Jieyu Zhang - RankMe

111 papers A* 30A 4Journal 70Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding. CoRR Christopher Clark, Jieyu Zhang, Zixian Ma, Jae Sung Park, Mohammadreza Salehi, Rohun Tripathi, Sangho Lee, Zhongzheng Ren, Chris Dongjoo Kim, Yinuo Yang, Vincent Shao, Yue Yang, Weikai Huang, Ziqi Gao, Taira Anderson, Jianrui Zhang, Jitesh Jain, George Stoica, Winson Han, Ali Farhadi, Ranjay Krishna
2026	J	`jnl`	MolmoPoint: Better Pointing for VLMs with Grounding Tokens. CoRR Christopher Clark, Yue Yang, Jae Sung Park, Zixian Ma, Jieyu Zhang, Rohun Tripathi, Mohammadreza Salehi, Sangho Lee, Taira Anderson, Winson Han, Ranjay Krishna
2026	J	`jnl`	Synthetic Visual Genome 2: Extracting Large-scale Spatio-Temporal Scene Graphs from Videos. CoRR Ziqi Gao, Jieyu Zhang, Wisdom Oluchi Ikezogwo, Jae Sung Park, Tario G. You, Daniel Ogbu, Chenhao Zheng, Weikai Huang, Yinuo Yang, Winson Han, Quan Kong, Rajat Saini, Ranjay Krishna
2026	J	`jnl`	Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration? CoRR Pingyue Zhang, Zihan Huang, Yue Wang, Jieyu Zhang, Letian Xue, Zihan Wang, Qineng Wang, Keshigeyan Chandrasegaran, Ruohan Zhang, Yejin Choi, Ranjay Krishna, Jiajun Wu, Li Fei-Fei, Manling Li
2026	A*	`conf`	Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators. AAAI Zhengyu Hu, Jieyu Zhang, Zhihan Xiong, Alexander Ratner, Kaize Ding, Ranjay Krishna
2026	J	`jnl`	TrajTok: Learning Trajectory Tokens enables better Video Understanding. CoRR Chenhao Zheng, Jieyu Zhang, Jianing Zhang, Weikai Huang, Ashutosh Kumar, Quan Kong, Oncel Tuzel, Chun-Liang Li, Ranjay Krishna
2026	J	`jnl`	URDF-Anything+: Autoregressive Articulated 3D Models Generation for Physical Simulation. CoRR Zhuangzhe Wu, Yue Xin, Chengkai Hou, Minghao Chen, Yaoxu Lyu, Jieyu Zhang, Shanghang Zhang
2026	J	`jnl`	Video-Based Reward Modeling for Computer-Use Agents. CoRR Linxin Song, Jieyu Zhang, Huanxin Sheng, Taiwei Shi, Gupta Rahul, Yang Liu, Ranjay Krishna, Jian Kang, Jieyu Zhao
2025	—	`conf`	BLIP-3: A Family of Open Large Multimodal Models. ICCVW Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2025	J	`jnl`	CoAct-1: Computer-using Agents with Coding as Actions. CoRR Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li Li, Junnan Li, Silvio Savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong
2025	J	`jnl`	Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base. CoRR Linxin Song, Xuwei Ding, Jieyu Zhang, Taiwei Shi, Ryotaro Shimizu, Rahul Gupta, Yang Liu, Jian Kang, Jieyu Zhao
2025	—	`conf`	Explaining Length Bias in LLM-Based Preference Evaluations. EMNLP (Findings) Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Tianfu Wang, Zhengyu Chen, Nicholas Jing Yuan, Jianxun Lian, Kaize Ding, Hui Xiong
2025	J	`jnl`	H2R: A Human-to-Robot Data Augmentation for Robot Pre-training from Videos. CoRR Guangrun Li, Yaoxu Lyu, Zhuoyang Liu, Chengkai Hou, Jieyu Zhang, Shanghang Zhang
2025	A*	`conf`	LATTE: Learning to Think with Vision Specialists. EMNLP Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese
2025	A*	`conf`	MaskSearch: Querying Image Masks at Scale. ICDE Dong He, Jieyu Zhang, Maureen Daum, Alexander Ratner, Magdalena Balazinska
2025	J	`jnl`	MolmoAct: Action Reasoning Models that can Reason in Space. CoRR Jason Lee, Jiafei Duan, Haoquan Fang, Yuquan Deng, Shuo Liu, Boyang Li, Bohan Fang, Jieyu Zhang, Yi Ru Wang, Sangho Lee, Winson Han, Wilbert Pumacay, Angelica Wu, Rose Hendrix, Karen Farley, Eli VanderBilt, Ali Farhadi, Dieter Fox, Ranjay Krishna
2025	J	`jnl`	Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning. CoRR Shaokun Zhang, Yi Dong, Jieyu Zhang, Jan Kautz, Bryan Catanzaro, Andrew Tao, Qingyun Wu, Zhiding Yu, Guilin Liu
2025	J	`jnl`	On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025	J	`jnl`	One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory. CoRR Chenhao Zheng, Jieyu Zhang, Mohammadreza Salehi, Ziqi Gao, Vishnu Iyengar, Norimasa Kobori, Quan Kong, Ranjay Krishna
2025	J	`jnl`	SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning. CoRR Jitesh Jain, Jialuo Li, Zixian Ma, Jieyu Zhang, Chris Dongjoo Kim, Sangho Lee, Rohun Tripathi, Tanmay Gupta, Christopher Clark, Humphrey Shi
