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ORCIDJing Liu 0009
Person information
- affiliation: University of California, San Diego, Department of Electrical and Computer Engineering, CA, USA
Other persons with the same name
- Jing Liu — disambiguation page
- Jing Liu 0001
![[0000-0003-0903-9131]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0003-0903-9131")
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China - Jing Liu 0002 — Tianjin University, School of Electrical and Information Engineering, China (and 1 more)
- Jing Liu 0003 — Inner Mongolia University, College of Computer Science, Hohhot, China (and 1 more)
- Jing Liu 0004 — Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China
- Jing Liu 0005 — Tianjin University, School of Precision Instruments and Opto-Electronics Engineering, China (and 1 more)
- Jing Liu 0006 — Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China (and 3 more)
- Jing Liu 0007 — Xi'an University of Technology, Faculty of Computer Science and Engineering, China
- Jing Liu 0008 — TU Dortmund University, Robotics Research Institute, Germany
- Jing Liu 0010 — Nankai University, Nankai-Baidu Joint Laboratory, College of IT, Tianjin, China
- Jing Liu 0011 — Xi'an JiaoTong University, School of Electronics and Information Engineering, China (and 1 more)
- Jing Liu 0012 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China
- Jing Liu 0013 — Peking University, School of Software and Microelectronics / School of Electronics Engineering and Computer Science, Beijing, China
- Jing Liu 0014 — Tsinghua University, School of Medicine, Department of Biomedical Engineering, Beijing, China
- Jing Liu 0015 — Beijing University of Posts and Telecommunications, School of Information and Communications Engineering, China
- Jing Liu 0016 — Chinese University of Hong Kong, Future Network of Intelligence Institute, Shenzhen, China (and 1 more)
- Jing Liu 0017 — Donghua University, School of Information Science and Technology, Shanghai, China
- Jing Liu 0018 — Xi'an University of Posts and Telecommunications, School of Electronic Engineering, Xi'an, China (and 1 more)
- Jing Liu 0019 — Lehigh University, Department of Electrical and Computer Engineering, Bethlehem, PA, USA
- Jing Liu 0020 — Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Jing Liu 0021 — University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, Netherlands (and 1 more)
- Jing Liu 0022 — Baidu Inc., Beijing, China (and 2 more)
- Jing Liu 0023 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China (and 1 more)
- Jing Liu 0024 — George Mason University, Fairfax, VA, USA (and 1 more)
- Jing Liu 0025 — Southern Yangtze University, School of Information Technology, Wuxi, China
- Jing Liu 0026 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, Canada (and 1 more)
- Jing Liu 0027 — University of Alabama, Department of Computer Science, Tuscaloosa, AL, USA
- Jing Liu 0028 — Beijing University of Technology, College of Computer Science, China
- Jing Liu 0029 — University of New South Wales, School of Engineering and Information Technology, Canberra, Australia (and 1 more)
- Jing Liu 0030 — Capital Normal University, Department of Educational Technology, Beijing, China
- Jing Liu 0031 — East China Normal University, Multimedia and Computer Vision Lab, Shanghai, China
- Jing Liu 0032 — Wuhan University of Science and Technology, College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China (and 1 more)
- Jing Liu 0033 — Wuhan University, School of Computer / State Key Laboratory of Software Engineering, China
- Jing Liu 0034 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Jing Liu 0035 — Chinese Academy of Sciences, Institute of Microelectronics, Laboratory of Microelectronics Devices and Integrated Technology, Beijing, China
- Jing Liu 0036 — Zhengzhou Information Science and Technology Institute, China
