Yunzhe Tao - RankMe

35 papers A* 7A 1Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model. CoRR Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang
2024	A*	`conf`	B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. ICLR Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
2024	J	`jnl`	BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data. CoRR Xuwu Wang, Qiwen Cui, Yunzhe Tao, Yiran Wang, Ziwei Chai, Xiaotian Han, Boyi Liu, Jianbo Yuan, Jing Su, Guoyin Wang, Tingkai Liu, Liyu Chen, Tianyi Liu, Tao Sun, Yufeng Zhang, Sirui Zheng, Quanzeng You, Yang Yang, Hongxia Yang
2024	—	`conf`	DeVAn: Dense Video Annotation for Video-Language Models. ACL (1) Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang
2024	—	`conf`	Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction. ACL (1) Yiren Jian, Tingkai Liu, Yunzhe Tao, Chunhui Zhang, Soroush Vosoughi, Hongxia Yang
2024	J	`jnl`	FullStack Bench: Evaluating LLMs as Full Stack Coders. CoRR Yao Cheng, Jianfeng Chen, Jie Chen, Li Chen, Liyu Chen, Wentao Chen, Zhengyu Chen, Shijie Geng, Aoyan Li, Bo Li, Bowen Li, Linyi Li, Boyi Liu, Jerry Liu, Kaibo Liu, Qi Liu, Shukai Liu, Siyao Liu, Tianyi Liu, Tingkai Liu, Yongfei Liu, Rui Long, Jing Mai, Guanghan Ning, Z. Y. Peng, Kai Shen, Jiahao Su, Jing Su, Tao Sun, Yifan Sun, Yunzhe Tao, Guoyin Wang, Siwei Wang, Xuwu Wang, Yite Wang, Zihan Wang, Jinxiang Xia, Liang Xiang, Xia Xiao, Yongsheng Xiao, Chenguang Xi, Shulin Xin, Jingjing Xu, Shikun Xu, Hongxia Yang, Jack Yang, Yingxiang Yang, Jianbo Yuan, Jun Zhang, Yufeng Zhang, Yuyu Zhang, Shen Zheng, He Zhu, Ming Zhu
2024	J	`jnl`	InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding. CoRR Haogeng Liu, Quanzeng You, Xiaotian Han, Yiqi Wang, Bohan Zhai, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang
2024	—	`conf`	InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. ACL (Findings) Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang
2024	J	`jnl`	ViTAR: Vision Transformer with Any Resolution. CoRR Qihang Fan, Quanzeng You, Xiaotian Han, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang
2023	J	`jnl`	B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. CoRR Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
2023	A	`conf`	DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. WSDM Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
2023	J	`jnl`	SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models. CoRR Yiren Jian, Tingkai Liu, Yunzhe Tao, Soroush Vosoughi, Hongxia Yang
2023	J	`jnl`	Video-CSR: Complex Video Digest Creation for Visual-Language Models. CoRR Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang
2023	J	`jnl`	Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling. CoRR Haogeng Liu, Qihang Fan, Tingkai Liu, Linjie Yang, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang
2022	J	`jnl`	DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. CoRR Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
2021	—	`conf`	A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems. DialDoc@ACL-IJCNLP Dingmin Wang, Ziyao Chen, Wanwei He, Li Zhong, Yunzhe Tao, Min Yang
2021	J	`jnl`	A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems. CoRR Dingmin Wang, Ziyao Chen, Wanwei He, Li Zhong, Yunzhe Tao, Min Yang
2021	—	`conf`	Gated Transformer for Decoding Human Brain EEG Signals. EMBC Yunzhe Tao, Tao Sun, Aashiq Muhamed, Sahika Genc, Dylan Jackson, Ali Arsanjani, Suri Yaddanapudi, Liang Li, Prachi Kumar
2021	A*	`conf`	REPAINT: Knowledge Transfer in Deep Reinforcement Learning. ICML Yunzhe Tao, Sahika Genc, Jonathan Chung, Tao Sun, Sunil Mallya
2020	A*	`conf`	DeepRacer: Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning. ICRA Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy
2020	J	`jnl`	REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning. CoRR Yunzhe Tao, Sahika Genc, Tao Sun, Sunil Mallya
2020	A*	`conf`	Robust Multi-Agent Reinforcement Learning with Model Uncertainty. NeurIPS Kaiqing Zhang, Tao Sun, Yunzhe Tao, Sahika Genc, Sunil Mallya, Tamer Basar
2020	J	`jnl`	Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks. CoRR Sahika Genc, Sunil Mallya, Sravan Bodapati, Tao Sun, Yunzhe Tao
2019	J	`jnl`	DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning. CoRR Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy
2019	J	`jnl`	FineText: Text Classification via Attention-based Language Model Fine-tuning. CoRR Yunzhe Tao, Saurabh Gupta, Satyapriya Krishna, Xiong Zhou, Orchid Majumder, Vineet Khare
2019	J	`jnl`	Nonlocal Models with Heterogeneous Localization and Their Application to Seamless Local-Nonlocal Coupling. Multiscale Model. Simul. Yunzhe Tao, Xiaochuan Tian, Qiang Du
2018	A*	`conf`	A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization. IJCAI Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du
2018	J	`jnl`	A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization. CoRR Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du
2018	A*	`conf`	Explaining Deep Learning Models - A Bayesian Non-parametric Approach. NeurIPS Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin
2018	J	`jnl`	Explaining Deep Learning Models - A Bayesian Non-parametric Approach. CoRR Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin
2018	J	`jnl`	Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction. CoRR Yunzhe Tao, Lin Ma, Weizhong Zhang, Jian Liu, Wei Liu, Qiang Du
2018	A*	`conf`	Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling. NeurIPS Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu
2018	J	`jnl`	Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling. CoRR Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu
2018	J	`jnl`	Stochastic Training of Residual Networks: a Differential Equation Viewpoint. CoRR Qi Sun, Yunzhe Tao, Qiang Du
2017	J	`jnl`	Nonlocal diffusion and peridynamic models with Neumann type constraints and their numerical approximations. Appl. Math. Comput. Yunzhe Tao, Xiaochuan Tian, Qiang Du