Small Object Detection Using Deep Feature Pyramid Networks. - Zhenwen Liang; Jie Shao 001; Dongyang Zhang 001; Lianli Gao (PCM (3), 2018)

Jointly Solving Deblurring and Super-Resolution Problems with Dual Supervised Network. - Zhenwen Liang; Dongyang Zhang 001; Jie Shao 001 (ICME, 2019)

Fused Recurrent Network Via Channel Attention For Remote Sensing Satellite Image Super-Resolution. - Xinyao Li; Dongyang Zhang 001; Zhenwen Liang; Deqiang Ouyang; Jie Shao 001 (ICME, 2020)

Joint image deblurring and super-resolution with attention dual supervised network. - Dongyang Zhang 001; Zhenwen Liang; Jie Shao 001 (Neurocomputing, 2020)

Traffic sign detection and recognition based on pyramidal convolutional networks. - Zhenwen Liang; Jie Shao 001; Dongyang Zhang 001; Lianli Gao (Neural Comput. Appl., 2020)

Data-Efficient Language Shaped Few-shot Image Classification. - Zhenwen Liang; Xiangliang Zhang 001 (EMNLP (Findings), 2021)

Solving Math Word Problems with Teacher Supervision. - Zhenwen Liang; Xiangliang Zhang 001 (IJCAI, 2021)

MWP-BERT: A Strong Baseline for Math Word Problems. - Zhenwen Liang; Jipeng Zhang; Jie Shao 001; Xiangliang Zhang 001 (CoRR, 2021)

Data-Driven State Estimation for Light-Emitting Diode Underwater Optical Communication. - Yingquan Li; Zhenwen Liang; Ibrahima N'Doye; Xiangliang Zhang 001; Mohamed-Slim Alouini; Taous-Meriem Laleg-Kirati (CoRR, 2021)

Multi-Branch Networks for Video Super-Resolution With Dynamic Reconstruction Strategy. - Dongyang Zhang 001; Jie Shao 001; Zhenwen Liang; Xueliang Liu; Heng Tao Shen (IEEE Trans. Circuits Syst. Video Technol., 2021)

Large Factor Image Super-Resolution With Cascaded Convolutional Neural Networks. - Dongyang Zhang 001; Jie Shao 001; Zhenwen Liang; Lianli Gao; Heng Tao Shen (IEEE Trans. Multim., 2021)

Analogical Math Word Problems Solving with Enhanced Problem-Solution Association. - Zhenwen Liang; Jipeng Zhang; Xiangliang Zhang 001 (EMNLP, 2022)

ArMATH: a Dataset for Solving Arabic Math Word Problems. - Reem Alghamdi; Zhenwen Liang; Xiangliang Zhang 001 (LREC, 2022)

MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving. - Zhenwen Liang; Jipeng Zhang; Lei Wang 185; Wei Qin; Yunshi Lan; Jie Shao 001; Xiangliang Zhang 001 (NAACL-HLT (Findings), 2022)

Generalizing Math Word Problem Solvers via Solution Diversification. - Zhenwen Liang; Jipeng Zhang; Lei Wang 185; Yan Wang 060; Jie Shao 001; Xiangliang Zhang 001 (AAAI, 2023)

Compositional Mathematical Encoding for Math Word Problems. - Zhenwen Liang; Jipeng Zhang; Kehan Guo; Xiaodong Wu; Jie Shao 001; Xiangliang Zhang 001 (ACL (Findings), 2023)

Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. - Zhenwen Liang; Wenhao Yu 002; Tanmay Rajpurohit; Peter Clark; Xiangliang Zhang 001; Ashwin Kalyan (EMNLP, 2023)

UniMath: A Foundational and Multimodal Mathematical Reasoner. - Zhenwen Liang; Tianyu Yang; Jipeng Zhang; Xiangliang Zhang 001 (EMNLP, 2023)

Don't be Blind to Questions: Question-Oriented Math Word Problem Solving. - Zhenwen Liang; Jipeng Zhang; Xiangliang Zhang 001 (IJCNLP (1), 2023)

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks. - Taicheng Guo; Kehan Guo; Bozhao Nan; Zhenwen Liang; Zhichun Guo; Nitesh V. Chawla; Olaf Wiest; Xiangliang Zhang 001 (NeurIPS, 2023)

Improving Language Models via Plug-and-Play Retrieval Feedback. - Wenhao Yu 002; Zhihan Zhang 001; Zhenwen Liang; Meng Jiang 001; Ashish Sabharwal (CoRR, 2023)

SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark. - Zhenwen Liang; Kehan Guo; Gang Liu; Taicheng Guo; Yujun Zhou 002; Tianyu Yang; Jiajun Jiao; Renjie Pi; Jipeng Zhang; Xiangliang Zhang 001 (ACL (Short Papers), 2024)

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. - Qingkai Zeng 001; Yuyang Bai; Zhaoxuan Tan; Shangbin Feng; Zhenwen Liang; Zhihan Zhang 001; Meng Jiang 001 (CIKM, 2024)

MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning. - Zhenwen Liang; Dian Yu 001; Xiaoman Pan; Wenlin Yao; Qingkai Zeng; Xiangliang Zhang 001; Dong Yu 001 (LREC/COLING, 2024)

Defending Jailbreak Prompts via In-Context Adversarial Game. - Yujun Zhou 002; Yufei Han 001; Haomin Zhuang; Kehan Guo; Zhenwen Liang; Hongyan Bao; Xiangliang Zhang 001 (EMNLP, 2024)

SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering. - Tianyu Yang; Yiyang Nan; Lisen Dai; Zhenwen Liang; Yapeng Tian; Xiangliang Zhang 001 (EMNLP (Findings), 2024)

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning. - Zhihan Zhang 001; Tao Ge 005; Zhenwen Liang; Wenhao Yu 002; Dian Yu 001; Mengzhao Jia; Dong Yu 001; Meng Jiang 001 (EMNLP, 2024)

Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation. - Kehan Guo; Bozhao Nan; Yujun Zhou 002; Taicheng Guo; Zhichun Guo; Mihir Surve; Zhenwen Liang; Nitesh V. Chawla; Olaf Wiest; Xiangliang Zhang 001 (NeurIPS, 2024)

Manipulating Predictions over Discrete Inputs in Machine Teaching. - Xiaodong Wu; Yufei Han 001; Hayssam Dahrouj; Jianbing Ni; Zhenwen Liang; Xiangliang Zhang 001 (CoRR, 2024)

Defending Jailbreak Prompts via In-Context Adversarial Game. - Yujun Zhou 002; Yufei Han 001; Haomin Zhuang; Taicheng Guo; Kehan Guo; Zhenwen Liang; Hongyan Bao; Xiangliang Zhang 001 (CoRR, 2024)

MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions. - Zhenwen Liang; Dian Yu 001; Wenhao Yu 002; Wenlin Yao; Zhihan Zhang 001; Xiangliang Zhang 001; Dong Yu 001 (CoRR, 2024)

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning. - Zhihan Zhang 001; Zhenwen Liang; Wenhao Yu 002; Dian Yu 001; Mengzhao Jia; Dong Yu 001; Meng Jiang 001 (CoRR, 2024)

Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification. - Zhenwen Liang; Ye Liu 006; Tong Niu; Xiangliang Zhang 001; Yingbo Zhou; Semih Yavuz (CoRR, 2024)

MedAI-SciTS: Enhancing Interdisciplinary Collaboration between AI Researchers and Medical Experts. - Chen Cao 005; Yu Wu; Xiao Zoe Fang; Zhenwen Liang; Lena Mamykina; Laura Sbaffi; Xuhai Xu (CHI, 2025)

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding. - Yilun Zhao 001; Haowei Zhang 002; Lujing Xie; Tongyan Hu; Guo Gan; Yitao Long; Zhiyuan Hu; Weiyuan Chen; Chuhan Li; Zhijian Xu; Chengye Wang; Ziyao Shangguan; et al. (CVPR, 2025)

Learning Molecular Representation in a Cell. - Gang Liu 025; Srijit Seal; John Arevalo; Zhenwen Liang; Anne E. Carpenter; Meng Jiang 001; Shantanu Singh (ICLR, 2025)

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding. - Yilun Zhao 001; Lujing Xie; Haowei Zhang 002; Guo Gan; Yitao Long; Zhiyuan Hu; Tongyan Hu; Weiyuan Chen; Chuhan Li; Junyang Song; Zhijian Xu; Chengye Wang; et al. (CoRR, 2025)

DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning. - Zhiwei He 002; Tian Liang; Jiahao Xu; Qiuzhi Liu; Xingyu Chen; Yue Wang; Linfeng Song; Dian Yu 001; Zhenwen Liang; Wenxuan Wang 001; Zhuosheng Zhang 001; Rui Wang 015; et al. (CoRR, 2025)

MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation. - Zhenwen Liang; Linfeng Song; Yang Li; Tao Yang; Feng Zhang; Haitao Mi; Dong Yu (CoRR, 2025)

Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study. - Yujun Zhou 002; Jiayi Ye; Zipeng Ling; Yufei Han 001; Yue Huang 001; Haomin Zhuang; Zhenwen Liang; Kehan Guo; Taicheng Guo; Xiangqi Wang; Xiangliang Zhang 001 (CoRR, 2025)

Towards Solving More Challenging IMO Problems via Decoupled Reasoning and Proving. - Zhenwen Liang; Linfeng Song; Yang Li; Tao Yang 033; Feng Zhang; Haitao Mi; Dong Yu 001 (CoRR, 2025)