- Jing Liu 0037 — University of Copenhagen, Department of Food Science, Denmark
- Jing Liu 0038 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Jing Liu 0039 — Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning / IDG/McGovern Institute of Brain Research / Center for Collaboration and Innovation in Brain and Learning Sciences, China
- Jing Liu 0040 — Jilin University, MoE Key Laboratory of Bionic Engineering, Changchun, China
- Jing Liu 0041 — Hainan University, School of Information and Communication Engineering / State Key Laboratory of Marine Resource Utilization in the South China Sea, Haikou, China (and 1 more)
- Jing Liu 0042 — Tianjin University, School of Precision Instruments and Opto-Electronic Engineering, China
- Jing Liu 0043 — Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Jing Liu 0044 — Zhejiang University School of Medicine, Second Affiliated Hospital, Hangzhou, China
- Jing Liu 0045 — Soochow University, School of Electronic and Information Engineering, Suzhou, China
- Jing Liu 0046 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China (and 1 more)
- Jing Liu 0047 — Beijing University of Technology, Beijing Laboratory of Smart Environmental Protection / Beijing Key Laboratory of Computational Intelligence and Intelligent System / Beijing Artificial Intelligence Institute, China
- Jing Liu 0048 — ByteDance Inc., USA (and 2 more)
- Jing Liu-Zeng (aka: Jing Liu 0049) — Tianjin University, Institute of Surface-Earth System Science, School of Earth System Science, China (and 1 more)
- Jing Liu 0050 — Fudan University, Academy for Engineering and Technology, Shanghai, China
- Jing Liu 0051 — Xi'an University of Technology, Department of Electronic Engineering, China
- Jing Liu 0052 — Uppsala University, Sweden
- Jing Liu 0053 — University of California, Santa Cruz, USA
- Jing Liu 0054 — Chinese Academy of Sciences, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Beijing, China
- Jing Liu 0055 — Chinese Academy of Sciences, Institute of Electrical Engineering, Beijing, China (and 1 more)
- Jing Liu 0056 — Hong Kong Baptist University, Department of Accountancy, Economics and Finance, Hong Kong
- Jing Liu 0057 — Changsha University of Science and Technology, School of Mathematics and Statistics, China
- Jing Liu 0058 — Anhui Jianzhu University, School of Electronic and Information Engineering, China
- Jing Liu 0059 — Beijing University of Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology, China
- Jing Liu 0060 — Peking University, Institute of Mental Health, Beijing, China
- Jing Liu 0061 — Automotive Data of China (Tianjin) Co., Ltd., China
- Jing Liu 0062 — Beijing IrisKing Company Ltd., China (and 1 more)
- Jing Liu 0063 — Yanshan University, School of Information Science and Engineering, Hebei Key Laboratory of Information Transmission and Signal Processing, Qinhuangdao, China
- Jing Liu 0064 — University of Maryland, College Park, MD, USA
- Jing Liu 0065 — State Grid Hunan Electric Power Co., Ltd., China
- Jing Liu 0066 — Hebei University of Technology, School of Artificial Intelligence, State Key Laboratory of High Performance Roll Materials and Composite Forming, Tianjin, China (and 1 more)
- Jing Liu 0067 — Henan Normal University, School of Computer and Information Engineering, Xinxiang, China
- Jing Liu 0068 — Taishan University, School of Information Science and Technology, Taian, China
- Jing Liu 0069 — ShanghaiTech University, School of Information Science and Technology, China
- Jing Liu 0070 — Shandong Police College, Jinan, China (and 1 more)
- Jing Liu 0071 — Sichuan University, School of Public Administration, China (and 1 more)
- Jing Liu 0072 — China University of Petroleum, College of Mechanical and Electrical Engineering, Qingdao, China (and 1 more)
- Jing Liu 0073 — Shandong University, School of Space Science and Physics, Weihai, China
