Cooperative Petition Processing Model Based on Dynamic Workflow Management. - Jianhua Han; Weihua Li (FSKD (4), 2008)

A New Network Collaborative Manufacturing Based on the STEP-NC. - Jianhua Han; Juan Du; Xianguo Yan (CASoN, 2010)

A study on academic performance and interpersonal interactions based on network. - Jianhua Han; Jikui Wen; Xiaojun Zhao (CSCWD, 2010)

Construction and Application of the Merging Network Teaching Platform. - Jianhua Han; Shanshan Du; Jikui Wen (ICFCE, 2011)

A study on the scalable flow model of web services choreography and orchestration based on dynamic workflow. - Jianhua Han; Yuan Luo; Jianping Huang (Int. J. Inf. Commun. Technol., 2013)

Fault-Tolerant Control, Fault Diagnosis and Recovery in Runtime of Business Docking Service Composition Flow in the Cloud Environment. - Jianhua Han; Silu He; Hengxin Li; Jianping Huang (ICIC (2), 2014)

Aggregating Crowd Wisdom with Instance Grouping Methods. - Li'ang Yin; Zhengbo Li; Jianhua Han; Yong Yu 001 (APWeb (1), 2016)

Label Aggregation with Instance Grouping Model. - Li'ang Yin; Jianhua Han; Yong Yu 001 (WWW (Companion Volume), 2016)

Aggregating Crowd Wisdoms with Label-aware Autoencoders. - Li'ang Yin; Jianhua Han; Weinan Zhang 001; Yong Yu 001 (IJCAI, 2017)

Optimizing Ranking Algorithm in Recommender System via Deep Reinforcement Learning. - Jianhua Han; Yong Yu 001; Feng Liu 034; Ruiming Tang; Yuzhou Zhang (AIAM (IEEE), 2019)

Order-aware Embedding Neural Network for CTR Prediction. - Wei Guo 006; Ruiming Tang; Huifeng Guo; Jianhua Han; Wen Yang 001; Yuzhou Zhang (SIGIR, 2019)

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. - Jianhua Han; Xiwen Liang; Hang Xu 004; Kai Chen 023; Lanqing Hong; Jiageng Mao; Chaoqiang Ye; Wei Zhang 196; Zhenguo Li; Xiaodan Liang; Chunjing Xu (NeurIPS Datasets and Benchmarks, 2021)

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving. - Jianhua Han; Xiwen Liang; Hang Xu 004; Kai Chen 023; Lanqing Hong; Chaoqiang Ye; Wei Zhang 196; Zhenguo Li; Xiaodan Liang; Chunjing Xu (CoRR, 2021)

Laneformer: Object-Aware Row-Column Transformers for Lane Detection. - Jianhua Han; Xiajun Deng; Xinyue Cai; Zhen Yang; Hang Xu 004; Chunjing Xu; Xiaodan Liang (AAAI, 2022)

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. - Zhili Liu; Jianhua Han; Lanqing Hong; Hang Xu 004; Kai Chen 023; Chunjing Xu; Zhenguo Li (AAAI, 2022)

ONCE-3DLanes: Building Monocular 3D Lane Detection. - Fan Yan; Ming Nie; Xinyue Cai; Jianhua Han; Hang Xu 004; Zhen Yang; Chaoqiang Ye; Yanwei Fu 001; Michael Bi Mi; Li Zhang 040 (CVPR, 2022)

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. - Kaican Li; Kai Chen 023; Haoyu Wang; Lanqing Hong; Chaoqiang Ye; Jianhua Han; Yukuai Chen; Wei Zhang 196; Chunjing Xu; Dit-Yan Yeung; Xiaodan Liang; Zhenguo Li; et al. (ECCV (38), 2022)

Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. - Quande Liu; Youpeng Wen; Jianhua Han; Chunjing Xu; Hang Xu 004; Xiaodan Liang (ECCV (20), 2022)

Generative Negative Text Replay for Continual Vision-Language Pretraining. - Shipeng Yan; Lanqing Hong; Hang Xu 004; Jianhua Han; Tinne Tuytelaars; Zhenguo Li; Xuming He 001 (ECCV (36), 2022)

Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving. - Xiwen Liang; Yangxin Wu; Jianhua Han; Hang Xu 004; Chunjing Xu; Xiaodan Liang (NeurIPS, 2022)

