Jiang Bian

341 papers A* 88A 18B 3C 2Journal 205Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
3DMedAgent: Unified Perception-to-Understanding for 3D Medical Analysis.
CoRR
Ziyue Wang, Linghan Cai, Chang Han Low, Haofeng Liu, Junde Wu, Jingyu Wang, Rui Wang, Lei Song, Jiang Bian, Jingjing Fu, Yueming Jin
2026 J jnl
Beyond Pixel Histories: World Models with Persistent 3D State.
CoRR
Samuel Garcin, Thomas Walker, Steven McDonagh, Tim Pearce, Hakan Bilen, Tianyu He, Kaixin Wang, Jiang Bian
2026 J jnl
Can Vision Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective.
CoRR
Arctanx An, Shizhao Sun, Danqing Huang, Mingxi Cheng, Yan Gao, Ji Li, Yu Qiao, Jiang Bian
2026 A* conf
Controllable Financial Market Generation with Diffusion Guided Meta Agent.
AAAI
Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian
2026 J jnl
DesignAsCode: Bridging Structural Editability and Visual Fidelity in Graphic Design Generation.
CoRR
Ziyuan Liu, Shizhao Sun, Danqing Huang, Yingdong Shi, Meisheng Zhang, Ji Li, Jingsong Yu, Jiang Bian
2026 J jnl
EvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary Learning.
CoRR
Yufei He, Juncheng Liu, Zhiyuan Hu, Yulin Chen, Yue Liu, Yuan Sui, Yibo Li, Nuo Chen, Jun Hu, Bryan Hooi, Xinxing Xu, Jiang Bian
2026 J jnl
MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction.
CoRR
Zizheng Zhang, Yiming Li, Justin Xu, Jinyu Wang, Rui Wang, Lei Song, Jiang Bian, David W. Eyre, Jingjing Fu
2026 J jnl
RC-GRPO: Reward-Conditioned Group Relative Policy Optimization for Multi-Turn Tool Calling Agents.
CoRR
Haitian Zhong, Jixiu Zhai, Lei Song, Jiang Bian, Qiang Liu, Tieniu Tan
2026 J jnl
ReLayout: Versatile and Structure-Preserving Design Layout Editing via Relation-Aware Design Reconstruction.
CoRR
Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian
2026 J jnl
Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search.
CoRR
Yifei Zhang, Xu Yang, Xiao Yang, Bowen Xian, Qizheng Li, Shikai Fang, Jingyuan Li, Jian Wang, Mingrui Xu, Weiqing Liu, Jiang Bian
2026 J jnl
Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition.
CoRR
Dongyuan Li, Shun Zheng, Chang Xu, Jiang Bian, Renhe Jiang
2026 J jnl
Self-Hinting Language Models Enhance Reinforcement Learning.
CoRR
Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian
2026 J jnl
Thinking with Blueprints: Assisting Vision-Language Models in Spatial Reasoning via Structured Object Representation.
CoRR
Weijian Ma, Shizhao Sun, Tianyu Yu, Ruiyu Wang, Tat-Seng Chua, Jiang Bian
2025 J jnl
AR4D: Autoregressive 4D Generation from Monocular Videos.
CoRR
Hanxin Zhu, Tianyu He, Xiqian Yu, Junliang Guo, Zhibo Chen, Jiang Bian
2025 J jnl
AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations.
CoRR
Shuhan Ding, Jingjing Fu, Yu Gu, Naiteek Sangani, Mu Wei, Paul Vozila, Nan Liu, Jiang Bian, Hoifung Poon
2025 A* conf
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence.
ICML
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 J jnl
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence.
CoRR
Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin
2025 J jnl
Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains.
CoRR
Jiawen Zhang, Zhenwei Zhang, Shun Zheng, Xumeng Wen, Jia Li, Jiang Bian
2025 A* conf
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling.
ICML
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
2025 J jnl
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling.
CoRR
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
2025 J jnl
Battery lifetime prediction across diverse ageing conditions with inter-cell deep learning.
Nat. Mac. Intell.
Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian
2025 J jnl
Beyond Human Demonstrations: Diffusion-Based Reinforcement Learning to Generate Data for VLA Training.
CoRR
Rushuai Yang, Hangxing Wei, Ran Zhang, Zhiyuan Feng, Xiaoyu Chen, Tong Li, Chuheng Zhang, Li Zhao, Jiang Bian, Xiu Su, Yi Chen
2025 A* conf
CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing.
ICML
Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
2025 J jnl
CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing.
CoRR
Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
2025 J jnl
CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenization.
CoRR
Ruiyu Wang, Shizhao Sun, Weijian Ma, Jiang Bian
2025 J jnl
CADMorph: Geometry-Driven Parametric CAD Editing via a Plan-Generate-Verify Loop.
CoRR
Weijian Ma, Shizhao Sun, Ruiyu Wang, Jiang Bian
2025 J jnl
Causal Time Series Generation via Diffusion Models.
CoRR
Yutong Xia, Chang Xu, Yuxuan Liang, Qingsong Wen, Roger Zimmermann, Jiang Bian
2025 — conf
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data Generation.
IJCNLP-AACL (long papers)
Zijian Li, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Rui Wang
2025 J jnl
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data.
CoRR
Zijian Li, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Rui Wang
2025 J jnl
Chemistry-aware battery degradation prediction under simulated real-world cyclic protocols.
CoRR
Yuqi Li, Han Zhang, Xiaofan Gui, Zhao Chen, Yu Li, Xiwen Chi, Quan Zhou, Shun Zheng, Ziheng Lu, Wei Xu, Jiang Bian, Liquan Chen, Hong Li
2025 J jnl
Co-Evolving Latent Action World Models.
