Liwei Wang

发表

Multi-scale Orderless Pooling of Deep Convolutional Activation Features

Svetlana Lazebnik, Ruiqi Guo, Liwei Wang, 2014, ECCV.

Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections

Svetlana Lazebnik, Liwei Wang, Julia Hockenmaier, 2014, ECCV.

Compressed introns in a linkage learning genetic algorithm

Fernando G. Lobo, D. Goldberg, K. Deb, 1998 .

Learning Deep Structure-Preserving Image-Text Embeddings

Yin Li, Svetlana Lazebnik, Liwei Wang, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Training Deeper Convolutional Networks with Deep Supervision pdf

Zhuowen Tu, Svetlana Lazebnik, Chen-Yu Lee, 2015, ArXiv.

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Svetlana Lazebnik, Juan C. Caicedo, Liwei Wang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Solar-driven compression-assisted desorption chemisorption refrigeration/cold energy storage system

Liwei Wang, Qiguo Yang, P. Gao, 2022, Energy Conversion and Management.

Fully Convolutional Networks for Panoptic Segmentation

Xiaojuan Qi, Jiaya Jia, Hengshuang Zhao, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Your Transformer May Not be as Powerful as You Expect

Liwei Wang, Tie-Yan Liu, Di He, 2022, ArXiv.

Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation

Xiaoyu Chen, Liwei Wang, Zhuoran Yang, 2022, ICML.

Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets

Liwei Wang, Zhuoran Yang, Zhaoran Wang, 2022, ArXiv.

Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power

J. Hopcroft, Liwei Wang, Han Zhong, 2022, ArXiv.

Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game

Liwei Wang, T. Zhang, Wei Xiong, 2022, ArXiv.

Is L2 Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?

Liwei Wang, Di He, Shanda Li, 2022, ArXiv.

Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power

J. Hopcroft, Liwei Wang, Han Zhong, 2022, ArXiv.

Rethinking Lipschitz Neural Networks for Certiﬁed L-inﬁnity Robustness

Liwei Wang, Di He, Bohang Zhang, 2022 .

Is L2 Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?

Liwei Wang, Di He, Shanda Li, 2022, NeurIPS.

Your Transformer May Not be as Powerful as You Expect

Liwei Wang, Tie-Yan Liu, Di He, 2022, NeurIPS.

Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power

J. Hopcroft, Liwei Wang, Han Zhong, 2022, NeurIPS.

Chemisorption solid materials for hydrogen storage near ambient temperature: a review

Liwei Wang, Yiheng Zhang, Shaofei Wu, 2022, Frontiers in Energy.

Denoising Masked AutoEncoders are Certifiable Robust Vision Learners

Liwei Wang, Huishuai Zhang, Di He, 2022, ArXiv.

Distributed Measurement-Based Optimal DER Dispatch With Estimated Sensitivity Models

Liwei Wang, Y. Chen, Severin Nowak, 2022, IEEE Transactions on Smart Grid.

Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective

Liwei Wang, Di He, Bohang Zhang, 2022, NeurIPS.

Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning

Liwei Wang, Aoxue Li, Zhiwu Lu, 2020, International Journal of Computer Vision.

Nearly Optimal Policy Optimization with Stable at Any Time Guarantee

S. Du, Liwei Wang, Jiantao Jiao, 2021, ICML.

Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets

Liwei Wang, Wei Xiong, Zhuoran Yang, 2022, ICML.

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Svetlana Lazebnik, Juan C. Caicedo, Liwei Wang, 2015, International Journal of Computer Vision.

Improving One-stage Visual Grounding by Recursive Sub-query Construction

Jiebo Luo, Liwei Wang, Tianlang Chen, 2020, ECCV.

Defective Convolutional Networks

Liwei Wang, Di He, Tianle Cai, 2019, 1911.08432.

Provable Sim-to-real Transfer in Continuous Domain with Partial Observations

Chi Jin, Liwei Wang, Jiachen Hu, 2022, ICLR.

Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

Svetlana Lazebnik, Alexander G. Schwing, Liwei Wang, 2017, NIPS.

MC-BERT: Efficient Language Pre-Training via a Meta Controller pdf

Tie-Yan Liu, Liwei Wang, Di He, 2020, ArXiv.

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Liwei Wang, Zehuan Yuan, Yi Jiang, 2023, ICLR.

Performance regulation characteristics of bi-halide sorbents in the thermochemical sorption system for cold/heat storage

Liwei Wang, X. Zhang, Bo Zhang, 2022, Applied Thermal Engineering.

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training

Liwei Wang, Keyulu Xu, Di He, 2020, ICML.

DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets

B. Schiele, Liwei Wang, Di He, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

FedCM: Federated Learning with Client-level Momentum pdf

Andrew Chi-Chih Yao, Jing Xu, Sen Wang, 2021, ArXiv.

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Cho-Jui Hsieh, Pradeep Ravikumar, Liwei Wang, 2020, ICLR.

