Fine-grained Object Semantic Understanding from Correspondences. - Yang You 004; Chengkun Li; Yujing Lou; Zhoujun Cheng; Liangwei Li; Lizhuang Ma; Weiming Wang; Cewu Lu (CoRR, 2019)

KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations. - Yang You 004; Yujing Lou; Chengkun Li; Zhoujun Cheng; Liangwei Li; Lizhuang Ma; Cewu Lu; Weiming Wang (CVPR, 2020)

Human Correspondence Consensus for 3D Object Semantic Understanding. - Yujing Lou; Yang You 004; Chengkun Li; Zhoujun Cheng; Liangwei Li; Lizhuang Ma; Weiming Wang; Cewu Lu (ECCV (22), 2020)

Semantic Correspondence via 2D-3D-2D Cycle. - Yang You 004; Chengkun Li; Yujing Lou; Zhoujun Cheng; Lizhuang Ma; Cewu Lu; Weiming Wang (CoRR, 2020)

FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining. - Zhoujun Cheng; Haoyu Dong 001; Fan Cheng 002; Ran Jia; Pengfei Wu 006; Shi Han; Dongmei Zhang 001 (CoRR, 2021)

FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining. - Zhoujun Cheng; Haoyu Dong 001; Ran Jia; Pengfei Wu 006; Shi Han; Fan Cheng 002; Dongmei Zhang 001 (ACL (1), 2022)

HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. - Zhoujun Cheng; Haoyu Dong 001; Zhiruo Wang; Ran Jia; Jiaqi Guo; Yan Gao 002; Shi Han; Jian-Guang Lou; Dongmei Zhang 001 (ACL (1), 2022)

TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data. - Fan Zhou; Mengkang Hu; Haoyu Dong 001; Zhoujun Cheng; Fan Cheng 002; Shi Han; Dongmei Zhang 001 (EMNLP, 2022)

Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks. - Haoyu Dong 001; Zhoujun Cheng; Xinyi He; Mengyu Zhou; Anda Zhou; Fan Zhou; Ao Liu 008; Shi Han; Dongmei Zhang 001 (IJCAI, 2022)

Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks. - Haoyu Dong 001; Zhoujun Cheng; Xinyi He; Mengyu Zhou; Anda Zhou; Fan Zhou; Ao Liu 008; Shi Han; Dongmei Zhang 001 (CoRR, 2022)

TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data. - Fan Zhou; Mengkang Hu; Haoyu Dong 001; Zhoujun Cheng; Shi Han; Dongmei Zhang 001 (CoRR, 2022)

Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems. - Fan Zhou; Haoyu Dong 001; Qian Liu; Zhoujun Cheng; Shi Han; Dongmei Zhang 001 (CoRR, 2022)

Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine. - Yang You 004; Chengkun Li; Yujing Lou; Zhoujun Cheng; Liangwei Li; Lizhuang Ma; Weiming Wang; Cewu Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Batch Prompting: Efficient Inference with Large Language Model APIs. - Zhoujun Cheng; Jungo Kasai; Tao Yu 009 (EMNLP (Industry Track), 2023)

Binding Language Models in Symbolic Languages. - Zhoujun Cheng; Tianbao Xie; Peng Shi 010; Chengzu Li; Rahul Nadkarni; Yushi Hu; Caiming Xiong; Dragomir Radev; Mari Ostendorf; Luke Zettlemoyer; Noah A. Smith; Tao Yu 009 (ICLR, 2023)

OpenAgents: An Open Platform for Language Agents in the Wild. - Tianbao Xie; Fan Zhou; Zhoujun Cheng; Peng Shi 010; Luoxuan Weng; Yitao Liu; Toh Jing Hua; Junning Zhao; Qian Liu; Che Liu; Leo Z. Liu; Yiheng Xu; et al. (CoRR, 2023)

Lemur: Harmonizing Natural Language and Code for Language Agents. - Yiheng Xu; Hongjin Su; Chen Xing; Boyu Mi; Qian Liu; Weijia Shi; Binyuan Hui; Fan Zhou; Yitao Liu; Tianbao Xie; Zhoujun Cheng; Siheng Zhao; et al. (ICLR, 2024)

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments. - Tianbao Xie; Danyang Zhang; Jixuan Chen; Xiaochuan Li 003; Siheng Zhao; Ruisheng Cao; Toh Jing Hua; Zhoujun Cheng; Dongchan Shin; Fangyu Lei; Yitao Liu; Yiheng Xu; et al. (NeurIPS, 2024)

What Are Tools Anyway? A Survey from the Language Model Perspective. - Zhiruo Wang; Zhoujun Cheng; Hao Zhu 011; Daniel Fried; Graham Neubig (CoRR, 2024)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. - Terry Yue Zhuo; Minh Chien Vu; Jenny Chim; Han Hu; Wenhao Yu 002; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen Gong 005; et al. (CoRR, 2024)

MegaMath: Pushing the Limits of Open Math Corpora. - Fan Zhou; Zengzhi Wang; Nikhil Ranjan; Zhoujun Cheng; Liping Tang; Guowei He; Zhengzhong Liu 001; Eric P. Xing (CoRR, 2025)

Esoteric Language Models. - Subham Sekhar Sahoo; Zhihan Yang; Yash Akhauri; Johnna Liu; Deepansha Singh; Zhoujun Cheng; Zhengzhong Liu 001; Eric Xing; John Thickstun; Arash Vahdat (CoRR, 2025)

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. - Zhoujun Cheng; Shibo Hao; Tianyang Liu 003; Fan Zhou; Yutao Xie; Feng Yao; Yuexin Bian; Yonghao Zhuang 001; Nilabjo Dey; Yuheng Zha; Yi Gu 002; Kun Zhou; et al. (CoRR, 2025)