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ORCIDJiaqi Zeng
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2020 – today
- 2024
[j8]Shijie Li, Hongji Xu, Jie Xu, Xiaoman Li, Yang Wang, Jiaqi Zeng, Jianjun Li, Xinya Li, Yiran Li, Wentao Ai:
Inconsistency elimination of multi-source information fusion in smart home using the Dempster-Shafer evidence theory. Inf. Process. Manag. 61(4): 103723 (2024)- [j7]Jianjun Li
, Hongji Xu, Jiaqi Zeng, Wentao Ai, Shijie Li, Xiaoman Li, Xinya Li:
Radar-Based Human Activity Recognition Using Dual-Stream Spatial and Temporal Feature Fusion Network. IEEE Trans. Aerosp. Electron. Syst. 60(2): 1835-1847 (2024) - [j6]Chunguang He, Dianhai Wang, Zhengyi Cai, Jiaqi Zeng, Fengjie Fu:
A Vehicle Matching Algorithm by Maximizing Travel Time Probability Based on Automatic License Plate Recognition Data. IEEE Trans. Intell. Transp. Syst. 25(8): 9103-9114 (2024) - [j5]Jiaqi Zeng, Yulang Huang, Guozheng Zhang, Zhengyi Cai, Dianhai Wang:
Travel Mode Identification for Non-Uniform Passive Mobile Phone Data. IEEE Trans. Intell. Transp. Syst. 25(9): 11103-11116 (2024) - [c10]Makesh Narsimhan Sreedhar, Traian Rebedea, Shaona Ghosh, Jiaqi Zeng, Christopher Parisien:
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues. EMNLP (Findings) 2024: 12232-12252 - [c9]Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev:
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning. EMNLP 2024: 19425-19432 - [c8]Zhenwei Xu, Jiaqi Zeng, Yaoyong Zhou, Qing Yu, Wushouer Silamu:
Optimizing Vehicle Trajectories and Ensuring Pedestrian Safety in Complex Traffic. ICCBR Workshops 2024: 96-111 - [c7]Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev:
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. NAACL-HLT 2024: 3371-3384 - [c6]Ruisheng Shi, Zhiyuan Peng, Tong Fu, Lina Lan, Jiaqi Zeng, Yuyang Shi, Jinqiao Shi, Shenwen Lin, Lin Li:
An Identity Alignment Method based on Online Tracking. WWW (Companion Volume) 2024: 609-612 - [i9]Gerald Shen, Zhilin Wang, Olivier Delalleau, Jiaqi Zeng, Yi Dong, Daniel Egert, Shengyang Sun, Jimmy J. Zhang, Sahil Jain, Ali Taghibakhshi, Markel Sanz Ausin, Ashwath Aithal, Oleksii Kuchaiev:
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment. CoRR abs/2405.01481 (2024) - [i8]Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy J. Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev:
HelpSteer2: Open-source dataset for training top-performing reward models. CoRR abs/2406.08673 (2024) - [i7]Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu:
Nemotron-4 340B Technical Report. CoRR abs/2406.11704 (2024) - [i6]Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev:
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning. CoRR abs/2407.04528 (2024) - [i5]Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong:
HelpSteer2-Preference: Complementing Ratings with Preferences. CoRR abs/2410.01257 (2024) - 2023
- [j4]Jie Xu, Hongji Xu, Shijie Li, Shuang Zhou, Mengmeng Wang, Yuhao Wang, Jiaqi Zeng, Jianjun Li, Xiaoman Li, Yiran Li, Xinya Li, Wentao Ai, Yang Wang:
A new context correctness measure CMoC and corresponding context inconsistency elimination algorithm. Inf. Sci. 649: 119532 (2023) - [j3]Shuang Zhou, Hongji Xu, Zhiquan Bai, Zhengfeng Du, Jiaqi Zeng, Yang Wang, Yuhao Wang, Shijie Li, Mengmeng Wang, Yiran Li, Jianjun Li, Jie Xu:
A multidimensional feature fusion network based on MGSE and TAAC for video-based human action recognition. Neural Networks 168: 496-507 (2023) - [i4]Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev:
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. CoRR abs/2311.09528 (2023) - 2022
- [j2]Jie Xing, Ruiyang Zhai, Cong Wang, Honghao Liu, Jiaqi Zeng, Dianshuang Zhou, Mengyan Zhang, Liru Wang, Qiong Wu, Yue Gu, Yan Zhang:
DiseaseMeth version 3.0: a major expansion and update of the human disease methylation database. Nucleic Acids Res. 50(D1): 1208-1215 (2022) - 2021
- [j1]Wu Yang, Chonglei Zhang, Jiaqi Zeng, Wei Song:
Ultrasonic signal detection based on Fabry-Perot cavity sensor. Vis. Comput. Ind. Biomed. Art 4(1): 8 (2021) - [c5]Jiaqi Zeng, Pengtao Xie:
Contrastive Self-supervised Learning for Graph Classification. AAAI 2021: 10824-10832 - [c4]Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu:
Uncovering Main Causalities for Long-tailed Information Extraction. EMNLP (1) 2021: 9683-9695 - [c3]Xingcai Wu, Yucheng Xie, Jiaqi Zeng, Zhenguo Yang, Yi Yu, Qing Li, Wenyin Liu:
Adversarial Learning with Mask Reconstruction for Text-Guided Image Inpainting. ACM Multimedia 2021: 3464-3472 - [i3]Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu:
Uncovering Main Causalities for Long-tailed Information Extraction. CoRR abs/2109.05213 (2021) - 2020
- [c2]Guangtao Zeng, Wenmian Yang, Zeqian Ju, Yue Yang, Sicheng Wang, Ruisi Zhang, Meng Zhou, Jiaqi Zeng, Xiangyu Dong, Ruoyu Zhang, Hongchao Fang, Penghui Zhu, Shu Chen, Pengtao Xie:
MedDialog: Large-scale Medical Dialogue Datasets. EMNLP (1) 2020: 9241-9250 - [c1]Jinjie Lu, Waixi Liu, Yinghao Zhu, Sen Ling, Zhitao Chen, Jiaqi Zeng:
Scheduling mix-flow in SD-DCN based on Deep Reinforcement Learning with Private Link. MSN 2020: 395-401 - [i2]Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, Pengtao Xie:
MedDialog: A Large-scale Medical Dialogue Dataset. CoRR abs/2004.03329 (2020) - [i1]Jiaqi Zeng, Pengtao Xie:
Contrastive Self-supervised Learning for Graph Classification. CoRR abs/2009.05923 (2020)
Coauthor Index
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