Zhou, Hao

120 publications

TMLR 2026 ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer Jinyi Hu, Shengding Hu, Yuxuan Song, Yufei Huang, Mingxuan Wang, Hao Zhou, Zhiyuan Liu, Wei-Ying Ma, Maosong Sun

ICLRW 2025 $\text{CO}_2$-Net: A Physics-Informed Spatio-Temporal Model for Global $\text{CO}_2$ Reconstruction Hao Zheng, Yuting Zheng, Hanbo Huang, Chaofan Sun, Lin Liu, Enhui Liao, Yi Han, Hao Zhou, Shiyu Liang

ICLR 2025 A Periodic Bayesian Flow for Material Generation Hanlin Wu, Yuxuan Song, Jingjing Gong, Ziyao Cao, Yawen Ouyang, Jianbing Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu

ICLRW 2025 ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer Jinyi Hu, Shengding Hu, Yuxuan Song, Yufei Huang, Mingxuan Wang, Hao Zhou, Zhiyuan Liu, Wei-Ying Ma, Maosong Sun

NeurIPS 2025 Accelerating 3D Molecule Generative Models with Trajectory Diagnosis Zhilong Zhang, Yuxuan Song, Yichun Wang, Jingjing Gong, Hanlin Wu, Dongzhan Zhou, Hao Zhou, Wei-Ying Ma

NeurIPS 2025 Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data Shuli Zhang, Hao Zhou, Jiaqi Zheng, Guibin Jiang, Cheng Bing, Wei Lin, Guihai Chen

ICCV 2025 CO2-Net: A Physics-Informed Spatio-Temporal Model for Global Surface CO2 Reconstruction Hao Zheng, Yuting Zheng, Hanbo Huang, Chaofan Sun, Enhui Liao, Lin Liu, Yi Han, Hao Zhou, Shiyu Liang

CVPR 2025 Change3D: Revisiting Change Detection and Captioning from a Video Modeling Perspective Duowang Zhu, Xiaohu Huang, Haiyan Huang, Hao Zhou, Zhenfeng Shao

AAAI 2025 Core-to-Global Reasoning for Compositional Visual Question Answering Hao Zhou, Tingjin Luo, Zhangqi Jiang

NeurIPS 2025 DAPO: An Open-Source LLM Reinforcement Learning System at Scale Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, YuYue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, LingJun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang

ICML 2025 Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks Keyue Qiu, Yuxuan Song, Jie Yu, Hongbo Ma, Ziyao Cao, Zhilong Zhang, Yushuai Wu, Mingyue Zheng, Hao Zhou, Wei-Ying Ma

NeurIPS 2025 Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles Jiangjie Chen, Qianyu He, Siyu Yuan, Aili Chen, Zhicheng Cai, Weinan Dai, Hongli Yu, Jiaze Chen, Xuefeng Li, Qiying Yu, Hao Zhou, Mingxuan Wang

CVPR 2025 Erase Diffusion: Empowering Object Removal Through Calibrating Diffusion Pathways Yi Liu, Hao Zhou, Benlei Cui, Wenxiang Shang, Ran Lin

IJCAI 2025 Generative AI for Immersive Video: Recent Advances and Future Opportunities Kaiyuan Hu, Yili Jin, Hao Zhou, Linfeng Du, Jiangchuan Liu, Xue Liu

ICCV 2025 HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding? Yusen Zhang, Wenliang Zheng, Aashrith Madasu, Peng Shi, Ryo Kamoi, Hao Zhou, Zhuoyang Zou, Shu Zhao, Sarkar Snigdha Sarathi Das, Vipul Gupta, Xiaoxin Lu, Nan Zhang, Ranran Haoran Zhang, Avitej Iyer, Renze Lou, Wenpeng Yin, Rui Zhang

ICCV 2025 Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving Hao Zhou, Zhanning Gao, Zhili Chen, Maosheng Ye, Qifeng Chen, Tongyi Cao, Honggang Qi

ICML 2025 La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse Activation Kai Liu, Bowen Xu, Shaoyu Wu, Xin Chen, Hao Zhou, Yongliang Tao, Lulu Hu

NeurIPS 2025 MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks Rui Jiao, Hanlin Wu, Wenbing Huang, Yuxuan Song, Yawen Ouyang, Yu Rong, Tingyang Xu, Pengju Wang, Hao Zhou, Wei-Ying Ma, Jingjing Liu, Yang Liu

ICLR 2025 MiniPLM: Knowledge Distillation for Pre-Training Language Models Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang

AAAI 2025 MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing Hao Zhou, Zhijun Wang, Shujian Huang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Weihua Luo, Jiajun Chen

ICLRW 2025 MoMa: A Modular Deep Learning Framework for Material Property Prediction Botian Wang, Yawen Ouyang, Yaohui Li, Yiqun Wang, Haorui Cui, Jianbing Zhang, Xiaonan Wang, Wei-Ying Ma, Hao Zhou

ICML 2025 Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule Keyue Qiu, Yuxuan Song, Zhehuan Fan, Peidong Liu, Zhe Zhang, Mingyue Zheng, Hao Zhou, Wei-Ying Ma

ICLRW 2025 Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule Keyue Qiu, Yuxuan Song, Zhehuan Fan, Peidong Liu, Zhe Zhang, Mingyue Zheng, Hao Zhou, Wei-Ying Ma

NeurIPS 2025 Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow Hanlin Wu, Yuxuan Song, Zhe Zhang, Zhilong Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu

ICML 2025 Reducing Confounding Bias Without Data Splitting for Causal Inference via Optimal Transport Yuguang Yan, Zongyu Li, Haolin Yang, Zeqin Yang, Hao Zhou, Ruichu Cai, Zhifeng Hao

NeurIPS 2025 Retrieval Is Not Enough: Enhancing RAG Through Test-Time Critique and Optimization Jiaqi Wei, Hao Zhou, Xiang Zhang, Di Zhang, Zijie Qiu, Noah Wei, Jinzhe Li, Wanli Ouyang, Siqi Sun

NeurIPS 2025 Retro-R1: LLM-Based Agentic Retrosynthesis Wei Liu, Jiangtao Feng, Hongli Yu, Yuxuan Song, Yuqiang Li, Shufei Zhang, Lei Bai, Wei-Ying Ma, Hao Zhou

AISTATS 2025 RetroDiff: Retrosynthesis as Multi-Stage Distribution Interpolation Yiming Wang, Yuxuan Song, Yiqun Wang, Minkai Xu, Rui Wang, Hao Zhou, Wei-Ying Ma

ICML 2025 SToFM: A Multi-Scale Foundation Model for Spatial Transcriptomics Suyuan Zhao, Yizhen Luo, Ganbo Yang, Yan Zhong, Hao Zhou, Zaiqing Nie

ICLRW 2025 ShortListing Model: A Streamlined Simplex Diffusion for Biological Sequence Generation Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma

NeurIPS 2025 ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Qiying Yu, Zheng Zhang, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma

ICML 2025 Smooth Interpolation for Improved Discrete Graph Generative Models Yuxuan Song, Juntong Shi, Jingjing Gong, Minkai Xu, Stefano Ermon, Hao Zhou, Wei-Ying Ma

ICLR 2025 Steering Protein Family Design Through Profile Bayesian Flow Jingjing Gong, Yu Pei, Siyu Long, Yuxuan Song, Zhe Zhang, Wenhao Huang, Ziyao Cao, Shuyi Zhang, Hao Zhou, Wei-Ying Ma

ICML 2025 Three-Dimensional Trajectory Prediction with 3DMoTraj Dataset Hao Zhou, Xu Yang, Mingyu Fan, Lu Qi, Xiangtai Li, Ming-Hsuan Yang, Fei Luo

ICLRW 2025 Towards Extrapolation in Deep Material Property Regression Mianzhi Pan, JianFei Li, Yawen Ouyang, Wei-Ying Ma, Jianbing Zhang, Hao Zhou

IJCAI 2024 A Strategic Analysis of Prepayments in Financial Credit Networks Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge

NeurIPS 2024 AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario Yuhan Li, Hao Zhou, Wenxiang Shang, Ran Lin, Xuanhong Chen, BingBing Ni

ICML 2024 Collage: Light-Weight Low-Precision Strategy for LLM Training Tao Yu, Gaurav Gupta, Karthick Gopalswamy, Amith R Mamidala, Hao Zhou, Jeffrey Huynh, Youngsuk Park, Ron Diamant, Anoop Deoras, Luke Huan

TMLR 2024 Decentralized Decoupled Training for Federated Long-Tailed Learning Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

ICML 2024 ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou

ICLR 2024 FROSTER: Frozen CLIP Is a Strong Teacher for Open-Vocabulary Action Recognition Xiaohu Huang, Hao Zhou, Kun Yao, Kai Han

AAAI 2024 Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution Yuxi Zhou, Xiujie Wang, Jianhua Zhang, Jiajia Wang, Jie Yu, Hao Zhou, Yi Gao, Shengyong Chen

