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ORCIDJiaqi Zeng
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j11]Xinya Li, Hongji Xu
, Yang Wang, Jiaqi Zeng, Yiran Li, Xiaoman Li, Wentao Ai, Hao Zheng, Yupeng Duan:
An Efficient Hierarchical Multiscale and Multidimensional Feature Adaptive Fusion Network for Human Activity Recognition Using Wearable Sensors. IEEE Internet Things J. 12(6): 6492-6505 (2025)- [j10]Chengzhi Zhang, Jiaqi Zeng, Yi Zhao:
Is higher team gender diversity correlated with better scientific impact? J. Informetrics 19(2): 101662 (2025) - [j9]Jiaqi Zeng, Zhengyi Cai, Yulang Huang, Meng Zhang, Meng Sun, Sheng Jin, Dianhai Wang:
Advancing Fine-Grained Travel Mode Identification in Real Mobile Phone Signaling Data: A Deep Learning Approach. IEEE Trans. Intell. Transp. Syst. 26(6): 8558-8570 (2025) - [c13]Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Daniel Egert, Ellie Evans, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev:
HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks. ACL (1) 2025: 25640-25662 - [c12]Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong:
HelpSteer2-Preference: Complementing Ratings with Preferences. ICLR 2025 - [i16]Shengyang Sun, Yian Zhang, Alexander Bukharin, David Mosallanezhad, Jiaqi Zeng, Soumye Singhal, Gerald Shen, Adithya Renduchintala, Tugrul Konuk, Yi Dong, Zhilin Wang, Dmitry Chichkov, Olivier Delalleau, Oleksii Kuchaiev:
Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment. CoRR abs/2502.00203 (2025) - [i15]Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Daniel Egert, Ellie Evans, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev:
Dedicated Feedback and Edit Models Empower Inference-Time Scaling for Open-Ended General-Domain Tasks. CoRR abs/2503.04378 (2025) - [i14]Aaron Blakeman, Aarti Basant, Abhinav Khattar, Adithya Renduchintala, Akhiad Bercovich, Aleksander Ficek, Alexis Bjorlin, Ali Taghibakhshi, Amala Sanjay Deshmukh, Ameya Sunil Mahabaleshwarkar, Andrew Tao, Anna Shors, Ashwath Aithal, Ashwin Poojary, Ayush Dattagupta, Balaram Buddharaju, Bobby Chen, Boris Ginsburg, Boxin Wang, Brandon Norick, Brian Butterfield, Bryan Catanzaro, Carlo del Mundo, Chengyu Dong, Christine Harvey, Christopher Parisien, Dan Su, Daniel Korzekwa, Danny Yin, Daria Gitman, David Mosallanezhad, Deepak Narayanan, Denys Fridman, Dima Rekesh, Ding Ma, Dmytro Pykhtar, Dong Ahn, Duncan Riach, Dusan Stosic, Eileen Long, Elad Segal, Ellie Evans, Eric Chung, Erick Galinkin, Evelina Bakhturina, Ewa Dobrowolska, Fei Jia, Fuxiao Liu, Gargi Prasad, Gerald Shen, Guilin Liu, Guo Chen, Haifeng Qian, Helen Ngo, Hongbin Liu, Hui Li, Igor Gitman, Ilia Karmanov, Ivan Moshkov, Izik Golan, Jan Kautz, Jane Polak Scowcroft, Jared Casper, Jarno Seppänen, Jason Lu, Jason Sewall, Jiaqi Zeng, Jiaxuan You, Jimmy Zhang, Jing Zhang, Jining Huang, Jinze Xue, Jocelyn Huang, Joey Conway, John Kamalu, Jon Barker, Jonathan M. Cohen, Joseph Jennings, Jupinder Parmar, Karan Sapra, Kari Briski, Kateryna Chumachenko, Katherine Luna, Keshav Santhanam, Kezhi Kong, Kirthi Sivamani, Krzysztof Pawelec, Kumar Anik, Kunlun Li, Lawrence McAfee, Leon Derczynski, Lindsey Pavao, Luis Vega, Lukas Voegtle, Maciej Bala, Maer Rodrigues de Melo, Makesh Narsimhan Sreedhar, Marcin Chochowski, Markus Kliegl:
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. CoRR abs/2504.03624 (2025) - [i13]Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Hoo-Chang Shin, Felipe Soares, Alexander Bukharin, Ellie Evans, Yi Dong, Oleksii Kuchaiev:
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages. CoRR abs/2505.11475 (2025) - [i12]Mingjie Liu, Shizhe Diao, Jian Hu, Ximing Lu, Xin Dong, Hao Zhang, Alexander Bukharin, Shaokun Zhang, Jiaqi Zeng, Makesh Narsimhan Sreedhar, Gerald Shen, David Mosallanezhad, Di Zhang, Jonas Yang, June Yang, Oleksii Kuchaiev, Guilin Liu, Zhiding Yu, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong:
Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training. CoRR abs/2507.12507 (2025) - [i11]Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, Abhinav Khattar, Adithya Renduchintala, Aditya Malte, Akhiad Bercovich, Akshay Hazare, Alejandra Rico, Aleksander Ficek, Alex Kondratenko, Alex Shaposhnikov, Alexander Bukharin, Ali Taghibakhshi, Amelia Barton, Ameya Sunil Mahabaleshwarkar, Amy Shen, Andrew Tao, Ann Guan, Anna Shors, Anubhav Mandarwal, Arham Mehta, Arun Venkatesan, Ashton Sharabiani, Ashwath Aithal, Ashwin Poojary, Ayush Dattagupta, Balaram Buddharaju, Banghua Zhu, Barnaby Simkin, Bilal Kartal, Bita Darvish Rouhani, Bobby Chen, Boris Ginsburg, Brandon Norick, Brian Yu, Bryan Catanzaro, Charles Wang, Charlie Truong, Chetan Mungekar, Chintan Patel, Chris Alexiuk, Christian Munley, Christopher Parisien, Dan Su, Daniel Afrimi, Daniel Korzekwa, Daniel Rohrer, Daria Gitman, David Mosallanezhad, Deepak Narayanan, Dima Rekesh, Dina Yared, Dmytro Pykhtar, Dong Ahn, Duncan Riach, Eileen Long, Elliott Ning, Eric Chung, Erick Galinkin, Evelina Bakhturina, Gargi Prasad, Gerald Shen, Haifeng Qian, Haim Elisha, Harsh Sharma, Hayley Ross, Helen Ngo, Herman Sahota, Hexin Wang, Hoo Chang Shin, Hua Huang, Iain Cunningham, Igor Gitman, Ivan Moshkov, Jaehun Jung, Jan Kautz, Jane Polak Scowcroft, Jared Casper, Jian Zhang, Jiaqi Zeng, Jimmy Zhang, Jinze Xue, Jocelyn Huang, Joey Conway, John Kamalu, Jonathan M. Cohen, Joseph Jennings, Julien Veron Vialard, Junkeun Yi, Jupinder Parmar, Kari Briski, Katherine Cheung, Katherine Luna, Keith W. Ross, Keshav Santhanam, Kezhi Kong, Krzysztof Pawelec, Kumar Anik:
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model. CoRR abs/2508.14444 (2025) - [i10]Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Ellie Evans, Daniel Egert, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev:
RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards. CoRR abs/2509.21319 (2025) - 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) - [c11]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 - [c10]Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev:
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning. EMNLP 2024: 19425-19432 - [c9]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 - [c8]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 - [c7]Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev:
HelpSteer 2: Open-source dataset for training top-performing reward models. NeurIPS 2024 - [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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