Zhi Wang

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All published works

Action	Title	Year	Authors
+ PDF Chat	DragScene: Interactive 3D Scene Editing with Single-view Drag Instructions	2024	Chenghao Gu Zhenzhe Li Zhengqi Zhang Yunpeng Bai Shuzhao Xie Zhi Wang
+ PDF Chat	EMS: Adaptive Evict-then-Merge Strategy for Head-wise KV Cache Compression Based on Global-Local Importance	2024	Yingxin Li Ye Li Yuan Meng Xinzhu Ma Zihan Geng Shu‐Tao Xia Zhi Wang
+ PDF Chat	SegEarth-OV: Towards Traning-Free Open-Vocabulary Segmentation for Remote Sensing Images	2024	Kaiyu Li Ruixun Liu Xiangyong Cao Deyu Meng Zhi Wang
+	CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model	2024	Peng Di Jianguo Li Hang Yu Wei Jiang Wenting Cai Yang Cao Chaoyu Chen Dajun Chen Hongwei Chen L. Chen
+	CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model	2023	Peng Di Jianguo Li Hang Yu Wei Jiang Wenting Cai Yang Cao Chaoyu Chen Dajun Chen Hongwei Chen L. Chen
+ PDF Chat	Statistical Analysis of Multi-Relational Network Recovery	2020	Zhi Wang Xueying Tang Jingchen Liu
+	Load Balancing for Ultradense Networks: A Deep Reinforcement Learning-Based Approach	2019	Yue Xu Wenjun Xu Zhi Wang Jiaru Lin Shuguang Cui
+	Handover Control in Wireless Systems via Asynchronous Multiuser Deep Reinforcement Learning	2018	Zhi Wang Lihua Li Yue Xu Hui Tian Shuguang Cui
+	Handover Control in Wireless Systems via Asynchronous Multi-User Deep Reinforcement Learning	2018	Zhi Wang Yue Xu Lihua Li Hui Tian Shuguang Cui
+	Numerical Methods in Solving the Combined Boundary Problem Emerging in Analyzing the Drive Flow Using the Parallel Computing	2011	Zhi Wang

Common Coauthors

Coauthor	Papers Together
Shuguang Cui	3
Yue Xu	3
Jie Gong	2
Lingjia Zhu	2
Tingting Guo	2
Zheng Li	2
Bingchang Liu	2
Gehao Zhang	2
Zelin Zhao	2
Zi Gong	2
Yang Cao	2
Ting Li	2
Peng Di	2
Hui Tian	2
Zhiwei Liu	2
Gang Fan	2
Wei Jiang	2
Ming Liang	2
Xunjin Zheng	2
Hongwei Chen	2
Yu Zhang	2
Jianguo Li	2
Hang Yu	2
Lihua Li	2
Chaoyu Chen	2
Wenting Cai	2
Wen Hu	2
Zhichao Lei	2
Jiachen Liu	2
Qing Ye	2
Min Shen	2
Dajun Chen	2
Jiawei Yang	2
Shaojun Lu	2
Guangpei Wang	2
X Zhu	2
Hailian Zhou	2
Huan Wang	2
Zhaogui Xu	2
L. Chen	2
Cong Liao	2
Xiangyong Cao	1
Xinzhu Ma	1
Chenghao Gu	1
Ruixun Liu	1
Shu‐Tao Xia	1
Yingxin Li	1
Deyu Meng	1
Zhenzhe Li	1
Xueying Tang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	3
+	Handover Management in 5G and Beyond: A Topology Aware Skipping Approach	2016	Rabe Arshad Hesham ElSawy Sameh Sorour Tareq Y. Al-Naffouri Mohamed‐Slim Alouini	2
+	Some methods for classification and analysis of multivariate observations	1967	James B. MacQueen	2
+ PDF Chat	Competition-level code generation with AlphaCode	2022	Yujia Li David Choi Jun‐Young Chung Nate Kushman Julian Schrittwieser Rémi Leblond Tom Eccles James Keeling Felix Gimeno Agustin Dal Lago	2
+ PDF Chat	ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding	2020	Yu Sun Shuohuan Wang Yukun Li Shikun Feng Hao Tian Hua Wu Haifeng Wang	2
+ PDF Chat	Towards Understanding the Fundamentals of Mobility in Cellular Networks	2013	Xingqin Lin Radha Krishna Ganti Philip J. Fleming Jeffrey G. Andrews	2
+ PDF Chat	ZeRO: Memory optimizations Toward Training Trillion Parameter Models	2020	Samyam Rajbhandari Jeff Rasley Olatunji Ruwase Yuxiong He	2
