Zhang, Jie

202 publications

CVPR 2025 AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning Xuecheng Wu, Heli Sun, Yifan Wang, Jiayu Nie, Jie Zhang, Yabing Wang, Junxiao Xue, Liang He

AAAI 2025 Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong

AAAI 2025 An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang

ICLRW 2025 Blind Baselines Beat Membership Inference Attacks for Foundation Models Debeshee Das, Jie Zhang, Florian Tramèr

AAAI 2025 CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder Jianwei Cui, Yu Gu, Shihao Chen, Jie Zhang, Liping Chen, Lirong Dai

ICLR 2025 Causally Motivated Sycophancy Mitigation for Large Language Models Haoxi Li, Xueyang Tang, Jie Zhang, Song Guo, Sikai Bai, Peiran Dong, Yue Yu

NeurIPS 2025 Continual Model Merging Without Data: Dual Projections for Balancing Stability and Plasticity Enneng Yang, Anke Tang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang

ICML 2025 Cowpox: Towards the Immunity of VLM-Based Multi-Agent Systems Yutong Wu, Jie Zhang, Yiming Li, Chao Zhang, Qing Guo, Han Qiu, Nils Lukas, Tianwei Zhang

NeurIPS 2025 DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches Yun Xing, Yue Cao, Nhat Chung, Jie Zhang, Ivor Tsang, Ming-Ming Cheng, Yang Liu, Lei Ma, Qing Guo

NeurIPS 2025 DiEP: Adaptive Mixture-of-Experts Compression Through Differentiable Expert Pruning Sikai Bai, Haoxi Li, Jie Zhang, Zicong Hong, Song Guo

ICLR 2025 Does Training with Synthetic Data Truly Protect Privacy? Yunpeng Zhao, Jie Zhang

ICLR 2025 Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs Jie Zhang, Zhongqi Wang, Mengqi Lei, Zheng Yuan, Bei Yan, Shiguang Shan, Xilin Chen

ICML 2025 EffiCoder: Enhancing Code Generation in Large Language Models Through Efficiency-Aware Fine-Tuning Dong Huang, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie Zhang

ICML 2025 Efficient Long Context Fine-Tuning with Chunk Flow Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin

ICML 2025 EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers Daiheng Gao, Shilin Lu, Wenbo Zhou, Jiaming Chu, Jie Zhang, Mengxi Jia, Bang Zhang, Zhaoxin Fan, Weiming Zhang

ICLR 2025 Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View Xuan Liu, Jie Zhang, HaoYang Shang, Song Guo, Chengxu Yang, Quanyan Zhu

CVPR 2025 Face Forgery Video Detection via Temporal Forgery Cue Unraveling Zonghui Guo, Yingjie Liu, Jie Zhang, Haiyong Zheng, Shiguang Shan

AAAI 2025 Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection Jiaqi Chen, Xiaoye Zhu, Tianyang Liu, Ying Chen, Xinhui Chen, Yiwen Yuan, Chak Tou Leong, Zuchao Li, Tang Long, Lei Zhang, Chenyu Yan, Guanghao Mei, Jie Zhang, Lefei Zhang

CVPR 2025 MERGE: Multi-Faceted Hierarchical Graph-Based GNN for Gene Expression Prediction from Whole Slide Histopathology Images Aniruddha Ganguly, Debolina Chatterjee, Wentao Huang, Jie Zhang, Alisa Yurovsky, Travis Steele Johnson, Chao Chen

NeurIPS 2025 Mask Image Watermarking Runyi Hu, Jie Zhang, Shiqian Zhao, Nils Lukas, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang

AAAI 2025 Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary Yanhua Li, Xiaocao Ouyang, Chaofan Pan, Jie Zhang, Sen Zhao, Shuyin Xia, Xin Yang, Guo-Yin Wang, Tianrui Li

