James Y. Zou - RankMe

101 papers A* 38A 4B 1C 2Misc 1Journal 46Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exploring the use of AI authors and reviewers at Agents4Science. CoRR Federico Bianchi, Owen Queen, Nitya Thakkar, Eric Sun, James Y. Zou
2025	J	`jnl`	Inference-time Scaling of Diffusion Models through Classical Search. CoRR Xiangcheng Zhang, Haowei Lin, Haotian Ye, James Y. Zou, Jianzhu Ma, Yitao Liang, Yilun Du
2025	J	`jnl`	Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains. CoRR Juncheng Wu, Sheng Liu, Haoqin Tu, Hang Yu, Xiaoke Huang, James Y. Zou, Cihang Xie, Yuyin Zhou
2025	J	`jnl`	metaTextGrad: Automatically optimizing language model optimizers. CoRR Guowei Xu, Mert Yüksekgönül, Carlos Guestrin, James Y. Zou
2024	A*	`conf`	Accelerating Transformers with Spectrum-Preserving Token Merging. NeurIPS Chau Tran, Duy M. H. Nguyen, Manh-Duy Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh Nguyen, Mathias Niepert
2024	J	`jnl`	Accelerating Transformers with Spectrum-Preserving Token Merging. CoRR Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh T. Nguyen, Mathias Niepert
2024	A*	`conf`	Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems. NeurIPS Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei A. Zaharia, James Y. Zou
2024	A*	`conf`	AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. NeurIPS Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Y. Zou
2024	A*	`conf`	CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. NeurIPS Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Y. Zou, Huaxiu Yao
2024	A*	`conf`	ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence. NeurIPS Kevin Wu, Eric Wu, James Y. Zou
2024	A*	`conf`	Enhancing Large Vision Language Models with Self-Training on Image Comprehension. NeurIPS Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, Quanquan Gu, James Y. Zou, Kai-Wei Chang, Wei Wang
2024	A*	`conf`	GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts. NeurIPS Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Y. Zou, Jure Leskovec
2024	A*	`conf`	In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. ICML Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou
2024	J	`jnl`	Mapping the Increasing Use of LLMs in Scientific Papers. CoRR Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D. Manning, James Y. Zou
2024	A*	`conf`	Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. ICML Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou
2024	J	`jnl`	Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. CoRR Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou
2024	A*	`conf`	STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. NeurIPS Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Y. Zou, Jure Leskovec
2024	A*	`conf`	Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution. NeurIPS Ian Covert, Chanwoo Kim, Su-In Lee, James Y. Zou, Tatsunori B. Hashimoto
2024	A*	`conf`	TFG: Unified Training-Free Guidance for Diffusion Models. NeurIPS Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Y. Zou, Stefano Ermon
2024	A*	`conf`	UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels. NeurIPS Jacob Silberg, Kyle Swanson, Elana Simon, Angela Zhang, Zaniar Ghazizadeh, Scott Ogden, Hisham Hamadeh, James Y. Zou
2023	J	`jnl`	A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images. Medical Image Anal. Xiaowei Xu, Qianjun Jia, Haiyun Yuan, Hailong Qiu, Yuhao Dong, Wen Xie, Zeyang Yao, Jiawei Zhang, Zhiqaing Nie, Xiaomeng Li, Yiyu Shi, James Y. Zou, Meiping Huang, Jian Zhuang
2023	A*	`conf`	Beyond Confidence: Reliable Models Should Also Consider Atypicality. NeurIPS Mert Yüksekgönül, Linjun Zhang, James Y. Zou, Carlos Guestrin
2023	A*	`conf`	DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
