Jiang Bian
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
175
Venues
38
Active years
2007–2026
Best venue rank
A*
Where they publish
- A*KDD22 papers
- NationalAMIA22 papers
- A*AAAI20 papers
- A*ICLR15 papers
- A*ICML13 papers
- ACIKM10 papers
- A*WWW9 papers
- A*ACL8 papers
- A*IJCAI8 papers
- BCOLING4 papers
- A*EMNLP4 papers
- AWSDM4 papers
- BSMC4 papers
- A*ICDM3 papers
- A*CVPR2 papers
- ANAACL2 papers
- A*ECCV2 papers
- A*ICDE2 papers
- A*SIGIR2 papers
- BAIME1 paper
- BIJCNLP1 paper
- AMICCAI1 paper
- CTIME1 paper
- CADMA1 paper
- AAISTATS1 paper
- BDSAA1 paper
- A*ICCV1 paper
- BTrustCom1 paper
- CACML1 paper
- A*ICRA1 paper
- ARTSS1 paper
- AIROS1 paper
- NationalFlAIRS1 paper
- BBigData1 paper
- CSecureComm1 paper
- AUAI1 paper
- CWEBIST1 paper
- NationalIRI1 paper
Papers
175 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Controllable Financial Market Generation with Diffusion Guided Meta Agent. | Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian |
| 2026 | ACL | SOAR: Supervision from Observation for Agentic Reinforcement Learning. | Meng Li, Lei Li, Xiting Wang, Yi Yuan, Zheng Wei, Jiang Bian, Zang Li |
| 2026 | ACL | Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback. | Yiyuan Yang, Zichuan Liu, Lei Song, Kai Ying, Stephen Wang, Joshua Thomas Bamford, Svitlana Vyetrenko, Jiang Bian, Qingsong Wen |
| 2026 | ACL | Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search. | Yifei Zhang, Xu Yang, Xiao Yang, Bowen Xian, Qizheng Li, Shikai Fang, Jingyuan Li, Jian Wang, Minrui Xu, Yuge Zhang, Weiqing Liu, Jiang Bian |
| 2025 | AAAI | TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts. | Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian |
| 2025 | AAAI | Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities. | Chengkun Sun, Jinqian Pan, Zhuoli Jin, Russell Stevens Terry, Jiang Bian, Jie Xu |
| 2025 | AAAI | BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models. | Chengkun Sun, Jinqian Pan, Russell Stevens Terry, Jiang Bian, Jie Xu |
| 2025 | AAAI | InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation. | Yuchi Wang, Junliang Guo, Jianhong Bai, Runyi Yu, Tianyu He, Xu Tan, Xu Sun, Jiang Bian |
| 2025 | AAAI | XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. | Tingsong Xiao, Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang, Zibo Liu, Shigang Chen, My T. Thai, Jiang Bian, Parisa Rashidi, Zhe Jiang |
| 2025 | ACL | OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval. | Wei Yang, Jingjing Fu, Rui Wang, Jinyu Wang, Lei Song, Jiang Bian |
| 2025 | ACL | Learning to Select In-Context Demonstration Preferred by Large Language Model. | Zheng Zhang, Shaocheng Lan, Lei Song, Jiang Bian, Yexin Li, Kan Ren |
| 2025 | AIME | Comparative Evaluation of Clinical Large Language Models and Machine Learning to Predict Antimicrobial Resistance in Hospital-Onset Sepsis. | Scott A. Cohen, Ziyi Chen, Jiang Bian, Christina Boucher, Yonghui Wu, Mattia Prosperi |
| 2025 | CVPR | From Elements to Design: A Layered Approach for Automatic Graphic Design Composition. | Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian |
| 2025 | CVPR | VidTwin: Video VAE with Decoupled Structure and Dynamics. | Yuchi Wang, Junliang Guo, Xinyi Xie, Tianyu He, Xu Sun, Jiang Bian |
| 2025 | ICLR | MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. | Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian |
| 2025 | ICLR | Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning. | Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian |
| 2025 | ICLR | MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation. | Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio |
| 2025 | ICLR | FlashMask: Efficient and Rich Mask Extension of FlashAttention. | Guoxia Wang, Jinle Zeng, Xiyuan Xiao, Siming Wu, Jiabin Yang, Lujing Zheng, Zeyu Chen, Jiang Bian, Dianhai Yu, Haifeng Wang |
| 2025 | ICLR | Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators. | Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian |
| 2025 | ICLR | FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models. | Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian |
| 2025 | ICML | DPO Meets PPO: Reinforced Token Optimization for RLHF. | Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang |
| 2025 | ICML | BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling. | Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian |
| 2025 | ICML | AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence. | Yuliang Liu, Junjie Lu, Chaofeng Qu, Zhaoling Chen, Zefan Cai, Jason Klein Liu, Chonghan Liu, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin |
| 2025 | ICML | From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning. | Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian |
| 2025 | ICML | Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models. | Ruiyu Wang, Yu Yuan, Shizhao Sun, Jiang Bian |
| 2025 | ICML | CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing. | Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian |
| 2025 | ICML | Policy Filtration for RLHF to Mitigate Noise in Reward Models. | Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian |
| 2025 | ICML | Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning. | Wenhao Zhao, Qiushui Xu, Linjie Xu, Lei Song, Jinyu Wang, Chunlai Zhou, Jiang Bian |
| 2025 | IJCAI | GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework. | Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan |
| 2025 | IJCNLP | Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data Generation. | Zijian Li, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Rui Wang |
| 2025 | KDD | IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting. | Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Kun Yi, Qi Zhang, Jiang Bian, Yanjie Fu |
| 2025 | KDD | TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation. | Bowen Deng, Chang Xu, Hao Li, Yu-Hao Huang, Min Hou, Jiang Bian |
| 2025 | KDD | InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models. | Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian |
| 2025 | KDD | RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. | Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin |
| 2025 | MICCAI | Improving Medical Visual Instruction Tuning with Labeled Datasets. | Amin Dada, Amanda Butler Contreras, Constantin Seibold, Osman Alperen Koras, Julius Keyl, Aokun Chen, Cheng Peng, Alexander Brehmer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jens Kleesiek |
| 2025 | NAACL | Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models. | Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang |
| 2025 | TIME | Temporal Ensemble Logic for Integrative Representation of the Entirety of Clinical Trials. | Xiaojin Li, Yan Huang, Rashmie Abeysinghe, Zenan Sun, Hongyu Chen, Pengze Li, Xing He, Shiqiang Tao, Cui Tao, Jiang Bian, Licong Cui, Guo-Qiang Zhang |
| 2024 | AAAI | Regeneration Learning: A Learning Paradigm for Data Generation. | Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio |
| 2024 | ACL | Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. | Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim |
| 2024 | ACL | Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training. | Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang |
| 2024 | ADMA | An Analyses of the Impact of Climatic and Environmental Conditions on COVID-19 Prevalence in Epidemic Areas in Australia, South Korea, and Italy. | Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jun Shen, Jiang Bian |
| 2024 | CIKM | A Multi-Node Multi-GPU Distributed GNN Training Framework for Large-Scale Online Advertising. | Xuewu Jiao, Xinsheng Luo, Miao Li, Jiang Bian, Junchao Yang, Wei Hu, Mingqing Hu, Weipeng Lu, Shikun Feng, Danlei Feng, Dongxu Yang, Haoyi Xiong, Shuanglong Li, Lin Liu |
| 2024 | COLING | Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. | Ahmad Idrissi-Yaghir, Amin Dada, Henning Schfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jrg Schltterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich |
| 2024 | ECCV | End-to-End Rate-Distortion Optimized 3D Gaussian Representation. | Henan Wang, Hanxin Zhu, Tianyu He, Runsen Feng, Jiajun Deng, Jiang Bian, Zhibo Chen |
| 2024 | ICLR | MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. | Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian |
| 2024 | ICLR | Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers. | Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang |
| 2024 | ICLR | GAIA: Zero-shot Talking Avatar Generation. | 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 |
| 2024 | ICLR | PromptTTS 2: Describing and Generating Voices with Text Prompt. | Yichong Leng, Zhifang Guo, Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiangyang Li, Sheng Zhao, Tao Qin, Jiang Bian |
| 2024 | ICLR | NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers. | Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian |
| 2024 | ICLR | BatteryML: An Open-source Platform for Machine Learning on Battery Degradation. | Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian |
| 2024 | ICLR | Whittle Index with Multiple Actions and State Constraint for Inventory Management. | Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian |
| 2024 | ICML | NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models. | Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao |
| 2024 | ICML | Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems. | Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian |
| 2024 | ICML | UniAudio: Towards Universal Audio Generation with Large Language Models. | Dongchao Yang, Jinchuan Tian, Xu Tan, Rongjie Huang, Songxiang Liu, Haohan Guo, Xuankai Chang, Jiatong Shi, Sheng Zhao, Jiang Bian, Zhou Zhao, Xixin Wu, Helen M. Meng |
| 2024 | IJCAI | GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). | Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin |
| 2024 | IJCAI | Diversification of Adaptive Policy for Effective Offline Reinforcement Learning. | Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim |
| 2024 | KDD | From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models. | Xumeng Wen, Han Zhang, Shun Zheng, Wei Xu, Jiang Bian |
| 2024 | NAACL | Empowering Diffusion Models on the Embedding Space for Text Generation. | Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu |
| 2023 | AAAI | Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. | Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou |
| 2023 | AAAI | Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. | Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian |
| 2023 | AAAI | H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem. | Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian |
| 2023 | AAAI | VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing. | Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian |
| 2023 | AISTATS | Learning Physics-Informed Neural Networks without Stacked Back-propagation. | Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu |
| 2023 | DSAA | GS | Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin |
| 2023 | EMNLP | On the Impact of Cross-Domain Data on German Language Models. | Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu |
| 2023 | EMNLP | MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models. | Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian |
| 2023 | ICCV | HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details. | Zenghao Chai, Tianke Zhang, Tianyu He, Xu Tan, Tadas Baltrusaitis, HsiangTao Wu, Runnan Li, Sheng Zhao, Chun Yuan, Jiang Bian |
| 2023 | ICDE | UADB: Unsupervised Anomaly Detection Booster. | Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian |
| 2023 | ICLR | Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. | Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian |
| 2023 | ICML | Robust Situational Reinforcement Learning in Face of Context Disturbances. | Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian |
| 2023 | KDD | Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. | Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu |
| 2023 | KDD | PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. | Xuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu |
| 2023 | KDD | Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection. | Lewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian |
| 2023 | KDD | Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. | Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner |
| 2023 | KDD | Web-based Long-term Spine Treatment Outcome Forecasting. | Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu |
| 2023 | KDD | Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series. | Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li |
| 2022 | AAAI | DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. | Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian |
| 2022 | AMIA | Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials. | Aokun Chen, Qian Li, Xing He, Michael Jaffee, William R. Hogan, Fei Wang, Yi Guo, Jiang Bian |
| 2022 | AMIA | DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation. | Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia Prosperi |
| 2022 | AMIA | Ontologies in the Behavioral Sciences: Accelerating Research and the Accessibility and Use of Knowledge. | Mark A. Musen, Jiang Bian, Bruce Chorpita, Vimla L. Patel, Cui Tao |
| 2022 | CIKM | A Graph-based Spatiotemporal Model for Energy Markets. | Swati Sharma, Srinivasan Iyengar, Shun Zheng, Kshitij Kapoor, Wei Cao, Jiang Bian, Shivkumar Kalyanaraman, John Lemmon |
| 2022 | COLING | KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings. | Zhiping Luo, Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu |
| 2022 | ICDM | TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. | Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu |
| 2022 | ICLR | DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. | Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu |
| 2022 | IJCAI | Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. | Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li |
| 2022 | KDD | Learning Differential Operators for Interpretable Time Series Modeling. | Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian |
| 2022 | KDD | Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. | Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner |
| 2022 | WWW | Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. | Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian |
| 2021 | AAAI | Universal Trading for Order Execution with Oracle Policy Distillation. | Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu |
| 2021 | AAAI | Learning to Reweight with Deep Interactions. | Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li |
| 2021 | ACL | Revisiting the Evaluation of End-to-end Event Extraction. | Shun Zheng, Wei Cao, Wei Xu, Jiang Bian |
| 2021 | AMIA | Validation of Real-World Data-based Endpoint Measures of Cancer Treatment Outcomes. | Qian Li, Hansi Zhang, Zhaoyi Chen, Yi Guo, Thomas J. George, Yong Chen, Fei Wang, Jiang Bian |
| 2021 | AMIA | A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. | Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu |
| 2021 | AMIA | Developing an Ontology for Social and Behavioral Determinants of Health. | Hansi Zhang, Xi Yang, Thomas J. George, William R. Hogan, Jiang Bian, Yonghui Wu |
| 2021 | AMIA | Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets. | Yunpeng Zhao, Pengfei Yin, Yongqiu Li, Xing He, Jingcheng Du, Cui Tao, Yi Guo, Mattia Prosperi, Pierangelo Veltri, Xi Yang, Yonghui Wu, Jiang Bian |
| 2021 | CIKM | Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. | Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu |
| 2021 | CIKM | HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting. | Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian, Tie-Yan Liu |
| 2021 | IJCAI | MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks. | Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu |
| 2021 | IJCAI | Independence-aware Advantage Estimation. | Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu |
| 2021 | KDD | Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport. | Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian |
| 2021 | KDD | Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. | Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang |
| 2021 | KDD | KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health. | Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner |
| 2021 | WWW | REST: Relational Event-driven Stock Trend Forecasting. | Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu |
| 2021 | TrustCom | ReLF: Scalable Remote Live Forensics for Android. | Ruipeng Zhang, Mengjun Xie, Jiang Bian |
| 2020 | AAAI | Light Multi-Segment Activation for Model Compression. | Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu |
| 2020 | AMIA | Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups. | Yi Guo, Xing He, Tianchen Lyu, Hansi Zhang, Yonghui Wu, Xi Yang, Zhaoyi Chen, Merry J. Markham, Franois Modave, Mengjun Xie, William R. Hogan, Christopher A. Harle, Elizabeth Shenkman, Jiang Bian |
| 2020 | AMIA | Assessment of Clinical Decision Support (CDS) formats for Supporting Nurses' Palliative Care Planning Decisions. | Hwayoung Cho, Karen Dunn Lopez, Yingwei Yao, Ragnhildur I. Bjarnadottir, Jiang Bian, Diana J. Wilkie, Gail M. Keenan |
| 2020 | AMIA | Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD). | Rui Duan, Zhaoyi Chen, Jiayi Tong, Chongliang Luo, Tianchen Lyu, Cui Tao, Demetrius Maraganore, Jiang Bian, Yong Chen |
| 2020 | AMIA | Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria: a case study on Alzheimer's Disease and Donepezil. | Qian Li, Yi Guo, Zhe He, Hansi Zhang, Thomas J. George, Jiang Bian |
| 2020 | AMIA | Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network. | Jiayi Tong, Zhaoyi Chen, Rui Duan, Wei-Hsuan Lo-Ciganic, Tianchen Lyu, Cui Tao, Peter A. Merkel, Henry R. Kranzler, Jiang Bian, Yong Chen |
| 2020 | ECCV | Invertible Image Rescaling. | Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu |
| 2020 | ICDE | Self-paced Ensemble for Highly Imbalanced Massive Data Classification. | Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu |
| 2020 | KDD | Measuring Model Complexity of Neural Networks with Curve Activation Functions. | Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei |
| 2019 | AAAI | Trust Region Evolution Strategies. | Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu |
| 2019 | AAAI | SpHMC: Spectral Hamiltonian Monte Carlo. | Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan |
| 2019 | ACML | Unified Policy Optimization for Robust Reinforcement Learning. | Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang |
| 2019 | AMIA | Assessing the Validity of a a priori Patient-Trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial Case Study. | Qian Li, Zhe He, Yi Guo, Hansi Zhang, Thomas J. George, William R. Hogan, Neil Charness, Jiang Bian |
| 2019 | AMIA | Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods. | Xi Yang, Yan Gong, Nida Waheed, Keith March, Jiang Bian, William R. Hogan, Yonghui Wu |
| 2019 | EMNLP | Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction. | Shun Zheng, Wei Cao, Wei Xu, Jiang Bian |
| 2019 | ICRA | A Novel Development of Robots with Cooperative Strategy for Long-term and Close-proximity Autonomous Transmission-line Inspection. | Jiang Bian, Xiaolong Hui, Xiaoguang Zhao, Min Tan |
| 2019 | KDD | Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction. | Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing, Tie-Yan Liu |
| 2019 | KDD | DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks. | Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, Tie-Yan Liu |
| 2019 | KDD | Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding. | Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu |
| 2019 | RTSS | Work-in-Progress: A Deep Learning Strategy for I/O Scheduling in Storage Systems. | Ashkan Farhangi, Jiang Bian, Jun Wang, Zhishan Guo |
| 2018 | AAAI | CSWA: Aggregation-Free Spatial-Temporal Community Sensing. | Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das |
| 2018 | AAAI | Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. | Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu |
| 2018 | AMIA | Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition. | Yonghui Wu, Xi Yang, Jiang Bian, Yi Guo, Hua Xu, William R. Hogan |
| 2018 | AMIA | Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials. | Hansi Zhang, Zhe He, Xing He, Yi Guo, David R. Nelson, Franois Modave, Yonghui Wu, William R. Hogan, Mattia Prosperi, Jiang Bian |
| 2018 | IJCAI | De-biasing Covariance-Regularized Discriminant Analysis. | Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo |
| 2018 | IROS | A Novel Monocular-Based Navigation Approach for UAV Autonomous Transmission-Line Inspection. | Jiang Bian, Xiaolong Hui, Xiaoguang Zhao, Min Tan |
| 2018 | KDD | Investor-Imitator: A Framework for Trading Knowledge Extraction. | Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu |
| 2018 | WSDM | Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction. | Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, Tie-Yan Liu |
| 2017 | AMIA | A Visual Analysis Tool of Qualitative Eligibility Criteria of Clinical Studies. | Zhe He, Zhiwei Chen, Sarah Mixon, Jiang Bian |
| 2017 | AMIA | Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus. | Zhe He, Arturo Gonzalez-Izquierdo, Spiros C. Denaxas, Andrei Sura, Yi Guo, William R. Hogan, Elizabeth Shenkman, Jiang Bian |
| 2017 | AMIA | Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network. | Jiang Bian, Andrei Sura, Gloria P. Lipori, Yi Guo, Franois Modave, Zhe He, Elizabeth Shenkman, William R. Hogan |
| 2017 | AMIA | Building an Obesity and Cancer Semantic Web Knowledge Base. | Juan Antonio Lossio-Ventura, William R. Hogan, Franois Modave, Amanda Hicks, Yi Guo, Zhe He, Mirela Vasconcelos, Jiang Bian |
| 2017 | AMIA | A Twitter Study of the Relationship between the Geographic Variations of HPV Vaccination Rates and Online Information in the United States. | Hansi Zhang, Yunpeng Zhao, Christopher Wheldon, Xinsong Du, Terrell Brown, Yi Guo, Stephanie Staras, Jingcheng Du, Cui Tao, Jiang Bian |
| 2017 | ICDM | Multi-party Sparse Discriminant Learning. | Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu |
| 2017 | ICDM | AWDA: An Adaptive Wishart Discriminant Analysis. | Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo |
| 2017 | ICML | Dual Supervised Learning. | Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu |
| 2017 | IJCAI | Dual Inference for Machine Learning. | Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu |
| 2016 | EMNLP | Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding. | Huazheng Wang, Fei Tian, Bin Gao, Chengjieren Zhu, Jiang Bian, Tie-Yan Liu |
| 2016 | FlAIRS | Examining Healthcare Utilization Patterns of Elderly and Middle-Aged Adults in the United States. | Cilia E. Zayas, Zhe He, Jiawei Yuan, Mildred Maldonado-Molina, William R. Hogan, Franois Modave, Yi Guo, Jiang Bian |