- Jing Liu 0074 — Microsoft Research Asia, China (and 1 more)
- Jing Liu 0075 — Saint-Petersburg State University, Russia
- Jing Liu 0076 — Tsinghua University, Department of Biomedical Engineering, Beijing, China (and 1 more)
- Jing Liu 0077 — Central University of Finance and Economics, School of Statistics and Mathematics, Beijing, China
- Jing Liu 0078 — Gansu University of Traditional Chinese Medicine, School of Information Engineering, Lanzhou, China
- Jing Liu 0079 — Qingdao University School of Medicine, Yuhuangding Hospital, Yantai, China
- Jing Liu 0080 — Capital Medical University, Beijing Chest Hospital, China
- Jing Liu 0081 — University of Alberta, Edmonton, Alberta, Canada
- Jing Liu 0082 — Huawei Technologies, Shenzhen, China
- Jing Liu 0083 — Shanghai Jiao Tong University, Shanghai, China
- Jing Liu 0084 — South China University of Technology, Guangzhou, China
- Jing Liu 0085 — Xi'an Jiaotong University, Xi'an, China
- Jing Liu 0086 — Huazhong University of Science and Technology, Wuhan, Hubei, China
- Jing Liu 0087 — Huazhong University of Science and Technology, Wuhan, China
- Jing Liu 0088 — Chengdu Neusoft University, Chengdu, Sichuan, China
- Jing Liu 0089 — Xi'an University of Posts and Telecommunications, China
- Jing Liu 0090 — Hunan Vocational College of Engineering, Changsha, China
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2020 – today
- 2026
[j4]Keshav Bimbraw, Ye Wang, Jing Liu, Toshiaki Koike-Akino:
GPT Sonography: Hand Gesture Decoding From Forearm Ultrasound Images via a Large Vision-Language Model. IEEE Access 14: 70724-70736 (2026)- [c11]Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand:
LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention. AAAI 2026: 22644-22652 - [c10]Ryo Hase, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons, Jumpei Hato:
Evaluating Security Policy Compliance in Infrastructure as Code Generated by Large Language Models. ISDFS 2026: 1-6 - [i23]Kei Suzuki, Jing Liu, Ye Wang, Chiori Hori, Matthew Brand, Diego Romeres, Toshiaki Koike-Akino:
Embedding Morphology into Transformers for Cross-Robot Policy Learning. CoRR abs/2603.00182 (2026) - [i22]Ye Wang, Jing Liu, Toshiaki Koike-Akino:
Directional Embedding Smoothing for Robust Vision Language Models. CoRR abs/2603.15259 (2026) - [i21]Vanshaj Khattar, Md Rafi ur Rashid, Moumita Choudhury, Jing Liu, Toshiaki Koike-Akino, Ming Jin, Ye Wang:
Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities. CoRR abs/2603.15417 (2026) - [i20]Toshiaki Koike-Akino, Jing Liu, Ye Wang:
TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly. CoRR abs/2603.19296 (2026) - [i19]Ye Wang, Jing Liu, Toshiaki Koike-Akino:
Temper and Tilt Lead to SLOP: Reward Hacking Mitigation with Inference-Time Alignment. CoRR abs/2605.13537 (2026) - 2025
- [c9]Md. Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Ye Wang, Shagufta Mehnaz:
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage. AAAI 2025: 20139-20147 - [c8]Ruhan Wang, Ye Wang, Jing Liu, Toshiaki Koike-Akino:
Quantum Diffusion Models for Few-Shot Learning. QC+AI 2025: 46-59 - [i18]Ryo Hase, Md. Rafi Ur Rashid, Ashley Lewis, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang:
Smoothed Embeddings for Robust Language Models. CoRR abs/2501.16497 (2025) - [i17]Ashley Lewis, Michael White, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang:
Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in QA Agents. CoRR abs/2502.19545 (2025) - [i16]Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu Wang, Matthew Brand:
LatentLLM: Attention-Aware Joint Tensor Compression. CoRR abs/2505.18413 (2025) - [i15]Toshiaki Koike-Akino, Jing Liu, Ye Wang:
μ-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts. CoRR abs/2505.18451 (2025) - [i14]Xiangyu Chen, Jing Liu, Ye Wang, Matthew Brand, Pu Wang, Toshiaki Koike-Akino:
TuneComp: Joint Fine-tuning and Compression for Large Foundation Models. CoRR abs/2505.21835 (2025) - [i13]Young Jin Park, François G. Germain, Jing Liu, Ye Wang, Toshiaki Koike-Akino, Gordon Wichern, Navid Azizan, Christopher R. Laughman, Ankush Chakrabarty:
Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models. CoRR abs/2506.00630 (2025) - [i12]Jing Liu, Toshiaki Koike-Akino, Ye Wang, Hassan Mansour, Matthew Brand:
AWP: Activation-Aware Weight Pruning and Quantization with Projected Gradient Descent. CoRR abs/2506.10205 (2025) - 2024
- [c7]Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino:
SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models. BMVC 2024 - [c6]Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley A. Malin, Ye Wang:
Analyzing Inference Privacy Risks Through Gradients In Machine Learning. CCS 2024: 3466-3480 - [c5]Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino:
SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models. CVPR Workshops 2024: 8050-8055 - [c4]Keshav Bimbraw, Jing Liu, Ye Wang, Toshiaki Koike-Akino:
Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals. EMBC 2024: 1-6 - [i11]Andrew Lowy, Zhuohang Li, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang:
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks? CoRR abs/2402.09540 (2024) - [i10]Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino:
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules. CoRR abs/2403.11887 (2024) - [i9]Jing Liu, Andrew Lowy, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang:
Efficient Differentially Private Fine-Tuning of Diffusion Models. CoRR abs/2406.05257 (2024) - [i8]Keshav Bimbraw, Ye Wang, Jing Liu, Toshiaki Koike-Akino:
GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM. CoRR abs/2407.10870 (2024) - [i7]Keshav Bimbraw, Jing Liu, Ye Wang, Toshiaki Koike-Akino:
Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals. CoRR abs/2407.10874 (2024) - [i6]Ryo Hase, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons:
Variational Randomized Smoothing for Sample-Wise Adversarial Robustness. CoRR abs/2407.11844 (2024) - [i5]Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley A. Malin, Ye Wang:
Analyzing Inference Privacy Risks Through Gradients in Machine Learning. CoRR abs/2408.16913 (2024) - [i4]Md. Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Shagufta Mehnaz, Ye Wang:
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage. CoRR abs/2408.17354 (2024) - [i3]Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley A. Malin, Kieran Parsons, Ye Wang:
Exploring User-level Gradient Inversion with a Diffusion Prior. CoRR abs/2409.07291 (2024) - [i2]Ruhan Wang, Ye Wang, Jing Liu, Toshiaki Koike-Akino:
Quantum Diffusion Models for Few-Shot Learning. CoRR abs/2411.04217 (2024) - 2023
- [i1]Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons, Yunus Bicer, Deniz Erdogmus:
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation. CoRR abs/2310.08762 (2023)
2010 – 2019
- 2019
- [j3]Jing Liu, Bhaskar D. Rao:
Robust PCA via ℓ0-ℓ1 Regularization. IEEE Trans. Signal Process. 67(2): 535-549 (2019) - [j2]Jing Liu, Bhaskar D. Rao:
Sparse Bayesian Learning for Robust PCA: Algorithms and Analyses. IEEE Trans. Signal Process. 67(22): 5837-5849 (2019) - [c3]Jing Liu, Yacong Ding, Bhaskar Rao:
Sparse Bayesian Learning for Robust PCA. ICASSP 2019: 4883-4887 - 2018
- [j1]Jing Liu, Pamela C. Cosman, Bhaskar D. Rao:
Robust Linear Regression via ℓ0 Regularization. IEEE Trans. Signal Process. 66(3): 698-713 (2018) - 2017
- [c2]Jing Liu, Pamela C. Cosman, Bhaskar D. Rao:
Sparsity regularized Principal Component Pursuit. ICASSP 2017: 4431-4435 - 2015
- [c1]Jing Liu, Marian Chuang, Andrew D. Chisholm, Pamela C. Cosman:
Image registration robust to sparse large errors. EMBC 2015: 1975-1980
Coauthor Index
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