ICLR 2024 Large Language Models Are Not Robust Multiple Choice Selectors Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang

ICML 2024 Mol-AE: Auto-Encoder Based Molecular Representation Learning with 3D Cloze Test Objective Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang, Xinyu Dai, Wei-Ying Ma, Hao Zhou

ICML 2024 MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma

ICLR 2024 Multimodal Molecular Pretraining via Modality Blending Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu

NeurIPS 2024 MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering Yizhen Luo, Zikun Nie, Massimo Hong, Suyuan Zhao, Hao Zhou, Zaiqing Nie

ICML 2024 On Prompt-Driven Safeguarding for Large Language Models Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng

ICLRW 2024 On Prompt-Driven Safeguarding for Large Language Models Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng

ECCV 2024 Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models Xiaoyu Zhu, Hao Zhou, Pengfei Xing, Long Zhao, Hao Xu, Junwei Liang, Alexander G. Hauptmann, Ting Liu, Andrew Gallagher

NeurIPS 2024 P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for Efficient Prediction of Spatiotemporal Dynamics Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu

ICML 2024 Reducing Balancing Error for Causal Inference via Optimal Transport Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao

CVPR 2024 Revisiting the Domain Shift and Sample Uncertainty in Multi-Source Active Domain Transfer Wenqiao Zhang, Zheqi Lv, Hao Zhou, Jia-Wei Liu, Juncheng Li, Mengze Li, Yunfei Li, Dongping Zhang, Yueting Zhuang, Siliang Tang

JAIR 2024 Selfishly Prepaying in Financial Credit Networks Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge

ICLR 2024 Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun

ICLR 2024 Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks Yuxuan Song, Jingjing Gong, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma

ICML 2024 Variance-Reduced Zeroth-Order Methods for Fine-Tuning Language Models Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman, Wooseok Ha

ICLRW 2024 Variance-Reduced Zeroth-Order Methods for Fine-Tuning Language Models Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman, Wooseok Ha

TMLR 2024 VideoGLUE: Video General Understanding Evaluation of Foundation Models Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong

ICML 2024 VideoPrism: A Foundational Visual Encoder for Video Understanding Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong

ICLRW 2023 Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model Danqing Wang, Zeyu Wen, Fei Ye, Lei Li, Hao Zhou

ICMLW 2023 Annealed Biological Sequence Optimization Yuxuan Song, Botian Wang, Hao Zhou, Wei-Ying Ma

NeurIPSW 2023 Backdoor Threats from Compromised Foundation Models to Federated Learning Xi Li, Songhe Wang, Chen Wu, Hao Zhou, Jiaqi Wang

ICML 2023 Coarse-to-Fine: A Hierarchical Diffusion Model for Molecule Generation in 3D Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan

AAAI 2023 Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing Hao Zhou, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Dong Wang

NeurIPS 2023 Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma

NeurIPS 2023 Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

ICLR 2023 Graph Contrastive Learning for Skeleton-Based Action Recognition Xiaohu Huang, Hao Zhou, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang, Xinggang Wang, Wenyu Liu, Bin Feng

NeurIPS 2023 HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang

ICLR 2023 Learning Harmonic Molecular Representations on Riemannian Manifold Yiqun Wang, Yuning Shen, Shi Chen, Lihao Wang, Fei Ye, Hao Zhou

ICLR 2023 On Pre-Training Language Model for Antibody Danqing Wang, Fei Ye, Hao Zhou

ICCV 2023 Sign Language Translation with Iterative Prototype Huijie Yao, Wengang Zhou, Hao Feng, Hezhen Hu, Hao Zhou, Houqiang Li

ICML 2022 Directed Acyclic Transformer for Non-Autoregressive Machine Translation Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang

ICLR 2022 Enhancing Cross-Lingual Transfer by Manifold Mixup Huiyun Yang, Huadong Chen, Hao Zhou, Lei Li

IJCAI 2022 Forgiving Debt in Financial Network Games Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou

AAAI 2022 LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, Lei Li

AAAI 2022 Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li

ICML 2022 On the Learning of Non-Autoregressive Transformers Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang

ECCV 2022 Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure Ruoqi Li, Chongyang Zhang, Hao Zhou, Chao Shi, Yan Luo

ECCV 2022 PSS: Progressive Sample Selection for Open-World Visual Representation Learning Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe

NeurIPS 2022 Regularized Molecular Conformation Fields Lihao Wang, Yi Zhou, Yiqun Wang, Xiaoqing Zheng, Xuanjing Huang, Hao Zhou