2023	A*	`conf`	Factorized Contrastive Learning: Going Beyond Multi-view Redundancy. NeurIPS Paul Pu Liang, Zihao Deng, Martin Q. Ma, James Y. Zou, Louis-Philippe Morency, Ruslan Salakhutdinov
2023	J	`jnl`	Machine learning modeling of RNA structures: methods, challenges and future perspectives. Briefings Bioinform. Kevin E. Wu, James Y. Zou, Howard Chang
2023	A*	`conf`	OpenDataVal: a Unified Benchmark for Data Valuation. NeurIPS Kevin Fu Jiang, Weixin Liang, James Y. Zou, Yongchan Kwon
2023	A*	`conf`	TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter. NeurIPS Yiqun T. Chen, James Y. Zou
2022	J	`jnl`	A Unified f-divergence Framework Generalizing VAE and GAN. CoRR Jaime Roquero Gimenez, James Y. Zou
2022	J	`jnl`	Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics. Inf. Amirata Ghorbani, Dina Berenbaum, Maor Ivgi, Yuval Dafna, James Y. Zou
2022	A*	`conf`	C-Mixup: Improving Generalization in Regression. NeurIPS Huaxiu Yao, Yiping Wang, Linjun Zhang, James Y. Zou, Chelsea Finn
2022	J	`jnl`	Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality. CoRR David Ouyang, John Theurer, Nathan R. Stein, J. Weston Hughes, Pierre A. Elias, Bryan He, Neal Yuan, Grant Duffy, Roopinder K. Sandhu, Joseph Ebinger, Patrick Botting, Melvin Jujjavarapu, Brian Claggett, James E. Tooley, Tim Poterucha, Jonathan H. Chen, Michael Nurok, Marco V. Perez, Adler J. Perotte, James Y. Zou, Nancy R. Cook, Sumeet S. Chugh, Susan Cheng, Christine M. Albert
2022	A*	`conf`	Estimating and Explaining Model Performance When Both Covariates and Labels Shift. NeurIPS Lingjiao Chen, Matei Zaharia, James Y. Zou
2022	A*	`conf`	HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. NeurIPS Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou
2022	A*	`conf`	Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning. NeurIPS Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Y. Zou
2022	J	`jnl`	Protein structure generation via folding diffusion. CoRR Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini
2022	A*	`conf`	SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis. NeurIPS Roxana Daneshjou, Mert Yüksekgönül, Zhuo Ran Cai, Roberto A. Novoa, James Y. Zou
2022	A*	`conf`	Uncalibrated Models Can Improve Human-AI Collaboration. NeurIPS Kailas Vodrahalli, Tobias Gerstenberg, James Y. Zou
2022	A*	`conf`	WeightedSHAP: analyzing and improving Shapley based feature attributions. NeurIPS Yongchan Kwon, James Y. Zou
2021	A*	`conf`	Adversarial Training Helps Transfer Learning via Better Representations. NeurIPS Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Y. Zou
2021	J	`jnl`	High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning. CoRR Grant Duffy, Paul P. Cheng, Neal Yuan, Bryan He, Alan C. Kwan, Matthew J. Shun-Shin, Kevin M. Alexander, Joseph Ebinger, Matthew P. Lungren, Florian Rader, David H. Liang, Ingela Schnittger, Euan A. Ashley, James Y. Zou, Jignesh Patel, Ronald Witteles, Susan Cheng, David Ouyang
2021	Misc	`conf`	Racial Representation Analysis in Dermatology Academic Materials. AMIA Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter W. J. Staar, Skyler Speakman, Kenya S. Andrews, Chinyere Agunwa, Justin Jia, Elizabeth E. Bailey, Jules Lipoff, Ginikanwa Onyekaba, Veronica Rotemberg, Ademide Adelekun, James Y. Zou
2020	J	`jnl`	A Distributional Framework for Data Valuation. CoRR Amirata Ghorbani, Michael P. Kim, James Y. Zou
2020	J	`jnl`	Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations. CoRR Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Y. Zou
2020	J	`jnl`	Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset. CoRR Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Y. Zou, Daniel L. Rubin
