhihua Zhang 004; Michael I. Jordan (AISTATS, 2023)

Complete Asymptotic Analysis for Projected Stochastic Approximation and Debiased Variants. - Jiadong Liang; Yuze Han; Xiang Li 050; Zhihua Zhang 004 (Allerton, 2023)

Estimation and Inference in Distributional Reinforcement Learning. - Liangyu Zhang; Yang Peng; Jiadong Liang; Wenhao Yang; Zhihua Zhang 004 (CoRR, 2023)

Layout-Bridging Text-to-Image Synthesis. - Jiadong Liang; Wenjie Pei; Feng Lu 005 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Audio-Driven Talking Face Video Generation with Emotion. - Jiadong Liang; Feng Lu (VR Workshops, 2024)

Emotional Conversation: Empowering Talking Faces with Cohesive Expression, Gaze and Pose Generation. - Jiadong Liang; Feng Lu (CoRR, 2024)

Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximation. - Chuhan Xie; Kaicheng Jin; Jiadong Liang; Zhihua Zhang (CoRR, 2024)

Multi-perspective feature collaborative perception learning network for non-destructive detection of pavement defects. - Jiadong Liang; Guoyan Li; Zeshuai Liu (Digit. Signal Process., 2024)

Low-dimensional adaptation of diffusion models: Convergence in total variation (extended abstract). - Jiadong Liang; Zhihan Huang; Yuxin Chen (COLT, 2025)

Low-dimensional adaptation of diffusion models: Convergence in total variation. - Jiadong Liang; Zhihan Huang; Yuxin Chen (CoRR, 2025)