Jiang Bian

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 141

Top Venues

Publications

Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Jiang Bian, Yanjie Fu
Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows. CoRR (2024)
Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong
DEWP: Deep Expansion Learning for Wind Power Forecasting. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning. CoRR (2023)
Lei Song, Chuheng Zhang, Li Zhao, Jiang Bian
Pre-Trained Large Language Models for Industrial Control. CoRR (2023)
Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan
GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework. CoRR (2023)
Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. AAAI (2023)
Bei Li, Rui Wang, Junliang Guo, Kaitao Song, Xu Tan, Hany Hassan, Arul Menezes, Tong Xiao, Jiang Bian, JingBo Zhu
Deliberate then Generate: Enhanced Prompting Framework for Text Generation. CoRR (2023)
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
UADB: Unsupervised Anomaly Detection Booster. ICDE (2023)
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series. KDD (2023)
Xianliang Yang, Zhihao Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Jiang Bian
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management. CoRR (2023)
Chenfei Kang, Peiling Lu, Botao Yu, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian
EmoGen: Eliminating Subjective Bias in Emotional Music Generation. CoRR (2023)
Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. CoRR (2023)
Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio
Regeneration Learning: A Learning Paradigm for Data Generation. CoRR (2023)
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
On the Generalization Properties of Diffusion Models. NeurIPS (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD (2023)
Kai Shen, Zeqian Ju, Xu Tan, Yanqing Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers. CoRR (2023)
Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian
H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem. AAAI (2023)
Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu
Web-based Long-term Spine Treatment Outcome Forecasting. KDD (2023)
Dongchao Yang, Jinchuan Tian, Xu Tan, Rongjie Huang, Songxiang Liu, Xuankai Chang, Jiatong Shi, Sheng Zhao, Jiang Bian, Xixin Wu, Zhou Zhao, Shinji Watanabe, Helen Meng
UniAudio: An Audio Foundation Model Toward Universal Audio Generation. CoRR (2023)
Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
Learning Physics-Informed Neural Networks without Stacked Back-propagation. AISTATS (2023)
Zenghao Chai, Tianke Zhang, Tianyu He, Xu Tan, Tadas Baltrusaitis, HsiangTao Wu, Runnan Li, Sheng Zhao, Chun Yuan, Jiang Bian
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details. ICCV (2023)
Jiawen Zhang, Xumeng Wen, Shun Zheng, Jia Li, Jiang Bian
ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting. CoRR (2023)
Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian
Towards Foundation Models for Learning on Tabular Data. CoRR (2023)
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
On the Generalization Properties of Diffusion Models. CoRR (2023)
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models. NeurIPS (2023)
Zenghao Chai, Tianke Zhang, Tianyu He, Xu Tan, Tadas Baltrusaitis, HsiangTao Wu, Runnan Li, Sheng Zhao, Chun Yuan, Jiang Bian
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details. CoRR (2023)
Tianlang He, Keyan Lu, Chang Xu, Yang Liu, Weiqing Liu, S.-H. Gary Chan, Jiang Bian
Efficient Behavior-consistent Calibration for Multi-agent Market Simulation. CoRR (2023)
Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian
H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem. CoRR (2023)
Peiling Lu, Xin Xu, Chenfei Kang, Botao Yu, Chengyi Xing, Xu Tan, Jiang Bian
MuseCoco: Generating Symbolic Music from Text. CoRR (2023)
Yichong Leng, Zhifang Guo, Kai Shen, Xu Tan, Zeqian Ju, Yanqing Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiang-Yang Li, Sheng Zhao, Tao Qin, Jiang Bian
PromptTTS 2: Describing and Generating Voices with Text Prompt. CoRR (2023)
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models. CoRR (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR (2023)
Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, Sheng Zhao, Jiang Bian
GAIA: Zero-shot Talking Avatar Generation. CoRR (2023)
Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens
Distributional Pareto-Optimal Multi-Objective Reinforcement Learning. NeurIPS (2023)
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. ICLR (2023)
Xianfeng Jiao, Zizhong Li, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian
Microstructure-Empowered Stock Factor Extraction and Utilization. CoRR (2023)
Chenpeng Du, Qi Chen, Tianyu He, Xu Tan, Xie Chen, Kai Yu, Sheng Zhao, Jiang Bian
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder. ACM Multimedia (2023)
Yuanying Cai, Chuheng Zhang, Hanye Zhao, Li Zhao, Jiang Bian
Curriculum Offline Reinforcement Learning. AAMAS (2023)
Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining. CoRR (2023)
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series. CoRR (2023)
Kai Shen, Junliang Guo, Xu Tan, Siliang Tang, Rui Wang, Jiang Bian
A Study on ReLU and Softmax in Transformer. CoRR (2023)
Lewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian
Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection. KDD (2023)
Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian
Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle. CoRR (2023)
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
UADB: Unsupervised Anomaly Detection Booster. CoRR (2023)
Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian
Robust Situational Reinforcement Learning in Face of Context Disturbances. ICML (2023)
Chenpeng Du, Qi Chen, Tianyu He, Xu Tan, Xie Chen, Kai Yu, Sheng Zhao, Jiang Bian
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder. CoRR (2023)
Shufang Xie, Huishuai Zhang, Junliang Guo, Xu Tan, Jiang Bian, Hany Hassan Awadalla, Arul Menezes, Tao Qin, Rui Yan
ResiDual: Transformer with Dual Residual Connections. CoRR (2023)
Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models. EMNLP (Demos) (2023)
Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models. CoRR (2023)
Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers. CoRR (2023)
Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing. AAAI (2023)
Wenlei Shi, Xinquan Huang, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data. CoRR (2022)
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. ICLR (2022)
Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. ICDM (2022)
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. AAAI (2022)
Lin Huang, Qiyuan Dong, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
: Adaptive Focus Framework for Aerial Imagery Segmentation. CoRR (2022)
Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. CoRR (2022)
Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. WWW (2022)
Yuandong Ding, Mingxiao Feng, Guozi Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Houqiang Li, Yan Jin, Jiang Bian
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management. CoRR (2022)
Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures. CoRR (2022)
Yukun Zheng, Jiang Bian, Guanghao Meng, Chao Zhang, Honggang Wang, Zhixuan Zhang, Sen Li, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng
Multi-Objective Personalized Product Retrieval in Taobao Search. CoRR (2022)
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. CoRR (2022)
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. IJCAI (2022)
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. CoRR (2022)
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
Learning Differential Operators for Interpretable Time Series Modeling. KDD (2022)
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. CoRR (2022)
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. CoRR (2022)
Xiaozhuang Song, Shun Zheng, Wei Cao, James J. Q. Yu, Jiang Bian
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations. NeurIPS (2022)
Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
Learning Physics-Informed Neural Networks without Stacked Back-propagation. CoRR (2022)
Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
Instance-wise Graph-based Framework for Multivariate Time Series Forecasting. CoRR (2021)
Wentao Xu, Weiqing Liu, Lewen Wang, Yingce Xia, Jiang Bian, Jian Yin, Tie-Yan Liu
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information. CoRR (2021)
Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
Universal Trading for Order Execution with Oracle Policy Distillation. AAAI (2021)
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport. KDD (2021)
Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang
IMBENS: Ensemble Class-imbalanced Learning in Python. CoRR (2021)
Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
Demonstration actor critic. Neurocomputing 434 (2021)
Wentao Xu, Yingce Xia, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
SHGNN: Structure-Aware Heterogeneous Graph Neural Network. CoRR (2021)
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian
Model complexity of deep learning: a survey. Knowl. Inf. Syst. 63 (10) (2021)
Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
REST: Relational Event-driven Stock Trend Forecasting. CoRR (2021)
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
Revisiting the Evaluation of End-to-end Event Extraction. ACL/IJCNLP (Findings) (2021)
Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu
Independence-aware Advantage Estimation. IJCAI (2021)
Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations. AAMAS (2021)
Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu
MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks. IJCAI (2021)
Wentao Xu, Zhiping Luo, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
KGE-CL: Contrastive Learning of Knowledge Graph Embeddings. CoRR (2021)
Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
REST: Relational Event-driven Stock Trend Forecasting. WWW (2021)
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian
Model Complexity of Deep Learning: A Survey. CoRR (2021)
Kingsley Nweye, Zoltán Nagy, Sharada Mohanty, Dipam Chakraborty, Siva Sankaranarayanan, Tianzhen Hong, Sourav Dey, Gregor Henze, Ján Drgona, Fangquan Lin, Wei Jiang, Hanwei Zhang, Zhongkai Yi, Jihai Zhang, Cheng Yang, Matthew Motoki, Sorapong Khongnawang, Michael Ibrahim, Abilmansur Zhumabekov, Daniel May, Zhihu Yang, Xiaozhuang Song, Han Zhang, Xiaoning Dong, Shun Zheng, Jiang Bian
The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) (2021)
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation. CoRR (2021)
Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li
Learning to Reweight with Deep Interactions. AAAI (2021)
Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian, Tie-Yan Liu
HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting. CIKM (2021)
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport. CoRR (2021)
Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
Universal Trading for Order Execution with Oracle Policy Distillation. CoRR (2021)
Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM (2021)
Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. CoRR (2021)
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
Deep risk model: a deep learning solution for mining latent risk factors to improve covariance matrix estimation. ICAIF (2021)
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
Invertible Image Rescaling. CoRR (2020)
Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu
MC-BERT: Efficient Language Pre-Training via a Meta Controller. CoRR (2020)
Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu
Learn to Use Future Information in Simultaneous Translation. CoRR (2020)
Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian
ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting. CoRR (2020)
Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei
Measuring Model Complexity of Neural Networks with Curve Activation Functions. KDD (2020)
Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu
Light Multi-Segment Activation for Model Compression. AAAI (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jiang Bian