2020	J	`jnl`	Deep learning interpretation of echocardiograms. npj Digit. Medicine Amirata Ghorbani, David Ouyang, Abubakar Abid, Bryan He, Jonathan H. Chen, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou
2020	A*	`conf`	FrugalML: How to use ML Prediction APIs more accurately and cheaply. NeurIPS Lingjiao Chen, Matei Zaharia, James Y. Zou
2020	J	`jnl`	How Does Mixup Help With Robustness and Generalization? CoRR Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Y. Zou
2020	J	`jnl`	Improving Adversarial Robustness via Unlabeled Out-of-Domain Data. CoRR Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Y. Zou
2020	J	`jnl`	Improving Training on Noisy Stuctured Labels. CoRR Abubakar Abid, James Y. Zou
2020	A*	`conf`	MOPO: Model-based Offline Policy Optimization. NeurIPS Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Y. Zou, Sergey Levine, Chelsea Finn, Tengyu Ma
2020	A*	`conf`	Neuron Shapley: Discovering the Responsible Neurons. NeurIPS Amirata Ghorbani, James Y. Zou
2020	J	`jnl`	Neuron Shapley: Discovering the Responsible Neurons. CoRR Amirata Ghorbani, James Y. Zou
2020	J	`jnl`	Video-based AI for beat-to-beat assessment of cardiac function. Nat. David Ouyang, Bryan He, Amirata Ghorbani, Neal Yuan, Joseph Ebinger, Curtis P. Langlotz, Paul A. Heidenreich, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou
2019	J	`jnl`	Concrete Autoencoders for Differentiable Feature Selection and Reconstruction. CoRR Abubakar Abid, Muhammad Fatih Balin, James Y. Zou
2019	A*	`conf`	Concrete Autoencoders: Differentiable Feature Selection and Reconstruction. ICML Muhammed Fatih Balin, Abubakar Abid, James Y. Zou
2019	A	`conf`	Contingent Payment Mechanisms for Resource Utilization. AAMAS Hongyao Ma, Reshef Meir, David C. Parkes, James Y. Zou
2019	—	`conf`	Contrastive Multivariate Singular Spectrum Analysis. Allerton Abdi-Hakin Dirie, Abubakar Abid, James Y. Zou
2019	J	`jnl`	Contrastive Variational Autoencoder Enhances Salient Features. CoRR Abubakar Abid, James Y. Zou
2019	A*	`conf`	Data Shapley: Equitable Valuation of Data for Machine Learning. ICML Amirata Ghorbani, James Y. Zou
2019	J	`jnl`	Data Shapley: Equitable Valuation of Data for Machine Learning. CoRR Amirata Ghorbani, James Y. Zou
2019	A*	`conf`	Discovering Conditionally Salient Features with Statistical Guarantees. ICML Jaime Roquero Gimenez, James Y. Zou
2019	J	`jnl`	Discovering Conditionally Salient Features with Statistical Guarantees. CoRR Jaime Roquero Gimenez, James Y. Zou
2019	J	`jnl`	Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild. CoRR Abubakar Abid, Ali Abdalla, Ali Abid, Dawood Khan, Abdulrahman Alfozan, James Y. Zou
2019	A	`conf`	Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization. AISTATS Jaime Roquero Gimenez, James Y. Zou
2019	A*	`conf`	Interpretation of Neural Networks Is Fragile. AAAI Amirata Ghorbani, Abubakar Abid, James Y. Zou
2019	A	`conf`	Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees. AISTATS Jaime Roquero Gimenez, Amirata Ghorbani, James Y. Zou
2019	C	`conf`	Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. AIES Michael P. Kim, Amirata Ghorbani, James Y. Zou
2019	A*	`conf`	Towards Automatic Concept-based Explanations. NeurIPS Amirata Ghorbani, James Wexler, James Y. Zou, Been Kim
2019	J	`jnl`	Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data. CoRR Gal Yona, Amirata Ghorbani, James Y. Zou
2018	—	`conf`	A Stochastic Expectation-Maximization Approach to Shuffled Linear Regression. Allerton Abubakar Abid, James Y. Zou
2018	J	`jnl`	Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders. CoRR Abubakar Abid, James Y. Zou
2018	J	`jnl`	Contrastive Multivariate Singular Spectrum Analysis. CoRR Abdi-Hakin Dirie, Abubakar Abid, James Y. Zou
2018	—	`conf`	Embedding for Informative Missingness: Deep Learning With Incomplete Data. Allerton Amirata Ghorbani, James Y. Zou
