b'Feng Zhu'

research

∙ 09/04/2023

DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data

Local stochastic gradient descent (SGD) is a fundamental approach in ach...

0 Feng Zhu, et al. ∙

research

∙ 08/15/2023

Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks

The delayed feedback problem is one of the most pressing challenges in p...

0 Xiaolin Zheng, et al. ∙

research

∙ 08/15/2023

Link-Context Learning for Multimodal LLMs

The ability to learn from context with novel concepts, and deliver appro...

0 Yan Tai, et al. ∙

research

∙ 08/01/2023

Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities

Person clustering with multi-modal clues, including faces, bodies, and v...

0 Kaijian Liu, et al. ∙

research

∙ 07/26/2023

Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation

The conventional single-target Cross-Domain Recommendation (CDR) aims to...

0 Jiajie Zhu, et al. ∙

research

∙ 07/24/2023

Exposing the Troublemakers in Described Object Detection

Detecting objects based on language descriptions is a popular task that ...

0 Chi Xie, et al. ∙

research

∙ 06/27/2023

Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

In human conversations, individuals can indicate relevant regions within...

0 Keqin Chen, et al. ∙

research

∙ 06/23/2023

Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning

We propose ADCLR: A ccurate and D ense Contrastive Representation Learni...

0 Shaofeng Zhang, et al. ∙

research

∙ 06/15/2023

Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Recent text-to-image generative models can generate high-fidelity images...

0 Xiaoshi Wu, et al. ∙

research

∙ 06/13/2023

Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions

Human intelligence can retrieve any person according to both visual and ...

0 Weizhen He, et al. ∙

research

∙ 05/21/2023

Advancing Referring Expression Segmentation Beyond Single Image

Referring Expression Segmentation (RES) is a widely explored multi-modal...

0 Yixuan Wu, et al. ∙

research

∙ 04/10/2023

Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk

We study the trade-off between expectation and tail risk for regret dist...

0 David Simchi-Levi, et al. ∙

research

∙ 03/25/2023

Better Aligning Text-to-Image Models with Human Preference

Recent years have witnessed a rapid growth of deep generative models, wi...

0 Xiaoshi Wu, et al. ∙

research

∙ 03/23/2023

CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching

Open-vocabulary detection (OVD) is an object detection task aiming at de...

0 Xiaoshi Wu, et al. ∙

research

∙ 03/10/2023

HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining

Human-centric perceptions include a variety of vision tasks, which have ...

0 Shixiang Tang, et al. ∙

research

∙ 03/06/2023

UniHCP: A Unified Model for Human-Centric Perceptions

Human-centric perceptions (e.g., pose estimation, human parsing, pedestr...

0 Yuanzheng Ci, et al. ∙

research

∙ 02/22/2023

Saliency Guided Contrastive Learning on Scene Images

Self-supervised learning holds promise in leveraging large numbers of un...

0 Meilin Chen, et al. ∙

research

∙ 02/13/2023

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation

In recommendation scenarios, there are two long-standing challenges, i.e...

0 Feng Zhu, et al. ∙

research

∙ 01/21/2023

ABS: Adaptive Bounded Staleness Converges Faster and Communicates Less

Wall-clock convergence time and communication rounds are critical perfor...

0 Qiao Tan, et al. ∙

research

∙ 10/31/2022

Communication-Efficient Local SGD with Age-Based Worker Selection

A major bottleneck of distributed learning under parameter-server (PS) f...

0 Feng Zhu, et al. ∙

research

∙ 10/07/2022

Simulating single-photon detector array sensors for depth imaging

Single-Photon Avalanche Detector (SPAD) arrays are a rapidly emerging te...

0 Stirling Scholes, et al. ∙

research

∙ 10/06/2022

STSyn: Speeding Up Local SGD with Straggler-Tolerant Synchronization

Synchronous local stochastic gradient descent (local SGD) suffers from s...

0 Feng Zhu, et al. ∙

research

∙ 08/15/2022

BoW3D: Bag of Words for Real-time Loop Closing in 3D LiDAR SLAM

Loop closing is a fundamental part of simultaneous localization and mapp...

0 Yunge Cui, et al. ∙

research

∙ 08/01/2022

Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification

Graph-based models have achieved great success in person re-identificati...

0 Xulin Li, et al. ∙

research

∙ 07/01/2022

COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning

Platooning and coordination are two implementation strategies that are f...

0 Duowei Li, et al. ∙

research

∙ 06/24/2022

Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach

As a strategy to reduce travel delay and enhance energy efficiency, plat...

