Zhengxing Chen

37 papers A* 4A 1C 1Misc 1Journal 24Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training.
CoRR
Yixin Liu, Yue Yu, DiJia Su, Sid Wang, Xuewei Wang, Song Jiang, Bo Liu, Arman Cohan, Yuandong Tian, Zhengxing Chen
2025 J jnl
Boosting LLM Reasoning via Spontaneous Self-Correction.
CoRR
Xutong Zhao, Tengyu Xu, Xuewei Wang, Zhengxing Chen, Di Jin, Liang Tan, Yen-Ting, Zishun Yu, Zhuokai Zhao, Yun He, Sinong Wang, Han Fang, Sarath Chandar, Chenguang Zhu
2025 A* conf
Law of the Weakest Link: Cross Capabilities of Large Language Models.
ICLR
Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten
2025 J jnl
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training.
CoRR
Bo Wu, Sid Wang, Yunhao Tang, Jia Ding, Eryk Helenowski, Liang Tan, Tengyu Xu, Tushar Gowda, Zhengxing Chen, Chen Zhu, Xiaocheng Tang, Yundi Qian, Beibei Zhu, Rui Hou
2025 — conf
Self-Generated Critiques Boost Reward Modeling for Language Models.
NAACL (Long Papers)
Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou
2025 J jnl
Towards Automated Model Design on Recommender Systems.
Trans. Recomm. Syst.
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2024 — conf
AutoML for Large Capacity Modeling of Meta's Ranking Systems.
WWW (Companion Volume)
Hang Yin, Kuang-Hung Liu, Mengying Sun, Yuxin Chen, Buyun Zhang, Jiang Liu, Vivek Sehgal, Rudresh Rajnikant Panchal, Eugen Hotaj, Xi Liu, Daifeng Guo, Jamey Zhang, Zhou Wang, Shali Jiang, Huayu Li, Zhengxing Chen, Wen-Yen Chen, Jiyan Yang, Wei Wen
2024 J jnl
Correction to: Learning to bid and rank together in recommendation systems.
Mach. Learn.
Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu
2024 J jnl
Law of the Weakest Link: Cross Capabilities of Large Language Models.
CoRR
Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten
2024 J jnl
Learning to bid and rank together in recommendation systems.
Mach. Learn.
Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu
2024 — conf
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.
WWW (Companion Volume)
Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen
2024 — conf
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta.
WWW (Companion Volume)
Wei Zhang, Dai Li, Chen Liang, Fang Zhou, Zhongke Zhang, Xuewei Wang, Ru Li, Yi Zhou, Yaning Huang, Dong Liang, Kai Wang, Zhangyuan Wang, Zhengxing Chen, Fenggang Wu, Minghai Chen, Huayu Li, Yunnan Wu, Zhan Shu, Mindi Yuan, Sri Reddy
2024 J jnl
Self-Generated Critiques Boost Reward Modeling for Language Models.
CoRR
Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou
2024 J jnl
Towards Automated Model Design on Recommender Systems.
CoRR
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2023 J jnl
AutoML for Large Capacity Modeling of Meta's Ranking Systems.
CoRR
Hang Yin, Kuang-Hung Liu, Mengying Sun, Yuxin Chen, Buyun Zhang, Jiang Liu, Vivek Sehgal, Rudresh Rajnikant Panchal, Eugen Hotaj, Xi Liu, Daifeng Guo, Jamey Zhang, Zhou Wang, Shali Jiang, Huayu Li, Zhengxing Chen, Wen-Yen Chen, Jiyan Yang, Wei Wen
2023 A* conf
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems.
WWW
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2023 J jnl
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.
CoRR
Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen
2023 J jnl
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta.
CoRR
Wei Zhang, Dai Li, Chen Liang, Fang Zhou, Zhongke Zhang, Xuewei Wang, Ru Li, Yi Zhou, Yaning Huang, Dong Liang, Kai Wang, Zhangyuan Wang, Zhengxing Chen, Min Li, Fenggang Wu, Minghai Chen, Huayu Li, Yunnan Wu, Zhan Shu, Mindi Yuan, Sri Reddy
2022 J jnl
CUFuse: Camera and Ultrasound Data Fusion for Rail Defect Detection.
IEEE Trans. Intell. Transp. Syst.
Zhengxing Chen, Qihang Wang, Qing He, Tianle Yu, Min Zhang, Ping Wang
2022 J jnl
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems.
CoRR
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2022 J jnl
Personalized Execution Time Optimization for the Scheduled Jobs.
CoRR
Yang Liu, Juan Wang, Zhengxing Chen, Ian Fox, Imani Mufti, Jason Sukumaran, Baokun He, Xiling Sun, Feng Liang
2021 — conf
A Feature Analysis Tool for Batch RL Datasets.
WWW (Companion Volume)
Ruiyang Xu, Zhengxing Chen
2021 J jnl
A Validation Tool for Designing Reinforcement Learning Environments.
CoRR
Ruiyang Xu, Zhengxing Chen
2021 A* conf
Reinforcement Learning-based Product Delivery Frequency Control.
AAAI
Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang
2020 J jnl
Band-limited Soft Actor Critic Model.
CoRR
Miguel Campo, Zhengxing Chen, Luke Kung, Kittipat Virochsiri, Jianyu Wang
2020 J jnl
Reinforcement Learning-based Product Delivery Frequency Control.
CoRR
Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang
2020 J jnl
Using Vehicle Interior Noise Classification for Monitoring Urban Rail Transit Infrastructure.
Sensors
Yifeng Wang, Ping Wang, Qihang Wang, Zhengxing Chen, Qing He
2018 J jnl
Modeling Game Avatar Synergy and Opposition through Embedding in Multiplayer Online Battle Arena Games.
CoRR
Zhengxing Chen, Yuyu Xu, Truong-Huy D. Nguyen, Yizhou Sun, Magy Seif El-Nasr
2018 — conf
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games.
CIG
Zhengxing Chen, Christopher Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
2018 J jnl
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games.
CoRR
Zhengxing Chen, Chris Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
2018 J jnl
The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games.
CoRR
Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
2018 A conf
The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games.
RecSys
Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Christopher Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
2017 A* conf
EOMM: An Engagement Optimized Matchmaking Framework.
WWW
Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A. Zaman, Yizhou Sun, Magy Seif El-Nasr
2017 J jnl
EOMM: An Engagement Optimized Matchmaking Framework.
CoRR
Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A. Zaman, Yizhou Sun, Magy Seif El-Nasr
2017 J jnl
Player Skill Decomposition in Multiplayer Online Battle Arenas.
CoRR
Zhengxing Chen, Yizhou Sun, Magy Seif El-Nasr, Truong-Huy D. Nguyen
2015 C conf
Games Research Today: Analyzing the Academic Landscape 2000-2014.
FDG
Edward F. Melcer, Truong-Huy D. Nguyen, Zhengxing Chen, Alessandro Canossa, Magy Seif El-Nasr, Katherine Isbister
2014 Misc conf
A bottom-up method for developing a trait-based model of player behavior.
CHI PLAY
Mikhail A. Kabakov, Alessandro Canossa, Magy Seif El-Nasr, Jeremy B. Badler, Randy C. Colvin, Stefanie Tignor, Zhengxing Chen, Kunal Asarsa