2018	J	`jnl`	Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization. CoRR Jaime Roquero Gimenez, James Y. Zou
2018	J	`jnl`	Knockoffs for the mass: new feature importance statistics with false discovery guarantees. CoRR Jaime Roquero Gimenez, Amirata Ghorbani, James Y. Zou
2018	A*	`conf`	Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders. NeurIPS Abubakar Abid, James Y. Zou
2018	J	`jnl`	Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. CoRR Michael P. Kim, Amirata Ghorbani, James Y. Zou
2018	J	`jnl`	Stochastic EM for Shuffled Linear Regression. CoRR Abubakar Abid, James Y. Zou
2017	—	`conf`	Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context. Rep4NLP@ACL Shyam Upadhyay, Kai-Wei Chang, Matt Taddy, Adam Kalai, James Y. Zou
2017	J	`jnl`	Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context. CoRR Shyam Upadhyay, Kai-Wei Chang, Matt Taddy, Adam Tauman Kalai, James Y. Zou
2017	J	`jnl`	Contrastive Principal Component Analysis. CoRR Abubakar Abid, Vivek Kumar Bagaria, Martin J. Zhang, James Y. Zou
2017	J	`jnl`	Interpretation of Neural Networks is Fragile. CoRR Amirata Ghorbani, Abubakar Abid, James Y. Zou
2017	—	`conf`	NeuralFDR: Learning Discovery Thresholds from Hypothesis Features. NIPS Fei Xia, Martin J. Zhang, James Y. Zou, David Tse
2016	J	`jnl`	Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation. CoRR Akash Srivastava, James Y. Zou, Ryan P. Adams, Charles Sutton
2016	J	`jnl`	Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation. CoRR Akash Srivastava, James Y. Zou, Ryan P. Adams, Charles Sutton
2016	J	`jnl`	Contingent Payment Mechanisms to Maximize Resource Utilization. CoRR Hongyao Ma, Reshef Meir, David C. Parkes, James Y. Zou
2016	—	`conf`	Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. NIPS Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai
2016	J	`jnl`	Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. CoRR Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Kalai
2016	J	`jnl`	Quantifying and Reducing Stereotypes in Word Embeddings. CoRR Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai
2015	B	`conf`	Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons. HCOMP James Y. Zou, Kamalika Chaudhuri, Adam Tauman Kalai
2015	J	`jnl`	Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons. CoRR James Y. Zou, Kamalika Chaudhuri, Adam Tauman Kalai
2015	A*	`conf`	Incentive-Compatible Experimental Design. EC Panos Toulis, David C. Parkes, Elery Pfeffer, James Y. Zou
2015	J	`jnl`	Inferring parental genomic ancestries using pooled semi-Markov processes. Bioinform. James Y. Zou, Eran Halperin, Esteban Gonzàlez Burchard, Sriram Sankararaman
2015	A	`conf`	Strategic Voting Behavior in Doodle Polls. CSCW James Y. Zou, Reshef Meir, David C. Parkes
2013	—	`conf`	Contrastive Learning Using Spectral Methods. NIPS James Y. Zou, Daniel J. Hsu, David C. Parkes, Ryan Prescott Adams
2012	C	`conf`	A Slime Mold Solver for Linear Programming Problems. CiE Anders Johannson, James Y. Zou
2012	J	`jnl`	Mechanism Design for Time Critical and Cost Critical Task Execution via Crowdsourcing CoRR Swaprava Nath, Pankaj Dayama, Dinesh Garg, Y. Narahari, James Y. Zou
2012	—	`conf`	Mechanism Design for Time Critical and Cost Critical Task Execution via Crowdsourcing. WINE Swaprava Nath, Pankaj Dayama, Dinesh Garg, Yadati Narahari, James Y. Zou
2012	—	`conf`	Priors for Diversity in Generative Latent Variable Models. NIPS James Y. Zou, Ryan P. Adams
2012	A*	`conf`	Threats and Trade-Offs in Resource Critical Crowdsourcing Tasks Over Networks. AAAI Swaprava Nath, Pankaj Dayama, Dinesh Garg, Y. Narahari, James Y. Zou
2010	A*	`conf`	Tolerable Manipulability in Dynamic Assignment without Money. AAAI James Y. Zou, Sujit Gujar, David C. Parkes