AAAI 2025 Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang

ICLR 2025 REEF: Representation Encoding Fingerprints for Large Language Models Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao

AAAI 2025 Re2LLM: Reflective Reinforcement Large Language Model for Session-Based Recommendation Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang

NeurIPS 2025 RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics Jie Zhang, Cezara Petrui, Kristina Nikolić, Florian Tramèr

AAAI 2025 RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition Jie Zhang, Xun Gong, Zhonglin Sun

NeurIPS 2025 RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models Chenxu Niu, Jie Zhang, Yanbing Liu, Yunpeng Li, Jinta Weng, Yue Hu

CVPR 2025 SceneTAP: Scene-Coherent Typographic Adversarial Planner Against Vision-Language Models in Real-World Environments Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor Tsang, Yang Liu, Qing Guo

IJCAI 2025 Stackelberg vs. Nash in the Lottery Colonel Blotto Game Yan Liu, Bonan Ni, Weiran Shen, Zihe Wang, Jie Zhang

NeurIPS 2025 Synergistic Tensor and Pipeline Parallelism Mengshi Qi, Jiaxuan Peng, Jie Zhang, Juan Zhu, Yong Li, Huadong Ma

ICML 2025 Textual Unlearning Gives a False Sense of Unlearning Jiacheng Du, Zhibo Wang, Jie Zhang, Xiaoyi Pang, Jiahui Hu, Kui Ren

ICML 2025 The Jailbreak Tax: How Useful Are Your Jailbreak Outputs? Kristina Nikolić, Luze Sun, Jie Zhang, Florian Tramèr

ICLRW 2025 The Jailbreak Tax: How Useful Are Your Jailbreak Outputs? Kristina Nikolić, Luze Sun, Jie Zhang, Florian Tramèr

ICLRW 2025 Tracing the Misuse of Personalized Textual Embeddings for Text-to-Image Models Weitao Feng, Jiyan He, Jie Zhang, Tianyi Wei, Wenbo Zhou, Qing Guo, Weiming Zhang, Tianwei Zhang, Nenghai Yu

ICCV 2025 VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Hao Chen, Han Tao, Guo Song, Jie Zhang, Yonghan Dong, Yunlong Yu, Lei Bai

CVPR 2025 Video-Bench: Human-Aligned Video Generation Benchmark Hui Han, Siyuan Li, Jiaqi Chen, Yiwen Yuan, Yuling Wu, Yufan Deng, Chak Tou Leong, Hanwen Du, Junchen Fu, Youhua Li, Jie Zhang, Chi Zhang, Li-jia Li, Yongxin Ni

ICLR 2025 VideoShield: Regulating Diffusion-Based Video Generation Models via Watermarking Runyi Hu, Jie Zhang, Yiming Li, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang

NeurIPS 2024 ART: Automatic Red-Teaming for Text-to-Image Models to Protect Benign Users Guanlin Li, Kangjie Chen, Shudong Zhang, Jie Zhang, Tianwei Zhang

NeurIPS 2024 AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents Edoardo Debenedetti, Jie Zhang, Mislav Balunovic, Luca Beurer-Kellner, Marc Fischer, Florian Tramèr

ICML 2024 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu, Xueyang Tang, Zicong Hong

AAAI 2024 An Optimal Transport View for Subspace Clustering and Spectral Clustering Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng

ICML 2024 AquaLoRA: Toward White-Box Protection for Customized Stable Diffusion Models via Watermark LoRA Weitao Feng, Wenbo Zhou, Jiyan He, Jie Zhang, Tianyi Wei, Guanlin Li, Tianwei Zhang, Weiming Zhang, Nenghai Yu

ICML 2024 Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu

NeurIPS 2024 Collaboration! Towards Robust Neural Methods for Routing Problems Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen

AAAI 2024 Combating Data Imbalances in Federated Semi-Supervised Learning with Dual Regulators Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao

WACV 2024 Contextual Affinity Distillation for Image Anomaly Detection Jie Zhang, Masanori Suganuma, Takayuki Okatani

AAAI 2024 Cost Minimization for Equilibrium Transition Haoqiang Huang, Zihe Wang, Zhide Wei, Jie Zhang

AAAI 2024 Data-Free Hard-Label Robustness Stealing Attack Xiaojian Yuan, Kejiang Chen, Wen Huang, Jie Zhang, Weiming Zhang, Nenghai Yu

ICLR 2024 Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang

CVPR 2024 DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning Sikai Bai, Jie Zhang, Song Guo, Shuaicheng Li, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu

ECCV 2024 DiffClass: Diffusion-Based Class Incremental Learning Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang

IJCAI 2024 Dual Expert Distillation Network for Generalized Zero-Shot Learning Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao

ICML 2024 Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu

AAAI 2024 Enhancing Job Recommendation Through LLM-Based Generative Adversarial Networks Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang

AAAI 2024 Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain Xuanhua He, Tao Hu, Guoli Wang, Zejin Wang, Run Wang, Qian Zhang, Keyu Yan, Ziyi Chen, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou

IJCAI 2024 Facility Location Problems with Capacity Constraints: Two Facilities and Beyond Gennaro Auricchio, Zihe Wang, Jie Zhang

AAAI 2024 Frequency-Adaptive Pan-Sharpening with Mixture of Experts Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou

ICML 2024 High-Order Contrastive Learning with Fine-Grained Comparative Levels for Sparse Ordinal Tensor Completion Yu Dai, Junchen Shen, Zijie Zhai, Danlin Liu, Jingyang Chen, Yu Sun, Ping Li, Jie Zhang, Kai Zhang

ICLR 2024 Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo

NeurIPS 2024 Learning to Handle Complex Constraints for Vehicle Routing Problems Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang

ICML 2024 MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Xu Chi

ICLR 2024 Multi-Granularity Correspondence Learning from Long-Term Noisy Videos Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng

AAAI 2024 Multichannel AV-Wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation Qiushi Zhu, Jie Zhang, Yu Gu, Yuchen Hu, Lirong Dai

UAI 2024 On the Capacitated Facility Location Problem with Scarce Resources Gennaro Auricchio, Harry J. Clough, Jie Zhang

AAAI 2024 On the Robustness of Neural-Enhanced Video Streaming Against Adversarial Attacks Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu

IJCAI 2024 ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo

AAAI 2024 Personalization as a Shortcut for Few-Shot Backdoor Attack Against Text-to-Image Diffusion Models Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu

CVPR 2024 Pre-Trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness Sibo Wang, Jie Zhang, Zheng Yuan, Shiguang Shan

ICLR 2024 Real-Fake: Effective Training Data Synthesis Through Distribution Matching Jianhao Yuan, Jie Zhang, Shuyang Sun, Philip Torr, Bo Zhao

NeurIPSW 2024 Research Journey of Generative Protein Modeling Xinhui Chen, Yiwen Yuan, Joseph Liu, Chak Tou Leong, Zhen Xie, Xiaoye Zhu, Ying Chen, Songyue Chen, Chenyi Wang, Kun Li, Jie Zhang, Zuchao Li, Jiaqi Chen

NeurIPS 2024 Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox Xingming Long, Jie Zhang, Shiguang Shan, Xilin Chen

ECCV 2024 Robust-Wide: Robust Watermarking Against Instruction-Driven Image Editing Runyi Hu, Jie Zhang, Ting Xu, Jiwei Li, Tianwei Zhang

AAAI 2024 SAME: Sample Reconstruction Against Model Extraction Attacks Yi Xie, Jie Zhang, Shiqian Zhao, Tianwei Zhang, Xiaofeng Chen

ICLR 2024 SYMBOL: Generating Flexible Black-Box Optimizers Through Symbolic Equation Learning Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong

ECCV 2024 T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models Zhongqi Wang, Jie Zhang, Shiguang Shan, Xilin Chen

NeurIPS 2024 Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing Peiran Dong, Bingjie Wang, Song Guo, Junxiao Wang, Jie Zhang, Zicong Hong

ICML 2024 Transferable Facial Privacy Protection Against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation Kui Zhang, Hang Zhou, Jie Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu

IJCAI 2024 Unlearning During Learning: An Efficient Federated Machine Unlearning Method Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang

CVPR 2024 Video Harmonization with Triplet Spatio-Temporal Variation Patterns Zonghui Guo, Xinyu Han, Jie Zhang, Shiguang Shan, Haiyong Zheng

CVPR 2023 Accelerating Dataset Distillation via Model Augmentation Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu

AAAI 2023 AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents Xi Yang, Jie Zhang, Han Fang, Chang Liu, Zehua Ma, Weiming Zhang, Nenghai Yu

AAAI 2023 DeAR: A Deep-Learning-Based Audio Re-Recording Resilient Watermarking Chang Liu, Jie Zhang, Han Fang, Zehua Ma, Weiming Zhang, Nenghai Yu

AAAI 2023 Delving into the Adversarial Robustness of Federated Learning Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu

NeurIPS 2023 Ensemble-Based Deep Reinforcement Learning for Vehicle Routing Problems Under Distribution Shift Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang

ICLR 2023 IDEAL: Query-Efficient Data-Free Learning from Black-Box Models Jie Zhang, Chen Chen, Lingjuan Lyu

ICLR 2023 Learning Sparse Group Models Through Boolean Relaxation Yijie Wang, Yuan Zhou, Xiaoqing Huang, Kun Huang, Jie Zhang, Jianzhu Ma

UAI 2023 Multi-View Graph Contrastive Learning for Solving Vehicle Routing Problems Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang

AAAI 2023 Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang

ICCV 2023 Pyramid Dual Domain Injection Network for Pan-Sharpening Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou

CVPR 2023 Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification Jie Zhang, Yongshan Zhang, Yicong Zhou

ICCV 2023 Rethinking Data Distillation: Do Not Overlook Calibration Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Yiqun Xie, Ruqi Zhang, Dongkuan Xu

NeurIPS 2023 SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu

ICCV 2023 TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu

ICML 2023 Towards Omni-Generalizable Neural Methods for Vehicle Routing Problems Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

ICML 2023 Towards Unbiased Training in Federated Open-World Semi-Supervised Learning Jie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu

ICML 2022 Active Sampling for Min-Max Fairness Jacob D Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, Chris Russell, Jie Zhang

ECCV 2022 Adaptive Image Transformations for Transfer-Based Adversarial Attack Zheng Yuan, Jie Zhang, Shiguang Shan

ECML-PKDD 2022 Class-Incremental Learning via Knowledge Amalgamation Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan Sun

NeurIPS 2022 DENSE: Data-Free One-Shot Federated Learning Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu

CVPR 2022 Enhancing Face Recognition with Self-Supervised 3D Reconstruction Mingjie He, Jie Zhang, Shiguang Shan, Xilin Chen

ICML 2022 Federated Learning with Label Distribution Skew via Logits Calibration Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu

NeurIPS 2022 Graph Learning Assisted Multi-Objective Integer Programming Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin

NeurIPS 2022 Hierarchical Channel-Spatial Encoding for Communication-Efficient Collaborative Learning Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu

CVPR 2022 Layer-Wised Model Aggregation for Personalized Federated Learning Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu

ICLR 2022 Learning Scenario Representation for Solving Two-Stage Stochastic Integer Programs Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

AAAI 2022 Learning to Solve Routing Problems via Distributionally Robust Optimization Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang

ICLR 2022 Leveraging Automated Unit Tests for Unsupervised Code Translation Baptiste Roziere, Jie Zhang, Francois Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample

IJCAI 2022 Next Point-of-Interest Recommendation with Inferring Multi-Step Future Preferences Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu

AAAI 2022 Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha

CVPR 2022 Towards Efficient Data Free Black-Box Adversarial Attack Jie Zhang, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Lei Zhang, Chao Wu

AAAI 2022 Tracing Text Provenance via Context-Aware Lexical Substitution Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, Nenghai Yu

CVPRW 2021 HINet: Half Instance Normalization Network for Image Restoration Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, Chengpeng Chen

AAAI 2021 Initiative Defense Against Facial Manipulation Qidong Huang, Jie Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu

ICCVW 2021 LUAI Challenge 2021 on Learning to Understand Aerial Images Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu

NeurIPS 2021 Learning Large Neighborhood Search Policy for Integer Programming Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

ICCVW 2021 MANet: A Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic Motions Xuenan Liu, Xuezhi Yang, Ziyan Meng, Ye Wang, Jie Zhang, Alexander Wong

ICCV 2021 Meta Gradient Adversarial Attack Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan

AAAI 2021 Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

NeurIPS 2021 NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

NeurIPS 2021 Parameterized Knowledge Transfer for Personalized Federated Learning Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu

AAAI 2021 Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract) Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang

IJCAI 2021 Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification Ziyu Liu, Wei Shao, Jie Zhang, Min Zhang, Kun Huang

ECCVW 2020 A Deep Learning Filter for Visual Drone Single Object Tracking Xin Zhang, Licheng Jiao, Xu Liu, Xiaotong Li, Wenhua Zhang, Hao Zhu, Jie Zhang

AAAI 2020 A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification Under Label Latency Scenario Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong

IJCAI 2020 A Speech-to-Knowledge-Graph Construction System Xiaoyi Fu, Jie Zhang, Hao Yu, Jiachen Li, Dong Chen, Jie Yuan, Xindong Wu

AAAI 2020 AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang

ICLR 2020 Adaptive Structural Fingerprints for Graph Attention Networks Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang

AAAI 2020 An Attentional Recurrent Neural Network for Personalized Next Location Recommendation Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng

IJCAI 2020 An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-Ins Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner

AAAI 2020 Bounded Incentives in Manipulating the Probabilistic Serial Rule Zihe Wang, Zhide Wei, Jie Zhang

AAAI 2020 COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment Leonid Zeynalvand, Tie Luo, Jie Zhang

WACV 2020 Class-Incremental Learning via Deep Model Consolidation Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry Heck, Heming Zhang, C.-C. Jay Kuo

IJCAI 2020 Efficient Community Search over Large Directed Graph: An Augmented Index-Based Approach Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King

NeurIPS 2020 Graph Random Neural Networks for Semi-Supervised Learning on Graphs Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang

NeurIPS 2020 Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Xu Chi

AAAI 2020 Model Watermarking for Image Processing Networks Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, Hao Cui, Nenghai Yu

IJCAI 2020 Multi-Robot Adversarial Patrolling Strategies via Lattice Paths Jan Bürmann, Jie Zhang

NeurIPS 2020 Passport-Aware Normalization for Deep Model Protection Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu

WACV 2020 Regularize, Expand and Compress: NonExpansive Continual Learning Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang

JAIR 2019 A Sampling Approach for Proactive Project Scheduling Under Generalized Time-Dependent Workability Uncertainty Wen Song, Donghun Kang, Jie Zhang, Zhiguang Cao, Hui Xi

IJCAI 2019 ATSIS: Achieving the Ad Hoc Teamwork by Sub-Task Inference and Selection Shuo Chen, Ewa Andrejczuk, Athirai Aravazhi Irissappane, Jie Zhang

IJCAI 2019 Average-Case Analysis of the Assignment Problem with Independent Preferences Yansong Gao, Jie Zhang