CoRR
Yucen Wang, Fengming Zhang, De-Chuan Zhan, Li Zhao, Kaixin Wang, Jiang Bian
2025 A* conf
DPO Meets PPO: Reinforced Token Optimization for RLHF.
ICML
Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang
2025 J jnl
Deep Self-Evolving Reasoning.
CoRR
Zihan Liu, Shun Zheng, Xumeng Wen, Yang Wang, Jiang Bian, Mao Yang
2025 J jnl
Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated Trajectories.
CoRR
Rushuai Yang, Zhiyuan Feng, Tianxiang Zhang, Kaixin Wang, Chuheng Zhang, Li Zhao, Xiu Su, Yi Chen, Jiang Bian
2025 J jnl
Dyn-O: Building Structured World Models with Object-Centric Representations.
CoRR
Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
2025 A* conf
Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning.
ICLR
Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian
2025 J jnl
Fast Autoregressive Video Generation with Diagonal Decoding.
CoRR
Yang Ye, Junliang Guo, Haoyu Wu, Tianyu He, Tim Pearce, Tabish Rashid, Katja Hofmann, Jiang Bian
2025 A* conf
FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models.
ICLR
Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian
2025 A* conf
From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning.
ICML
Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian
2025 A* conf
From Elements to Design: A Layered Approach for Automatic Graphic Design Composition.
CVPR
Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian
2025 A* conf
GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework.
IJCAI
Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan
2025 J jnl
Generalized Temporal Tensor Decomposition with Rank-revealing Latent-ODE.
CoRR
Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang
2025 J jnl
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations.
CoRR
Panqi Chen, Yifan Sun, Lei Cheng, Yang Yang, Weichang Li, Yang Liu, Weiqing Liu, Jiang Bian, Shikai Fang
2025 J jnl
Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling.
CoRR
Haoyu Wu, Diankun Wu, Tianyu He, Junliang Guo, Yang Ye, Yueqi Duan, Jiang Bian
2025 — conf
Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models.
NAACL (Long Papers)
Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang
2025 J jnl
How Do VLAs Effectively Inherit from VLMs?
CoRR
Chuheng Zhang, Rushuai Yang, Xiaoyu Chen, Kaixin Wang, Li Zhao, Yi Chen, Jiang Bian
2025 — conf
IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting.
KDD (1)
Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Kun Yi, Qi Zhang, Jiang Bian, Yanjie Fu
2025 J jnl
In-Context Compositional Q-Learning for Offline Reinforcement Learning.
CoRR
Qiushui Xu, Yuhao Huang, Yushu Jiang, Lei Song, Jinyu Wang, Wenliang Zheng, Jiang Bian
2025 A* conf
InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation.
AAAI
Yuchi Wang, Junliang Guo, Jianhong Bai, Runyi Yu, Tianyu He, Xu Tan, Xu Sun, Jiang Bian
2025 — conf
InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models.
KDD (1)
Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian
2025 J jnl
Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning.
Trans. Mach. Learn. Res.
Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian
2025 J jnl
Less Is More: Generating Time Series with LLaMA-Style Autoregression in Simple Factorized Latent Spaces.
CoRR
Siyuan Li, Yifan Sun, Lei Cheng, Lewen Wang, Yang Liu, Weiqing Liu, Jianlong Li, Jiang Bian, Shikai Fang
2025 A* conf
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation.
ICLR
Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio
2025 J jnl
MIRA: Medical Time Series Foundation Model for Real-World Health Data.
CoRR
Hao Li, Bowen Deng, Chang Xu, Zhiyuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian
2025 A* conf
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model.
ICLR
Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian
2025 J jnl
MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft.
CoRR
Junliang Guo, Yang Ye, Tianyu He, Haoyu Wu, Yushu Jiang, Tim Pearce, Jiang Bian
2025 — conf
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval.
ACL (1)
Wei Yang, Jingjing Fu, Rui Wang, Jinyu Wang, Lei Song, Jiang Bian
2025 J jnl
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval.
CoRR
Wei Yang, Jingjing Fu, Rui Wang, Jinyu Wang, Lei Song, Jiang Bian
2025 J jnl
PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models.
CoRR
Jiansong Wan, Chengming Zhou, Jinkua Liu, Xiangge Huang, Xiaoyu Chen, Xiaohan Yi, Qisen Yang, Baiting Zhu, Xin-Qiang Cai, Lixing Liu, Rushuai Yang, Chuheng Zhang, Sherif Abdelfattah, Hayong Shin, Pushi Zhang, Li Zhao, Jiang Bian
2025 J jnl
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation.
CoRR
Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian
2025 J jnl
PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images.
CoRR
Shuoshuo Zhang, Zijian Li, Yizhen Zhang, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Yujiu Yang, Rui Wang
2025 J jnl
Playing with Transformer at 30+ FPS via Next-Frame Diffusion.
CoRR
Xinle Cheng, Tianyu He, Jiayi Xu, Junliang Guo, Di He, Jiang Bian
2025 A* conf
Policy Filtration for RLHF to Mitigate Noise in Reward Models.
ICML
Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian
2025 J jnl
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization.
CoRR
Yuante Li, Xu Yang, Xiao Yang, Minrui Xu, Xisen Wang, Weiqing Liu, Jiang Bian
2025 J jnl
R&D-Agent: Automating Data-Driven AI Solution Building Through LLM-Powered Automated Research, Development, and Evolution.
