Binhang Yuan - RankMe

104 papers A* 16B 1Misc 2Journal 79Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AREAL-DTA: Dynamic Tree Attention for Efficient Reinforcement Learning of Large Language Models. CoRR Jiarui Zhang, Yuchen Yang, Ran Yan, Zhiyu Mei, Liyuan Zhang, Daifeng Li, Wei Fu, Jiaxuan Gao, Shusheng Xu, Yi Wu, Binhang Yuan
2026	J	`jnl`	Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes. CoRR Fangyu Ding, Ding Ding, Sijin Chen, Kaibo Wang, Peng Xu, Zijin Feng, Haoli Bai, Kai Han, Youliang Yan, Binhang Yuan, Jiacheng Sun
2026	J	`jnl`	ClimateAgent: Multi-Agent Orchestration for Complex Climate Data Science Workflows. Trans. Mach. Learn. Res. Chenyue Li, Hyeonjae Kim, Wen Deng, Mengxi Jin, Wen Huang, Mengqian Lu, Binhang Yuan
2026	J	`jnl`	IMMACULATE: A Practical LLM Auditing Framework via Verifiable Computation. CoRR Yanpei Guo, Wenjie Qu, Linyu Wu, Shengfang Zhai, Lionel Z. Wang, Ming Xu, Yue Liu, Binhang Yuan, Dawn Song, Jiaheng Zhang
2026	J	`jnl`	S2SServiceBench: A Multimodal Benchmark for Last-Mile S2S Climate Services. CoRR Chenyue Li, Wen Deng, Zhuotao Sun, Mengxi Jin, Hanzhe Cui, Han Li, Shentong Li, Man Kit Yu, Ming Long Lai, Yuhao Yang, Mengqian Lu, Binhang Yuan
2026	J	`jnl`	Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code. CoRR Haobo Lin, Tianyi Bai, Chen Chen, Jiajun Zhang, Bohan Zeng, Wentao Zhang, Binhang Yuan
2026	J	`jnl`	Trident: Adaptive Scheduling for Heterogeneous Multimodal Data Pipelines. CoRR Ding Pan, Zhuangzhuang Zhou, Long Qian, Binhang Yuan
2026	J	`jnl`	V3DB: Audit-on-Demand Zero-Knowledge Proofs for Verifiable Vector Search over Committed Snapshots. CoRR Zipeng Qiu, Wenjie Qu, Jiaheng Zhang, Binhang Yuan
2025	J	`jnl`	AReaL-Hex: Accommodating Asynchronous RL Training over Heterogeneous GPUs. CoRR Ran Yan, Youhe Jiang, Tianyuan Wu, Jiaxuan Gao, Zhiyu Mei, Wei Fu, Haohui Mai, Wei Wang, Yi Wu, Binhang Yuan
2025	J	`jnl`	AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning. CoRR Wei Fu, Jiaxuan Gao, Xujie Shen, Chen Zhu, Zhiyu Mei, Chuyi He, Shusheng Xu, Guo Wei, Jun Mei, Jiashu Wang, Tongkai Yang, Binhang Yuan, Yi Wu
2025	J	`jnl`	AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science. CoRR Chenyue Li, Wen Deng, Mengqian Lu, Binhang Yuan
2025	J	`jnl`	CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models. CoRR Guanduo Chen, Yutong He, Yipeng Hu, Kun Yuan, Binhang Yuan
2025	J	`jnl`	CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science Workflows. CoRR Hyeonjae Kim, Chenyue Li, Wen Deng, Mengxi Jin, Wen Huang, Mengqian Lu, Binhang Yuan
2025	J	`jnl`	Cascadia: A Cascade Serving System for Large Language Models. CoRR Youhe Jiang, Fangcheng Fu, Wanru Zhao, Stephan Rabanser, Nicholas D. Lane, Binhang Yuan
2025	A*	`conf`	DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference. ICLR Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin
2025	A*	`conf`	Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs. ICML Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki
2025	J	`jnl`	Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs. CoRR Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki
2025	J	`jnl`	Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs. CoRR Guoliang He, Youhe Jiang, Wencong Xiao, Kaihua Jiang, Shuguang Wang, Jun Wang, Zixian Du, Zhuo Jiang, Xinlei Zhang, Binhang Yuan, Eiko Yoneki
2025	—	`conf`	Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration. ACL (1) Tianyi Bai, Ling Yang, Zhen Hao Wong, Fupeng Sun, Xinlin Zhuang, Jiahui Peng, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He
