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ORCIDBowen Tan
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2020 – today
- 2025
[c23]Bowen Tan, Yayu Gao, Xinghua Sun:
Throughput-Optimal Multi-Link Access for Wi-Fi 7 via Multi-Agent Reinforcement Learning. WCNC 2025: 1-6- [i23]Zhengzhong Liu, Bowen Tan, Hongyi Wang, Willie Neiswanger, Tianhua Tao, Haonan Li, Fajri Koto, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Liqun Ma, Liping Tang, Nikhil Ranjan, Yonghao Zhuang, Guowei He, Renxi Wang, Mingkai Deng, Robin Algayres, Yuanzhi Li, Zhiqiang Shen, Preslav Nakov, Eric P. Xing:
LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch. CoRR abs/2501.07124 (2025) - [i22]Bowen Tan, Zheng Xu, Eric Xing, Zhiting Hu, Shanshan Wu:
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs. CoRR abs/2503.12347 (2025) - [i21]Bowen Tan, Ying Cui:
Fast MLE and MAPE-Based Device Activity Detection for Grant-Free Access via PSCA and PSCA-Net. CoRR abs/2503.15259 (2025) - 2024
- [c22]Bowen Tan, Ying Cui:
Fast MLE-Based Device Activity Detection for Massive Grant-Free Access via PSCA and PSCANet. GLOBECOM 2024: 4963-4968 - [c21]Bowen Tan, Yun Zhu, Lijuan Liu, Hongyi Wang, Yonghao Zhuang, Jindong Chen, Eric P. Xing, Zhiting Hu:
RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs. NAACL (Demonstrations) 2024: 137-147 - [c20]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:
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. NeurIPS 2024 - [i20]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:
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. CoRR abs/2410.05357 (2024) - [i19]Linfeng Xu, Fanman Meng, Qingbo Wu, Lili Pan, Heqian Qiu, Lanxiao Wang, Kailong Chen, Kanglei Geng, Yilei Qian, Haojie Wang, Shuchang Zhou, Shimou Ling, Zejia Liu, Nanlin Chen, Yingjie Xu, Shaoxu Cheng, Bowen Tan, Ziyong Xu, Hongliang Li:
ARIC: An Activity Recognition Dataset in Classroom Surveillance Images. CoRR abs/2410.12337 (2024) - [i18]Tianhua Tao, Junbo Li, Bowen Tan, Hongyi Wang, William Marshall, Bhargav Kanakiya, Joel Hestness, Natalia Vassilieva, Zhiqiang Shen, Eric P. Xing, Zhengzhong Liu:
Crystal: Illuminating LLM Abilities on Language and Code. CoRR abs/2411.04156 (2024) - 2023
- [j5]Gang Sun, Tonghai Liu, Hang Zhang, Bowen Tan, Yuwei Li:
Basic behavior recognition of yaks based on improved SlowFast network. Ecol. Informatics 78: 102313 (2023) - [c19]Yun Zhu, Xiayu Chen, Lei Shu, Bowen Tan, Xinying Song, Lijuan Liu, Maria Wang, Jindong Chen, Ning Ruan:
An Efficient Conversational Smart Compose System. ACL (demo) 2023: 456-462 - [c18]Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu:
BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models. ACL (Findings) 2023: 5000-5015 - [c17]Bowen Tan, Linfeng Xu, Zihuan Qiu, Qingbo Wu, Fanman Meng:
MFAT: A Multi-Level Feature Aggregated Transformer for Person Re-Identification. ICASSP 2023: 1-5 - [c16]Junjie He, Bowen Tan, Yayu Gao:
Reinforcement Learning based Downlink OFDMA Scheduling for Time-Sensitive WiFi Networks. ICCC 2023: 1-6 - [c15]Bowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen:
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer. NeurIPS 2023 - [c14]Kyle C. Watters, Nicholas W. Meyer, Shreya S. S. Challa, Gaurav Garre, Rohith V. Nibhanupudi, Grant Reidy, Arjun Agarwal, Nicholas Candello, Abhijat Chauhan, James DeOcampo, Eric Galluzzi, Vasisht L. Ganesh, Chenhao Hu, Sameer S. Kapoor, Nirmal Karthik, Unnathi U. Kumar, Michael Meng, James DoOcampo, Sidharth Pamidi, Kartik Parameswaran, Nimai Patel, Janhavi R. Purkar, Miguel T. Schlicht, Bowen Tan, Leyla Y. Ulku, Nathan D. Wang, Daniel Yuan, Samuel Y. Zhang, Kenny Zheng, Edward J. Coyle
:
Cognitive Wireless Networks: Research, Applications, and Testbed. WF-IoT 2023: 1-6 - [p1]Bowen Tan, Shibo Hao, Eric P. Xing, Zhiting Hu:
Neural-Symbolic Interaction and Co-Evolving. Compendium of Neurosymbolic Artificial Intelligence 2023: 125-152 - [i17]Zhiqiang Shen, Tianhua Tao, Liqun Ma, Willie Neiswanger, Zhengzhong Liu, Hongyi Wang, Bowen Tan, Joel Hestness, Natalia Vassilieva, Daria Soboleva, Eric P. Xing:
SlimPajama-DC: Understanding Data Combinations for LLM Training. CoRR abs/2309.10818 (2023) - [i16]Bowen Tan, Yun Zhu, Lijuan Liu, Hongyi Wang, Yonghao Zhuang, Jindong Chen, Eric P. Xing, Zhiting Hu:
Redco: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs. CoRR abs/2310.16355 (2023) - [i15]Bowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen:
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer. CoRR abs/2311.06720 (2023) - [i14]Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Xuguang Ren, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Tim Baldwin, Eric P. Xing:
LLM360: Towards Fully Transparent Open-Source LLMs. CoRR abs/2312.06550 (2023) - 2022
- [j4]Shaofei Jiang, Yubo Dou, Shun He, Bowen Tan, Xiang Peng, Liting Jing:
Fuzzy Concept Evaluation Based on Prospect Theory and Heterogeneous Evaluation Information. J. Comput. Inf. Sci. Eng. 22(4) (2022) - [c13]Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data. EMNLP (Findings) 2022: 6969-6991 - [i13]Shibo Hao, Bowen Tan, Kaiwen Tang, Hengzhe Zhang, Eric P. Xing, Zhiting Hu:
BertNet: Harvesting Knowledge Graphs from Pretrained Language Models. CoRR abs/2206.14268 (2022) - 2021
- [j3]Liting Jing, Bowen Tan, Shaofei Jiang, Junfeng Ma:
Additive manufacturing industrial adaptability analysis using fuzzy Bayesian Network. Comput. Ind. Eng. 155: 107216 (2021) - [c12]Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric P. Xing, Pengtao Xie:
On the Generation of Medical Dialogs for COVID-19. ACL/IJCNLP (2) 2021: 886-896 - [c11]Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. EMNLP (1) 2021: 7580-7605 - [c10]Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu:
Progressive Generation of Long Text with Pretrained Language Models. NAACL-HLT 2021: 4313-4324 - [i12]Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Text Generation with Efficient (Soft) Q-Learning. CoRR abs/2106.07704 (2021) - [i11]Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. CoRR abs/2109.06379 (2021) - 2020
- [c9]Lu Chen, Boer Lv, Chi Wang, Su Zhu, Bowen Tan, Kai Yu:
Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks. AAAI 2020: 7521-7528 - [c8]Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu:
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. EMNLP (1) 2020: 6301-6309 - [i10]Wenmian Yang, Guangtao Zeng, Bowen Tan, Zeqian Ju, Subrato Chakravorty, Xuehai He, Shu Chen, Xingyi Yang, Qingyang Wu, Zhou Yu, Eric P. Xing, Pengtao Xie:
On the Generation of Medical Dialogues for COVID-19. CoRR abs/2005.05442 (2020) - [i9]Virapat Kieuvongngam, Bowen Tan, Yiming Niu:
Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2. CoRR abs/2006.01997 (2020) - [i8]Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu:
Progressive Generation of Long Text. CoRR abs/2006.15720 (2020) - [i7]Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu:
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. CoRR abs/2010.06792 (2020)
2010 – 2019
- 2019
- [j2]Lu Chen, Zhi Chen, Bowen Tan, Sishan Long, Milica Gasic, Kai Yu:
AgentGraph: Toward Universal Dialogue Management With Structured Deep Reinforcement Learning. IEEE ACM Trans. Audio Speech Lang. Process. 27(9): 1378-1391 (2019) - [c7]Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) 2019: 159-164 - [c6]Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing:
Connecting the Dots Between MLE and RL for Sequence Generation. DeepRLStructPred@ICLR 2019 - [c5]Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing:
Learning Data Manipulation for Augmentation and Weighting. NeurIPS 2019: 15738-15749 - [i6]Lu Chen, Zhi Chen, Bowen Tan, Sishan Long, Milica Gasic, Kai Yu:
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning. CoRR abs/1905.11259 (2019) - [i5]Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing:
Learning Data Manipulation for Augmentation and Weighting. CoRR abs/1910.12795 (2019) - [i4]He Chen Li, Shi Ying Li, Bowen Tan, Shuai Cheng Li:
Crossing Reduction of Sankey Diagram with Barycentre Ordering via Markov Chain. CoRR abs/1912.05339 (2019) - 2018
- [j1]Bowen Tan, Gang Wang, Wen Yao:
超密集网络中子信道和功率分配研究 (Study of Sub-channel and Power Allocation in Ultra-dense Networks). 计算机科学 45(6A): 279-282 (2018) - [c4]Lu Chen, Bowen Tan, Sishan Long, Kai Yu:
Structured Dialogue Policy with Graph Neural Networks. COLING 2018: 1257-1268 - [c3]Lu Chen, Cheng Chang, Zhi Chen, Bowen Tan, Milica Gasic, Kai Yu:
Policy Adaptation for Deep Reinforcement Learning-Based Dialogue Management. ICASSP 2018: 6074-6078 - [c2]Bowen Tan, Jiaqi Yan, Si Chen, Xingchen Liu:
The Impact of Blockchain on Food Supply Chain: The Case of Walmart. SmartBlock 2018: 167-177 - [i3]Bowen Tan, Nayun Xu, Bingyu Kong:
Autonomous Driving in Reality with Reinforcement Learning and Image Translation. CoRR abs/1801.05299 (2018) - [i2]Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR abs/1809.00794 (2018) - [i1]Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing:
Connecting the Dots Between MLE and RL for Sequence Generation. CoRR abs/1811.09740 (2018) - 2016
- [c1]Bowen Tan, Zhe Zhang, Zicheng Zhao, Shengbin Li, Shuai Cheng Li:
Finding more effective microsatellite markers for forensics. BIBM 2016: 658-663
Coauthor Index
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