55 citations · 155 across the 32 of their papers we have counts for
33 papers
Safe Planning for Articulated Robots Using Reachability-based Obstacle Avoidance With Spheres
Jonathan Michaux, Adam Li, Qingyi Chen +3
Generating safe motion plans in real-time is necessary for the wide-scale deployment of robots in unstructured and human-centric environments. These motion plans must be safe to en…
Numerical Simulation of the Impact of Different Cushion Gases on Underground Hydrogen Storage in Aquifers Based on an Experimentally-Benchmarked Equation-of-State
Qingqi Zhao, Yuhang Wang, Cheng Chen
Underground hydrogen storage (UHS) in geological formations is a promising technology for large-scale hydrogen energy storage. Although lessons were learned from similar studies, i…
Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition
Cheng Chen, Yifan Zhao, Jia Li
Learning multi-label image recognition with incomplete annotation is gaining popularity due to its superior performance and significant labor savings when compared to training with…
REAL: A Representative Error-Driven Approach for Active Learning
Cheng Chen, Yong Wang, Lizi Liao +2
Given a limited labeling budget, active learning (AL) aims to sample the most informative instances from an unlabeled pool to acquire labels for subsequent model training. To achie…
AI Coach Assist: An Automated Approach for Call Recommendation in Contact Centers for Agent Coaching
Md Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu +3
In recent years, the utilization of Artificial Intelligence (AI) in the contact center industry is on the rise. One area where AI can have a significant impact is in the coaching o…
CSI-Inpainter: Enabling Visual Scene Recovery from CSI Time Sequences for Occlusion Removal
Cheng Chen, Shoki Ohta, Takayuki Nishio +3
Introducing CSI-Inpainter, a pioneering approach for occlusion removal using Channel State Information (CSI) time sequences, this work propels the application of wireless signal pr…
Symmetric Rank- Methods
Chengchang Liu, Cheng Chen, Luo Luo
This paper proposes a novel class of block quasi-Newton methods for convex optimization which we call symmetric rank- (SR-) methods. Each iteration of SR- incorporates the…
Multi-Modal Interaction Control of Ultrasound Scanning Robots with Safe Human Guidance and Contact Recovery
Xiangjie Yan, Yongpeng Jiang, Guokun Wu +3
Ultrasound scanning robots enable the automatic imaging of a patient's internal organs by maintaining close contact between the ultrasound probe and the patient's body during a sca…
Layout-guided Indoor Panorama Inpainting with Plane-aware Normalization
Chao-Chen Gao, Cheng-Hsiu Chen, Jheng-Wei Su +1
We present an end-to-end deep learning framework for indoor panoramic image inpainting. Although previous inpainting methods have shown impressive performance on natural perspectiv…
Can't Touch This: Real-Time, Safe Motion Planning and Control for Manipulators Under Uncertainty
Jonathan Michaux, Patrick Holmes, Bohao Zhang +7
Ensuring safe, real-time motion planning in arbitrary environments requires a robotic manipulator to avoid collisions, obey joint limits, and account for uncertainties in the mass…
Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop
Md Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu +1
Telephone transcription data can be very noisy due to speech recognition errors, disfluencies, etc. Not only that annotating such data is very challenging for the annotators, but a…
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts
Xue-Yong Fu, Cheng Chen, Md Tahmid Rahman Laskar +2
We present a simple yet effective method to train a named entity recognition (NER) model that operates on business telephone conversation transcripts that contain noise due to the…
Anisotropic gap structure and sign reversal symmetry in monolayer Fe(Se,Te)
Yu Li, Dingyu Shen, Andreas Kreisel +4
The iron-based superconductors are an ideal platform to reveal the enigma of the unconventional superconductivity and potential topological superconductivity. Among them, the monol…
A Unified Two-Stage Group Semantics Propagation and Contrastive Learning Network for Co-Saliency Detection
Zhenshan Tan, Cheng Chen, Keyu Wen +2
Co-saliency detection (CoSOD) aims at discovering the repetitive salient objects from multiple images. Two primary challenges are group semantics extraction and noise object suppre…
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval
Keyu Wen, Zhenshan Tan, Qingrong Cheng +2
Recently, the cross-modal pre-training task has been a hotspot because of its wide application in various down-streaming researches including retrieval, captioning, question answer…
Developing a Production System for Purpose of Call Detection in Business Phone Conversations
Elena Khasanova, Pooja Hiranandani, Shayna Gardiner +3
For agents at a contact centre receiving calls, the most important piece of information is the reason for a given call. An agent cannot provide support on a call if they do not kno…
UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog
Cheng Chen, Yudong Zhu, Zhenshan Tan +4
Visual Dialog aims to answer multi-round, interactive questions based on the dialog history and image content. Existing methods either consider answer ranking and generating indivi…
Impression Allocation and Policy Search in Display Advertising
Di Wu, Cheng Chen, Xiujun Chen +5
In online display advertising, guaranteed contracts and real-time bidding (RTB) are two major ways to sell impressions for a publisher. For large publishers, simultaneously selling…
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising
Jun Chen, Cheng Chen, Huayue Zhang +1
Advertisers usually enjoy the flexibility to choose criteria like target audience, geographic area and bid price when planning an campaign for online display advertising, while the…
MuZero with Self-competition for Rate Control in VP9 Video Compression
Amol Mandhane, Anton Zhernov, Maribeth Rauh +16
Video streaming usage has seen a significant rise as entertainment, education, and business increasingly rely on online video. Optimizing video compression has the potential to inc…
Deep Single Image Deraining using An Asymetric Cycle Generative and Adversarial Framework
Wei Liu, Rui Jiang, Cheng Chen +2
In reality, rain and fog are often present at the same time, which can greatly reduce the clarity and quality of the scene image. However, most unsupervised single image deraining…
Unpaired Quad-Path Cycle Consistent Adversarial Networks for Single Image Defogging
Wei Liu, Cheng Chen, Rui Jiang +2
Adversarial learning-based image defogging methods have been extensively studied in computer vision due to their remarkable performance. However, most existing methods have limited…
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
Luo Luo, Yujun Li, Cheng Chen
We study the smooth minimax optimization problem , where is -smooth, strongly-concave in but possibly nonconvex in…
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Quande Liu, Cheng Chen, Jing Qin +2
Federated learning allows distributed medical institutions to collaboratively learn a shared prediction model with privacy protection. While at clinical deployment, the models trai…