2025	J	`jnl`	Flash Sparse Attention: An Alternative Efficient Implementation of Native Sparse Attention Kernel. CoRR Ran Yan, Youhe Jiang, Binhang Yuan
2025	J	`jnl`	HEXGEN-TEXT2SQL: Optimizing LLM Inference Request Scheduling for Agentic Text-to-SQL Workflow. CoRR You Peng, Youhe Jiang, Chen Wang, Binhang Yuan
2025	J	`jnl`	Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning. CoRR Tianyi Bai, Yuxuan Fan, Jiantao Qiu, Fupeng Sun, Jiayi Song, Junlin Han, Zichen Liu, Conghui He, Wentao Zhang, Binhang Yuan
2025	A*	`conf`	HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment. ICLR Youhe Jiang, Ran Yan, Binhang Yuan
2025	J	`jnl`	HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment. CoRR Youhe Jiang, Ran Yan, Binhang Yuan
2025	J	`jnl`	Local Success Does Not Compose: Benchmarking Large Language Models for Compositional Formal Verification. CoRR Xu Xu, Xin Li, Xingwei Qu, Jie Fu, Binhang Yuan
2025	J	`jnl`	Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices. Trans. Mach. Learn. Res. Yuxiang Huang, Binhang Yuan, Xu Han, Chaojun Xiao, Zhiyuan Liu
2025	A*	`conf`	MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage. ICDE Yongjun He, Roger Waleffe, Zhichao Han, Johnu George, Binhang Yuan, Zitao Zhang, Yinan Shan, Yang Zhao, Debojyoti Dutta, Theodoros Rekatsinas, Ce Zhang
2025	J	`jnl`	MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage. CoRR Yongjun He, Roger Waleffe, Zhichao Han, Johnu George, Binhang Yuan, Zitao Zhang, Yinan Shan, Yang Zhao, Debojyoti Dutta, Theodoros Rekatsinas, Ce Zhang
2025	J	`jnl`	Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification. CoRR Tianyi Bai, Zengjie Hu, Fupeng Sun, Jiantao Qiu, Yizhen Jiang, Guangxin He, Bohan Zeng, Conghui He, Binhang Yuan, Wentao Zhang
2025	J	`jnl`	Parallax: Efficient LLM Inference Service over Decentralized Environment. CoRR Chris Tong, Youhe Jiang, Gufeng Chen, Tianyi Zhao, Sibian Lu, Wenjie Qu, Eric Yang, Lynn Ai, Binhang Yuan
2025	A*	`conf`	Prompt Inversion Attack Against Collaborative Inference of Large Language Models. SP Wenjie Qu, Yuguang Zhou, Yongji Wu, Tingsong Xiao, Binhang Yuan, Yiming Li, Jiaheng Zhang
2025	J	`jnl`	Prompt Inversion Attack against Collaborative Inference of Large Language Models. CoRR Wenjie Qu, Yuguang Zhou, Yongji Wu, Tingsong Xiao, Binhang Yuan, Yiming Li, Jiaheng Zhang
2025	A*	`conf`	Ratel: Optimizing Holistic Data Movement to Fine-tune 100B Model on a Consumer GPU. ICDE Changyue Liao, Mo Sun, Zihan Yang, Jun Xie, Kaiqi Chen, Binhang Yuan, Fei Wu, Zeke Wang
2025	J	`jnl`	Re:Form - Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny. CoRR Chuanhao Yan, Fengdi Che, Xuhan Huang, Xu Xu, Xin Li, Yizhi Li, Xingwei Qu, Jingzhe Shi, Zhuangzhuang He, Chenghua Lin, Yaodong Yang, Binhang Yuan, Hang Zhao, Yu Qiao, Bowen Zhou, Jie Fu
2025	J	`jnl`	TAH-QUANT: Effective Activation Quantization in Pipeline Parallelism over Slow Network. CoRR Guangxin He, Yuan Cao, Yutong He, Tianyi Bai, Kun Yuan, Binhang Yuan
2025	J	`jnl`	Top Ten Challenges Towards Agentic Neural Graph Databases. CoRR Jiaxin Bai, Zihao Wang, Yukun Zhou, Hang Yin, Weizhi Fei, Qi Hu, Zheye Deng, Jiayang Cheng, Tianshi Zheng, Hong Ting Tsang, Yisen Gao, Zhongwei Xie, Yufei Li, Lixin Fan, Binhang Yuan, Wei Wang, Lei Chen, Xiaofang Zhou, Yangqiu Song
