Chen Li

Follow

Generating author description...

All published works
Action Title Year Authors
+ PDF Chat Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion 2024 Chen Li
Bipin Rajendran
+ PDF Chat Efficient Deployment of Transformer Models in Analog In-Memory Computing Hardware 2024 Chen Li
Corey Lammie
Manuel Le Gallo
Bipin Rajendran
+ PDF Chat Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design Methodology 2024 Anagha Nimbekar
Prabodh Katti
Chen Li
Bashir M. Al‐Hashimi
Amit Acharyya
Bipin Rajendran
+ PDF Chat Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs Prior 2024 Yiqian Wu
Hao Xu
Xiangjun Tang
X. Chen
Siyu Tang
Zhebin Zhang
Chen Li
Xiaogang Jin
+ PDF Chat Bayesian Inference Accelerator for Spiking Neural Networks 2024 Prabodh Katti
Anagha Nimbekar
Chen Li
Amit Acharyya
Bashir M. Al‐Hashimi
Bipin Rajendran
+ PDF Chat SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing 2024 Yuying Ge
Sijie Zhao
Chen Li
Yixiao Ge
Ying Shan
+ PDF Chat Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption 2024 Buzhen Huang
Chen Li
Chongyang Xu
Liang Pan
Yangang Wang
Gim Hee Lee
+ PDF Chat Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models 2024 Pengze Zhang
Hubery Yin
Chen Li
Xiaohua Xie
+ PDF Chat Bayesian Inference Accelerator for Spiking Neural Networks 2024 Prabodh Katti
Anagha Nimbekar
Chen Li
Amit Acharyya
Bashir M. Al‐Hashimi
Bipin Rajendran
+ GHuNeRF: Generalizable Human NeRF from a Monocular Video 2023 Chen Li
Jihao Andreas Lin
Gim Hee Lee
+ Formulating Discrete Probability Flow Through Optimal Transport 2023 Pengze Zhang
Hubery Yin
Chen Li
Xiaohua Xie
+ Noise Adaptor in Spiking Neural Networks 2023 Chen Li
Bipin Rajendran
+ PDF Chat Towards Abstractive Grounded Summarization of Podcast Transcripts 2022 Kaiqiang Song
Chen Li
Xiaoyang Wang
Dong Yu
Fei Liu
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Discrete Probability Distributions 2010 Sandip Sinharay
1
+ PDF Chat Get To The Point: Summarization with Pointer-Generator Networks 2017 Abigail See
Peter J. Liu
Christopher D. Manning
1
+ PDF Chat Bottom-Up Abstractive Summarization 2018 Sebastian Gehrmann
Yuntian Deng
Alexander M. Rush
1
+ Decoupled Weight Decay Regularization 2017 Ilya Loshchilov
Frank Hutter
1
+ BERTScore: Evaluating Text Generation with BERT 2019 Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
1
+ PDF Chat Hierarchical Transformers for Multi-Document Summarization 2019 Yang Liu
Mirella Lapata
1
+ Scoring Sentence Singletons and Pairs for Abstractive Summarization 2019 Logan Lebanoff
Kaiqiang Song
Franck Dernoncourt
Doo Soon Kim
Seokhwan Kim
Walter Chang
Fei Liu
1
+ PDF Chat Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting 2018 Yen-Chun Chen
Mohit Bansal
1
+ PDF Chat Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model 2019 Alexander R. Fabbri
Irene Li
Tianwei She
Suyi Li
Dragomir Radev
1
+ PDF Chat A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss 2018 Wan‐Ting Hsu
Chieh-Kai Lin
Ming-Ying Lee
Kerui Min
Jing Tang
Min Sun
1
+ RoBERTa: A Robustly Optimized BERT Pretraining Approach 2019 Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
Mike Lewis
Luke Zettlemoyer
Veselin Stoyanov
1
+ REALM: Retrieval-Augmented Language Model Pre-Training 2020 Kelvin Guu
Kenton Lee
Zora Tung
Panupong Pasupat
Ming‐Wei Chang
1
+ BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images 2020 Thu Nguyen-Phuoc
Christian Richardt
Long Mai
Yongliang Yang
Niloy J. Mitra
1
+ Longformer: The Long-Document Transformer 2020 Iz Beltagy
Matthew E. Peters
Arman Cohan
1
+ Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks 2020 Patrick Lewis
Ethan Perez
Aleksandara Piktus
Fabio Petroni
Vladimir Karpukhin
Naman Goyal
Heinrich KĂŒttler
Mike Lewis
Wen-tau Yih
Tim RocktÀschel
1
+ On Faithfulness and Factuality in Abstractive Summarization 2020 Joshua Maynez
Shashi Narayan
Bernd Bohnet
Ryan McDonald
1
+ BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension 2020 Mike Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdelrahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
1
+ BLEURT: Learning Robust Metrics for Text Generation 2020 Thibault Sellam
Dipanjan Das
Ankur P. Parikh
1
+ Denoising Diffusion Probabilistic Models 2020 Jonathan Ho
Ajay N. Jain
Pieter Abbeel
1
+ PDF Chat Exploring the Connection Between Binary and Spiking Neural Networks 2020 Sen Lu
Abhronil Sengupta
1
+ Understanding Points of Correspondence between Sentences for Abstractive Summarization 2020 Logan Lebanoff
John Muchovej
Franck Dernoncourt
Doo Soon Kim
Lidan Wang
Walter Chang
Fei Liu
1
+ PDF Chat Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users 2022 Laurent Valentin Jospin
Hamid Laga
Farid BoussaĂŻd
Wray Buntine
Mohammed Bennamoun
1
+ SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks. 2020 Ori Ernst
Ori Shapira
Ramakanth Pasunuru
Michael Lepioshkin
Jacob Goldberger
Mohit Bansal
Ido Dagan
1
+ On Extractive and Abstractive Neural Document Summarization with Transformer Language Models 2020 Jonathan Pilault
Raymond Li
Sandeep Subramanian
Chris Pal
1
+ Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization 2020 Jiaao Chen
Diyi Yang
1
+ PDF Chat Evaluating the Factual Consistency of Abstractive Text Summarization 2020 Wojciech KryƛciƄski
Bryan McCann
Caiming Xiong
Richard Socher
1
+ PDF Chat How Domain Terminology Affects Meeting Summarization Performance 2020 Jia Jin Koay
Alexander Roustai
Xiaojin Dai
Dillon Burns
Alec Kerrigan
Fei Liu
1
+ TREC 2020 Podcasts Track Overview 2021 Rosie Jones
Ben Carterette
Ann Clifton
Maria Eskevich
Gareth J. F. Jones
Jussi Karlgren
Aasish Pappu
Sravana Reddy
Yongze Yu
1
+ PDF Chat CLIPScore: A Reference-free Evaluation Metric for Image Captioning 2021 Jack Hessel
Ari Holtzman
Maxwell Forbes
Ronan Le Bras
Yejin Choi
1
+ Detecting Extraneous Content in Podcasts 2021 Sravana Reddy
Yongze Yu
Aasish Pappu
Aswin Sivaraman
Rezvaneh Rezapour
Rosie Jones
1
+ PDF Chat MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization 2021 Chenguang Zhu
Yang Liu
Jie Mei
Michael Zeng
1
+ PDF Chat Efficient Attentions for Long Document Summarization 2021 Luyang Huang
Shuyang Cao
Nikolaus Nova Parulian
Heng Ji
Lu Wang
1
+ PDF Chat QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization 2021 Ming Zhong
Da Yin
Tao Yu
Ahmad Zaidi
Mutethia Mutuma
Rahul Jha
Ahmed Hassan Awadallah
Aslı Çelikyılmaz
Yang Liu
Xipeng Qiu
1
+ A Sliding-Window Approach to Automatic Creation of Meeting Minutes 2021 Jia Jin Koay
Alexander Roustai
Xiaojin Dai
Fei Liu
1
+ PDF Chat pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis 2021 Eric R. Chan
Marco Aurélio Alvarenga Monteiro
Petr Kellnhofer
Jiajun Wu
Gordon Wetzstein
1
+ Automatic Summarization of Open-Domain Podcast Episodes 2020 Kaiqiang Song
Chen Li
Xiaoyang Wang
Dong Yu
Zhe Feng
1
+ PDF Chat BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning 2021 Hyeryung Jang
Nicolas Skatchkovsky
Osvaldo Simeone
1
+ PDF Chat StreamHover: Livestream Transcript Summarization and Annotation 2021 Sangwoo Cho
Franck Dernoncourt
Tim Ganter
Trung Bui
Nedim Lipka
Walter Chang
Hailin Jin
Jonathan Brandt
Hassan Foroosh
Fei Liu
1
+ PDF Chat imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose 2021 Thiemo Alldieck
Hongyi Xu
Cristian Sminchisescu
1
+ PDF Chat High-Performance FPGA-based Accelerator for Bayesian Neural Networks 2021 Hongxiang Fan
Martin Ferianc
Miguel R. D. Rodrigues
Hong-Yu Zhou
Xinyu Niu
Wayne Luk
1
+ NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction 2021 Peng Wang
Lingjie Liu
Yuan Liu
Christian Theobalt
Taku Komura
Wenping Wang
1
+ PDF Chat Instant neural graphics primitives with a multiresolution hash encoding 2022 Thomas MĂŒller
Alex Evans
Christoph Schied
Alexander Keller
1
+ VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids 2022 K Schwarz
Axel Sauer
Michael Niemeyer
Yiyi Liao
Andreas Geiger
1
+ EpiGRAF: Rethinking training of 3D GANs 2022 Ivan Skorokhodov
Sergey Tulyakov
Yiqun Wang
Peter Wonka
1
+ CUED_speech at TREC 2020 Podcast Summarisation Track 2020 Potsawee Manakul
Mark Gales
1
+ Improved Training of Wasserstein GANs 2017 Ishaan Gulrajani
Faruk Ahmed
MartĂ­n Arjovsky
Vincent Dumoulin
Aaron Courville
1
+ Reformer: The Efficient Transformer 2020 Nikita Kitaev
Ɓukasz Kaiser
Anselm Levskaya
1
+ GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images 2022 Jun Gao
Tianchang Shen
Zian Wang
Wenzheng Chen
Kangxue Yin
Daiqing Li
Or Litany
Ćœan Gojčič
Sanja Fidler
1
+ GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium 2017 Martin Heusel
Hubert Ramsauer
Thomas Unterthiner
Bernhard Nessler
Sepp Hochreiter
1