ICLR 2022 Switch-GLAT: Multilingual Parallel Machine Translation via Code-Switch Decoder Zhenqiao Song, Hao Zhou, Lihua Qian, Jingjing Xu, Shanbo Cheng, Mingxuan Wang, Lei Li

ECCV 2022 Towards Regression-Free Neural Networks for Diverse Compute Platforms Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia

AAAI 2022 Unsupervised Editing for Counterfactual Stories Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li

NeurIPS 2022 Zero-Shot 3D Drug Design by Sketching and Generating Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou

AAAI 2021 ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li

CVPR 2021 Compatibility-Aware Heterogeneous Visual Search Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto

AAAI 2021 Consecutive Decoding for Speech-to-Text Translation Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li

AAAI 2021 Deep Graph-Neighbor Coherence Preserving Network for Unsupervised Cross-Modal Hashing Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao

NeurIPS 2021 Duplex Sequence-to-Sequence Learning for Reversible Machine Translation Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li

CVPR 2021 Embracing Uncertainty: Decoupling and De-Bias for Robust Temporal Grounding Hao Zhou, Chongyang Zhang, Yan Luo, Yanjun Chen, Chuanping Hu

ECML-PKDD 2021 Follow Your Path: A Progressive Method for Knowledge Distillation Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li

CVPR 2021 Improving Sign Language Translation with Monolingual Data by Sign Back-Translation Hao Zhou, Wengang Zhou, Weizhen Qi, Junfu Pu, Houqiang Li

AAAI 2021 Listen, Understand and Translate: Triple Supervision Decouples End-to-End Speech-to-Text Translation Qianqian Dong, Rong Ye, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li

ICLR 2021 MARS: Markov Molecular Sampling for Multi-Objective Drug Discovery Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li

ICML 2020 Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation Wenxian Shi, Hao Zhou, Ning Miao, Lei Li

AAAI 2020 Importance-Aware Learning for Neural Headline Editing Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu

AISTATS 2020 Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li

AAAI 2020 Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu

ICLR 2020 Mirror-Generative Neural Machine Translation Zaixiang Zheng, Hao Zhou, Shujian Huang, Lei Li, Xin-Yu Dai, Jiajun Chen

AAAI 2020 Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition Hao Zhou, Wengang Zhou, Yun Zhou, Houqiang Li

AAAI 2020 Towards Making the Most of BERT in Neural Machine Translation Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li

ICLR 2020 Variational Template Machine for Data-to-Text Generation Rong Ye, Wenxian Shi, Hao Zhou, Zhongyu Wei, Lei Li

ECCVW 2020 VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu

AAAI 2019 CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li

IJCAI 2019 Correct-and-Memorize: Learning to Translate from Interactive Revisions Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen

IJCAI 2019 GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos Zhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li, Mingmin Jiang

NeurIPS 2019 Kernelized Bayesian SoftMax for Text Generation Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li

AAAI 2018 A Deep Cascade Network for Unaligned Face Attribute Classification Hui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa

AAAI 2018 Augmenting End-to-End Dialogue Systems with Commonsense Knowledge Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang

NeurIPS 2018 BRITS: Bidirectional Recurrent Imputation for Time Series Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li

IJCAI 2018 Commonsense Knowledge Aware Conversation Generation with Graph Attention Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu

AAAI 2018 Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu

JAIR 2017 A Neural Probabilistic Structured-Prediction Method for Transition-Based Natural Language Processing Hao Zhou, Yue Zhang, Chuan Cheng, Shujian Huang, Xinyu Dai, Jiajun Chen

ECCV 2016 Evaluating Local Features for Day-Night Matching Hao Zhou, Torsten Sattler, David W. Jacobs

ECCVW 2016 Evaluating Local Features for Day-Night Matching Hao Zhou, Torsten Sattler, David W. Jacobs

NeurIPS 2016 Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease Hao Zhou, Vamsi K Ithapu, Sathya Narayanan Ravi, Vikas Singh, Grace Wahba, Sterling C Johnson

ECCV 2016 Less Is More: Towards Compact CNNs Hao Zhou, Jose M. Alvarez, Fatih Porikli

CVPR 2012 Learning Image-Specific Parameters for Interactive Segmentation Zhanghui Kuang, Dirk Schnieders, Hao Zhou, Kwan-Yee Kenneth Wong, Yizhou Yu, Bo Peng

CVPR 2012 Markov Weight Fields for Face Sketch Synthesis Hao Zhou, Zhanghui Kuang, Kwan-Yee Kenneth Wong