CoRR
Xu Yang, Xiao Yang, Shikai Fang, Bowen Xian, Yuante Li, Jian Wang, Minrui Xu, Haoran Pan, Xinpeng Hong, Weiqing Liu, Yelong Shen, Weizhu Chen, Jiang Bian
2025 J jnl
Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training.
CoRR
Wei Xiong, Chenlu Ye, Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian, Nan Jiang, Tong Zhang
2025 J jnl
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs.
CoRR
Xumeng Wen, Zihan Liu, Shun Zheng, Zhijian Xu, Shengyu Ye, Zhirong Wu, Xiao Liang, Yang Wang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang
2025 J jnl
Rethinking Reward Models for Multi-Domain Test-Time Scaling.
CoRR
Dong Bok Lee, Seanie Lee, Sangwoo Park, Minki Kang, Jinheon Baek, Dongki Kim, Dominik Wagner, Jiongdao Jin, Heejun Lee, Tobias Bocklet, Jinyu Wang, Jingjing Fu, Sung Ju Hwang, Jiang Bian, Lei Song
2025 J jnl
SIT-Graph: State Integrated Tool Graph for Multi-Turn Agents.
CoRR
Sijia Li, Yuchen Huang, Zifan Liu, Zijian Li, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Rui Wang
2025 J jnl
Sample-efficient LLM Optimization with Reset Replay.
CoRR
Zichuan Liu, Jinyu Wang, Lei Song, Jiang Bian
2025 J jnl
Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models.
CoRR
Xumeng Wen, Shun Zheng, Zhen Xu, Yiming Sun, Jiang Bian
2025 J jnl
See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning.
CoRR
Shuoshuo Zhang, Yizhen Zhang, Jingjing Fu, Lei Song, Jiang Bian, Yujiu Yang, Rui Wang
2025 — conf
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation.
KDD (2)
Bowen Deng, Chang Xu, Hao Li, Yu-Hao Huang, Min Hou, Jiang Bian
2025 J jnl
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation.
CoRR
Bowen Deng, Chang Xu, Hao Li, Yuhao Huang, Min Hou, Jiang Bian
2025 A* conf
Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models.
ICML
Ruiyu Wang, Yu Yuan, Shizhao Sun, Jiang Bian
2025 J jnl
Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models.
CoRR
Ruiyu Wang, Yu Yuan, Shizhao Sun, Jiang Bian
2025 J jnl
The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical Benchmarks.
CoRR
Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel C. F. Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, Ho Hin Lee, Praneeth Sanapathi, Sarah Hilado, Jiang Bian, Javier Alvarez-Valle, Mu Wei, Khalil Malik, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Hoifung Poon, Paul Vozila
2025 A* conf
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts.
AAAI
Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian
2025 J jnl
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts.
CoRR
Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian
2025 J jnl
TimeRAF: Retrieval-Augmented Foundation Model for Zero-Shot Time Series Forecasting.
IEEE Trans. Knowl. Data Eng.
Huanyu Zhang, Chang Xu, Yifan Zhang, Zhang Zhang, Liang Wang, Jiang Bian
2025 J jnl
TopoCut: Learning Multi-Step Cutting with Spectral Rewards and Discrete Diffusion Policies.
CoRR
Liquan Wang, Jiang Bian, Eric Heiden, Animesh Garg
2025 A* conf
UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing.
ACM Multimedia
Jianhong Bai, Tianyu He, Yuchi Wang, Junliang Guo, Haoji Hu, Zuozhu Liu, Jiang Bian
2025 A* conf
Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning.
ICML
Wenhao Zhao, Qiushui Xu, Linjie Xu, Lei Song, Jinyu Wang, Chunlai Zhou, Jiang Bian
2025 A* conf
VidTwin: Video VAE with Decoupled Structure and Dynamics.
CVPR
Yuchi Wang, Junliang Guo, Xinyi Xie, Tianyu He, Xu Sun, Jiang Bian
2025 A* conf
Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators.
ICLR
Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
2025 J jnl
What Do Latent Action Models Actually Learn?
CoRR
Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
2025 J jnl
villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models.
CoRR
Xiaoyu Chen, Hangxing Wei, Pushi Zhang, Chuheng Zhang, Kaixin Wang, Yanjiang Guo, Rushuai Yang, Yucen Wang, Xinquan Xiao, Li Zhao, Jianyu Chen, Jiang Bian
2025 J jnl
©Plug-in Authorization for Human Copyright Protection in Text-to-Image Model.
Trans. Mach. Learn. Res.
Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu
2024 J jnl
Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows.
CoRR
Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Jiang Bian, Yanjie Fu
2024 J jnl
AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models.
CoRR
Haoyi Zhang, Shizhao Sun, Yibo Lin, Runsheng Wang, Jiang Bian
2024 A* conf
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning.
NeurIPS
Jianming Pan, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
2024 J jnl
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning.
CoRR
Jianming Pan, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
2024 A* conf
BatteryML: An Open-source Platform for Machine Learning on Battery Degradation.
ICLR
Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
2024 J jnl
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front.
CoRR
Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian
2024 J jnl
Challenges of COVID-19 Case Forecasting in the US, 2020-2021.
PLoS Comput. Biol.
Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson
2024 J jnl
Collaborative Evolving Strategy for Automatic Data-Centric Development.
CoRR
Xu Yang, Haotian Chen, Wenjun Feng, Haoxue Wang, Zeqi Ye, Xinjie Shen, Xiao Yang, Shizhao Sun, Weiqing Liu, Jiang Bian
2024 A* conf
Compositional 3D-aware Video Generation with LLM Director.
NeurIPS
Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian
2024 J jnl
Compositional 3D-aware Video Generation with LLM Director.
CoRR
Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian
2024 A* conf
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers.
