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Qibin Chen
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2020 – today
- 2024
- [j5]Yihong Gong, Qibin Chen
, Ruiyong Tu, Sini Wu, Jin Xie, Qiyan Sun, Jing-Hu Li
, Zhicong Luo
:
A 10-Gb/s low-power inverter-based optical receiver front-end in 0.13-μm CMOS process. Integr. 94: 102104 (2024) - [c14]Ruge Xu, Qiang Duan, Qibin Chen, Xinfei Guo:
ILD-MPQ: Learning-Free Mixed-Precision Quantization with Inter-Layer Dependency Awareness. AICAS 2024: 512-516 - [c13]Guangxin Wang
, Xue Li
, Dongshen Guo
, Qiang Duan
, Qibin Chen
, Kai Jiang
, Rui Li
, Zizhong Wei
:
Zero-shot Behavior Detection Based on Multimodal Large Language Model Expansion. CNIOT 2024 - [i9]Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (2024) - 2023
- [j4]Yaonan Zhu
, Bingheng Jiang
, Qibin Chen
, Tadayoshi Aoyama
, Yasuhisa Hasegawa
:
A Shared Control Framework for Enhanced Grasping Performance in Teleoperation. IEEE Access 11: 69204-69215 (2023) - [j3]Ruiyong Tu, Sini Wu, Qibin Chen
, Yihong Gong, Jin Xie, Jinghu Li, Zhicong Luo
:
A rail-to-rail high speed continuous time comparator for ToF application. IEICE Electron. Express 20(18): 20230314 (2023) - [j2]Qibin Chen
, Yihong Gong, Ruiyong Tu, Jin Xie, Haiyan Dai, Yinrong Chen, Rongshan Wei, Jinghu Li
, Zhicong Luo
:
A 1.2-V 0.959-ppm/°C multi-section curvature-compensated bandgap voltage reference with trimming. Microelectron. J. 136: 105769 (2023) - [c12]Kai Jiang
, Tong Yang
, Xue Li
, Zizhong Wei
, Qibin Chen
, Qiang Duan
, Junzheng Ge
, Lei Zhang
, Guangxin Wang
, Jiahao Shao
, Rui Li
:
Method for Generalized Structured Information Extraction from Cards Based on Custom Template Matching. AISNS 2023: 93-98 - [c11]Tong Yang, Yuguo Liu, Changxin Jin, Kai Jiang, Qiang Duan, Chen Song, Qibin Chen, Xue Li, Junzheng Ge, Rui Li:
Printed Circuit Board Defect Detection Based on Improved YOLOv5. ICICT 2023: 72-77 - [c10]Yukuo Cen
, Zhenyu Hou
, Yan Wang
, Qibin Chen
, Yizhen Luo
, Zhongming Yu
, Hengrui Zhang
, Xingcheng Yao
, Aohan Zeng
, Shiguang Guo
, Yuxiao Dong
, Yang Yang
, Peng Zhang
, Guohao Dai
, Yu Wang
, Chang Zhou
, Hongxia Yang
, Jie Tang
:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758 - [i8]Qibin Chen, Yaonan Zhu, Kay Hansel, Tadayoshi Aoyama, Yasuhisa Hasegawa:
Human Preferences and Robot Constraints Aware Shared Control for Smooth Follower Motion Execution. CoRR abs/2307.16523 (2023) - 2022
- [c9]Qibin Chen, Yijin Teng, Hui Zhang, Kai Jiang, Qiang Duan, Xue Li, Xinxin Zhao, Rui Li:
Post-Training Quantization for Longformer with Chunkwise Quantization Granularity and Optimized Percentile. ICCCS 2022: 27-31 - [c8]Qibin Chen
, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. ICSE 2022: 2327-2339 - [c7]Xue Li, Kai Jiang, Qiang Duan, Rui Li, Yang Tian, Qibin Chen, Xiangyu Zhu, Yongfei Jia, Hui Zhang:
Does Large Pretrained Dataset Always Help? On the Effect of Dataset Size on Big Transfer Model. Intelligent Information Processing 2022: 136-147 - [c6]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
Augmenting Decompiler Output with Learned Variable Names and Types. USENIX Security Symposium 2022: 4327-4343 - 2021
- [j1]Shangkun Li
, Wei Dan, Lihao Chen, Bin Wu, Li Ren, Yu Wei, Qibin Chen, Su Min:
The Investigation of Behavior Change in EEG Signals During Induction of Anesthesia. Int. J. Pattern Recognit. Artif. Intell. 35(14): 2158010:1-2158010:15 (2021) - [i7]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR abs/2103.00959 (2021) - [i6]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
Augmenting Decompiler Output with Learned Variable Names and Types. CoRR abs/2108.06363 (2021) - [i5]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. CoRR abs/2112.02650 (2021) - 2020
- [c5]Jiezhong Qiu, Qibin Chen
, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang:
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. KDD 2020: 1150-1160 - [i4]Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang:
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. CoRR abs/2006.09963 (2020)
2010 – 2019
- 2019
- [c4]Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. ACL (1) 2019: 2694-2703 - [c3]Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. EMNLP/IJCNLP (1) 2019: 1803-1813 - [c2]Qibin Chen, Yang Tang, Elena A. Lomonova:
Torque optimization of Synchronous Reluctance Motor for Electric Powertrain Application. EVER 2019: 1-7 - [c1]Qibin Chen
, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. KDD 2019: 3040-3050 - [i3]Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. CoRR abs/1903.12457 (2019) - [i2]Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. CoRR abs/1905.05460 (2019) - [i1]Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. CoRR abs/1908.05391 (2019)
Coauthor Index

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