+ PDF Chat	Automated conformance testing for JavaScript engines via deep compiler fuzzing	2021	Guixin Ye Zhanyong Tang Shin Hwei Tan Songfang Huang Dingyi Fang Xiaoyang Sun Lizhong Bian Haibo Wang Zheng Wang	2
+	GPT-NeoX-20B: An Open-Source Autoregressive Language Model	2022	Sidney Black Stella Biderman Eric Hallahan Quentin Anthony Leo Gao Laurence Golding Horace He Connor Leahy Kyle McDonell Jason Phang	2
+ PDF Chat	An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation	2023	Max Schäfer Sarah Nadi Aryaz Eghbali Frank Tip	2
+	End to End Learning for Self-Driving Cars	2016	Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Müller Jiakai Zhang	2
+	Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening	2016	Frank He Yang Liu Alexander G. Schwing Jian Peng	2
+	Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization	2015	Xiangru Lian Yijun Huang Yuncheng Li Ji Liu	2
+	Dueling Network Architectures for Deep Reinforcement Learning	2015	Ziyu Wang Tom Schaul Matteo Hessel Hado van Hasselt Marc Lanctot Nando de Freitas	1
+	Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial	2019	Mingzhe Chen Ursula Challita Walid Saad Changchuan Yin Mérouane Debbah	1
+	Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening	2016	Frank He Yang Liu Alexander G. Schwing Jian Peng	1
+ PDF Chat	A Survey of Anticipatory Mobile Networking: Context-Based Classification, Prediction Methodologies, and Optimization Techniques	2017	Nicola Bui Matteo Cesana Seyed Amir Hossein Hosseini Qi Liao Ilaria Malanchini Joerg Widmer	1
+	Reinforcement Learning-Based Multiaccess Control and Battery Prediction With Energy Harvesting in IoT Systems	2018	Man Chu Hang Li Xuewen Liao Shuguang Cui	1
+	Handover Control in Wireless Systems via Asynchronous Multiuser Deep Reinforcement Learning	2018	Zhi Wang Lihua Li Yue Xu Hui Tian Shuguang Cui	1
+	A Non-Stochastic Learning Approach to Energy Efficient Mobility Management	2016	Cong Shen Cem Tekin Mihaela van der Schaar	1
+	Safe and Efficient Off-Policy Reinforcement Learning	2016	Rémi Munos Tom Stepleton Anna Harutyunyan Marc G. Bellemare	1
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	1
+ PDF Chat	Ultra-Dense HetNets Meet Big Data: Green Frameworks, Techniques, and Approaches	2018	Yuzhou Li Yu Zhang Kai Luo Tao Jiang Zan Li Wei Peng	1
+ PDF Chat	User-Centric C-RAN Architecture for Ultra-Dense 5G Networks: Challenges and Methodologies	2018	Cunhua Pan Maged Elkashlan Jiangzhou Wang Jinhong Yuan Lajos Hanzo	1
+	Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism	2019	Mohammad Shoeybi Mostofa Patwary Raul Puri Patrick LeGresley Jared Casper Bryan Catanzaro	1
+ PDF Chat	Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization	2019	Alexander Jung Alfred O. Hero Alexandru Mara Saeed Jahromi Ayelet Heimowitz Yonina C. Eldar	1
+	The Pile: An 800GB Dataset of Diverse Text for Language Modeling	2021	Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe Charles Wilmer Foster Jason Phang Horace He Anish Thite Noa Nabeshima	1
+	Evaluating Large Language Models Trained on Code	2021	Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé de Oliveira Pinto Jared Kaplan Harrison Edwards Yuri Burda Nicholas Joseph Greg Brockman	1
+ PDF Chat	CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation	2021	Yue Wang Weishi Wang Shafiq Joty Steven C. H. Hoi	1
+	InCoder: A Generative Model for Code Infilling and Synthesis	2022	Daniel Fried Armen Aghajanyan Jessy Lin Sida Wang Eric Wallace Freda Shi Ruiqi Zhong Wen-tau Yih Luke Zettlemoyer Michael Lewis	1