ICLR
Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang
2024 J jnl
Controllable Financial Market Generation with Diffusion Guided Meta Agent.
CoRR
Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian
2024 J jnl
DEWP: Deep Expansion Learning for Wind Power Forecasting.
CoRR
Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong
2024 J jnl
DEWP: Deep Expansion Learning for Wind Power Forecasting.
ACM Trans. Knowl. Discov. Data
Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong
2024 J jnl
DPO Meets PPO: Reinforced Token Optimization for RLHF.
CoRR
Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
2024 J jnl
Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction.
IEEE Trans. Knowl. Data Eng.
Yang Liu, Chang Xu, Min Hou, Weiqing Liu, Jiang Bian, Qi Liu, Tie-Yan Liu
2024 A* conf
Diversification of Adaptive Policy for Effective Offline Reinforcement Learning.
IJCAI
Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim
2024 A* conf
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer.
NeurIPS
Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li
2024 J jnl
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer.
CoRR
Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li
2024 — conf
Empowering Diffusion Models on the Embedding Space for Text Generation.
NAACL-HLT
Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu
2024 J jnl
Empowering Large Language Models on Robotic Manipulation with Affordance Prompting.
CoRR
Guangran Cheng, Chuheng Zhang, Wenzhe Cai, Li Zhao, Changyin Sun, Jiang Bian
2024 — conf
End-to-End Rate-Distortion Optimized 3D Gaussian Representation.
ECCV (58)
Henan Wang, Hanxin Zhu, Tianyu He, Runsen Feng, Jiajun Deng, Jiang Bian, Zhibo Chen
2024 J jnl
End-to-End Rate-Distortion Optimized 3D Gaussian Representation.
CoRR
Henan Wang, Hanxin Zhu, Tianyu He, Runsen Feng, Jiajun Deng, Jiang Bian, Zhibo Chen
2024 J jnl
Enhancing Cross-domain Pre-Trained Decision Transformers with Adaptive Attention.
CoRR
Wenhao Zhao, Qiushui Xu, Linjie Xu, Lei Song, Jinyu Wang, Chunlai Zhou, Jiang Bian
2024 J jnl
FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models.
CoRR
Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian
2024 J jnl
From Elements to Design: A Layered Approach for Automatic Graphic Design Composition.
CoRR
Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian
2024 A* conf
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models.
KDD
Xumeng Wen, Han Zhang, Shun Zheng, Wei Xu, Jiang Bian
2024 A* conf
GAIA: Zero-shot Talking Avatar Generation.
ICLR
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 J jnl
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs.
CoRR
Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang
2024 — conf
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL.
ACL (1)
Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim
2024 J jnl
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL.
CoRR
Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim
2024 C conf
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning.
CoG
Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez Liebana, Jinyu Wang, Lei Song, Jiang Bian
2024 J jnl
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning.
CoRR
Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez Liebana, Jinyu Wang, Lei Song, Jiang Bian
2024 J jnl
IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI.
CoRR
Xiaoyu Chen, Junliang Guo, Tianyu He, Chuheng Zhang, Pushi Zhang, Derek Yang, Li Zhao, Jiang Bian
2024 J jnl
InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation.
CoRR
Yuchi Wang, Junliang Guo, Jianhong Bai, Runyi Yu, Tianyu He, Xu Tan, Xu Sun, Jiang Bian
2024 J jnl
InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models.
CoRR
Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian
2024 J jnl
Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning.
CoRR
Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian
2024 J jnl
Large Language Model as a Universal Clinical Multi-task Decoder.
CoRR
Yujiang Wu, Hongjian Song, Jiawen Zhang, Xumeng Wen, Shun Zheng, Jiang Bian
2024 J jnl
LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data.
Neural Networks
Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
2024 J jnl
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation.
CoRR
Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio
2024 A* conf
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process.
ICLR
Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian
2024 J jnl
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process.
CoRR
Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian
2024 J jnl
Make Your Actor Talk: Generalizable and High-Fidelity Lip Sync with Motion and Appearance Disentanglement.
CoRR
Runyi Yu, Tianyu He, Ailing Zhang, Yuchi Wang, Junliang Guo, Xu Tan, Chang Liu, Jie Chen, Jiang Bian
2024 J jnl
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model.
CoRR
Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian
2024 J jnl
Memories are One-to-Many Mapping Alleviators in Talking Face Generation.
IEEE Trans. Pattern Anal. Mach. Intell.
Anni Tang, Tianyu He, Xu Tan, Jun Ling, Runnan Li, Sheng Zhao, Jiang Bian, Li Song
2024 J jnl
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning.
Trans. Mach. Learn. Res.
Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian
2024 — conf
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training.
ACL (Findings)
Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang
2024 J jnl
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training.
CoRR
Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang
2024 A* conf
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers.
ICLR
Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian
2024 A* conf
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.
ICML
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 J jnl
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.
CoRR
Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Yanqing Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiang-Yang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao
2024 J jnl
NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining.
Trans. Mach. Learn. Res.
Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
2024 A* conf
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems.
ICML
Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian
2024 J jnl
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems.
CoRR
Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian
2024 A* conf
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons.
NeurIPS
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
2024 A* conf
PromptTTS 2: Describing and Generating Voices with Text Prompt.
ICLR
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 A* conf
Protecting Your LLMs with Information Bottleneck.
NeurIPS
Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
2024 J jnl
Protecting Your LLMs with Information Bottleneck.
CoRR
Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
2024 J jnl
RD2Bench: Toward Data-Centric Automatic R&D.
CoRR
Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian
2024 A* conf
Regeneration Learning: A Learning Paradigm for Data Generation.
