70 citations · 501 across the 62 of their papers we have counts for
63 papers
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network
Jie Wen, Zheng Zhang, Yong Xu +3
In recent years, incomplete multi-view clustering, which studies the challenging multi-view clustering problem on missing views, has received growing research interests. Although a…
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks
Yequan Zhao, Xinling Yu, Zhixiong Chen +3
Backward propagation (BP) is widely used to compute the gradients in neural network training. However, it is hard to implement BP on edge devices due to the lack of hardware and so…
Reinforced Potential Field for Multi-Robot Motion Planning in Cluttered Environments
Dengyu Zhang, Xinyu Zhang, Zheng Zhang +2
Motion planning is challenging for multiple robots in cluttered environments without communication, especially in view of real-time efficiency, motion safety, distributed computati…
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
Yadan Luo, Zhuoxiao Chen, Zhen Fang +3
Achieving a reliable LiDAR-based object detector in autonomous driving is paramount, but its success hinges on obtaining large amounts of precise 3D annotations. Active learning (A…
Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding
Zi Yang, Samridhi Choudhary, Siegfried Kunzmann +1
Fine-tuned transformer models have shown superior performances in many natural language tasks. However, the large model size prohibits deploying high-performance transformer models…
A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels
Yifan Yang, Alec Koppel, Zheng Zhang
Learning with noisy labels is an important topic for scalable training in many real-world scenarios. However, few previous research considers this problem in the online setting, wh…
Position: AI Evaluation Should Learn from How We Test Humans
Yan Zhuang, Qi Liu, Zachary A. Pardos +5
As AI systems continue to evolve, their rigorous evaluation becomes crucial for their development and deployment. Researchers have constructed various large-scale benchmarks to det…
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
Yuqing Yang, Qipeng Guo, Xiangkun Hu +3
Recent works have introduced Abstract Meaning Representation (AMR) for Document-level Event Argument Extraction (Doc-level EAE), since AMR provides a useful interpretation of compl…
Exploiting Abstract Meaning Representation for Open-Domain Question Answering
Cunxiang Wang, Zhikun Xu, Qipeng Guo +4
The Open-Domain Question Answering (ODQA) task involves retrieving and subsequently generating answers from fine-grained relevant passages within a database. Current systems levera…
Simultaneous Wireless Information and Power Transfer in Near-Field Communications
Zheng Zhang, Yuanwei Liu, Zhaolin Wang +2
A near-field simultaneous wireless information and power transfer (SWIPT) network is investigated, where the hybrid beamforming architecture is employed at the base station (BS) fo…
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation
Lei Shi, Tianyu Gao, Zheng Zhang +1
Automated medical image segmentation can assist doctors to diagnose faster and more accurate. Deep learning based models for medical image segmentation have made great progress in…
Side Adapter Network for Open-Vocabulary Semantic Segmentation
Mengde Xu, Zheng Zhang, Fangyun Wei +2
This paper presents a new framework for open-vocabulary semantic segmentation with the pre-trained vision-language model, named Side Adapter Network (SAN). Our approach models the…
Physical Layer Security in Near-Field Communications
Zheng Zhang, Yuanwei Liu, Zhaolin Wang +2
A near-field secure transmission framework is proposed. Employing the hybrid beamforming architecture, a multi-antenna base station (BS) transmits confidential information to a mul…
STARS-ISAC: How Many Sensors Do We Need?
Zheng Zhang, Yuanwei Liu, Zhaolin Wang +1
A simultaneously transmitting and reflecting surface (STARS) enabled integrated sensing and communications (ISAC) framework is proposed, where a novel bi-directional sensing-STARS…
EASpace: Enhanced Action Space for Policy Transfer
Zheng Zhang, Qingrui Zhang, Bo Zhu +2
Formulating expert policies as macro actions promises to alleviate the long-horizon issue via structured exploration and efficient credit assignment. However, traditional option-ba…
Nonparametric Estimation of the Continuous Treatment Effect with Measurement Error
Wei Huang, Zheng Zhang
We identify the average dose-response function (ADRF) for a continuously valued error-contaminated treatment by a weighted conditional expectation. We then estimate the weights non…
DORE: Document Ordered Relation Extraction based on Generative Framework
Qipeng Guo, Yuqing Yang, Hang Yan +2
In recent years, there is a surge of generation-based information extraction work, which allows a more direct use of pre-trained language models and efficiently captures output dep…
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format
Qi Zhu, Christian Geishauser, Hsien-chin Lin +10
Task-oriented dialogue (TOD) systems function as digital assistants, guiding users through various tasks such as booking flights or finding restaurants. Existing toolkits for build…
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees
Tengxiao Liu, Qipeng Guo, Xiangkun Hu +3
Interpreting the reasoning process from questions to answers poses a challenge in approaching explainable QA. A recently proposed structured reasoning format, entailment tree, mana…
Nonparametric Estimation of Mediation Effects with A General Treatment
Lukang Huang, Wei Huang, Oliver Linton +1
To investigate causal mechanisms, causal mediation analysis decomposes the total treatment effect into the natural direct and indirect effects. This paper examines the estimation o…
Causal Effect of Functional Treatment
Ruoxu Tan, Wei Huang, Zheng Zhang +1
We study the causal effect with a functional treatment variable, where practical applications often arise in neuroscience, biomedical sciences, etc. Previous research concerning th…
Hardware-Efficient Mixed-Precision CP Tensor Decomposition
Zi Yang, Junnan Shan, Zheng Zhang
Tensor decomposition has been widely used in machine learning and high-volume data analysis. However, large-scale tensor factorization often consumes huge memory and computing cost…
Security Enhancement for Coupled Phase-Shift STAR-RIS Networks
Zheng Zhang, Zhaolin Wang, Yuanwei Liu +3
The secure transmission of the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided communication system is investigated. Considering the…
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing
Ziyue Liu, Xinling Yu, Zheng Zhang
Physics-informed neural networks (PINNs) have been increasingly employed due to their capability of modeling complex physics systems. To achieve better expressiveness, increasingly…