2025	J	`jnl`	Top Ten Challenges Towards Agentic Neural Graph Databases. IEEE Data Eng. Bull. Jiaxin Bai, Zihao Wang, Yukun Zhou, Hang Yin, Weizhi Fei, Qi Hu, Zheye Deng, Jiayang Cheng, Tianshi Zheng, Hong Ting Tsang, Yisen Gao, Zhongwei Xie, Yufei Li, Lixin Fan, Binhang Yuan, Wei Wang, Lei Chen, Xiaofang Zhou, Yangqiu Song
2025	—	`conf`	Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference. USENIX ATC Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
2025	J	`jnl`	UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models. CoRR Guangxin He, Shen Nie, Fengqi Zhu, Yuankang Zhao, Tianyi Bai, Ran Yan, Jie Fu, Chongxuan Li, Binhang Yuan
2025	J	`jnl`	VADE: Variance-Aware Dynamic Sampling via Online Sample-Level Difficulty Estimation for Multimodal RL. CoRR Zengjie Hu, Jiantao Qiu, Tianyi Bai, Haojin Yang, Binhang Yuan, Qi Jing, Conghui He, Wentao Zhang
2025	J	`jnl`	VeriEquivBench: An Equivalence Score for Ground-Truth-Free Evaluation of Formally Verifiable Code. CoRR Lingfei Zeng, Fengdi Che, Xuhan Huang, Fei Ye, Xu Xu, Binhang Yuan, Jie Fu
2024	J	`jnl`	A Survey of Multimodal Large Language Model from A Data-centric Perspective. CoRR Tianyi Bai, Hao Liang, Binwang Wan, Ling Yang, Bozhou Li, Yifan Wang, Bin Cui, Conghui He, Binhang Yuan, Wentao Zhang
2024	J	`jnl`	Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU. CoRR Changyue Liao, Mo Sun, Zihan Yang, Kaiqi Chen, Binhang Yuan, Fei Wu, Zeke Wang
2024	J	`jnl`	CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. CoRR Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
2024	J	`jnl`	Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model. CoRR Xinrun Du, Zhouliang Yu, Songyang Gao, Ding Pan, Yuyang Cheng, Ziyang Ma, Ruibin Yuan, Xingwei Qu, Jiaheng Liu, Tianyu Zheng, Xinchen Luo, Guorui Zhou, Binhang Yuan, Wenhu Chen, Jie Fu, Ge Zhang
2024	J	`jnl`	DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference. CoRR Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin
2024	J	`jnl`	FlashFlex: Accommodating Large Language Model Training over Heterogeneous Environment. CoRR Ran Yan, Youhe Jiang, Wangcheng Tao, Xiaonan Nie, Bin Cui, Binhang Yuan
2024	A*	`conf`	HexGen: Generative Inference of Large Language Model over Heterogeneous Environment. ICML Youhe Jiang, Ran Yan, Xiaozhe Yao, Yang Zhou, Beidi Chen, Binhang Yuan
2024	J	`jnl`	Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads. CoRR Yuxiang Huang, Binhang Yuan, Xu Han, Chaojun Xiao, Zhiyuan Liu
2024	A*	`conf`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. NeurIPS Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
2024	J	`jnl`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. CoRR Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
2024	J	`jnl`	Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. CoRR Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He
2024	J	`jnl`	On the Opportunities of (Re)-Exploring Atmospheric Science by Foundation Models: A Case Study. CoRR Lujia Zhang, Hanzhe Cui, Yurong Song, Chenyue Li, Binhang Yuan, Mengqian Lu
2024	A*	`conf`	Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training. ICML Lin Lu, Chenxi Dai, Wangcheng Tao, Binhang Yuan, Yanan Sun, Pan Zhou
2024	B	`conf`	Serving Deep Learning Models from Relational Databases. EDBT Lixi Zhou, Qi Lin, Kanchan Chowdhury, Saif Masood, Alexandre E. Eichenberger, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Jia Zou
2024	J	`jnl`	Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems. VLDB J. Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2024	J	`jnl`	TQA-Bench: Evaluating LLMs for Multi-Table Question Answering with Scalable Context and Symbolic Extension. CoRR Zipeng Qiu, You Peng, Guangxin He, Binhang Yuan, Chen Wang
2024	J	`jnl`	Zero-Indexing Internet Search Augmented Generation for Large Language Models. CoRR Guangxin He, Zonghong Dai, Jiangcheng Zhu, Binqiang Zhao, Chenyue Li, You Peng, Chen Wang, Binhang Yuan
2023	A*	`conf`	Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. ICML Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine
2023	J	`jnl`	Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. CoRR Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine
2023	A*	`conf`	CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks. ICML Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Ré, Ce Zhang
2023	A*	`conf`	Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. ICML Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen
2023	J	`jnl`	Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. CoRR Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen
2023	J	`jnl`	Exploring the Robustness of Decentralized Training for Large Language Models. CoRR Lin Lu, Chenxi Dai, Wangcheng Tao, Binhang Yuan, Yanan Sun, Pan Zhou
2023	A*	`conf`	FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. ICML Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang
2023	J	`jnl`	HexGen: Generative Inference of Foundation Model over Heterogeneous Decentralized Environment. CoRR Youhe Jiang, Ran Yan, Xiaozhe Yao, Beidi Chen, Binhang Yuan
2023	J	`jnl`	High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang
2023	J	`jnl`	Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
2023	J	`jnl`	Serving Deep Learning Model in Relational Databases. CoRR Alexandre E. Eichenberger, Qi Lin, Saif Masood, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Lixi Zhou, Jia Zou
2022	J	`jnl`	A community effort to assess and improve computerized interpretation of 12-lead resting electrocardiogram. Medical Biol. Eng. Comput. Zijian Ding, Guijin Wang, Huazhong Yang, Ping Zhang, Dapeng Fu, Zhen Yang, Xinkang Wang, Xia Wang, Zhourui Xia, Chiming Zhang, Wenjie Cai, Binhang Yuan, Dongya Jia, Bo Chen, Chengbin Huang, Jing Zhang, Yi Li, Shan Yang, Runnan He
2022	J	`jnl`	Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences. Technometrics Huaqing Jin, Guosheng Yin, Binhang Yuan, Fei Jiang
2022	A*	`conf`	Decentralized Training of Foundation Models in Heterogeneous Environments. NeurIPS Binhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang
2022	J	`jnl`	Decentralized Training of Foundation Models in Heterogeneous Environments. CoRR Binhang Yuan, Yongjun He, Jared Quincy Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang
2022	J	`jnl`	Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training. Proc. VLDB Endow. Binhang Yuan, Cameron R. Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine
2022	Misc	`conf`	Efficient flow scheduling in distributed deep learning training with echelon formation. HotNets Rui Pan, Yiming Lei, Jialong Li, Zhiqiang Xie, Binhang Yuan, Yiting Xia
2022	J	`jnl`	Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees. CoRR Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang
2022	A*	`conf`	Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees. NeurIPS Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang
2022	J	`jnl`	Holistic Evaluation of Language Models. CoRR Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
2022	—	`conf`	In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. SIGMOD Conference Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2022	A*	`conf`	Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. KDD Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu
2022	J	`jnl`	Stochastic Gradient Descent without Full Data Shuffle. CoRR Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2021	J	`jnl`	A Feature Fusion Framework and Its Application to Automatic Seizure Detection. IEEE Signal Process. Lett. Chengbin Huang, Weiting Chen, Mingsong Chen, Binhang Yuan
2021	—	`conf`	Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra. SIGMOD Conference Shangyu Luo, Dimitrije Jankov, Binhang Yuan, Chris Jermaine
2021	J	`jnl`	BAGUA: Scaling up Distributed Learning with System Relaxations. CoRR Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang
2021	J	`jnl`	BAGUA: Scaling up Distributed Learning with System Relaxations. Proc. VLDB Endow. Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang
2021	J	`jnl`	Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees. Proc. VLDB Endow. Dimitrije Jankov, Binhang Yuan, Shangyu Luo, Chris Jermaine
2021	J	`jnl`	Lachesis: Automated Partitioning for UDF-Centric Analytics. Proc. VLDB Endow. Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine
2021	J	`jnl`	Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. CoRR Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu
2021	J	`jnl`	Tensor Relational Algebra for Distributed Machine Learning System Design. Proc. VLDB Endow. Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine
2020	J	`jnl`	A Federated Learning Framework for Healthcare IoT devices. CoRR Binhang Yuan, Song Ge, Wenhui Xing
2020	J	`jnl`	Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning. SIGMOD Rec. Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
2020	J	`jnl`	Lachesis: Automated Generation of Persistent Partitionings for Big Data Applications. CoRR Jia Zou, Pratik Barhate, Amitabh Das, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine
2020	J	`jnl`	Tensor Relational Algebra for Machine Learning System Design. CoRR Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine
2019	J	`jnl`	Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning. CoRR Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
2019	J	`jnl`	Declarative Recursive Computation on an RDBMS. Proc. VLDB Endow. Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
2019	—	`conf`	Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks. MLMECH/CVII-STENT@MICCAI Binhang Yuan, Wenhui Xing
2019	J	`jnl`	Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks. CoRR Binhang Yuan, Wenhui Xing
2019	J	`jnl`	Distributed Learning of Deep Neural Networks using Independent Subnet Training. CoRR Binhang Yuan, Anastasios Kyrillidis, Christopher M. Jermaine
2019	J	`jnl`	WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection. CoRR Binhang Yuan, Chen Wang, Fei Jiang, Mingsheng Long, Philip S. Yu, Yuan Liu
2018	—	`conf`	PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. SIGMOD Conference Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine
2017	J	`jnl`	Abridging source code. Proc. ACM Program. Lang. Binhang Yuan, Vijayaraghavan Murali, Christopher M. Jermaine
2017	J	`jnl`	PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. CoRR Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine
2016	Misc	`conf`	Generating a 3D Normative Infant Cranial Model. ICCS Binhang Yuan, Ronald N. Goldman, Eric Wang, Olushola Olorunnipa, David Khechoyan
2014	J	`jnl`	Effective Video Retargeting With Jittery Assessment. IEEE Trans. Multim. Bo Yan, Binhang Yuan, Bo Yang