AAAI
Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio
2024 J jnl
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting.
CoRR
Huanyu Zhang, Chang Xu, Yifan Zhang, Zhang Zhang, Liang Wang, Jiang Bian, Tieniu Tan
2024 A* conf
UniAudio: Towards Universal Audio Generation with Large Language Models.
ICML
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 J jnl
UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing.
CoRR
Jianhong Bai, Tianyu He, Yuchi Wang, Junliang Guo, Haoji Hu, Zuozhu Liu, Jiang Bian
2024 J jnl
VidTok: A Versatile and Open-Source Video Tokenizer.
CoRR
Anni Tang, Tianyu He, Junliang Guo, Xinle Cheng, Li Song, Jiang Bian
2024 J jnl
VidTwin: Video VAE with Decoupled Structure and Dynamics.
CoRR
Yuchi Wang, Junliang Guo, Xinyi Xie, Tianyu He, Xu Sun, Jiang Bian
2024 J jnl
Video In-context Learning.
CoRR
Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
2024 A* conf
Whittle Index with Multiple Actions and State Constraint for Inventory Management.
ICLR
Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian
2024 J jnl
\copyright Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model.
CoRR
Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu
2023 J jnl
A Study on ReLU and Softmax in Transformer.
CoRR
Kai Shen, Junliang Guo, Xu Tan, Siliang Tang, Rui Wang, Jiang Bian
2023 J jnl
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management.
CoRR
Xianliang Yang, Zhihao Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Jiang Bian
2023 A* conf
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models.
NeurIPS
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
2023 J jnl
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models.
CoRR
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
2023 J jnl
BatteryML: An Open-source platform for Machine Learning on Battery Degradation.
CoRR
Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
2023 J jnl
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers.
CoRR
Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang
2023 A conf
Curriculum Offline Reinforcement Learning.
AAMAS
Yuanying Cai, Chuheng Zhang, Hanye Zhao, Li Zhao, Jiang Bian
2023 A* conf
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder.
ACM Multimedia
Chenpeng Du, Qi Chen, Tianyu He, Xu Tan, Xie Chen, Kai Yu, Sheng Zhao, Jiang Bian
2023 J jnl
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder.
CoRR
Chenpeng Du, Qi Chen, Tianyu He, Xu Tan, Xie Chen, Kai Yu, Sheng Zhao, Jiang Bian
2023 J jnl
Deliberate then Generate: Enhanced Prompting Framework for Text Generation.
CoRR
Bei Li, Rui Wang, Junliang Guo, Kaitao Song, Xu Tan, Hany Hassan, Arul Menezes, Tong Xiao, Jiang Bian, Jingbo Zhu
2023 A* conf
Distributional Pareto-Optimal Multi-Objective Reinforcement Learning.
NeurIPS
Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens
2023 J jnl
Efficient Behavior-consistent Calibration for Multi-agent Market Simulation.
CoRR
Tianlang He, Keyan Lu, Chang Xu, Yang Liu, Weiqing Liu, S.-H. Gary Chan, Jiang Bian
2023 J jnl
EmoGen: Eliminating Subjective Bias in Emotional Music Generation.
CoRR
Chenfei Kang, Peiling Lu, Botao Yu, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian
2023 A* conf
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping.
ICLR
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
2023 J jnl
GAIA: Zero-shot Talking Avatar Generation.
CoRR
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
2023 J jnl
GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework.
CoRR
Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan
2023 A* conf
H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem.
AAAI
Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian
2023 J jnl
H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem.
CoRR
Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian
2023 A* conf
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details.
ICCV
Zenghao Chai, Tianke Zhang, Tianyu He, Xu Tan, Tadas Baltrusaitis, HsiangTao Wu, Runnan Li, Sheng Zhao, Chun Yuan, Jiang Bian
2023 J jnl
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details.
CoRR
Zenghao Chai, Tianke Zhang, Tianyu He, Xu Tan, Tadas Baltrusaitis, HsiangTao Wu, Runnan Li, Sheng Zhao, Chun Yuan, Jiang Bian
2023 J jnl
Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions.
CoRR
Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian
2023 A* conf
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance.
KDD
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023 J jnl
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance.
CoRR
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023 A conf
Learning Physics-Informed Neural Networks without Stacked Back-propagation.
AISTATS
Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
2023 J jnl
Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle.
CoRR
Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian
2023 J jnl
Microstructure-Empowered Stock Factor Extraction and Utilization.
CoRR
Xianfeng Jiao, Zizhong Li, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian
2023 J jnl
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning.
CoRR
Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian
2023 J jnl
MuseCoco: Generating Symbolic Music from Text.
CoRR
Peiling Lu, Xin Xu, Chenfei Kang, Botao Yu, Chengyi Xing, Xu Tan, Jiang Bian
2023 — conf
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models.
EMNLP (Demos)
Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian
2023 J jnl
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models.
CoRR
Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian
2023 J jnl
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers.
CoRR
Kai Shen, Zeqian Ju, Xu Tan, Yanqing Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian
2023 J jnl
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining.
CoRR
Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
2023 A* conf
On the Generalization Properties of Diffusion Models.
NeurIPS
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
2023 J jnl
On the Generalization Properties of Diffusion Models.
CoRR
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
2023 A* conf
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem.
AAAI
Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
2023 J jnl
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem.
CoRR
Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
2023 J jnl
Pre-Trained Large Language Models for Industrial Control.
CoRR
Lei Song, Chuheng Zhang, Li Zhao, Jiang Bian
2023 J jnl
ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting.
