Dongzhan Zhou

According to our database, Dongzhan Zhou authored at least 86 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Meow-Omni 1: A Multimodal Large Language Model for Feline Ethology.

Jucheng Hu, Zhangquan Chen, Yulin Chen, Chengjie Hong, Liang Zhou, Tairan Wang, Sifei Li, Giulio Zhu, Feng Zhou, Yiheng Zeng, Suorong Yang, Dongzhan Zhou

CoRR, May, 2026

LabBuilder: Protocol-Grounded 3D Layout Generation for Interactable and Safe Laboratory.

Jianbao Cao, Zhangrui Zhao, Bohan Feng, Zixuan Hu, Rui Li, Haiyuan Wan, Chenxi Li, Jingyuan Li, Wenzhe Cai, Lei Bai, Wanli Ouyang, Lingyu Duan, Di Huang, Minting Pan, Sha Zhang, Xinzhu Ma, Shixiang Tang, Dongzhan Zhou

CoRR, May, 2026

CoEnv: Driving Embodied Multi-Agent Collaboration via Compositional Environment.

Li Kang, Yutao Fan, Rui Li, Heng Zhou, Yiran Qin, Zhemeng Zhang, Songtao Huang, Xiufeng Song, Zaibin Zhang, Bruno N. Y. Chen, Zhenfei Yin, Dongzhan Zhou, Wangmeng Zuo, Lei Bai

CoRR, April, 2026

FD²: A Dedicated Framework for Fine-Grained Dataset Distillation.

Hongxu Ma, Guang Li, Shijie Wang, Dongzhan Zhou, Baoli Sun, Takahiro Ogawa, Miki Haseyama, Zhihui Wang

CoRR, March, 2026

An SO(3)-equivariant reciprocal-space neural potential for long-range interactions.

Lingfeng Zhang, Taoyong Cui, Dongzhan Zhou, Lei Bai, Sufei Zhang, Luca Rossi, Mao Su, Wanli Ouyang, Pheng-Ann Heng

CoRR, March, 2026

Ego to World: Collaborative Spatial Reasoning in Embodied Systems via Reinforcement Learning.

Heng Zhou, Li Kang, Yiran Qin, Xiufeng Song, Ao Yu, Zilu Zhang, Haoming Song, Kaixin Xu, Yuchen Fan, Dongzhan Zhou, Xiaohong Liu, Ruimao Zhang, Philip Torr, Lei Bai, Zhenfei Yin

CoRR, March, 2026

Discovery of Interpretable Physical Laws in Materials via Language-Model-Guided Symbolic Regression.

Yifeng Guan, Chuyi Liu, Dongzhan Zhou, Lei Bai, Wan-Jian Yin, Jingyuan Li, Mao Su

CoRR, February, 2026

AnyTouch 2: General Optical Tactile Representation Learning For Dynamic Tactile Perception.

Ruoxuan Feng, Yuxuan Zhou, Siyu Mei, Dongzhan Zhou, Pengwei Wang, Shaowei Cui, Bin Fang, Guocai Yao, Di Hu

CoRR, February, 2026

P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads.

Yun Luo, Futing Wang, Qianjia Cheng, Fangchen Yu, Haodi Lei, Jianhao Yan, Chenxi Li, Jiacheng Chen, Yufeng Zhao, Haiyuan Wan, Yuchen Zhang, Shenghe Zheng, Junchi Yao, Qingyang Zhang, Haonan He, Wenxuan Zeng, Li Sheng, Chengxing Xie, Yuxin Zuo, Yizhuo Li, Yulun Wu, Rui Huang, Dongzhan Zhou, Kai Chen, Yu Qiao, Lei Bai, Yu Cheng, Ning Ding, Bowen Zhou, Peng Ye, Ganqu Cui

CoRR, February, 2026

SciDataCopilot: An Agentic Data Preparation Framework for AGI-driven Scientific Discovery.

Jiyong Rao, Yicheng Qiu, Jiahui Zhang, Juntao Deng, Shangquan Sun, Fenghua Ling, Hao Chen, Nanqing Dong, Zhangyang Gao, Siqi Sun, Yuqiang Li, Dongzhan Zhou, Guangyu Wang, Lijun Wu, Conghui He, Xuhong Wang, Jing Shao, Xiang Liu, Yu Zhu, Mianxin Liu, Qihao Zheng, Yinghui Zhang, Jiamin Wu, Xiaosong Wang, Shixiang Tang, Wenlong Zhang, Bo Zhang, Wanli Ouyang, Runkai Zhao, Chunfeng Song, Lei Bai, Chi Zhang

CoRR, February, 2026

Attention Reallocation: Towards Zero-cost and Controllable Hallucination Mitigation of MLLMs.