3 Duowei Li, et al. ∙

research

∙ 06/13/2022

LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud

Feature extraction and matching are the basic parts of many computer vis...

0 Yunge Cui, et al. ∙

research

∙ 06/07/2022

A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk for Multi-armed Bandits

We design new policies that ensure both worst-case optimality for expect...

0 David Simchi-Levi, et al. ∙

research

∙ 05/10/2022

Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains

Generalizing learned representations across significantly different visu...

13 Haiyang Yang, et al. ∙

research

∙ 04/28/2022

DOTIN: Dropping Task-Irrelevant Nodes for GNNs

Scalability is an important consideration for deep graph neural networks...

0 Shaofeng Zhang, et al. ∙

research

∙ 03/17/2022

Time Dependency, Data Flow, and Competitive Advantage

Data is fundamental to machine learning-based products and services and ...

0 Ehsan Valavi, et al. ∙

research

∙ 01/12/2022

Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD

Wall-clock convergence time and communication load are key performance m...

8 Feng Zhu, et al. ∙

research

∙ 12/29/2021

GPS: A Policy-driven Sampling Approach for Graph Representation Learning

Graph representation learning has drawn increasing attention in recent y...

0 Tiehua Zhang, et al. ∙

research

∙ 12/16/2021

Feature Erasing and Diffusion Network for Occluded Person Re-Identification

Occluded person re-identification (ReID) aims at matching occluded perso...

0 Zhikang Wang, et al. ∙

research

∙ 12/10/2021

DronePose: The identification, segmentation, and orientation detection of drones via neural networks

The growing ubiquity of drones has raised concerns over the ability of t...

0 Stirling Scholes, et al. ∙

research

∙ 12/01/2021

Revisiting the Transferability of Supervised Pretraining: an MLP Perspective

The pretrain-finetune paradigm is a classical pipeline in visual learnin...

0 Yizhou Wang, et al. ∙

research

∙ 10/29/2021

Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time

Modern neural interfaces allow access to the activity of up to a million...

6 Feng Zhu, et al. ∙

research

∙ 10/13/2021

Statistical CSI-Based Transmission Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Hardware Impairments

We consider a reconfigurable intelligent surface (RIS)-aided massive mul...

0 Jianxin Dai, et al. ∙

research

∙ 10/01/2021

Crashworthiness design of 3D lattice-structure filled thin-walled tubes based on data mining

Lattice structures and thin-walled tubes are two types of energy-absorbe...

0 Jiyuan Lv, et al. ∙

research

∙ 09/08/2021

Temporal RoI Align for Video Object Recognition

Video object detection is challenging in the presence of appearance dete...

0 Tao Gong, et al. ∙

research

∙ 08/18/2021

A Unified Framework for Cross-Domain and Cross-System Recommendations

Cross-Domain Recommendation (CDR) and Cross-System Recommendation (CSR) ...

0 Feng Zhu, et al. ∙

research

∙ 06/28/2021

Dynamic Planning and Learning under Recovering Rewards

Motivated by emerging applications such as live-streaming e-commerce, pr...

0 David Simchi-Levi, et al. ∙

research

∙ 05/28/2021

Improving Facial Attribute Recognition by Group and Graph Learning

Exploiting the relationships between attributes is a key challenge for i...

6 Zhenghao Chen, et al. ∙

research

∙ 05/26/2021

Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification

Recent years have witnessed significant progress in person re-identifica...

0 Shijie Yu, et al. ∙

research

∙ 05/17/2021

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report

Camera scene detection is among the most popular computer vision problem...

7 Andrey Ignatov, et al. ∙

research

∙ 03/02/2021

Cross-Domain Recommendation: Challenges, Progress, and Prospects

To address the long-standing data sparsity problem in recommender system...

0 Feng Zhu, et al. ∙

research

∙ 01/03/2021

Consensus-Guided Correspondence Denoising

Correspondence selection between two groups of feature points aims to co...

2 Chen Zhao, et al. ∙

research

∙ 11/19/2020

Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization

User data confidentiality protection is becoming a rising challenge in t...

0 Yuhang Li, et al. ∙

research

∙ 09/14/2020

A Deep Framework for Cross-Domain and Cross-System Recommendations

Cross-Domain Recommendation (CDR) and Cross-System Recommendations (CSR)...

0 Feng Zhu, et al. ∙

research

∙ 07/04/2020

Understanding the effect of hyperparameter optimization on machine learning models for structure design problems

To relieve the computational cost of design evaluations using expensive ...

0 Xianping Du, et al. ∙

Feng Zhu

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