CoRR
Jiawen Zhang, Xumeng Wen, Shun Zheng, Jia Li, Jiang Bian
2023 J jnl
PromptTTS 2: Describing and Generating Voices with Text Prompt.
CoRR
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
2023 J jnl
Regeneration Learning: A Learning Paradigm for Data Generation.
CoRR
Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio
2023 A* conf
Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection.
KDD
Lewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian
2023 J jnl
ResiDual: Transformer with Dual Residual Connections.
CoRR
Shufang Xie, Huishuai Zhang, Junliang Guo, Xu Tan, Jiang Bian, Hany Hassan Awadalla, Arul Menezes, Tao Qin, Rui Yan
2023 A* conf
Robust Situational Reinforcement Learning in Face of Context Disturbances.
ICML
Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian
2023 J jnl
Towards Foundation Models for Learning on Tabular Data.
CoRR
Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian
2023 A* conf
UADB: Unsupervised Anomaly Detection Booster.
ICDE
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
2023 J jnl
UADB: Unsupervised Anomaly Detection Booster.
CoRR
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
2023 J jnl
UniAudio: An Audio Foundation Model Toward Universal Audio Generation.
CoRR
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
2023 A* conf
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing.
AAAI
Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian
2023 A* conf
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series.
KDD
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li
2023 J jnl
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series.
CoRR
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li
2023 A* conf
Web-based Long-term Spine Treatment Outcome Forecasting.
KDD
Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu
2022 A conf
A Graph-based Spatiotemporal Model for Energy Markets.
CIKM
Swati Sharma, Srinivasan Iyengar, Shun Zheng, Kshitij Kapoor, Wei Cao, Jiang Bian, Shivkumar Kalyanaraman, John Lemmon
2022 — conf
A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring.
BIBM
Yuting Xing, Hangting Ye, Xiaoyu Zhang, Wei Cao, Shun Zheng, Jiang Bian, Yike Guo
2022 J jnl
AF
CoRR
Lin Huang, Qiyuan Dong, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
2022 A* conf
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation.
AAAI
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
2022 J jnl
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation.
CoRR
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
2022 A* conf
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting.
ICLR
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
2022 J jnl
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting.
CoRR
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
2022 J jnl
Difformer: Empowering Diffusion Model on Embedding Space for Text Generation.
CoRR
Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu
2022 J jnl
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting.
CoRR
Lin Huang, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
2022 A* conf
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations.
NeurIPS
Xiaozhuang Song, Shun Zheng, Wei Cao, James J. Q. Yu, Jiang Bian
2022 J jnl
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping.
CoRR
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
2022 B conf
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings.
COLING
Zhiping Luo, Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2022 A* conf
Learning Differential Operators for Interpretable Time Series Modeling.
KDD
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
2022 J jnl
Learning Differential Operators for Interpretable Time Series Modeling.
CoRR
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
2022 J jnl
Learning Physics-Informed Neural Networks without Stacked Back-propagation.
CoRR
Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
2022 J jnl
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.
CoRR
Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li
2022 J jnl
LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data.
CoRR
Wenlei Shi, Xinquan Huang, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
2022 J jnl
Memories are One-to-Many Mapping Alleviators in Talking Face Generation.
CoRR
Anni Tang, Tianyu He, Xu Tan, Jun Ling, Runnan Li, Sheng Zhao, Li Song, Jiang Bian
2022 J jnl
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management.
CoRR
Yuandong Ding, Mingxiao Feng, Guozi Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Houqiang Li, Yan Jin, Jiang Bian
2022 A* conf
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction.
WWW
Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian
2022 J jnl
Multi-Objective Personalized Product Retrieval in Taobao Search.
CoRR
Yukun Zheng, Jiang Bian, Guanghao Meng, Chao Zhang, Honggang Wang, Zhixuan Zhang, Sen Li, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng
2022 J jnl
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech.
CoRR
Zehua Chen, Yihan Wu, Yichong Leng, Jiawei Chen, Haohe Liu, Xu Tan, Yang Cui, Ke Wang, Lei He, Sheng Zhao, Jiang Bian, Danilo P. Mandic
2022 A* conf
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets.
ICDM
Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu
2022 J jnl
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets.
CoRR
Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu
2022 A* conf
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble.
IJCAI
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
2022 J jnl
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble.
CoRR
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
2022 J jnl
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing.
CoRR
Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian
2021 A conf
Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations.
AAMAS
Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
2021 J jnl
Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation.
CoRR
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
2021 J jnl
Deep Subdomain Adaptation Network for Image Classification.
CoRR
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
2021 J jnl
Deep Subdomain Adaptation Network for Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
2021 — conf
Deep risk model: a deep learning solution for mining latent risk factors to improve covariance matrix estimation.
ICAIF
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
2021 J jnl
Demonstration actor critic.
Neurocomputing
Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2021 J jnl
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information.
CoRR
Wentao Xu, Weiqing Liu, Lewen Wang, Yingce Xia, Jiang Bian, Jian Yin, Tie-Yan Liu
2021 A conf
HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting.
CIKM
Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian, Tie-Yan Liu
2021 J jnl
IMBENS: Ensemble Class-imbalanced Learning in Python.
CoRR
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
2021 A* conf
Independence-aware Advantage Estimation.
IJCAI
Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu
2021 J jnl
Instance-wise Graph-based Framework for Multivariate Time Series Forecasting.
CoRR
Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021 J jnl
KGE-CL: Contrastive Learning of Knowledge Graph Embeddings.
CoRR
Wentao Xu, Zhiping Luo, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021 A* conf
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport.
KDD
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
2021 J jnl
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport.
CoRR
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
2021 A* conf
Learning to Reweight with Deep Interactions.
