Bo Zheng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
235
Venues
39
Active years
2000–2026
Best venue rank
A*
Where they publish
- A*ACL43 papers
- A*KDD28 papers
- ACIKM26 papers
- A*WWW22 papers
- A*SIGIR15 papers
- A*EMNLP12 papers
- A*CVPR8 papers
- A*AAAI7 papers
- AWSDM7 papers
- BDASFAA7 papers
- A*ICDE6 papers
- A*ICLR6 papers
- MulticonferenceICASSP4 papers
- A*ICCV4 papers
- A*ECCV4 papers
- A*SIGMOD3 papers
- BACCV3 papers
- A*IJCAI2 papers
- ANAACL2 papers
- ARecSys2 papers
- A*ICRA2 papers
- CICA3PP2 papers
- BICONIP2 papers
- BCoNLL2 papers
- AInterspeech2 papers
- AEACL1 paper
- NationalNSDI1 paper
- CASRU1 paper
- BCOLING1 paper
- A*ICML1 paper
- BSMC1 paper
- AECAI1 paper
- CIGARSS1 paper
- CISCAS1 paper
- AMICCAI1 paper
- CICCBR1 paper
- NationalMVA1 paper
- MulticonferenceICCS1 paper
- BLCN1 paper
Papers
235 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs. | Renhong Huang, Yuxuan Cao, Yi Li, Junwei Hu, Zihua Xiong, Shuai Fang, Sheng Guo, Bo Zheng, Yang Yang |
| 2026 | AAAI | MIRAGE: Towards AI-Generated Image Detection in the Wild. | Oucheng Huang, Manxi Lin, Jiexiang Tan, Xiaoxiong Du, Yang Qiu, Junjun Zheng, Xiangheng Kong, Yuning Jiang, Bo Zheng |
| 2026 | AAAI | Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning. | Yinchao Ma, Qiang Zhou, Zhibin Wang, Xianing Chen, Hanqing Yang, Jun Song, Bo Zheng |
| 2026 | AAAI | DeepPhy: Benchmarking Agentic VLMs on Physical Reasoning. | Xinrun Xu, Pi Bu, Ye Wang, Brje F. Karlsson, Ziming Wang, Tengtao Song, Qi Zhu, Jun Song, Zhiming Ding, Bo Zheng |
| 2026 | ACL | Enabling Agents to Communicate Entirely in Latent Space. | Zhuoyun Du, Runze Wang, Huiyu Bai, Zouying Cao, Xiaoyong Zhu, Yu Cheng, Bo Zheng, Wei Chen, Haochao Ying |
| 2026 | ACL | Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph. | Lirong Gao, Zewei Yu, Zhongrui Yin, Qi Zhang, Yuke Zhu, Bo Zheng, Haobo Wang, Junbo Zhao, Gang Chen, Sheng Guo |
| 2026 | ACL | Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training. | Jihao Gu, Qihang Ai, Yingyao Wang, Pi Bu, Jingxuan Xing, Yue Cao, Zekun Zhu, Wei Jiang, Ziming Wang, Yingxiu Zhao, Ming-Liang Zhang, Jun Song, Yuning Jiang, Bo Zheng |
| 2026 | ACL | Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization. | Shan He, Runze Wang, Zhuoyun Du, Huiyu Bai, Zouying Cao, Yu Cheng, Bo Zheng |
| 2026 | ACL | From Pseudo-Balancing to True Specialization: Memory-Aware Routing for Mixture-of-Experts. | Peixuan Hou, Yunbo Hou, Bin Chen, Li He, Jian Xu, Weiping Li, Bo Zheng, Guojie Song |
| 2026 | ACL | CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria. | Xinyu Hu, Yancheng He, Weixun Wang, Tao Feng, Li Lin, Jiashun Liu, Wenbo Su, Bo Zheng, Xiaojun Wan |
| 2026 | ACL | GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation. | Jiarui Ji, Zehua Zhang, Zhewei Wei, Bin Tong, Guan Wang, Bo Zheng |
| 2026 | ACL | Learning from the Irrecoverable: Error-Localized Policy Optimization for Tool-Integrated LLM Reasoning. | Qiao Liang, Yuke Zhu, Chao Ge, Lei Yang, Ying Shen, Bo Zheng, Sheng Guo |
| 2026 | ACL | RAVR: Reference-Answer-guided Variational Reasoning for Large Language Models. | Tianqianjin Lin, Xi Zhao, Xingyao Zhang, Rujiao Long, Yi Xu, Zhuoren Jiang, Wenbo Su, Bo Zheng |
| 2026 | ACL | PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning. | Langming Liu, Kangtao Lv, Haibin Chen, Weidong Zhang, Yejing Wang, Shilei Liu, Xin Tong, Yujin Yuan, Yongwei Wang, Wenbo Su, Bo Zheng |
| 2026 | ACL | LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment. | Chenji Lu, Zhuo Chen, Hui Zhao, Zhiyuan Zeng, Gang Zhao, Junjie Ren, Haoran Li, Songyan Liu, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng |
| 2026 | ACL | Read As Human: Compressing Context via Parallelizable Close Reading and Skimming. | Jiwei Tang, Shilei Liu, Zhicheng Zhang, Qingsong Lv, Runsong Zhao, Tingwei Lu, Langming Liu, Haibin Chen, Yujin Yuan, Hai-Tao Zheng, Wenbo Su, Bo Zheng |
| 2026 | ACL | SELECting over Tokens: Curating Pre-training Data at Scale via Token Classification. | Xin Tong, Weidong Zhang, Jiaang Li, Haibin Chen, Shilei Liu, Langming Liu, Kangtao Lv, Yujin Yuan, Wenbo Su, Bo Zheng |
| 2026 | ACL | All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG. | Dan Wang, Guozhao Mo, Yafei Shi, Cheng Zhang, Bo Zheng, Boxi Cao, Xuanang Chen, Yaojie Lu, Hongyu Lin, Ben He, Xianpei Han, Le Sun |
| 2026 | ACL | ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants. | Pei Wang, Yanan Wu, Xiaoshuai Song, Weixun Wang, Gengru Chen, Zhongwen Li, Kezhong Yan, Qi Liu, Ken Deng, Shuaibing Zhao, Shaopan Xiong, Xuepeng Liu, Xuefeng Chen, Wanxi Deng, Wenbo Su, Bo Zheng |
| 2026 | ACL | Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language. | Peijie Wang, Ming-Liang Zhang, Jun Cao, Chao Deng, Dekang Ran, Pi Bu, Hongda Sun, Xuan Zhang, Yingyao Wang, Jun Song, Bo Zheng, Fei Yin, Cheng-Lin Liu |
| 2026 | ACL | FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document Analysis. | Shouqing Yang, Qi Zhang, Yuhang Yang, Ruikang Xu, Yuwei Hou, Zhulin Jia, Lirong Gao, Haobo Wang, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Gang Chen |
| 2026 | ACL | AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce. | Biao Zhang, Lixin Chen, Bin Zhang, Zongwei Wang, Tong Liu, Bo Zheng |
| 2026 | ACL | CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling. | Runsong Zhao, Shilei Liu, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Yujin Yuan, Tong Xiao, JingBo Zhu, Wenbo Su, Bo Zheng |
| 2026 | ACL | USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models. | Baolin Zheng, Guanlin Chen, Qingyang Teng, Hongqiong Zhong, Yingshui Tan, Zhendong Liu, Weixun Wang, Jiaheng Liu, Jian Yang, Huiyun Jing, Jincheng Wei, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang |
| 2026 | ACL | MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification. | Bo Zheng, Yudong Chen, Zihua Xiong, Shuai Fang, Peidong He, Yang Yang, Sheng Guo |
| 2026 | ACL | Unified Thinker: A General Reasoning Core for Image Generation. | Sashuai Zhou, Qiang Zhou, Jijin Hu, Hanqing Yang, Yue Cao, Junpeng Ma, Yinchao Ma, Jun Song, Tiezheng Ge, Cheng Yu, Bo Zheng, Zhou Zhao |
| 2026 | EACL | Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration. | Guozhao Mo, Yanjiang Liu, Yafei Shi, Jiawei Chen, Yang Li, Yaojie Lu, Hongyu Lin, Ben He, Le Sun, Bo Zheng, Xianpei Han |
| 2026 | ICDE | MVGPT: Generative Materialized View Forecasting. | Yue Han, Guoliang Li, Wenchun Xu, Xianglei Ran, Zeya Gong, Wei Guo, Guang Qiu, Bo Zheng |
| 2026 | ICDE | FedDict: Towards Practical Federated Dictionary-Based Time Series Classification (Extended Abstract). | Zhiyu Liang, Zheng Liang, Hongzhi Wang, Bo Zheng |
| 2026 | ICDE | REVISION:Reflective Intent Mining and Online Reasoning Auxiliary for E-Commerce Visual Search System Optimization. | Yiwen Tang, Qiuyu Zhao, Zenghui Sun, Jinsong Lan, Xiaoyong Zhu, Bo Zheng |
| 2026 | KDD | IMPACTNet: Unifying Auto-bidding in End-to-End Merged Auctions. | Yuhan Wang, Yuchao Ma, Liang Zhang, Ziyuan Wang, Zhiyuan Su, Qi Qi, Yafei Wang, Xu Li, Yuyao Liu, Pengjie Wang, Jian Xu, Bo Zheng |
| 2026 | KDD | LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models. | Jiacheng You, Jingcheng Yang, Yuhang Xie, Zhongxuan Wu, Xiucheng Li, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xinyang Chen |
| 2026 | KDD | VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search. | Xiao Zhang, Guanyu Chen, Boyang Zuo, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng |
| 2026 | NSDI | RollPacker: Taming Long-Tail Rollouts for RL Post-Training with Tail Batching. | Wei Gao, Yuheng Zhao, Dakai An, Tianyuan Wu, Lunxi Cao, Shaopan Xiong, Ju Huang, Weixun Wang, Siran Yang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang |
| 2026 | WWW | Multi-Branch Cooperation Networks for Enhanced Click-Through Rate Prediction in Large-Scale E-Commerce Search. | Xu Chen, Zida Cheng, Shuai Xiao, Chen Ju, Xiaoming Liu, Jinsong Lan, Xiaoyong Zhu, Bo Zheng |
| 2026 | WWW | PolicySim: An LLM-Based Agent Social Simulation Sandbox for Proactive Policy Optimization. | Renhong Huang, Ning Tang, Jiarong Xu, Yuxuan Cao, Qingqian Tu, Sheng Guo, Bo Zheng, Huiyuan Liu, Yang Yang |
| 2026 | WWW | Multi-Behavior Sequential Modeling with Transition-Aware Graph Attention Network for E-Commerce Recommendation. | Hanqi Jin, Gaoming Yang, Zhangming Chan, Yapeng Yuan, Longbin Li, Fei Sun, Yeqiu Yang, Jian Wu, Yuning Jiang, Bo Zheng |
| 2026 | WWW | Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions. | Mingxuan Luo, Guipeng Xv, Sishuo Chen, Xinyu Li, Li Zhang, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Bo Zheng, Chen Lin |
| 2026 | WWW | Few-shot and Zero-shot Audience Expansion with User and Task Model Pre-training on Tabular Data. | Siwei Qiang, Pengyu Li, Zhe Yu, Mengyao Sun, Jun Chen, Bo Zheng |
| 2026 | WWW | ThinkRec: Thinking-based recommendation via LLM. | Qihang Yu, Kairui Fu, Zheqi Lv, Shengyu Zhang, Xinhui Wu, Chen Lin, Feng Wei, Bo Zheng, Fei Wu |
| 2026 | SIGIR | Uniboost: Global Coordination with Value Alignment for Fair and Efficient Traffic Allocation. | Ge Fan, Nan Zhao, Kai Meng, Cong Luo, Yang Fu, Huiping Chu, Jialin Liu, Yuning Jiang, Bo Zheng |
| 2026 | SIGIR | Equip Pre-ranking with Target Attention by Residual Quantization. | Yutong Li, Yu Zhu, Yichen Qiao, Ziyu Guan, Lv Shao, Tong Liu, Bo Zheng |
| 2026 | SIGIR | GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks. | Yejing Wang, Shengyu Zhou, Jinyu Lu, Qidong Liu, Xinhang Li, Wenlin Zhang, Feng Li, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng, Xiangyu Zhao |
| 2026 | SIGIR | Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance. | Tingqiao Xu, Shaowei Yao, Chenhe Dong, Yiming Jin, Zerui Huang, Dan Ou, Haihong Tang, Bo Zheng |
| 2026 | SIGMOD | NebulaSQL: A Large-scale Feature Computation System for Online Recommendation. | Zichao Zhang, Feng Han, Yan Zhang, Tianchen Ye, Xingyu Wen, Shuo Feng, Peiying Wang, Li Peng, Weiran Liu, Jiamang Wang, Lei Zhang, Bo Zheng, Lin Qu |
| 2026 | WSDM | Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. | Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng |
| 2026 | WSDM | MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding. | Daoze Zhang, Chenghan Fu, Zhanheng Nie, Jianyu Liu, Wanxian Guan, Yuan Gao, Jun Song, Pengjie Wang, Jian Xu, Bo Zheng |
| 2025 | AAAI | RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance. | Chengrui Wang, Pengfei Liu, Min Zhou, Ming Zeng, Xubin Li, Tiezheng Ge, Bo Zheng |
| 2025 | ACL | PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization. | Zouying Cao, Runze Wang, Yifei Yang, Xinbei Ma, Xiaoyong Zhu, Bo Zheng, Hai Zhao |
| 2025 | ACL | LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating. | Chao Deng, Jiale Yuan, Pi Bu, Peijie Wang, Zhong-Zhi Li, Jian Xu, Xiao-Hui Li, Yuan Gao, Jun Song, Bo Zheng, Cheng-Lin Liu |
| 2025 | ACL | See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models. | Jihao Gu, Yingyao Wang, Pi Bu, Chen Wang, Ziming Wang, Tengtao Song, Donglai Wei, Jiale Yuan, Yingxiu Zhao, Yancheng He, Shilong Li, Jiaheng Liu, Meng Cao, Jun Song, Yingshui Tan, Xiang Li, Wenbo Su, Xiaoyong Zhu, Bo Zheng |
| 2025 | ACL | Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. | Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Dekai Sun, Zhicheng Zheng, Wenbo Su, Bo Zheng |
| 2025 | ACL | Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? | Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Z. Y. Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo Zheng |
| 2025 | ACL | HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden States. | Yilei Jiang, Xinyan Gao, Tianshuo Peng, Yingshui Tan, Xiaoyong Zhu, Bo Zheng, Xiangyu Yue |
| 2025 | ACL | M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation. | Jiaheng Liu, Ken Deng, Congnan Liu, Jian Yang, Shukai Liu, He Zhu, Peng Zhao, Linzheng Chai, Yanan Wu, Ke Jin, Ge Zhang, Zekun Moore Wang, Guoan Zhang, Yingshui Tan, Bangyu Xiang, Zhaoxiang Zhang, Wenbo Su, Bo Zheng |
| 2025 | ACL | Do not Abstain! Identify and Solve the Uncertainty. | Jingyu Liu, JingquanPeng JingquanPeng, Xiaopeng Wu, Xubin Li, Tiezheng Ge, Bo Zheng, Yong Liu |
| 2025 | ACL | Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models. | Zihan Qiu, Zeyu Huang, Bo Zheng, Kaiyue Wen, Zekun Wang, Rui Men, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin |
| 2025 | ACL | ProgCo: Program Helps Self-Correction of Large Language Models. | Xiaoshuai Song, Yanan Wu, Weixun Wang, Jiaheng Liu, Wenbo Su, Bo Zheng |
| 2025 | ACL | Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models. | Yingshui Tan, Boren Zheng, Baihui Zheng, Kerui Cao, Huiyun Jing, Jincheng Wei, Jiaheng Liu, Yancheng He, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang |
| 2025 | ACL | AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks. | Wenhua Zhang, Weicheng Li, Xuanrong Rao, Lixin Zou, Xiangyang Luo, Chubin Zhuang, Yongjie Hong, Zhen Qin, Hengyun Chang, Chenliang Li, Bo Zheng |
| 2025 | ASRU | Masked Self-distilled Transducer-based Keyword Spotting with Semi-autoregressive Decoding. | Yu Xi, Xiaoyu Gu, Haoyu Li, Jun Song, Bo Zheng, Kai Yu |
| 2025 | CIKM | See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction. | Sishuo Chen, Zhangming Chan, Xiang-Rong Sheng, Lei Zhang, Sheng Chen, Chenghuan Hou, Han Zhu, Jian Xu, Bo Zheng |
| 2025 | CIKM | T-Stars-Poster: A Framework for Product-Centric Advertising Image Design. | Hongyu Chen, Min Zhou, Jing Jiang, Jiale Chen, Yang Lu, Zihang Lin, Bo Xiao, Tiezheng Ge, Bo Zheng |
| 2025 | CIKM | TBGRecall: A Generative Retrieval Model for E-commerce Recommendation Scenarios. | Zida Liang, Changfa Wu, Dunxian Huang, Weiqiang Sun, Ziyang Wang, Yuliang Yan, Jian Wu, Yuning Jiang, Bo Zheng, Ke Chen, Silu Zhou, Yu Zhang |
| 2025 | CIKM | ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. | Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng |
| 2025 | COLING | MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples. | Shuo Xie, Fangzhi Zhu, Jiahui Wang, Lulu Wen, Wei Dai, Xiaowei Chen, Junxiong Zhu, Kai Zhou, Bo Zheng |
| 2025 | CVPR | RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness. | Tianyu Yu, Haoye Zhang, Qiming Li, Qixin Xu, Yuan Yao, Da Chen, Xiaoman Lu, Ganqu Cui, Yunkai Dang, Taiwen He, Xiaocheng Feng, Jun Song, Bo Zheng, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun |
| 2025 | CVPR | PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering. | Yifan Gao, Zihang Lin, Chuanbin Liu, Min Zhou, Tiezheng Ge, Bo Zheng, Hongtao Xie |
| 2025 | DASFAA | LLM-Based Keyphrase-Augmented Framework for Semantic Relevance Assessment in E-Commerce. | Guoliang Zhang, Gang Zhao, Zhiyuan Zeng, Songyan Liu, Haoyue Zhang, Hui Zhao, Tianshu Wu, PengjieWang, Jian Xu, Bo Zheng, Baolin Liu |
| 2025 | DASFAA | Interpretable Word Representation Learning Framework for Modeling Semantic Relevance in E-commerce. | Haoyue Zhang, Zhiyuan Zeng, Guoliang Zhang, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu |
| 2025 | EMNLP | VC4VG: Optimizing Video Captions for Text-to-Video Generation. | Yang Du, Zhuoran Lin, Kaiqiang Song, Biao Wang, Zhicheng Zheng, Tiezheng Ge, Bo Zheng, Qin Jin |
| 2025 | EMNLP | Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation. | Jihao Gu, Yingyao Wang, Meng Cao, Pi Bu, Jun Song, Bo Zheng, Yancheng He, Shilong Li |
| 2025 | EMNLP | AIR: Complex Instruction Generation via Automatic Iterative Refinement. | Wei Liu, Yancheng He, Yu Li, Hui Huang, Chengwei Hu, Jiaheng Liu, Shilong Li, Wenbo Su, Bo Zheng |
| 2025 | EMNLP | How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models. | Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, Wenbo Su, Bo Zheng |
| 2025 | EMNLP | GSID: Generative Semantic Indexing for E-Commerce Product Understanding. | Haiyang Yang, Qinye Xie, Qingheng Zhang, Chen Li Yu, Huike Zou, Chengbao Lian, Shuguang Han, Fei Huang, Jufeng Chen, Bo Zheng |
| 2025 | EMNLP | SMEC:Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression. | Biao Zhang, Lixin Chen, Tong Liu, Bo Zheng |
| 2025 | EMNLP | LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization. | Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Haobo Wang, Junbo Zhao |
| 2025 | ICASSP | LLGS: Illuminating Gaussian Splatting via absorptance Modulation. | Jianwen Gan, Wenxin Li, Bo Zheng, Chengliang Wang, Yingbo Wu |
| 2025 | ICCV | CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games. | Peng Chen, Pi Bu, Yingyao Wang, Xinyi Wang, Ziming Wang, Jie Guo, Yingxiu Zhao, Qi Zhu, Jun Song, Siran Yang, Jiamang Wang, Bo Zheng |
| 2025 | ICCV | Inter: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling. | Xin Dong, Shichao Dong, Jin Wang, Jing Huang, Li Zhou, Zenghui Sun, Lihua Jing, Jinsong Lan, Xiaoyong Zhu, Bo Zheng |
| 2025 | ICLR | OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs. | Jitai Hao, Yuke Zhu, Tian Wang, Jun Yu, Xin Xin, Bo Zheng, Zhaochun Ren, Sheng Guo |
| 2025 | ICLR | Minimal Impact ControlNet: Advancing Multi-ControlNet Integration. | Shikun Sun, Min Zhou, Zixuan Wang, Xubin Li, Tiezheng Ge, Zijie Ye, Xiaoyu Qin, Junliang Xing, Bo Zheng, Jia Jia |
| 2025 | ICLR | MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models. | Pei Wang, Yanan Wu, Noah Wang, Jiaheng Liu, Xiaoshuai Song, Z. Y. Peng, Ken Deng, Chenchen Zhang, Jiakai Wang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng |
| 2025 | ICLR | Small Models are LLM Knowledge Triggers for Medical Tabular Prediction. | Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu |
| 2025 | ICLR | Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information. | Yuke Zhu, Yue Zhang, Dongdong Liu, Chi Xie, Zihua Xiong, Bo Zheng, Sheng Guo |
| 2025 | ICML | Differentiable Solver Search for Fast Diffusion Sampling. | Shuai Wang, Zexian Li, Qipeng Zhang, Tianhui Song, Xubin Li, Tiezheng Ge, Bo Zheng, Limin Wang |
| 2025 | IJCAI | D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning. | Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-Wen Yang, Bo Zheng, Yi Liu, Lan-Zhe Guo |
| 2025 | KDD | Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui". | Ningyuan Li, Zhilin Zhang, Tianyan Long, Yuyao Liu, Rongquan Bai, Yurong Chen, Xiaotie Deng, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng |
| 2025 | KDD | An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising. | Zhijian Duan, Yusen Huo, Tianyu Wang, Zhilin Zhang, Yeshu Li, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng |
| 2025 | KDD | ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. | Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng |
| 2025 | KDD | Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens. | Jiahao Ji, Tianyu Wang, Yeshu Li, Yusen Huo, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng |
| 2025 | KDD | Robust Data-Driven Auction Design. | Qilong Lin, Yangsu Liu, Dagui Chen, Zhenzhe Zheng, Jian Xu, Bo Zheng, Fan Wu, Guihai Chen |
| 2025 | KDD | UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. | Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng |
| 2025 | KDD | Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems. | Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Xiangyu Zhao |
| 2025 | KDD | Contextual Generative Auction with Permutation-level Externalities for Online Advertising. | Ruitao Zhu, Yangsu Liu, Dagui Chen, Zhenjia Ma, Chufeng Shi, Zhenzhe Zheng, Jie Zhang, Jian Xu, Bo Zheng, Fan Wu |
| 2025 | NAACL | 2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. | Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng |
| 2025 | RecSys | USD: A User-Intent-Driven Sampling and Dual-Debiasing Framework for Large-Scale Homepage Recommendations. | Jiaqi Zheng, Cheng Guo, Yi Cao, Chaoqun Hou, Tong Liu, Bo Zheng |
| 2025 | RecSys | User Long-Term Multi-Interest Retrieval Model for Recommendation. | Yue Meng, Cheng Guo, Xiaohui Hu, Honghu Deng, Yi Cao, Tong Liu, Bo Zheng |
| 2025 | SMC | POGS: Position-Optimized Gaussian Splatting for Reconstruction in Unevenly Illuminated Scenarios. | Chaoyu Gao, Chengliang Wang, Ji Liu, Yonggang Luo, Tian Jiang, Bo Zheng |
| 2025 | WWW | Learning against Non-credible Second-Price Auctions. | Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng |
| 2025 | WWW | DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach. | Qin Chen, Liang Wang, Bo Zheng, Guojie Song |
| 2025 | WWW | DMLoRA: Dynamic Multi-Subspace Low-Rank Adaptation. | Cong Jiang, Fangzhi Zhu, Xiaowei Chen, Junxiong Zhu, Bo Zheng, Yifeng Wang, Zheng Zhang |
| 2025 | WWW | Computational Advertising: Recent Advances. | Junwei Pan, Zhilin Zhang, Han Zhu, Jian Xu, Jie Jiang, Bo Zheng |
| 2025 | WWW | Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning. | Gang Zhao, Ximing Zhang, Chenji Lu, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng |
| 2025 | SIGIR | A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao. | Yue Meng, Cheng Guo, Yi Cao, Tong Liu, Bo Zheng |
| 2025 | SIGMOD | KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection. | Zhiyu Liang, Dongrui Cai, Chenyuan Zhang, Zheng Liang, Chen Liang, Bo Zheng, Shi Qiu, Jin Wang, Hongzhi Wang |
| 2025 | WSDM | Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. | Shijie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng |
| 2024 | AAAI | Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization. | Liang Dai, Kejie Lyu, Chengcheng Zhang, Guangming Zhao, Zhonglin Zu, Liang Wang, Bo Zheng |
| 2024 | ACL | MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. | Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang |
| 2024 | ACL | E2-LLM: Efficient and Extreme Length Extension of Large Language Models. | Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng |
| 2024 | ACL | ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. | Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, Zhiqi Bai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng |
| 2024 | ACL | Synchronized Video Storytelling: Generating Video Narrations with Structured Storyline. | Dingyi Yang, Chunru Zhan, Ziheng Wang, Biao Wang, Tiezheng Ge, Bo Zheng, Qin Jin |
| 2024 | CIKM | Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights. | Xiang-Rong Sheng, Feifan Yang, Litong Gong, Biao Wang, Zhangming Chan, Yujing Zhang, Yueyao Cheng, Yong-Nan Zhu, Tiezheng Ge, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng |
| 2024 | CVPR | EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling. | Haiyang Liu, Zihao Zhu, Giorgio Becherini, Yichen Peng, Mingyang Su, You Zhou, Xuefei Zhe, Naoya Iwamoto, Bo Zheng, Michael J. Black |
| 2024 | CVPR | Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments. | Yusuke Takimoto, Hikari Takehara, Hiroyuki Sato, Zihao Zhu, Bo Zheng |
| 2024 | DASFAA | Cnos-Connector: Enabling Seamless Connection with CnosDB to Facilitate Large-Scale Time-Series Data Management and Analytics. | Zhiyu Liang, Yihao Dai, Bo Zheng, Hongzhi Wang |
| 2024 | DASFAA | iMonitor: A Real-Time Monitoring Platform for Industrial Internet of Things. | Zhiyu Liang, Linhan Jia, Bo Zheng, Hongzhi Wang |
| 2024 | DASFAA | Towards Real-Time Data Ingestion for Industrial Internet of Things. | Zhiyu Liang, Tingting Zhang, Bo Zheng, Hongzhi Wang |
| 2024 | ECAI | Laner-GNN: Adapting to Long-Tail Degree Distribution with Latent Neighborhood Restorers. | Lingjun Xu, Haowen Li, Guojie Song, Liang Wang, Bo Zheng |
| 2024 | ECCV | Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models. | Chen Ju, Haicheng Wang, Haozhe Cheng, Xu Chen, Zhonghua Zhai, Weilin Huang, Jinsong Lan, Shuai Xiao, Bo Zheng |
| 2024 | ECCV | Accelerating Image Generation with Sub-path Linear Approximation Model. | Chen Xu, Tianhui Song, Weixin Feng, Xubin Li, Tiezheng Ge, Bo Zheng, Limin Wang |
| 2024 | EMNLP | GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation. | Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng |
| 2024 | EMNLP | GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. | Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng |
| 2024 | EMNLP | SEGMENT+: Long Text Processing with Short-Context Language Models. | Wei Shi, Shuang Li, Kerun Yu, Jinglei Chen, Zujie Liang, Xinhui Wu, Yuxi Qian, Feng Wei, Bo Zheng, Jiaqing Liang, Jiangjie Chen, Yanghua Xiao |
| 2024 | ICLR | Making Pre-trained Language Models Great on Tabular Prediction. | Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen |
| 2024 | ICRA | DynaInsRemover: A Real-time Dynamic Instance-Aware Static 3D LiDAR Mapping Framework for Dynamic Environment. | Huanfeng Zhao, Meibao Yao, Xueming Xiao, Bo Zheng |
| 2024 | IGARSS | Comparison of Methods for Crop Classification and Rice Extraction on Chongming Island Based on Sentinel-1 and Sentinel-2 Data. | Yuqing Chang, Lei Zhang, Bo Zheng |
| 2024 | KDD | Generative Auto-bidding via Conditional Diffusion Modeling. | Jiayan Guo, Yusen Huo, Zhilin Zhang, Tianyu Wang, Chuan Yu, Jian Xu, Bo Zheng, Yan Zhang |
| 2024 | KDD | Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce. | Zhe Lin, Jiwei Tan, Dan Ou, Xi Chen, Shaowei Yao, Bo Zheng |
| 2024 | WWW | Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms. | Ningyuan Li, Yunxuan Ma, Yang Zhao, Qian Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng |
| 2024 | WWW | MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation. | Wenhao Wu, Jialiang Zhou, Ailong He, Shuguang Han, Jufeng Chen, Bo Zheng |
| 2024 | SIGMOD | UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning. | Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng |
| 2024 | WSDM | Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. | Xiaoqiang Gui, Yueyao Cheng, Xiang-Rong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng |
| 2024 | WSDM | Unified Visual Preference Learning for User Intent Understanding. | Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li |
| 2023 | CIKM | BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. | Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng |
| 2023 | CIKM | Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. | Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng |
| 2023 | CIKM | MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. | Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Haoqi Zhang, Zhenzhe Zheng, Zhilin Zhang, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Fan Wu |
| 2023 | CIKM | PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. | Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng |
| 2023 | CIKM | Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. | Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2023 | CIKM | COPR: Consistency-Oriented Pre-Ranking for Online Advertising. | Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng |
| 2023 | CIKM | Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction. | Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu, Bo Zheng |
| 2023 | DASFAA | CnosDB: A Flexible Distributed Time-Series Database for Large-Scale Data. | Yu Yan, Bo Zheng, Hongzhi Wang, Jinkai Zhang, Yutong Wang |
| 2023 | ICA3PP | Schema Integration on Massive Data Sources. | Tianbao Li, Haifeng Guo, Donghua Yang, Mengmeng Li, Bo Zheng, Hongzhi Wang |
| 2023 | ICA3PP | Approximate Query Processing Based on Approximate Materialized View. | Yuhan Wu, Haifeng Guo, Donghua Yang, Mengmeng Li, Bo Zheng, Hongzhi Wang |
| 2023 | ICASSP | Leveraging Pretrained Representations With Task-Related Keywords for Alzheimer's Disease Detection. | Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng |
| 2023 | ICASSP | Exploiting Prompt Learning with Pre-Trained Language Models for Alzheimer's Disease Detection. | Yi Wang, Jiajun Deng, Tianzi Wang, Bo Zheng, Shoukang Hu, Xunying Liu, Helen Meng |
| 2023 | ICONIP | Neural-Symbolic Recommendation with Graph-Enhanced Information. | Bang Chen, Wei Peng, Maonian Wu, Bo Zheng, Shaojun Zhu |
| 2023 | KDD | Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. | Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng |
| 2023 | KDD | Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach. | Ningyuan Li, Yunxuan Ma, Yang Zhao, Zhijian Duan, Yurong Chen, Zhilin Zhang, Jian Xu, Bo Zheng, Xiaotie Deng |
| 2023 | KDD | End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising. | Wuyang Mao, Chuanren Liu, Yundu Huang, Zhonglin Zu, M. Harshvardhan, Liang Wang, Bo Zheng |
| 2023 | KDD | Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. | Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng |
| 2023 | KDD | Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning. | Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng |
| 2023 | KDD | RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. | Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2023 | KDD | E-commerce Search via Content Collaborative Graph Neural Network. | Guipeng Xv, Chen Lin, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng |
| 2023 | KDD | A Personalized Automated Bidding Framework for Fairness-aware Online Advertising. | Haoqi Zhang, Lvyin Niu, Zhenzhe Zheng, Zhilin Zhang, Shan Gu, Fan Wu, Chuan Yu, Jian Xu, Guihai Chen, Bo Zheng |
| 2023 | KDD | On Structural Expressive Power of Graph Transformers. | Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng |
| 2023 | WWW | Fairness-aware Guaranteed Display Advertising Allocation under Traffic Cost Constraint. | Liang Dai, Zhonglin Zu, Hao Wu, Liang Wang, Bo Zheng |
| 2023 | WWW | Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. | Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng |
| 2023 | WWW | Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. | Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng |
| 2023 | SIGIR | Multi-Scenario Ranking with Adaptive Feature Learning. | Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li |
| 2023 | SIGIR | FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. | Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng |
| 2023 | SIGIR | Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. | Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | ACL | XLM-E: Cross-lingual Language Model Pre-training via ELECTRA. | Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Bo Zheng, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei |
| 2022 | ACL | StableMoE: Stable Routing Strategy for Mixture of Experts. | Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei |
| 2022 | CIKM | Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. | Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng |
| 2022 | CIKM | Hierarchically Constrained Adaptive Ad Exposure in Feeds. | Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng |
| 2022 | CIKM | Adaptive Domain Interest Network for Multi-domain Recommendation. | Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng |
| 2022 | CIKM | STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. | Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng |
| 2022 | CIKM | Visual Encoding and Debiasing for CTR Prediction. | Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng |
| 2022 | CIKM | AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. | Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | CIKM | Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. | Zhiyuan Zeng, Yuzhi Huang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng |
| 2022 | CIKM | KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. | Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng |
| 2022 | CIKM | Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models. | Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng |
| 2022 | DASFAA | CO-AutoML: An Optimizable Automated Machine Learning System. | Chunnan Wang, Hongzhi Wang, Bo Xu, Xintong Song, Xiangyu Shi, Yuhao Bao, Bo Zheng |
| 2022 | ECCV | BEAT: A Large-Scale Semantic and Emotional Multi-modal Dataset for Conversational Gestures Synthesis. | Haiyang Liu, Zihao Zhu, Naoya Iwamoto, Yichen Peng, Zhengqing Li, You Zhou, Elif Bozkurt, Bo Zheng |
| 2022 | ICASSP | Characterizing the Adversarial Vulnerability of Speech self-Supervised Learning. | Haibin Wu, Bo Zheng, Xu Li, Xixin Wu, Hung-Yi Lee, Helen Meng |
| 2022 | ICDE | AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. | Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng |
| 2022 | ICDE | PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. | Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng |
| 2022 | ISCAS | Deep Learning-Assisted Video Compression Framework. | Hengyu Man, Chang Yu, Feng Xing, Yang Cheng, Bo Zheng, Xiaopeng Fan |
| 2022 | KDD | EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. | Chi Chen, Hui Chen, Kangzhi Zhao, Junsheng Zhou, Li He, Hongbo Deng, Jian Xu, Bo Zheng, Yong Zhang, Chunxiao Xing |
| 2022 | KDD | Pretraining Representations of Multi-modal Multi-query E-commerce Search. | Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng |
| 2022 | KDD | ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. | Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng |
| 2022 | KDD | Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. | Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng |
| 2022 | MICCAI | Self-learning and One-Shot Learning Based Single-Slice Annotation for 3D Medical Image Segmentation. | Yixuan Wu, Bo Zheng, Jintai Chen, Danny Z. Chen, Jian Wu |
| 2022 | NAACL | CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. | Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | WWW | Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. | Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng |
| 2022 | WWW | DC-GNN: Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval. | Chenchen Feng, Yu He, Shiyang Wen, Guojun Liu, Liang Wang, Jian Xu, Bo Zheng |
| 2022 | WWW | MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. | Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng |
| 2022 | WWW | UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. | Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | SIGIR | Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. | Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng |
| 2022 | SIGIR | Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation. | Pengyang Li, Rong Chen, Quan Liu, Jian Xu, Bo Zheng |
| 2022 | SIGIR | Joint Optimization of Ad Ranking and Creative Selection. | Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng |
| 2022 | SIGIR | Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. | Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng |
| 2022 | SIGIR | Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. | Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | WSDM | A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. | Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng |
| 2022 | WSDM | Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. | Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng |
| 2021 | ACL | Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment. | Zewen Chi, Li Dong, Bo Zheng, Shaohan Huang, Xian-Ling Mao, Heyan Huang, Furu Wei |
| 2021 | ACL | Consistency Regularization for Cross-Lingual Fine-Tuning. | Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei |
| 2021 | CIKM | Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. | Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng |
| 2021 | CIKM | AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation. | Penghui Wei, Weimin Zhang, Zixuan Xu, Shaoguo Liu, Kuang-chih Lee, Bo Zheng |
| 2021 | CIKM | SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search. | Shiyang Wen, Yiran Chen, Zhi Yang, Yan Zhang, Di Zhang, Liang Wang, Bo Zheng |
| 2021 | CIKM | Binary Code based Hash Embedding for Web-scale Applications. | Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng |
| 2021 | CIKM | Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. | Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng |
| 2021 | EMNLP | Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training. | Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei |
| 2021 | ICCV | 4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface. | Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Niener |
| 2021 | KDD | Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search. | Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao Liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng |
| 2021 | SIGIR | Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. | Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng |
| 2021 | SIGIR | Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. | Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng |
| 2020 | AAAI | RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search (Student Abstract). | Xiuying Chen, Daorui Xiao, Shen Gao, Guojun Liu, Wei Lin, Bo Zheng, Dongyan Zhao, Rui Yan |
| 2020 | ACL | Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. | Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu |
| 2020 | CVPR | Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery. | Xu Cao, Michael Waechter, Boxin Shi, Ye Gao, Bo Zheng, Yasuyuki Matsushita |
| 2020 | ECCV | Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring. | Zhihang Zhong, Ye Gao, Yinqiang Zheng, Bo Zheng |
| 2020 | ICDE | Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search. | Tong Zhang, Baoliang Cui, Zhen Cui, Haikuan Huang, Jian Yang, Hongbo Deng, Bo Zheng |
| 2020 | WWW | Adversarial Multimodal Representation Learning for Click-Through Rate Prediction. | Xiang Li, Chao Wang, Jiwei Tan, Xiaoyi Zeng, Dan Ou, Bo Zheng |
| 2019 | KDD | A Minimax Game for Instance based Selective Transfer Learning. | Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou |
| 2019 | WWW | Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. | Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng |
| 2018 | CoNLL | Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation. | Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng, Ting Liu |
| 2018 | EMNLP | An AMR Aligner Tuned by Transition-based Parser. | Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu |
| 2018 | ICCBR | An Effective Method for Identifying Unknown Unknowns with Noisy Oracle. | Bo Zheng, Xin Lin, Yanghua Xiao, Jing Yang, Liang He |
| 2017 | CoNLL | The HIT-SCIR System for End-to-End Parsing of Universal Dependencies. | Wanxiang Che, Jiang Guo, Yuxuan Wang, Bo Zheng, Huaipeng Zhao, Yang Liu, Dechuan Teng, Ting Liu |
| 2017 | IJCAI | Efficient Mechanism Design for Online Scheduling (Extended Abstract). | Xujin Chen, Xiaodong Hu, Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Changjun Wang, Bo Zheng |
| 2015 | MVA | Modeling the stone floor based on excavation information using implicit polynomial. | Yoshihiro Sato, Bo Zheng, Yousuke Shinya, Takeshi Oishi, Katsushi Ikeuchi |
| 2014 | CVPR | Robust 3D Features for Matching between Distorted Range Scans Captured by Moving Systems. | Xiangqi Huang, Bo Zheng, Takeshi Masuda, Katsushi Ikeuchi |
| 2014 | ICRA | Detecting potential falling objects by inferring human action and natural disturbance. | Bo Zheng, Yibiao Zhao, Joey C. Yu, Katsushi Ikeuchi, Song-Chun Zhu |
| 2013 | CVPR | Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics. | Bo Zheng, Yibiao Zhao, Joey C. Yu, Katsushi Ikeuchi, Song-Chun Zhu |
| 2011 | ICCV | Locally rigid globally non-rigid surface registration. | Kent Fujiwara, Ko Nishino, Jun Takamatsu, Bo Zheng, Katsushi Ikeuchi |
| 2010 | ACCV | 3D Shape Restoration via Matrix Recovery. | Min Lu, Bo Zheng, Jun Takamatsu, Ko Nishino, Katsushi Ikeuchi |
| 2009 | ACCV | Multilevel Algebraic Invariants Extraction by Incremental Fitting Scheme. | Bo Zheng, Jun Takamatsu, Katsushi Ikeuchi |
| 2008 | CVPR | 6-DOF pose estimation from single Ultrasound image using 3D IP models. | Bo Zheng, Ryoichi Ishikawa, Takeshi Oishi, Jun Takamatsu, Katsushi Ikeuchi |
| 2007 | ACCV | Adaptively Determining Degrees of Implicit Polynomial Curves and Surfaces. | Bo Zheng, Jun Takamatsu, Katsushi Ikeuchi |
| 2006 | ICCS | AM-Trie: A High-Speed Parallel Packet Classification Algorithm for Network Processor. | Bo Zheng, Chuang Lin |
| 2006 | ICONIP | Effect of Diffusion Weighting and Number of Sensitizing Directions on Fiber Tracking in DTI. | Bo Zheng, Jagath C. Rajapakse |
| 2005 | LCN | AntiWorm NPU-based Parallel Bloom Filters for TCP/IP Content Processing in Giga-Ethernet LAN. | Zhen Chen, Chuang Lin, Jia Ni, Dong-Hua Ruan, Bo Zheng, Yixin Jiang |
| 2000 | Interspeech | The pitch movement of word stress in Chinese. | Bei Wang, Bo Zheng, Shinan Lu, Jianfen Cao, Yufang Yang |
| 2000 | Interspeech | The regular accent in Chinese sentences. | Bo Zheng, Bei Wang, Yufang Yang, Shinan Lu, Jianfen Cao |