Chenglong Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
68
Venues
30
Active years
2015–2026
Best venue rank
A*
Where they publish
- A*AAAI7 papers
- A*CHI7 papers
- A*EMNLP7 papers
- A*ACL5 papers
- AInterspeech5 papers
- MulticonferenceICASSP4 papers
- A*SIGMOD3 papers
- A*ICML2 papers
- BIJCNN2 papers
- A*ICLR2 papers
- A*CVPR2 papers
- A*PLDI2 papers
- CHPCC2 papers
- AMICCAI2 papers
- AIUI1 paper
- AACSAC1 paper
- CCGI1 paper
- CCSCWD1 paper
- BCBMS1 paper
- CIGARSS1 paper
- A*CAV1 paper
- BICPR1 paper
- BSMC1 paper
- BLREC1 paper
- ANAACL1 paper
- ACIDR1 paper
- A*KDD1 paper
- AECOOP1 paper
- CPEPM1 paper
- MulticonferenceSAC1 paper
Papers
68 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement. | Yuan Ge, Junxiang Zhang, Xiaoqian Liu, Bei Li, Xiangnan Ma, Chenglong Wang, Kaiyang Ye, Yangfan Du, Linfeng Zhang, Yuxin Huang, Tong Xiao, Zhengtao Yu, Jingbo Zhu |
| 2026 | AAAI | Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models. | Chenglong Wang, Yifu Huo, Yang Gan, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Chunliang Zhang, Tongran Liu, Anxiang Ma, Zhengtao Yu, Jingbo Zhu, Tong Xiao |
| 2026 | AAAI | GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning. | Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu, Tong Xiao |
| 2026 | ACL | On the Emotion Understanding of Synthesized Speech. | Yuan Ge, Haishu Zhao, Aokai Hao, Junxiang Zhang, Bei Li, Xiaoqian Liu, Chenglong Wang, Jianjin Wang, Bingsen Zhou, Bingyu Liu, JingBo Zhu, Zhengtao Yu, Tong Xiao |
| 2026 | ACL | SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models. | Yifu Huo, Chenglong Wang, Ziming Zhu, Shunjie Xing, Peinan Feng, Tongran Liu, Qiaozhi He, Tianhua Zhou, Changxiaojia, JingBo Zhu, Zhengtao Yu, Tong Xiao |
| 2026 | ACL | RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment. | Yingfeng Luo, Hongyu Liu, Dingyang Lin, Kaiyan Chang, Chenglong Wang, Bei Li, Quan Du, Tong Xiao, JingBo Zhu |
| 2026 | ACL | SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams. | Chenglong Wang, Canjia Li, Xingzhao Zhu, Yifu Huo, Huiyu Wang, Weixiong Lin, Yun Yang, Qiaozhi He, Tianhua Zhou, Changxiaojia, JingBo Zhu, Tong Xiao |
| 2026 | IUI | ReUseIt: Synthesizing Reusable AI Agent Workflows for Web Automation. | Yimeng Liu, Misha Sra, Jeevana Priya Inala, Chenglong Wang |
| 2025 | AAAI | Region-Based Optimization in Continual Learning for Audio Deepfake Detection. | Yujie Chen, Jiangyan Yi, Cunhang Fan, Jianhua Tao, Yong Ren, Siding Zeng, Chu Yuan Zhang, Xinrui Yan, Hao Gu, Jun Xue, Chenglong Wang, Zhao Lv, Xiaohui Zhang |
| 2025 | AAAI | RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. | Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu |
| 2025 | ACSAC | R+R: From Claims to Crashes: A Systematic Re-evaluation of Graph-Based Network Intrusion Detection Systems. | Chenglong Wang, Pujia Zheng, Jiaping Gui, Cunqing Hua, Wajih Ul Hassan |
| 2025 | CGI | Multi-scale Attention and Adaptive Self-attention for Occlusion-Aware Depth Estimation in Light Field. | Zhineng Zhang, Tao Yan, Chenglong Wang, Xianglong Chen, Jinsheng Liu, Weilong Huang |
| 2025 | CHI | Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way. | Chenglong Wang, Bongshin Lee, Steven Mark Drucker, Dan Marshall, Jianfeng Gao |
| 2025 | EMNLP | Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models. | Kaiyan Chang, Yonghao Shi, Chenglong Wang, Hang Zhou, Chi Hu, Xiaoqian Liu, Yingfeng Luo, Yuan Ge, Tong Xiao, JingBo Zhu |
| 2025 | EMNLP | HEAL: A Hypothesis-Based Preference-Aware Analysis Framework. | Yifu Huo, Chenglong Wang, Qiren Zhu, Shunjie Xing, Tong Xiao, Chunliang Zhang, Tongran Liu, JingBo Zhu |
| 2025 | EMNLP | Defending against Indirect Prompt Injection by Instruction Detection. | Tongyu Wen, Chenglong Wang, Xiyuan Yang, Haoyu Tang, Yueqi Xie, Lingjuan Lyu, Zhicheng Dou, Fangzhao Wu |
| 2025 | ICASSP | Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models. | Yongyu Mu, Hengyu Li, Junxin Wang, Xiaoxuan Zhou, Chenglong Wang, Yingfeng Luo, Qiaozhi He, Tong Xiao, Guocheng Chen, Jingbo Zhu |
| 2025 | ICML | GRAM: A Generative Foundation Reward Model for Reward Generalization. | Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, JingBo Zhu |
| 2025 | IJCNN | DDYOLO: Efficient Rainy Scene Object Detection with Deraining Guidance. | Xianglong Chen, Tao Yan, Chenglong Wang, Jinsheng Liu, Zhineng Zhang, Weilong Huang |
| 2025 | IJCNN | GCGP-YOLO: Global-Local and Channel Grouping Perception Network for Small Object Detection based on YOLOv8. | Jinsheng Liu, Tao Yan, Xianglong Chen, Zhineng Zhang, Chenglong Wang, Weilong Huang |
| 2024 | AAAI | ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. | Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu |
| 2024 | AAAI | What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection. | Xiaohui Zhang, Jiangyan Yi, Chenglong Wang, Chu Yuan Zhang, Siding Zeng, Jianhua Tao |
| 2024 | ACL | Hybrid Alignment Training for Large Language Models. | Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, JingBo Zhu |
| 2024 | CHI | PhotoScout: Synthesis-Powered Multi-Modal Image Search. | Celeste Barnaby, Qiaochu Chen, Chenglong Wang, Isil Dillig |
| 2024 | CHI | How Do Analysts Understand and Verify AI-Assisted Data Analyses? | Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Mark Drucker |
| 2024 | CHI | DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing. | Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang |
| 2024 | CSCWD | Intelligent Vehicles Lane-changing Intention Identification Method with Driving Style Recognition. | Jun Peng, Haowen Tang, Chenglong Wang, Xin Gu, Hui Peng |
| 2024 | EMNLP | Revealing the Parallel Multilingual Learning within Large Language Models. | Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, JingBo Zhu |
| 2024 | ICASSP | Multi-Scale Permutation Entropy for Audio Deepfake Detection. | Chenglong Wang, Jiayi He, Jiangyan Yi, Jianhua Tao, Chu Yuan Zhang, Xiaohui Zhang |
| 2024 | ICLR | Is Self-Repair a Silver Bullet for Code Generation? | Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama |
| 2024 | Interspeech | RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection. | Yujie Chen, Jiangyan Yi, Jun Xue, Chenglong Wang, Xiaohui Zhang, Shunbo Dong, Siding Zeng, Jianhua Tao, Zhao Lv, Cunhang Fan |
| 2023 | CHI | On the Design of AI-powered Code Assistants for Notebooks. | Andrew M. McNutt, Chenglong Wang, Robert A. DeLine, Steven Mark Drucker |
| 2023 | ICASSP | Learning From Yourself: A Self-Distillation Method For Fake Speech Detection. | Jun Xue, Cunhang Fan, Jiangyan Yi, Chenglong Wang, Zhengqi Wen, Dan Zhang, Zhao Lv |
| 2023 | ICLR | Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. | Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao |
| 2023 | ICML | Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection. | Xiaohui Zhang, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Chu Yuan Zhang |
| 2023 | Interspeech | Detection of Cross-Dataset Fake Audio Based on Prosodic and Pronunciation Features. | Chenglong Wang, Jiangyan Yi, Jianhua Tao, Chu Yuan Zhang, Shuai Zhang, Xun Chen |
| 2023 | Interspeech | TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection. | Chenglong Wang, Jiangyan Yi, Jianhua Tao, Chu Yuan Zhang, Shuai Zhang, Ruibo Fu, Xun Chen |
| 2022 | CBMS | Deep Log-Normal Label Distribution Learning for Pneumoconiosis Staging on Chest Radiographs. | Wenjian Sun, Dongsheng Wu, Yang Luo, Lu Liu, Hongjing Zhang, Shuang Wu, Yan Zhang, Chenglong Wang, Houjun Zheng, Jiang Shen, Chunbo Luo |
| 2022 | CVPR | A Coarse-to-Fine Boundary Localization method for Naturalistic Driving Action Recognition. | Guanchen Ding, Wenwei Han, Chenglong Wang, Mingpeng Cui, Lin Zhou, Dianbo Pan, Jiayi Wang, Junxi Zhang, Zhenzhong Chen |
| 2022 | EMNLP | CodeExp: Explanatory Code Document Generation. | Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan |
| 2022 | EMNLP | Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection. | Chenglong Wang, Yi Lu, Yongyu Mu, Yimin Hu, Tong Xiao, Jingbo Zhu |
| 2022 | ICASSP | ADD 2022: the first Audio Deep Synthesis Detection Challenge. | Jiangyan Yi, Ruibo Fu, Jianhua Tao, Shuai Nie, Haoxin Ma, Chenglong Wang, Tao Wang, Zhengkun Tian, Ye Bai, Cunhang Fan, Shan Liang, Shiming Wang, Shuai Zhang, Xinrui Yan, Le Xu, Zhengqi Wen, Haizhou Li |
| 2022 | IGARSS | Cross-Domain Attention Network for Hyperspectral Image Classification. | Chenglong Wang, Minchao Ye, Ling Lei, Fengchao Xiong, Yuntao Qian |
| 2022 | PLDI | Synthesizing analytical SQL queries from computation demonstration. | Xiangyu Zhou, Rastislav Bodk, Alvin Cheung, Chenglong Wang |
| 2021 | CHI | Falx: Synthesis-Powered Visualization Authoring. | Chenglong Wang, Yu Feng, Rastislav Bodk, Isil Dillig, Alvin Cheung, Amy J. Ko |
| 2021 | EMNLP | RankNAS: Efficient Neural Architecture Search by Pairwise Ranking. | Chi Hu, Chenglong Wang, Xiangnan Ma, Xia Meng, Yinqiao Li, Tong Xiao, Jingbo Zhu, Changliang Li |
| 2021 | HPCC | A Real-time Demand Response Strategy of Home Energy Management by Using Distributed Deep Reinforcement Learning. | Weirong Liu, Yujie Wang, Fu Jiang, Yijun Cheng, Jieqi Rong, Chenglong Wang, Jun Peng |
| 2021 | Interspeech | Continual Learning for Fake Audio Detection. | Haoxin Ma, Jiangyan Yi, Jianhua Tao, Ye Bai, Zhengkun Tian, Chenglong Wang |
| 2021 | Interspeech | Half-Truth: A Partially Fake Audio Detection Dataset. | Jiangyan Yi, Ye Bai, Jianhua Tao, Haoxin Ma, Zhengkun Tian, Chenglong Wang, Tao Wang, Ruibo Fu |
| 2020 | CAV | Program Synthesis Using Deduction-Guided Reinforcement Learning. | Yanju Chen, Chenglong Wang, Osbert Bastani, Isil Dillig, Yu Feng |
| 2020 | CHI | Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints. | Amanda Swearngin, Chenglong Wang, Alannah Oleson, James Fogarty, Amy J. Ko |
| 2020 | HPCC | An Online Reinforcement Learning Offloading Method for Delay-Sensitive Vehicular Service. | Weirong Liu, Xingju Shao, Chenglong Wang, Xin Gu, Fu Jiang, Jun Peng |
| 2020 | ICPR | R2SN: Refined Semantic Segmentation Network of City Remote Sensing Image. | Chenglong Wang, Dong Wu, Jie Nie, Lei Huang |
| 2020 | SMC | An Adaptive Deep Q-learning Service Migration Decision Framework for Connected Vehicles. | Chenglong Wang, Jun Peng, Fu Jiang, Xiaoyong Zhang, Weirong Liu, Xin Gu, Zhiwu Huang |
| 2020 | SIGMOD | Testing query execution engines with mutations. | Xinyue Chen, Chenglong Wang, Alvin Cheung |
| 2019 | CVPR | Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. | Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli |
| 2019 | MICCAI | Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images. | Chenglong Wang, Yuichiro Hayashi, Masahiro Oda, Hayato Itoh, Takayuki Kitasaka, Alejandro F. Frangi, Kensaku Mori |
| 2018 | LREC | NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System. | Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, Michael D. Ernst |
| 2018 | NAACL | Natural Language to Structured Query Generation via Meta-Learning. | Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He |
| 2017 | CIDR | Cosette: An Automated Prover for SQL. | Shumo Chu, Chenglong Wang, Konstantin Weitz, Alvin Cheung |
| 2017 | KDD | A Hybrid Framework for Text Modeling with Convolutional RNN. | Chenglong Wang, Feijun Jiang, Hongxia Yang |
| 2017 | PLDI | Synthesizing highly expressive SQL queries from input-output examples. | Chenglong Wang, Alvin Cheung, Rastislav Bodk |
| 2017 | SIGMOD | Demonstration of the Cosette Automated SQL Prover. | Shumo Chu, Daniel Li, Chenglong Wang, Alvin Cheung, Dan Suciu |
| 2017 | SIGMOD | Interactive Query Synthesis from Input-Output Examples. | Chenglong Wang, Alvin Cheung, Rastislav Bodk |
| 2016 | ECOOP | Transforming Programs between APIs with Many-to-Many Mappings. | Chenglong Wang, Jiajun Jiang, Jun Li, Yingfei Xiong, Xiangyu Luo, Lu Zhang, Zhenjiang Hu |
| 2016 | MICCAI | Tensor-Based Graph-Cut in Riemannian Metric Space and Its Application to Renal Artery Segmentation. | Chenglong Wang, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Alejandro F. Frangi, Kensaku Mori |
| 2015 | PEPM | SWIN: Towards Type-Safe Java Program Adaptation between APIs. | Jun Li, Chenglong Wang, Yingfei Xiong, Zhenjiang Hu |
| 2015 | SAC | Composable and hygienic typed syntax macros. | Cyrus Omar, Chenglong Wang, Jonathan Aldrich |