| 2015 | AMIA | Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms. | Amanda Hicks, William R. Hogan, Michael W. Rutherford, Bradley A. Malin, Mengjun Xie, Christiane Fellbaum, Zhijun Yin, Daniel Fabbri, Josh Hanna, Jiang Bian |
| 2015 | WSDM | DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining. | Bin Gao, Jiang Bian |
| 2014 | AAAI | Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. | Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu |
| 2014 | BigData | LightGraph: Lighten Communication in Distributed Graph-Parallel Processing. | Yue Zhao, Kenji Yoshigoe, Mengjun Xie, Suijian Zhou, Remzi Seker, Jiang Bian |
| 2014 | CIKM | RC-NET: A General Framework for Incorporating Knowledge into Word Representations. | Chang Xu, Yalong Bai, Jiang Bian, Bin Gao, Gang Wang, Xiaoguang Liu, Tie-Yan Liu |
| 2014 | COLING | Co-learning of Word Representations and Morpheme Representations. | Siyu Qiu, Qing Cui, Jiang Bian, Bin Gao, Tie-Yan Liu |
| 2014 | COLING | A Probabilistic Model for Learning Multi-Prototype Word Embeddings. | Fei Tian, Hanjun Dai, Jiang Bian, Bin Gao, Rui Zhang, Enhong Chen, Tie-Yan Liu |
| 2014 | WSDM | Sampling dilemma: towards effective data sampling for click prediction in sponsored search. | Jun Feng, Jiang Bian, Taifeng Wang, Wei Chen, Xiaoyan Zhu, Tie-Yan Liu |
| 2013 | KDD | Psychological advertising: exploring user psychology for click prediction in sponsored search. | Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, Tie-Yan Liu |
| 2013 | SMC | Bayesian Matrix Factorization for Face Recognition. | Jiang Bian, Xinbo Gao, Xiumei Wang |
| 2013 | WWW | An effective general framework for localized content optimization. | Yoshiyuki Inagaki, Jiang Bian, Yi Chang |
| 2013 | SecureComm | CamTalk: A Bidirectional Light Communications Framework for Secure Communications on Smartphones. | Mengjun Xie, Liang Hao, Kenji Yoshigoe, Jiang Bian |
| 2012 | CIKM | Towards large-scale twitter mining for drug-related adverse events. | Jiang Bian, Umit Topaloglu, Fan Yu |
| 2012 | CIKM | Enhancing product search by best-selling prediction in e-commerce. | Bo Long, Jiang Bian, Anlei Dong, Yi Chang |
| 2012 | WWW | Optimizing user exploring experience in emerging e-commerce products. | Xiubo Geng, Xin Fan, Jiang Bian, Xin Li, Zhaohui Zheng |
| 2012 | WWW | Model news relatedness through user comments. | Xuanhui Wang, Jiang Bian, Yi Chang, Belle L. Tseng |
| 2011 | CIKM | A taxonomy of local search: semi-supervised query classification driven by information needs. | Jiang Bian, Yi Chang |
| 2011 | CIKM | User action interpretation for personalized content optimization in recommender systems. | Anlei Dong, Jiang Bian, Xiaofeng He, Srihari Reddy, Yi Chang |
| 2011 | SMC | A methodology for empirical analysis of brain connectivity through graph mining. | Jiang Bian, Josh M. Cisler, Mengjun Xie, George Andrew James, Remzi Seker, Clinton D. Kilts |
| 2011 | SIGIR | Enhancing mobile search using web search log data. | Yoshiyuki Inagaki, Jiang Bian, Yi Chang, Motoko Maki |
| 2010 | CIKM | Optimizing unified loss for web ranking specialization. | Fan Li, Xin Li, Jiang Bian, Zhaohui Zheng |
| 2010 | WWW | Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM. | Jiang Bian, Xin Li, Fan Li, Zhaohui Zheng, Hongyuan Zha |
| 2010 | UAI | Hybrid Generative/Discriminative Learning for Automatic Image Annotation. | Shuang-Hong Yang, Jiang Bian, Hongyuan Zha |
| 2010 | WSDM | Ranking with query-dependent loss for web search. | Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha |
| 2009 | SMC | JigDFS for Implementing Secure Container Communities. | Jiang Bian, Remzi Seker, Srini Ramaswamy |
| 2009 | SMC | Design of a Lattice-based Access Control Scheme. | Chia-Chu Chiang, Coskun Bayrak, Remzi Seker, Umit Topaloglu, Rustu Murat Demirer, Nasrola Samadi, Suleyman Tek, Jiang Bian, GuangXu Zhou, Xiaoran Wang |
| 2009 | WWW | Learning to recognize reliable users and content in social media with coupled mutual reinforcement. | Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichtein, Hongyuan Zha |
| 2008 | WWW | Finding the right facts in the crowd: factoid question answering over social media. | Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyuan Zha |
| 2008 | WWW | Exploring social annotations for information retrieval. | Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, C. Lee Giles |
| 2008 | SIGIR | Predicting information seeker satisfaction in community question answering. | Yandong Liu, Jiang Bian, Eugene Agichtein |
| 2008 | WEBIST | Off-the-Record Secure Chat Room. | Jiang Bian, Remzi Seker, Umit Topaloglu, Coskun Bayrak |
| 2007 | IRI | Off-the-Record Instant Messaging for Group Conversation. | Jiang Bian, Remzi Seker, Umit Topaloglu |