Chongjun Tu, Peng Ye, Dongzhan Zhou, Lei Bai, Gang Yu, Tao Chen, Wanli Ouyang

Int. J. Comput. Vis., January, 2026

Beyond Static Tools: Test-Time Tool Evolution for Scientific Reasoning.

Jiaxuan Lu, Ziyu Kong, Yemin Wang, Rong Fu, Haiyuan Wan, Cheng Yang, Wenjie Lou, Haoran Sun, Lilong Wang, Yankai Jiang, Xiaosong Wang, Xiao Sun, Dongzhan Zhou

CoRR, January, 2026

SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models.

Ruiyang Zhang, Dongzhan Zhou, Zhedong Zheng

CoRR, January, 2026

Deep Research Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks.

Haiyuan Wan, Chen Yang, Junchi Yu, Meiqi Tu, Jiaxuan Lu, Di Yu, Jianbao Cao, Ben Gao, Jiaqing Xie, Aoran Wang, Wenlong Zhang, Philip Torr, Dongzhan Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Mitigating Low-Quality Reasoning in MLLMs: Self-Driven Refined Multimodal CoT with Selective Thinking and Step-wise Visual Enhancement.

Chongjun Tu, Peng Ye, Dongzhan Zhou, Tao Chen, Wanli Ouyang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents.

Yankai Jiang, Wenjie Lou, Lilong Wang, Zhenyu Tang, Shiyang Feng, Jiaxuan Lu, Haoran Sun, Yaning Pan, Shuang Gu, Haoyang Su, Feng Liu, Wangxu Wei, Pan Tan, Dongzhan Zhou, Fenghua Ling, Cheng Tan, Bo Zhang, Xiaosong Wang, Lei Bai, Bowen Zhou

CoRR, December, 2025

MiST: Understanding the Role of Mid-Stage Scientific Training in Developing Chemical Reasoning Models.

Andres M. Bran, Tong Xie, Shai Pranesh, Jeffrey Meng, Xuan Vu Nguyen, Jeremy Goumaz, David Ming Segura, Ruizhi Xu, Dongzhan Zhou, Wenjie Zhang, Bram Hoex, Philippe Schwaller

CoRR, December, 2025

An Agentic Framework for Autonomous Materials Computation.

Zeyu Xia, Jinzhe Ma, Congjie Zheng, Shufei Zhang, Yuqiang Li, Hang Su, P. Hu, Changshui Zhang, Xingao Gong, Wanli Ouyang, Lei Bai, Dongzhan Zhou, Mao Su

CoRR, December, 2025

Single-Agent Scaling Fails Multi-Agent Intelligence: Towards Foundation Models with Native Multi-Agent Intelligence.

Shuyue Hu, Haoyang Yan, Yiqun Zhang, Yang Chen, Dongzhan Zhou, Lei Bai

CoRR, December, 2025

Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks.

Cheng Yang, Haiyuan Wan, Yiran Peng, Xin Chen, Zhaoyang Yu, Jiayi Zhang, Junchi Yu, Xinlei Yu, Xiawu Zheng, Dongzhan Zhou, Chenglin Wu

CoRR, November, 2025

P1: Mastering Physics Olympiads with Reinforcement Learning.

Jiacheng Chen, Qianjia Cheng, Fangchen Yu, Haiyuan Wan, Yuchen Zhang, Shenghe Zheng, Junchi Yao, Qingyang Zhang, Haonan He, Yun Luo, Yufeng Zhao, Futing Wang, Li Sheng, Chengxing Xie, Yuxin Zuo, Yizhuo Li, Wenxauan Zeng, Yulun Wu, Rui Huang, Dongzhan Zhou, Kai Chen, Yu Qiao, Lei Bai, Yu Cheng, Ning Ding, Bowen Zhou, Peng Ye, Ganqu Cui

CoRR, November, 2025

AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials.

Taoyuze Lv, Alexander Chen, Fengyu Xie, Chu Wu, Jeffrey Meng, Dongzhan Zhou, Bram Hoex, Zhicheng Zhong, Tong Xie

CoRR, October, 2025

Object-AVEdit: An Object-level Audio-Visual Editing Model.

Youquan Fu, Ruiyang Si, Hongfa Wang, Dongzhan Zhou, Jiacheng Sun, Ping Luo, Di Hu, Hongyuan Zhang, Xuelong Li

CoRR, October, 2025

PhysicsMinions: Winning Gold Medals in the Latest Physics Olympiads with a Coevolutionary Multimodal Multi-Agent System.

Fangchen Yu, Junchi Yao, Ziyi Wang, Haiyuan Wan, Youling Huang, Bo Zhang, Shuyue Hu, Dongzhan Zhou, Ning Ding, Ganqu Cui, Lei Bai, Wanli Ouyang, Peng Ye

CoRR, September, 2025

SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines.

Yizhou Wang, Chen Tang, Han Deng, Jiabei Xiao, Jiaqi Liu, Jianyu Wu, Jun Yao, Pengze Li, Encheng Su, Lintao Wang, Guohang Zhuang, Yuchen Ren, Ben Fei, Ming Hu, Xin Chen, Dongzhan Zhou, Junjun He, Xiangyu Yue, Zhenfei Yin, Jiamin Wu, Qihao Zheng, Yuhao Zhou, Huihui Xu, Chenglong Ma, Yan Lu, Wenlong Zhang, Chunfeng Song, Philip Torr, Shixiang Tang, Xinzhu Ma, Wanli Ouyang, Lei Bai

CoRR, September, 2025

ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System.

Dong Han, Zhehong Ai, Pengxiang Cai, Shuzhou Sun, Shanya Lu, Jianpeng Chen, Ben Gao, Lingli Ge, Weida Wang, Xiangxin Zhou, Xihui Liu, Mao Su, Wanli Ouyang, Lei Bai, Dongzhan Zhou, Tao Xu, Yuqiang Li, Shufei Zhang

CoRR, September, 2025

HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?

Fangchen Yu, Haiyuan Wan, Qianjia Cheng, Yuchen Zhang, Jiacheng Chen, Fujun Han, Yulun Wu, Junchi Yao, Ruilizhen Hu, Ning Ding, Yu Cheng, Tao Chen, Lei Bai, Dongzhan Zhou, Yun Luo, Ganqu Cui, Peng Ye

CoRR, September, 2025

DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks.

Haiyuan Wan, Chen Yang, Junchi Yu, Meiqi Tu, Jiaxuan Lu, Di Yu, Jianbao Cao, Ben Gao, Jiaqing Xie, Aoran Wang, Wenlong Zhang, Philip Torr, Dongzhan Zhou

CoRR, September, 2025

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.

Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He

CoRR, August, 2025

CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics.

Weida Wang, Dongchen Huang, Jiatong Li, Tengchao Yang, Ziyang Zheng, Di Zhang, Dong Han, Benteng Chen, Binzhao Luo, Zhiyu Liu, Kunling Liu, Zhiyuan Gao, Shiqi Geng, Wei Ma, Jiaming Su, Xin Li, Shuchen Pu, Yuhan Shui, Qianjia Cheng, Zhihao Dou, Dongfei Cui, Changyong He, Jin Zeng, Zeke Xie, Mao Su, Dongzhan Zhou, Yuqiang Li, Wanli Ouyang, Yunqi Cai, Xi Dai, Shufei Zhang, Lei Bai, Jinguang Cheng, Zhong Fang, Hongming Weng

CoRR, August, 2025

From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery.

Jiaqi Wei, Yuejin Yang, Xiang Zhang, Yuhan Chen, Xiang Zhuang, Zhangyang Gao, Dongzhan Zhou, Guangshuai Wang, Zhiqiang Gao, Juntai Cao, Zijie Qiu, Xuming He, Qiang Zhang, Chenyu You, Shuangjia Zheng, Ning Ding, Wanli Ouyang, Nanqing Dong, Yu Cheng, Siqi Sun, Lei Bai, Bowen Zhou

CoRR, August, 2025

Chem3DLLM: 3D Multimodal Large Language Models for Chemistry.

Lei Jiang, Shuzhou Sun, Biqing Qi, Yuchen Fu, Xiaohua Xu, Yuqiang Li, Dongzhan Zhou, Tianfan Fu

CoRR, August, 2025

SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning.

Weijian Mai, Jiamin Wu, Yu Zhu, Zhouheng Yao, Dongzhan Zhou, Andrew F. Luo, Qihao Zheng, Wanli Ouyang, Chunfeng Song

CoRR, August, 2025

Δ-AttnMask: Attention-Guided Masked Hidden States for Efficient Data Selection and Augmentation.

Jucheng Hu, Suorong Yang, Dongzhan Zhou

CoRR, August, 2025

SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy.

Zhuo Yang, Jiaqing Xie, Shuaike Shen, Daolang Wang, Yeyun Chen, Ben Gao, Shuzhou Sun, Biqing Qi, Dongzhan Zhou, Lei Bai, Linjiang Chen, Shufei Zhang, Jun Jiang, Tianfan Fu, Yuqiang Li

CoRR, August, 2025

Iterative Pretraining Framework for Interatomic Potentials.

Taoyong Cui, Zhongyao Wang, Dongzhan Zhou, Yuqiang Li, Lei Bai, Wanli Ouyang, Mao Su, Shufei Zhang

CoRR, July, 2025

Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning.

Suorong Yang, Peijia Li, Yujie Liu, Zhiming Xu, Peng Ye, Wanli Ouyang, Furao Shen, Dongzhan Zhou

CoRR, July, 2025

Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI.

Sha Zhang, Suorong Yang, Tong Xie, Xiangyuan Xue, Zixuan Hu, Rui Li, Wenxi Qu, Zhenfei Yin, Tianfan Fu, Di Hu, Andres M. Bran, Nian Ran, Bram Hoex, Wangmeng Zuo, Philippe Schwaller, Wanli Ouyang, Lei Bai, Yanyong Zhang, Lingyu Duan, Shixiang Tang, Dongzhan Zhou

CoRR, June, 2025

Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning.

Yuhao Zhou, Yiheng Wang, Xuming He, Ruoyao Xiao, Zhiwei Li, Qiantai Feng, Zijie Guo, Yuejin Yang, Hao Wu, Wenxuan Huang, Jiaqi Wei, Dan Si, Xiuqi Yao, Jia Bu, Haiwen Huang, Tianfan Fu, Shixiang Tang, Ben Fei, Dongzhan Zhou, Fenghua Ling, Yan Lu, Siqi Sun, Chenhui Li, Guanjie Zheng, Jiancheng Lv, Wenlong Zhang, Lei Bai

CoRR, June, 2025

SELT: Self-Evaluation Tree Search for LLMs with Task Decomposition.

Mengsong Wu, Di Zhang, Yuqiang Li, Dongzhan Zhou, Wenliang Chen

CoRR, June, 2025

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning.

Mengsong Wu, YaFei Wang, Yidong Ming, Yuqi An, Yuwei Wan, Wenliang Chen, Binbin Lin, Yuqiang Li, Tong Xie, Dongzhan Zhou

CoRR, June, 2025

Control-R: Towards controllable test-time scaling.

Di Zhang, Weida Wang, Junxian Li, Xunzhi Wang, Jiatong Li, Jianbo Wu, Jingdi Lei, Haonan He, Peng Ye, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou

CoRR, June, 2025

LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents.

Rui Li, Zixuan Hu, Wenxi Qu, Jinouwen Zhang, Zhenfei Yin, Sha Zhang, Xuantuo Huang, Hanqing Wang, Tai Wang, Jiangmiao Pang, Wanli Ouyang, Lei Bai, Wangmeng Zuo, Ling-Yu Duan, Dongzhan Zhou, Shixiang Tang

CoRR, May, 2025

MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback.

Wanhao Liu, Zonglin Yang, Jue Wang, Lidong Bing, Di Zhang, Dongzhan Zhou, Yuqiang Li, Houqiang Li, Erik Cambria, Wanli Ouyang

CoRR, May, 2025

SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward.

Kaixuan Fan, Kaituo Feng, Haoming Lyu, Dongzhan Zhou, Xiangyu Yue

CoRR, May, 2025

NovelSeek: When Agent Becomes the Scientist - Building Closed-Loop System from Hypothesis to Verification.

Bo Zhang, Shiyang Feng, Xiangchao Yan, Jiakang Yuan, Zhiyin Yu, Xiaohan He, Songtao Huang, Shaowei Hou, Zheng Nie, Zhilong Wang, Jinyao Liu, Runmin Ma, Tianshuo Peng, Peng Ye, Dongzhan Zhou, Shufei Zhang, Xiaosong Wang, Yilan Zhang, Meng Li, Zhongying Tu, Xiangyu Yue, Wangli Ouyang, Bowen Zhou, Lei Bai

CoRR, May, 2025

ChemMLLM: Chemical Multimodal Large Language Model.

Qian Tan, Dongzhan Zhou, Peng Xia, Wanhao Liu, Wanli Ouyang, Lei Bai, Yuqiang Li, Tianfan Fu

CoRR, May, 2025

When Dynamic Data Selection Meets Data Augmentation.

Suorong Yang, Peng Ye, Furao Shen, Dongzhan Zhou

CoRR, May, 2025

CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation.

Jianyu Wu, Yizhou Wang, Xiangyu Yue, Xinzhu Ma, Jingyang Guo, Dongzhan Zhou, Wanli Ouyang, Shixiang Tang

CoRR, April, 2025

DONOD: Robust and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning.

Jucheng Hu, Suorong Yang, Dongzhan Zhou, Lijun Wu

CoRR, April, 2025

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition.

Yujie Liu, Zonglin Yang, Tong Xie, Jinjie Ni, Ben Gao, Yuqiang Li, Shixiang Tang, Wanli Ouyang, Erik Cambria, Dongzhan Zhou

CoRR, March, 2025

TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models.

Xudong Tan, Peng Ye, Chongjun Tu, Jianjian Cao, Yaoxin Yang, Lin Zhang, Dongzhan Zhou, Tao Chen

CoRR, March, 2025

Large multimodal models evaluation: a survey.

Zicheng Zhang, Junying Wang, Farong Wen, Yijin Guo, Xiangyu Zhao, Xinyu Fang, Shengyuan Ding, Ziheng Jia, Jiahao Xiao, Ye Shen, Yushuo Zheng, Xiaorong Zhu, Yalun Wu, Ziheng Jiao, Wei Sun, Zijian Chen, Kaiwei Zhang, Kang Fu, Yuqin Cao, Ming Hu, Yue Zhou, Xuemei Zhou, Juntai Cao, Wei Zhou, Jinyu Cao, Ronghui Li, Donghao Zhou, Yuan Tian, Xiangyang Zhu, Chunyi Li, Haoning Wu, Xiaohong Liu, Junjun He, Yu Zhou, Hui Liu, Lin Zhang, Zesheng Wang, Huiyu Duan, Yingjie Zhou, Xiongkuo Min, Qi Jia, Dongzhan Zhou, Wenlong Zhang, Jiezhang Cao, Xue Yang, Junzhi Yu, Songyang Zhang, Haodong Duan, Guangtao Zhai

Sci. China Inf. Sci., 2025

Scaling Physical Reasoning with the PHYSICS Dataset.

Shenghe Zheng, Qianjia Cheng, Junchi Yao, Mengsong Wu, Haonan He, Ning Ding, Yu Cheng, Shuyue Hu, Lei Bai, Dongzhan Zhou, Ganqu Cui, Peng Ye

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?

Junchi Yu, Yujie Liu, Jindong Gu, Philip H. S. Torr, Dongzhan Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search.

Zonglin Yang, Wanhao Liu, Ben Gao, Yujie Liu, Wei Li, Tong Xie, Lidong Bing, Wanli Ouyang, Erik Cambria, Dongzhan Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MokA: Multimodal Low-Rank Adaptation for MLLMs.

Yake Wei, Yu Miao, Dongzhan Zhou, Di Hu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search.

Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds.

Jiaxu Li, Rui Li, Jianyu Qi, Songning Lai, Linpu Lv, Kejia Fan, Jianheng Tang, Yutao Yue, Dongzhan Zhou, Yunhuai Liu, Huiping Zhuang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration.

Suorong Yang, Peng Ye, Furao Shen, Dongzhan Zhou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A CLIP-Powered Framework for Robust and Generalizable Data Selection.

Suorong Yang, Peng Ye, Wanli Ouyang, Dongzhan Zhou, Furao Shen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses.

Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation.

Jianyu Wu, Yizhou Wang, Xiangyu Yue, Xinzhu Ma, Jinyang Guo, Dongzhan Zhou, Wanli Ouyang, Shixiang Tang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models.

Haonan He, Yuchen Ren, Yining Tang, Ziyang Xu, Junxian Li, Minghao Yang, Di Zhang, Dong Yuan, Tao Chen, Shufei Zhang, Yuqiang Li, Nanqing Dong, Wanli Ouyang, Dongzhan Zhou, Peng Ye

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning.

Di Zhang, Jingdi Lei, Junxian Li, Xunzhi Wang, Yujie Liu, Zonglin Yang, Jiatong Li, Weida Wang, Suorong Yang, Jianbo Wu, Peng Ye, Wanli Ouyang, Dongzhan Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area.

Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation.

Jiatong Li, Junxian Li, Yunqing Liu, Dongzhan Zhou, Qing Li

CoRR, 2024

SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic Segmentation.

Jiaxu Li, Songning Lai, Rui Li, Di Fang, Kejia Fan, Jianheng Tang, Yuhan Zhao, Rongchang Zhao, Dongzhan Zhou, Yutao Yue, Huiping Zhuang

CoRR, 2024

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts.

Jiatong Li, Yunqing Liu, Wei Liu, Jingdi Lei, Di Zhang, Wenqi Fan, Dongzhan Zhou, Yuqiang Li, Qing Li

CoRR, 2024

LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.

Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou

CoRR, 2024

Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B.

Di Zhang, Xiaoshui Huang, Dongzhan Zhou, Yuqiang Li, Wanli Ouyang

CoRR, 2024

Physical formula enhanced multi-task learning for pharmacokinetics prediction.

Ruifeng Li, Dongzhan Zhou, Ancheng Shen, Ao Zhang, Mao Su, Mingqian Li, Hongyang Chen, Gang Chen, Yin Zhang, Shufei Zhang, Yuqiang Li, Wanli Ouyang

CoRR, 2024

LOCR: Location-Guided Transformer for Optical Character Recognition.

Yu Sun, Dongzhan Zhou, Chen Lin, Conghui He, Wanli Ouyang, Hansen Zhong

CoRR, 2024

ChemLLM: A Chemical Large Language Model.

Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang Yan, Yuliang Yan, Jiatong Li, Weiran Huang, Xiangyu Yue, Dongzhan Zhou, Shufei Zhang, Mao Su, Hansen Zhong, Yuqiang Li, Wanli Ouyang

CoRR, 2024

LOCR: Location-Guided Transformer for Optical Character Recognition.

Yu Sun, Dongzhan Zhou, Chen Lin, Conghui He, Wanli Ouyang, Han-Sen Zhong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes.

Yaoting Wang, Peiwen Sun, Dongzhan Zhou, Guangyao Li, Honggang Zhang, Di Hu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

SeCo: Separating Unknown Musical Visual Sounds with Consistency Guidance.

Xinchi Zhou, Dongzhan Zhou, Wanli Ouyang, Hang Zhou, Di Hu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Exploiting Visual Context Semantics for Sound Source Localization.

Xinchi Zhou, Dongzhan Zhou, Di Hu, Hang Zhou, Wanli Ouyang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

SeCo: Separating Unknown Musical Visual Sounds with Consistency Guidance.

Xinchi Zhou, Dongzhan Zhou, Wanli Ouyang, Hang Zhou, Ziwei Liu, Di Hu

CoRR, 2022

SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation.

Dongzhan Zhou, Xinchi Zhou, Di Hu, Hang Zhou, Lei Bai, Ziwei Liu, Wanli Ouyang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

TRUFM: a Transformer-Guided Framework for Fine-Grained Urban Flow Inference.

Xinchi Zhou, Dongzhan Zhou, Lingbo Liu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Delving Into Localization Errors for Monocular 3D Object Detection.

Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Performance Optimization of Federated Person Re-identification via Benchmark Analysis.

Weiming Zhuang, Yonggang Wen, Xuesen Zhang, Xin Gan, Daiying Yin, Dongzhan Zhou, Shuai Zhang, Shuai Yi

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection.

Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang, Shuai Yi, Wanli Ouyang

Proceedings of the Computer Vision - ECCV 2020, 2020

EcoNAS: Finding Proxies for Economical Neural Architecture Search.

Dongzhan Zhou, Xinchi Zhou, Wenwei Zhang, Chen Change Loy, Shuai Yi, Xuesen Zhang, Wanli Ouyang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

WIDER Face and Pedestrian Challenge 2018: Methods and Results.

Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jianfeng Wang, Zuoxin Li, Ye Yuan, Boxun Li, Shuai Shao, Gang Yu, Fangyun Wei, Xiang Ming, Dong Chen, Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, Hongkai Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, Wu Liu, Boyan Zhou, Huaxiong Li, Peng Cheng, Tao Mei, Artem Kukharenko, Artem Vasenin, Nikolay Sergievskiy, Hua Yang, Liangqi Li, Qiling Xu, Yuan Hong, Lin Chen, Mingjun Sun, Yirong Mao, Shiying Luo, Yongjun Li, Ruiping Wang, Qiaokang Xie, Ziyang Wu, Lei Lu, Yiheng Liu, Wengang Zhou

CoRR, 2019