+	PaLM: Scaling Language Modeling with Pathways	2022	Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra Adam Roberts Paul Barham Hyung Won Chung Charles Sutton Sebastian Gehrmann	1
+	Training Compute-Optimal Large Language Models	2022	Jordan Hoffmann Sebastian Borgeaud Arthur Mensch Elena Buchatskaya Trevor Cai Eliza Rutherford Diego de Las Casas Lisa Anne Hendricks Johannes Welbl Aidan Clark	1
+	Scaling Language Models: Methods, Analysis & Insights from Training Gopher	2021	Jack W. Rae Sebastian Borgeaud Trevor Cai Katie Millican Jordan Hoffmann Francis Song John Aslanides Sarah B. Henderson Roman Ring Susannah Young	1
+	ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation	2021	Shuohuan Wang Yu Sun Yang Xiang Zhihua Wu Siyu Ding Weibao Gong Shikun Feng Junyuan Shang Yanbin Zhao Chao Pang	1
+	CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis	2022	Erik Nijkamp Bo Pang Hiroaki Hayashi Lifu Tu Huan Wang Yingbo Zhou Silvio Savarese Caiming Xiong	1
+	FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness	2022	Tri Dao Daniel Y. Fu Stefano Ermon Atri Rudra Christopher Ré	1
+	Program Synthesis with Large Language Models	2021	Jacob Austin Augustus Odena Maxwell Nye Maarten Bosma Henryk Michalewski David Dohan Ellen Jiang Carrie J. Cai Michael Terry Quoc V. Le	1
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin F. Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	1
+	GLM-130B: An Open Bilingual Pre-trained Model	2022	Aohan Zeng Xiao Liu Zhengxiao Du Zihan Wang Hanyu Lai Ming Ding Zhuoyi Yang Yifan Xu Wendi Zheng Xiao Xia	1
+	GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers	2022	Elias Frantar Saleh Ashkboos Torsten Hoefler Dan Alistarh	1
+	The Stack: 3 TB of permissively licensed source code	2022	Denis Kocetkov Raymond Li Loubna Ben Allal Jia Li Chenghao Mou Carlos Muñoz Ferrandis Yacine Jernite Margaret Mitchell Sean Hughes Thomas Wolf	1
+	SantaCoder: don't reach for the stars!	2023	Loubna Ben Allal Raymond Li Denis Kocetkov Chenghao Mou Christopher Akiki Carlos Munoz Ferrandis Niklas Muennighoff Mayank Mishra Alex Gu Manan Dey	1
+	LLaMA: Open and Efficient Foundation Language Models	2023	Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux Timothée Lacroix Baptiste Rozière Naman Goyal Eric Hambro Faisal Azhar	1
+	GPT-4 Technical Report	2023	OpenAI	1
+	CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X	2023	Qinkai Zheng Xiao Xia Xu Zou Yuxiao Dong Shan Wang Yufei Xue Zihan Wang Lei Shen Andi Wang Yang Li	1
+	A Survey of Large Language Models	2023	Wayne Xin Zhao Kun Zhou Junyi Li Tianyi Tang Xiaolei Wang Yupeng Hou Yingqian Min Beichen Zhang Junjie Zhang Zican Dong	1
+	StarCoder: may the source be with you!	2023	Raymond Li Loubna Ben Allal Yangtian Zi Niklas Muennighoff Denis Kocetkov Chenghao Mou Marc Marone Christopher Akiki Jia Li Jenny Chim	1
+	PaLM 2 Technical Report	2023	Rohan Anil Andrew M. Dai Orhan Fırat Melvin Johnson Dmitry Lepikhin A. M. A. dos Passos Siamak Shakeri Emanuel Taropa Paige Bailey Zhifeng Chen	1
+	WizardCoder: Empowering Code Large Language Models with Evol-Instruct	2023	Ziyang Luo Can Xu Pu Zhao Qing-Feng Sun Xiubo Geng Wenxiang Hu Chongyang Tao Jing Ma Qingwei Lin Daxin Jiang	1
+ PDF Chat	Load Balancing for 5G Ultra-Dense Networks Using Device-to-Device Communications	2018	Hongliang Zhang Lingyang Song Ying–Jun Angela Zhang	1