AAAI
Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li
2021 A* conf
MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks.
IJCAI
Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu
2021 J jnl
Model Complexity of Deep Learning: A Survey.
CoRR
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian
2021 J jnl
Model complexity of deep learning: a survey.
Knowl. Inf. Syst.
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian
2021 A* conf
REST: Relational Event-driven Stock Trend Forecasting.
WWW
Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021 J jnl
REST: Relational Event-driven Stock Trend Forecasting.
CoRR
Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021 — conf
Revisiting the Evaluation of End-to-end Event Extraction.
ACL/IJCNLP (Findings)
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
2021 J jnl
SHGNN: Structure-Aware Heterogeneous Graph Neural Network.
CoRR
Wentao Xu, Yingce Xia, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021 A conf
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion.
CIKM
Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu
2021 — conf
The CityLearn Challenge 2022: Overview, Results, and Lessons Learned.
NeurIPS (Competition and Demos)
Kingsley Nweye, Zoltán Nagy, Sharada P. 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
2021 J jnl
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.
CoRR
Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
2021 A* conf
Universal Trading for Order Execution with Oracle Policy Distillation.
AAAI
Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
2021 J jnl
Universal Trading for Order Execution with Oracle Policy Distillation.
CoRR
Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
2020 J jnl
ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting.
CoRR
Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian
2020 J jnl
COSEA: Convolutional Code Search with Layer-wise Attention.
CoRR
Hao Wang, Jia Zhang, Yingce Xia, Jiang Bian, Chao Zhang, Tie-Yan Liu
2020 J jnl
Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations.
CoRR
Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
2020 — conf
Invertible Image Rescaling.
ECCV (1)
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
2020 J jnl
Invertible Image Rescaling.
CoRR
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
2020 J jnl
Learn to Use Future Information in Simultaneous Translation.
CoRR
Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu
2020 J jnl
Learning to Teach with Deep Interactions.
CoRR
Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2020 A* conf
Light Multi-Segment Activation for Model Compression.
AAAI
Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu
2020 J jnl
MC-BERT: Efficient Language Pre-Training via a Meta Controller.
CoRR
Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu
2020 A* conf
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.
NeurIPS
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
2020 J jnl
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.
CoRR
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
2020 A* conf
Measuring Model Complexity of Neural Networks with Curve Activation Functions.
KDD
Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei
2020 J jnl
Measuring Model Complexity of Neural Networks with Curve Activation Functions.
CoRR
Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei
2020 J jnl
Qlib: An AI-oriented Quantitative Investment Platform.
CoRR
Xiao Yang, Weiqing Liu, Dong Zhou, Jiang Bian, Tie-Yan Liu
2020 A* conf
Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
ICDE
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
2019 A conf
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network.
AAMAS
Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu
2019 J jnl
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network.
CoRR
Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu
2019 — conf
A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies.
GlobalSIP
Xiao Yang, Weiqing Liu, Lewen Wang, Cheng Qu, Jiang Bian
2019 — conf
Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction.
GlobalSIP
Lewen Wang, Weiqing Liu, Xiao Yang, Jiang Bian
2019 A* conf
DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks.
KDD
Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, Tie-Yan Liu
2019 — conf
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction.
EMNLP/IJCNLP (1)
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
2019 J jnl
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction.
CoRR
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
2019 A* conf
Fully Parameterized Quantile Function for Distributional Reinforcement Learning.
NeurIPS
Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
2019 J jnl
Fully Parameterized Quantile Function for Distributional Reinforcement Learning.
CoRR
Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
2019 A* conf
Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding.
KDD
Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu
2019 A* conf
Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction.
KDD
Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing, Tie-Yan Liu
2019 J jnl
Light Multi-segment Activation for Model Compression.
CoRR
Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu
2019 J jnl
LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm.
CoRR
Ziyu Liu, Guolin Ke, Jiang Bian, Tie-Yan Liu
2019 J jnl
Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
CoRR
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
2019 J jnl
Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation.
IEEE ACM Trans. Audio Speech Lang. Process.
Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu
2019 A* conf
Trust Region Evolution Strategies.
AAAI
Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2019 C conf
Unified Policy Optimization for Robust Reinforcement Learning.
ACML
Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang
2018 A* conf
Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization.
AAAI
Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu
2018 A* conf
Investor-Imitator: A Framework for Trading Knowledge Extraction.
KDD
Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu
2018 A conf
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction.
WSDM
Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, Tie-Yan Liu
2018 A conf
Slim-DP: A Multi-Agent System for Communication-Efficient Distributed Deep Learning.
AAMAS
Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu
2017 A* conf
Dual Inference for Machine Learning.
IJCAI
Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2017 A* conf
Dual Supervised Learning.
ICML
Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu
2017 J jnl
Dual Supervised Learning.
CoRR
Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu
2017 — conf
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks.
ECML/PKDD (1)
Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu
2017 J jnl
Learning What Data to Learn.
CoRR
Yang Fan, Fei Tian, Tao Qin, Jiang Bian, Tie-Yan Liu
2017 J jnl
Slim-DP: A Light Communication Data Parallelism for DNN.
CoRR
Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu
2016 J jnl
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks.
CoRR
Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu
2016 A* conf
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding.
EMNLP
Huazheng Wang, Fei Tian, Bin Gao, Chengjieren Zhu, Jiang Bian, Tie-Yan Liu
2015 J jnl
Active Learning for Ranking through Expected Loss Optimization.
IEEE Trans. Knowl. Data Eng.
Bo Long, Jiang Bian, Olivier Chapelle, Ya Zhang, Yoshiyuki Inagaki, Yi Chang
2015 A conf
DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining.