2025	J	`jnl`	SOS: Synthetic Object Segments Improve Detection, Segmentation, and Grounding. CoRR Weikai Huang, Jieyu Zhang, Taoyang Jia, Chenhao Zheng, Ziqi Gao, Jae Sung Park, Ranjay Krishna
2025	J	`jnl`	Spatial Mental Modeling from Limited Views. CoRR Baiqiao Yin, Qineng Wang, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang, Jieyu Zhang, Keshigeyan Chandrasegaran, Han Liu, Ranjay Krishna, Saining Xie, Manling Li, Jiajun Wu, Li Fei-Fei
2025	J	`jnl`	URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model. CoRR Zhe Li, Xiang Bai, Jieyu Zhang, Zhuangzhe Wu, Che Xu, Ying Li, Chengkai Hou, Shanghang Zhang
2025	A*	`conf`	Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. ICML Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu
2025	J	`jnl`	Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. CoRR Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu
2024	J	`jnl`	Adaptive In-conversation Team Building for Language Model Agents. CoRR Linxin Song, Jiale Liu, Jieyu Zhang, Shaokun Zhang, Ao Luo, Shijian Wang, Qingyun Wu, Chi Wang
2024	A*	`conf`	Biomedical Visual Instruction Tuning with Clinician Preference Alignment. NeurIPS Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang
2024	J	`jnl`	Biomedical Visual Instruction Tuning with Clinician Preference Alignment. CoRR Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang
2024	A*	`conf`	DataComp-LM: In search of the next generation of training sets for language models. NeurIPS Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Scott Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024	J	`jnl`	DataComp-LM: In search of the next generation of training sets for language models. CoRR Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024	J	`jnl`	EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang
2024	A*	`conf`	EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. EMNLP Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang
2024	J	`jnl`	EcoAct: Economic Agent Determines When to Register What Action. CoRR Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang
2024	J	`jnl`	Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programming. CoRR Ziqi Gao, Weikai Huang, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna
2024	A*	`conf`	Iterated Learning Improves Compositionality in Large Vision-Language Models. CVPR Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna
2024	J	`jnl`	Iterated Learning Improves Compositionality in Large Vision-Language Models. CoRR Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna
2024	J	`jnl`	LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction. CoRR Hejie Cui, Zhuocheng Shen, Jieyu Zhang, Hui Shao, Lianhui Qin, Joyce C. Ho, Carl Yang
2024	J	`jnl`	Language Model Preference Evaluation with Multiple Weak Evaluators. CoRR Zhengyu Hu, Jieyu Zhang, Zhihan Xiong, Alexander Ratner, Hui Xiong, Ranjay Krishna
2024	A*	`conf`	Offline Training of Language Model Agents with Functions as Learnable Weights. ICML Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu
2024	J	`jnl`	ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models. CoRR Jieyu Zhang, Le Xue, Linxin Song, Jun Wang, Weikai Huang, Manli Shu, An Yan, Zixian Ma, Juan Carlos Niebles, Silvio Savarese, Caiming Xiong, Zeyuan Chen, Ranjay Krishna, Ran Xu
2024	J	`jnl`	Rethinking LLM-based Preference Evaluation. CoRR Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong
2024	A*	`conf`	SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. ICML Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang
2024	J	`jnl`	TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action. CoRR Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese
2024	A*	`conf`	Task Me Anything. NeurIPS Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
2024	J	`jnl`	Task Me Anything. CoRR Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
2024	J	`jnl`	Training Language Model Agents without Modifying Language Models. CoRR Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu
2024	—	`conf`	m &m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks. ECCV (10) Zixian Ma, Weikai Huang, Jieyu Zhang, Tanmay Gupta, Ranjay Krishna
