Lan Jiang

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All published works

Action	Title	Year	Authors
+	DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution	2023	Mao Ye Lan Jiang Xi Chen Chao Li
+	CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis	2023	Lan Jiang Mao Ye Xi Chen Xiangfeng Wang Chao Li
+	One-stop Training of Multiple Capacity Models	2023	Lan Jiang Haoyang Huang Dongdong Zhang Rui Jiang Furu Wei
+ PDF Chat	On Length Divergence Bias in Textual Matching Models	2022	Lan Jiang Tianshu Lyu Yankai Lin Chong Meng Xiaoyong Lyu Dawei Yin
+	ROSE: Robust Selective Fine-tuning for Pre-trained Language Models	2022	Lan Jiang Hao Zhou Yankai Lin Peng Li Jie Zhou Rui Jiang
+ PDF Chat	ROSE: Robust Selective Fine-tuning for Pre-trained Language Models	2022	Lan Jiang Hao Zhou Yankai Lin Peng Li Jie Zhou Rui Jiang
+	On Length Divergence Bias in Textual Matching Models	2021	Lan Jiang Tianshu Lyu Yankai Lin Chong Meng Xiaoyong Lyu Dawei Yin
+	Structural balance in signed digraphs: considering transitivity to measure balance in graphs constructed by using different link signing methods	2020	Ly Dinh Rezvaneh Rezapour Lan Jiang Jana Diesner
+	Estimating the Static Parameters in Linear Gaussian Multiple Target Tracking Models	2012	Kasım Sinan Yıldırım Lan Jiang Sumeetpal S. Singh Tom Dean
+	Guaranteed Conservative Fixed Width Confidence Intervals Via Monte Carlo Sampling	2012	Fred J. Hickernell Lan Jiang Yuewei Liu Art B. Owen