Fully Convolutional Networks for Panoptic Segmentation pdf

Xiaojuan Qi, Hengshuang Zhao, Jian Sun, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Locally Differentially Private (Contextual) Bandits Learning pdf

Kai Zheng, Zhenguo Li, Liwei Wang, 2020, NeurIPS.

Comprehensive Image Captioning via Scene Graph Decomposition

Dong Yu, Liwei Wang, Yin Li, 2020, ECCV.

Penetration state recognition based on stereo vision in GMAW process by deep learning

Liwei Wang, Xu Gao, Xiaoming Zhang, 2023, Journal of Manufacturing Processes.

Boosting Few-Shot Learning With Adaptive Margin Loss

Aoxue Li, Jiashi Feng, Zhenguo Li, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

Jiaya Jia, Liwei Wang, Shu Liu, 2022, ECCV.

Semi-Supervised Learning for Video Captioning

Liwei Wang, Ke Lin, Zhuoxin Gan, 2020, FINDINGS.

Chemisorption heat pump governed by asynchronous start-stop method for stable heat output

Liwei Wang, Qiguo Yang, P. Gao, 2023, Energy Conversion and Management.

Major applications of heat pipe and its advances coupled with sorption system: a review

Liwei Wang, G. An, Yang Yu, 2019, Frontiers in Energy.

System Design and Energy Management for a Fuel Cell/Battery Hybrid Forklift

Ying Han, Firuz Zare, Liwei Wang, 2018, Energies.

A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests

Liwei Wang, Di He, Yiheng Du, 2023, ICML.

Rethinking the Expressive Power of GNNs via Graph Biconnectivity

Liwei Wang, Di He, Bohang Zhang, 2023, ICLR.

Learning to Predict from Crowdsourced Data

Zhuowen Tu, James T. Kwok, Liwei Wang, 2014, UAI.

Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective

Liwei Wang, Di He, Bohang Zhang, 2023, NeurIPS.

Learning Physics-Informed Neural Networks without Stacked Back-propagation

Liwei Wang, Tie-Yan Liu, Di He, 2022, AISTATS.

Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency

Liwei Wang, Fei Huang, Songfang Huang, 2022, ACL.

Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo

Liwei Wang, Xiang Li, Di He, 2023, ArXiv.

Ammonia-based hybrid chemisorption-compression heat pump for high-temperature heating

Liwei Wang, Xiangyu Xie, Qiguo Yang, 2023, Applied Thermal Engineering.

Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game

Liwei Wang, T. Zhang, Wei Xiong, 2022, ICLR.

Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL pdf

Lihong Li, Xiaoyu Chen, Liwei Wang, 2020, ICLR.

ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning

Liwei Wang, Hao Yang, Zhenguo Li, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Kinematical Analysis of 3D Seismic Stability of Slopes in Unsaturated and Inhomogeneous Soils Using a Pseudodynamic Method

Liwei Wang, Chang Liu, Yunong Li, 2023, International Journal of Geomechanics.

Stability Analysis of Inhomogeneous Slopes in Unsaturated Soils Optimized by a Genetic Algorithm

Liwei Wang, Chang Liu, Yunong Li, 2022, International Journal of Geomechanics.

Understanding Domain Randomization for Sim-to-real Transfer

Lihong Li, Chi Jin, Liwei Wang, 2021, ICLR.

Understanding Domain Randomization for Sim-to-real Transfer

Lihong Li, Chi Jin, Liwei Wang, 2021, ICLR.

Towards Certifying `∞ Robustness using Neural Networks with `∞-dist Neurons

Liwei Wang, Di He, Zhou Lu, 2021 .

Technical Characterization and Benefit Evaluation of 5G-Enabled Grid Data Transport and Applications

Liwei Wang, Yousu Chen, H. Ren, 2022 .

Investigation on a novel pumpless module driven by thermal energy and gravity and its application in an ORC system

Liwei Wang, Hanyu Zhu, Xuefeng Zhang, 2022, Renewable Energy.

Non-steady thermodynamic characteristics of a pilot-scale organic Rankine cycle system with a thermally-driven pump

Liwei Wang, Zihan Zhang, Lemin Wang, 2022, Energy.

A 5G Enabled Adaptive Computing Workflow for Greener Power Grid

Liwei Wang, Yousu Chen, Dexin Wang, 2022, 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

NC2E: boosting few-shot learning with novel class center estimation

Liwei Wang, Kehua Guo, Zheng Wu, 2022, Neural Comput. Appl..

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation

B. Schiele, Liwei Wang, Shaoshuai Shi, 2023, ArXiv.

Offline Meta Reinforcement Learning with In-Distribution Online Adaptation

Liwei Wang, Junyu Zhang, Chongjie Zhang, 2023, ICML.

X Y V 1 ReLU W 1 Embedding Space L 2 Normalization L 2 Normalization W 2 V 2 ReLU

Liwei Wang, 2015 .

Robust Dialogue Utterance Rewriting as Sequence Tagging pdf

Dong Yu, Jie Hao, Zhaopeng Tu, 2020, ArXiv.

Rethinking the Expressive Power of GNNs via Graph Biconnectivity

Liwei Wang, Di He, Bohang Zhang, 2023, ICLR.