2024	J	`jnl`	m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks. CoRR Zixian Ma, Weikai Huang, Jieyu Zhang, Tanmay Gupta, Ranjay Krishna
2024	J	`jnl`	xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2023	J	`jnl`	AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. CoRR Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang
2023	A*	`conf`	Characterizing the Impacts of Semi-supervised Learning for Weak Supervision. NeurIPS Jeffrey Li, Jieyu Zhang, Ludwig Schmidt, Alexander J. Ratner
2023	—	`conf`	Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. ACL (1) Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
2023	A*	`conf`	DataComp: In search of the next generation of multimodal datasets. NeurIPS Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
2023	J	`jnl`	DataComp: In search of the next generation of multimodal datasets. CoRR Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
2023	J	`jnl`	EcoAssistant: Using LLM Assistant More Affordably and Accurately. CoRR Jieyu Zhang, Ranjay Krishna, Ahmed Hassan Awadallah, Chi Wang
2023	A*	`conf`	Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning. CVPR Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou
2023	J	`jnl`	How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking. CoRR Zhengyu Hu, Jieyu Zhang, Yue Yu, Yuchen Zhuang, Hui Xiong
2023	A*	`conf`	Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. NeurIPS Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
2023	J	`jnl`	Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. CoRR Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
2023	A*	`conf`	Learning Hyper Label Model for Programmatic Weak Supervision. ICLR Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu
2023	A	`conf`	Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. AISTATS Jieyu Zhang, Linxin Song, Alex Ratner
2023	A*	`conf`	Leveraging Relational Graph Neural Network for Transductive Model Ensemble. KDD Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang
2023	J	`jnl`	MaskSearch: Querying Image Masks at Scale. CoRR Dong He, Jieyu Zhang, Maureen Daum, Alexander Ratner, Magdalena Balazinska
2023	A	`conf`	Multiple Connectivity Views for Session-based Recommendation. RecSys Yaming Yang, Jieyu Zhang, Yujing Wang, Zheng Miao, Yunhai Tong
2023	J	`jnl`	NLPBench: Evaluating Large Language Models on Solving NLP Problems. CoRR Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li
2023	A*	`conf`	On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training. NeurIPS Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander J. Ratner
2023	J	`jnl`	On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training. CoRR Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander Ratner
2023	J	`jnl`	SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. CoRR Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang
2023	J	`jnl`	Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph. Trans. Mach. Learn. Res. Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao
2023	A*	`conf`	Subclass-balancing Contrastive Learning for Long-tailed Recognition. ICCV Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou
2023	J	`jnl`	Subclass-balancing Contrastive Learning for Long-tailed Recognition. CoRR Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou
2023	A*	`conf`	SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. NeurIPS Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna
2023	J	`jnl`	SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. CoRR Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna
2023	J	`jnl`	Taming Small-sample Bias in Low-budget Active Learning. CoRR Linxin Song, Jieyu Zhang, Xiaotian Lu, Tianyi Zhou
2023	A*	`conf`	Uncovering Neural Scaling Laws in Molecular Representation Learning. NeurIPS Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
2023	J	`jnl`	Uncovering Neural Scaling Laws in Molecular Representation Learning. CoRR Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
2023	A*	`conf`	When to Learn What: Model-Adaptive Data Augmentation Curriculum. ICCV Chengkai Hou, Jieyu Zhang, Tianyi Zhou
2023	J	`jnl`	When to Learn What: Model-Adaptive Data Augmentation Curriculum. CoRR Chengkai Hou, Jieyu Zhang, Tianyi Zhou
2022	—	`conf`	A Survey on Deep Graph Generation: Methods and Applications. LoG Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu
2022	J	`jnl`	A Survey on Deep Graph Generation: Methods and Applications. CoRR Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu
2022	J	`jnl`	A Survey on Programmatic Weak Supervision. CoRR Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner
2022	—	`conf`	AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. NAACL-HLT Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
2022	J	`jnl`	Augmentation-Free Graph Contrastive Learning. CoRR Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang
2022	A	`conf`	Binary Classification with Positive Labeling Sources. CIKM Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner
2022	J	`jnl`	Binary Classification with Positive Labeling Sources. CoRR Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner
2022	J	`jnl`	Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph? CoRR Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang
2022	J	`jnl`	Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. CoRR Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
2022	A*	`conf`	Creating Training Sets via Weak Indirect Supervision. ICLR Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner
2022	J	`jnl`	Label-Efficient Interactive Time-Series Anomaly Detection. CoRR Hong Guo, Yujing Wang, Jieyu Zhang, Zhengjie Lin, Yunhai Tong, Lei Yang, Luoxing Xiong, Congrui Huang
2022	J	`jnl`	Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. CoRR Jieyu Zhang, Linxin Song, Alexander Ratner
2022	J	`jnl`	Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. CoRR Cheng-Yu Hsieh, Jieyu Zhang, Alexander Ratner
2022	J	`jnl`	Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. Proc. VLDB Endow. Cheng-Yu Hsieh, Jieyu Zhang, Alexander J. Ratner
2022	A*	`conf`	TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. WWW Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han
2022	J	`jnl`	TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. CoRR Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han
2022	A*	`conf`	Understanding Programmatic Weak Supervision via Source-aware Influence Function. NeurIPS Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander J. Ratner
2022	J	`jnl`	Understanding Programmatic Weak Supervision via Source-aware Influence Function. CoRR Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander Ratner
2021	J	`jnl`	ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. CoRR Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
2021	J	`jnl`	Creating Training Sets via Weak Indirect Supervision. CoRR Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner
2021	A*	`conf`	TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). IJCAI Carl Yang, Jieyu Zhang, Jiawei Han
2021	A*	`conf`	Taxonomy Completion via Triplet Matching Network. AAAI Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
2021	J	`jnl`	Taxonomy Completion via Triplet Matching Network. CoRR Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
2021	—	`conf`	WRENCH: A Comprehensive Benchmark for Weak Supervision. NeurIPS Datasets and Benchmarks Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner
2021	J	`jnl`	WRENCH: A Comprehensive Benchmark for Weak Supervision. CoRR Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner
2021	J	`jnl`	Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han
2020	A*	`conf`	Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. ICDM Carl Yang, Jieyu Zhang, Jiawei Han
2020	A*	`conf`	Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. SIGIR Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han
2020	A	`conf`	Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. WSDM Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han
2019	J	`jnl`	CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han
2019	A*	`conf`	Neural Embedding Propagation on Heterogeneous Networks. ICDM Carl Yang, Jieyu Zhang, Jiawei Han
2019	J	`jnl`	Neural Embedding Propagation on Heterogeneous Networks. CoRR Carl Yang, Jieyu Zhang, Jiawei Han
2019	J	`jnl`	Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. CoRR Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han