WSDM
Bin Gao, Jiang Bian
2015 J jnl
Indexing Earth Mover's Distance over Network Metrics.
IEEE Trans. Knowl. Data Eng.
Ting Wang, Shicong Meng, Jiang Bian
2015 J jnl
KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge.
ACM Trans. Inf. Syst.
Qing Cui, Bin Gao, Jiang Bian, Siyu Qiu, Hanjun Dai, Tie-Yan Liu
2015 J jnl
Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding.
CoRR
Huazheng Wang, Bin Gao, Jiang Bian, Fei Tian, Tie-Yan Liu
2014 B conf
A Probabilistic Model for Learning Multi-Prototype Word Embeddings.
COLING
Fei Tian, Hanjun Dai, Jiang Bian, Bin Gao, Rui Zhang, Enhong Chen, Tie-Yan Liu
2014 B conf
Co-learning of Word Representations and Morpheme Representations.
COLING
Siyu Qiu, Qing Cui, Jiang Bian, Bin Gao, Tie-Yan Liu
2014 J jnl
Exploiting User Preference for Online Learning in Web Content Optimization Systems.
ACM Trans. Intell. Syst. Technol.
Jiang Bian, Bo Long, Lihong Li, Taesup Moon, Anlei Dong, Yi Chang
2014 — conf
Knowledge-Powered Deep Learning for Word Embedding.
ECML/PKDD (1)
Jiang Bian, Bin Gao, Tie-Yan Liu
2014 J jnl
Learning Effective Word Embedding using Morphological Word Similarity.
CoRR
Qing Cui, Bin Gao, Jiang Bian, Siyu Qiu, Tie-Yan Liu
2014 A conf
RC-NET: A General Framework for Incorporating Knowledge into Word Representations.
CIKM
Chang Xu, Yalong Bai, Jiang Bian, Bin Gao, Gang Wang, Xiaoguang Liu, Tie-Yan Liu
2014 A conf
Sampling dilemma: towards effective data sampling for click prediction in sponsored search.
WSDM
Jun Feng, Jiang Bian, Taifeng Wang, Wei Chen, Xiaoyan Zhu, Tie-Yan Liu
2014 A* conf
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks.
AAAI
Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu
2014 J jnl
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks.
CoRR
Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu
2014 J jnl
WordRep: A Benchmark for Research on Learning Word Representations.
CoRR
Bin Gao, Jiang Bian, Tie-Yan Liu
2013 — conf
An effective general framework for localized content optimization.
WWW (Companion Volume)
Yoshiyuki Inagaki, Jiang Bian, Yi Chang
2013 A* conf
Psychological advertising: exploring user psychology for click prediction in sponsored search.
KDD
Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, Tie-Yan Liu
2013 J jnl
User Action Interpretation for Online Content Optimization.
IEEE Trans. Knowl. Data Eng.
Jiang Bian, Anlei Dong, Xiaofeng He, Srihari Reddy, Yi Chang
2012 A conf
Enhancing product search by best-selling prediction in e-commerce.
CIKM
Bo Long, Jiang Bian, Anlei Dong, Yi Chang
2012 J jnl
Hybrid Generative/Discriminative Learning for Automatic Image Annotation
CoRR
Shuang-Hong Yang, Jiang Bian, Hongyuan Zha
2012 J jnl
Learning to blend vitality rankings from heterogeneous social networks.
Neurocomputing
Jiang Bian, Yi Chang, Yun Fu, Wen-Yen Chen
2012 — conf
Model news relatedness through user comments.
WWW (Companion Volume)
Xuanhui Wang, Jiang Bian, Yi Chang, Belle L. Tseng
2012 — conf
Optimizing user exploring experience in emerging e-commerce products.
WWW (Companion Volume)
Xiubo Geng, Xin Fan, Jiang Bian, Xin Li, Zhaohui Zheng
2011 A conf
A taxonomy of local search: semi-supervised query classification driven by information needs.
CIKM
Jiang Bian, Yi Chang
2011 A* conf
Enhancing mobile search using web search log data.
SIGIR
Yoshiyuki Inagaki, Jiang Bian, Yi Chang, Motoko Maki
2011 A conf
User action interpretation for personalized content optimization in recommender systems.
CIKM
Anlei Dong, Jiang Bian, Xiaofeng He, Srihari Reddy, Yi Chang
2010 A conf
Hybrid Generative/Discriminative Learning for Automatic Image Annotation.
UAI
Shuang-Hong Yang, Jiang Bian, Hongyuan Zha
2010 A conf
Optimizing unified loss for web ranking specialization.
CIKM
Fan Li, Xin Li, Jiang Bian, Zhaohui Zheng
2010 A* conf
Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM.
WWW
Jiang Bian, Xin Li, Fan Li, Zhaohui Zheng, Hongyuan Zha
2010 A conf
Ranking with query-dependent loss for web search.
WSDM
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
2009 A* conf
Learning to recognize reliable users and content in social media with coupled mutual reinforcement.
WWW
Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichtein, Hongyuan Zha
2009 J jnl
Modeling information-seeker satisfaction in community question answering.
ACM Trans. Knowl. Discov. Data
Eugene Agichtein, Yandong Liu, Jiang Bian
2008 — conf
A few bad votes too many?: towards robust ranking in social media.
AIRWeb
Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyuan Zha
2008 A* conf
Exploring social annotations for information retrieval.
WWW
Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, C. Lee Giles
2008 A* conf
Finding the right facts in the crowd: factoid question answering over social media.
WWW
Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyuan Zha
2008 A* conf
Predicting information seeker satisfaction in community question answering.
SIGIR
Yandong Liu, Jiang Bian, Eugene Agichtein