ML Anthology

Zhang, Zhen

65 publications

ICLR 2026 Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning Yuhang Liu, Zhen Zhang, Dong Gong, Erdun Gao, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
ICLR 2026 Conformalized Survival Counterfactuals Prediction for General Right-Censored Data Sijie Ren, Meng Yan, Zhen Zhang, Xu Yinghui, Xinwei Sun
ICLR 2026 Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis Xuanzhong Chen, Zile Qiao, Guoxin Chen, Liangcai Su, Zhen Zhang, Xinyu Wang, Pengjun Xie, Fei Huang, Jingren Zhou, Yong Jiang, Ting Chen
ICLR 2026 I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? Yuhang Liu, Dong Gong, Yichao Cai, Erdun Gao, Zhen Zhang, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi
ICLR 2026 Presenting a Paper Is an Art: Self-Improvement Aesthetic Agents for Academic Presentations Chengzhi Liu, Yuzhe Yang, Kaiwen Zhou, Zhen Zhang, Yue Fan, Yanan Xie, Peng Qi, Xin Eric Wang
ICLR 2026 Scaling Agents via Continual Pre-Training Liangcai Su, Zhen Zhang, Guangyu Li, Zhuo Chen, Chenxi Wang, Maojia Song, Xinyu Wang, Kuan Li, Jialong Wu, Xuanzhong Chen, Zile Qiao, Zhongwang Zhang, Huifeng Yin, Shihao Cai, Runnan Fang, Zhengwei Tao, Wenbiao Yin, Rui Ye, Yong Jiang, Ningyu Zhang, Pengjun Xie, Fei Huang, Kai Ye, Kewei Tu, Chenxiong Qian, Jingren Zhou
ICLR 2026 Theoretical Modeling of Large Language Model Self-Improvement Training Dynamics Through Solver-Verifier Gap Yifan Sun, Yushan Liang, Zhen Zhang, Xin Liu, Jiaye Teng
ICLR 2026 WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning Kuan Li, Zhongwang Zhang, Huifeng Yin, Rui Ye, Yida Zhao, Liwen Zhang, Litu Ou, Ding-Chu Zhang, Xixi Wu, Xinmiao Yu, Jialong Wu, Xinyu Wang, Zile Qiao, Zhen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Zhi-Qin John Xu, Shuai Wang, Minhao Cheng, Jingren Zhou
ICLR 2026 WebWatcher: Breaking New Frontiers of Vision-Language Deep Research Agent Xinyu Geng, Peng Xia, Zhen Zhang, Xinyu Wang, Qiuchen Wang, Ruixue Ding, Chenxi Wang, Jialong Wu, Kuan Li, Yida Zhao, Huifeng Yin, Yong Jiang, Pengjun Xie, Fei Huang, Huaxiu Yao, Yi R. Fung, Jingren Zhou
NeurIPS 2025 Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction Nadhir Hassen, Zhen Zhang, Johan W. Verjans
ICLR 2025 Analytic DAG Constraints for Differentiable DAG Learning Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi
ICLR 2025 Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-Adaptive Planning Agent Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip S. Yu
ICCV 2025 Bias-Resilient Weakly Supervised Semantic Segmentation Using Normalizing Flows Xianglin Qiu, Xiaoyang Wang, Zhen Zhang, Jimin Xiao
ICCV 2025 Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning Tianjiao Jiang, Zhen Zhang, Yuhang Liu, Javen Qinfeng Shi
AAAI 2025 Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving Yuhuan Lu, Zhen Zhang, Rufan Bai, Han Liu, Wei Wang
NeurIPS 2025 Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies Junyu Huang, Zhen Zhang, Beirong Cui, Jianxin Wang, Qilong Feng
TMLR 2025 Highway Graph to Accelerate Reinforcement Learning Zidu Yin, Zhen Zhang, Dong Gong, Stefano V Albrecht, Javen Qinfeng Shi
TMLR 2025 Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
ICML 2025 Learning Cascade Ranking as One Network Yunli Wang, Zhen Zhang, Zhiqiang Wang, Zixuan Yang, Yu Li, Jian Yang, Shiyang Wen, Peng Jiang, Kun Gai
ICLR 2025 Minimax Optimal Two-Stage Algorithm for Moment Estimation Under Covariate Shift Zhen Zhang, Xin Liu, Shaoli Wang, Jiaye Teng
ICLR 2025 New Algorithms for the Learning-Augmented K-Means Problem Junyu Huang, Qilong Feng, Ziyun Huang, Zhen Zhang, Jinhui Xu, Jianxin Wang
NeurIPS 2025 On the Value of Cross-Modal Misalignment in Multimodal Representation Learning Yichao Cai, Yuhang Liu, Erdun Gao, Tianjiao Jiang, Zhen Zhang, Anton van den Hengel, Javen Qinfeng Shi
NeurIPS 2025 SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes Yifan Yang, Zhen Zhang, Rupak Vignesh Swaminathan, Jing Liu, Nathan Susanj, Zheng Zhang
NeurIPS 2025 Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space Zhen Zhang, Xuehai He, Weixiang Yan, Ao Shen, Chenyang Zhao, Xin Eric Wang
NeurIPS 2025 Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation Zhen Zhang, Javen Qinfeng Shi, Wee Sun Lee
ICCV 2025 Split-and-Combine: Enhancing Style Augmentation for Single Domain Generalization Zhen Zhang, Shuai Yang, Qianlong Dang, Zhize Wu, Lichuan Gu
NeurIPS 2025 Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming Zhen Zhang, Bingsheng He