Common Coauthors

Coauthor	Papers Together
Yankai Lin	4
Rui Jiang	3
Jie Zhou	2
Mao Ye	2
Chong Meng	2
Chao Li	2
Tianshu Lyu	2
Hao Zhou	2
Xiaoyong Lyu	2
Dawei Yin	2
Dongdong Zhang	1
Xi Chen	1
Xi Chen	1
Peng Li	1
Xiangfeng Wang	1
Tom Dean	1
Kasım Sinan Yıldırım	1
Peng Li	1
Rezvaneh Rezapour	1
Furu Wei	1
Haoyang Huang	1
Jana Diesner	1
Art B. Owen	1
Sumeetpal S. Singh	1
Yuewei Liu	1
Ly Dinh	1
Fred J. Hickernell	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding	2018	Alex Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel Bowman	2
+	FAQ-based Question Answering via Word Alignment	2015	Zhiguo Wang Abraham Ittycheriah	1
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	1
+ PDF Chat	A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations	2016	Shengxian Wan Yanyan Lan Jiafeng Guo Jun Xu Liang Pang Xueqi Cheng	1
+ PDF Chat	Text Matching as Image Recognition	2016	Liang Pang Yanyan Lan Jiafeng Guo Jun Xu Shengxian Wan Xueqi Cheng	1
+ PDF Chat	Entropy-SGD: biasing gradient descent into wide valleys	2019	Pratik Chaudhari Anna Choromanska Stefano Soatto Yann LeCun Carlo Baldassi Christian Borgs Jennifer Chayes Levent Sagun Riccardo Zecchina	1
+	Bilateral Multi-Perspective Matching for Natural Language Sentences	2017	Zhiguo Wang Wael Hamza Radu Florian	1
+ PDF Chat	Enhanced LSTM for Natural Language Inference	2017	Qian Chen Xiaodan Zhu Zhen-Hua Ling Si Wei Hui Jiang Diana Inkpen	1
+	Visualizing the Loss Landscape of Neural Nets	2017	Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein	1
+ PDF Chat	What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties	2018	Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni	1
+	Progress & Compress: A scalable framework for continual learning	2018	Jonathan Schwarz Jelena Luketina Wojciech Marian Czarnecki Agnieszka Grabska‐Barwińska Yee Whye Teh Razvan Pascanu Raia Hadsell	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+	Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference	2019	Tom McCoy Ellie Pavlick Tal Linzen	1
+	Probing Neural Network Comprehension of Natural Language Arguments	2019	Timothy Niven Hung‐Yu Kao	1
+	Stress Test Evaluation for Natural Language Inference	2018	Aakanksha Naik Abhilasha Ravichander Norman Sadeh Carolyn Penstein Rosé Graham Neubig	1
+ PDF Chat	A Continuously Growing Dataset of Sentential Paraphrases	2017	Wuwei Lan Siyu Qiu Hua He Wei Xu	1
+ PDF Chat	Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search	2019	Jinfeng Rao Wei Yang Yuhao Zhang Ferhan Türe Jimmy Lin	1
+ PDF Chat	SQuAD: 100,000+ Questions for Machine Comprehension of Text	2016	Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang	1
+ PDF Chat	Adversarial Examples for Evaluating Reading Comprehension Systems	2017	Robin Jia Percy Liang	1
+	Explicit Inductive Bias for Transfer Learning with Convolutional Networks	2018	Xuhong Li Yves Grandvalet Franck Davoine	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
+	Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models	2019	Cheolhyoung Lee Kyunghyun Cho Wanmo Kang	1
+ PDF Chat	Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment	2020	Di Jin Zhijing Jin Joey Tianyi Zhou Peter Szolovits	1
+ PDF Chat	FreeLB: Enhanced Adversarial Training for Natural Language Understanding	2019	Chen Zhu Yu Cheng Zhe Gan Siqi Sun Tom Goldstein Jingjing Liu	1
+	An Investigation of Why Overparameterization Exacerbates Spurious Correlations	2020	Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang	1
+	Adversarial NLI: A New Benchmark for Natural Language Understanding	2020	Yixin Nie Adina Williams Emily Dinan Mohit Bansal Jason Weston Douwe Kiela	1
+	SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization	2020	Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao Tuo Zhao	1
+	Beyond Accuracy: Behavioral Testing of NLP Models with CheckList	2020	Marco Túlio Ribeiro Tongshuang Wu Carlos Guestrin Sameer Singh	1
+ PDF Chat	Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks	2021	Xiaosen Wang Yichen Yang Yihe Deng Kun He	1
+	InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective	2020	Boxin Wang Shuohang Wang Yu Cheng Zhe Gan Ruoxi Jia Bo Li Jingjing Liu	1
+	Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)	2020	Alex Warstadt Yian Zhang Xiaocheng Li Haokun Liu Samuel R. Bowman	1
+ PDF Chat	Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting	2020	Sanyuan Chen Yutai Hou Yiming Cui Wanxiang Che Ting Liu Xiangzhan Yu	1
+	Evaluating Models’ Local Decision Boundaries via Contrast Sets	2020	Matt Gardner Yoav Artzi Victoria Basmov Jonathan Berant Ben Bogin Sihao Chen Pradeep Dasigi Dheeru Dua Yanai Elazar Ananth Gottumukkala	1
+	Revisiting Few-sample BERT Fine-tuning	2021	Tianyi Zhang Felix Wu Arzoo Katiyar Kilian Q. Weinberger Yoav Artzi	1
+ PDF Chat	Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction	2021	Luoqiu Li Xiang Chen Zhen Bi Xin Xie Shumin Deng Ningyu Zhang Chuanqi Tan Mosha Chen Huajun Chen	1
+ PDF Chat	Achieving Model Robustness through Discrete Adversarial Training	2021	Maor Ivgi Jonathan Berant	1
+ PDF Chat	SimCSE: Simple Contrastive Learning of Sentence Embeddings	2021	Tianyu Gao Xingcheng Yao Danqi Chen	1
+	Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models	2021	Jieyu Lin Jiajie Zou Nai Ding	1
+	R-Drop: Regularized Dropout for Neural Networks	2021	Xiaobo Liang Lijun Wu Juntao Li Yue Wang Qi Meng Tao Qin Wei Chen Min Zhang Tie‐Yan Liu	1
+ PDF Chat	Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning	2021	Runxin Xu Fuli Luo Zhiyuan Zhang Chuanqi Tan Baobao Chang Songfang Huang Fei Huang	1
+	Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models	2021	Boxin Wang Chejian Xu Shuohang Wang Zhe Gan Yu Cheng Jianfeng Gao Ahmed Hassan Awadallah Bo Li	1
+	How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?	2021	Xinshuai Dong Anh Tuan Luu Min Lin Shuicheng Yan Hanwang Zhang	1
+ PDF Chat	SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher	2022	Thai Le Noseong Park Dongwon Lee	1
+ PDF Chat	On Length Divergence Bias in Textual Matching Models	2022	Lan Jiang Tianshu Lyu Yankai Lin Chong Meng Xiaoyong Lyu Dawei Yin	1
+	Distance-Based Regularisation of Deep Networks for Fine-Tuning	2020	Henry Gouk Timothy M. Hospedales Massimiliano Pontil	1
+	Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction	2021	Luoqiu Li Xiang Chen Zhen Bi Xin Xie Shumin Deng Ningyu Zhang Chuanqi Tan Mosha Chen Huajun Chen	1
+	Qualitatively characterizing neural network optimization problems	2014	Ian Goodfellow Oriol Vinyals Andrew Saxe	1
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1