AAAI 2019 General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality Using Continuum-Armed Bandits Zehong Hu, Jie Zhang, Zhao Li

IJCAI 2019 Generative Visual Dialogue System via Weighted Likelihood Estimation Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo

ICML 2019 Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization Kai Zhang, Sheng Zhang, Jun Liu, Jun Wang, Jie Zhang

IJCAI 2019 ProNE: Fast and Scalable Network Representation Learning Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding

AAAI 2019 Supervised User Ranking in Signed Social Networks Xiaoming Li, Hui Fang, Jie Zhang

ICCVW 2019 VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results Dawei Du, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bo Han, Chunhui Zhang, Guizhong Liu, Han Wu, Hao Wen, Haoran Wang, Pengfei Zhu, Jiaqing Fan, Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Longyin Wen, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu Ding, Ning Wang, Peng Wang, Qintao Hu, Xiao Bian, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Haibin Ling, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Qinghua Hu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Jiayu Zheng, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhenhua Feng, Zhipeng Zhang, Zhiyong Yu, Tao Peng, Zhizhao Duan, Zhuojin Sun, Xinyao Wang

IJCAI 2018 A Novel Strategy for Active Task Assignment in Crowd Labeling Zehong Hu, Jie Zhang

IJCAI 2018 Algorithms for Fair Load Shedding in Developing Countries Olabambo I. Oluwasuji, Obaid Malik, Jie Zhang, Sarvapali D. Ramchurn

AAAI 2018 Average-Case Approximation Ratio of Scheduling Without Payments Jie Zhang

IJCAI 2018 Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang

AAAI 2018 FILE: A Novel Framework for Predicting Social Status in Signed Networks Xiaoming Li, Hui Fang, Jie Zhang

ECCV 2018 Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection Jie Zhang, Yi Xu, Bingbing Ni, Zhenyu Duan

NeurIPS 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu

AAAI 2018 POMDP-Based Decision Making for Fast Event Handling in VANETs Shuo Chen, Athirai Aravazhi Irissappane, Jie Zhang

AAAI 2018 Risk-Aware Proactive Scheduling via Conditional Value-at-Risk Wen Song, Donghun Kang, Jie Zhang, Hui Xi

ECCVW 2018 VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He

AAAI 2017 A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty Wen Song, Donghun Kang, Jie Zhang, Hui Xi

IJCAI 2017 A Trust-Based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing Qikun Xiang, Jie Zhang, Ido Nevat, Pengfei Zhang

WACVW 2017 An Intelligent Building Occupancy Detection System Based on Sparse Auto-Encoder Zhi Liu, Jie Zhang, Li Geng

AAAI 2017 Efficient Stochastic Optimization for Low-Rank Distance Metric Learning Jie Zhang, Lijun Zhang

AAAI 2017 Exploiting Both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon

IJCAI 2017 MRLR: Multi-Level Representation Learning for Personalized Ranking in Recommendation Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu

AAAI 2017 Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath

IJCAI 2017 Online Reputation Fraud Campaign Detection in User Ratings Chang Xu, Jie Zhang, Zhu Sun

IJCAI 2017 Optimal Posted-Price Mechanism in Microtask Crowdsourcing Zehong Hu, Jie Zhang

AAAI 2017 Rethinking the Link Prediction Problem in Signed Social Networks Xiaoming Li, Hui Fang, Jie Zhang

CVPRW 2017 Robust FEC-CNN: A High Accuracy Facial Landmark Detection System Zhenliang He, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen

IJCAI 2016 A Distributed and Scalable Machine Learning Approach for Big Data Hongliang Guo, Jie Zhang

AAAI 2016 A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang

AAAI 2016 Efficient Computation of Emergent Equilibrium in Agent-Based Simulation Zehong Hu, Meng Sha, Moath H. A. Jarrah, Jie Zhang, Hui Xi

AAAI 2016 Is It Harmful When Advisors Only Pretend to Be Honest? Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu

ECML-PKDD 2016 Joint Learning of Entity Semantics and Relation Pattern for Relation Extraction Suncong Zheng, Jiaming Xu, Hongyun Bao, Zhenyu Qi, Jie Zhang, Hongwei Hao, Bo Xu

AAAI 2016 Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath

CVPR 2016 Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen

JAIR 2016 ProMoca: Probabilistic Modeling and Analysis of Agents in Commitment Protocols Akin Günay, Yang Liu, Jie Zhang

JAIR 2015 A Case-Based Reasoning Framework to Choose Trust Models for Different E-Marketplace Environments Athirai Aravazhi Irissappane, Jie Zhang

ICCVW 2015 AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation Xin Liu, Shaoxin Li, Meina Kan, Jie Zhang, Shuzhe Wu, Wenxian Liu, Hu Han, Shiguang Shan, Xilin Chen

AAAI 2015 Automated Analysis of Commitment Protocols Using Probabilistic Model Checking Akin Günay, Songzheng Song, Yang Liu, Jie Zhang

ACML 2015 Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach Bin Li, Julia Yu, Jie Zhang, Bin Ke

AAAI 2015 Facility Location with Double-Peaked Preferences Aris Filos-Ratsikas, Minming Li, Jie Zhang, Qiang Zhang

ACML 2015 Improving Sybil Detection via Graph Pruning and Regularization Techniques Huanhuan Zhang, Jie Zhang, Carol Fung, Chang Xu

ICCV 2015 Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen

IJCAI 2015 Quantifying Robustness of Trust Systems Against Collusive Unfair Rating Attacks Using Information Theory Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu

IJCAI 2015 Secure Routing in Wireless Sensor Networks via POMDPs Athirai Aravazhi Irissappane, Jie Zhang, Frans A. Oliehoek, Partha Sarathi Dutta

AAAI 2015 TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings Guibing Guo, Jie Zhang, Neil Yorke-Smith

ECCV 2014 Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen

AAAI 2014 Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation Hui Fang, Yang Bao, Jie Zhang

AAAI 2014 RepRev: Mitigating the Negative Effects of Misreported Ratings Yuan Liu, Siyuan Liu, Jie Zhang, Hui Fang, Han Yu, Chunyan Miao

AAAI 2014 Reputation-Aware Continuous Double Auction Yuan Liu, Jie Zhang, Han Yu, Chunyan Miao

AAAI 2014 The Fisher Market Game: Equilibrium and Welfare Simina Brânzei, Yiling Chen, Xiaotie Deng, Aris Filos-Ratsikas, Søren Kristoffer Stiil Frederiksen, Jie Zhang

AAAI 2014 TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation Yang Bao, Hui Fang, Jie Zhang

IJCAI 2013 A Framework to Choose Trust Models for Different E-Marketplace Environments Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang

IJCAI 2013 A Novel Bayesian Similarity Measure for Recommender Systems Guibing Guo, Jie Zhang, Neil Yorke-Smith

IJCAI 2013 Externalities in Cake Cutting Simina Brânzei, Ariel D. Procaccia, Jie Zhang

IJCAI 2013 Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity Hui Fang, Yang Bao, Jie Zhang

ICCV 2011 Correlative Multi-Label Multi-Instance Image Annotation Xiangyang Xue, Wei Zhang, Jie Zhang, Bin Wu, Jianping Fan, Yao Lu

AAAI 2007 An Incentive Mechanism for Promoting Honesty in E-Marketplaces Jie Zhang

AAAI 2007 Design of a Mechanism for Promoting Honesty in E-Marketplaces Jie Zhang, Robin Cohen

IJCAI 2005 Value-Centric Trust Model with Improved Familiarity Measurement Jie Zhang, Ali A. Ghorbani

CVPR 2004 Affine Image Registration Using a New Information Metric Jie Zhang, Anand Rangarajan