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. - Lewei Yao; Jianhua Han; Youpeng Wen; Xiaodan Liang; Dan Xu 002; Wei Zhang 196; Zhenguo Li; Chunjing Xu; Hang Xu 004 (NeurIPS, 2022)

P3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. - Yanxin Long; Jianhua Han; Runhui Huang; Xu Hang; Yi Zhu 004; Chunjing Xu; Xiaodan Liang (CoRR, 2022)

NLIP: Noise-Robust Language-Image Pre-training. - Runhui Huang; Yanxin Long; Jianhua Han; Hang Xu 004; Xiwen Liang; Chunjing Xu; Xiaodan Liang (AAAI, 2023)

Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving. - Xiwen Liang; Minzhe Niu; Jianhua Han; Hang Xu 004; Chunjing Xu; Xiaodan Liang (CVPR, 2023)

CapDet: Unifying Dense Captioning and Open-World Detection Pretraining. - Yanxin Long; Youpeng Wen; Jianhua Han; Hang Xu 004; Pengzhen Ren; Wei Zhang 196; Shen Zhao; Xiaodan Liang (CVPR, 2023)

DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment. - Lewei Yao; Jianhua Han; Xiaodan Liang; Dan Xu 002; Wei Zhang 196; Zhenguo Li; Hang Xu 004 (CVPR, 2023)

CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. - Yihan Zeng; Chenhan Jiang; Jiageng Mao; Jianhua Han; Chaoqiang Ye; Qingqiu Huang; Dit-Yan Yeung; Zhen Yang; Xiaodan Liang; Hang Xu 004 (CVPR, 2023)

DetGPT: Detect What You Need via Reasoning. - Renjie Pi; Jiahui Gao; Shizhe Diao; Rui Pan 002; Hanze Dong; Jipeng Zhang; Lewei Yao; Jianhua Han; Hang Xu 004; Lingpeng Kong; Tong Zhang 001 (EMNLP, 2023)

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. - Xinchi Deng; Han Shi; Runhui Huang; Changlin Li; Hang Xu 004; Jianhua Han; James T. Kwok; Shen Zhao; Wei Zhang 196; Xiaodan Liang (ICCV, 2023)

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability. - Runhui Huang; Jianhua Han; Guansong Lu; Xiaodan Liang; Yihan Zeng; Wei Zhang 196; Hang Xu 004 (ICCV, 2023)

Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts. - Zhili Liu; Kai Chen 023; Jianhua Han; Lanqing Hong; Hang Xu 004; Zhenguo Li; James T. Kwok (ICLR, 2023)

Towards Universal Vision-language Omni-supervised Segmentation. - Bowen Dong; Jiaxi Gu; Jianhua Han; Hang Xu 004; Wangmeng Zuo (CoRR, 2023)

Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards. - Guian Fang; Zutao Jiang; Jianhua Han; Guansong Lu; Hang Xu 004; Xiaodan Liang (CoRR, 2023)

MO-VLN: A Multi-Task Benchmark for Open-set Zero-Shot Vision-and-Language Navigation. - Xiwen Liang; Liang Ma; Shanshan Guo 001; Jianhua Han; Hang Xu 004; Shikui Ma; Xiaodan Liang (CoRR, 2023)

HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving. - Xinpeng Ding; Jianhua Han; Hang Xu 004; Wei Zhang 010; Xiaomeng Li 001 (CoRR, 2023)

Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models. - Zhili Liu; Kai Chen 023; Yifan Zhang; Jianhua Han; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung; James T. Kwok (CoRR, 2023)

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images. - Qingping Zheng; Yuanfan Guo; Jiankang Deng; Jianhua Han; Ying Li 017; Songcen Xu; Hang Xu 004 (AAAI, 2024)

CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation. - Xiwen Liang; Liang Ma; Shanshan Guo 001; Jianhua Han; Hang Xu 004; Shikui Ma; Xiaodan Liang (ACL (Findings), 2024)

Holistic Autonomous Driving Understanding by Bird'View Injected Multi-Modal Large Models. - Xinpeng Ding; Jianhua Han; Hang Xu 004; Xiaodan Liang; Wei Zhang 010; Xiaomeng Li 001 (CVPR, 2024)

DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection. - Lewei Yao; Renjie Pi; Jianhua Han; Xiaodan Liang; Hang Xu 004; Wei Zhang 196; Zhenguo Li; Dan Xu 002 (CVPR, 2024)

HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-Fine Pose-Reversible Guidance. - Guian Fang; Wenbiao Yan; Yuanfan Guo; Jianhua Han; Zutao Jiang; Hang Xu 004; Shengcai Liao; Xiaodan Liang (ECCV (32), 2024)

LayerDiff: Exploring Text-Guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model. - Runhui Huang; Kaixin Cai; Jianhua Han; Xiaodan Liang; Renjing Pei; Guansong Lu; Songcen Xu; Wei Zhang 196; Hang Xu 004 (ECCV (76), 2024)

Implicit Concept Removal of Diffusion Models. - Zhili Liu; Kai Chen 023; Yifan Zhang; Jianhua Han; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung; James T. Kwok (ECCV (21), 2024)

PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion. - Guansong Lu; Yuanfan Guo; Jianhua Han; Minzhe Niu; Yihan Zeng; Songcen Xu; Zeyi Huang; Zhao Zhong; Wei Zhang 196; Hang Xu 004 (ECCV (45), 2024)

Reason2Drive: Towards Interpretable and Chain-Based Reasoning for Autonomous Driving. - Ming Nie; Renyuan Peng; Chunwei Wang; Xinyue Cai; Jianhua Han; Hang Xu 004; Li Zhang 040 (ECCV (26), 2024)

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. - Kai Chen 023; Chunwei Wang; Kuo Yang; Jianhua Han; Lanqing Hong; Fei Mi; Hang Xu 004; Zhengying Liu; Wenyong Huang; Zhenguo Li; Dit-Yan Yeung; Lifeng Shang; et al. (ICLR, 2024)

Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction. - Renjie Pi; Lewei Yao; Jianhua Han; Xiaodan Liang; Wei Zhang 196; Hang Xu 004 (ICLR, 2024)

UNIT: Unifying Image and Text Recognition in One Vision Encoder. - Yi Zhu 004; Yanpeng Zhou; Chunwei Wang; Yang Cao; Jianhua Han; Lu Hou 002; Hang Xu 004 (NeurIPS, 2024)

SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM. - Ming Nie; Dan Ding; Chunwei Wang; Yuanfan Guo; Jianhua Han; Hang Xu 004; Li Zhang 040 (NeurIPS, 2024)

VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation. - Youpeng Wen; Junfan Lin; Yi Zhu 004; Jianhua Han; Hang Xu 004; Shen Zhao; Xiaodan Liang (NeurIPS, 2024)

Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models. - Xinpeng Ding; Jianhua Han; Hang Xu 004; Xiaodan Liang; Wei Zhang 010; Xiaomeng Li 001 (CoRR, 2024)

From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs. - Yulong Liu; Yunlong Yuan; Chunwei Wang; Jianhua Han; Yongqiang Ma; Li Zhang 040; Nanning Zheng 001; Hang Xu 004 (CoRR, 2024)

EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation. - Cong Wang 018; Jiaxi Gu; Panwen Hu; Haoyu Zhao; Yuanfan Guo; Jianhua Han; Hang Xu 004; Xiaodan Liang (CoRR, 2024)

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. - Kai Chen; Yunhao Gou; Runhui Huang; Zhili Liu; Daxin Tan; Jing Xu; Chunwei Wang; Yi Zhu; Yihan Zeng; Kuo Yang; Dingdong Wang; Kun Xiang; et al. (CoRR, 2024)

AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning. - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Jianhua Han; Lanqing Hong; Hang Xu 004; et al. (CoRR, 2024)

ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance. - Chunwei Wang; Guansong Lu; Junwei Yang; Runhui Huang; Jianhua Han; Lu Hou 002; Wei Zhang 196; Hang Xu 004 (CoRR, 2024)

Fine-Grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. - Yanxin Long; Jianhua Han; Runhui Huang; Hang Xu 004; Yi Zhu 004; Chunjing Xu; Xiaodan Liang (IEEE Trans. Neural Networks Learn. Syst., 2024)

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. - Kai Chen; Yunhao Gou; Runhui Huang; Zhili Liu; Daxin Tan; Jing Xu; Chunwei Wang; Yi Zhu; Yihan Zeng; Kuo Yang; Dingdong Wang; Kun Xiang; et al. (CVPR, 2025)

HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models. - Runhui Huang; Xinpeng Ding; Chunwei Wang; Jianhua Han; Yulong Liu; Hengshuang Zhao; Hang Xu 004; Lu Hou 002; Wei Zhang 010; Xiaodan Liang (CVPR, 2025)

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model. - Jiahui Gao; Renjie Pi; Jipeng Zhang; Jiacheng Ye; Wanjun Zhong; Yufei Wang 005; Lanqing Hong; Jianhua Han; Hang Xu 004; Zhenguo Li; Lingpeng Kong (ICLR, 2025)

DisCo: Discovering Common Affordance from Large Models for Actionable Part Perception. - Youpeng Wen; Yi Zhu 004; Zhihao Zhan; Pengzhen Ren; Jianhua Han; Hang Xu 004; Shen Zhao; Xiaodan Liang (WACV, 2025)

TransMamba: Fast Universal Architecture Adaption from Transformers to Mamba. - Xiuwei Chen; Sihao Lin; Xiao Dong; Zisheng Chen; Meng Cao; Jianhua Han; Hang Xu 004; Xiaodan Liang (CoRR, 2025)

Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models? - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Kaixin Cai; Yiyang Yin; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Yu-Jie Yuan; et al. (CoRR, 2025)

SemHiTok: A Unified Image Tokenizer via Semantic-Guided Hierarchical Codebook for Multimodal Understanding and Generation. - Zisheng Chen; Chunwei Wang; Xiuwei Chen; Hang Xu 004; Jianhua Han; Xiaodan Liang (CoRR, 2025)

ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement. - Runhui Huang; Chunwei Wang; Junwei Yang; Guansong Lu; Yunlong Yuan; Jianhua Han; Lu Hou 002; Wei Zhang 196; Lanqing Hong; Hengshuang Zhao; Hang Xu 004 (CoRR, 2025)

PaMi-VDPO: Mitigating Video Hallucinations by Prompt-Aware Multi-Instance Video Preference Learning. - Xinpeng Ding; Kui Zhang; Jianhua Han; Lanqing Hong; Hang Xu 004; Xiaomeng Li 001 (CoRR, 2025)

SeePhys: Does Seeing Help Thinking? - Benchmarking Vision-Based Physics Reasoning. - Kun Xiang; Heng Li; Terry Jingchen Zhang; Yinya Huang; Zirong Liu; Peixin Qu; Jixi He; Jiaqi Chen; Yu-Jie Yuan; Jianhua Han; Hang Xu 004; Hanhui Li; et al. (CoRR, 2025)

EvolveNav: Self-Improving Embodied Reasoning for LLM-Based Vision-Language Navigation. - Bingqian Lin; Yunshuang Nie; Khun Loun Zai; Ziming Wei; Mingfei Han 002; Rongtao Xu; Minzhe Niu; Jianhua Han; Liang Lin; Cewu Lu; Xiaodan Liang (CoRR, 2025)

Does Your 3D Encoder Really Work? When Pretrain-SFT from 2D VLMs Meets 3D VLMs. - Haoyuan Li; Yanpeng Zhou; Yufei Gao; Tao Tang; Jianhua Han; Yu-Jie Yuan; Dave Zhenyu Chen; Jiawang Bian; Hang Xu 004; Xiaodan Liang (CoRR, 2025)

UniAdapter: All-in-One Control for Flexible Video Generation. - Cong Wang 018; Panwen Hu; Haoyu Zhao; Yuanfan Guo; Jiaxi Gu; Xiao Dong; Jianhua Han; Hang Xu 004; Xiaodan Liang (IEEE Trans. Circuits Syst. Video Technol., 2025)

C2-Evo: Co-Evolving Multimodal Data and Model for Self-Improving Reasoning. - Xiuwei Chen; Wentao Hu; Hanhui Li; Jun Zhou; Zisheng Chen; Meng Cao; Yihan Zeng; Kui Zhang; Yu-Jie Yuan; Jianhua Han; Hang Xu 004; Xiaodan Liang (CoRR, 2025)

NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning. - Bingqian Lin; Yunshuang Nie; Ziming Wei; Jiaqi Chen; Shikui Ma; Jianhua Han; Hang Xu 004; Xiaojun Chang; Xiaodan Liang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

HiLM-D: Enhancing MLLMs with Multi-scale High-Resolution Details for Autonomous Driving. - Xinpeng Ding; Jianhua Han; Hang Xu 004; Wei Zhang 010; Xiaomeng Li 001 (Int. J. Comput. Vis., 2025)