ECCV 2024 CLAP: Isolating Content from Style Through Contrastive Learning with Augmented Prompts Yichao Cai, Yuhang Liu, Zhen Zhang, Javen Qinfeng Shi
AAAI 2024 Coreference Graph Guidance for Mind-mAP Generation Zhuowei Zhang, Mengting Hu, Yinhao Bai, Zhen Zhang
ICLR 2024 EX-Graph: A Pioneering Dataset Bridging Ethereum and X Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He
ICLR 2024 Identifiable Latent Polynomial Causal Models Through the Lens of Change Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
TMLR 2024 InvariantStock: Learning Invariant Features for Mastering the Shifting Market Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi
NeurIPS 2024 Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets Bingqiao Luo, Zhen Zhang, Qian Wang, Bingsheng He
NeurIPS 2024 Parameterized Approximation Schemes for Fair-Range Clustering Zhen Zhang, Xiaohong Chen, Limei Liu, Jie Chen, Junyu Huang, Qilong Feng
AAAI 2024 Rethinking Propagation for Unsupervised Graph Domain Adaptation Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu
NeurIPS 2024 Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou
AAAI 2024 Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation Zhen Zhang, Junfeng Yang, Limei Liu, Xuesong Xu, Guozhen Rong, Qilong Feng
NeurIPSW 2023 Accelerated High-Entropy Alloys Discovery for Electrocatalysis via Robotic-Aided Active Learning Zhichu Ren, Zhen Zhang, Yunsheng Tian, Ju Li
JMLR 2023 Factor Graph Neural Networks Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee
NeurIPS 2023 Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He
AAAI 2023 Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding Liang Liao, Wenyi Chen, Zhen Zhang, Jing Xiao, Yan Yang, Chia-Wen Lin, Shin'ichi Satoh
CVPRW 2022 A Lightweight Network for High Dynamic Range Imaging Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong
ECCV 2022 Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu
CVPRW 2022 NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park
CVPRW 2022 Neural Network-Based In-Loop Filter for CLIC 2022 Yonghua Wang, Jingchi Zhang, Zhengang Li, Xing Zeng, Zhen Zhang, Diankai Zhang, Yunlin Long, Ning Wang
NeurIPS 2022 Sparse Structure Search for Delta Tuning Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun
NeurIPS 2022 Truncated Matrix Power Iteration for Differentiable DAG Learning Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
ECML-PKDD 2021 Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu
NeurIPS 2020 Factor Graph Neural Networks Zhen Zhang, Fan Wu, Wee Sun Lee
AISTATS 2020 Multiplicative Gaussian Particle Filter Xuan Su, Wee Sun Lee, Zhen Zhang
AAAI 2020 Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee
ICCV 2019 Deep Graphical Feature Learning for the Feature Matching Problem Zhen Zhang, Wee Sun Lee
NeurIPS 2019 KerGM: Kernelized Graph Matching Zhen Zhang, Yijian Xiang, Lingfei Wu, Bing Xue, Arye Nehorai
IJCAI 2018 ANRL: Attributed Network Representation Learning via Deep Neural Networks Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang
CVPR 2018 Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation Zhen Zhang, Mianzhi Wang, Yan Huang, Arye Nehorai
CVPR 2018 Convolutional Sequence to Sequence Model for Human Dynamics Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee
NeurIPS 2018 RetGK: Graph Kernels Based on Return Probabilities of Random Walks Zhen Zhang, Mianzhi Wang, Yijian Xiang, Yan Huang, Arye Nehorai
ICCV 2017 Depth and Image Restoration from Light Field in a Scattering Medium Jiandong Tian, Zachary Murez, Tong Cui, Zhen Zhang, David Kriegman, Ravi Ramamoorthi
IJCAI 2017 Dynamic Programming Bipartite Belief Propagation for Hyper Graph Matching Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi
IJCAI 2017 Improved Bounded Matrix Completion for Large-Scale Recommender Systems Huang Fang, Zhen Zhang, Yiqun Shao, Cho-Jui Hsieh
AAAI 2017 Solving Constrained Combinatorial Optimisation Problems via MAP Inference Without High-Order Penalties Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel
CVPR 2016 Joint Probabilistic Matching Using M-Best Solutions Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony Dick, Ian Reid
CVPR 2016 Pairwise Matching Through Max-Weight Bipartite Belief Propagation Zhen Zhang, Qinfeng Shi, Julian McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel
ICCV 2015 Joint Probabilistic Data Association Revisited Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony Dick, Ian Reid
CVPR 2015 Learning Graph Structure for Multi-Label Image Classification via Clique Generation Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang